NVIDIA53Figure48Tesla30Unitree27Skild AI26Agility25Google21BMW20Apptronik12Boston Dynamics12axis robotics11World Labs11Agibot10Hugging Face9Physical Intelligence9Fcc8OpenAI7SoftBank7XPENG7Meta61X5Anthropic5Sanctuary AI5Alibaba4Booster Robotics4DYNA Robotics4General Motors4Generalist4GXO4Hyundai4LG4Schaeffler4Veeda AI4video uploads4A16z3agentic video understanding3Amazon3app downloads3Callosum3Caterpillar3Deep Robotics3dollars3FieldAI3Generalist AI3Lightwheel3LimX Dynamics3Noble Machines3Pollen Robotics3Samsung3Spacex3The University of Hong Kong3Thinking Machines Lab3UnitreeRobotics3VisiveAI3Waymo32077 Ventures2a16z New Media2Aglaé Lab2AI chip inference cluster2Alloy Robotics2AllSpice.io2Alpha Intelligence Capital2Ambarella2AMI Labs2Applied Intuition2Artémis2Association Familiale Mulliez2Atlas2Avnet2BHW Technologies, Ltd.2Bpifrance Digital Venture2BYD2Cargt2Carnegie Mellon2Cedarware Corp2CELUS2DeepSeek2Din Tai Fung2Dojo Five2DynaRobotics2Fable2Fetch Robotics2Finite State2Ford Motor Company2Foxglove2fremont2Gaorong Ventures2giga-texas2GoogleDeepMind2GPT2Gravis Robotics2Green Hills Software2Groupe Industriel Marcel Dassault2Harmonic Drive2HHMI Janelia2IAR2IDG Capital2Imagimob AB2Intel2Juul Labs Inc.2Khosla Ventures2Lingyi iTech2Mentee Robotics2Mercado Libre2Mercedes-Benz2Microchip Technology2mondorobotics2MosChip Technologies Limited2Nabla2napkin production2NEURA2New Legacy Ventures2Nscale2Nucleus2Panasonic2Pixomondo2plant-spartanburg2Proactive International PR2Promise2Publicis Groupe2QNX2Qualcomm2QuEra2Qwen3.8-Max-09022Radical Ventures2Real-Time Innovations (RTI)2Rheem Manufacturing2Rhoda2Runway2Savoir-Faire Linux2SBVA2Scale AI2Sea2Sealevel Systems, Inc.2Soliton Technologies2TASKING USA, LLC2Temasek2Tencent2Thread Group2tokens processed2Toradex2total paid out2total payment2Toyota Motor Manufacturing Canada2Toyota Ventures2training data2Uber2UBTech2Universal Robots2Wayve2weekly active contributors2weekly active users2Wibu-Systems USA2X Square Robot2X-Humanoid2XPENG Robotics2ZEBOX Ventures2Zeroth Bridge2Zhejiang University2Zhipu2アスター2燈2秋田県横手市23D inkjet printing13D reconstruction1ACE Robotics1adaptation time for new robot embodiments1ADLINK1ADLINK_IoT1Advanced Micro Devices Inc1Aeva Technologies Inc1AgiBot World platform comprises over 1 million trajectories.1Agibot's performance in the World Humanoid Robot Games.1Agile Robots1AGILINKai1agility-robotics-robofab-facility1Aigen1Aimalysheva1Alloy Robotics funding1Alphabet1amazon-warehouses1Ambarella Inc1AMD1AMD Ventures1AMI Labs funding1Amount raised by AMI Labs in funding.1Anduril1Another engagement measure on the post.1Another engagement metric.1Antioch1Aramco1Archetype AI1articulated assets1Astribot1Atlas model for spatial intelligence.1Atlas performance1ATOMS1AUKI1Avala1average per-step success1average performance improvement of policies using the dataset.1AVERI1AVITA1AWS1Axis Robotics ranking1badges for contributions in the AXIS campaign.1Bank of America1Bedrock1Beningo Embedded Group1Binance1bipedal humanoids production1BlackRock1BMW Spartanburg1bmw-factory1bmw-spartanburg1bmw-spartanburg-plant1Bosch1Boston Hardware Studios1bottlenecks for scaling intelligent robots.1BrainCo1Bronze medals won by Agibot.1C4 Ventures1california-mega-factory1carbon reduction1Cardinal Group1CareIT1Carnegie Mellon integration time1Caterpillar's operational data.1CATL1Cerebras1Cerebras WSEs needed for reasonable concurrency of 256 requests.1Cerebras WSEs needed for running a large model.1CERN1CGNX1Changan1chemistry1CHERY1Chery Automobile1China National Petroleum1China Southern Power Grid1China Telecom1china’s-ministry-of-industry-and-information-technology1Churchill Capital XI1Citic Securities1CJ Logistics1claimed humanoid $/hour (low)1Clone Robotics1Cloudflare1Cognex1Cognex Corp1Columbia University1commitment on data and compute1commitment to data and compute for the next 12 months1Compute requirements for humanoids.1Contact CI1Continuum Labs1contracted orders1Cooley LLP1Cosmicbrainai1cost of infrastructure1Cost of the GR-1 humanoid1Cover1crowns1Cruise1Current hours of available data for training robots.1Current throughput of valid trajectories collected per hour.1CXMT1CXMT's IPO performance1Cycle time for completing a plug insertion.1cycle time for the insertion task1Dandy1data centers.1data collection1data efficiency comparison1Datadog1DeepgramAI1Delivery timeline for a data center.1Delta in cost due to supply chain differences1Demonstrations collected for the tasks.1deployments of Spot1development timeline of Moby.1development timeline reduction.1Dexmal1Diligent Robotics1Direct wafer paths reduction in latency.1DiscoLoopAI1Dobot1DoorDash1Doosan Bobcat1downloads1DROID dataset robot interaction data1Drones owned by the Pentagon1Dusty Robotics1Dyna1DYNA Robotics Inc.1Dyna-11Dyna-21Dynamo Ventures1eastworlds_io1economic gains1electric vehicle makers building humanoids1Embodied AI model1episodes in RoboLab evaluation1Equinor1ESA1estimated revenue in 20261europe1Event Duration1examples for adapting to new robotic embodiments.1Exor Seeds1external funding round1factory capacity1factory-in-china1fal1Fanuc1Fanuc America1FEV Consulting1Fictiv1Field AI1FieldAI-powered robot1fiftyyears1Figure03 features a cooking and organizing function.1FigureAI1filtered simulation episodes1Flash1Flexion Robotics1FORT Robotics1Foundation1Fourier Intelligence1Fraunhofer1Fudan University1funding for the humanoid company1Further engagement measure on the post.1G1 humanoid grasp and lift task1GAC1Galbot1Galbot G1 swept the three most challenging scenario competitions at #WHRG: Home, Catering, and Retail.1Galbot Robotics1GalbotRobotics1Geely Auto1GEN-1.5 can learn new tasks in a few seconds.1GEN-1.5 model capabilities1General Catalyst1general purpose robot foundation model1GeneralistAI1Genesis AI1GGUF conversion and quantization1global market forecast for humanoid robots by 20271gold medals won at the World Humanoid Robot Games1Gold medals won by Agibot.1GoldmanSachs1government-of-the-republic-of-serbia1Gritt1Grok1Groq1group-plant-leipzig1GrubMarket1guangxi-regional-government1H3 Max Turbo1hams-hall-plant1hardware design1Hark1Harvard University1HCVC1herzogenaurach1Hexagon AB1historic crime scenes1Honda1Horizon Robotics1humanoid market1Humanoid robots1Humanoid robots procurement1humanoid robots shipped in 20251humanoids built1Hydra-0 training1Hyper3D1Hyundai Atlas annual target1ICE's spending on robots.1ICL scaling gains over language prompting are moderate for seen tasks.1IEEE Robotics and Automation Society1IHMC1Index contributor payments1Index uploads1industrial robots installed in China1industrial robots installed in the US1Infineon1insertion trials conducted over 40 minutes1Integration of robotic components.1Intuitive Surgical1investment in Veeda1iRobot1Irregular1issue of IEEE Spectrum1j-hrti-kanto-data-factory-in-narashino,-chiba1Japan's postal service1JD.com1JINGDONG Industrials1justice-department1Kawasaki Heavy Industries1lackawanna-energy-center1land-transport-authority-singapore1Lattice Semiconductor1LDV Capital1Leju Robotics1Li Auto1Lightspeed1likes on Seohong Park's post1Lincoln1Linker Vision1liuzhou-training-center1Long-horizon unseen tasks1Lotus Cars1Madison Air1manipulation tasks1ManusMeta1Manycore Tech1MarathonMP1Marble1market share of Chinese firms in humanoids.1market size for Autonomous AI1Matic1Max tasks available per day during the campaign.1maximum number of times a user can complete the same task.1McAfee1McKinsey & Company1Mecka1memory manufacturer capacity1MERPHI1Microduck1Microduck's cost associated with RAM1Milk Road Pro1Mind Robotics1MiniMax1ministry-of-economy,-trade-and-industry-(meti)1ministry-of-science-and-ict1Minth Group1minth-metal-parts-majur1MIPS, by GF1MISUMI1MIT1MLCommons1Mobileye1Moby deployment in a semiconductor facility.1Model merge process1model size1Morgan Stanley1MorganStanley1Mostik1Motherboard Labs1MP Materials1Munari1Muse1National Council for Social Security Fund1NBT average for RandER.1NBT average with 1% Memory Anchors removed.1NBT average with 10% Memory Anchors removed.1NBT average with 5% Memory Anchors removed.1NEC1Nemotron 3.5 Lightning on Jetson AGX Thor1NEO1NeoSigma1Neura Robotics1Newlab1Nexthop AI1Niron Magnetics1Nissan1nissan-tcat1NobleMachines1Noom1Norbert Health1NotionHQ1NSF1NSF award1Number of contributors for the engine on Base.1Number of downloads of the Index platform.1Number of global contributors and collected trajectories on the platform.1number of objects in AgiBot World.1Number of tasks published.1NVIDIARobotics1Ondas Inc1ONDS1OpenMined1operational stock of industrial robots in China1operational stock of industrial robots in the US1Optimi1Orders for NEO1OUST1Ouster Inc1outsetcap1Owkin1Parasoft1Patient acceptance rate.1payments made1payments made through Index1payments to data creators1payouts1PEAQ1pennsylvania-governor-josh-shapiro1perception system1Perceptron1Perceptron AI1perceptroninc1performance comparison1performance improvement of the proposed policy over prior arts.1Performance metric for model.1performance of Dyna-21performance of S1 compared to VLAs1performance of S1 on novel tasks1Peridio1Personal investment by XPENG founder and co-president1physical AI data delivered1Pink Robotics1PiPER1Ports connecting NPUs within the rack.1Ports connecting to the network of switches.1post-training duration1power consumption comparison of Jetson Orin Nano 21Predicted deployment of humanoid robots in homes.1previous performance of Dyna-11PrismaX1proception1production facilities1production requirement for napkins1production requirements for napkins1Projected cost drop for humanoid robots.1Projected growth in revenue from physical AI.1Projected shortage of healthcare staff.1projected spending1prototype1PSYONIC1Qatar Investment Authority1QuEra controller success rate1Qwen3.5-4B on Jetson Orin Nano1Racepoint Global1rallies1Red Cat Holdings1Reflect V1.0 from Flexion Robotics.1Regal Rexnord1Renesas1replies on Seohong Park's post1retweets on Seohong Park's post1Ricursive Intelligence1Rivian1RLWRLD1RLWRLD_ai1RobbyAnt1RoboCup 20251robofab1RoboSense1robot data collection1robot deployment1robot interaction data from the DROID dataset1robot learning economics1robot programming1robot training1robot trajectories1robot-park1Robotera1robotics-industrial-park1ROBOTIS1Robots & Startups by Andra Keay.1Rockwell Automation1ROSCon Global 20261S1 compared to current VLA models1S1 model capabilities1S1 robot foundation model1S1's accuracy compared to conventional VLA models.1S1's accuracy with one example compared to current VLA models1S1's performance on manipulation tasks1SAGE-10K dataset1SAIC1SambaNova1sanctuary1Saronic1Scale AI data delivery1Schaeffler’s agreement with Humanoid1Science Robotics1SDLC process rewriting1sec1Second State Inc1Secure-IC1Secure-IC – a Cadence Company1seed studio1Seeed1Seeed Studio1Sequoia Capital1Sequoia's fundraising1Serena Capital1Seres1Series A funding for Norbert Health.1Serve Robotics1shanghai1Shanghai AI Lab1Shanghai Innovation Institute1Shield AI1ShuoYangAIR1Silver medals won by Agibot.1sim-to-real gap1Simulated robot bodies1Singapore AI Safety Institute1Skydio1SMRT1Solomon1Sony1south-korea-ministry-of-planning-and-budget1SpaceXAI1spartanburg1speedup in generative performance1Stanford University1status of physical AI companies1Stretch1subscribers1Subscribers to Robots & Startups.1Subscribers to SemiAnalysis.1success rate for few-shot learning1Success rate of AI-controlled trials.1success rate of the post-trained policy.1success rate of the wire insertion task1success rate with few-shot learning1success rate with one-shot physical prompting1successful grasps by the G1 humanoid on hardware.1sundayrobotics1Symbotic Inc1Synopsys1System 01System 11target action-loss1Target valid hours of data per month from the Mobile Ego-Centric App.1tasks available in RoboLab.1tasks from the Humanoid Olympics1technia1Techniahq1teleoperation for new tasks1teleoperation hours1teleoperation reduction1Tencent Holdings1TER1Teradyne Inc1the 2026 World Humanoid Robot Games1the future of humanoids in robotics.1the number of competition categories in the 2026 World Humanoid Robot Games1The number of engagements (e.g. likes, shares) on the post.1the number of humanoid robots within the next decade1the number of processes that PrismaX helps to structure.1the number of tasks performed by operators.1the number of teams in the 2026 World Humanoid Robot Games1the process flow of how PrismaX operates.1the project stand not just as a piece of marketing, but as a vision statement: a world built by the very technology that made it possible.1the release of the September issue of the magazine.1TheSanctuaryAI1time taken for the robot to autonomously run the task1Timeline for the plant potting task.1Top vendor positions in global humanoid shipments.1Total capital raised by Norbert Health.1total memory demand with 1 million humanoid robots1total memory demand with 10 million humanoid robots1Total number of trajectories collected.1Total number of videos collected by Index.1total payments made1Total points per reward cycle.1Total points reserved for Binance Keyless Wallet users.1total production of humanoid robots1Total robotic systems procurement1Total trajectories in the engine.1total views of the post.1Toyota1Toyota Canada1Toyota Research Institute1training duration1training hours for LDA-1B model1training needed for current VLA models to match S1's accuracy1training video hours1transaction valuation1TranscEngram1TRON 21TRON K.K.1u.s.-government1UC Berkeley1Ugo1UMAC1UMI1UMI and teleoperation in robotics1Unitree上市估值1units1us-government1UT Austin1VAC1validated run uses 64 nodes of 4× GB200 for 60K iterations, roughly 68 hours (17.4K GB200-hours).1valuation1Valuation of robotics startup Generalist.1Veeda1venture funding into physical AI1vercel1video generation1videos uploaded1Views on the post1VR demo at Greg's house.1wafer1Wafer's funding announcement.1weekly active users for data collection1Wing1Wing_VC1Wonik Robotics1xAI1Xiaomi Technology1Xiaomi Technology robots deployment1XPeng Motors1XPENG Robotics funding1XPENG's robotics funding1Xpeng’s robotics unit raised1XSquareRobot1Xynova1yangji-olive-young1ycombinator1Zebra1Zeroth Robotics1ZiNovaLabs1Zite1三菱電機1出資1北京人形机器人创新中心有限公司1国家发展改革委1宇树科技1开发者大会参与人数1燈がアスターに出資する計画1特斯拉1
Thinking Machines Lab$1billion“Thinking Machines Lab is in talks to raise $1 billion at a $40 billion pre-money valuation, according to The Information.”@stretchcloud on X
Thinking Machines Lab$1billion“Thinking Machines Lab is in talks to raise $1 billion at a $40 billion pre-money valuation, according to The Information.”@stretchcloud on X
H3 Max Turbo$0.01“a $0.01/s video generation endpoint makes AI video economically viable for things like product demo generation, marketing content pipelines, and real-time synthetic data.”@stretchcloud on X
Zeroth Bridge12 units“At 88 cm tall and 12 kg, it can walk, jump, dance and even do backflips.”@HumanoidsHQ on X
Zeroth Bridge$1,322“The Geek Edition costs $1,322 and is designed for developers, research, education and robotics competitions.”@HumanoidsHQ on X
Meta and Muse Spark 1.3 performance upgrade$0“Mark Zuckerberg calling it "frontier performance almost too cheap to meter."”@TheRundownAI on X
VR demo at Greg's house.1 units“I just had the demo. F***ing amazing!”@Scobleizer on X
3D reconstruction25.3 units“Atlas claims mean AbsRel error of 25.3, better than specialist tools built for that task.”@stretchcloud on X
ROSCon Global 202615 units“ROSCon Global 2026 is the fifteenth annual flagship developer conference for the Robot Operating System (ROS) community.”NVIDIA at ROSCon 2026 | Toronto, Canada
manipulation tasks120 units“across 120 language-conditioned manipulation tasks”@NVIDIARobotics on X
Hydra-0 training2202 hrs“It was trained on about 2,202 hours of multi-embodiment video spanning human hands, handheld grippers, single-arm robots and bimanual systems.”@techniahqrobot on X
valuation of Unitree$1,200“companies like Unitree reach valuations exceeding 1,200x earnings”@10xthinker on X
Optimus Gen 2 cost estimation$45,500“Morgan Stanley estimates building an Optimus Gen 2 costs $45,500 using China's supply chain, versus $131,800 without it.”@smsehy on X
Optimus Gen 2 cost estimation$45,500“Morgan Stanley estimates building an Optimus Gen 2 costs $45,500 using China's supply chain, versus $131,800 without it.”@smsehy on X
Delta in cost due to supply chain differences$86,300“That $86,300 delta is not simply raw neodymium pricing.”@smsehy on X
XPENG Robotics funding$900million“XPENG’s robotics business raised more than $900 million at a post money valuation above $6.3 billion, representing the largest single private financing recorded in China’s embodied AI sector to date.”Humanoid Digest: August 2026 | XMAQUINA DAO
Alloy Robotics funding$11.5million“Sydney based Alloy Robotics raised A$11.5 million in a seed round led by Square Peg, with Blackbird, Airtree and Skip Capital among the returning investors.”Humanoid Digest: August 2026 | XMAQUINA DAO
Figure Index uploads16,000,000 units“Figure says Index has accumulated more than 16 million video uploads across 108 countries, with 264,000 app downloads and more than 44,000 weekly active users.”Humanoid Digest: August 2026 | XMAQUINA DAO
Compute requirements for humanoids.0 units“Sizing on-chip memory buffers to prevent bus saturation during continuous high-rate tactile policy execution directly dictates compute bill of materials.”@smsehy on X
the number of humanoid robots within the next decade1,000,000,000 units“Musk also believes robots could eventually help manufacture more robots, creating a self reinforcing production cycle that accelerates after starting slowly.”@MilkRoadAI on X
data collection200 hrs“.@eastworlds_io is producing 200 hours of humanoid teleop data every week, making it the largest @UnitreeRobotics G1 data source outside China.”@0xconglomerate on X
Embodied AI model36,000,000,000 units“A 36B parameter model just blurred one of robotics’ biggest boundaries, the gap between seeing a scene and acting on it.”@techniahqrobot on X
Ports connecting NPUs within the rack.7 units“Seven ports are used to connect other NPUs on the same tray over flyover cables.”@SemiAnalysis_ on X
Ports connecting to the network of switches.4 units“This leaves the remaining 4 ports to connect to a network of low-radix-switches in the backplane for further intra-rack connectivity.”@SemiAnalysis_ on X
Nemotron 3.5 Lightning on Jetson AGX Thor44.8 hrs“On Jetson AGX Thor, the three training steps completed in 44.8 seconds and saved a 438 MB adapter.”Optimize Models with Unsloth | Jetson AI Lab
FieldAI-powered robot1 units“A FieldAI-powered robot, pictured with Singapore's Minister for Transport Jeffrey Siow at @SMRT_Singapore's Gali Batu Bus Depot.”@fieldai_ on X
Agibot's performance in the World Humanoid Robot Games.46 units“Agibot finished #1 in both golds and total medals, with 18 gold, 16 silver and 12 bronze, 46 medals altogether.”@ruima on X
Gold medals won by Agibot.18 units“Agibot finished #1 in both golds and total medals, with 18 gold, 16 silver and 12 bronze, 46 medals altogether.”@ruima on X
Silver medals won by Agibot.16 units“Agibot finished #1 in both golds and total medals, with 18 gold, 16 silver and 12 bronze, 46 medals altogether.”@ruima on X
Bronze medals won by Agibot.12 units“Agibot finished #1 in both golds and total medals, with 18 gold, 16 silver and 12 bronze, 46 medals altogether.”@ruima on X
humanoid robots shipped in 20255,500 units“unitree shipped 5,500 humanoid robots in 2025 – more than tesla, figure ai and agility robotics combined.”@thehypedotnews on X
total production of humanoid robots6,500 units“total production exceeded 6,500 units.”@thehypedotnews on X
global market forecast for humanoid robots by 2027100,000 units“counterpoint forecasts the global market hitting 100,000 units by 2027 – 6x the 2025 numbers.”@thehypedotnews on X
Cost of the GR-1 humanoid$125,000“Shanghai-based Fourier Intelligence deployed their $125,000 GR-1 humanoid onto public transit to assist an elderly citizen.”@rich_odinn on X
@ycombinator fall cohort companies5 units“5 @ycombinator fall cohort companies across Compute, Energy, Hardware and DevTools.”@frontrunvc on X
Microduck's cost associated with RAM$15“even with only 1 GB of RAM, the memory alone is already 10–15% of Microduck's total price.”@Thom_Wolf on X
total memory demand with 1 million humanoid robots$600million“that could represent approximately $600 million–$800 million in memory content, while 10 million robots could create a $6 billion–$8 billion opportunity.”@MelvinInvests on X
total memory demand with 10 million humanoid robots$6billion“while 10 million robots could create a $6 billion–$8 billion opportunity.”@MelvinInvests on X
venture funding into physical AI$47.4B“Global venture funding into physical AI hit $47.4B across 521 deals in H1 2026 — nearly 4x the prior half.”@davidcao01 on X
Sequoia's fundraising$10B“Sequoia raised $10B four months after a $7B raise, explicitly reframing its thesis from "algorithms to atoms"”@davidcao01 on X
SoftBank's investment in Skild AI$1.4B“SoftBank led a $1.4B Series C into robotics firm Skild AI, tripling its valuation to $14B in seven months”@davidcao01 on X
teleoperation hours100000 hrs“Skild says the equivalent training data took to collect.”@Robot_AIsignals on X
average per-step success66 units“Skild reports 66% average per-step success on unseen tasks against 9% for a language-prompted baseline, once pre-training reaches 100,000 hours (company claim, internal evaluation).”@Robot_AIsignals on X
Index uploads16,000,000 units“Index has taken 16 million uploads from 108 countries,”@Robot_AIsignals on X
weekly active contributors44,000 units“carries 44,000+ weekly active contributors”@Robot_AIsignals on X
payments made through Index$15M“has paid out $15M — with over $1B committed to data and compute across the next twelve months (company claims).”@Robot_AIsignals on X
rallies100 units“Galbot robots completed 100+ consecutive rallies at the World Humanoid Robot Games 2026 while tracking the ball, moving around the court and responding in real time.”@ctorobotics on X
insertion trials conducted over 40 minutes313 units“The trial used robotic hands rather than a complete humanoid to insert flexible wired plugs into moving targets on a live conveyor at a global Tier 1 automotive supplier.”Sanctuary AI puts humanoid tech on industrial robots
success rate of the wire insertion task$99.5“Sanctuary AI has deployed technology developed alongside its Phoenix humanoid on an industrial wire insertion task, reporting a success rate above 99.5%”Sanctuary AI puts humanoid tech on industrial robots
Humanoid robots500,000 units“industry-wide estimates pointing toward roughly 500,000 units/year by 2027 across Optimus, Figure, 1X, Unitree, and others.”@davidcao01 on X
Drones owned by the Pentagon200,000 units“The Pentagon's Drone Dominance Program has committed $1 billion to purchasing more than 200,000 drones by 2027, scaling to 340,000 by 2028.”@davidcao01 on X
XPENG's robotics funding$900million“Its robotics business just raised more than $900 million, reaching a post-money valuation above $6.3 billion.”@techniahqrobot on X
Personal investment by XPENG founder and co-president$100million“XPENG founder He Xiaopeng and co-president Brian Gu also invested roughly $100 million personally.”@techniahqrobot on X
Number of global contributors and collected trajectories on the platform.150,000 units“As of late August 2026, the platform has surpassed 150,000 global contributors and collected over 3.7 million trajectories across 4,000+ published tasks.”Cicada Market Making on X: "https://t.co/26k9SK56mf" / X
Total number of trajectories collected.2,100,000 units“2.1 million trajectories”@em3kagmi on X
Number of tasks published.1,600 units“1,600+ published tasks.”@em3kagmi on X
Total trajectories in the engine.3,000,000 units“the engine on Base had reached 3 million trajectories from 123,000+ contributors.”@em3kagmi on X
Number of contributors for the engine on Base.123,000 units“from 123,000+ contributors.”@em3kagmi on X
Cerebras WSEs needed for running a large model.$20M“that’s over $20M of CAPEX and 1MW of power consumption before you can get a forward pass on a frontier model.”Cerebras's Next Generation CS-4: Fast Just Got Faster
System 11 hrs“System 1 turns that into full-body joint targets at 200 Hz.”@techniahqrobot on X
System 01 hrs“System 0 runs at 1,000 Hz constantly adjusting balance, contact and coordination.”@techniahqrobot on X
transaction valuation$2.5B“Agility’s $2.5B transaction valuation is beginning to look increasingly conservative.”@jinseongeo83473 on X
contracted orders$300M“$300M+ in multi-year contracted Digit v5 orders”@jinseongeo83473 on X
external funding round$900M“XPeng Robotics recently raised more than $900M in its first external funding round”@jinseongeo83473 on X
status of physical AI companies0 units“Most Physical AI companies are still doing lab demos.”@Rewkang on X
Funding$120M“DYNA Raises $120M for Physical AGI”Careers — DYNA
production requirements for napkins1,500 units“To keep one Din Tai Fung dining room supplied, a robot has to produce 1,500 table-ready napkins in a day’s shift.”@DynaRobotics on X
previous performance of Dyna-1480 units“A year ago, ours managed 480 with Dyna-1.”@DynaRobotics on X
performance of Dyna-21,500 units“Today with Dyna-2, we clear well over 1,500 napkins, 2.7x faster and at higher quality.”@DynaRobotics on X
Dyna-11 units“Twelve months ago, Dyna-1 was the most reliable robot foundation model DEMO published at the time.”@DynaRobotics on X
Dyna-21 units“Today the comparison with Dyna-2 is stark.”@DynaRobotics on X
Xiaomi Technology robots deployment1 units“Xiaomi Technology is deploying wheeled and humanoid robots inside its automotive manufacturing facility.”@ctorobotics on X
the 2026 World Humanoid Robot Games2,000 units“The broader 2026 Games reflect the same shift. With more than 2,000 robots, 666 teams, and 51 competition categories, the event now goes well beyond sports, including industrial tasks, precision manipulation, and real-world service scenarios.”@NewsHumanoid on X
the number of teams in the 2026 World Humanoid Robot Games666 units“With more than 2,000 robots, 666 teams, and 51 competition categories, the event now goes well beyond sports, including industrial tasks, precision manipulation, and real-world service scenarios.”@NewsHumanoid on X
the number of competition categories in the 2026 World Humanoid Robot Games51 units“With more than 2,000 robots, 666 teams, and 51 competition categories, the event now goes well beyond sports, including industrial tasks, precision manipulation, and real-world service scenarios.”@NewsHumanoid on X
Galbot G1 swept the three most challenging scenario competitions at #WHRG: Home, Catering, and Retail.3 units“3 GOLD MEDALS.”@GalbotRobotics on X
Delivery timeline for a data center.30 hrs“Turner’s prefab arm xPL Offsite delivered a hot-aisle containment system for a 30MW rapid-deployment data center.”Dynamo Dispatch (2026/08/24) - by Santosh Sankar
weekly active users for data collection43,000 units“We're now over 43,000 weekly active users collecting data to train Helix, our AI model for F.03 robots”@adcock_brett on X
robot training0 hrs“the robot couldn't learn from video alone. failed over and over.”@antopatrex1 on X
robot deployment0 units“you need to deploy robots for robots to get better.”@antopatrex1 on X
Gemini Robotics ER2 units“I believe Gemini Robotics ER 2 is a clear example here.”@zhodonx on X
Simulated robot bodies100,000 units“They trained locomotion across 100,000 simulated robot bodies, which forces the policy to deal with different morphologies instead of just memorizing how one specific robot moves.”@0xconglomerate on X
robot data collection50 hrs“Practically takes much longer than 50-100hrs to collect 50hrs of robot data assuming people take break or make mistake too.”@deepakpathak on X
robot trajectories1 units“Every task you complete on Axis Hub is a robot trajectory — real training data for real robot policies.”@axisrobotics on X
commitment to data and compute for the next 12 months$1B“$1B committed to data and compute”@TheHumanoidHub on X
data efficiency comparison380 units“Skild S1 is 380 times more data efficient than standard VLA models!”@gupta_abhinav_ on X
robot learning economics$1“you pay the enormous data bill once during foundation-model training, then amortize it across thousands of new tasks through prompting.”@rohanpaul_ai on X
S1's performance on manipulation tasks$380“one video demonstration provided roughly the benefit of 380 post-training examples!”@DeryaTR_ on X
S1 robot foundation model1 units“Skild has released S1, a robot foundation model where you specify the task with a video demonstration instead of a language instruction.”@TheHumanoidHub on X
performance of S1 compared to VLAs0 units“For known tasks, S1 can match the performance of language-prompted VLAs.”@SkildAI on X
performance of S1 on novel tasks0 units“For novel tasks, S1 exponentially outperforms any existing language-prompted VLAs as we scale the pre-training.”@SkildAI on X
teleoperation for new tasks100 hrs“A new task used to mean a hundred hours of teleoperation and a training run.”@humanoidsdaily on X
time taken for the robot to autonomously run the task11 units“Skild set up a plant potting task at 8:54pm and had the robot running it autonomously 11 minutes later.”@humanoidsdaily on X
sim-to-real gap1 units“A robot can learn to perform a task almost perfectly in simulation, then fail when it encounters the real world.”@continuumlabs_ on X
subscribers10,000 units“Andra Keay does a lot of work describing how the development of robotics will shape our future. Her weekly posts are detailed and meticulously written.”ACTUATE takeaways and inside the FCC bans - by Andra Keay
Unitree G1 humanoid robot1 units“The Unitree G1 humanoid robot can drive a go-kart, controlling the steering wheel and pedals around an indoor track.”@spaceandtech_ on X
industrial robots installed in China276,000 units“China installed roughly 276,000 industrial robots last year.”@GordonJohnson19 on X
industrial robots installed in the US38,000 units“The US installed about 38,000.”@GordonJohnson19 on X
operational stock of industrial robots in China2,000,000 units“China's operational stock is roughly 2 million units against our 394,000.”@GordonJohnson19 on X
operational stock of industrial robots in the US394,000 units“China's operational stock is roughly 2 million units against our 394,000.”@GordonJohnson19 on X
market share of Chinese firms in humanoids.100 units“Chinese firms shipped something like 80% of the world's humanoids and hold ~85% of the market.”@GordonJohnson19 on X
@RoboPapers 209187717329235601230000 hrs“30,000 hours”@RoboPapers on X
articulated assets27 units“TaskGen now includes a library of 27 articulated object families (4 variants each).”@axisrobotics on X
robot programming1 units“If showing it once is enough, that changes both how fast a robot becomes useful and who can work with one.”@TheHumanoidHub on X
Reflect V1.0 from Flexion Robotics.0 hrs“A robotics intelligence platform designed to help robots complete complex tasks autonomously without a human operator.”@spaceandtech_ on X
Predicted deployment of humanoid robots in homes.2,000,000,000 units“62% of that eventual 3 billion — roughly 2 billion units — end up inside homes, not factories.”Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
Projected cost drop for humanoid robots.$17,000“falling to around $17,000 by 2030 — converging with Unitree's G1, already priced near $16,000.”Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
Deployment of robots in BMW's manufacturing line.30,000 units“Figure's robots spent 11 months on BMW's Spartanburg line, contributing to 30,000+ vehicles.”Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
BMW Group production30,000 units“the Figure 02 robot supported the production of more than 30,000 BMW X3 vehicles over ten months.”Press-Information June 25th 2026
BMW Group's production capabilities with humanoid robots.30,000 units“Figure 02 supported the production of more than 30,000 BMW X3 vehicles.”BMW Group deploys Figure 03
deployments of Spot1,500 units“With over 1,500 deployments, Spot is already teaching hundreds of companies how to work alongside autonomous mobile robots.”An Electric New Era for Atlas | Boston Dynamics
Training Data20000 hrs“N1.7 is pretrained on 20K hours of EgoScale human video data alongside diverse robot demonstrations.”NVIDIA/Isaac-GR00T
the project stand not just as a piece of marketing, but as a vision statement: a world built by the very technology that made it possible.1 units“The production fused artistry, engineering, and emotion into a single workflow, revealing what’s possible when imagination becomes interactive.”Bringing Marble to Life | World Labs
performance improvement of the proposed policy over prior arts.32 units“it is trained across diverse data corpus with a scalable performance of 32% gain compared to prior arts.”AgiBot World Colosseo: A Large-scale Manipulation Platform
video generation1 units“Atlas generates images and videos from one or more images with pixel-perfect camera control, outputting up to 1 minute of video at 1440p.”World Labs Atlas
Tactile dexterous hands provide high compliance, but deploying them into industrial assembly requires rigorous cycle testing to ensure flexible skin sensors and internal tendon cables survive harsh abrasive factory environments. https://t.co/WbWWApSM8A
11:15 PM ET
@smsehy
11:15 PM ET@smsehy
@smsehy on X
The physical AI bottleneck is not token volume, but rich force-torque telemetry and tactile slip dynamics. Learning physical interaction requires real-world data pipelines that log contact physics at kilohertz sample rates. https://t.co/YoW0X7SyiX
11:15 PM ET
@smsehy
11:15 PM ET@smsehy
@smsehy on X
Augmenting sparse real-world physical demos with procedural simulation bridges early skill acquisition, but factory validation still demands testing across uncalibrated part tolerances and surface contamination. https://t.co/zD5ef4hsyk
11:14 PM ET
@smsehy
11:14 PM ET@smsehy
@smsehy on X
Training reinforcement learning on cached latent embeddings solves policy training throughput. The critical step for automotive manufacturing remains hard reliability optimization to eliminate rare edge-case failures during high-speed assembly. https://t.co/JZJfqC0HNe
11:12 PM ET
@smsehy
11:12 PM ET@smsehy
@smsehy on X
Crowdsourcing simulation trajectories solves high-level spatial exploration, but closing the sim-to-real gap on the plant floor requires high-rate force-torque sensor telemetry and ground-truth material compliance data. https://t.co/JPGACFLgOj
11:12 PM ET
@smsehy
11:12 PM ET@smsehy
@smsehy on X
Prototyping robotic kinematics is accessible for small engineering teams, but foundation models and custom edge silicon create massive capital consolidation. A few platforms will own the physical AI operating stack while hardware makers assemble standard mechanical frames. https://t.co/BGdI5joTD9
11:11 PM ET
@smsehy
11:11 PM ET@smsehy
@smsehy on X
Securing massive GPU clusters proves that physical AI is adopting frontier model training economics. The ultimate pacing item remains converting those model outputs into deterministic, safety-certified motor commands that operate reliably in active industrial cells. https://t.co/2eqrO2XgcF
11:11 PM ET
@smsehy
11:11 PM ET@smsehy
@smsehy on X
Crowdsourcing simulated trajectories accelerates high-level spatial priors. The engineering hurdle remains capturing high-frequency joint torque and tactile force vectors that cannot be generated without physical hardware interactions. https://t.co/PE1D6RrpiI
11:11 PM ET
@smsehy
11:11 PM ET@smsehy
@smsehy on X
Simulating visual environments generates kinematic diversity quickly. The persistent physical wall remains non-rigid contact mechanics and micro-slip telemetry, where synthetic physics engines diverge from actual plant floor tooling. https://t.co/XodF4KsgqV
11:10 PM ET
@smsehy
11:10 PM ET@smsehy
@smsehy on X
Neural policies plan trajectories, but classical feedback control is what prevents high-inertia industrial arms from oscillating when handling dynamic loads. Eliminating classical PID loops on factory equipment introduces kinetic hazards that no safety certifier will approve. https://t.co/vrEJAS0A5Z
11:10 PM ET
@smsehy
11:10 PM ET@smsehy
@smsehy on X
255 million vehicles and global manufacturing plants already generate the physical sensor telemetry that foundation models need to learn real-world physics. Digital AI scales in datacenters, but physical AI requires industrial plants that understand ten-year hardware duty cycles. https://t.co/agvaM0yiMT
11:10 PM ET
@smsehy
11:10 PM ET@smsehy
@smsehy on X
The hand and forearm expose the real physical limits of miniature motor winding, high-ratio planetary gearing, and thermal dissipation inside a 25mm joint envelope. Volume manufacturing only works when those electromechanical modules survive millions of continuous cycles without manual shimming.
11:09 PM ET
@Biti8888
11:09 PM ET@Biti8888
@Biti8888 on X
The robot data gold rush is already happening in China. More than 90 robot gyms are launching, with 100+ robots in each center. Because the biggest bottleneck in humanoid robotics may no longer be building the robot. It’s teaching it how to work in the real world. Robots need enormous amounts of data, and an entire industry is now emerging to collect it. The gold rush isn’t just for robots. It’s for the data that will make them useful.
11:04 PM ET
Agility
11:04 PM ETAgility
@CapitalSqueez on X
$CCXI Jeff Bezos just followed Chris Paxton. Paxton is one of the sharpest minds in embodied AI — currently at Agility Robotics (Digit), previously Meta and NVIDIA. He lives and breathes the hard problems: sim-to-real, faster-than-demo execution, generalist robot policies, force-aware manipulation. This isn’t a random follow. Amazon already invested in Agility and ran Digit pilots in its warehouses. @agilityrobotics @HumanoidInvest @slinkyhammer @SCSQ2022 @valueInIdeas @chris_j_paxton
10:47 PM ET
@stretchcloud
10:47 PM ET@stretchcloud
@stretchcloud on X
The 30-50x cost difference between computer use and MCP keeps rattling around in my head. The framing that clicks for me: computer use is paying for a human-in-the-loop at model prices. Every screen interaction generates a screenshot, feeds it through vision, waits for coordinate output, executes the click, takes another screenshot. You are spending tokens on what amounts to OCR and cursor navigation, round after round. MCP replaces that entire loop with a typed function call. No screenshots. No vision pass. No coordinate uncertainty. The model calls a tool, the tool returns structured data,…
10:27 PM ET
@stretchcloud
10:27 PM ET@stretchcloud
@stretchcloud on X
The thing I keep noticing across agentic frameworks in 2026: resumability is now the reliability primitive everyone is building toward. Genkit Go 1.13 ships it properly. A Generate call that fails at tool round five returns what it finished alongside the error. You pass resp.History() back in, only the failed step reruns. No wasted tool calls. No redone work. The same logic extends to full agent sessions. A failed or cancelled turn saves completed rounds as a snapshot. Send an empty input, it picks up from there. This matters for production. Most AI agent failures today are partial. The agent…
10:19 PM ET
AGAgibot
10:19 PM ETAGAgibot
@techniahqrobot on X
A big win for the robotics community AGIBOT just open sourced one of its most valuable real world datasets yet. @AGIBOTofficial has open-sourced AGIBOT WORLD 2026 Theme 3, a real-world dataset designed for reinforcement learning and embodied AI. The release contains 11,430 real-world robot trajectories across 14 industrial and household tasks. That includes • 1,024 successful policy rollouts • 1,369 failed policy rollouts • human in the loop corrections • external disturbances • task progress annotations • error-state annotations • human intervention data Most robot learning datasets focus…
10:14 PM ET
OPOpenAI
10:14 PM ETOPOpenAI
@DrJimFan on X
Good old days at OpenAI in 2016: an agent stares at screen pixels, moves a mouse, and books a flight on United. We called it World of Bits, inside OpenAI Universe. 10 yrs later, Astra is reincarnated in the same universe. Even the naming is astronomically correct 😆 Universe was perhaps the most ambitious AI infra project at the time, but we couldn't quite figure out how to solve it. A policy with zero prior knowledge of what a "submit" button does has to rediscover the entire internet visual lingua by trial and error. In retrospect, RL from scratch against hand-drawn, per-task "artisan"…
10:00 PM ET
@Scobleizer
10:00 PM ET@Scobleizer
@Scobleizer on X
Ray Kurzweil is snorting nano particles. OK, not quite yet. Just joined a brain computer startup that will make them. https://t.co/xS02EHFgWm
8:08 PM ET
STStretch
8:08 PM ETSTStretch
@stretchcloud on X
The harness problem is getting its own framework category. Tardigrade ships today: an agent harness built as typed state machine components over an immutable event log. The framing is React for harness. Each component knows its previous states. The whole harness is a pure function of the log. I keep seeing teams reach this conclusion from two directions. One: they try to build a stateful agent loop and hit the problem of debugging mid-run failures, resuming interrupted sessions, and auditing what the agent actually did and when. Two: they want to add AI behavior to existing Effect/functional…
7:37 PM ET
TETechniahq
7:37 PM ETTETechniahq
@techniahqrobot on X
This might be the most human humanoid robot clip you’ll see today. Credit @大懒虫机器人 https://t.co/03VyvzVVKR https://t.co/1EImQw1BkJ
7:15 PM ET
Apptronik
7:15 PM ETApptronik
@Apptronik on X
Congratulations to our CEO and co-founder, Jeff Cardenas, for being named one of Austin Business Journal’s 2026 Power Players! 👏🦾 We believe Austin is the perfect place to build the future of humanoid robotics. Jeff’s vision has helped put the city at the center of the physical AI revolution. We’re proud to see him recognized alongside leaders shaping the future of Texas innovation and their industries. Check out the full 2026 @MyABJ Power Player list here: https://t.co/QOsuG4Csq2 #humanoids #apptronik #robotics #austin
7:15 PM ET
Apptronik
7:15 PM ETApptronik
@Apptronik on X
Congratulations to our CEO and co-founder, Jeff Cardenas, for being named one of Austin Business Journal’s 2026 Power Players! 👏🦾 We believe Austin is the perfect place to build the future of humanoid robotics. Jeff’s vision has helped put the city at the center of the physical AI revolution. We’re proud to see him recognized alongside leaders shaping the future of Texas innovation and their industries. Check out the full 2026 @MyABJ Power Player list here: https://t.co/QOsuG4Csq2 #humanoids #apptronik #robots #austin
7:14 PM ET
Apptronik
7:14 PM ETApptronik
@Apptronik on X
Congratulations to our CEO and co-founder, Jeff Cardenas, for being named one of Austin Business Journal’s 2026 Power Players! 👏🦾 We believe Austin is the perfect place to build the future of humanoid robotics. Jeff’s vision has helped put the city at the center of the physical AI revolution. We’re proud to see him recognized alongside leaders shaping the future of Texas innovation and their industries. Check out the full 2026 @MyABJ Power Player list here: https://t.co/QOsuG4Csq2
6:02 PM ET
SASanctuary AI
6:02 PM ETSASanctuary AI
@TheSanctuaryAI on X
Curious how robots manipulate objects they can’t fully see? Sanctuary AI Co-Founder & Chief Engineering & Operations Officer Olivia Norton explains why touch and force feedback are critical for dexterous manipulation, especially when objects are occluded or outside a robot’s field of view. Learn more about our commercial Physical AI solutions at https://t.co/nHFy5w5pQW Recorded at the Humanoid Robot Forum during Automate 2026. #PhysicalAI #Robotics #Dexterity #Automation #AI #SanctuaryAI
5:42 PM ET
OPOpenAI
5:42 PM ETOPOpenAI
@rimtoln on X
GPT-6 ASTRA ISN'T A PATCH. IT'S A GENERATION FLIP. openai just shipped the model they call a generational leap past gpt-5.6 sol not better chat better computer use · coding · cyber · science ▹ why this is the breakthrough first openai model at Critical cyber threshold agent stacks that actually drive the machine browser · forms · repos · multi-step work enterprise-first rollout · daybreak defenders first ▹ the scoreboard (vendor table) frontiermath t4 · astra 97.6 · fable 5.1 87.8 sol was 83.0 · that's a real cliff terminal-bench science · 64.6 vs fable 52.6 automationbench · 41.4 vs 31.4…
5:34 PM ET
@deepakpathak
5:34 PM ET@deepakpathak
@deepakpathak on X
You don't have to post-train ChatGPT on every user. If you did, it would never have taken off. Yet this is exactly how robotics works today For robots to take off, they need to learn in-context. Great article from @Chris_J_Paxton on this new paradigm and S1's place in it: https://t.co/Kt4DTK3n2A https://t.co/as45gL0y8C
5:28 PM ET
Nvidia
$NVDA
5:28 PM ETNvidia
@NVIDIARobotics on X
Excited to see @fieldai_ and Caterpillar advance physical AI across heavy industry. A step forward for bringing autonomous robots into real-world environments. 👏 https://t.co/96533YilzZ
5:27 PM ET
TMThinking Machines Lab
5:27 PM ETTMThinking Machines Lab
@stretchcloud on X
The AI lab valuation compression is happening.Thinking Machines Lab is in talks to raise $1 billion at a $40 billion pre-money valuation, according to The Information. That's down from $50 billion they explored late last year. Mira Murati founded the lab after leaving OpenAI. They've released one model: Inkling, in July 2026.The compression signal matters. Twelve months ago, a fresh frontier lab started by someone who ran OpenAI could reasonably command $50B+ on pre-product. The market is repricing. What changed: GPT-6 Astra launched today and saturated most existing benchmarks. xAI sits at…
4:27 PM ET
OPOpenAI
4:27 PM ETOPOpenAI
@techniahqrobot on X
GPT-6 Astra is here, and it might be one of the most important AI releases yet. OpenAI says the model hits 98% on FrontierMath Tier 4, 99.9% on ARC-AGI 3 and a perfect 100% on ExploitBench. It also shows big improvements in computer use, science, coding, cybersecurity and professional work. What’s really interesting for humanoid robotics is what happens when this kind of stronger reasoning gets closer to the physical world. A humanoid needs way more than just good locomotion. It has to understand instructions, make sense of cameras and sensors, plan long sequences of actions, recover when…
3:53 PM ET
XHX-Humanoid
3:53 PM ETXHX-Humanoid
@techniahqrobot on X
Meet Tiangong 3.0, the full-size humanoid from Beijing’s X-Humanoid. It stands 1.69 m tall, weighs 62 kg and has 43 degrees of freedom. Its high torque joints are built for explosive whole-body motion, and Beijing sources specifically list side flips among the movements Tiangong 3.0 can perform. Watch the landing closely. It launches, rotates its entire body in the air, catches the ground with both feet and immediately recovers its balance. That requires serious coordination across the hips, knees, ankles and torso. X-Humanoid says Tiangong 3.0 was designed for high-dynamic whole-body…
3:30 PM ET
@SemiAnalysis_
3:30 PM ET@SemiAnalysis_
@SemiAnalysis_ on X
Shoutout to the cracked team at @vllm_project that implemented recent agentic workload optimizations. (1/5)🧵 https://t.co/BsXCtLBwvU
3:24 PM ET
Nvidia
$NVDA
3:24 PM ETNvidia
@NVIDIARobotics on X
Can AI and safety work hand in hand in industrial environments? Our VP of Industry Safety, Riccardo Mariani, joins Robert Weber and Peter Seeberg on the Industrial AI Podcast to discuss safety frameworks for physical AI, simulation and the future of industrial AI. Listen 🎧 https://t.co/SnOAYIcyfa
3:03 PM ET
ASAstribot
3:03 PM ETASAstribot
@XRoboHub on X
Robots can’t stop while the model thinks. In a high-speed throw, even one pause can kill the momentum. Astribot released SmoothRL for online RL during async inference. S1 keeps moving as the model computes the next action chunk. Most actions in a chunk never execute. Train on the full chunk, and RL credits or blames moves that never happened. SmoothRL learns only from executed actions, matching real deployment timing. After 250 rollouts, tossing jumped 39%→94%, pen capping 8%→83%, and box opening 30%→90%. One autonomous toss cut acceleration RMS by 52% and jerk RMS by 47%. The model keeps…
2:58 PM ET
AGAgibot
2:58 PM ETAGAgibot
@spaceandtech_ on X
AGIBOT has officially open-sourced AGIBOT WORLD 2026 Theme 3: Reinforcement Learning, a real-world embodied AI dataset collected across expert demonstrations, autonomous policy rollouts, and human-in-the-loop corrections. It includes 11,430 real-world trajectories across 14 industrial and household tasks, capturing both successful and failed policy rollouts, along with detailed annotations for task progress, errors, disturbances, and human interventions. By learning from successes, failures, risks, and human corrections, robots can learn not only how to do it, but how to do it better.…
2:49 PM ET
Tesla
$TSLA
2:49 PM ETTesla
@elonmusk on X
Cybercab is basically a super comfortable lounge on wheels with a great TV and epic sound https://t.co/X1aWKoJdJV
2:45 PM ET
Tesla
$TSLA
2:45 PM ETTesla
@elonmusk on X
Cybercabs have no steering wheels or pedals. They are designed and built for maximally efficient autonomous operation. https://t.co/IClKVxpb7C
2:37 PM ET
Nvidia
$NVDA
2:37 PM ETNvidia
@NVIDIARobotics on X
🤖💚 https://t.co/AjKvGIEtjj
2:21 PM ET
@binarybits
2:21 PM ET@binarybits
@binarybits on X
This is a great illustration of why training robots manipulation tasks in simulation (middle clip) doesn't work very well. From Kai's excellent new piece on robot data. https://t.co/2ysIIvThKK https://t.co/VJDbshw5NR
2:12 PM ET
Tesla
$TSLA
2:12 PM ETTesla
@SawyerMerritt on X
Cybercab interior tour with @wholemars. https://t.co/06iKekv8bt
2:07 PM ET
MUMunari
2:07 PM ETMUMunari
@frontrunvc on X
EARLY: @munariai - 6 followers (Robotics) Munari just launched. Operator scoring for robot training data. On @frontrunvc, the story started 47 days before the X account went live. jul 16: a tracked account follows @rmn. flagged. aug 11: flagged building. aug 19: website found. no x account yet. aug 30: a16z @speedrun SR007. sep 1: @munariai goes live. sep 4: 17 tracked accounts following the founders. a whole company, before it had a handle. this is timeline. coming soon to every company card on @frontrunvc.
1:48 PM ET
@AppliedInt
1:48 PM ET@AppliedInt
@AppliedInt on X
At this year’s Agentic AI Summit hosted by @BerkeleyRDI, our Chief Scientist, @Wei_ZHAN_ shared some of the cutting edge research he has been leading in the physical AI space. As the industry races to deploy L2++ ADAS with imitation-learning-based E2E, Wei tackled a key question: what if end-to-end autonomy could be trained without imitation at all, relying only on reinforcement learning? An idea that runs against the current status quo. Here are some of his insights 🧵
1:43 PM ET
@rimtoln
1:43 PM ET@rimtoln
@rimtoln on X
EVERYONE SHOWS THE 300-AGENT SWARM. almost nobody shows what happens after 300 agents are easy to spawn turning 300 outputs into one structure is the hard part ▹ the pipeline nobody demos collect → connect → organize → unify one context graph at the end the swarm starts as hundreds of isolated research paths then sources start sharing entities links form · contradictions surface weak claims stay exposed eventually the mess collapses into one structure the whole system can reason over ▹ the reframe that's the part you usually never see the swarm is the demo the graph is the product bookmark…
1:38 PM ET
NRNeura Robotics
1:38 PM ETNRNeura Robotics
@HumanoidsHQ on X
Neura Robotics just took its headless 4NE1 humanoid for a walk through the streets of Zurich. Standing 1.8m tall and weighing 80kg, it can reach speeds of 5 km/h and handle payloads of up to 100 kg. Humanoid robots are getting closer to everyday life. https://t.co/j4ItwJYEV4
1:36 PM ET
CLContinuum Labs
1:36 PM ETCLContinuum Labs
@continuumlabs_ on X
Does every action a robot takes need to be recorded? As robots move into homes, workplaces, and public spaces, having a reliable record of their actions will become increasingly important. When something goes wrong, we may need to know: ✅ Who or what initiated the action ✅ What the robot did ✅ When and where it happened ✅ What permissions it had ✅ Which model or system was running ✅ What the outcome was But recording everything comes with a cost. Cameras, microphones, location data, and behavioral histories can expose sensitive information about the people around these systems. The challenge…
1:32 PM ET
ZIZite
1:32 PM ETZIZite
@stretchcloud on X
The gap between "AI can help you build this" and "AI can actually deploy this for you" just got smaller. Zite released an MCP server that lets Claude, ChatGPT, and Cursor generate fully deployable business applications, not just code files you still have to wire up yourself. The model describes the app, Zite handles the infrastructure and deployment. This is a different category from code generation. Code generation gives you an artifact you own and maintain. Deployment-as-a-tool gives you a running application where the lifecycle management is abstracted away. The distinction matters for the…
1:19 PM ET
ZUZhejiang University
1:19 PM ETZUZhejiang University
@techniahqrobot on X
Zhejiang University just pushed long-horizon robot manipulation forward with HINT. HINT helps Vision-Language-Action models keep track of the human’s original intent across long tasks instead of losing the goal mid-sequence. On dual-arm PiPER robots, HINT raised π0.5 full-task success Fruit sorting 10% → 60% Word spelling 13.3% → 86.7% The system was also tested with unseen objects, layouts and instructions. Persistent intent tracking could become a key layer for reliable VLA systems and long-horizon Embodied AI.
1:18 PM ET
GAGalbot
1:18 PM ETGAGalbot
@GalbotRobotics on X
See you at #IFA2026 🤖 #Galbot #IFA #HumanoidRobot #EmbodiedAI https://t.co/2y6dyZT1Uf
1:00 PM ET
DRDusty Robotics
1:00 PM ETDRDusty Robotics
@ctorobotics on X
Construction plans, printed directly onto the floor. 🤖🏗️ Meet FieldPrinter 2 from Dusty Robotics, an autonomous layout robot designed to turn digital construction models into full-scale markings directly on the jobsite slab. Instead of crews manually measuring and marking layouts, the robot can print walls, MEP penetrations, anchor points, labels, QR codes and other information from coordinated BIM or CAD models. Dusty states the system can achieve 1/16-inch (1.6 mm) layout accuracy. A simple robot solving a very real construction problem. Could robots like this become standard equipment on…
12:53 PM ET
Agility
12:53 PM ETAgility
@agilityrobotics on X
The flashy demos were never the hard part; real, repeatable work on a real floor is. That's the problem worth solving, and the one we picked. Thank you, @chi_t_williams. https://t.co/CoKsSRg4ma
12:50 PM ET
Figure
12:50 PM ETFigure
@adcock_brett on X
Humanoid robots are the ultimate deployment vector for AGI Figure will soon have unprecedented data and compute. We’re hiring so come join us https://t.co/cUP0zQCjg1
12:36 PM ET
Nvidia
$NVDA
12:36 PM ETNvidia
@tchsignal on X
Nvidia’s $12.9B Hugging Face Deal Raises a Bigger Question About Open AI Nvidia has agreed to acquire Hugging Face in a deal valued at about $12.93 billion, but the transaction has not closed yet. It is expected to complete in the first half of 2027, subject to regulatory approvals and other closing conditions. The bigger issue is what Nvidia ownership could mean for an AI platform used by more than 18 million developers, researchers and creators, with over 3 million models, 500,000 datasets and 1 million applications. Nvidia says Hugging Face will remain an open platform. Developers will not…
12:36 PM ET
@chris_j_paxton
12:36 PM ET@chris_j_paxton
@chris_j_paxton on X
Love to see cheap robots coming out more and more https://t.co/r06CxPWNws
12:36 PM ET
AGAgibot
12:36 PM ETAGAgibot
@Biti8888 on X
AGIBOT just open-sourced a new real-world dataset for embodied AI. @AGIBOTofficial AGIBOT WORLD 2026 Theme 3 focuses on something robots need just as much as successful demonstrations: failure and correction. The dataset includes 14 real-world tasks, 11,430 trajectories, detailed annotations of mistakes and interference, plus human-in-the-loop correction trajectories. Robots don’t improve by only seeing perfect executions. They need to learn what went wrong, how humans corrected it, and how to do better next time. https://t.co/41jAfUJ9HH
12:10 PM ET
FAFanuc America
12:10 PM ETFAFanuc America
@FANUCAmerica on X
FANUC America Brings #Robotics, #Automation, #PhysicalAI and #CNC Innovation to #IMTS2026🤖🌐⚙️ 📍 South Hall - Booth 338900 📆 September 14th - 19th | Chicago, IL 🔗 https://t.co/uncf1a0MEz @IMTSchicago @AMTonline https://t.co/DUZwG2Gjun
12:06 PM ET
Nvidia
$NVDA
12:06 PM ETNvidia
@TheHumanoidHub on X
Nvidia is now a humanoid robot designer. That's the real takeaway from this news. Nvidia is acquiring Hugging Face for $12.93B. Hugging Face is the largest open-model and dataset hub, the "GitHub of AI," with 3M+ models and 18M+ developers, robotics included. But here's the interesting part: Hugging Face has a serious robotics team from its acquisition of Pollen Robotics, which designs and builds open-source hardware platforms for robots, including humanoids (Reachy). Pollen team now gets the backing of the world's most valuable company. $NVDA
11:54 AM ET
Tesla
$TSLA
11:54 AM ETTesla
@Newsforce on X
The same activist network behind “No Kings” and other major protests is now mobilizing against data center construction and Flock license plate surveillance cameras, according to a Fox News Digital investigation and a new report. The report says organizations linked to the network have appeared across protests targeting Trump, Elon Musk, Tesla, Israel and ICE, with overlapping groups now turning their focus toward technology infrastructure and surveillance. It also highlights organizations funded by Neville Roy Singham, a Shanghai based tech billionaire whose nonprofit and media network has…
11:54 AM ET
@elonmusk
11:54 AM ET@elonmusk
@elonmusk on X
Humans writing code as seen by future AI https://t.co/WqmYxAvKGx
11:31 AM ET
Figure
11:31 AM ETFigure
@VaderResearch on X
Robotic intelligence is following the LLM playbook. First came scaling laws. Then in-context learning. Now, massive compute. Figure just signed a $3.5B deal with Nscale. https://t.co/t3urkZULIi
11:31 AM ET
Figure
11:31 AM ETFigure
@humanoidsdaily on X
Figure is making one of the largest infrastructure bets in physical AI to date. The company is partnering with Nscale to deploy up to 100,000 GPUs on NVIDIA's next-gen Vera Rubin platform—starting with a $3.5B compute commitment and plans to scale past $6B. Here’s why it matters 🧵👇 https://t.co/T3vkcqLwUh
10:45 AM ET
NVIDIA
$NVDA
10:45 AM ETNVIDIA
@stretchcloud on X
$12.9B is not a model acquisition. It is a distribution acquisition.NVIDIA just locked in the largest AI developer community on the planet: 18M developers, 3M models, 500K datasets, 1M apps. Jensen's team is not buying Hugging Face for what it does today. They are buying the channel through which every future model will move.Hardware companies do not buy software companies to improve their margins. They do it to eliminate the surface area where the next bottleneck forms. This is the same logic behind Intel buying McAfee and Qualcomm buying NXP. Except the AI compute market is growing faster…
9:10 AM ET
Nvidia
$NVDA
9:10 AM ETNvidia
@CKCapitalxx on X
$NVDA just officially agreed to acquire Hugging Face for $12.93 billion. Hugging Face is where open source AI lives. Over 18 million developers, 3 million models, 500,000 datasets, and 200,000 companies using it to discover, test and deploy AI. Every open weight release lands there first. The detail most people will miss is that Nvidia was already the largest contributor to the platform. Over 500 models and 250 open datasets released there. They've been building inside this ecosystem for years, and now they own it. Here's what it opens up. >Distribution. Nvidia owns the compute. Hugging Face…
8:46 AM ET
@smsehy
8:46 AM ET@smsehy
@smsehy on X
An autonomous vehicle generates 1 to 2 TB of sensor data per hour. Streaming that to the cloud for inference costs more than the compute hardware in the vehicle. The economics of edge AI in automotive were settled before the debate started.
8:33 AM ET
CLCJ Logistics
8:33 AM ETCLCJ Logistics
@humanoidsdaily on X
South Korea’s CJ Logistics has officially moved from the lab to live operations, deploying two @ROBOTIS "AI Worker" semi-humanoids onto active fulfillment lines at its Yangji Olive Young hub. Equipped with 7-DOF dual arms and a swerve-drive base, the robots are handling deformable void-fill packing alongside human workers—funneling live operational data directly into CJ’s Physical AI Robot Foundation Model (RFM). Read the full breakdown👇 https://t.co/tBWQ8A5pm3
8:28 AM ET
Nvidia
$NVDA
8:28 AM ETNvidia
@Biti8888 on X
🚨 BREAKING: @nvidia has officially confirmed the acquisition of @huggingface Jensen Huang said open models strengthen safety and cybersecurity, accelerate innovation, and let every developer, startup, and country build AI on their own terms. He thanked Hugging Face CEO @ClementDelangue for the trust - NVIDIA will be a great home for the platform and its community. 🤗 Deal size: ~$11.9B, closing expected in 2027. PS picture is not real😁
8:22 AM ET
NVIDIA
$NVDA
8:22 AM ETNVIDIA
@techniahqrobot on X
People saw the NVIDIA and Hugging Face acquisition news and immediately focused on foundation models, GPUs and the broader AI industry. But one of the biggest consequences could be in Physical AI and humanoid robotics. NVIDIA already controls a major part of the robotics stack with GR00T, Cosmos, Isaac Sim, Isaac Lab, Jetson Thor, CUDA and TensorRT. Hugging Face adds another critical layer with LeRobot, open robotics datasets, pretrained policies, VLA tooling, model distribution and Pollen Robotics with Reachy 2. Bring those pieces closer together and the robotics workflow becomes much more…
8:01 AM ET
XSXSquareRobot
8:01 AM ETXSXSquareRobot
@Biti8888 on X
The biggest bottleneck in dexterous robotics may not be the robot. It may be the data. @XSquareRobot’s TwinDEX is built around one idea: if you introduce errors during data collection, scaling the dataset won’t magically fix them later. That’s why TwinDEX matches the wearable collection device and robot hand across kinematics, contact surfaces, sensors and visual appearance. Human fingertips → wearable exoskeleton → robot fingertips. The result is high-fidelity robot-free data that can replace on-robot teleoperation for complex dexterous tasks. And with more than 5x higher collection…
7:10 AM ET
@seeedstudio
7:10 AM ET@seeedstudio
@seeedstudio on X
Physical AI Project of August | Creativity Award 🏆 Congrats to our community member, Fangtian Chonghui! No controller. No wearable device. Just bare hands controlling two reBot #opensource #robotic arms synchronously to fold a T-shirt. Fangtian will receive an AmazingHand 🤚 for this creative project. Building with reBot Arm or SO-ARM? Join the September #PhysicalAI Project of the Month and share what you’ve built! 👉 https://t.co/cUvrNMaCG9
6:42 AM ET
HRHorizon Robotics
6:42 AM ETHRHorizon Robotics
@tphuang on X
Horizon Robotics has hit 15m in chip delivery. It has a 31.94% mkt share in China's auto ADA chip mkt in the 1st 6 months of the yr. Its J6M chip recently started fielding on various models as the 128 TOPS is enough for most HNOA config. 40+ brands use Horizon chips & 8m+ drivers
5:19 AM ET
ANAnthropic
5:19 AM ETANAnthropic
@tchsignal on X
Claude Cybersecurity Tests Exposed a Two-Layer AI Safety Problem Anthropic found three incidents in which Claude models, while running cybersecurity evaluations, reached real production systems instead of remaining inside the intended simulated environment. The first failure was operational. Claude had been told there was no Internet access, but a misunderstanding between Anthropic and evaluation partner Irregular left a real network path available. Across 141,006 reviewed evaluation runs, Anthropic identified six runs tied to three incidents affecting three organizations. The second issue is…
5:17 AM ET
@smsehy
5:17 AM ET@smsehy
@smsehy on X
Writing a custom robotics runtime in Rust eliminates garbage collection latency spikes on the factory floor, but maintaining sub-millimeter trajectory repeatability across varying ambient thermal conditions remains the core challenge in production welding. https://t.co/q21icpHIJu
5:15 AM ET
SPSpaceXAI
5:15 AM ETSPSpaceXAI
@Newsforce on X
A new LatchBio report found @SpaceXAI ’s @Grok 4.6 is now the top-performing AI model in biosecurity safety testing, refusing disguised requests for dangerous biological research while still answering legitimate scientific questions. Unlike other models, Grok’s safeguards rely on its own reasoning rather than external filters, allowing it to spot tactics such as mislabeled viral sequences, anonymized files, and harmless-sounding cover stories hiding harmful intent. It also scored near the top on other biology benchmarks, suggesting its stronger safety measures don’t come at the cost of…
5:13 AM ET
Figure
5:13 AM ETFigure
@Biti8888 on X
Figure and Hark are run by him simultaneously - meaning one person is literally steering two multi-billion-dollar companies in parallel, not even counting his role at Cover. That’s three companies, three billion-dollar valuations, one person at the helm of all of them at once. What’s especially striking is Index’s progress: the platform spent four months in stealth mode and has already racked up 16 million uploaded videos from 108 countries, paying out $15M to users for their content. The logic is simple: language models trained on internet text, but robots have nowhere to pull the physical…
5:10 AM ET
@smsehy
5:10 AM ET@smsehy
@smsehy on X
Tightly coupling custom ARM CPUs with next-generation accelerators through high-bandwidth coherent interconnects eliminates memory transfer bottlenecks in complex agentic planning and physical AI simulation loops. https://t.co/Z06yKckTSQ
5:07 AM ET
@smsehy
5:07 AM ET@smsehy
@smsehy on X
Deploying general-purpose robots into demanding factory plants requires tight integration between high-level reasoning models and ruggedized, fanless edge controllers certified for industrial temperature and vibration ranges. https://t.co/BFNDhbe2Aw
5:07 AM ET
@smsehy
5:07 AM ET@smsehy
@smsehy on X
Video-to-3D simulation solves visual scene reconstruction in minutes. Bridging that into physical robotic manipulation requires grounding the synthetic physics engine in actual contact mechanics and tactile friction data. https://t.co/GVhaPrrcwQ
5:05 AM ET
@smsehy
5:05 AM ET@smsehy
@smsehy on X
Co-locating autonomy model training on shared cluster infrastructure proves that vehicle perception pipelines directly subsidize humanoid physical AI. The hardware challenge remains sourcing precision joint reducers at automotive scale. https://t.co/44ISDAYUJ4
5:05 AM ET
@smsehy
5:05 AM ET@smsehy
@smsehy on X
Heavy equipment autonomy shifts the validation barrier from structured highways to unmapped terrain, extreme dust ingress, and continuous 50G shock loads. Ruggedizing edge compute and sensor cleaning systems is where physical AI gets tested. https://t.co/SlLhPtTdT6
5:00 AM ET
@smsehy
5:00 AM ET@smsehy
@smsehy on X
Managing private AI infrastructure requires treating data ingestion and model deployment like an industrial assembly line, where continuous telemetry monitoring and automated evaluation prevent silent production drift. https://t.co/jYGgdyTGUf
5:00 AM ET
@smsehy
5:00 AM ET@smsehy
@smsehy on X
Open-source automotive software initiatives like Eclipse SDV reduce redundant engineering spend across non-differentiating middleware layers, allowing OEMs to focus engineering resources on custom physical AI applications. https://t.co/WO3JOVTKo6
5:00 AM ET
@smsehy
5:00 AM ET@smsehy
@smsehy on X
Co-packaged optics and silicon photonics solve the physical thermal wall of high-speed copper interconnects, enabling low-latency data movement across massive distributed compute clusters without unsustainable electrical line losses. https://t.co/t5ZEAYO25J
4:57 AM ET
@smsehy
4:57 AM ET@smsehy
@smsehy on X
Shifting from round wafers to large rectangular panels maximizes substrate utilization for multi-die AI packages, but controlling substrate warpage and dielectric layer uniformity during thermal curing remains the core manufacturing hurdle. https://t.co/4HBjacchOA
4:15 AM ET
@OperationsPLS
4:15 AM ET@OperationsPLS
@OperationsPLS on X
The control question gets harder as AI moves from digital to physical. In robotics, control is not just governance — it is real-time safety architecture. Graceful degradation and audit trails become ops requirements. https://t.co/s8rgTI0Ist
4:14 AM ET
@OperationsPLS
4:14 AM ET@OperationsPLS
@OperationsPLS on X
Edge AI + Physical AI is the architecture shift. Moving inference to the robot eliminates cloud latency — critical for real-time manipulation and safety. HBM5 at the edge means robots think at the point of action. https://t.co/Z8PWXWTWjM
4:13 AM ET
@OperationsPLS
4:13 AM ET@OperationsPLS
@OperationsPLS on X
Agriculture mechanization took 80 years. Robotics + AI compresses that to a decade. Workflow redesign, not just headcount math, is the ops challenge. Transition speed is the variable nobody models. https://t.co/D9zBiDcyNI
4:13 AM ET
@OperationsPLS
4:13 AM ET@OperationsPLS
@OperationsPLS on X
Reshoring + robotics is a compounding equation. Labor cost parity via automation removes the offshore arbitrage. The real unlock is data sovereignty: domestic robot fleets generate operational data that compounds into moats. https://t.co/SPAMHZXiJF
4:00 AM ET
OPOpenAI
4:00 AM ETOPOpenAI
@tchsignal on X
US Government Backs OpenAI's Fair Use Argument for AI Training The U.S. government has entered a major copyright fight over AI training, backing OpenAI's argument that using copyrighted written works to train large language models can qualify as fair use. In a 20-page Statement of Interest filed in federal court, the Justice Department argues that training serves a different purpose from the original works: models analyze text to learn statistical patterns such as vocabulary, syntax and relationships rather than simply distributing copies to the public. The government's position goes beyond…
3:47 AM ET
@stretchcloud
3:47 AM ET@stretchcloud
@stretchcloud on X
Background computer use is the feature that makes agents genuinely ambient. The agent runs while you work on something else. It clicks, types, opens apps. No babysitting. The next bottleneck is where agent clicks land: websites. Agents doing commerce, research, monitoring, or data work are spending a significant share of their compute just loading, re-reading, and re-extracting from pages they have already visited. The cost pattern I keep seeing: LLM extraction layers that call the model on every page visit. No memory of the selector. No self-healing when the site changes. The model reads the…
2:47 AM ET
Meta
2:47 AM ETMeta
@stretchcloud on X
The model that matters for agentic software is not the best at chat. It is the one that completes a 4-hour task without losing the thread. Meta released Muse Spark 1.3 yesterday. The benchmark that got my attention is not the headline one. It is DeepSWE v1.1: 75.4, ahead of Opus 5 at 74.0 and GPT-5.6 Sol at 73.0. That is the first time an open model has led that table. DeepSWE measures real code fixes on GitHub issues. Terminal-Bench 2.1 measures sustained work in a shell across long tasks. Muse Spark 1.3 ties GPT-5.6 Sol at 88.8 on Terminal-Bench, above Opus 5's 86.7. Both favor models that…
1:00 AM ET
@ctorobotics
1:00 AM ET@ctorobotics
@ctorobotics on X
Push a humanoid robot… and it pushes back? 🤖🥊 A viral video from a technology store in Russia shows a customer pushing a humanoid robot moments later, the robot appears to move toward him and swing its leg. The robot has been identified as Syoma, a humanoid service robot reportedly used at the store. However, it is still unclear whether the movement was an intentional response, a programmed behavior, a balance reaction, or remote control. Would you still push a robot after seeing this? 👀 🎥 Media: volgastore64 ( Instagram ) ⚠️ This content is shared for informational purposes only. CTO…
11:54 PM ET
FAFable
11:54 PM ETFAFable
@stretchcloud on X
The model that finds the most bugs does not find all the bugs. Bug Hunt Bench: 2 real repos, 105 hidden bugs, all tests green. Fable 5.1 leads at 43/105. GPT-5.6 is one behind at 42. But the number that matters most: 43 bugs have not been fixed by any single model. The union of all models covers 62 out of 105. That means 62/105 bugs are findable, but no single agent will find all of them. Each model catches bugs the others miss. The pattern I keep noticing on multi-model benchmarks is that the top model does not return a superset of what the others find. It returns a different distribution.…
11:34 PM ET
@stretchcloud
11:34 PM ET@stretchcloud
@stretchcloud on X
Standard coding benchmarks are saturating. The interesting separation is happening on autoresearch. Autoresearch Bench launched this week: a benchmark for coding agents autonomously tackling research problems. Not completing a spec, but identifying what to build, searching across literature and codebases, forming hypotheses, running experiments, synthesizing results. My read is this is the correct next benchmark. The top models have converged close enough on short-task evaluations that leaderboard position no longer predicts production outcomes reliably. Where the gap stays stark is in tasks…
10:34 PM ET
FAFable
10:34 PM ETFAFable
@stretchcloud on X
The benchmark gap that keeps surprising me: on standard coding benchmarks, the top models cluster. On ultra-long horizon coding, the gap blows open. Proximal released FrontierSWE v2 today. 34 real software engineering tasks, evaluated over hours with tool use and complex dependencies. Fable 5.1 scores 56.3%. GPT-5.6 scores 32.25%. That is a 24-point gap. Nothing on the standard leaderboards looks like this. The cost picture is equally interesting. GPT-5.6 costs more per run ($175 vs $138 for Fable 5.1) at roughly half the score. DeepSeek V4 Flash is cheapest at $8.57 but plateaus at 14.05%.…
10:14 PM ET
@stretchcloud
10:14 PM ET@stretchcloud
@stretchcloud on X
Sodium v2 introduces a WebMCP layer. Any website can now serve structured data directly to an AI agent without HTML scraping. This is AEO (Agent Engine Optimization) in practice. The web is starting to build for agents, not just browsers. I built DeepScrape to handle exactly this: giving agents reliable, structured access to web data at inference time. https://t.co/JZYTWY8roq https://t.co/oUD6R0G9j7
9:54 PM ET
Meta
9:54 PM ETMeta
@stretchcloud on X
Meta released Muse Spark 1.3 today. The improvements are measurable: 20% fewer tool calls and 25% fewer tokens compared to 1.2. Fewer tool calls is the right metric to optimize. Each round-trip adds latency and cost in an agentic loop. Reducing them is harder than reducing token count. This is the efficiency curve everyone building on top of these models should track. https://t.co/zSkyzwUonB
9:11 PM ET
Unitree
9:11 PM ETUnitree
@techniahqrobot on X
RoboGesture gives Unitree G1 something humanoids usually lack body language that moves with speech in real time. The ECCV 2026 system streams audio into a diffusion-based motion generator, then uses an MPC safety filter that adds just 5.6 ms per frame. The team reports collision rates as low as 0.13% and demonstrates the system on a real G1 with BrainCo hands. Still a controlled research setup, but an interesting direction. Could natural body language become as important as manipulation for service humanoids?
9:00 PM ET
NVIDIA
$NVDA
9:00 PM ETNVIDIA
@SemiAnalysis_ on X
NVIDIA Research 🚀 has produced some great research, like LatentMoE (used in Kimi K3) and GatedDeltaNets (used in Qwen). But for e2e frontier training, NVIDIA's bureaucratic culture has produced embarrassing models like Nemotron3 Ultra. Despite NVIDIA Research having amazing talent, Nemotron3 Ultra, with 550B total params (55B active), is getting mogged by all the Chinese models, including even Qwen3.8 27B parameters, which has ~20x fewer parameters.
8:46 PM ET
@Scobleizer
8:46 PM ET@Scobleizer
@Scobleizer on X
For a while I was depressed about VR. There are so many pioneers who have gone sour on VR/AR. That depression lifted this morning. The future is so amazing. And I am seeing this in many companies from robotics to space to VR/AR. And this is before he got AI hooked up. Which is why VR will come back. The models will make the magic in our own homes. The future is so insane. Parts arrive next year. You are seeing pre-quakes now.
8:14 PM ET
MIMiniMax
8:14 PM ETMIMiniMax
@stretchcloud on X
The pattern in AI inference is consistent: the fast-and-cheap version of a frontier model ships 2-4 weeks after the frontier version. H3 Max Turbo confirms this for video generation.H3 Max launched on August 26 at $0.08 per second of 768p output. H3 Max Turbo launches today at $0.01 per second, runs at 2x the speed, and hits the 97th percentile of H3 Max quality on evals. Seven days to a 50% cost reduction and 2x throughput improvement.The mechanism matters: fal built a separate inference engine specifically around MiniMax's H3 open-weights model architecture. They're not running H3 Max…
7:53 PM ET
@ruima
7:53 PM ET@ruima
@ruima on X
Well, this news really is dividing people. Some see this as evidence that AI has so much room to grow, especially as it expands beyond coding as a use case, since apparently this top 1% are other tech companies. Others see it as evidence that there is not enough economic value outside of tech. Very interesting. I definitely think the bullish viewpoint could be true, but this could still represent a huge concentration risk for these two companies in particular if people move to more open models
6:28 PM ET
@ruima
6:28 PM ET@ruima
@ruima on X
One underappreciated change in China: nearly 40% of new cars sold in H1 2026 came with L2+ or L2++ driving assistance. Roughly speaking, L2+ is like highway-focused FSD: highway navigation, lane changes, ramps. L2++ is closer to today’s FSD (Supervised), extending that capability into city streets. The really striking part: in China these features are increasingly bundled into the car, often with no subscription. In the US, FSD is $99/month, BlueCruise $50/month and Super Cruise $40/month after the included period. China is turning something Americans still largely treat as premium software…
6:15 PM ET
@0xconglomerate
6:15 PM ET@0xconglomerate
@0xconglomerate on X
Been seeing lots of people question why Microducks will take 4-6 months to ship. I don't think it's a hardware production issue...I feel like the team is still refining the out-of-the-box AI capabilities of the open source robot. It's basically already equipped with ready to use essential abilities without needing an external computer. Be patient lads!
6:00 PM ET
NVIDIA
$NVDA
6:00 PM ETNVIDIA
@NVIDIARobotics on X
Robots are ready to take on complex environments. 🌍 See how AI, simulation, and accelerated computing are redefining what’s possible in robotics at #NVIDIAGTC Berlin. View sessions 👉 https://t.co/KuuYG9io52 https://t.co/fPOZUrWjyr
5:47 PM ET
WLWorld Labs
5:47 PM ETWLWorld Labs
@a16z on X
World Labs co-founder Justin Johnson on how five photos from your phone could teach a robot to work in a room it has never seen: "I think there's a couple different tech trees that people are working on. One is this notion of fully in-context learning. Maybe I've got a robotics foundation model, then I can demonstrate to the robot once how a task should be performed, and that's enough for the robot to figure out that task." "Another version is what we're calling real-to-sim-to-real. Maybe I've got my pre-trained robotics foundation model, but I want to adapt it to this particular…
5:13 PM ET
ANAnthropic
5:13 PM ETANAnthropic
@MParekh on X
‘New and Improved’ in AI Models, Anthropic, OpenAI & Google. ARD #154 ...Fable 5.1’s fine print. Astra tips out on cyber. Gemini narrows the gap. World models level up. Full writeup and source links: https://t.co/UZSXoRFmE2 https://t.co/UOEqsFebFq
5:00 PM ET
ALAlibaba
5:00 PM ETALAlibaba
@stretchcloud on X
The AI assistant category is being replaced. QwenWork landed in public beta globally this week. Alibaba's move is to make the next product category a single subscription that puts an AI agent in control of your browser, your desktop, and your files. Not a chat assistant. An agent platform. The platform merges three Alibaba products into one: QoderWork for code, MuleRun for automation, and Wukong for browser agents. Describe a task in natural language. The agent navigates websites, operates your local computer, and executes multi-step processes without you switching tools. It ships multimodal…
4:47 PM ET
@ricci_nov
4:47 PM ET@ricci_nov
@ricci_nov on X
SinkPruner drops 89% of visual tokens in multimodal models with no training, keeping 96.5% of LLaVA-1.5's performance and 91.8% of Qwen2.5-VL's. The tokens it cuts are high-norm outliers earlier methods kept. Most visual context is paid for, not used. https://t.co/VIlBbkCqYU
4:40 PM ET
@stretchcloud
4:40 PM ET@stretchcloud
@stretchcloud on X
Firecrawl's bet: the next billion users are agents. Their exact framing when they launched agent signups: "We're betting on the next 1B+ users being agents." Ask your agent to add Firecrawl, claim an API key, pull web data in seconds. The signal is correct. Agents need structured web data, not links and snippets. Web search gives pointers. What agents actually need is reliable extraction from specific pages at scale. The problem the whole category has not solved is cost. Re-reading a page with an LLM on every pass to extract data burns tokens fast. When a page changes, you re-read. When you…
4:33 PM ET
MOMostik
4:33 PM ETMOMostik
@Scobleizer on X
You have been paying a giant model to think and then to write. That second part is the expensive one. Mostik splits it. The giant model reads your problem. A small one on your own computer writes the answer. They share the thinking, not the words. 80% as good. 20 times faster. https://t.co/AD0GdYmAUg @mostik_ai @aimalysheva
4:20 PM ET
Google
$GOOGL
4:20 PM ETGoogle
@stretchcloud on X
The model tier split just happened. Gemini 3.8 Flash and Gemini 3.8 Flash Cyber launched today. Same day, completely different access regimes. The public Flash model is on the Gemini API at $0.75 per million input tokens. It scores 73.7% on DeepSWE 1.1, leads Harvey's Legal Agent Benchmark, and is the third updated Flash in 6 weeks. Gemini 3.8 Flash Cyber is not on the public API at all. Access is through Google's Fairwind Program, restricted to government agencies, critical infrastructure operators, and software maintainers. The capability gap is not marginal. Google's Chrome Security team…
4:10 PM ET
ZRZeroth Robotics
4:10 PM ETZRZeroth Robotics
@HumanoidsHQ on X
Zeroth Robotics just unveiled Zeroth Bridge, an open platform built to bring embodied AI into the real world. 🤖 The Geek Edition costs $1,322 and is designed for developers, research, education and robotics competitions. At 88 cm tall and 12 kg, it can walk, jump, dance and even do backflips. With OpenBridge, developers can experiment, build and teach the robot new capabilities. This is how physical AI becomes accessible to more people. 🔥
3:50 PM ET
XSX Square Robot
3:50 PM ETXSX Square Robot
@humanoidsdaily on X
X Square Robot just unveiled TwinDEX, an isomorphic three-finger, 9-DoF manipulation interface designed to solve the physical AI data bottleneck. By matching a wearable exoskeleton directly to a robot end effector across kinematics, touch, and geometry, it allows policies to learn complex dexterous tasks—like an uncut 24-step chemistry lab test—with zero on-robot training data.
3:47 PM ET
MOmondorobotics
3:47 PM ETMOmondorobotics
@HumanoidsHQ on X
Beni has been an absolute surprise. 🤖 It’s tough, fun and the kids love it. Watching it fall, get back up and keep going is impressive. But the real excitement is what comes next. Physical AI is still just getting started, and Beni could evolve into a genuinely useful companion for everyday life. Robot by @mondorobotics.
3:36 PM ET
Meta
3:36 PM ETMeta
@TheRundownAI on X
The heavy week of AI releases continues with Meta and Muse Spark 1.3. Big jumps across the board over 1.2, with Mark Zuckerberg calling it "frontier performance almost too cheap to meter." https://t.co/uSrU3L5P6O
3:20 PM ET
@stretchcloud
3:20 PM ET@stretchcloud
@stretchcloud on X
The question "which model is better for my use case" only has one honest answer: run your actual work across both and compare. Fable 5.1 shipped yesterday. Qwen3.8-Max-0902 shipped yesterday. Grok 4.7 arrives in 10 days. Gemini 3.8 Flash dropped today. Four serious coding models in 48 hours. What I keep seeing: the teams getting value aren't the ones reading benchmark tables. They're the ones running the same task across multiple agent backends in isolated environments, measuring real output on real code. That's what I built Campfire for. One browser tab, every major coding agent: Claude…
3:14 PM ET
@Scobleizer
3:14 PM ET@Scobleizer
@Scobleizer on X
All right, I'm standing at Greg's house. I just had the demo. F***ing amazing! Anybody who wants to see that VR is not dead, you got to get to Greg's house in San Francisco and get a demo of what he built. Let's just put it this way: he turned a physical thing and his house itself into magic, and completely shifted my idea of where VR could go in the next few years. Unfortunately, I can't tell you much more than that because he wants to show this off personally to people. Trying to explain it on X wouldn’t work anyway. But I just got a lot more bullish on XR. And a lot happier that I have an…
3:09 PM ET
CACaterpillar
3:09 PM ETCACaterpillar
Caterpillar | Caterpillar and FieldAI Advance AI-Powered Industrial Innovation
- News - Corporate Press Releases - Corporate Press Release Archive - Caterpillar and FieldAI Advance AI-Powered Industrial Innovation Caterpillar and FieldAI Advance AI-Powered Industrial Innovation Leveraging robotics, digital twins and NVIDIA technologies, the collaboration helps create safer, smarter and more productive operations IRVING, Texas, Sept. 2, 2026 – As industries face growing labor shortages and increasing productivity demands, Caterpillar Inc. (NYSE: CAT) is collaborating with FieldAI to advance physical AI, autonomy and robotics that help jobsites and factories operate safer…
3:06 PM ET
SHShuoYangAIR
3:06 PM ETSHShuoYangAIR
@TheHumanoidHub on X
We've had Beni for a couple of months now, and one word comes to mind: delightful. The standout part was the hardware robustness. Our kids get rough with it, obstacle courses on concrete, dirt, collisions. It tumbles, gets back up, and it's scratched all over, but it has never shown a sign of breaking or throttling. It just keeps going every time. It works right out of the box with a physical remote, and the phone app adds tracking and video recording. Beni captures the imagination. People get the cute vibes the moment it stands up on two wheels. I took it to the REK robot fight event, and…
3:00 PM ET
WLWorld Labs
3:00 PM ETWLWorld Labs
@stretchcloud on X
Something shifted with the World Labs Atlas announcement. We've had image generators, video generators, and 3D tools for years. Atlas does all three from a single model with the same spatial understanding. The technical description: a multimodal autoregressive diffusion transformer, pre-trained from scratch on image, video, 3D, and camera movement jointly. Not a video model with 3D features bolted on. One model, one spatial representation. What it can do: pixel-perfect camera control on generated frames up to 1440p. Video up to 60 seconds. Input a scene or image, move the camera in any…
3:00 PM ET
NVIDIA
$NVDA
3:00 PM ETNVIDIA
NVIDIA at ROSCon 2026 | Toronto, Canada
Join NVIDIA at ROSCon 2026 September 22–24, 2026 Toronto, Canada at the Sheraton Centre Toronto Hotel Register Now - Overview - Sessions - FAQs - Solutions - Resources & Community - Next Steps - Overview - Overview - Sessions - FAQs - Solutions - Resources & Community - Next Steps - Overview - Sessions - FAQs - Solutions - Resources & Community - Next Steps Discover What’s Possible With NVIDIA Robotics Join NVIDIA, partners, and customers for three days of workshops, technical talks, tutorials, and demos. Learn from leading robotics developers and get the latest on the NVIDIA Isaac™ and…
12:00 PM ET
Andra Keay
12:00 PM ETAndra Keay
Learning about robots from science fiction - by Andra Keay
Robots & Startups Interesting things about robots, robot startups, and the future that's already here. From the epicenter of the robot revolution - Silicon Valley Robotics. By Andra Keay · Over 10,000 subscribers Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Not right now thanks “Andra Keay does a lot of work describing how the development of robotics will shape our future. Her weekly posts are detailed and meticulously written.”...” “Andra Keay does a lot of work describing how the development of robotics…
12:00 PM ET
NVIDIA
$NVDA
12:00 PM ETNVIDIA
@NVIDIARobotics on X
🤖 A robot policy can be compact enough to run onboard and fast enough to keep the arm moving continuously. Post-trained NVIDIA Cosmos 3 Edge on NVIDIA Jetson AGX Thor T5000 generates roughly 2.13 seconds of robot motion in about 1.53 seconds, then replans from fresh camera and robot-state observations. Developers can test the same policy in closed-loop RoboLab simulation across 120 language-conditioned manipulation tasks before evaluating on hardware.
11:10 AM ET
@OperationsPLS
11:10 AM ET@OperationsPLS
@OperationsPLS on X
The capital rotation into robotics and physical AI reflects a structural shift, not just a theme cycle. Unlike clean energy, the productivity gains here compound directly into manufacturing cost curves — which is why the investment thesis has more durability. @rickyho_1989
11:01 AM ET
Agility Robotics
11:01 AM ETAgility Robotics
Agility on X: "Every object a different size, weight, and grip. Rearranging a full room's worth of stuff is the same generalized manipulation Digit uses to take on mixed loads and changing layouts on a real warehouse floor.
#Agility #DigitRobot" / X
Post Log in Sign up Post Agility on X: "Every object a different size, weight, and grip. Rearranging a full room's worth of stuff is the same generalized manipulation Digit uses to take on mixed loads and changing layouts on a real warehouse floor. \#Agility \#DigitRobot" - Agility @agilityrobotics Every object a different size, weight, and grip. Rearranging a full room's worth of stuff is the same generalized manipulation Digit uses to take on mixed loads and changing layouts on a real warehouse floor. #Agility #DigitRobot 00:00 View media 11:01 AM · Sep 2, 20261.6KViews 5 2 29 - cyberprince…
10:08 AM ET
David Cao Physical AI Builders
10:08 AM ETDavid Cao Physical AI Builders
Home | Physical AI Signal Newsletter |
Physical AI Builders Newsletter Subscribe TwitterLinkedInFacebookYouTubeDiscord \\ \\ Sep 2, 2026\\ \\ •\\ \\ 3 min read\\ \\ Physical AI Newsletter is one year old, thank you!\\ \\ Now also on Linkedin, X.com\\ \\ \\ \\ David Cao \\ \\ Aug 30, 2026\\ \\ •\\ \\ 2 min read\\ \\ Behind A16z's $1.1B Hardware Shift - Silicon Valley Went Physical - From Robot Brain to Infrastructure \\ \\ Fifteen years after "software is eating the world," Marc Andreessen's own firm just admitted atoms are eating software's margins. \\ \\ \\ \\ David Cao \\ \\ Aug 26, 2026\\ \\ •\\ \\ 7 min read\\ \\ How to Build…
9:43 AM ET
NVIDIA
$NVDA
9:43 AM ETNVIDIA
@techniahqrobot on X
We’re cooked if robots can start learning from bodies they don’t even have. NVIDIA Brown Columbia and Harvard researchers released Hydra-0, a world model that represents robot actions as pixel motion. It was trained on about 2,202 hours of multi-embodiment video spanning human hands, handheld grippers, single-arm robots and bimanual systems. Instead of tying an action to one specific robot body, Hydra-0 predicts how objects should move in the image. The team also tested it on a real 14-DoF YAM robot, which bent a flexible pipe from a desired object motion. This is still a controlled…
9:20 AM ET
CACaterpillar
9:20 AM ETCACaterpillar
Wall St Engine on X: "CATERPILLAR PARTNERS WITH FIELDAI ON PHYSICAL AI
$CAT is working with FieldAI to bring AI-powered autonomy and robotics into jobsites and factories, using Caterpillar’s operational data, FieldAI’s robot foundation models and NVIDIA technologies.
Early applications include au… / X
Post Log in Sign up Post Wall St Engine on X: "CATERPILLAR PARTNERS WITH FIELDAI ON PHYSICAL AI $CAT is working with FieldAI to bring AI-powered autonomy and robotics into jobsites and factories, using Caterpillar’s operational data, FieldAI’s robot foundation models and NVIDIA technologies. Early applications include autonomous inspections, real-time digital twins, risk detection and AI-driven optimization of equipment and facility operations." - Wall St Engine @wallstengine CATERPILLAR PARTNERS WITH FIELDAI ON PHYSICAL AI $CAT is working with FieldAI to bring AI-powered autonomy and…
8:32 AM ET
Figure
8:32 AM ETFigure
@10xthinker on X
Are humanoids a business story or just hype? - The Beijing robotics conference almost looked like a comedy show — robots stumbling, misidentifying obstacles, and performing like toddlers. - Yet the buzz has helped companies like Unitree reach valuations exceeding 1,200x earnings. At the same time, most robots deployed in China today don’t require general-purpose intelligence. So why are billions being invested? Is it an obsession with the human form factor, or because humanoids can be emotionally resonant? Our world — factories, hospitals, and homes — is built for humans. That creates a…
8:00 AM ET
MSMorgan Stanley
8:00 AM ETMSMorgan Stanley
@smsehy on X
Morgan Stanley estimates building an Optimus Gen 2 costs $45,500 using China's supply chain, versus $131,800 without it. That $86,300 delta is not simply raw neodymium pricing. It reflects fifteen years of continuous capital expenditure across EV assembly lines, rare earth magnet processing plants, and specialized high-precision machine tools. Software and foundation models grab the headlines in robotics. Yet when humanoids transition to volume manufacturing, the physical AI race collides directly with industrial processing capacity at the periodic table.
4:17 AM ET
NVNVIDIARobotics
4:17 AM ETNVNVIDIARobotics
@continuumlabs_ on X
@NVIDIARobotics @NobleMachines @ADLINK_IoT Industrial environments are probably one of the best proving grounds for physical AI. If robots can reliably handle these tasks, the range of real-world applications gets much wider.
4:00 AM ET
Unitree Robotics
4:00 AM ETUnitree Robotics
Humanoid Digest: August 2026 | XMAQUINA DAO
Genesis Auction Wave 2! Launches June 24 Get DEUS homeDAO Portal Humanoid Digest: August 2026 Color theme: Another major robotics company reached the public markets as investment and company formation continued across the sector. .png) August 28, 2026 Category: Physical AI Read time: 11 minutes Share This: Unitree became the latest robotics company to go public in August, giving investors another public benchmark for valuing the sector. As more robotics companies mature outside private funding, public markets are beginning to play a larger role in how the industry is financed and valued. The…
4:00 AM ET
Unitree Robotics
4:00 AM ETUnitree Robotics
XMAQUINA on X: "Humanoid Digest: August
Another humanoid company made its public market debut this month, while the World Humanoid Robot Games in Beijing delivered another successful showcase for the industry.
Here’s what happened 🧵" / X
Post Log in Sign up Post XMAQUINA on X: "Humanoid Digest: August Another humanoid company made its public market debut this month, while the World Humanoid Robot Games in Beijing delivered another successful showcase for the industry. Here’s what happened 🧵" - XMAQUINA @xmaquina Humanoid Digest: August Another humanoid company made its public market debut this month, while the World Humanoid Robot Games in Beijing delivered another successful showcase for the industry. Here’s what happened 🧵 View media 4:00 AM · Sep 2, 20262.3KViews 5 8 74 3 - XMAQUINA @xmaquina 9h 1/ Unitree reached the…
3:44 AM ET
ALAlibaba
3:44 AM ETALAlibaba
Chubby♨️ on X: "wtf Qwen 3.8 has been updated to version 0902 and is now almost at the same level as Fable 5 in benchmarks.
The interesting two aspects:
1) For such significant jumps, it seems that you don't even change the version number anymore (no Qwen 3.9), rather the development happens so q… / X
Post Log in Sign up Post Chubby♨️ on X: "wtf Qwen 3.8 has been updated to version 0902 and is now almost at the same level as Fable 5 in benchmarks. The interesting two aspects: 1) For such significant jumps, it seems that you don't even change the version number anymore (no Qwen 3.9), rather the development happens so quickly that an update is simply added 2) it is breathtaking to see how much China is catching up and the gap to US labs is narrowing. Despite still having significantly fewer computers in comparison, models like Qwen are following suit and keeping up. Absurd." - Chubby♨️…
3:26 AM ET
@smsehy
3:26 AM ET@smsehy
@smsehy on X
Localized low-latency inference on humanoids requires automotive-grade high-bandwidth memory that withstands intense mechanical vibration and thermal cycling. Sizing on-chip memory buffers to prevent bus saturation during continuous high-rate tactile policy execution directly dictates compute bill of materials.
3:05 AM ET
Apptronik
3:05 AM ETApptronik
Global Robotics Industry Converges on Japan for Humanoids Summit Tokyo 2026
- Global Robotics Industry Converges on Japan for Humanoids Summit Tokyo 2026 Share Leaders across robotics, physical AI, and automation gather in Tokyo this May Download media TOKYO--( BUSINESS WIRE)--Tokyo is emerging as a global center for humanoid robotics as industry leaders from around the world prepare to gather for the Humanoids Summit Tokyo , taking place May 28–29, 2026 at the Takanawa Gateway Convention Center. First announced in December as the Summit’s inaugural Asia edition, the Tokyo event is building strong momentum as the global robotics community focuses on humanoid robots,…
12:15 AM ET
Tesla
$TSLA
12:15 AM ETTesla
Nic Cruz Patane on X: "The @Tesla Cybercab is launching this week.
Good luck to Waymo." / X
Post Log in Sign up Post Nic Cruz Patane on X: "The @Tesla Cybercab is launching this week. Good luck to Waymo." - Nic Cruz Patane @niccruzpatane The @Tesla Cybercab is launching this week. Good luck to Waymo. View media 12:15 AM · Sep 2, 2026404.6KViews 279 586 7K 521 - Chris Milas 🐂 @chrismilas 13h Revenue View media 9 2 67 4.1K - Mr.Lin @wanqinlin 3h People keep arguing “Waymo costs this much, Tesla taxi costs that much.” Bro. We are not buying the car. We are not taking it home. We are not parking it. We are not washing it. We are just sitting in the back while a robot drives us around.…
11:53 PM ET
Agility Robotics
11:53 PM ETAgility Robotics
@CapitalSqueez on X
$CCXI Agility Robotics is the cleanest public-market proxy for Jensen Huang’s “every industrial company becomes a robotics company” call. While most humanoid names are still selling demo reels, Digit is already on live floors moving totes and tending machines. NVIDIA is not a distant partner here. Agility is an NVentures portfolio company, Digit’s onboard brain is moving onto Jetson / IGX Thor @agilityrobotics @HumanoidInvest @slinkyhammer @SCSQ2022 @valueInIdeas @chris_j_paxton
11:48 PM ET
ARaxis robotics
11:48 PM ETARaxis robotics
Omai Leidi (3/3) on X: "Happy Wednesday frens👋
Everyone is watching the race to build better robots.
I’m starting to think the real race is the data teaching those robots how to act.
I’ve been digging into @axisrobotics, and it changed how I look at the space.
At first glance, AXIS looks like… / X
Post Log in Sign up Post Omai Leidi (3/3) on X: "Happy Wednesday frens👋 Everyone is watching the race to build better robots. I’m starting to think the real race is the data teaching those robots how to act. I’ve been digging into @axisrobotics, and it changed how I look at the space. At first glance, AXIS looks like a platform where you control simulated robots from your browser. That’s only the entry point. The bigger idea is robotic data infrastructure. Robots need experience to become useful. They need to pick things up, move objects, sort items, assemble parts, use tools, and operate in…
10:38 PM ET
Google
$GOOGL
10:38 PM ETGoogle
@OdinsDeposition on X
@dotkrueger They essentially pinpointed their long running targets today with Nvidia and Spacex CEOs both aligned on listing 10x economic gains from robotics. Prior to that 20-30% global economic gain from widespread digital AI.
10:31 PM ET
ZIZiNovaLabs
10:31 PM ETZIZiNovaLabs
LimX Dynamics on X: "Together with ZINOVA's Tool Intelligence, TRON 2 takes on increasingly complex construction workflows.
@ZiNovaLabs builds on TRON 2 to explore an innovative robotic configuration for construction, demonstrating key tasks in a scaled-down tilt-up construction workflow, includi… / X
Post Log in Sign up Post LimX Dynamics on X: "Together with ZINOVA's Tool Intelligence, TRON 2 takes on increasingly complex construction workflows. @ZiNovaLabs builds on TRON 2 to explore an innovative robotic configuration for construction, demonstrating key tasks in a scaled-down tilt-up construction workflow, including formwork assembly, multi-layer rebar placement and tying. TRON 2 serves as a modular and extensible embodied robotic platform for multi-tool, multi-step tasks across large workspaces. Its dual arms handle construction tools and materials across different orientations and…
8:00 PM ET
NHNorbert Health
8:00 PM ETNHNorbert Health
Norbert Health Raises US$14 Million Series A for Autonomous Robotic Nursing Assistants
Norbert Health, a Brooklyn-based company that turns robotic hardware into autonomous nursing assistants, raised a US$14 million Series A announced September 1, 2026. The round was led by William A. Marino with Cardinal Group, with participation from Exor Seeds and CareIT, and an angel roster that includes Datadog co-founders Alexis Le-Quoc and Olivier Pomel, Noom co-founder and executive chairman Saeju Jeong, and Owkin chief executive Thomas Clozel. The financing brings total capital raised to US$19 million. The company, led by co-founder and chief executive Alexandre Winter, sells a control…
7:22 PM ET
TITeradyne Inc
7:22 PM ETTITeradyne Inc
Value Investing Edge on X: "8. $TER | Major semiconductor-test and industrial robotics play, owning Universal Robots and MiR while supplying testing equipment critical to AI chips and memory. Q2 2026 revenue reached $1.33B, up 104% YoY." / X
Post Log in Sign up Post Value Investing Edge on X: "8. $TER \| Major semiconductor-test and industrial robotics play, owning Universal Robots and MiR while supplying testing equipment critical to AI chips and memory. Q2 2026 revenue reached $1.33B, up 104% YoY." - Value Investing Edge @StonkValue 16h $NVDA just said Physical AI could be 1,000% bigger than Digital AI. 10 best growth stocks to build a Robotics portfolio: 1\. $UMAC \| Positioned as a domestic supply-chain play for commercial and defense drones. Builds U.S.-made drone components. Q2 2026 revenue reached $16.7M, Show more - \\ \\…
7:00 PM ET
NVIDIA
$NVDA
7:00 PM ETNVIDIA
From Robot Development to Deployment with Isaac GR00T & Jetson Thor - YouTube
From Robot Development to Deployment with Isaac GR00T & Jetson Thor Visibility: Public Uploaded by: NVIDIA Omniverse Uploaded at: 2026-08-27 Published at: 2026-08-26 Length: 1:17:39 Views: 12267 Likes: 131 Category: Science & Technology Description Transcript [music] We're coming in hot. [laughter] This live stream is off the hook. You guys are really going to love this one. As you can see, right next to me, we've got a nice little stage uh camera set up with a nice little uh little robot setup. We're going to go into that a little bit later, but I'm so happy for you to join us. Welcome to…
7:00 PM ET
Nvidia
$NVDA
7:00 PM ETNvidia
Noble Machines Accelerates Humanoid Robot Development 3X | NVIDIA
Manufacturing \| Robotics Noble Machines Accelerates General Purpose Industrial Robot Development With NVIDIA Isaac GR00T Learn More Objective Noble Machines is advancing industrial robot development with the Moby general-purpose industrial robot and its supporting software stack, including a proprietary AI driven whole-body-control system. Moby is designed for complex, hazardous, and labor-intensive work across factories, logistics centers, construction sites, and semiconductor facilities, where operating reliably requires advanced perception, reasoning, adaptation, and physical interaction.…
6:07 PM ET
@drfeifei
6:07 PM ET@drfeifei
@drfeifei on X
@DrJimFan @theworldlabs Indeed Jim, a camera conditioned world model with spatial context has so much horizontal usage including real2sim for robotics!
4:48 PM ET
NVIDIA
$NVDA
4:48 PM ETNVIDIA
Accelerate Computational Engineering and Robotics With NVIDIA Warp | AddEvent
Accelerate Computational Engineering and Robotics With NVIDIA Warp schedule Wednesday, September 2, 1:00pm - 2:00pm (CDT) print Share - Facebook - Twitter - LinkedIn - Google Plus - Whatsapp - VK - StumbleUpon - Reddit - Email Link: south\americaexpand\moreTime shown inCDT -05:00America, Chicago search close Time zone am/pm 24h - (GMT-11:00)Pacific, Midway - (GMT-11:00)Pacific, Niue - (GMT-11:00)Pacific, Pago Pago - (GMT-10:00)Pacific, Honolulu - (GMT-10:00)Pacific, Rarotonga - (GMT-10:00)Pacific, Tahiti - (GMT-09:30)Pacific, Marquesas - (GMT-09:00)America, Adak - (GMT-09:00)Pacific, Gambier…
2:21 PM ET
ANAnthropic
2:21 PM ETANAnthropic
Yuchen Jin on X: "Even if most AI labs are benchmark-maxxing now, Fable 5.1 still looks like an insane jump.
From Anthropic’s blog:
- Found a 1-in-a-million crash Millennium’s team couldn’t explain for 4–5 years
- 2x faster than Opus 5 while using half the tokens
Big if true." / X
Post Log in Sign up Post Yuchen Jin on X: "Even if most AI labs are benchmark-maxxing now, Fable 5.1 still looks like an insane jump. From Anthropic’s blog: \- Found a 1-in-a-million crash Millennium’s team couldn’t explain for 4–5 years \- 2x faster than Opus 5 while using half the tokens Big if true." - Yuchen Jin @Yuchenj\UW Even if most AI labs are benchmark-maxxing now, Fable 5.1 still looks like an insane jump. From Anthropic’s blog: \- Found a 1-in-a-million crash Millennium’s team couldn’t explain for 4–5 years \- 2x faster than Opus 5 while using half the tokens Big if true. View…
2:09 PM ET
NMNoble Machines
2:09 PM ETNMNoble Machines
From Robot Development to Deployment with Isaac GR00T & Jetson Thor - YouTube
Error 401 (Bad Request)!!1 401. That’s an error. The server cannot process the request because it is malformed. It should not be retried. That’s all we know. Back Skip navigation Search Search with your voice Sign in From Robot Development to Deployment with Isaac GR00T & Jetson Thor Tap to unmute 2x From Robot Development to Deployment with Isaac GR00T & Jetson Thor NVIDIA Omniverse 12,267 views Streamed 7d ago Copy link Info Shopping If playback doesn't begin shortly, try restarting your device. • You're signed out Videos you watch may be added to the TV's watch history and influence TV…
2:09 PM ET
Nvidia
$NVDA
2:09 PM ETNvidia
Seeed reBot Arm B601-RS: Physical AI & VLA Model Course | NVIDIA DLI Series
Warehouse China Warehouse US Warehouse Germany Warehouse The store will not work correctly in the case when cookies are disabled. US Warehouse: Enjoy FREE UNIUNI shipping on orders under $50! (Excludes XIAO & Raspberry Pi series) \\ \\ the AI Hardware Partner For Industry Products Local Warehouse Documents Customization Solution Software Support Open Claw Quick Order Account Get more with a SeeedStudio accountclear \\ \\ 1 on 1 Support \\ \\ Local Delivery \\ \\ 30-Day DOA Guarantee \\ \\ 30-Day Returns Sign In Create Account My Orders\\ Track, change, cancel Account Information\\ Update…
1:48 PM ET
SAsanctuary
1:48 PM ETSAsanctuary
Physical AI for Industrial Automation | Sanctuary AI
We value your privacy We use cookies to enhance your browsing experience, serve personalised ads or content, and analyse our traffic. By clicking "Accept All", you consent to our use of cookies. CustomiseReject AllAccept All Customise Consent Preferences We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below. The cookies that are categorised as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... Show more…
1:29 PM ET
Google
$GOOGL
1:29 PM ETGoogle
Google DeepMind on X: "We’re bringing agentic video understanding to our latest Gemini models.
They can now analyze videos with better accuracy while using up to 88% fewer tokens. 🧵" / X
Post Log in Sign up Post Google DeepMind on X: "We’re bringing agentic video understanding to our latest Gemini models. They can now analyze videos with better accuracy while using up to 88% fewer tokens. 🧵" - Google DeepMind @GoogleDeepMind We’re bringing agentic video understanding to our latest Gemini models. They can now analyze videos with better accuracy while using up to 88% fewer tokens. 🧵 View media 1:29 PM · Sep 1, 2026127.2KViews 93 132 1.3K 264 - Google DeepMind @GoogleDeepMind 21h Instead of scanning an entire file, Gemini reasons across the video’s transcript, audio, and…
1:28 PM ET
WLworld-labs
1:28 PM ETWLworld-labs
World Labs on X: "All of this is powered by one unified architecture: a multimodal autoregressive diffusion transformer, pretrained from scratch.
This foundation blends the best of modern LLMs and video models, benefiting from the architectural, algorithmic, and systems advances from both areas." / X
Post Log in Sign up Post World Labs on X: "All of this is powered by one unified architecture: a multimodal autoregressive diffusion transformer, pretrained from scratch. This foundation blends the best of modern LLMs and video models, benefiting from the architectural, algorithmic, and systems advances from both areas." - World Labs @theworldlabs 12h Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time. 00:00 View media 330…
1:28 PM ET
WLworld-labs
1:28 PM ETWLworld-labs
Atlas: A World Model for Spatial Intelligence | World Labs
September 1, 2026Introducing Atlas, our new omni world model for spatial intelligence. Atlas: A World Model for Spatial Intelligence World models generate, reconstruct, and simulate any possible world. They understand how worlds appear, behave, and evolve so that we can render imagined worlds for creative users, simulate the real world in high fidelity, and help robots plan actions. At World Labs, we build these general purpose world models in pursuit of spatial intelligence. Today we are introducing Atlas, our next-generation world model. Atlas is an omni model that we pretrained from…
12:53 PM ET
Nvidia
$NVDA
12:53 PM ETNvidia
Polymarket Money on X: "BREAKING: Nvidia declares physical AI could become “10x larger than digital AI” with Jensen Huang predicting every industrial company will become a robotics company." / X
Post Log in Sign up Post Polymarket Money on X: "BREAKING: Nvidia declares physical AI could become “10x larger than digital AI” with Jensen Huang predicting every industrial company will become a robotics company." - Polymarket Money @PolymarketMoney BREAKING: Nvidia declares physical AI could become “10x larger than digital AI” with Jensen Huang predicting every industrial company will become a robotics company. 12:53 PM · Sep 1, 2026200.5KViews 78 283 3.3K 503 - GEODNET @GEODNET 20h Jensen is spot on. But as Physical AI scales 10x, standard digital compute isn't enough. Autonomous robots,…
12:01 PM ET
Andra Keay
12:01 PM ETAndra Keay
Learning about robots from science fiction - by Andra Keay
Robots & Startups Interesting things about robots, robot startups, and the future that's already here. From the epicenter of the robot revolution - Silicon Valley Robotics. By Andra Keay · Over 10,000 subscribers Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Not right now thanks “Andra Keay does a lot of work describing how the development of robotics will shape our future. Her weekly posts are detailed and meticulously written.”...” “Andra Keay does a lot of work describing how the development of robotics…
12:00 PM ET
WAwafer
12:00 PM ETWAwafer
wafer on X: "We’re excited to announce that we’ve raised a $40M Series A!
co-led by @MarathonMP and @chemistry, with participation from @Wing_VC, @AMD Ventures, @outsetcap, @fiftyyears, and @ycombinator, and our existing investors doubling down on @wafer_ai. we are also joined by an incredible lis… / X
Post Log in Sign up Post wafer on X: "We’re excited to announce that we’ve raised a $40M Series A! co-led by @MarathonMP and @chemistry, with participation from @Wing\VC, @AMD Ventures, @outsetcap, @fiftyyears, and @ycombinator, and our existing investors doubling down on @wafer\ai. we are also joined by an incredible list of angels, including @JeffDean (CEO, @DiscoLoopAI), @rauchg (CEO, @vercel), @andyfang (CTO, @DoorDash), @kvogt (CEO, Bot), @akothari (COO, @NotionHQ), @eastdakota (CEO, @Cloudflare), @deepgramscott (CEO, @DeepgramAI), and more! Most inference optimization today is manual,…
11:56 AM ET
Robert Scoble
11:56 AM ETRobert Scoble
Unaligned Newsletter
Unaligned Newsletter Industry-wide analysis of the hottest companies and people in AI / Spatial Computing Archive Sep 01, 2026\\ \\ When Every Machine Becomes an AI Agent With Physical AI \\ \\ \\ \\ Robert Scoble, +1 Aug 25, 2026\\ \\ The New Economics of AI \\ \\ Intelligence Is Becoming a Commodity \\ \\ \\ \\ Robert Scoble, +1 Aug 18, 2026\\ \\ The Convergence of Spatial Computing and Physical AI \\ \\ Why the Next Generation of Robotics Needs Both \\ \\ \\ \\ Robert Scoble, +1 Aug 11, 2026\\ \\ AI Is Making Timing More Valuable Than Intelligence \\ \\ \\ \\ Robert Scoble, +1 Aug 04,…
11:16 AM ET
Physical Intelligence
11:16 AM ETPhysical Intelligence
Timothy B. Lee on X: "Last year roboticist Benjie Holson created the "Humanoid Olympics," a list of tasks that are trivial for humans but hard for robots. A startup called Physical Intelligence solved several of them three months later. But there were some big caveats!" / X
Post Log in Sign up Post Timothy B. Lee on X: "Last year roboticist Benjie Holson created the "Humanoid Olympics," a list of tasks that are trivial for humans but hard for robots. A startup called Physical Intelligence solved several of them three months later. But there were some big caveats!" - Timothy B. Lee @binarybits Sep 1 Robots can dance, do backflips, and run faster than Usain Bolt. This makes a lot of people worry about mass unemployment. But @chi\t\williams wrote an amazing article explaining why it'll take years — possibly decades — for robots to match humans. \\ \\ Why humanoid…
11:12 AM ET
Tesla
$TSLA
11:12 AM ETTesla
@MilkRoadAI on X
Elon Musk thinks humanoid robots could become a bigger industry than almost anyone expects (Save this). @elonmusk said the usefulness of a humanoid robot depends on three factors, the quality of its artificial intelligence software, the performance of its onboard chip and the dexterity of its mechanical systems, especially its hands. Because all three areas are improving rapidly, even small advances could multiply together and make robots significantly more capable over time. Musk also believes robots could eventually help manufacture more robots, creating a self reinforcing production cycle…
10:01 AM ET
FAFanuc
10:01 AM ETFAFanuc
Learning about robots from science fiction - by Andra Keay
Robots & Startups Interesting things about robots, robot startups, and the future that's already here. From the epicenter of the robot revolution - Silicon Valley Robotics. By Andra Keay · Over 10,000 subscribers Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Not right now thanks “Andra Keay does a lot of work describing how the development of robotics will shape our future. Her weekly posts are detailed and meticulously written.”...” “Andra Keay does a lot of work describing how the development of robotics…
6:30 AM ET
EAeastworlds_io
6:30 AM ETEAeastworlds_io
@0xconglomerate on X
.@eastworlds_io is producing 200 hours of humanoid teleop data every week, making it the largest @UnitreeRobotics G1 data source outside China. That might look small beside known datasets, but they combine data collection and real-world robot deployment in one operation. This means they can use what happens in deployment to refine what they collect next. So instead of just adding more hours, the data can become more targeted, efficient, and cost-effective. The tradeoff is breadth. Eastworlds’ current Unitree G1 focus gives them depth on one embodiment, but not automatically the task and scene…
3:53 AM ET
https://x.com/ChongZzZhang
3:53 AM EThttps://x.com/ChongZzZhang
C. Zhang on X: "New paper release: Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids
Paper https://t.co/LlrDsajHqx
Videos https://t.co/jXLtG68oUg
We study how to do learning and sim2real for 3d traversal, such as monkey bars and overhanging obstacles." / X
Post Log in Sign up Post C. Zhang on X: "New paper release: Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids Paper https://t.co/LlrDsajHqx Videos https://t.co/jXLtG68oUg We study how to do learning and sim2real for 3d traversal, such as monkey bars and overhanging obstacles." - C. Zhang @ChongZzZhang New paper release: Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids Paper arxiv.org/pdf/2608.29769 Videos nemantor.github.io/sparse-3d-trav… We study how to do learning and sim2real for 3d traversal, such as monkey bars and overhanging obstacles.…
12:08 AM ET
Unitree
12:08 AM ETUnitree
@OptionKing666 on X
Unitree’s IPO raised RMB 6bn and closed its first day up 460% at an RMB 237bn market value; 48% of proceeds is allocated to robot-model R&D. The asymmetry is clear: funding for capability expansion is already abundant, while the return on that spend remains unproven through a full cycle. Validation requires brain R&D to monetize into the FactSet-estimated revenue ramp from RMB 2.9bn in 2026E to RMB 4.9bn in 2027E. A miss would falsify the capital-efficiency case; the main risk is multiple compression from Unitree’s 80x/48x 2026E/2027E P/S before monetization catches up.
10:31 PM ET
Google
$GOOGL
10:31 PM ETGoogle
smartfitguide on X: "Google DeepMind's RT-2 model treats robot actions as text tokens. By co-fine-tuning pre-trained Vision-Language Models with robotic data, it achieved nearly double the performance on novel tasks compared to its predecessor, RT-1. #AI" / X
Post Log in Sign up Post smartfitguide on X: "Google DeepMind's RT-2 model treats robot actions as text tokens. By co-fine-tuning pre-trained Vision-Language Models with robotic data, it achieved nearly double the performance on novel tasks compared to its predecessor, RT-1. \#AI" - smartfitguide @bareani21645 Google DeepMind's RT-2 model treats robot actions as text tokens. By co-fine-tuning pre-trained Vision-Language Models with robotic data, it achieved nearly double the performance on novel tasks compared to its predecessor, RT-1. #AI View media 10:31 PM · Aug 31, 20268Views Reply 1
9:41 PM ET
Figure
9:41 PM ETFigure
科技一分钟 on X: "马斯克质问Figure 03
Figure 03做家务的视频引发关注，马斯克公开追问是否有人远程操控。Figure创始人回应“完全自主”，但这并不等于机器人已经具备通用家庭服务能力。
#Figure03 #人形机器人 #马斯克 #具身智能 #科技一分钟 #FC200 #系留系统" / X
Post Log in Sign up Post 科技一分钟 on X: "马斯克质问Figure 03 Figure 03做家务的视频引发关注，马斯克公开追问是否有人远程操控。Figure创始人回应“完全自主”，但这并不等于机器人已经具备通用家庭服务能力。 \#Figure03 \#人形机器人 \#马斯克 \#具身智能 \#科技一分钟 \#FC200 \#系留系统" - 科技一分钟 @yunlan369 马斯克质问Figure 03 Figure 03做家务的视频引发关注，马斯克公开追问是否有人远程操控。Figure创始人回应“完全自主”，但这并不等于机器人已经具备通用家庭服务能力。 #Figure03 #人形机器人 #马斯克 #具身智能 #科技一分钟 #FC200 #系留系统 00:00 View media 9:41 PM · Aug 31, 20262Views Reply Scan to get the app
9:40 PM ET
ZHZhipu
9:40 PM ETZHZhipu
tphuang on X: "GLM-6 disclosed - more parameter & lower activation ratio & inference cost & improved post training expected. Model to make self training decisions
Expecting significant increased domestic compute addition in next 3 to 6 months. Using self owned, leased & purchased c… / X
Post Log in Sign up Post tphuang on X: "GLM-6 disclosed - more parameter & lower activation ratio & inference cost & improved post training expected. Model to make self training decisions Expecting significant increased domestic compute addition in next 3 to 6 months. Using self owned, leased & purchased compute." - tphuang @tphuang Sep 1 Regardless of how Zhipu employees view AGI internally, it publicly follows the OpenAI/Ant line of scaling RSI & Autonomous AI as the future. AI path according to Zhipu: Chat -> Coding -> Co-Work -> Autonomous Larger TAM @ each step w/ last…
9:40 PM ET
ZHZhipu
9:40 PM ETZHZhipu
tphuang on X: "How it views its own models in terms of the kind of tasks them can do. GLM-5.3 in terms of long time horizon work is still short of 1 wk, need at least 1 month to be autonomous.
Flash is the 1st one to use domestic chips & have low cost + intelligence to support long tasks." / X
Post Log in Sign up Post tphuang on X: "How it views its own models in terms of the kind of tasks them can do. GLM-5.3 in terms of long time horizon work is still short of 1 wk, need at least 1 month to be autonomous. Flash is the 1st one to use domestic chips & have low cost + intelligence to support long tasks." - tphuang @tphuang Sep 1 Regardless of how Zhipu employees view AGI internally, it publicly follows the OpenAI/Ant line of scaling RSI & Autonomous AI as the future. AI path according to Zhipu: Chat -> Coding -> Co-Work -> Autonomous Larger TAM @ each step w/ last step having…
9:19 PM ET
Tesla
$TSLA
9:19 PM ETTesla
📐_Cyber_Owl_🦉 on X: "🚨Golden Fleet Alert🚨
Golden Tesla Cybercabs have taken over the city and are flooding Austin 🌊✨
They are constantly validating pick-ups and drop offs ahead of the Cybercab launch event on 09/03 🤖🚕
Can’t wait for the most futuristic Robotaxis ever 👏
@robotaxi @Tesla @… / X
Post Log in Sign up Post 📐\Cyber\Owl\🦉 on X: "🚨Golden Fleet Alert🚨 Golden Tesla Cybercabs have taken over the city and are flooding Austin 🌊✨ They are constantly validating pick-ups and drop offs ahead of the Cybercab launch event on 09/03 🤖🚕 Can’t wait for the most futuristic Robotaxis ever 👏 @robotaxi @Tesla @Tesla\AI @elonmusk" - 📐\Cyber\Owl\🦉 @RimaSukhadia 🚨Golden Fleet Alert🚨 Golden Tesla Cybercabs have taken over the city and are flooding Austin 🌊✨ They are constantly validating pick-ups and drop offs ahead of the Cybercab launch event on 09/03 🤖🚕 Can’t wait for the most…
8:54 PM ET
HYHyper3D
8:54 PM ETHYHyper3D
@ErenChenAI on X
Shanghai-based 3D generative AI company Hyper3D has introduced WorldGen, a world generation model that turns a single image into a complete, editable 3D scene. Built on its SIGGRAPH 2025 Best Paper-winning CAST research, WorldGen reconstructs individual objects along with their spatial relationships and physical properties, including collision, mass and friction. The generated scenes can be used in existing 3D workflows, with applications ranging from game development and XR to robotics simulation and embodied AI training.
8:36 PM ET
Skild AI
8:36 PM ETSkild AI
The Robot Report: Skild AI unveils S1 robot foundation model | AI Understanding
Back to News ProductAI Understanding briefing The Robot Report: Skild AI unveils S1 robot foundation model The Robot Report reports that Skild AI unveiled S1, a robot foundation model that the company says can learn complex tasks from a single human demonstration video and operate across multiple robot forms. By AI Understanding EditorialSeptember 1, 2026 at 12:36 AM UTCUpdatedSeptember 1, 2026 at 1:47 AM UTC6 min read Read the primary source The short version The Robot Report reports that Skild AI unveiled S1, a robot foundation model that the company says can learn complex tasks from a…
8:00 PM ET
Andra Keay
8:00 PM ETAndra Keay
Learning about robots from science fiction - by Andra Keay
Robots & Startups Interesting things about robots, robot startups, and the future that's already here. From the epicenter of the robot revolution - Silicon Valley Robotics. By Andra Keay · Over 10,000 subscribers Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Not right now thanks “Andra Keay does a lot of work describing how the development of robotics will shape our future. Her weekly posts are detailed and meticulously written.”...” “Andra Keay does a lot of work describing how the development of robotics…
8:00 PM ET
Google
$GOOGL
8:00 PM ETGoogle
Introducing Agentic Video in Gemini
Introducing agentic video understanding with Gemini Sep 01, 2026 \| 7 min read - x.com - Facebook - LinkedIn - Mail - Copy link Our new agentic feature for video analysis cuts token consumption by up to 88%, reduces costs by up to 66%, and boosts quality by up to 7%. Rohan Doshi Senior Product Manager, Google DeepMind Mario Lučić Research Director, Google DeepMind Share - x.com - Facebook - LinkedIn - Mail - Copy link Your browser does not support the audio element. Listen to article \[\[duration\]\] minutes This content is generated by Google AI. Generative AI is experimental…
6:19 PM ET
PAPerceptron AI
6:19 PM ETPAPerceptron AI
@techniahqrobot on X
A 36B parameter model just blurred one of robotics’ biggest boundaries, the gap between seeing a scene and acting on it. Perceptron AI has released Isaac 0.5, an open-weight Embodied AI model designed to use one backbone to understand video, reason about a physical task, and generate robot actions. One model connecting perception, reasoning, and robot control. @perceptroninc
5:45 PM ET
Nvidia
$NVDA
5:45 PM ETNvidia
@a16z on X
Gavin Baker says the future for the world's biggest companies is open models and private context: "I think the future is an ensemble of models. There's a Pareto curve. No one model is going to be the best at everything." "For the global 1,000 biggest companies, you're going to take whatever the best open-source model is. I think probably in the very near future, that's going to be an Nvidia model." "Everybody says 'Well, in a world where open-source wins, who funds the training?' Chip companies can fund the training." "It's trivial to do a $50 to $100 billion training run for Jensen, but I do…
5:21 PM ET
@pstAsiatech
5:21 PM ET@pstAsiatech
国家发改委：加速具身智能在制造、医疗等领域真实场景中落地应用_财经上下游_澎湃新闻-The Paper
Seven ports are used to connect other NPUs on the same tray over flyover cables. Seven ports connect across trays in the intra-rack 2D mesh over the backplane allowing each NPU0 to connect to all the other corresponding NPU0 within the rack. This leaves the remaining 4 ports to connect to a network of low-radix-switches in the backplane for further intra-rack connectivity. (2/4)
5:00 PM ET
SCSchaeffler
5:00 PM ETSCSchaeffler
The hardest problem in physical AI may be the magnet, not the model
Skip to content AI Learning and Artificial Intelligence Credit: Canva Actuators account for 40% to 60% of a humanoid robot’s bill of materials and China refines roughly 90% of the rare earth magnets inside them, which makes the components rather than the models the limit on scale. Europe has a 2030 cap on single country supply under the Critical Raw Materials Act, and one company, Schaeffler, building the actuators at volume. The hardest problem in physical AI is not the AI. Actuators are in short supply from a small pool of qualified manufacturers, and new capacity takes years, not quarters,…
5:00 PM ET
TUThe University of Hong Kong
5:00 PM ETTUThe University of Hong Kong
The Imitator Game — Benchmarking Robot Imitative Ability Beyond Action Prediction
Intent imitation, L0-L320,000+ paired episodesHuman evaluation Arena The Imitator Game BenchmarkingRobotImitativeAbilityBeyondActionPrediction Xunzhe Zhou 1,2,\,† · Yiyang Cai 2,3,\ · Fengyi Wang 2,3,\ · Ran Ju 1,2,\ · Hanxiang Ren 2,4 · Ruizhe Liu 1 Yu Zhang 1 · Qian Luo 1,2 · Feng Chen 1 · Pei Zhou 1,2 · Yi Ma 1,2 · Yanchao Yang 1,2,‡ 1The University of Hong Kong · 2TranscEngram · 3Fudan University · 4Zhejiang University \\ Equal contribution · † Project lead · ‡ Corresponding author Can a robot imitate what a human intends — not just what they do? We widen the gap between the demonstration…
2:33 PM ET
Figure
2:33 PM ETFigure
@Astra1Byte on X
Four years ago, Figure didn’t have a robot. Today it’s valued at $39B and has already shipped 1,000+ humanoids. CEO Brett Adcock says the real advantage isn’t the AI it’s that hardware, models, and manufacturing all sit under one roof, one campus, no outsourcing. Robots already deployed at BMW. Production line running. The question nobody’s asking loud enough: when the entire stack brain, body, and factory belongs to one company, how fast can this actually scale once the failure rate drops?
2:01 PM ET
NVIDIA
$NVDA
2:01 PM ETNVIDIA
NVIDIA's robot business is already worth $10 billion/year, and China is its best customer | HumanoidHub
News/ trends,china,usa,physical\ai,hardware,government trends,china,usa,physical\ai,hardware,government NVIDIA's robot business is already worth $10 billion/year, and China is its best customer John KoetsierAugust 31, 2026 NVIDIA's physical AI business is already generating roughly $10 billion a year, more than the entire humanoid robot industry combined, with Jensen Huang pointing to a tenfold path over the next decade. A meaningful share of that comes from China, which built about 90% of the world's humanoids last year. But Beijing is racing to build a domestic stack ... Talk about picks…
1:48 PM ET
ANAnthropic
1:48 PM ETANAnthropic
Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization - Humanoid Analytics
Close Menu - Companies - Company Tracker - Deployment Tracker - Funding Tracker - Deployments - Technology - Funding - Markets - Our Services X (Twitter) Mastodon LinkedIn Switch to Dark Design - easier on eyes.Switch to Light Design. Search Switch to Dark Design - easier on eyes.Switch to Light Design. Search Technology Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization The physical world will remain unpredictable, but common machine-readable contracts for sensors, actuators, state and safety could reduce the integration burden facing general-purpose…
1:48 PM ET
ANAnthropic
1:48 PM ETANAnthropic
Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization - Humanoid Analytics
Close Menu - Companies - Company Tracker - Deployment Tracker - Funding Tracker - Deployments - Technology - Funding - Markets - Our Services X (Twitter) Mastodon LinkedIn Switch to Dark Design - easier on eyes.Switch to Light Design. Search Switch to Dark Design - easier on eyes.Switch to Light Design. Search Technology Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization The physical world will remain unpredictable, but common machine-readable contracts for sensors, actuators, state and safety could reduce the integration burden facing general-purpose…
1:39 PM ET
@NVIDIARobotics
1:39 PM ET@NVIDIARobotics
Optimize Models with Unsloth | Jetson AI Lab
🎉 Welcome to Jetson AI Lab 2.0! We've redesigned the site with curated tutorials. Looking for old content? Browse the archive → × Back to Tutorials Optimize Models with Unsloth Fine-tune, convert and deploy language models on NVIDIA Jetson with Unsloth and llama.cpp. Author Aditya Sahu Fine-tune and deploy language models directly on NVIDIA Jetson with Unsloth and JetPack 7.2. This tutorial uses memory-efficient QLoRA, exports the results to GGUF, and runs them locally. Two practical examples cover Qwen3.5-4B on Jetson Orin Nano and NVIDIA Nemotron 3.5 Lightning 30B-A3B on Jetson AGX Thor.…
1:21 PM ET
Unitree
1:21 PM ETUnitree
@techniahqrobot on X
Unitree just started Olly’s pre-employment internship in the real world 😅 And day one already looks like a proper probation period. It can answer train questions, find exits and walk with passengers inside Singapore’s Little India MRT, but station noise already caused it to mishear Tekka Centre as Teacher’s Centre and give the wrong directions. A useful reminder that real-world deployment is much harder . Source: CNA / Land Transport Authority Singapore
1:19 PM ET
SMSMRT
1:19 PM ETSMSMRT
@fieldai_ on X
A FieldAI-powered robot, pictured with Singapore's Minister for Transport Jeffrey Siow at @SMRT_Singapore's Gali Batu Bus Depot. It patrols autonomously with infrared sensing, checking buses and EV charging bays for abnormal heat so the safety team gets an early warning instead of an incident. Congratulations to SMRT on the launch of their new Mobility Command and Control Centre.
I think the Unitree IPO was obviously overhyped (well, except to whoever bought it at $60B). It’s down to a more manageable ~$30B now, which is still extremely pricey. I wonder what this means for the eventual trading of @AGIBOTofficial, which should be next in line for an IPO. (If the volatility is extreme or the growth disappoints, I think the IPO will be delayed, frankly.) Unlike Unitree, which has major gaps, particularly in software, Agibot was conceived from the beginning as a full-stack robotics company. And despite deliberately not specializing, it has been surprisingly strong across…
12:41 PM ET
TEtechnia
12:41 PM ETTEtechnia
@techniahqrobot on X
Humanoid robotics has its own language. Here are 30 acronyms you will see constantly API = Application Programming Interface BC = Behavior Cloning CoM = Center of Mass CoP = Center of Pressure DoF = Degrees of Freedom DRL = Deep Reinforcement Learning F/T = Force/Torque FK = Forward Kinematics GRF = Ground Reaction Force HIL = Hardware-in-the-Loop HRC = Human-Robot Collaboration HRI = Human-Robot Interaction IK = Inverse Kinematics IL = Imitation Learning IMU = Inertial Measurement Unit LiDAR = Light Detection and Ranging LLM = Large Language Model MPC = Model Predictive Control RGB-D = RGB +…
12:35 PM ET
UNUnitreeRobotics
12:35 PM ETUNUnitreeRobotics
@thehypedotnews on X
unitree robots now build themselves – and train while doing it @UnitreeRobotics deployed its embodied ai model inside its own factory in china. the robots aren't repeating pre-programmed movements – they perceive the environment, understand the task and perform real manufacturing operations on the production line. this isn't just production, it's also a data engine – every task the robots perform on the line generates real-world motion data that trains the next generation of models. the factory is both the product and the training ground. unitree shipped 5,500 humanoid robots in 2025 – more…
12:31 PM ET
RURunway
12:31 PM ETRURunway
Runway on X: "Today, we're sharing new research on Solaris, our first Interface World Model.
Solaris is a new kind of operating system that generates interactive interfaces frame by frame, in real time, with no code. We find that Solaris outperforms frontier LLMs when generating new interfaces, ac… / X
Post Log in Sign up Post Runway on X: "Today, we're sharing new research on Solaris, our first Interface World Model. Solaris is a new kind of operating system that generates interactive interfaces frame by frame, in real time, with no code. We find that Solaris outperforms frontier LLMs when generating new interfaces, across structural similarity and information retention. Read more and request early access at the link below." - Runway @runwayml Today, we're sharing new research on Solaris, our first Interface World Model. Solaris is a new kind of operating system that generates interactive…
12:22 PM ET
@0xconglomerate
12:22 PM ET@0xconglomerate
@0xconglomerate on X
@LeggedRobot @ROBOTIS Looking forward to the next update! Hehe would be fun to have a Mini Pupper that I could play with and make content on, eh? 😅👀
12:05 PM ET
Fourier Intelligence
12:05 PM ETFourier Intelligence
@rich_odinn on X
SoftBank dropped $200,000,000 on this company - and this 15-second interaction proves why Shanghai-based Fourier Intelligence deployed their $125,000 GR-1 humanoid onto public transit to assist an elderly citizen. This isn't CGI, it's live physical AI targeting a massive eldercare crisis. 3 high-octane truths behind this clip: Sub-Gram Force Feedback: Supporting a fragile arm without injury requires real-time tactile compliance, recalculating grip pressure millions of times per second. SoftBank & Aramco Backed: Fourier raised over $200M to build autonomous care-bots before global birth rates…
11:32 AM ET
@frontrunvc
11:32 AM ET@frontrunvc
@frontrunvc on X
EARLY: 5 @ycombinator fall cohort companies across Compute, Energy, Hardware and DevTools. 👇 @nodussss - 1 follower - (Compute): the first intelligent execution layer for ai workloads. founders: @viswa_kotra @pvarshh @runmirrors - 17 followers - (DevTools): staging environments for ai agents. replay real sessions to catch regressions before they ship. founder: @ai_singhal @invertixlabs - 33 followers - (Energy): building energy superintelligence. ai that operates and scales energy infrastructure. founder: @Josephperrotta_ @visiblsemi - 79 followers - (Hardware): a faster path to custom…
10:10 AM ET
@Thom_Wolf
10:10 AM ET@Thom_Wolf
@Thom_Wolf on X
People don't realize it, but even with only 1 GB of RAM, the memory alone is already 10–15% of Microduck's total price. Crazy when you consider there are 15 actuators in the robot.
9:25 AM ET
VAVeeda AI
9:25 AM ETVAVeeda AI
Veeda AI Raises $90M Seed to Build "The Matrix" for Physical AI - WOWTALE
Skip to content - AI - · - Funding - · - Robotics Veeda AI Raises $90M Seed to Build “The Matrix” for Physical AI 8/31/2026 ・ 버섯돌이(Taehyun Kim) Training a robot to master a new motion takes thousands of trial-and-error attempts. The trouble is doing that training in the real world at all — robotic hardware doesn’t scale like compute, a single bad move can cause real physical harm, and real-world experience can’t be compressed or run in parallel. A startup betting it can solve that bottleneck with simulation just closed one of the largest seed rounds a Canadian company has ever raised.…
9:25 AM ET
VAVeeda AI
9:25 AM ETVAVeeda AI
Veeda AI Raises $90M Seed to Build "The Matrix" for Physical AI - WOWTALE
Skip to content - AI - · - Funding - · - Robotics Veeda AI Raises $90M Seed to Build “The Matrix” for Physical AI 8/31/2026 ・ 버섯돌이(Taehyun Kim) Training a robot to master a new motion takes thousands of trial-and-error attempts. The trouble is doing that training in the real world at all — robotic hardware doesn’t scale like compute, a single bad move can cause real physical harm, and real-world experience can’t be compressed or run in parallel. A startup betting it can solve that bottleneck with simulation just closed one of the largest seed rounds a Canadian company has ever raised.…
Skip to content You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert {{ message }} Uh oh! There was an error while loading. Please reload this page. hku-sail/ StreamPI Public - Notifications You must be signed in to change notification settings - Fork\\ 4 - Star\\ 161 main 1 Branch 0 Tags Go to Branches pageGo to Tags page Go to file Code Open more actions menu Latest commit happinesslz add multi-node training…
8:57 AM ET
MRMilk Road Pro
8:57 AM ETMRMilk Road Pro
@MelvinInvests on X
The next memory supercycle is hiding inside humanoid robots (Save this). This chart estimates that each humanoid robot could contain $600–$800 or more in memory related and semiconductor components, including DRAM, HBM, NAND flash, sensors, communication chips, and other devices. If manufacturers eventually produce 1 million humanoid robots, that could represent approximately $600 million–$800 million in memory content, while 10 million robots could create a $6 billion–$8 billion opportunity. However, the larger opportunity may come from the data centers that train these robots and process…
8:34 AM ET
VIVisiveAI
8:34 AM ETVIVisiveAI
VisiveAI on X: "One brain. For any robot. 🤖 We’re launching Gemini Robotics 2: our next-generation physical AI bringing full body intelligence...
via @GoogleDeepMind
#AI #LLM #MachineLearning #ChatGPT #GenerativeAI" / X
Post Log in Sign up Post VisiveAI on X: "One brain. For any robot. 🤖 We’re launching Gemini Robotics 2: our next-generation physical AI bringing full body intelligence... via @GoogleDeepMind \#AI \#LLM \#MachineLearning \#ChatGPT \#GenerativeAI" - VisiveAI @VisiveAI One brain. For any robot. 🤖 We’re launching Gemini Robotics 2: our next-generation physical AI bringing full body intelligence... via @GoogleDeepMind #AI #LLM #MachineLearning #ChatGPT #GenerativeAI 00:00 View media 8:34 AM · Aug 31, 202650Views Reply Scan to get the app
8:24 AM ET
Figure
8:24 AM ETFigure
Biti8 on X: "Four years ago, @Figure_robot didn’t even have a robot.
Today, it’s valued at $39B, has built 1,000+ humanoids, deployed robots at BMW, built its own AI models, manufacturing infrastructure and a global data collection network.
What impresses me most is the speed.
Figure isn’t build… / X
Post Log in Sign up Post Biti8 on X: "Four years ago, @Figure\robot didn’t even have a robot. Today, it’s valued at $39B, has built 1,000+ humanoids, deployed robots at BMW, built its own AI models, manufacturing infrastructure and a global data collection network. What impresses me most is the speed. Figure isn’t building just a robot. It’s building the entire stack at the same time: hardware, AI, data, factories and real-world deployments. And now Figure 04 is already on the way. Four years later, much of the humanoid industry is being measured against what @adcock\brett and the Figure team…
8:02 AM ET
Agility Robotics
8:02 AM ETAgility Robotics
Oregon robotics company says the industry needs a reality check: ‘I really want to pop that bubble’ - oregonlive.com
Skip to Article The $1 Sale is Here! Labor Day Savings End on 9/9/26 Close By - Mike Rogoway \| The Oregonian/OregonLive The internet is full of videos of robots running races, doing backflips, dancing and playing soccer. Doing real work, though? Jonathan Hurst says that’s harder than it looks. He’s co-founder of Agility Robotics, the Salem company that makes Digit — the rare humanoid robot with an actual job. Standing 5 feet, 9 inches tall, Digit works in warehouses and factories, lifting and stacking heavy boxes. The oregonlive.com logo A subscription is required to read this story.…
7:05 AM ET
Boston Dynamics
7:05 AM ETBoston Dynamics
@clavion95 on X
THIS ISN’T A ROBOT LEARNING TO DANCE. IT’S A ROBOT LEARNING HOW TO CONTROL ITS ENTIRE BODY. Walk. Run. Crawl. Roll. Handstand. Cartwheel. Then get back up and keep moving. Boston Dynamics trained Atlas using reinforcement learning, with human motion capture and animation as references. The flashy part is the acrobatics. That’s not the important part. The important part is everything happening between them. Accelerate. Decelerate. Shift balance. Drop to the floor. Recover from an awkward position. Reorient the body. Keep moving. Humans solve these problems without thinking. For a humanoid,…
6:51 AM ET
@ParadisLabs
6:51 AM ET@ParadisLabs
@ParadisLabs on X
Bro...this GS humanoid report is mega bullish for semis. - Humanoid TAM forecast increased by ~5x. - Which is an even better commercial opportunity for semis / precision components such as power semis and memory. One interesting takeaway from the report is that there are stricter energy efficiency requirements incoming. In turn, these requirements will increase the density for higher priced GaN/SiC components. The sheer length of the physical AI cycle (including humanoids) will surely be a massive growth driver for semis on top of data center applications...
5:11 AM ET
Figure
5:11 AM ETFigure
JD.com, Inc.
Authentic Products Delivered Today \\ AI-Powered, ESG-Embedded Industrial Supply Chain Innovation Earns JINGDONG Industrials 2026 Sedex Technoical Innovation Award \\ \\ BEIJING, 27 August 2026 — JINGDONG Industrials, a leading industrial supply chain technology and service provider under JD.com, has won the Technical Innovation Award among the 2026 Sedex Supply Chain Awards, recognising its use of AI and technical solutions to embed ESG capabilities into industrial supply chain operations. The company was also nominated for the Social Impact Award. JINGDONG Industrials was the only…
5:05 AM ET
ARAxis Robotics
5:05 AM ETARAxis Robotics
@GabrielnSpace on X
i thought community robot data would hit diminishing returns fast but Axis Dataset V1 just made that take look stupid @axisrobotics pushed π0.5 from 83.9% to 88.8% on LIBERO Plus, and performance kept climbing as training data scaled from 25% to 100% with no obvious saturation 3m trajectories later the crowd is starting to look less like users and more like a distributed robotics lab #PhysicalAI
4:00 AM ET
Figure
4:00 AM ETFigure
How Figure Became the Biggest Name in Robotics | XMAQUINA DAO
Genesis Auction Wave 2! Launches June 24 Get DEUS homeDAO Portal How Figure Became the Biggest Name in Robotics Color theme: Four years, three generations of humanoids, a $39 billion valuation and now one of the largest physical AI data engines ever built. .png) August 27, 2026 Category: Physical AI Read time: 9 minutes Share This: Four years ago, Figure didn’t have a robot. Today, the company is valued at $39 billion, has built more than 1,000 humanoids, has robots working inside BMW, is preparing deployments with another major US retailer, and has developed its own AI models, manufacturing…
3:51 AM ET
Physical Intelligence
3:51 AM ETPhysical Intelligence
[2604.15483] $π_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
Skip to main content Search arXiv Press Enter to search · Advanced search Computer Science > Machine Learning arXiv:2604.15483 (cs) \Submitted on 16 Apr 2026 ( [v1), last revised 24 Apr 2026 (this version, v2)\] Title:π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities Authors: Physical Intelligence, Bo Ai, Ali Amin, Raichelle Aniceto, Ashwin Balakrishna, Greg Balke, Kevin Black, George Bokinsky, Shihao Cao, Thomas Charbonnier, Vedant Choudhary, Foster Collins, Ken Conley, Grace Connors, James Darpinian, Karan Dhabalia, Maitrayee Dhaka, Jared DiCarlo, Danny…
2:53 AM ET
XPXPeng
2:53 AM ETXPXPeng
@Tanminhday on X
🤖 Something is changing in Physical AI. For years, humanoid robots were mostly about impressive demos. This week feels different. $900M+ raised by XPeng’s robotics business. Figure committing over $1B to data and compute. Hyundai preparing large-scale robot manufacturing in the U.S. Agility’s Digit already accumulating 65,000+ hours of real-world operation. And new data engines are emerging to feed the next generation of physical intelligence. The important part isn’t any single announcement. It’s the direction. Robots are moving from prototypes → products → infrastructure. And once…
2:31 AM ET
MGMinth Group
2:31 AM ETMGMinth Group
Minth Group Launches Europe’s First Mass Production of Humanoid Robots
VESTI Poslednje vesti Jiangsu Reliance Energy Tech: 100,5 miliona ... Aug 31, 2026 Minth Group pokrenuo prvu serijsku ... Aug 29, 2026 RAS: Snažnija ekonomska saradnja ... Aug 26, 2026 Otvoren Javni poziv za srpske ... Aug 10, 2026 Investiciona misija u Šandongu i ... Jul 16, 2026 Srpske IT kompanije ostvarile zapaž... Jul 07, 2026 Novi poslovni kontakti za srpske ... Jun 30, 2026 Mentori iz cele Srbije okupili ... Jun 25, 2026 Minth Group Launches Europe’s First Mass Production of Humanoid Robots Aug 29, 2026 Šabac to become a European production base for mass-produced humanoid robots…
12:25 AM ET
SASanctuary AI
12:25 AM ETSASanctuary AI
Physical AI Platform | Industrial Automation Solutions | Sanctuary AI
We value your privacy We use cookies to enhance your browsing experience, serve personalised ads or content, and analyse our traffic. By clicking "Accept All", you consent to our use of cookies. CustomiseReject AllAccept All Customise Consent Preferences We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below. The cookies that are categorised as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... Show more…
11:59 PM ET
Boston Dynamics
11:59 PM ETBoston Dynamics
Deepnewsai on X: "Atlas just carried a loaded refrigerator.
Boston Dynamics’ humanoid robot uses real-time AI control to balance, adjust its posture, and handle heavy loads.
Source: X/BostonDynamics
Follow @deepnewsai for more AI updates.
#PhysicalAI #Robotics #Humanoid #AI" / X
Post Log in Sign up Post Deepnewsai on X: "Atlas just carried a loaded refrigerator. Boston Dynamics’ humanoid robot uses real-time AI control to balance, adjust its posture, and handle heavy loads. Source: X/BostonDynamics Follow @deepnewsai for more AI updates. \#PhysicalAI \#Robotics \#Humanoid \#AI" - Deepnewsai @deepnewsai Atlas just carried a loaded refrigerator. Boston Dynamics’ humanoid robot uses real-time AI control to balance, adjust its posture, and handle heavy loads. Source: X/BostonDynamics Follow @deepnewsai for more AI updates. #PhysicalAI #Robotics #Humanoid #AI 00:00 View…
8:00 PM ET
Google
$GOOGL
8:00 PM ETGoogle
Gemini Robotics ER 1.6 shutdown date Aug 31, 2026; replacement ER 2
Google Developers Gemini API deprecations page, Robotics models table (page last updated 2026-08-27 UTC; shutdown date in the table is in-window): gemini-robotics-er-1.6-preview released April 14, 2026, shutdown date August 31, 2026, recommended replacement gemini-robotics-er-2-preview. Older gemini-robotics-er-1.5-preview listed shutdown April 30, 2026. Companion overview (ai.google.dev/gemini-api/docs/robotics-overview, scraped Sep 1) says upgrade by replacing model='gemini-robotics-er-1.6-preview' with gemini-robotics-er-2-preview or gemini-robotics-er-2-streaming-preview; ER 1.6 'will be shut down at the end of August.' Pricing page (same scrape): ER 2 Preview paid $2.00 input / $10.00 output per 1M tokens (text/image/video/audio); batch $1.00 / $5.00; ER 2 Streaming $2.00 / $10.00; ER 1.6 Preview $1.00 input ($2.00 audio) / $5.00 output. This is an API lifecycle event, not a factory-hours print. Gemini Robotics 2 VLA launch itself was July 30, 2026 (Hassabis) — outside.
8:00 PM ET
Skild AI
8:00 PM ETSkild AI
Skild AI unveils S1 robot foundation model; ~$1.7B raised
Brianna Wessling / The Robot Report (Firecrawl dated ~5 hours before Aug 31 evening): Skild AI unveiled S1, flagship robot foundation model. Company founded 2023 has raised nearly $1.7 billion. CEO Deepak Pathak: model uses in-context learning — add a video of a human doing a task in the prompt and the robot can follow; tasks shown are long-horizon, not 3-4 second demos; targeting tasks up to 10 minutes (repotting, coffee, pancakes). Omni-bodied (quadruped, humanoid, static arm); humanoid scale still pending. Pathak: coming weeks will show S1 helping in production; Fetch Robotics asset acquisition (from Zebra) is about deployment talent. Does not claim a ChatGPT moment yet.
7:11 PM ET
SCSequoia Capital
7:11 PM ETSCSequoia Capital
@davidcao01 on X
Fifteen years after "software is eating the world," Marc Andreessen's own firm just admitted atoms are eating software's margins. SUMMARY This is not an a16z story. a16z's $1.1B Machine Age Fund is simply the loudest confirmation yet of a rotation already underway across Silicon Valley's largest pools of capital — Sequoia Capital , Lightspeed , General Catalyst , and SoftBank have all made comparable moves in 2026. Global venture funding into physical AI hit $47.4B across 521 deals in H1 2026 — nearly 4x the prior half. For builders and investors in robotics, autonomous systems, and…
7:11 PM ET
Skild AI
7:11 PM ETSkild AI
@Robot_AIsignals on X
Show it once. That is the entire instruction. In a post published in August, Skild AI introduced S1, a robotics foundation model prompted with a video demonstration in place of a written command. The company says the same frozen weights then performed four tasks absent from its pre-training — potting a plant, cooking pancakes, brewing pour-over coffee, assembling a kit. Skild builds Skild Brain, which it calls the first unified robotics foundation model to generalise across both tasks and robot hardware. It raised $1.4bn in January at a valuation the company puts above $14 billion (company…
4:06 PM ET
Figure
4:06 PM ETFigure
@Robot_AIsignals on X
The robot industry's data shortage just became a gig job. On 25 August Figure launched Index, an app that pays people by the minute to film themselves doing ordinary household and workplace tasks. That footage trains Helix, the AI stack running its humanoid. Figure builds the Figure 03 humanoid and the Helix system inside it, and says its Series C exceeded $1B at a $39 billion post-money valuation (company claim). Figure says Index has taken 16 million uploads from 108 countries, ingests roughly 30 minutes of footage every second, carries 44,000+ weekly active contributors and has paid out…
1:18 PM ET
CRClone Robotics
1:18 PM ETCRClone Robotics
VisiveAI on X: "Clone Unveils First Bimanual Torso with Fully Actuated Human-Like Upper Body
via @clonerobotics
#AI #Robotics #HumanoidRobots #PhysicalAI #Innovation" / X
Post Log in Sign up Post VisiveAI on X: "Clone Unveils First Bimanual Torso with Fully Actuated Human-Like Upper Body via @clonerobotics \#AI \#Robotics \#HumanoidRobots \#PhysicalAI \#Innovation" - VisiveAI @VisiveAI Clone Unveils First Bimanual Torso with Fully Actuated Human-Like Upper Body via @clonerobotics #AI #Robotics #HumanoidRobots #PhysicalAI #Innovation 00:00 View media 1:18 PM · Aug 30, 202663Views Reply
1:00 PM ET
GAGalbotRobotics
1:00 PM ETGAGalbotRobotics
@ctorobotics on X
Humanoid robots just took tennis to another level. 🎾🤖 Galbot robots completed 100+ consecutive rallies at the World Humanoid Robot Games 2026 while tracking the ball, moving around the court and responding in real time. This is not just about hitting a tennis ball. It combines vision, prediction, balance, whole-body control and real-time decision making. Would you play against a humanoid robot? 👀 🎥 Media: @GalbotRobotics ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the…
12:10 PM ET
Tesla
$TSLA
12:10 PM ETTesla
kasper on X: "Elon Musk was asked when Tesla Optimus could become better than the best human surgeons.
His argument is that a robot would not learn like one doctor. Every Optimus surgeon could share what every other unit had seen, including rare complications that a human might encounter only once… / X
Post Log in Sign up Post kasper on X: "Elon Musk was asked when Tesla Optimus could become better than the best human surgeons. His argument is that a robot would not learn like one doctor. Every Optimus surgeon could share what every other unit had seen, including rare complications that a human might encounter only once in an entire career. That could make expert care available in places where finding a specialist is difficult or impossible. It also raises a question almost everyone can understand. When your life is on the line, do you trust the experienced human standing beside you, or the…
11:33 AM ET
@GoingBallistic5
11:33 AM ET@GoingBallistic5
@GoingBallistic5 on X
Eric gets the essence of the challenge Any remote controlled humanoid today could muddle through most or all the events, albeit with low scores But if asked to do it completely autonomously with the same degree of independence and responsibility of a young athlete most would fail It’s measuring the whole stack to gauge fitness to enter society or the labor force
10:05 AM ET
VIVisiveAI
10:05 AM ETVIVisiveAI
VisiveAI on X: "Teamwork makes the dream work. To test multi-robot collaboration with Gemini Robotics 2, we challenged our Apollo and Duo robo...
via @GoogleDeepMind
#AI #LLM #MachineLearning #ChatGPT #GenerativeAI" / X
Post Log in Sign up Post VisiveAI on X: "Teamwork makes the dream work. To test multi-robot collaboration with Gemini Robotics 2, we challenged our Apollo and Duo robo... via @GoogleDeepMind \#AI \#LLM \#MachineLearning \#ChatGPT \#GenerativeAI" - VisiveAI @VisiveAI Teamwork makes the dream work. To test multi-robot collaboration with Gemini Robotics 2, we challenged our Apollo and Duo robo... via @GoogleDeepMind #AI #LLM #MachineLearning #ChatGPT #GenerativeAI 00:00 View media 10:05 AM · Aug 30, 202646Views Reply Scan to get the app
8:06 AM ET
VIVisiveAI
8:06 AM ETVIVisiveAI
VisiveAI on X: "Welcome to Robot Park, where we’re building the future with Apollo 2. Robot Park is where Apollo learns today, getting the expe...
via @Apptronik
#AI #Robotics #HumanoidRobots #PhysicalAI #Innovation" / X
Post Log in Sign up Post VisiveAI on X: "Welcome to Robot Park, where we’re building the future with Apollo 2. Robot Park is where Apollo learns today, getting the expe... via @Apptronik \#AI \#Robotics \#HumanoidRobots \#PhysicalAI \#Innovation" - VisiveAI @VisiveAI Welcome to Robot Park, where we’re building the future with Apollo 2. Robot Park is where Apollo learns today, getting the expe... via @Apptronik #AI #Robotics #HumanoidRobots #PhysicalAI #Innovation View media 8:06 AM · Aug 30, 2026188Views Reply 1 2 Scan to get the app
7:01 AM ET
SASanctuary AI
7:01 AM ETSASanctuary AI
Sanctuary AI puts humanoid tech on industrial robots
Skip to content Sanctuary AI has deployed technology developed alongside its Phoenix humanoid on an industrial wire insertion task, reporting a success rate above 99.5% and a 2.54 second cycle time. The trial used robotic hands rather than a complete humanoid to insert flexible wired plugs into moving targets on a live conveyor at a global Tier 1 automotive supplier. The result came from 313 insertion trials conducted over 40 minutes, CEO Daniel Friedmann told Forbes. Sanctuary calculated the success rate by comparing successful and unsuccessful insertions. Friedmann said the cycle time was…
8:00 PM ET
Figure
8:00 PM ETFigure
Figure Index + BMW hours: 1,250 factory hours; Index 16M videos / $15M paid
Luke Lango / InvestorPlace (dated Aug 2026; Firecrawl news dated it ~1 day before Aug 31): Cites JPMorgan: humanoid operating cost ~$10-$12/hour vs ~$30 human factory labor; currently ~2 humanoids to match one human; capable humanoid ~$120,000. BMW Spartanburg: over a 10-month deployment Figure 02 supported production of more than 30,000 BMW X3 vehicles, moved over 90,000 components, logged roughly 1,250 hours of real factory work. BMW has brought Figure 03 into the same plant for kitting unsorted components. Figure Index: contributors in >100 countries uploaded over 16 million videos; Figure paid contributors $15 million and says it plans to spend more than $1 billion on data and computing over the next year (company-reported). Hyundai: as many as 30,000 Boston Dynamics Atlas robots annually by 2028. Names Apptronik, Agility, 1X as competing private startups.
6:18 PM ET
Tesla
$TSLA
6:18 PM ETTesla
@davidcao01 on X
The Supply Chain Shortage for UxV and Robots: Who Is Filling the Gap? Top 20 Components to Watch | New suppliers from Mexico, Taiwan, Japan, Korean | The VC and Entrepreneurs Angle Two weeks apart, two separate US policy actions closed off the low-cost path into American drone and robotics hardware. July 28, the FCC added foreign-made "advanced robotic devices" — humanoids, quadrupeds — to its Covered List, blocking new authorizations. August 13, the White House used Section 232 to impose tariffs of up to 100% on Chinese-made drones and their components.📷 Neither move is really about drones…
3:02 PM ET
Tesla
$TSLA
3:02 PM ETTesla
mete on X: "EV makers building humanoids
🇺🇸 Tesla | Optimus
🇨🇳 XPENG | IRON
🇨🇳 BYD | Xiao Di
🇨🇳 CHERY | Mornine
They already build batteries, motors & AI.
Humanoids reuse same industrial stack.
That’s how they’re able to move so fast." / X
Post Log in Sign up Post mete on X: "EV makers building humanoids 🇺🇸 Tesla \| Optimus 🇨🇳 XPENG \| IRON 🇨🇳 BYD \| Xiao Di 🇨🇳 CHERY \| Mornine They already build batteries, motors & AI. Humanoids reuse same industrial stack. That’s how they’re able to move so fast." - mete @VaderResearch EV makers building humanoids 🇺🇸 Tesla \| Optimus 🇨🇳 XPENG \| IRON 🇨🇳 BYD \| Xiao Di 🇨🇳 CHERY \| Mornine They already build batteries, motors & AI. Humanoids reuse same industrial stack. That’s how they’re able to move so fast. View media 3:02 PM · Aug 29, 20268.2KViews 8 3 29 9 - 夕凡的撸毛之路…
2:22 PM ET
THTheSanctuaryAI
2:22 PM ETTHTheSanctuaryAI
John Koetsier on X: "What if you have ...
- great physical AI
- amazing hands
But ... your humanoid robot isn't production ready? And ... you think industrial automation needs hands, arms, etc in addition to full humanoids?
@TheSanctuaryAI decided to offer brains and hands, not just bodies." / X
Post Log in Sign up Post John Koetsier on X: "What if you have ... \- great physical AI \- amazing hands But ... your humanoid robot isn't production ready? And ... you think industrial automation needs hands, arms, etc in addition to full humanoids? @TheSanctuaryAI decided to offer brains and hands, not just bodies." - John Koetsier @johnkoetsier What if you have ... \- great physical AI \- amazing hands But ... your humanoid robot isn't production ready? And ... you think industrial automation needs hands, arms, etc in addition to full humanoids? @TheSanctuaryAI decided to offer brains and…
12:34 PM ET
XPXPENG
12:34 PM ETXPXPENG
@techniahqrobot on X
XPENG is putting serious money behind humanoid robotics. Its robotics business just raised more than $900 million, reaching a post-money valuation above $6.3 billion. The round was led by IDG Capital, with Tencent, Alibaba and Gaorong Ventures participating. XPENG founder He Xiaopeng and co-president Brian Gu also invested roughly $100 million personally. The capital will support the development of IRON XPENG’s human-sized humanoid along with robot hardware Physical AI models and training infrastructure. China’s humanoid race is getting much more expensive.
11:00 AM ET
Nvidia
$NVDA
11:00 AM ETNvidia
Nvidia Wants to Run the World’s Robots. China Is an Eager Customer. - WSJ
Skip to Main Content Skip to... Select - What to Read Next - Most Popular News - Most Popular Opinion DJIA\\ \\ 52766.88\\ \\ -0.79% S&P 500\\ \\ 7631.47\\ \\ -0.71% Nasdaq\\ \\ 26099.77\\ \\ -1.03% Russell 2000\\ \\ 2920.13\\ \\ -1.23% U.S. 10 Yr\\ \\ -1/32\\ \\ 4.804% VIX\\ \\ 16.34\\ \\ 9.52% Gold\\ \\ 4378.40\\ \\ -0.41% Bitcoin\\ \\ 77402.94\\ \\ 0.18% Crude Oil\\ \\ 90.77\\ \\ 0.61% Dollar Index\\ \\ 95.91\\ \\ 0.01% KBW Nasdaq Bank Index\\ \\ 183.86\\ \\ -0.84% S&P GSCI Index Spot\\ \\ 735.66\\ \\ 0.17% Advertisement This copy is for your personal, non-commercial use only. Distribution…
9:28 AM ET
@techniahqrobot
9:28 AM ET@techniahqrobot
@techniahqrobot on X
BeyondMimic is now in Science Robotics. Berkeley and Stanford used a Unitree G1 to track human motions like sprinting, spin-kicks and cartwheels, then used guided diffusion to combine those skills for waypoint navigation and obstacle avoidance. mocap is still used for obstacle and waypoint locations, plus some state estimation. Humanoid agility is advancing fast. How much of it still depends on external sensing infrastructure? #HumanoidRobots #Robotics #PhysicalAI
8:02 AM ET
RLRLWRLD_ai
8:02 AM ETRLRLWRLD_ai
Humanoids Summit on X: "Meet Junghee Ryu, Founder and CEO of @RLWRLD_ai at the Humanoids Summit Seoul.
Join the conversation and network with the leaders shaping the future of Physical AI.
Grab your ticket and be part of the conversation.
#HumanoidsSummit #Seoul #Robotics #PhysicalAI" / X
Post Log in Sign up Post Humanoids Summit on X: "Meet Junghee Ryu, Founder and CEO of @RLWRLD\ai at the Humanoids Summit Seoul. Join the conversation and network with the leaders shaping the future of Physical AI. Grab your ticket and be part of the conversation. \#HumanoidsSummit \#Seoul \#Robotics \#PhysicalAI" - Humanoids Summit @HumanoidsSummit Meet Junghee Ryu, Founder and CEO of @RLWRLD\ai at the Humanoids Summit Seoul. Join the conversation and network with the leaders shaping the future of Physical AI. Grab your ticket and be part of the conversation. #HumanoidsSummit #Seoul #Robotics…
6:01 AM ET
HYHyundai
6:01 AM ETHYHyundai
South Korea Commits KRW 2.3 Trillion to Build Full-Stack Humanoid Robotics Ecosystem by 2030 | Humanoids Daily
Search articles Key Takeaways Show all - Dedicated Humanoid Capital: South Korea is investing KRW 2.3 trillion ($1.66 billion) through 2030 to build an indigenous, full-stack humanoid robotics industry, backed by an additional KRW 2.8 trillion ($2.0 billion) for field verification. - Aggressive Localization Targets: The plan seeks to raise domestic localization of core humanoid components from 45% to 80%, transitioning legacy auto parts manufacturers into precision robotics suppliers. - State Procurement Pipeline: The government will purchase 1,080 humanoid robots and roughly 5,000 total…
5:43 AM ET
@realgalleryx
5:43 AM ET@realgalleryx
@realgalleryx on X
서랍이 안 열리자 수저를 오븐에 넣었다. Physical Intelligence를 만든 Sergey Levine이 Ryan Peterman 앞에서 말한 평가 장면이다. 모델은 π0.5다. 주방에서 수저를 넣으라고 했는데 서랍이 안 열렸다. 옆에 오븐이 있으니 그걸 열고 넣기 시작했다. 아이한테 치우라고 하면, 안 보이게만 넣기도 한다는 것이다. 접시 닦기도 그랬다. 회색, 초록, 하나를 떨어뜨리자 본체가 그 위로 가서 가렸다. 그리고 메모에는 회색 접시는 닦았다고 적혀 있었다. 예전 로봇 실수는 말이 안 되는 버그였다. 지금은 애가 하는 실수다. 이제 자라기만 하면 된다고 했다. 데모가 사람처럼 보일수록, 사람처럼 숨기는지도 같이 보면 된다.
3:26 AM ET
A1A16z
3:26 AM ETA1A16z
@VaderResearch on X
A16z just announced a $1.1bn fund to invest in US manufacturing & physical AI US must build its own hardware to compete with Chinese robotics. There is no way around. Having visited WRC, Robot Games and offices of robotics companies in China, I can personally attest that the gap is large but its not impossible to close it. You can buy small humanoids for as cheap as $3k in China. Maybe not useful for industrial tasks but good for r&d, universities and children. Price offered to overseas typically has a 100% premium. Great article by @randallmbriggs
11:06 PM ET
@SongShuran
11:06 PM ET@SongShuran
@SongShuran on X
Naively finetuning a generalist policy on a new task often just turns it into a specialist: it forgets all the tasks it was trained on before. 🥲 This happens regardless of whether the base policy is large or small (e.g., VLA or diffusion policy). So, how to actually get the continual learning without forgetting? You need to find the "memory anchors" and train with them! Check out @du_maximilian's 🧵👇
11:00 PM ET
Google DeepMind
$GOOGL
11:00 PM ETGoogle DeepMind
Gemini Robotics 2 brings whole body intelligence to robots - YouTube
Error 401 (Bad Request)!!1 401. That’s an error. The server cannot process the request because it is malformed. It should not be retried. That’s all we know. Back Skip navigation Search Search with your voice Sign in Gemini Robotics 2 brings whole body intelligence to robots Tap to unmute 2x Gemini Robotics 2 brings whole body intelligence to robots Google DeepMind 324,052 views 1 month ago Copy link Info Shopping If playback doesn't begin shortly, try restarting your device. • You're signed out Videos you watch may be added to the TV's watch history and influence TV recommendations. To avoid…
8:26 PM ET
Tesla
$TSLA
8:26 PM ETTesla
@HumanoidsHQ on X
If you still think Tesla is just a car company, you’re missing the bigger picture. Optimus could become Tesla’s next massive business. 🤖 Tesla isn’t simply building a humanoid robot — the goal is to mass-produce millions of general-purpose robots capable of performing a wide range of useful tasks. Fremont → Up to 1M Optimus/year Giga Texas → Up to 10M Optimus/year Cars were just the beginning. FSD taught Tesla how to build real-world AI. Optimus could give that AI a human-like body and bring it directly into the physical world. The next 12–18 months could show us just how close Tesla is to…
7:24 PM ET
Tesla
$TSLA
7:24 PM ETTesla
Chinese automakers are following Tesla’s bet that robots are the next big profit machine | TechCrunch
Skip to content Image Credits: Zhang Haofu/Xinhua / Getty Images Robotics Share on FacebookShare on XShare on LinkedInShare on RedditShare over EmailCopy Share Link Chinese automakers are following Tesla’s bet that robots are the next big profit machine Kirsten Korosec 4:24 PM PDT · August 28, 2026 Share on FacebookShare on XShare on LinkedInShare on RedditShare over EmailCopy Share Link The hype around humanoid robots isn’t particularly new. Thank Tesla CEO Elon Musk and his Optimus robot, as well as the myriad videos of Boston Dynamics’ Atlas robot, for that. Behind that hype, though, there…
4:46 PM ET
@SemiAnalysis_
4:46 PM ET@SemiAnalysis_
SemiAnalysis ChipBook
Manage Consent To provide the best experience, we use cookies to store and/or access device information. FunctionalFunctional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. PreferencesPreferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.…
4:00 PM ET
NVIDIA
$NVDA
4:00 PM ETNVIDIA
Conference & Program | embeddedworld North America 2026
Skip to main content Skip to footer Conference & Program The premier demonstration and information sharing platform for the embedded community. Innovation, networking and knowledge are all on display. Make the most of the program with the Mobile App - explore sessions and plan your visit. Search for Sessions here! Day 1-3 Tech Sessions Schedule Day 1Tue · Sep 22Day 2Wed · Sep 23Day 3Thu · Sep 24 Exhibition Open 11:00 AM – 6:00 PM Keynote9:30 – 10:30 AM The Next Evolution of Embedded: Open Platform for Autonomous, Agentic Systems Deepu Talla— VP Robotics & Edge AI, NVIDIA Day 1:1 Technical…
2:10 PM ET
https://x.com/LerrelPinto
2:10 PM EThttps://x.com/LerrelPinto
Lerrel Pinto on X: "Turns out that doing In-context learning for robots is not that hard..." / X
Post Log in Sign up Post Lerrel Pinto on X: "Turns out that doing In-context learning for robots is not that hard..." - Lerrel Pinto @LerrelPinto Turns out that doing In-context learning for robots is not that hard... 00:00 View media 2:10 PM · Aug 28, 2026267.7KViews 26 33 569 205 - ismaelvega @notismaelvega Aug 28 it's right behind me isn't it View media Reply 40 4.9K - Chenhao Li @breadli428 Aug 28 I feel this is a not very well-defined area where we know how “OOD” the task is. 2 22 3.4K - Heeger @GChongkai Aug 28 What's the difference between in-context learning and those one-shot…
1:30 PM ET
@du_maximilian
1:30 PM ET@du_maximilian
MemoryAnchors
01 · Continual Learning Challenge Data Sensitivity in Continual Robot Learning To understand Memory Anchors, we first need to take a closer look at why robot policies forget old tasks when learning new ones. Sequential Task Learning We explore the problem setting of imitation learning on tasks in sequence. Drag the slider to step through ten tasks. The horizontal axis is the learning progress, and the vertical axis is the evaluated tasks. The lighter the off-diagonal elements, the worse the forgetting. ER buffer size 0.5% (Tiny)1% (Small)5% (Medium) Training stage 12345678910 Stage 5 of 10…
12:22 PM ET
@0xconglomerate
12:22 PM ET@0xconglomerate
@0xconglomerate on X
I’m pretty sure some of the things I mentioned here are already things @eastworlds_io and other robot data companies think about internally. s/o to @scale_AI @xdofai @MeckaAI @micro1_ai @LightwheelAI @Figure_robot @LeRobotHF @BitRobotNetwork @PrismaXai @silencioNetwork @GoogleDeepMind @physical_int ++ The point of this report is really just to look past the headline numbers, figure out where the actual value is being created, and see if there are gaps that can be turned into something useful or actionable. That’s also where the framework in the graphic comes from: Measure → find the gaps →…
11:19 AM ET
ARAxis Robotics
11:19 AM ETARAxis Robotics
Cicada Market Making on X: "https://t.co/26k9SK56mf" / X
Post Log in Sign up Post - Cicada Market Making @cicada\mm Inside Robotics and Physical AI Featuring insights from Axis Robotics In 2026, the artificial intelligence industry learned to solve the compute problem. GPUs are becoming more accessible, models are cheaper to run inference on, cloud infrastructure keeps growing. But the next wave of AI, robotics and Physical AI, has a completely different problem. It all comes down to data that simply does not exist in the volume needed. No Internet for Robots LLMs grew out of a foundation that already existed. Decades of text on the internet,…
10:56 AM ET
GEGeneralist
10:56 AM ETGEGeneralist
@chris_j_paxton on X
In-Context Learning Results Hint at a “GPT Moment” for Robotics For general-purpose robots to be useful and economical, you need to be able to teach them new skills on the fly. And now we can see how this will work, with in-context long horizon video demonstrations shown by companies like Generalist, Skild, Rhoda, Rhoda, and RobbyAnt. The idea is simple: prompt with a demonstration, mixed video and proprioception information. Language isn't enough -- it doesn't specify the problem well enough. And it's starting to really work. more in blog post
10:11 AM ET
A1a16z
10:11 AM ETA1a16z
Why Top Founders Are Racing Into AI Infrastructure - YouTube
Error 401 (Bad Request)!!1 401. That’s an error. The server cannot process the request because it is malformed. It should not be retried. That’s all we know. Back Skip navigation Search Search with your voice Sign in Why Top Founders Are Racing Into AI Infrastructure Tap to unmute 2x Why Top Founders Are Racing Into AI Infrastructure a16z 90,021 views 4 days ago Copy link Info Shopping If playback doesn't begin shortly, try restarting your device. • You're signed out Videos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to…
9:54 AM ET
Unitree
9:54 AM ETUnitree
The Humanoid Race Is Moving From Lab to Factory
Categories: Premium Subscription Updates / General Market Commentary Topics: Digital Dispatch / General Market Commentary- BW The Humanoid Race Is Moving From Lab to Factory Shares Share Post Share Email While American investors remain obsessed with the next AI model, China is staging the opening ceremony for physical AI. The recent Unitree IPO was not subtle. One of the world’s leading humanoid-robot makers raised about $905 million in Shanghai, then saw its shares surge more than 500% in its market debut after retail demand oversubscribed the offering by more than 8,000 times. That is not…
9:24 AM ET
BMW
9:24 AM ETBMW
@HumanSapiensX on X
FIGURE 03 JUST ENTERED THE BMW FACTORY. 🤖🏭 Figure 02 helped build 30,000+ BMW X3s in 2025. Now Figure 03 is taking over — and its job is getting much harder. Not just moving parts. It sorts unordered components, sequences them, and pulls loaded carts using whole-body AI control powered by Helix 02. Humanoids are moving from demos to the factory floor. 🚀
6:51 AM ET
https://x.com/poezhao0605
6:51 AM EThttps://x.com/poezhao0605
Poe Zhao on X: "Reuters just published a special investigation on China's humanoid robot boom. I contributed analysis at three points, and together they form one argument.
Start with pricing. China's capital markets have priced humanoid technology very aggressively. Investors are essentially betti… / X
Post Log in Sign up Post Poe Zhao on X: "Reuters just published a special investigation on China's humanoid robot boom. I contributed analysis at three points, and together they form one argument. Start with pricing. China's capital markets have priced humanoid technology very aggressively. Investors are essentially betting on future general-purpose usefulness, not current capability. Then look at where the robots actually work. The economics do not support widespread deployment today. Near-term demand will stay concentrated in dangerous, repetitive and structured work. The real long-term…
5:35 AM ET
@continuumlabs_
5:35 AM ET@continuumlabs_
@continuumlabs_ on X
Physical AI has made huge progress, but scaling intelligent robots is still constrained by problems far beyond the model itself. 7 bottlenecks stand out: 1️⃣ Data: robots need massive amounts of diverse real-world data, and collecting it is slow and expensive. 2️⃣ Hardware: capable robots are still difficult to manufacture, maintain, and deploy at scale. 3️⃣ Dexterity: manipulating objects precisely remains much harder than navigating or recognizing them. 4️⃣ Reliability: real environments are full of edge cases that simulations and controlled tests don't capture. 5️⃣ Cost: expensive…
4:00 AM ET
FIFigureAI
4:00 AM ETFIFigureAI
XMAQUINA on X: "This week @FigureAI launches Index, the largest physical robot training dataset in the world.
30 minutes of video uploads per second.
16M video uploads.
$15M paid to data creators.
Figure says it's committing $1B over the next 12 months on data and compute." / X
Post Log in Sign up Post XMAQUINA on X: "This week @FigureAI launches Index, the largest physical robot training dataset in the world. 30 minutes of video uploads per second. 16M video uploads. $15M paid to data creators. Figure says it's committing $1B over the next 12 months on data and compute." - XMAQUINA @xmaquina This week @FigureAI launches Index, the largest physical robot training dataset in the world. 30 minutes of video uploads per second. 16M video uploads. $15M paid to data creators. Figure says it's committing $1B over the next 12 months on data and compute. 00:00 View media…
2:17 AM ET
1X Technologies
2:17 AM ET1X Technologies
@marketmaker_hq on X
10,000 humanoid robots sold out in 5 days generating $200,000,000+ in pre-orders overnight OpenAI backed 1X Technologies just proved consumer demand for home bots is officially reaching mass hysteria with NEO: • Price: $20,000 flat (or $499/month, less than leasing a sedan) • Design: Soft fabric body with muscle like tendon actuators (no rigid steel gears) • Weight: 62 kg, completely unassisted spatial AI • Demand: 1X is already rushing a dedicated California mega factory just to scale production The physical robotics boom is arriving faster than predicted but hardware is only half the…
2:00 AM ET
ARAxis Robotics
2:00 AM ETARAxis Robotics
@axisrobotics on X
Announcing our partnership with @Dexmal_AI About Dexmal: Dexmal is a technology company focused on general-purpose embodied intelligence, committed to building intelligent, useful, and trustworthy robots. As a core data infrastructure partner, Axis is teaming up with Dexmal to empower their VLA and world models through large-scale egocentric, simulation, and real-world data production. Backed by successful enterprise data deployments, this milestone highlights the scale, precision, and production-grade reliability of Axis’s compounding physical data engine. Together, we are establishing the…
1:48 AM ET
Eduardo Baptista,Ju-min Park
1:48 AM ETEduardo Baptista,Ju-min Park
China’s record robotic strides show the limits of human speed | Reuters
Skip to main content Exclusive news, data and analytics for financial market professionalsLearn more aboutRefinitiv More Videos 0 seconds of 0 secondsVolume 0% Press shift question mark to access a list of keyboard shortcuts Keyboard ShortcutsEnabledDisabled Shortcuts Open/Close/ or ? Play/PauseSPACE Increase Volume↑ Decrease Volume↓ Seek Forward→ Seek Backward← Captions On/Offc Fullscreen/Exit Fullscreenf Mute/Unmutem Decrease Caption Size- Increase Caption Size\+ or = Seek %0-9 Next Up Bolt vs bolts: The biomechanics of man vs machine Live 00:00 00:00 00:00 BEIJING, Aug 28 (Reuters) - A…
1:43 AM ET
ARAxis Robotics
1:43 AM ETARAxis Robotics
@em3kagmi on X
Many People believe Physical might be unachievable not because robots lack arms or GPUs rather, because robots do not have enough real training data. Normal AI LLM can train on text that already exists on the internet but Robots cannot. A robot needs recordings of physical actions like how an arm moves, how a grasp starts to slip, or how an object sits at a slightly different angle. That data is expensive to collect in a lab, slow to produce, and usually too clean to match the real world. @axisrobotics approaches this differently by using a distributed network to collect physical interaction…
8:13 PM ET
Physical Intelligence (π)
8:13 PM ETPhysical Intelligence (π)
Physical Intelligence (π)
Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future. We're looking to add a small number of people to our team and have listed a few of the roles we're hiring for below. That said, we're always on the lookout for the exceptional. If none of these roles quite describe you, tell us what does and why you'd be excited to work at PI — by applying under…
8:00 PM ET
CECerebras
8:00 PM ETCECerebras
Cerebras's Next Generation CS-4: Fast Just Got Faster
SubscribeSign in Cerebras's Next Generation CS-4: Fast Just Got Faster Double the Performance, Double the Power, Double the Fun Myron Xie, Bryan Shan, Wega Chu, and 2 others Aug 18, 2026 ∙ Paid 136 6 Share Cerebras revealed CS-4 this week, with more details to come at Hot Chips. CS-4 is their fourth-generation rack built around the same third generation 5nm wafer-scale engine: WSE-3. CS-4 doubles the performance of CS-3 through increased power consumption and clock frequency per wafer, and better rack-scale density. This all translates into CS-4 being able to double the tokens/s/user per…
7:05 PM ET
Tesla
$TSLA
7:05 PM ETTesla
Optimus Just Entered Production at Fremont. Here's What Changes for Tesla Investors. | The Motley Fool
Most people watch Figure 03 walk and look at the legs. But a lot of the interesting work is happening underneath. Figure’s Helix 02 uses three control layers. System 2 understands the scene the instruction and the goal. System 1 turns that into full-body joint targets at 200 Hz. System 0 runs at 1,000 Hz constantly adjusting balance, contact and coordination. So even a simple step is the result of several control loops working together in real time. That is what makes these humanoid interesting. The movement may look simple from the outside, but the control system behind it is doing a huge…
6:18 PM ET
@Kirkland_Ellis
6:18 PM ET@Kirkland_Ellis
Foreign-Produced Advanced Robotic Devices and Certain Foreign-Produced Power Inverters Added to FCC Covered List | Publications | Kirkland & Ellis LLP
Top The Federal Communications Commission (FCC) has added foreign-produced advanced robotic devices and certain foreign-produced power inverters to its list of equipment and services that have been determined to pose “an unacceptable risk to the national security of the United States or the security and safety of United States persons” (the Covered List). Equipment on the Covered List cannot receive a new FCC equipment authorization, whether through certification or the Supplier’s Declaration of Conformity process. Because most electronic devices require FCC equipment authorization before…
3:41 PM ET
Agility Robotics
3:41 PM ETAgility Robotics
@jinseongeo83473 on X
$CCXI 🤖💰 CCXI / Agility Robotics Study #10✔️ The Big Question — What Could AGLT Actually Be Worth?✔️ The conclusion first: Agility’s $2.5B transaction valuation is beginning to look increasingly conservative. But we should not simply assume that CCXI at $10 = Agility at $2.5B. Once the expected post-merger share count is considered, the market-implied valuation becomes considerably higher. And this is where $15, $20, and $25 start to mean very different things. ① The Starting Point — $2.5B The Agility Robotics / Churchill Capital XI transaction was announced with: • $2.5B pre-money equity…
3:20 PM ET
DYDyna
3:20 PM ETDYDyna
@Rewkang on X
Most Physical AI companies are still doing lab demos. A key factor in our investment in Dyna last year was their world class post training expertise/results and their deployment focus. More deployments begets better data begets better models begets faster time to deployment We saw this loop play out for multimodal models like ChatGPT/Claude and autonomous driving and we're seeing it play out for robotics
2:23 PM ET
@frontrunvc
2:23 PM ET@frontrunvc
@frontrunvc on X
plugged this article into claude + the @frontrunvc mcp. companies that fit the thesis: 👇 vertical, owning a category: @cosmic_robotics autonomous construction @shiraz_ai robots that learn on the job @gravisrobotics turns any excavator into a robot @buildmonumental on-site construction @griprobotics waste management robots, YC S26 the deployment layer: @sydekickbot "the deployment layer for physical AI" @enact_labs "the post-training layer for physical AI" @movingatomslab world models for robots, YC S26 @adamorobotics low-latency teleop stack
2:13 PM ET
DRDYNA Robotics Inc.
2:13 PM ETDRDYNA Robotics Inc.
Careers — DYNA
Contact11:33 AM Name Email Company Team Size 1-2021-5051-100100+ Message BusinessMediaInvestorOther Submit See all open positions Human intelligence wanted. \[ Who we Are \] We’reresearchers,engineers,andoperators(androbots)workingatthefrontierofembodiedAI.Theresearchishard.Thedeploymentisharder.Theopportunityismassive.Ifyouwanttodoworkthatactuallyworksintherealworld,joinus. Department: Machine LearningSoftwareRoboticsHardwareEngineeringResearchData OperationsOperationsMarketing & SalesPeopleProductRobot Safety Operations Title:Location:Type: Machine Learning \\ \\ ML Infrastructure Engineer,…
2:13 PM ET
DYDynaRobotics
2:13 PM ETDYDynaRobotics
@DynaRobotics on X
Let’s dive into the facts. The small details we obsessed about and actually closed the gaps. To keep one Din Tai Fung dining room supplied, a robot has to produce 1,500 table-ready napkins in a day’s shift. A year ago, ours managed 480 with Dyna-1. Today with Dyna-2, we clear well over 1,500 napkins, 2.7x faster and at higher quality. None of it came from one-off solutions engineering. And the performance gains didn’t come from the pre-training alone, but the extensive systems around it.
2:13 PM ET
DYDynaRobotics
2:13 PM ETDYDynaRobotics
@DynaRobotics on X
Waymo was founded in 2009. Their demo took 18 months. Their first driverless rides opened to the public in 2020. It's easy to show a demo. What comes after are the edge cases, recovery, uptime, integrations, and the small failures that only show up once a robot has done the job every day for months. In the field. We spent the past year in that "after" with our customers, running their napkin operations day in and day out. Twelve months ago, Dyna-1 was the most reliable robot foundation model DEMO published at the time. Today the comparison with Dyna-2 is stark.
2:13 PM ET
DRDyna Robotics
2:13 PM ETDRDyna Robotics
Dyna Robotics on X: "After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now.
Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaur… / X
Post Log in Sign up Post Dyna Robotics on X: "After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now. Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network. This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting…
2:13 PM ET
DRDyna Robotics
2:13 PM ETDRDyna Robotics
Dyna Robotics on X: "After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now.
Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaur… / X
Post Log in Sign up Post Dyna Robotics on X: "After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now. Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network. This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting…
2:13 PM ET
DRDyna Robotics
2:13 PM ETDRDyna Robotics
Not Just a Model, But a Product — DYNA
Contact11:33 AM Name Email Company Team Size 1-2021-5051-100100+ Message BusinessMediaInvestorOther Submit Sections: 01Not just a model, but a product02"Both" is our way03How Dyna-2 closed the gaps04Deployment is the eval05The deployment flywheel \[ Research \] Not Just a Model, But a Product Category: Research Author: Dyna Robotics Date: August 2026 Read: 17 min \[Sound\]\[ Fullscreen \] 1.Not just a model, but a product Today, we're really excited to share an announcement our team has been working toward over the past year: our robots have successfully crossed the ROI threshold, and Din Tai…
2:00 PM ET
UAUT Austin
2:00 PM ETUAUT Austin
UT Austin on X: "A new $30 million @NSF award will establish the Center for Human and Robot Co-Adaptation at UT Austin.
Led by Texas researchers, the new center will advance groundbreaking research into how humans and robots can learn to live and work together.
Another bold step forward for resea… / X
Post Log in Sign up Post UT Austin on X: "A new $30 million @NSF award will establish the Center for Human and Robot Co-Adaptation at UT Austin. Led by Texas researchers, the new center will advance groundbreaking research into how humans and robots can learn to live and work together. Another bold step forward for research at Texas. 🤘 Read more: https://t.co/7Cnan7ap54" - UT Austin @UTAustin A new $30 million @NSF award will establish the Center for Human and Robot Co-Adaptation at UT Austin. Led by Texas researchers, the new center will advance groundbreaking research into how humans and…
10:00 AM ET
Google DeepMind
$GOOGL
10:00 AM ETGoogle DeepMind
Piloting the world's first double-blind AI evaluations — Google DeepMind
Skip to main content August 27, 2026 Responsibility & Safety Piloting the world's first double-blind AI evaluations William Isaac, Sol Messing and Kristian Lum Share Building trust in proprietary model benchmarks using cryptographically secure environments Imagine a student is set to take a high-stakes exam. If they accidentally peek at the test questions in advance, achieving a perfect score is influenced by this knowledge, making it a meaningless accomplishment. To truly measure what they know, they must have no visibility of the test questions until it's time to take the exam. That is the…
9:58 AM ET
PEPerceptron
9:58 AM ETPEPerceptron
@TheHumanoidHub on X
Perceptron's Isaac 0.5 is a 36B open-weight embodied foundation model with only 2.5B active per token. The model - Perception, reasoning, and control all read from one shared backbone, so it makes visual decisions mid-trajectory - Null-expert routing lets each token use between zero and eight of the 256 experts - 35+ embodiments and 100k+ hours of demonstrations, so policies port across robots fast The result Scaling general video from 1,000 to 1M hours cut the teleoperation needed to hit their action-loss target from 5,884 hours to 28. On most benchmarks for spatial, physical, and grounding…
8:59 AM ET
BMW
8:59 AM ETBMW
New BMW Cars & SUVs | BMW Dealer Serving Atlanta GA
Skip to main content Labor Day Specials start NOW! Financing as low as 0.9% for 60 months + Loyalty Credits on select models. Shop Labor Day Offers Global Imports BMW - 500 Interstate North Pkwy SE Atlanta, GA 30339 - :855-984-2585 - Shop New - #### Shop New - New BMW Vehicles - Build Your Own - New BMW Specials - #### Shop by Series - X1 - X2 - X3 - X5 - X6 - X7 - 2 - 3 - 4 - 5 - 7 - 8 - Z4 - i4 - i5 - i7 - iX3 - XM - M - Shop Electric - #### Shop Electric - New BMW Electric Vehicles - Charging & Benefits - Why BMW Electric? - BMW PHEV Models - BMW iX3 - #### Shop by Model - Shop BMW…
8:46 AM ET
AGAGIBOTofficial
8:46 AM ETAGAGIBOTofficial
MANUS™ on X: "Gold medals at the World Humanoid Robot Games! 🏆
Congratulations to our partner @AGIBOTofficial on winning 18 gold medals and topping the medal table at the 2nd World Humanoid Robot Games. Using @ManusMeta gloves for real-time teleoperation, the team's @AGILINKai OmniHand took first… / X
Post Log in Sign up Post MANUS™ on X: "Gold medals at the World Humanoid Robot Games! 🏆 Congratulations to our partner @AGIBOTofficial on winning 18 gold medals and topping the medal table at the 2nd World Humanoid Robot Games. Using @ManusMeta gloves for real-time teleoperation, the team's @AGILINKai OmniHand took first place in events including cable connection, unboxing, nail fixing, and bottle opening. An outstanding demonstration of dexterous manipulation. Across the competition in Beijing, many teams used MANUS Metagloves for real-time teleoperation. When every movement matters, MANUS…
8:28 AM ET
@continuumlabs_
8:28 AM ET@continuumlabs_
@continuumlabs_ on X
How does a robot actually “see” the world? It doesn’t see in the human sense. A robot builds its understanding of the environment by combining signals from multiple sensors. 📷 Cameras capture visual information: objects, colors, signs, people and more. 📡 LiDAR measures distance with laser pulses, helping create a 3D representation of the surroundings. 📶 Radar detects distance and movement, and can remain useful in conditions where cameras struggle, such as rain, fog or darkness. 🔍 Depth sensors estimate how far objects are and help the robot understand the shape and structure of nearby…
6:31 AM ET
PRpollen robotics
6:31 AM ETPRpollen robotics
Thomas Wolf on X: "We have a huge news to share today!
Today we are unveiling the first truly accessible RL robot - welcome Microduck
A 25 cm tiny open-source biped with 15 actuators and packed with sensors (camera, speaker, LiDAR, NFC, bluetooth, wifi, etc) that you train yourself with reinforce… / X
Post Log in Sign up Post Thomas Wolf on X: "We have a huge news to share today! Today we are unveiling the first truly accessible RL robot - welcome Microduck A 25 cm tiny open-source biped with 15 actuators and packed with sensors (camera, speaker, LiDAR, NFC, bluetooth, wifi, etc) that you train yourself with reinforcement learning. It's also playable out of the box with more than half a dozen fun and playful pre-trained policies to have it walk, sit, crouch, roller-skate, pick up objects with its articulated beak, and recover on its own. And all for less than $400. See all the details,…
5:30 AM ET
XTXiaomi Technology
5:30 AM ETXTXiaomi Technology
@ctorobotics on X
Humanoid robots are entering the factory floor. 🤖🏭 Xiaomi Technology is deploying wheeled and humanoid robots inside its automotive manufacturing facility. The interesting part isn’t just the robot itself it’s the combination of mobility + AI + factory automation working together. This could be a major shift in how future factories operate. Would you trust humanoid robots to work alongside humans on a production line? 👀 🎥 Credit: lincoln_robotics_space ( Instagram ) ⚠️ This content is shared for informational and educational purposes only. CTO Robotics Media is a media platform and does…
5:18 AM ET
NVIDIA
$NVDA
5:18 AM ETNVIDIA
Shuddhatma Jain on X: "Sanja Fidler quit her job running NVIDIA's Toronto AI lab, started a company three months ago, and has already pulled in $90 million without shipping a single product.
nobody is betting on a robot here. they're betting she can build the world robots learn inside 🧵" / X
Post Log in Sign up Post Shuddhatma Jain on X: "Sanja Fidler quit her job running NVIDIA's Toronto AI lab, started a company three months ago, and has already pulled in $90 million without shipping a single product. nobody is betting on a robot here. they're betting she can build the world robots learn inside 🧵" - Shuddhatma Jain @decepticons0101 Sanja Fidler quit her job running NVIDIA's Toronto AI lab, started a company three months ago, and has already pulled in $90 million without shipping a single product. nobody is betting on a robot here. they're betting she can build the world robots…
4:00 AM ET
ARAxis Robotics
4:00 AM ETARAxis Robotics
Axis Robotics × Booster: From Digital Twins to a Robot Data Engine
Back How task-aligned simulation, real demonstrations, and continued pretraining can make each new Booster task easier to build than the last. Robot learning has a model problem. More importantly, it has a data-operations problem. Figure — Axis’s simulation solution spans third-person, head, and wrist observations while varying appearance, materials, object layout, lighting, and scene context. The objective is to preserve task structure while varying the details that should not control the policy. Introduction For robotics companies building new embodiments—and, increasingly, for the entire…
China can build kung fu-fighting robots. But it can’t get them to do factory work | Reuters
Skip to main content Exclusive news, data and analytics for financial market professionalsLearn more aboutRefinitiv LIUZHOU, China - Inside a training center in southern China, more than 100 humanoid robots stand in neat rows. A dozen human trainers wearing headsets guide some of them through simple tasks – sorting crates, packaging noodles, making coffee. The humanoids are slow and awkward. A novice trainer might get them to produce one usable movement in 300 attempts; an experienced trainer, one in 50. Robot maker UBTech won an $18 million tender from the Guangxi regional government last…
12:43 AM ET
https://x.com/ErenChenAI
12:43 AM EThttps://x.com/ErenChenAI
Eren Chen on X: "GRIT, a humanoid robotics lab in China demos its whole-body control under strong terrain disturbances during teleoperation.
The robot keeps tracking the operator while stepping over obstacles and maintaining balance.
Pretty robust." / X
Post Log in Sign up Post Eren Chen on X: "GRIT, a humanoid robotics lab in China demos its whole-body control under strong terrain disturbances during teleoperation. The robot keeps tracking the operator while stepping over obstacles and maintaining balance. Pretty robust." - Eren Chen @ErenChenAI GRIT, a humanoid robotics lab in China demos its whole-body control under strong terrain disturbances during teleoperation. The robot keeps tracking the operator while stepping over obstacles and maintaining balance. Pretty robust. 00:00 View media 12:43 AM · Aug 27, 20264.4KViews 1 5 54 20 - Snoopy…
11:01 PM ET
@frontrunvc
11:01 PM ET@frontrunvc
@frontrunvc on X
here's 8 sourced on @frontrunvc: own hardware, own software, one vertical, no announced round. 🫡 @shiraz_ai - robots that learn a manufacturing task from one demo. ex boston dynamics, amazon robotics. @propriorobotics - robots that run the data center floor. berkeley + harvard. @LambdaRobo - robots that build and service data centers. @griprobotics - picking robots for waste and recycling. @fw_automation - automated apparel factories in the US. founder's last textile co did $75M. @dm_robots - robot arms for european SME manufacturing, taught by demonstration. ETH. @autofab_inc - a robot arm…
11:01 PM ET
SoftBank
$SFTBY
11:01 PM ETSoftBank
Ismail | SinyalKatmanı | on X: "SoftBank, humanoid robot üreticisi 1X’te çoğunluk hissesi için $6B değerleme üzerinden görüşüyor. NEO için 10K' dan fazla sipariş var.
Son, OpenAI ve AI infra sonrası fiziksel AI’a yükleniyor. Sipariş var ama ticari teslimat ölçeği henüz kanıtlanmadı." / X
Post Log in Sign up Post Ismail \| SinyalKatmanı \| on X: "SoftBank, humanoid robot üreticisi 1X’te çoğunluk hissesi için $6B değerleme üzerinden görüşüyor. NEO için 10K' dan fazla sipariş var. Son, OpenAI ve AI infra sonrası fiziksel AI’a yükleniyor. Sipariş var ama ticari teslimat ölçeği henüz kanıtlanmadı." - Ismail \| SinyalKatmanı \| @sinyalkatmani SoftBank, humanoid robot üreticisi 1X’te çoğunluk hissesi için $6B değerleme üzerinden görüşüyor. NEO için 10K' dan fazla sipariş var. Son, OpenAI ve AI infra sonrası fiziksel AI’a yükleniyor. Sipariş var ama ticari teslimat ölçeği henüz…
10:13 PM ET
SoftBank
$SFTBY
10:13 PM ETSoftBank
@CapitalSqueez on X
$CCXI SoftBank paying $6B for control of 1X is a category green light. Masa is buying physical AI. That lifts every credible humanoid name. 1X is the home bet: $20k NEO, 10k pre-orders. Home is the hardest environment. SoftBank still wants it. 🔥 Agility is the better near-term trade. Digit is already working — 65k+ hours, 100k+ totes at GXO. Did you know…SoftBank is already an investor in Agility via its Vision Fund 2? 💥 @agilityrobotics @HumanoidInvest @PeggyJ @slinkyhammer @SCSQ2022 @valueInIdeas @chris_j_paxton
6:24 PM ET
Agility Robotics
6:24 PM ETAgility Robotics
@Coexisteven on X
3/4 🤖 Robotics / Physical AI Layer Agility Robotics shared a video of Digit’s whole-body range of motion being stress-tested in a workout class (every joint in sync for timing, velocity, and balance - the same control stack used on warehouse floors) CEO Peggy Johnson also appeared on Bloomberg discussing real-world deployment progress: Digit is now across nine customer sites with over 65,000 hours of operation. Tesla continued pushing FSD Supervised as a “guardian angel” on the road and noted the Summer Release using Grok Think Fast 2.0. Quiet week from Figure Robotics, Boston Dynamics, and…
4:05 PM ET
NVIDIA
$NVDA
4:05 PM ETNVIDIA
How to Train a Cross-Embodiment Robot Navigation Policy with AI Agents | NVIDIA Technical Blog
Technical Blog Subscribe Related Resources Robotics English한국어中文 How to Train a Cross-Embodiment Robot Navigation Policy with AI Agents Aug 26, 2026 By Yan Chang, Mihir Acharya, Wei Liu, Katie Washabaugh and Aishwarya Singh +9 Like Discuss (0) - L - T - F - R - E AI-Generated Summary - COMPASS adapts the pretrained NVIDIA X-Mobility policy into residual specialists for specific robots and environments using reinforcement learning. - An agent-driven workflow with human approval gates automates environment validation, scene preparation, smoke testing, residual training, checkpoint evaluation,…
4:04 PM ET
Agility Robotics
4:04 PM ETAgility Robotics
Agility on X: "Whole-body range of motion, stress-tested by a workout class. Every joint in sync — timing, velocity, balance. The same control Digit uses on a real warehouse floor.
#Agility #DigitRobot" / X
Post Log in Sign up Post Agility on X: "Whole-body range of motion, stress-tested by a workout class. Every joint in sync — timing, velocity, balance. The same control Digit uses on a real warehouse floor. \#Agility \#DigitRobot" - Agility @agilityrobotics Whole-body range of motion, stress-tested by a workout class. Every joint in sync — timing, velocity, balance. The same control Digit uses on a real warehouse floor. #Agility #DigitRobot 00:00 View media 4:04 PM · Aug 26, 202611.3KViews 9 4 42 7 - Capital\Squeeze❄️ @CapitalSqueez Aug 27 Agility Robotics’ Digit is positioned to disrupt and…
2:45 PM ET
pi
2:45 PM ETpi
Rhys on X: "Cool to see a bunch of new robotics foundation model releases:
π0.7 from @physical_int
GEN-1.5 from @generalistAI
S1 from @SkildAI
Feels like the GPT-3 moment for robotics. Robot Models are Few-Shot Learners!" / X
Post Log in Sign up Post Rhys on X: "Cool to see a bunch of new robotics foundation model releases: π0.7 from @physical\int GEN-1.5 from @generalistAI S1 from @SkildAI Feels like the GPT-3 moment for robotics. Robot Models are Few-Shot Learners!" - Rhys @RhysLindmark Cool to see a bunch of new robotics foundation model releases: π0.7 from @physical\int GEN-1.5 from @GeneralistAI S1 from @SkildAI Feels like the GPT-3 moment for robotics. Robot Models are Few-Shot Learners! View media View media 2:45 PM · Aug 26, 2026255Views 3 3 - Rhys @RhysLindmark Aug 26 Also damn, still so early for robot…
1:47 PM ET
@NewsHumanoid
1:47 PM ET@NewsHumanoid
@NewsHumanoid on X
Held in Beijing from August 22–26, 2026, the 2026 World Humanoid Robot Games delivered one of its most viral moments when China’s Tiangong Ultra completed the 100-meter race in just 8.64 seconds. That time is nearly a full second faster than Usain Bolt’s 9.58-second human world record. Still, robot and human race conditions are not directly comparable. The more meaningful benchmark is year-over-year progress: Tiangong Ultra won the same event last year in 21.50 seconds. Cutting the time by more than half in a single year highlight how rapidly humanoid robotics is advancing. Tiangong Ultra can…
1:39 PM ET
GRGalbot Robotics
1:39 PM ETGRGalbot Robotics
@GalbotRobotics on X
🏆 3 GOLD MEDALS. 100% AUTONOMOUS. 100% WIN RATE. Galbot G1 swept the three most challenging scenario competitions at #WHRG: Home, Catering, and Retail. 🏅 Home: household organization, laundry, delivery pickup, and long-horizon tasks with unexpected interruptions 🏅 Catering: understanding voice commands, handling and heating food, preparing drinks, and completing delivery 🏅 Retail: order picking, shelf restocking, store inspection, and returning misplaced products When robots can truly understand, plan, and act autonomously in the physical world, embodied AI’s “ChatGPT moment” may be…
1:24 PM ET
Apptronik
1:24 PM ETApptronik
Humanoids are for marketing, robots are the real business
READ00% The Apollo that Apptronik showed the world at the end of June has two legs, a torso, a head and the general proportions of a five-foot-eight adult. The Apollo its paying customers keep asking for has a wheeled base instead. Apptronik, an Austin robotics company that has raised nearly a billion dollars to build a humanoid, now ships its flagship in two configurations, and the one destined for warehouses rolls. Logistics buyers, it turns out, want stability, battery life and predictability more than they want a machine that walks. The case for legs is a good one, and the company has…
1:23 PM ET
VAVeeda AI
1:23 PM ETVAVeeda AI
Open roles with founders hailing from NVIDIA, Citadel, Palantir, and MIT
SubscribeSign in Discover more from a16z Jobs New jobs every day. Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Already have an account? Sign in Open roles with founders hailing from NVIDIA, Citadel, Palantir, and MIT Plus, a list of open roles at early-stage startups building their founding teams Katie Kirsch and Lauren Nguyen Aug 26, 2026 8 2 1 Share Build -1 → 0 Get on the ground floor with the founding team of a pre-seed or seed-stage startup. - After 8 years running AI research at NVIDIA, Sanja Fidler…
1:15 PM ET
WLWorld Labs
1:15 PM ETWLWorld Labs
@drfeifei: 🤖 x 🌍 = 📈 come and join us for this exciting journey!!
🤖 x 🌍 = 📈 come and join us for this exciting journey!!
1:05 PM ET
WLWorld Labs
1:05 PM ETWLWorld Labs
World Labs on X: "The next generation of robotics needs models that can understand, simulate, learn from, and act across virtual and physical worlds.
We’re hiring a Sr Business Development Lead, Robotics & Physical AI to help bring this technology into real-world applications 🤖🚀" / X
Post Log in Sign up Post World Labs on X: "The next generation of robotics needs models that can understand, simulate, learn from, and act across virtual and physical worlds. We’re hiring a Sr Business Development Lead, Robotics & Physical AI to help bring this technology into real-world applications 🤖🚀" - World Labs @theworldlabs The next generation of robotics needs models that can understand, simulate, learn from, and act across virtual and physical worlds. We’re hiring a Sr Business Development Lead, Robotics & Physical AI to help bring this technology into real-world applications…
12:08 PM ET
DVDynamo Ventures
12:08 PM ETDVDynamo Ventures
Dynamo Dispatch (2026/08/24) - by Santosh Sankar
Dispatch by Dynamo Ventures SubscribeSign in Discover more from Dispatch by Dynamo Ventures The signal in the noise of the industrial renaissance. Each week, we distill the headlines that matter across the physical economy along with our unique perspective and opinion. Join the thousands of founders, executives, and investors who read it. Over 4,000 subscribers Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Already have an account? Sign in Dynamo Dispatch (2026/08/24) Issue 384 \| The grid, the canal, and the…
10:59 AM ET
Figure
10:59 AM ETFigure
Brett Adcock on X: "We're now over 43,000 weekly active users collecting data to train Helix, our AI model for F.03 robots
This data collection project, Index, is our answer to the data problem: the largest useful robot training dataset in the world
Extrapolate out, and this is the pretraining ne… / X
Post Log in Sign up Post Brett Adcock on X: "We're now over 43,000 weekly active users collecting data to train Helix, our AI model for F.03 robots This data collection project, Index, is our answer to the data problem: the largest useful robot training dataset in the world Extrapolate out, and this is the pretraining needed for large scale robot generalization The effort started by purchasing data from vendors but this data was scarce and really poor quality - there was simply no way to make this work correctly at scale. So we did it ourselves. It was quite a massive effort that has now…
10:59 AM ET
Figure
10:59 AM ETFigure
@adcock_brett on X
We're now over 43,000 weekly active users collecting data to train Helix, our AI model for F.03 robots This data collection project, Index, is our answer to the data problem: the largest useful robot training dataset in the world Extrapolate out, and this is the pretraining needed for large scale robot generalization The effort started by purchasing data from vendors but this data was scarce and really poor quality - there was simply no way to make this work correctly at scale. So we did it ourselves. It was quite a massive effort that has now resulted in a Figure-owned data pipeline that is…
10:13 AM ET
COCosmicbrainai
10:13 AM ETCOCosmicbrainai
@antopatrex1 on X
scaling laws do not apply to physical AI yet. i'll say it again. scaling laws do not apply to physical AI. chelsea finn from physical intelligence showed this during her YC talk. they trained pi0.7 to make coffee. the robot couldn't learn from video alone. failed over and over. an engineer had to physically grab the robot and correct it multiple times just to get it to catch the coffee grouper with one hand and balance with the other. peter florence at generalist, same story. VLA models, the robot figured out hand usage from video datasets but still needed a human to step in and fix the…
10:02 AM ET
Skild AI
10:02 AM ETSkild AI
@ThomasSmale on X
$14B valuation. Pre-revenue. A handful of customers. That is Skild AI today. And it is not the outlier. Physical Intelligence: $11B Generalist: $2B to $3B in months, $600M raised Skild AI: $14B Three companies. Billions in capital. Almost no commercial traction between them. The thesis is simple. Someone builds the foundation model for robotics the way OpenAI built one for language. Find the winner early, own the platform forever. Here is the problem. LLMs were trained on trillions of words scraped from the open internet. That dataset already existed, and it was free. No equivalent exists for…
9:38 AM ET
@techniahqrobot
9:38 AM ET@techniahqrobot
@techniahqrobot on X
The most important humanoid robot factory nobody is watching yet. Japan just opened a factory where humanoid robots train for the real world Inside J-HRTI’s new 1,400 m² facility in Chiba, 35 humanoid robots are already collecting physical interaction data, with capacity for 40. Japan plans to expand this model to 10 data factories by 2027. The humanoid race is becoming a data race. Video source: LOGI-BIZ Online, filmed on-site at J-HRTI Kanto Data Factory in Narashino, Chiba, and published on August 26, 2026. #HumanoidRobots #PhysicalAI #EmbodiedAI #Robotics #Japan #ArtificialIntelligence
9:30 AM ET
Unitree
9:30 AM ETUnitree
Robot brain builders are pushing out of their GPT-2 era | TechCrunch
Checking your Browser… Verifying... Stuck? Troubleshoot Success! Verification failed Troubleshoot Verification expired Refresh Verification expired Refresh Troubleshoot Cloudflare, opens in a new tab Privacy • Help Skip to content Image Credits: Kiyoshi Ota/Bloomberg / Getty Images Robotics Share on FacebookShare on XShare on LinkedInShare on RedditShare over EmailCopy Share Link Robot brain builders are pushing out of their GPT-2 era Tim Fernholz 6:30 AM PDT · August 26, 2026 Share on FacebookShare on XShare on LinkedInShare on RedditShare over EmailCopy Share Link Physical AI is one of the…
7:52 AM ET
Tesla
$TSLA
7:52 AM ETTesla
@HumanoidsHQ on X
Optimus has the potential to become one of the most important products ever created. Once humanoid robots can perform a wide range of useful tasks at scale, the impact on manufacturing and the global workforce could be enormous. Tesla’s focus is now clear: scale Optimus production as fast as possible.
6:10 AM ET
UNUnitreeRobotics
6:10 AM ETUNUnitreeRobotics
@UnitreeStore_SH on X
Unlock unlimited sports potential (Extra large joint movement space angle, 23~43 joints) Force control of dexterous hands, manipulation of all thingsImitation & reinforcement learning driven Robot world model, let’s create it together Unitree G1 Price from $13.5K. Experience G1 at the Unitree Store in Shanghai. Follow us for more robots, technology, and store experiences. 📍 2nd Floor, Jiuguang Department Store, West Nanjing Road, Shanghai 🕙 Open daily, 10:00–22:00 🚇 Metro Lines 2, 7 & 14(Jing'an Temple Station，静安寺站) #Unitree #UnitreeRobotics #UnitreeG1 #G1 #HumanoidRobot #Robotics…
6:10 AM ET
Google
$GOOGL
6:10 AM ETGoogle
@zhodonx on X
I’ve said before that I think Google & DeepMind are playing a longer game with models. This is still a firm stance. Because a lot of the time, i think people look at Google’s model strategy too narrowly; Every Gemini release immediately gets reduced to how it compares with other labs or whatever benchmark is trending that week. Meanwhile the it’s more about where all of that intelligence might show up next. Like in Reasoning, Vision, Video, Agents. And particularly robotics. I believe Gemini Robotics ER 2 is a clear example here. It was built on Gemini 3.5 Flash. Except, now its intelligence…
6:09 AM ET
Skild
6:09 AM ETSkild
@0xconglomerate on X
Is it really possible for a robot to learn a new task from one human video, with zero fine-tuning? I’ve read a lot of hype around Skild’s S1, with some already calling it robotics’ “ChatGPT moment.” That sounded a bit absurd to me, so I looked into what’s actually going on 👇 ➦ What is @SkildAI actually claiming? I’ve written enough marketing material for AI, robotics, and tech companies that I’m usually skeptical when something sounds too good to be true. If you only saw the announcement post, you could easily think the robot just watches one human video and somehow learns the task from that…
2:33 AM ET
@deepakpathak
2:33 AM ET@deepakpathak
@deepakpathak on X
@JieWang_ZJUI These are 5-10min long tasks, ~500 demos needed for VLAs. Practically takes much longer than 50-100hrs to collect 50hrs of robot data assuming people take break or make mistake too.
2:18 AM ET
ARAxis Robotics
2:18 AM ETARAxis Robotics
@axisrobotics on X
2/ What you're actually doing Axis is the compounding data engine for physical AI. Every task you complete on Axis Hub is a robot trajectory — real training data for real robot policies. You do the demonstration, we verify it, you sign it on-chain. Your contribution becomes a permanent record. Learn more:
2:18 AM ET
ARAxis Robotics
2:18 AM ETARAxis Robotics
Axis Robotics on X: "Axis Robotics x @BinanceWallet is live.
1,500,000 Axis Points. 30 days. Reserved exclusively for Binance Keyless Wallet users.
Teach robots. Sign your data on Base. Get paid in Points from a pool that's entirely separate from the main product.
How it works:" / X
Post Log in Sign up Post Axis Robotics on X: "Axis Robotics x @BinanceWallet is live. 1,500,000 Axis Points. 30 days. Reserved exclusively for Binance Keyless Wallet users. Teach robots. Sign your data on Base. Get paid in Points from a pool that's entirely separate from the main product. How it works:" - Axis Robotics @axisrobotics Axis Robotics x @BinanceWallet is live. 1,500,000 Axis Points. 30 days. Reserved exclusively for Binance Keyless Wallet users. Teach robots. Sign your data on Base. Get paid in Points from a pool that's entirely separate from the main product. How it works: View…
7:36 PM ET
@dredgefactory
7:36 PM ET@dredgefactory
@dredgefactory on X
A 29900$ MACHINE IS DANCING ON A PAVEMENT AND NOT ONE PERSON WALKING PAST LOOKS UP. 29900$ is a Unitree H2, the class this thing sits in. Entry models go for 13500$. Every beat throws its centre of mass and the feet catch it in real time - uneven stone, no tether, no handrail. Same loop that keeps it standing in a warehouse.
7:06 PM ET
Figure
7:06 PM ETFigure
@TheHumanoidHub on X
Figure takes vertical integration to another level. Figure built its own egocentric data collection pipeline. Index is a crowdsourcing platform where anyone can collect data. - 264K app downloads across 108 countries - 44K weekly active contributors - 16M videos uploaded, 30 minutes of video ingested every second - $15M already paid out to contributors Figure says data vendors couldn't hit the throughput, diversity, or quality bar, so they built the pipeline themselves. Next 12 months: $1B committed to data and compute.
5:27 PM ET
https://x.com/huaijiangzhu
5:27 PM EThttps://x.com/huaijiangzhu
huaijiang on X: "ok, so if i understood this correctly, the “in-context learning” ability was essentially baked into the model at training time. roughly speaking, the policy is trained to do something like:
(demo video, current obs) → action
this is quite different from in-context learning in llm… / X
Post Log in Sign up Post huaijiang on X: "ok, so if i understood this correctly, the “in-context learning” ability was essentially baked into the model at training time. roughly speaking, the policy is trained to do something like: (demo video, current obs) → action this is quite different from in-context learning in llms, where the model is simply trained on next-token prediction over arbitrary context. fwiw, this is pretty clever because it could also solve another problem: they could pair an egocentric video-only demonstration with a UMI/teleop trajectory for the same task. the target…
3:19 PM ET
@gupta_abhinav_
3:19 PM ET@gupta_abhinav_
@gupta_abhinav_ on X
Punch: Skild S1 is 380 times more data efficient than standard VLA models! yes...let that sink in..
3:03 PM ET
NINissan
3:03 PM ETNINissan
NMIS – Nissan Manufacturing Innovation Summit – Innovation and Technology Summit for Greater Nashville Manufacturing
Close - Home - Event Schedule - Exhibitors - Speakers - Food - Golf - Linkedin - Home - Event Schedule - Exhibitors - Speakers - Food - Golf Register - Home - Event Schedule - Exhibitors - Speakers - Food - Golf Register Nissan Manufacturing Innovation Summit Innovate. Pivot. Lead. Event Schedule We are excited to announce the ninth annual Nissan Manufacturing Innovation Summit hosted by Nissan and the regional SME Chapter 43. This dynamic event brings together manufacturers, suppliers, innovators, and thought leaders to explore cutting-edge solutions including digital twin software,…
2:05 PM ET
Skild
2:05 PM ETSkild
@rohanpaul_ai on X
Robotics is more and more getting close to get its version of in-context learning. Skild just released S1, a robot foundation model that uses video demonstrations to define tasks instead of language instructions. Give S1 1 human video showing a long, multi-step task, and the robot executes it straight away. No retraining. No fine-tuning. If this scales, you pay the enormous data bill once during foundation-model training, then amortize it across thousands of new tasks through prompting. That could change the economics of robot learning completely.
2:04 PM ET
Skild
2:04 PM ETSkild
@DeryaTR_ on X
This is super exciting advance in robotics AI! I believe S1 is the most impressive robot foundation model I had seen! S1, is a robot foundation model built to learn new manipulation tasks through in-context prompting In Skild’s internal benchmarks, S1 achieved a 66% step-success rate on unseen tasks versus 9% for a language-prompted model, while one video demonstration provided roughly the benefit of 380 post-training examples!
1:55 PM ET
Agility Robotics
1:55 PM ETAgility Robotics
Agility on X: "We're hiring a Senior AI Software Engineer, Reinforcement Learning. Develop and deploy RL policies for locomotion, whole-body control, and manipulation — on a humanoid robot already working in production facilities.
Build with us: https://t.co/b2Gs1xW7st
#Agility" / X
Post Log in Sign up Post Agility on X: "We're hiring a Senior AI Software Engineer, Reinforcement Learning. Develop and deploy RL policies for locomotion, whole-body control, and manipulation — on a humanoid robot already working in production facilities. Build with us: https://t.co/b2Gs1xW7st \#Agility" - Agility @agilityrobotics We're hiring a Senior AI Software Engineer, Reinforcement Learning. Develop and deploy RL policies for locomotion, whole-body control, and manipulation — on a humanoid robot already working in production facilities. Build with us: agilityrobotics.com/about/job-post……
1:54 PM ET
@gupta_abhinav_
1:54 PM ET@gupta_abhinav_
@gupta_abhinav_ on X
@0fir0z @deepakpathak In the silicon valley world the race for robotics companies is to be similar to LLMs. But actually robotics needs many more concepts from computer vision. We are proud to say S1 is using so many of our past efforts in computer vision CC: @JitendraMalikCV
1:41 PM ET
Unitree Robotics
1:41 PM ETUnitree Robotics
Markets surge, track records fall, and in-context learning hits physical AI
- Home - Posts - Markets surge, track records fall, and in-context learning hits physical AI Markets surge, track records fall, and in-context learning hits physical AI Unitree’s market whiplash, an 8.86s 100m sprint, and how in-context learning is ending heavy fine-tuning. Humanoids Daily Aug 25, 2026 This week brought a stark look at the tension defining modern humanoid robotics: the gap between capital market euphoria, athletic spectacle, and the unglamorous realities of industrial utility. Unitree's blockbuster Shanghai STAR Market listing initially saw shares rocket over 600% to an…
1:38 PM ET
Figure
1:38 PM ETFigure
Figure on X: "We are now on a path to 100x, and are committed to spend over $1B the next 12 months on data and compute
Index is laying the groundwork for ordering robots as a service. Today, you have people coming to help clean your house; eventually, a robot will do everything for you" / X
Post Log in Sign up Post Figure on X: "We are now on a path to 100x, and are committed to spend over $1B the next 12 months on data and compute Index is laying the groundwork for ordering robots as a service. Today, you have people coming to help clean your house; eventually, a robot will do everything for you" - Figure @Figure\robot Aug 25 Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos 00:00 View media 181 345 3.6K 525K - Figure…
1:36 PM ET
Figure
1:36 PM ETFigure
Figure on X: "By the numbers:
→ While in stealth, we crossed 264,000 app downloads
→ Uploading over 30 min of video very second
→ Over 16M video uploads
→ Paid out $15M to date
Weekly active users is now over 43,000" / X
Post Log in Sign up Post Figure on X: "By the numbers: → While in stealth, we crossed 264,000 app downloads → Uploading over 30 min of video very second → Over 16M video uploads → Paid out $15M to date Weekly active users is now over 43,000" - Figure @Figure\robot Aug 25 Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos 00:00 View media 181 345 3.6K 525K - Figure @Figure\robot Aug 25 The data needed to scale a truly general purpose robots…
1:35 PM ET
@gupta_abhinav_
1:35 PM ET@gupta_abhinav_
@gupta_abhinav_ on X
We did not rush to put our results in public domain because we wanted to spend time understanding the prompting phenomenon. For the last two months, we have tried to obtain scaling laws of prompting models. We also tried to explain the phenomenon and comparison under both seen and unseen settings. These graphs make our results extremely promising!
1:35 PM ET
Figure
1:35 PM ETFigure
Figure on X: "We've now collected data in 108 countries to date
Here's a global map of our collection, now updating live on our website, each point of light represents a real world contributions to our dataset" / X
Post Log in Sign up Post Figure on X: "We've now collected data in 108 countries to date Here's a global map of our collection, now updating live on our website, each point of light represents a real world contributions to our dataset" - Figure @Figure\robot Aug 25 Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos 00:00 View media 181 345 3.6K 525K - Figure @Figure\robot Aug 25 The data needed to scale a truly general purpose robots…
1:35 PM ET
https://x.com/adcock_brett
1:35 PM EThttps://x.com/adcock_brett
Brett Adcock on X: "We are now on a path to 100x, and are committed to spend over $1B the next 12 months on data and compute
Index is laying the groundwork for ordering robots as a service. Today, you have people coming to help clean your house; eventually, a robot will do everything for you" / X
Post Log in Sign up Post Brett Adcock on X: "We are now on a path to 100x, and are committed to spend over $1B the next 12 months on data and compute Index is laying the groundwork for ordering robots as a service. Today, you have people coming to help clean your house; eventually, a robot will do everything for you" - Brett Adcock @adcock\brett Aug 25 Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the next…
1:34 PM ET
RHrhoda
1:34 PM ETRHrhoda
@chris_j_paxton on X
This is the mark of a general purpose robot foundation model -- that it can be taught tasks from examples without training. We saw an early version of this from rhoda and a solid one last week from generalist, and now a really impressive, ten minute long one from skild. This to me does feel like the true gpt moment for robotics -- because if it truly generalizes, that means that you can really start deploying robots for anything, as developing robot skills becomes like prompting
1:34 PM ET
Figure
1:34 PM ETFigure
Figure on X: "The data needed to scale a truly general purpose robots doesn't exist on the internet - it has to come from the real world
For the last 4 months, we’ve been building a Figure-exclusive pipeline to scale data collection at higher throughputs. Today, we’re coming out of stealth" / X
Post Log in Sign up Post Figure on X: "The data needed to scale a truly general purpose robots doesn't exist on the internet - it has to come from the real world For the last 4 months, we’ve been building a Figure-exclusive pipeline to scale data collection at higher throughputs. Today, we’re coming out of stealth" - Figure @Figure\robot Aug 25 Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos 00:00 View media 181 345 3.6K 525K - Figure…
1:33 PM ET
Figure
1:33 PM ETFigure
Brett Adcock on X: "The data needed to scale a truly general purpose robots doesn't exist on the internet - it has to come from the real world
For the last 4 months, we’ve been building a Figure-exclusive pipeline to scale data collection at higher throughputs. Today, we’re coming out of stealth" / X
Post Log in Sign up Post Brett Adcock on X: "The data needed to scale a truly general purpose robots doesn't exist on the internet - it has to come from the real world For the last 4 months, we’ve been building a Figure-exclusive pipeline to scale data collection at higher throughputs. Today, we’re coming out of stealth" - Brett Adcock @adcock\brett Aug 25 Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the…
1:30 PM ET
Figure
1:30 PM ETFigure
Brett Adcock on X: "Introducing Index
Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world
→ 30min of video uploads/sec
→ 16M video uploads
→ Paid $15M to date
→ 264k downloads
We're committed to spending $1B the next 12 months on data & com… / X
Post Log in Sign up Post Brett Adcock on X: "Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the next 12 months on data & compute" - Brett Adcock @adcock\brett Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the…
1:30 PM ET
Figure
1:30 PM ETFigure
Brett Adcock on X: "Introducing Index
Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world
→ 30min of video uploads/sec
→ 16M video uploads
→ Paid $15M to date
→ 264k downloads
We're committed to spending $1B the next 12 months on data & com… / X
Post Log in Sign up Post Brett Adcock on X: "Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the next 12 months on data & compute" - Brett Adcock @adcock\brett Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the…
1:30 PM ET
Figure
1:30 PM ETFigure
Brett Adcock on X: "Introducing Index
Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world
→ 30min of video uploads/sec
→ 16M video uploads
→ Paid $15M to date
→ 264k downloads
We're committed to spending $1B the next 12 months on data & com… / X
Post Log in Sign up Post Brett Adcock on X: "Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the next 12 months on data & compute" - Brett Adcock @adcock\brett Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the…
1:30 PM ET
Figure
1:30 PM ETFigure
Figure on X: "Introducing Index
Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots
To date we've crossed 264,000 app downloads and uploaded 16 million videos" / X
Post Log in Sign up Post Figure on X: "Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos" - Figure @Figure\robot Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos 00:00 View media 1:30 PM · Aug 25, 2026525.5KViews 181 345 3.6K 872 - Figure @Figure\robot Aug 25 The data needed to scale…
1:30 PM ET
Figure
1:30 PM ETFigure
Figure on X: "Introducing Index
Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots
To date we've crossed 264,000 app downloads and uploaded 16 million videos" / X
Post Log in Sign up Post Figure on X: "Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos" - Figure @Figure\robot Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos 00:00 View media 1:30 PM · Aug 25, 2026525.5KViews 181 345 3.6K 872 - Figure @Figure\robot Aug 25 The data needed to scale…
1:21 PM ET
Skild
1:21 PM ETSkild
@TheHumanoidHub on X
Show it a single human demonstration of a long-horizon task and the robot performs it right away. No fine-tuning, no retraining. Skild has released S1, a robot foundation model where you specify the task with a video demonstration instead of a language instruction. Why video, not language Language works for "hand me the mug." It falls apart for anything delicate or long-horizon. You don't learn to fold a fitted sheet from a sentence. So S1 takes a video demo into its context window and translates it to its own body and scene. What it does - Tasks up to 10 minutes, dozens of sequential steps -…
1:19 PM ET
Skild AI
1:19 PM ETSkild AI
Skild AI on X: "We found that to match the accuracy that S1 can achieve with just one example of prompting, current VLA models would need to be post-trained with 50-100 hours of data collection followed by fine-tuning!" / X
Post Log in Sign up Post Skild AI on X: "We found that to match the accuracy that S1 can achieve with just one example of prompting, current VLA models would need to be post-trained with 50-100 hours of data collection followed by fine-tuning!" - Skild AI @SkildAI Aug 25 Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning: 00:00 View media 427 1K 7.1K 3.4M - Skild AI @SkildAI Aug 25 It can be taught…
1:19 PM ET
@SkildAI
1:19 PM ET@SkildAI
@SkildAI on X
Compared to conventional VLAs, S1 is a step-change improvement. For known tasks, S1 can match the performance of language-prompted VLAs. For novel tasks, S1 exponentially outperforms any existing language-prompted VLAs as we scale the pre-training. We believe this is a promising direction towards establishing scaling laws for robotics.
1:19 PM ET
Skild AI
1:19 PM ETSkild AI
Skild AI on X: "S1 learns new tasks like a language model.
You prompt it with a video demonstration, and it outputs robot actions to complete the task in any environment and in any embodiment." / X
Post Log in Sign up Post Skild AI on X: "S1 learns new tasks like a language model. You prompt it with a video demonstration, and it outputs robot actions to complete the task in any environment and in any embodiment." - Skild AI @SkildAI Aug 25 Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning: 00:00 View media 427 1K 7.1K 3.4M - Skild AI @SkildAI Aug 25 It can be taught extremely long-horizon tasks,…
1:19 PM ET
Skild AI
1:19 PM ETSkild AI
Skild AI on X: "The first time S1 flipped a pancake, we assumed pancake flipping must have been in its pre-training data.
We searched our whole pre-training data and found no examples of flipping.
S1 inferred the out-of-distribution task from one video prompt." / X
Post Log in Sign up Post Skild AI on X: "The first time S1 flipped a pancake, we assumed pancake flipping must have been in its pre-training data. We searched our whole pre-training data and found no examples of flipping. S1 inferred the out-of-distribution task from one video prompt." - Skild AI @SkildAI Aug 25 Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning: 00:00 View media 427 1K 7.1K 3.4M - Skild…
1:19 PM ET
Skild AI
1:19 PM ETSkild AI
Skild AI on X: "Introducing S1, our new foundation model that learns from one example.
It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning.
Watch S1 operate in real-time via in-context learning:" / X
Post Log in Sign up Post Skild AI on X: "Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning:" - Skild AI @SkildAI Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning: 00:00 View media 1:19 PM · Aug 25, 20263.4MViews 427…
1:19 PM ET
Skild AI
1:19 PM ETSkild AI
Skild AI on X: "Introducing S1, our new foundation model that learns from one example.
It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning.
Watch S1 operate in real-time via in-context learning:" / X
Post Log in Sign up Post Skild AI on X: "Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning:" - Skild AI @SkildAI Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning: 00:00 View media 1:19 PM · Aug 25, 20263.4MViews 427…
1:18 PM ET
Skild AI
1:18 PM ETSkild AI
@humanoidsdaily on X
Skild AI's S1 takes a video demonstration as its prompt. No language instruction, no fine-tuning. Show it a task it has never seen, and it gets 66% of the steps right. Describe that same task in words instead, and you get 9%. Prompting a robot with video isn't new. Generalist AI showed it earlier this month, but those runs last seconds. Skild claims S1 is the first to work on 10-minute tasks outside the training distribution. A new task used to mean a hundred hours of teleoperation and a training run. Skild set up a plant potting task at 8:54pm and had the robot running it autonomously 11…
1:16 PM ET
OPOptimi
1:16 PM ETOPOptimi
@elonmusk on X
Megatons to orbit & beyond is a critical piece of the K2 puzzle. The other parts are: massive amounts of solar cell production, AI chip production, millions of humanoid (general purpose) robots and a mass driver on the Moon. My guess is that ~1M Optimi plus ~1GW of solar will constitute the first Von Neumann Probe, a system capable of replicating itself entirely from local materials on any sufficiently large planet or moon. This would enable expansion of civilization throughout the galaxy and reaching K3.
11:07 AM ET
NVIDIA
$NVDA
11:07 AM ETNVIDIA
NVIDIA Announces Jetson Orin Nano 2 Robotics Computer to Redefine Entry-Level Edge AI | NVIDIA Newsroom
NVIDIA Announces Jetson Orin Nano 2 Robotics Computer to Redefine Entry-Level Edge AI August 25, 2026 News Summary: - NVIDIA Jetson Orin Nano 2, a new robotics computer for entry-level edge AI, enables millions of developers worldwide to build robots, delivery and inspection drones, and vision AI systems for frontier physical AI applications. - Jetson Orin Nano 2 delivers 2x the inference performance of its predecessor in the same form factor and consumes 40% less power at the same performance. - More than 3 million developers have built on the NVIDIA robotics stack, with Cognex, Doosan…
10:39 AM ET
@continuumlabs_
10:39 AM ET@continuumlabs_
@continuumlabs_ on X
A robot can learn to perform a task almost perfectly in simulation, then fail when it encounters the real world. That’s the sim-to-real gap. In simulation, everything is controlled: lighting is predictable, surfaces behave consistently, objects have known shapes, and sensors produce clean data. But reality is much messier, a policy that works in a perfectly modeled environment may not generalize when those assumptions break. So how do researchers close the gap? 1️⃣ More realistic simulations Build environments that better capture real-world physics, objects, sensors, and interactions. 2️⃣…
10:05 AM ET
FOFoxglove
10:05 AM ETFOFoxglove
ACTUATE takeaways and inside the FCC bans - by Andra Keay
Robots & Startups Interesting things about robots, robot startups, and the future that's already here. From the epicenter of the robot revolution - Silicon Valley Robotics. By Andra Keay · Over 10,000 subscribers Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Not right now thanks “Andra Keay does a lot of work describing how the development of robotics will shape our future. Her weekly posts are detailed and meticulously written.”...” “Andra Keay does a lot of work describing how the development of robotics…
8:55 AM ET
@spaceandtech_
8:55 AM ET@spaceandtech_
@spaceandtech_ on X
The Unitree G1 humanoid robot can drive a go-kart, controlling the steering wheel and pedals around an indoor track. It can handle tight corners and even perform controlled drifts. Developed with Symbiosis Robotics Direct Perception Control system, the G1 uses vision, body state, and action history to coordinate its movements in real time.
8:01 AM ET
Figure AI
8:01 AM ETFigure AI
Lucian Fogoros on X: "Figure AI's Figure 02 logged 1,250+ hours at BMW Spartanburg loading sheet-metal parts into welding fixtures, achieving 90,000+ parts at over 99% placement accuracy. Agility Robotics Digit accumulated 65,000+ hours across 9 commercial facilities." / X
Post Log in Sign up Post Lucian Fogoros on X: "Figure AI's Figure 02 logged 1,250+ hours at BMW Spartanburg loading sheet-metal parts into welding fixtures, achieving 90,000+ parts at over 99% placement accuracy. Agility Robotics Digit accumulated 65,000+ hours across 9 commercial facilities." - Lucian Fogoros @fogoros Figure AI's Figure 02 logged 1,250+ hours at BMW Spartanburg loading sheet-metal parts into welding fixtures, achieving 90,000+ parts at over 99% placement accuracy. Agility Robotics Digit accumulated 65,000+ hours across 9 commercial facilities. 00:00 View media 8:01 AM · Aug…
5:47 AM ET
XHX-Humanoid
5:47 AM ETXHX-Humanoid
@GordonJohnson19 on X
A robot built by Beijing's X-Humanoid ran 100 meters in 9.39 seconds on Saturday. Bolt's record is 9.58. Elsewhere at those games, robots tripped, came apart, and one caught fire. Everyone is quoting the one that caught fire. That is not the part that matters. This is. China installed roughly 276,000 industrial robots last year. The US installed about 38,000. China's operational stock is roughly 2 million units against our 394,000. Chinese firms shipped something like 80% of the world's humanoids and hold ~85% of the market. Our response, on July 28, was to add foreign-made humanoids to the…
5:31 AM ET
NENEURA
5:31 AM ETNENEURA
NEURA Gym: Physical AI Training and Infrastructure | NEURA
Skip to content The Fastest Path from Human Expertise to Deployable Robot Skills Get in contact \\ \\ The Challenges Facing Industrial Leaders Today Physical AI needs real-world training data: vision, sound, touch, force, spatial awareness. None of it can be sourced online or generated synthetically. With 120,000× less training data than large language models and skilled labor declining, every month without action carries a cost. Download Brochure\\ \\ Lack of Skilled Workforce Experienced operators retire. Their knowledge leaves with them. Deployment Risk on the Floor Untested robots on a…
the most interesting hardware in robotics isn't robots. @sundayrobotics built a skill capture glove so regular people can record chores. proception built a glove for dexterous hand data. UMI turned gripper data collection into a $300 tool. capture devices are the moat.
Skip to main content Exclusive news, data and analytics for financial market professionalsLearn more aboutRefinitiv Item 2 of 2 Unitree CEO Wang Xingxing speaks about capabilities of company’s G1 humanoid robot during the 2026 World Robot Conference, in Beijing, China, August 20, 2026. REUTERS/Maxim Shemetov/File Photo \[2/2\] Unitree CEO Wang Xingxing speaks about capabilities of company’s G1 humanoid robot during the 2026 World Robot Conference, in Beijing, China, August 20, 2026. REUTERS/Maxim Shemetov/File Photo Purchase Licensing Rights, opens new tab - Summary - Companies - Unitree…
8:00 PM ET
Figure
8:00 PM ETFigure
Introducing Index: Building The World’s Largest and Most Diverse Physical Dataset
Introducing Index: Building The World’s Largest and Most Diverse Physical Dataset August 25, 2026 Today we're coming out of stealth with the most diverse robot training dataset ever built. The data needed to scale a truly general purpose robot doesn't exist on the internet - it has to come from the real world: a global sampling of physics captured across every environment on earth. For the last 4 months, we’ve been building a Figure-exclusive pipeline to scale data collection at higher throughputs, with broad diversity and strict quality standards. - While in stealth, we've crossed 264,000…
Hosted By Edmond Jono Hart James (Jingxi) Xu Mene Mazarakis Angela Zhang Manfredi Bernardi Adam 134 Went Akshobhya Gupta, Hannah Tsui and 132 others Contact the Host Report Event AI 🤖🍨 Sundae Robotics 06: V-JEPA 2 & Predicting Physical Intelligence Hosted by Edmond & 6 others Aug 30 Sunday, August 30 2:00 PM - 5:00 PM PDT Register to See Address Atherton, CA Past Event This event ended 2 days ago. Welcome! To join the event, please register below. Request to Join About Event 🤖🍨 Grab a sundae and join Sundae Robotics, a private, invite-only Sunday series bringing together robotics…
4:07 PM ET
XMXPeng Motors
4:07 PM ETXMXPeng Motors
XPeng Motors humanoid robot unit Dogotix raises $900M - The Robot Report
The Robot Report Continue to Site Facebook X LinkedIn Reddit Pinterest Share XPeng’s Dogotix unit is developing the IRON humanoid robot. Source: XPeng Like other global automakers, XPeng Motors is branching into humanoid robots. The electric vehicle manufacturer today said that its Dogotix robotics unit has raised more than $900 million in its initial funding round, bringing its pre-money valuation to $5 billion and post-transaction valuation to more than $6.3 billion. XPeng said it plans to use the investment to further develop hardware and software, collect data, train physical AI models,…
3:50 PM ET
https://x.com/bmontxna
3:50 PM EThttps://x.com/bmontxna
b on X: "@cixliv is it true though that even if we solve manufacturing in the US we will still rely on China for rare earth minerals" / X
Post Log in Sign up Post b on X: "@cixliv is it true though that even if we solve manufacturing in the US we will still rely on China for rare earth minerals" - CIX 🦾 @cixliv Aug 24 I don’t think Americans understand how behind we are in robotics. \- Most “American” humanoids e.g. Figure/Optimus using Chinese parts. \- Not shipping a single bipedal humanoid. \- US is producing small batches of 10-20 for R&D while China is shipping tens of thousands. 111 48 691 77K - b @bmontxna is it true though that even if we solve manufacturing in the US we will still rely on China for rare earth minerals…
1:32 PM ET
https://x.com/seohong_park
1:32 PM EThttps://x.com/seohong_park
Seohong Park on X: "Behavioral cloning mystery
https://t.co/VqxzvcfGSx
I wrote a new blog post about "mysteries" in behavioral cloning that appear with real-world robot data (e.g., overfitting is "good"). I also tried to demystify them and shared my thoughts!" / X
Post Log in Sign up Post Seohong Park on X: "Behavioral cloning mystery https://t.co/VqxzvcfGSx I wrote a new blog post about "mysteries" in behavioral cloning that appear with real-world robot data (e.g., overfitting is "good"). I also tried to demystify them and shared my thoughts!" - Seohong Park @seohong\park Behavioral cloning mystery seohong.me/blog/behaviora… I wrote a new blog post about "mysteries" in behavioral cloning that appear with real-world robot data (e.g., overfitting is "good"). I also tried to demystify them and shared my thoughts! View media 1:32 PM · Aug 24,…
9:15 AM ET
https://x.com/RoboPapers
9:15 AM EThttps://x.com/RoboPapers
RoboPapers on X: "Instead of choosing between training a world model and training a language conditioned robot policy, why not do both? LDA-1B s a new foundation model that is trained on 30,000 hours of human and robot interaction data.
Part of the secret is that LDA-1B jointly learns forward … / X
Post Log in Sign up Post RoboPapers on X: "Instead of choosing between training a world model and training a language conditioned robot policy, why not do both? LDA-1B s a new foundation model that is trained on 30,000 hours of human and robot interaction data. Part of the secret is that LDA-1B jointly learns forward dynamics, action prediction, and visual forecasting, all in a structured DINO latent space which avoids the pitfalls of redundant pixel-level prediction which isn’t necessarily aligned robot action. This approach works on both dexterous hands and simple robot grippers; it also…
9:15 AM ET
@RoboPapers
9:15 AM ET@RoboPapers
@RoboPapers on X
Instead of choosing between training a world model and training a language conditioned robot policy, why not do both? LDA-1B s a new foundation model that is trained on 30,000 hours of human and robot interaction data. Part of the secret is that LDA-1B jointly learns forward dynamics, action prediction, and visual forecasting, all in a structured DINO latent space which avoids the pitfalls of redundant pixel-level prediction which isn’t necessarily aligned robot action. This approach works on both dexterous hands and simple robot grippers; it also generalizes across objects, tasks, and…
4:00 AM ET
ARAxis Robotics
4:00 AM ETARAxis Robotics
@axisrobotics on X
Axis Weekly Last week, we closed the remaining replay and runtime gaps between the browser, policy server, and physics stack — then scaled the coverage of our task generation engine (TaskGen). An articulated asset library is now in the generation path, the full RoboCasa scene grid is online, and a cleaner long- versus short-horizon task split is ready for training and distillation. Key updates: • Replay & runtime: Policy and human-trajectory replay now match the frontend path, with web runtime reaching full replay fidelity. Scene loads faster, and simulation pauses automatically when idle. •…
12:50 AM ET
@TheHumanoidHub
12:50 AM ET@TheHumanoidHub
@TheHumanoidHub on X
Generalist AI just released GEN-1.5. It might be robotics' GPT-3 moment. What is one-shot learning via in-context prompting? In the case of language models like GPT-3, including a Q&A example in the prompt before the actual question improved performance across a broad suite of language tasks. For example: Prompt: "Q: Who wrote Romeo and Juliet? A: William Shakespeare Q: Who wrote War and Peace?" [model outputs "Leo Tolstoy"] Similar capabilities are now emerging in GEN-1.5, where a short example (a few seconds of demonstration ) alongside language and sensory inputs can solve tasks the model…
12:41 PM ET
WLWorld Labs
12:41 PM ETWLWorld Labs
Bringing Marble to Life | World Labs
Nov 12, 2025A behind-the-scenes look at how Marble powered the creation of its own launch story. Bringing Marble to Life World Labs: Just Imagine - YouTube Tap to unmute World Labs: Just Imagine World Labs World Labs5.53K subscribers Overview Copy link to this section When the World Labs team set out to create Marble’s first marketing video, they made a bold decision: to build it with Marble itself. The result was a launch video created using the same technology it introduced. Over the course of a few weeks, hundreds of 3D worlds were imagined, refined, and brought into the stage pipeline.…
12:41 PM ET
PRPromise
12:41 PM ETPRPromise
From Archive to Production: A Hybrid Workflow with Marble | World Labs
Aug 12, 2026How Promise used Marble to transform archival imagery into immersive 3D environments for Harlan Coben’s Final Twist. From Archive to Production: A Hybrid Workflow with Marble Using Hybrid Production to Reconstruct Crime Scenes - YouTube Tap to unmute Using Hybrid Production to Reconstruct Crime Scenes Promise Promise573 subscribers Overview Copy link to this section For Harlan Coben's Final Twist on Paramount+ and CBS, Promise developed a hybrid production workflow that combined World Labs' Marble, AI-assisted image restoration, artist-led environment creation, and virtual…
12:41 PM ET
https://x.com/theworldlabs
12:41 PM EThttps://x.com/theworldlabs
World Labs on X: "Viewing these worlds at full scale on an LED stage is mesmerizing.
From 16K LED volumes to real-time production workflows, here are a few ways Marble is being used in virtual production and VFX ↓" / X
Post Log in Sign up Post World Labs on X: "Viewing these worlds at full scale on an LED stage is mesmerizing. From 16K LED volumes to real-time production workflows, here are a few ways Marble is being used in virtual production and VFX ↓" - World Labs @theworldlabs Viewing these worlds at full scale on an LED stage is mesmerizing. From 16K LED volumes to real-time production workflows, here are a few ways Marble is being used in virtual production and VFX ↓ 00:00 View media 12:41 PM · Aug 20, 202618.7KViews 5 14 110 27 - World Labs @theworldlabs Aug 20 Promise used Marble as part of a hybrid…
12:17 PM ET
GEGeneralistAI
12:17 PM ETGEGeneralistAI
Will Knight on X: "I'm usually wary about talk of "the ChatGPT moment for robots" because language is less complex than the physical world. After visiting @GeneralistAI, though, where I saw their robots perform impressive manipulation with just a prompt, I think you can see it happening in a limite… / X
Post Log in Sign up Post Will Knight on X: "I'm usually wary about talk of "the ChatGPT moment for robots" because language is less complex than the physical world. After visiting @GeneralistAI, though, where I saw their robots perform impressive manipulation with just a prompt, I think you can see it happening in a limited way. (Thanks to @peteflorence and co for having me!) https://t.co/VdsK6jE7rS" - Will Knight @willknight I'm usually wary about talk of "the ChatGPT moment for robots" because language is less complex than the physical world. After visiting @GeneralistAI, though, where I…
12:01 PM ET
NVIDIA
$NVDA
12:01 PM ETNVIDIA
Cosmos 3 Post-Training in Action With Aigen and Linker Vision | Cosmos Labs - Live Broadcast by NVIDIA Robotics / X
\\ \\ REPLAY NVIDIA Robotics @NVIDIARobotics Cosmos 3 Post-Training in Action With Aigen and Linker Vision \| Cosmos Labs Scan to get the app
12:00 PM ET
https://x.com/Majumdar_Ani
12:00 PM EThttps://x.com/Majumdar_Ani
Anirudha Majumdar on X: "Very cool work, Pete! I'm curious if you've tried an extreme version of this: no in-context example at all; just place objects in front of the robot and see if it can infer the task.
I suspect this will have non-trivial success rates, which would also allow you to figure … / X
Post Log in Sign up Post Anirudha Majumdar on X: "Very cool work, Pete! I'm curious if you've tried an extreme version of this: no in-context example at all; just place objects in front of the robot and see if it can infer the task. I suspect this will have non-trivial success rates, which would also allow you to figure out how much of the benefit is actually coming from the prompt (rather than pure zero-shot task inference + capability). I remember Russ showed something like this in his Stanford talk on LBMs last year: https://t.co/0hEBrVlfOQ" - Pete Florence @peteflorence Aug 19 Ever since…
11:48 AM ET
@DrJimFan
11:48 AM ET@DrJimFan
@DrJimFan on X
Seeing a hype wave around GEN-1.5, and rightfully so. Lots of respect to Pete & Andy for executing so well. The secret is in the naturally repetitive motions in human-collected data. There're 2 main sources for such repetitions: (1) Symmetric patterns. Sorting, tidying, and assembling almost never finish in one motion. Open any assembly manual from IKEA, and you find most objects symmetrical. You drive one bolt, then its twin, then the next pair. Every {bolt A, bolt B} pair is a natural continuation in context, and the second instance is a free training signal that imitates the first…
11:13 AM ET
DADandy
11:13 AM ETDADandy
Jason Shuman on X: "Too many Physical AI founders are obsessed with the technology.
The team at Dandy is obsessed with the outcome.
Over the last 18 months, Dandy has become a leading Physical AI business that is delivering the highest quality crowns at industry leading prices.
And under the h… / X
Post Log in Sign up Post Jason Shuman on X: "Too many Physical AI founders are obsessed with the technology. The team at Dandy is obsessed with the outcome. Over the last 18 months, Dandy has become a leading Physical AI business that is delivering the highest quality crowns at industry leading prices. And under the hood the technology breakthroughs are insane 1\. AI Crown Design - the team built their own model from scratch to drive down the cost of design and improve design accuracy that has led to industry leading remake rates 2\. Automated Nesting Technology - Maximizes their yield on CNC…
10:55 AM ET
Figure
10:55 AM ETFigure
Nova on X: "This was few months ago. I wonder how capable they are now 👀🤖 @figureonsol @Figure_robot @adcock_brett" / X
Post Log in Sign up Post Nova on X: "This was few months ago. I wonder how capable they are now 👀🤖 @figureonsol @Figure\robot @adcock\brett" - Nova @Nova57236068 This was few months ago. I wonder how capable they are now 👀🤖 @figureonsol @Figure\robot @adcock\brett CyberRobo @CyberRobooo Feb 1 Figure Helix's Evolution:From half-body to whole -body Figure03, powered by Helix 2, is more like a household helper. In a kitchen space, it neatly organizes cups, bowls, and plates from top to bottom, left to right, from drawers to cupboards, cabinets, and sinks. These long Show more 00:00 View…
9:54 AM ET
FRFlexion Robotics
9:54 AM ETFRFlexion Robotics
@spaceandtech_ on X
Humanoid robots often struggle with tasks that involve many steps and require them to recover from mistakes. Flexion Robotics developed Reflect V1.0, a robotics intelligence platform designed to help robots complete complex tasks autonomously without a human operator. It combines AI for perception, planning, motion control, and reinforcement learning to help robots understand situations, take action, recover from errors, and improve over time.
7:00 AM ET
https://www.facebook.com/48576411181
7:00 AM EThttps://www.facebook.com/48576411181
Ability Neurotech Infrared BCI to Begin Human Trials - IEEE Spectrum
IEEE.org IEEE Xplore IEEE Standards IEEE Job Site More Sites Sign In Join IEEE The September issue of IEEE Spectrum is here! Download PDF ↓ Close bar Return to homepage Brain Implant Uses Infrared Light to Send Neural Signals Share FOR THE TECHNOLOGY INSIDER Search: Explore by topic Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics Semiconductors Telecommunications Transportation IEEE Spectrum FOR THE TECHNOLOGY INSIDER Topics Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics…
7:00 AM ET
https://www.facebook.com/48576411181
7:00 AM EThttps://www.facebook.com/48576411181
Ability Neurotech Infrared BCI to Begin Human Trials - IEEE Spectrum
IEEE.org IEEE Xplore IEEE Standards IEEE Job Site More Sites Sign In Join IEEE The September issue of IEEE Spectrum is here! Download PDF ↓ Close bar Return to homepage Brain Implant Uses Infrared Light to Send Neural Signals Share FOR THE TECHNOLOGY INSIDER Search: Explore by topic Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics Semiconductors Telecommunications Transportation IEEE Spectrum FOR THE TECHNOLOGY INSIDER Topics Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics…
4:24 AM ET
BRBooster Robotics
4:24 AM ETBRBooster Robotics
Booster Robotics on X: "Excited to see our work featured in Science Robotics.
This research explores a new vision-driven controller for humanoid soccer, tested on Booster Robotics’ humanoid robots in real-world competitive settings.
From research to the field, we’re pushing humanoid soccer forwa… / X
Post Log in Sign up Post Booster Robotics on X: "Excited to see our work featured in Science Robotics. This research explores a new vision-driven controller for humanoid soccer, tested on Booster Robotics’ humanoid robots in real-world competitive settings. From research to the field, we’re pushing humanoid soccer forward." - Booster Robotics @boosterobotics Excited to see our work featured in Science Robotics. This research explores a new vision-driven controller for humanoid soccer, tested on Booster Robotics’ humanoid robots in real-world competitive settings. From research to the field,…
4:14 AM ET
ARAXIS ROBOTICS
4:14 AM ETARAXIS ROBOTICS
FAQ | AXIS ROBOTICS
01Getting Started16 What do I need to use Axis Hub? A modern browser (Chrome, Firefox, Safari, or Edge) on a desktop or laptop. No GPU, no downloads, no special hardware. The physics engine — MuJoCo, compiled to WebAssembly — runs locally in your browser. How do I create an account? Sign up through Privy — you can use your email, Google account, X (Twitter), or connect an existing wallet. If you don't have a wallet, Privy creates one for you automatically. See Getting Started. What is the Axis Hub wallet? A custodial wallet created for you automatically by Privy when you sign up, so you don't…
3:33 AM ET
MEMecka
3:33 AM ETMEMecka
Mecka — The Data Engine for Physical AI
Document Index✕ - 01 Meet Mecka - 02 The Challenge - 03 The Mecka Loop - 04 Signal & Action Primitives - 05 Platform & Egoverse - 06 Contact - 07 FAQ - → Careers 01 /Telemetryreal-world sensorfusion02 /Locomotionbase rotation · J103 /Kinematicslink pose & trajectory04 /Degrees of Freedom6-axis articulation05 /Motion Capturejoint-angle telemetry06 /Contact Datagrasp · force ·tactile FIG.01 Robotics Operations Unit mecka The data and deployment layer for physical AI. FortuneWe raised $60M to power robot learning data ▶ Launch FilmWatch the Mecka launch film EgoverseAn ecosystem for robot…
1:58 AM ET
ARAxis Robotics
1:58 AM ETARAxis Robotics
Axis Robotics on X: "Finally, we’ve made it into the Top 3 DApps on @Base.
Base is the hub for Physical AI. 🤖" / X
Post Log in Sign up Post Axis Robotics on X: "Finally, we’ve made it into the Top 3 DApps on @Base. Base is the hub for Physical AI. 🤖" - Axis Robotics @axisrobotics Finally, we’ve made it into the Top 3 DApps on @base. Base is the hub for Physical AI. 🤖 View media 1:58 AM · Aug 20, 202653.5KViews 233 72 690 15 - PL 漂亮 (✱,✱) @plpiaoliang Aug 20 wen top 1 4 12 328 - Base APAC @baseapac Aug 20 👀 1 10 126 - 🟠Fycee (✱,✱) \| CryptitaPlays🛸 @EironFycee Aug 20 Oh gosh! This is awesome news! Proud @axisroboticsPh lead here! Reply 4 178 Scan to get the app
3:40 PM ET
GAGeneralist AI
3:40 PM ETGAGeneralist AI
Generalist on X: "Or when fine-tuned to place a block into a bowl, it can clear obstacles (like a piece of paper covering the bowl) to complete the task, despite that not being in the demonstrations." / X
Post Log in Sign up Post Generalist on X: "Or when fine-tuned to place a block into a bowl, it can clear obstacles (like a piece of paper covering the bowl) to complete the task, despite that not being in the demonstrations." - Generalist @GeneralistAI Aug 19 Introducing GEN-1.5, a one-shot learner. It can learn new tasks in a few seconds. Show it what to do, and it generalizes. This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general intelligence for the physical world. 00:00 View media 313 1.7K 12K 3.4M - Generalist @GeneralistAI…
3:40 PM ET
GAGeneralist AI
3:40 PM ETGAGeneralist AI
Generalist on X: "GEN-1.5, our latest embodied foundation model, can learn new tasks prompted with 3 - 12 seconds of a single demonstration, no gradient updates or fine-tuning. It generalizes prompts to new situations, recovers from mistakes, and improvises new strategies to reach the same goal." / X
Post Log in Sign up Post Generalist on X: "GEN-1.5, our latest embodied foundation model, can learn new tasks prompted with 3 - 12 seconds of a single demonstration, no gradient updates or fine-tuning. It generalizes prompts to new situations, recovers from mistakes, and improvises new strategies to reach the same goal." - Generalist @GeneralistAI Aug 19 Introducing GEN-1.5, a one-shot learner. It can learn new tasks in a few seconds. Show it what to do, and it generalizes. This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general…
12:00 PM ET
NVIDIA
$NVDA
12:00 PM ETNVIDIA
Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control | NVIDIA Technical Blog
Technical Blog Subscribe Related Resources Robotics Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control Aug 19, 2026 By Saeed Babamohamadi +12 Like Discuss (0) - L - T - F - R - E AI-Generated Summary - NVIDIA Jetson Thor can run the 4B Cosmos 3 Edge omni-model natively for on-device robot manipulation policies. - Post-training Cosmos 3 Edge on the Cosmos3-DROID dataset produces a policy that generates action chunks in about 1.53 seconds on Jetson AGX Thor T5000, enabling continuous real-time control. - In closed-loop RoboLab evaluation, the post-trained Edge policy reaches 22.9%…
11:40 AM ET
PRPrismaX
11:40 AM ETPRPrismaX
Nick Rotenberg on X: "📢 Why Human Expertise Matters
When I first discovered @PrismaXai it wasn't just the robots that attracted me.
I was intrigued by the idea that people from anywhere in the world could help train them.
Physical AI needs more than just powerful hardware. It needs human experti… / X
Post Log in Sign up Post Nick Rotenberg on X: "📢 Why Human Expertise Matters When I first discovered @PrismaXai it wasn't just the robots that attracted me. I was intrigued by the idea that people from anywhere in the world could help train them. Physical AI needs more than just powerful hardware. It needs human expertise, precise demonstrations, and people who understand what good robot behavior looks like. Humans Are Still Part of the Process A robot can perform an action. ▪️ But how do we know if that action was actually correct? ▪️ Was the object placed properly? ▪️ Was the movement…
9:57 PM ET
Unitree Robotics
9:57 PM ETUnitree Robotics
Unitree Robotics surges 629% to US$66 billion valuation in Shanghai share debut | South China Morning Post
Edition: International SUBSCRIBE Get unlimited access to the SCMP HIGHLIGHTS Donald Trump’s China policy\\ NEW US-China relations Hong Kong economy News Hong Kong China Economy Asia World Sport This Week in Asia US Elections Business & Tech Business Tech Opinion Latest Lifestyle Lifestyle People & Culture Style PostMag K-pop Outdoor Cooking More + Video Talking Post SCMP Films Infographics Pictures Podcasts SCMP Series Explained SCMP Spotlight Newsletters Special Reports Games Topics US-China relations Artificial intelligence (AI) Donald Trump’s China policy SpaceX Fifa World Cup 2026 Nvidia…
8:00 PM ET
Skild AI
8:00 PM ETSkild AI
Introducing S1: In-Context Learning for Robotics | Skild AI
0:00 / 0:00 1× Introducing S1: In-Context Learning for Robotics Unseen tasks10-minute horizonsOne video promptNo post-training 13-minute read Contents Introduction Why In-Context Learning for Robotics? S1: An In-Context Learner What does S1 learn from context? The Data Engine S1 In Action Seen tasks Long-horizon unseen tasks ICL scaling laws Emergent Properties Robustness and common-sense behavior Quantifying ICL robustness to distribution shifts ICL demonstration efficiency Closing Remarks References Citation Introduction The evolution of language modeling provides a blueprint for turning…
8:00 PM ET
Skild AI Team
8:00 PM ETSkild AI Team
Introducing S1: In-Context Learning for Robotics | Skild AI
0:00 / 0:00 1× Introducing S1: In-Context Learning for Robotics Unseen tasks10-minute horizonsOne video promptNo post-training 13-minute read Contents Introduction Why In-Context Learning for Robotics? S1: An In-Context Learner What does S1 learn from context? The Data Engine S1 In Action Seen tasks Long-horizon unseen tasks ICL scaling laws Emergent Properties Robustness and common-sense behavior Quantifying ICL robustness to distribution shifts ICL demonstration efficiency Closing Remarks References Citation Introduction The evolution of language modeling provides a blueprint for turning…
10:00 AM ET
https://www.facebook.com/48576411181
10:00 AM EThttps://www.facebook.com/48576411181
AME Agent Swarms Quietly Rewrite the Workflow - IEEE Spectrum
IEEE.org IEEE Xplore IEEE Standards IEEE Job Site More Sites Sign In Join IEEE Return to homepage From AI Copilots to Agent Swarms Share FOR THE TECHNOLOGY INSIDER Search: Explore by topic Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics Semiconductors Telecommunications Transportation IEEE Spectrum FOR THE TECHNOLOGY INSIDER Topics Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics Semiconductors Telecommunications Transportation Sections Features News Opinion Careers DIY…
10:21 PM ET
NVIDIA
$NVDA
10:21 PM ETNVIDIA
NVIDIA on X: "Great to welcome @LGE_Global Group Chairman Kwang-mo Koo and LG leaders to NVIDIA as we enter the next chapter of our collaboration.
Together, we’re expanding our work across AI infrastructure, physical AI and robotics.
We’re excited about what our teams can build together." / X
Post Log in Sign up Post NVIDIA on X: "Great to welcome @LGE\Global Group Chairman Kwang-mo Koo and LG leaders to NVIDIA as we enter the next chapter of our collaboration. Together, we’re expanding our work across AI infrastructure, physical AI and robotics. We’re excited about what our teams can build together." - NVIDIA @nvidia Great to welcome @LGE\Global Group Chairman Kwang-mo Koo and LG leaders to NVIDIA as we enter the next chapter of our collaboration. Together, we’re expanding our work across AI infrastructure, physical AI and robotics. We’re excited about what our teams can build…
10:36 AM ET
Figure
10:36 AM ETFigure
Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
Post Log in Sign up Post - Theo Gage @realtheogg 3 Billion Humanoid Robots Could Exist. The Question Nobody Is Asking Is Where They’ll Live. Bank of America thinks the world will have 3 billion humanoid robots by 2060 Read that again. Not 3 million. Not 30 million. Three billion — more than the roughly 1.5 billion cars currently on Earth, on a per-capita basis. The obvious reaction: why would humanity ever need that many? Here's why the forecast isn't as crazy as it sounds. BofA's analysts don't frame this as science fiction. They frame it as a demographics problem — aging populations in…
1:23 AM ET
Tesla
$TSLA
1:23 AM ETTesla
Alternate Jones on X: "FWIW, I asked Grok 4.5 and Fable 5 the following: If a company first develops digital ASI and then uses it to engineer general-purpose humanoid robots, which company would be easier to disrupt: Tesla or SpaceX?
Grok 4.5 (Expert): **Tesla is easier to disrupt.**
An ASI-first… / X
Post Log in Sign up Post Alternate Jones on X: "FWIW, I asked Grok 4.5 and Fable 5 the following: If a company first develops digital ASI and then uses it to engineer general-purpose humanoid robots, which company would be easier to disrupt: Tesla or SpaceX? Grok 4.5 (Expert): \\Tesla is easier to disrupt.\\ An ASI-first company that then uses that intelligence to design and produce superior general-purpose humanoid robots has a much more direct, higher-leverage attack surface against Tesla than against SpaceX. The difference comes down to domain physics, regulatory/infrastructure scarcity,…
2:00 AM ET
1X
2:00 AM ET1X
Melvin Schwarz on X: "We deployed humanoid robots into a real factory in under 90 days!
Today, we are coming out of stealth with Nucleus.
Our team previously worked on some of robotics’ toughest challenges at 1X, Foundation,
NEURA, Agile Robots, CERN and ESA.
We have come together because Europ… / X
Post Log in Sign up Post Melvin Schwarz on X: "We deployed humanoid robots into a real factory in under 90 days! Today, we are coming out of stealth with Nucleus. Our team previously worked on some of robotics’ toughest challenges at 1X, Foundation, NEURA, Agile Robots, CERN and ESA. We have come together because Europe is losing its ability to compete. Reversing that requires abundant, affordable physical labor. But we see that current approaches to get there might not be fast enough. That's why we deploy before full autonomy, using large-scale supervision and AI agents to make our fleet…
8:00 PM ET
NVIDIA
$NVDA
8:00 PM ETNVIDIA
Hydra-0: Action Flow for Generalist World Modeling and Control | NVIDIA Isaac
Overview video Figure 1: Action flow as a shared control interface. Top: Hydra-0 learns from diverse interaction videos featuring egocentric human demonstrations, handheld UMI grippers, bimanual robot arms, and single-arm robots. Middle: Visible embodiment motion is represented as image-plane flow trajectories, placing heterogeneous interactions in a common, pixel-aligned action flow space independent of embodiment-specific joint or end-effector coordinates. This unified interface enables a single generalist world model to learn from multi-embodiment data and transfer across interaction…
8:00 PM ET
BMW Group
8:00 PM ETBMW Group
Press-Information June 25th 2026
Press-Information June 25th 2026 BMW Group advances the use of Physical AI in production with Figure 03 project in Spartanburg - Figure AI demonstrates Figure 03 humanoid robots in new use case at BMW Group Plant Spartanburg. - Robot development runs in parallel at BMW Group Plant Spartanburg and at Figure AI. - Assembly Hall in Spartanburg features BMW iFACTORY applications in artificial intelligence and virtualization. Munich/Spartanburg, USA. BMW Group intensifies the usage of digitalization and the use of artificial intelligence (AI) in production. With so-called Physical AI, which…
4:01 PM ET
NVIDIA
$NVDA
4:01 PM ETNVIDIA
5 Physical AI infrastructure platforms shaping robotics in 2026 - The Robot Report
Facebook X LinkedIn Reddit Pinterest Share From accelerated computing and simulation to data operations, open-source tooling, validation engineering, and continuous learning, these five platforms represent distinct control points in the emerging physical AI stack. For most of the modern AI boom, infrastructure had a single center of gravity: compute. Models grew larger, training runs consumed more GPUs, and the industry organized itself around accelerators, cloud clusters, training frameworks, and developer software. That stack was sufficient when AI’s outputs were text, images, video, or…
4:01 PM ET
NVIDIA
$NVDA
4:01 PM ETNVIDIA
5 Physical AI infrastructure platforms shaping robotics in 2026 - The Robot Report
Facebook X LinkedIn Reddit Pinterest Share From accelerated computing and simulation to data operations, open-source tooling, validation engineering, and continuous learning, these five platforms represent distinct control points in the emerging physical AI stack. For most of the modern AI boom, infrastructure had a single center of gravity: compute. Models grew larger, training runs consumed more GPUs, and the industry organized itself around accelerators, cloud clusters, training frameworks, and developer software. That stack was sufficient when AI’s outputs were text, images, video, or…
12:00 PM ET
Google DeepMind
$GOOGL
12:00 PM ETGoogle DeepMind
Gemini Robotics 2 brings whole body intelligence to robots — Google DeepMind
Skip to main content July 30, 2026 Models Gemini Robotics 2 brings whole body intelligence to robots Carolina Parada Share Your browser does not support the video tag. From feet to fingertips — we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Now, that vision takes a significant stride forward. Most robots are pre-programmed or teleoperated for narrow, repetitive task sequences. They lack the ability to truly learn for…
12:00 PM ET
Google DeepMind
$GOOGL
12:00 PM ETGoogle DeepMind
Gemini Robotics 2 brings whole body intelligence to robots — Google DeepMind
Skip to main content July 30, 2026 Models Gemini Robotics 2 brings whole body intelligence to robots Carolina Parada Share Your browser does not support the video tag. From feet to fingertips — we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Now, that vision takes a significant stride forward. Most robots are pre-programmed or teleoperated for narrow, repetitive task sequences. They lack the ability to truly learn for…
1:45 PM ET
BMW Group
1:45 PM ETBMW Group
BMW Group deploys Figure 03
The Robot Report Continue to Site Facebook X LinkedIn Reddit Pinterest Share Figure 03 adds tactile-sensor hands, palm cameras, wireless charging, and speech-to-speech audio over its predecessor. \| Source: BMW Group BMW Group is doubling down on its deployment of Figure.AI’s humanoid robots. The automaker last week announced that, following its successful deployment with Figure 02 at its plant in Spartanburg, S.C., it will deploy the company’s latest Figure 03 robot. “Plant Spartanburg is the birthplace of humanoid robotics in BMW Manufacturing’s operational day-to-day activities,” said…
9:57 PM ET
https://x.com/Sylviaposts
9:57 PM EThttps://x.com/Sylviaposts
Sylvia Li on X: "Spent the day at Deep Tech Week and left with one strong conviction:
the next wave of AI will not be won only by better models.
It will be won by the infrastructure that lets intelligence touch the physical world.
For anyone building in robotics, chips, manufacturing, energy, or… / X
Post Log in Sign up Post Sylvia Li on X: "Spent the day at Deep Tech Week and left with one strong conviction: the next wave of AI will not be won only by better models. It will be won by the infrastructure that lets intelligence touch the physical world. For anyone building in robotics, chips, manufacturing, energy, or physical AI, this feels increasingly obvious. Physical AI is not just an AI problem. It is a data problem, a hardware problem, a deployment problem, and a feedback-loop problem. ChatGPT had the browser. Robotics still does not have a universal distribution layer. For robot…
8:00 PM ET
Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
8:00 PM ETJoseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
Coupled Local and Global World Models for Efficient First Order RL
Real-world tasks solved zero-shot by policies trained entirely inside our learned world models: Push-T with a tabletop manipulator (left), Ego-Centric Grasp and Lift with a G1 humanoid (centre), and Ego-Centric Push Cube with a Go2 quadruped (right). Abstract World models offer a promising avenue for capturing complex environment dynamics where simulators face challenges. However, large-scale world models required for complex real-world settings are computationally expensive to adopt in popular RL approaches. We introduce a novel first-order RL method that enables policy training via a…
8:00 PM ET
Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
8:00 PM ETJoseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
Coupled Local and Global World Models for Efficient First Order RL
Real-world tasks solved zero-shot by policies trained entirely inside our learned world models: Push-T with a tabletop manipulator (left), Ego-Centric Grasp and Lift with a G1 humanoid (centre), and Ego-Centric Push Cube with a Go2 quadruped (right). Abstract World models offer a promising avenue for capturing complex environment dynamics where simulators face challenges. However, large-scale world models required for complex real-world settings are computationally expensive to adopt in popular RL approaches. We introduce a novel first-order RL method that enables policy training via a…
8:00 PM ET
Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
8:00 PM ETJoseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
Coupled Local and Global World Models for Efficient First Order RL
Real-world tasks solved zero-shot by policies trained entirely inside our learned world models: Push-T with a tabletop manipulator (left), Ego-Centric Grasp and Lift with a G1 humanoid (centre), and Ego-Centric Push Cube with a Go2 quadruped (right). Abstract World models offer a promising avenue for capturing complex environment dynamics where simulators face challenges. However, large-scale world models required for complex real-world settings are computationally expensive to adopt in popular RL approaches. We introduce a novel first-order RL method that enables policy training via a…
1:00 AM ET
ALAMI Labs
1:00 AM ETALAMI Labs
Yann LeCun's AMI Labs raises $1.03B to build world models | TechCrunch
Checking your Browser… Verifying... Stuck? Troubleshoot Success! Verification failed Troubleshoot Verification expired Refresh Verification expired Refresh Troubleshoot Cloudflare, opens in a new tab Privacy • Help ababababababababababababcdcdcdcdcdcdcdcdcdcdcdcd efefefefefefefefefefefefghghghghghghghghghghghgh ijijijijijijijijijijijijklklklklklklklklklklklkl Skip to content Image Credits: Ruhani Kaur/Bloomberg via Getty Images / Getty Images AI Share on FacebookShare on XShare on LinkedInShare on RedditShare over EmailCopy Share Link Yann LeCun’s AMI Labs raises $1.03B to build world models…
1:00 AM ET
ALAMI Labs
1:00 AM ETALAMI Labs
Yann LeCun's AMI Labs raises $1.03B to build world models | TechCrunch
Checking your Browser… Verifying... Stuck? Troubleshoot Success! Verification failed Troubleshoot Verification expired Refresh Verification expired Refresh Troubleshoot Cloudflare, opens in a new tab Privacy • Help ababababababababababababcdcdcdcdcdcdcdcdcdcdcdcd efefefefefefefefefefefefghghghghghghghghghghghgh ijijijijijijijijijijijijklklklklklklklklklklklkl Skip to content Image Credits: Ruhani Kaur/Bloomberg via Getty Images / Getty Images AI Share on FacebookShare on XShare on LinkedInShare on RedditShare over EmailCopy Share Link Yann LeCun’s AMI Labs raises $1.03B to build world models…
6:29 PM ET
https://x.com/randallmbriggs
6:29 PM EThttps://x.com/randallmbriggs
Randall Briggs on X: "https://t.co/Qnqls6fiQn" / X
Post Log in Sign up Post - Randall Briggs @randallmbriggs When Everyone Gets to Live like a Billionaire I was inspired to write this article by Aaron Levie’s recent piece titled Jevons Paradox for Knowledge Work where he describes how AI is making it possible for every small business and startup to have access to the same high-quality non-deterministic knowledge work as a Fortune 500 company. If you have not yet read his article, I highly recommend that you do so before coming back to this vision for the future. I believe that humanoid robots will do the same thing in the realm of physical…
3:57 PM ET
Skild AI
3:57 PM ETSkild AI
Skild AI on X: "We built a robot brain that nothing can stop.
Shattered limbs? Jammed motors? If the bot can move, the Brain will move it— even if it’s an entirely new robot body.
Meet the omni-bodied Skild Brain:" / X
Post Log in Sign up Post Skild AI on X: "We built a robot brain that nothing can stop. Shattered limbs? Jammed motors? If the bot can move, the Brain will move it— even if it’s an entirely new robot body. Meet the omni-bodied Skild Brain:" - Skild AI @SkildAI We built a robot brain that nothing can stop. Shattered limbs? Jammed motors? If the bot can move, the Brain will move it— even if it’s an entirely new robot body. Meet the omni-bodied Skild Brain: 00:00 View media 3:57 PM · Sep 24, 20252.4MViews 502 856 6.7K 2.2K - Skild AI @SkildAI Sep 24, 2025 The Skild Brain can control any machine…
10:24 AM ET
Boston Dynamics
10:24 AM ETBoston Dynamics
An Electric New Era for Atlas | Boston Dynamics
We value your privacy We use cookies to enhance your browsing experience, serve personalized ads or content, and analyze our traffic. By clicking "Accept All", you consent to our use of cookies. CustomizeReject AllAccept All Customize Consent Preferences We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below. The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... Show more…
11:00 AM ET
<a href=
11:00 AM ET<a href=
Leveraging Compositionality for One-Shot Imitation Learning | SAIL Blog
De-An Huang, Danfei Xu" /> Leveraging Compositionality for One-Shot Imitation Learning \| The Stanford AI Lab Blog Leveraging Compositionality for One-Shot Imitation Learning De-An Huang, Danfei Xu May 6, 2020 How do you teach a robot to pack your groceries into different boxes? While modern industrial robots are incredibly capable and precise, they require tremendous expertise to program and are designed to execute the exact same motion millions of times. Trying to program a robot to be able to pick up any kind of groceries, each with different characteristics, geometries, and weight, and…
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Physical Intelligence
—Physical Intelligence
Physical-Intelligence/openpi
# openpi openpi holds open-source models and packages for robotics, published by the [Physical Intelligence team](https://www.physicalintelligence.company/). Currently, this repo contains three types of models: - the [π₀ model](https://www.physicalintelligence.company/blog/pi0), a flow-based vision-language-action model (VLA). - the [π₀-FAST model](https://www.physicalintelligence.company/research/fast), an autoregressive VLA, based on the FAST action tokenizer. - the [π₀.₅ model](https://www.physicalintelligence.company/blog/pi05), an upgraded version of π₀ with better open-world…
—
SUStanford University
—SUStanford University
OpenVLA:
OpenVLA: An Open-Source Vision-Language-Action Model Moo Jin Kim∗,1 Karl Pertsch∗,1,2 Siddharth Karamcheti∗,1,3 Ted Xiao4 Ashwin Balakrishna3 Suraj Nair3 Rafael Rafailov1 Ethan Foster1 Grace Lam Pannag Sanketi4 Quan Vuong5,† Thomas Kollar3 Benjamin Burchfiel3 Russ Tedrake3,6 Dorsa Sadigh1 Sergey Levine2 Percy Liang1 Chelsea Finn1 https://openvla.github.io970k Robot Episodes ViT Llama 2 7B Base VLM OpenVLA Vision-Language-Action Model Fine-tune VLM w/ Robot Actions: Closed-Loop Robot Control Policy User: Wipe the table. OpenVLA: [ x, , Grip] = …Δ Δθ Δ Multi-Robot Control & Efficient…
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PRPromise
—PRPromise
From Archive to Production: A Hybrid Workflow with Marble | World Labs
Aug 12, 2026How Promise used Marble to transform archival imagery into immersive 3D environments for Harlan Coben’s Final Twist. From Archive to Production: A Hybrid Workflow with Marble Using Hybrid Production to Reconstruct Crime Scenes - YouTube Tap to unmute Using Hybrid Production to Reconstruct Crime Scenes Promise Promise573 subscribers Overview Copy link to this section For Harlan Coben's Final Twist on Paramount+ and CBS, Promise developed a hybrid production workflow that combined World Labs' Marble, AI-assisted image restoration, artist-led environment creation, and virtual…
π0: A Vision-Language-Action Flow Model for General Robot Control Physical Intelligence Kevin Black, Noah Brown, Danny Driess, Adnan Esmail, Michael Equi, Chelsea Finn, Niccolo Fusai, Lachy Groom, Karol Hausman, Brian Ichter, Szymon Jakubczak, Tim Jones, Liyiming Ke, Sergey Levine, Adrian Li-Bell, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Lucy Xiaoyang Shi, James Tanner, Quan Vuong, Anna Walling, Haohuan Wang, Ury Zhilinsky https://physicalintelligence.company/blog/pi0 # ! 2/ . () /) , && 0'% ) 8:: ! 7 2/ . () /) ' GG ) Z)0./ GSO/, SG L ./O/ ), G mlhg / % (' (G 0 / )S/,G% y&/%,) p . n 2.G .…
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WLWorld Labs
—WLWorld Labs
Bringing Marble to Life | World Labs
Nov 12, 2025A behind-the-scenes look at how Marble powered the creation of its own launch story. Bringing Marble to Life World Labs: Just Imagine - YouTube Tap to unmute World Labs: Just Imagine World Labs World Labs5.53K subscribers Overview Copy link to this section When the World Labs team set out to create Marble’s first marketing video, they made a bold decision: to build it with Marble itself. The result was a launch video created using the same technology it introduced. Over the course of a few weeks, hundreds of 3D worlds were imagined, refined, and brought into the stage pipeline.…
Hosted By Edmond Jono Hart James (Jingxi) Xu Mene Mazarakis Angela Zhang Manfredi Bernardi Adam 134 Went Akshobhya Gupta, Hannah Tsui and 132 others Contact the Host Report Event AI 🤖🍨 Sundae Robotics 06: V-JEPA 2 & Predicting Physical Intelligence Hosted by Edmond & 6 others Aug 30 Sunday, August 30 2:00 PM - 5:00 PM PDT Register to See Address Atherton, CA Past Event This event ended 2 days ago. Welcome! To join the event, please register below. Request to Join About Event 🤖🍨 Grab a sundae and join Sundae Robotics, a private, invite-only Sunday series bringing together robotics…
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Figure
—Figure
How Figure Became the Biggest Name in Robotics | XMAQUINA DAO
Genesis Auction Wave 2! Launches June 24 Get DEUS homeDAO Portal How Figure Became the Biggest Name in Robotics Color theme: Four years, three generations of humanoids, a $39 billion valuation and now one of the largest physical AI data engines ever built. .png) August 27, 2026 Category: Physical AI Read time: 9 minutes Share This: Four years ago, Figure didn’t have a robot. Today, the company is valued at $39 billion, has built more than 1,000 humanoids, has robots working inside BMW, is preparing deployments with another major US retailer, and has developed its own AI models, manufacturing…
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NVIDIA
$NVDA
—NVIDIA
Conference & Program | embeddedworld North America 2026
Skip to main content Skip to footer Conference & Program The premier demonstration and information sharing platform for the embedded community. Innovation, networking and knowledge are all on display. Make the most of the program with the Mobile App - explore sessions and plan your visit. Search for Sessions here! Day 1-3 Tech Sessions Schedule Day 1Tue · Sep 22Day 2Wed · Sep 23Day 3Thu · Sep 24 Exhibition Open 11:00 AM – 6:00 PM Keynote9:30 – 10:30 AM The Next Evolution of Embedded: Open Platform for Autonomous, Agentic Systems Deepu Talla— VP Robotics & Edge AI, NVIDIA Day 1:1 Technical…
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NVIDIA
$NVDA
—NVIDIA
NVIDIA's robot business is already worth $10 billion/year, and China is its best customer | HumanoidHub
News/ trends,china,usa,physical\ai,hardware,government trends,china,usa,physical\ai,hardware,government NVIDIA's robot business is already worth $10 billion/year, and China is its best customer John KoetsierAugust 31, 2026 NVIDIA's physical AI business is already generating roughly $10 billion a year, more than the entire humanoid robot industry combined, with Jensen Huang pointing to a tenfold path over the next decade. A meaningful share of that comes from China, which built about 90% of the world's humanoids last year. But Beijing is racing to build a domestic stack ... Talk about picks…
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DRDiligent Robotics
—DRDiligent Robotics
RoboBrief: Daily Robotics News, Humanoid Robots & AI Automation
Daily robotics intelligence The global robotics briefing desk Your daily robotics intelligence briefing — US, China, India & beyond. Breaking news, analysis, and insights on the global robotics revolution. - 🇺🇸United States - 🇨🇳China - 🇮🇳India - 🇯🇵Japan - 🇩🇪Germany Subscribe Free Read the briefings→ Browse topics Briefings323Briefings CadenceDailyCadence CoverageGlobalCoverage Lead briefing All briefings → Two Humanoid Robots Just Played a Full 11-Point Table Tennis Match \\ \\ HKU and KAI's SMASH 2.0 demonstration matters because table tennis forces robots to combine perception,…
AgiBot World Colosseo: A Large-scale Manipulation Platform
AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems Team AgiBot-World∗ Project website: https://agibot-world.com/ Code: https://github.com/OpenDriveLab/AgiBot-World1M 500k 0 No. Trajectories 7.7× BridgeDatav2 DROID A Universe of Robot Data Human-in-the-loop Versatile Scenarios Robot Platform: AgiBot G1 • 1M+ Trajectories • 217 Tasks• 3,000+ Objects • All-Purpose Sensor Setup RGBD Cameras Visuo-tactile Sensor • Dual-arm Humanoid • 6-Dof Dextrous Hand Tele- operator Robot Manual Review VLM Action Expert 46 66 78 0 30 60 90 Performance RDT…
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WLWorld Labs
—WLWorld Labs
World Labs Atlas
September 1, 2026Introducing Atlas, our new omni world model for spatial intelligence. Atlas: A World Model for Spatial Intelligence World models generate, reconstruct, and simulate any possible world. They understand how worlds appear, behave, and evolve so that we can render imagined worlds for creative users, simulate the real world in high fidelity, and help robots plan actions. At World Labs, we build these general purpose world models in pursuit of spatial intelligence. Today we are introducing Atlas, our next-generation world model. Atlas is an omni model that we pretrained from…
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NVIDIA53Figure48Tesla30Unitree27Skild AI26Agility25Google21BMW20Apptronik12Boston Dynamics12axis robotics11World Labs11Agibot10Hugging Face9Physical Intelligence9Fcc8OpenAI7SoftBank7XPENG7Meta61X5Anthropic5Sanctuary AI5Alibaba4Booster Robotics4DYNA Robotics4General Motors4Generalist4GXO4Hyundai4LG4Schaeffler4Veeda AI4video uploads4A16z3agentic video understanding3Amazon3app downloads3Callosum3Caterpillar3Deep Robotics3dollars3FieldAI3Generalist AI3Lightwheel3LimX Dynamics3Noble Machines3Pollen Robotics3Samsung3Spacex3The University of Hong Kong3Thinking Machines Lab3UnitreeRobotics3VisiveAI3Waymo32077 Ventures2a16z New Media2Aglaé Lab2AI chip inference cluster2Alloy Robotics2AllSpice.io2Alpha Intelligence Capital2Ambarella2AMI Labs2Applied Intuition2Artémis2Association Familiale Mulliez2Atlas2Avnet2BHW Technologies, Ltd.2Bpifrance Digital Venture2BYD2Cargt2Carnegie Mellon2Cedarware Corp2CELUS2DeepSeek2Din Tai Fung2Dojo Five2DynaRobotics2Fable2Fetch Robotics2Finite State2Ford Motor Company2Foxglove2fremont2Gaorong Ventures2giga-texas2GoogleDeepMind2GPT2Gravis Robotics2Green Hills Software2Groupe Industriel Marcel Dassault2Harmonic Drive2HHMI Janelia2IAR2IDG Capital2Imagimob AB2Intel2Juul Labs Inc.2Khosla Ventures2Lingyi iTech2Mentee Robotics2Mercado Libre2Mercedes-Benz2Microchip Technology2mondorobotics2MosChip Technologies Limited2Nabla2napkin production2NEURA2New Legacy Ventures2Nscale2Nucleus2Panasonic2Pixomondo2plant-spartanburg2Proactive International PR2Promise2Publicis Groupe2QNX2Qualcomm2QuEra2Qwen3.8-Max-09022Radical Ventures2Real-Time Innovations (RTI)2Rheem Manufacturing2Rhoda2Runway2Savoir-Faire Linux2SBVA2Scale AI2Sea2Sealevel Systems, Inc.2Soliton Technologies2TASKING USA, LLC2Temasek2Tencent2Thread Group2tokens processed2Toradex2total paid out2total payment2Toyota Motor Manufacturing Canada2Toyota Ventures2training data2Uber2UBTech2Universal Robots2Wayve2weekly active contributors2weekly active users2Wibu-Systems USA2X Square Robot2X-Humanoid2XPENG Robotics2ZEBOX Ventures2Zeroth Bridge2Zhejiang University2Zhipu2アスター2燈2秋田県横手市23D inkjet printing13D reconstruction1ACE Robotics1adaptation time for new robot embodiments1ADLINK1ADLINK_IoT1Advanced Micro Devices Inc1Aeva Technologies Inc1AgiBot World platform comprises over 1 million trajectories.1Agibot's performance in the World Humanoid Robot Games.1Agile Robots1AGILINKai1agility-robotics-robofab-facility1Aigen1Aimalysheva1Alloy Robotics funding1Alphabet1amazon-warehouses1Ambarella Inc1AMD1AMD Ventures1AMI Labs funding1Amount raised by AMI Labs in funding.1Anduril1Another engagement measure on the post.1Another engagement metric.1Antioch1Aramco1Archetype AI1articulated assets1Astribot1Atlas model for spatial intelligence.1Atlas performance1ATOMS1AUKI1Avala1average per-step success1average performance improvement of policies using the dataset.1AVERI1AVITA1AWS1Axis Robotics ranking1badges for contributions in the AXIS campaign.1Bank of America1Bedrock1Beningo Embedded Group1Binance1bipedal humanoids production1BlackRock1BMW Spartanburg1bmw-factory1bmw-spartanburg1bmw-spartanburg-plant1Bosch1Boston Hardware Studios1bottlenecks for scaling intelligent robots.1BrainCo1Bronze medals won by Agibot.1C4 Ventures1california-mega-factory1carbon reduction1Cardinal Group1CareIT1Carnegie Mellon integration time1Caterpillar's operational data.1CATL1Cerebras1Cerebras WSEs needed for reasonable concurrency of 256 requests.1Cerebras WSEs needed for running a large model.1CERN1CGNX1Changan1chemistry1CHERY1Chery Automobile1China National Petroleum1China Southern Power Grid1China Telecom1china’s-ministry-of-industry-and-information-technology1Churchill Capital XI1Citic Securities1CJ Logistics1claimed humanoid $/hour (low)1Clone Robotics1Cloudflare1Cognex1Cognex Corp1Columbia University1commitment on data and compute1commitment to data and compute for the next 12 months1Compute requirements for humanoids.1Contact CI1Continuum Labs1contracted orders1Cooley LLP1Cosmicbrainai1cost of infrastructure1Cost of the GR-1 humanoid1Cover1crowns1Cruise1Current hours of available data for training robots.1Current throughput of valid trajectories collected per hour.1CXMT1CXMT's IPO performance1Cycle time for completing a plug insertion.1cycle time for the insertion task1Dandy1data centers.1data collection1data efficiency comparison1Datadog1DeepgramAI1Delivery timeline for a data center.1Delta in cost due to supply chain differences1Demonstrations collected for the tasks.1deployments of Spot1development timeline of Moby.1development timeline reduction.1Dexmal1Diligent Robotics1Direct wafer paths reduction in latency.1DiscoLoopAI1Dobot1DoorDash1Doosan Bobcat1downloads1DROID dataset robot interaction data1Drones owned by the Pentagon1Dusty Robotics1Dyna1DYNA Robotics Inc.1Dyna-11Dyna-21Dynamo Ventures1eastworlds_io1economic gains1electric vehicle makers building humanoids1Embodied AI model1episodes in RoboLab evaluation1Equinor1ESA1estimated revenue in 20261europe1Event Duration1examples for adapting to new robotic embodiments.1Exor Seeds1external funding round1factory capacity1factory-in-china1fal1Fanuc1Fanuc America1FEV Consulting1Fictiv1Field AI1FieldAI-powered robot1fiftyyears1Figure03 features a cooking and organizing function.1FigureAI1filtered simulation episodes1Flash1Flexion Robotics1FORT Robotics1Foundation1Fourier Intelligence1Fraunhofer1Fudan University1funding for the humanoid company1Further engagement measure on the post.1G1 humanoid grasp and lift task1GAC1Galbot1Galbot G1 swept the three most challenging scenario competitions at #WHRG: Home, Catering, and Retail.1Galbot Robotics1GalbotRobotics1Geely Auto1GEN-1.5 can learn new tasks in a few seconds.1GEN-1.5 model capabilities1General Catalyst1general purpose robot foundation model1GeneralistAI1Genesis AI1GGUF conversion and quantization1global market forecast for humanoid robots by 20271gold medals won at the World Humanoid Robot Games1Gold medals won by Agibot.1GoldmanSachs1government-of-the-republic-of-serbia1Gritt1Grok1Groq1group-plant-leipzig1GrubMarket1guangxi-regional-government1H3 Max Turbo1hams-hall-plant1hardware design1Hark1Harvard University1HCVC1herzogenaurach1Hexagon AB1historic crime scenes1Honda1Horizon Robotics1humanoid market1Humanoid robots1Humanoid robots procurement1humanoid robots shipped in 20251humanoids built1Hydra-0 training1Hyper3D1Hyundai Atlas annual target1ICE's spending on robots.1ICL scaling gains over language prompting are moderate for seen tasks.1IEEE Robotics and Automation Society1IHMC1Index contributor payments1Index uploads1industrial robots installed in China1industrial robots installed in the US1Infineon1insertion trials conducted over 40 minutes1Integration of robotic components.1Intuitive Surgical1investment in Veeda1iRobot1Irregular1issue of IEEE Spectrum1j-hrti-kanto-data-factory-in-narashino,-chiba1Japan's postal service1JD.com1JINGDONG Industrials1justice-department1Kawasaki Heavy Industries1lackawanna-energy-center1land-transport-authority-singapore1Lattice Semiconductor1LDV Capital1Leju Robotics1Li Auto1Lightspeed1likes on Seohong Park's post1Lincoln1Linker Vision1liuzhou-training-center1Long-horizon unseen tasks1Lotus Cars1Madison Air1manipulation tasks1ManusMeta1Manycore Tech1MarathonMP1Marble1market share of Chinese firms in humanoids.1market size for Autonomous AI1Matic1Max tasks available per day during the campaign.1maximum number of times a user can complete the same task.1McAfee1McKinsey & Company1Mecka1memory manufacturer capacity1MERPHI1Microduck1Microduck's cost associated with RAM1Milk Road Pro1Mind Robotics1MiniMax1ministry-of-economy,-trade-and-industry-(meti)1ministry-of-science-and-ict1Minth Group1minth-metal-parts-majur1MIPS, by GF1MISUMI1MIT1MLCommons1Mobileye1Moby deployment in a semiconductor facility.1Model merge process1model size1Morgan Stanley1MorganStanley1Mostik1Motherboard Labs1MP Materials1Munari1Muse1National Council for Social Security Fund1NBT average for RandER.1NBT average with 1% Memory Anchors removed.1NBT average with 10% Memory Anchors removed.1NBT average with 5% Memory Anchors removed.1NEC1Nemotron 3.5 Lightning on Jetson AGX Thor1NEO1NeoSigma1Neura Robotics1Newlab1Nexthop AI1Niron Magnetics1Nissan1nissan-tcat1NobleMachines1Noom1Norbert Health1NotionHQ1NSF1NSF award1Number of contributors for the engine on Base.1Number of downloads of the Index platform.1Number of global contributors and collected trajectories on the platform.1number of objects in AgiBot World.1Number of tasks published.1NVIDIARobotics1Ondas Inc1ONDS1OpenMined1operational stock of industrial robots in China1operational stock of industrial robots in the US1Optimi1Orders for NEO1OUST1Ouster Inc1outsetcap1Owkin1Parasoft1Patient acceptance rate.1payments made1payments made through Index1payments to data creators1payouts1PEAQ1pennsylvania-governor-josh-shapiro1perception system1Perceptron1Perceptron AI1perceptroninc1performance comparison1performance improvement of the proposed policy over prior arts.1Performance metric for model.1performance of Dyna-21performance of S1 compared to VLAs1performance of S1 on novel tasks1Peridio1Personal investment by XPENG founder and co-president1physical AI data delivered1Pink Robotics1PiPER1Ports connecting NPUs within the rack.1Ports connecting to the network of switches.1post-training duration1power consumption comparison of Jetson Orin Nano 21Predicted deployment of humanoid robots in homes.1previous performance of Dyna-11PrismaX1proception1production facilities1production requirement for napkins1production requirements for napkins1Projected cost drop for humanoid robots.1Projected growth in revenue from physical AI.1Projected shortage of healthcare staff.1projected spending1prototype1PSYONIC1Qatar Investment Authority1QuEra controller success rate1Qwen3.5-4B on Jetson Orin Nano1Racepoint Global1rallies1Red Cat Holdings1Reflect V1.0 from Flexion Robotics.1Regal Rexnord1Renesas1replies on Seohong Park's post1retweets on Seohong Park's post1Ricursive Intelligence1Rivian1RLWRLD1RLWRLD_ai1RobbyAnt1RoboCup 20251robofab1RoboSense1robot data collection1robot deployment1robot interaction data from the DROID dataset1robot learning economics1robot programming1robot training1robot trajectories1robot-park1Robotera1robotics-industrial-park1ROBOTIS1Robots & Startups by Andra Keay.1Rockwell Automation1ROSCon Global 20261S1 compared to current VLA models1S1 model capabilities1S1 robot foundation model1S1's accuracy compared to conventional VLA models.1S1's accuracy with one example compared to current VLA models1S1's performance on manipulation tasks1SAGE-10K dataset1SAIC1SambaNova1sanctuary1Saronic1Scale AI data delivery1Schaeffler’s agreement with Humanoid1Science Robotics1SDLC process rewriting1sec1Second State Inc1Secure-IC1Secure-IC – a Cadence Company1seed studio1Seeed1Seeed Studio1Sequoia Capital1Sequoia's fundraising1Serena Capital1Seres1Series A funding for Norbert Health.1Serve Robotics1shanghai1Shanghai AI Lab1Shanghai Innovation Institute1Shield AI1ShuoYangAIR1Silver medals won by Agibot.1sim-to-real gap1Simulated robot bodies1Singapore AI Safety Institute1Skydio1SMRT1Solomon1Sony1south-korea-ministry-of-planning-and-budget1SpaceXAI1spartanburg1speedup in generative performance1Stanford University1status of physical AI companies1Stretch1subscribers1Subscribers to Robots & Startups.1Subscribers to SemiAnalysis.1success rate for few-shot learning1Success rate of AI-controlled trials.1success rate of the post-trained policy.1success rate of the wire insertion task1success rate with few-shot learning1success rate with one-shot physical prompting1successful grasps by the G1 humanoid on hardware.1sundayrobotics1Symbotic Inc1Synopsys1System 01System 11target action-loss1Target valid hours of data per month from the Mobile Ego-Centric App.1tasks available in RoboLab.1tasks from the Humanoid Olympics1technia1Techniahq1teleoperation for new tasks1teleoperation hours1teleoperation reduction1Tencent Holdings1TER1Teradyne Inc1the 2026 World Humanoid Robot Games1the future of humanoids in robotics.1the number of competition categories in the 2026 World Humanoid Robot Games1The number of engagements (e.g. likes, shares) on the post.1the number of humanoid robots within the next decade1the number of processes that PrismaX helps to structure.1the number of tasks performed by operators.1the number of teams in the 2026 World Humanoid Robot Games1the process flow of how PrismaX operates.1the project stand not just as a piece of marketing, but as a vision statement: a world built by the very technology that made it possible.1the release of the September issue of the magazine.1TheSanctuaryAI1time taken for the robot to autonomously run the task1Timeline for the plant potting task.1Top vendor positions in global humanoid shipments.1Total capital raised by Norbert Health.1total memory demand with 1 million humanoid robots1total memory demand with 10 million humanoid robots1Total number of trajectories collected.1Total number of videos collected by Index.1total payments made1Total points per reward cycle.1Total points reserved for Binance Keyless Wallet users.1total production of humanoid robots1Total robotic systems procurement1Total trajectories in the engine.1total views of the post.1Toyota1Toyota Canada1Toyota Research Institute1training duration1training hours for LDA-1B model1training needed for current VLA models to match S1's accuracy1training video hours1transaction valuation1TranscEngram1TRON 21TRON K.K.1u.s.-government1UC Berkeley1Ugo1UMAC1UMI1UMI and teleoperation in robotics1Unitree上市估值1units1us-government1UT Austin1VAC1validated run uses 64 nodes of 4× GB200 for 60K iterations, roughly 68 hours (17.4K GB200-hours).1valuation1Valuation of robotics startup Generalist.1Veeda1venture funding into physical AI1vercel1video generation1videos uploaded1Views on the post1VR demo at Greg's house.1wafer1Wafer's funding announcement.1weekly active users for data collection1Wing1Wing_VC1Wonik Robotics1xAI1Xiaomi Technology1Xiaomi Technology robots deployment1XPeng Motors1XPENG Robotics funding1XPENG's robotics funding1Xpeng’s robotics unit raised1XSquareRobot1Xynova1yangji-olive-young1ycombinator1Zebra1Zeroth Robotics1ZiNovaLabs1Zite1三菱電機1出資1北京人形机器人创新中心有限公司1国家发展改革委1宇树科技1开发者大会参与人数1燈がアスターに出資する計画1特斯拉1
Thinking Machines Lab$1billion“Thinking Machines Lab is in talks to raise $1 billion at a $40 billion pre-money valuation, according to The Information.”@stretchcloud on X
Thinking Machines Lab$1billion“Thinking Machines Lab is in talks to raise $1 billion at a $40 billion pre-money valuation, according to The Information.”@stretchcloud on X
H3 Max Turbo$0.01“a $0.01/s video generation endpoint makes AI video economically viable for things like product demo generation, marketing content pipelines, and real-time synthetic data.”@stretchcloud on X
Zeroth Bridge12 units“At 88 cm tall and 12 kg, it can walk, jump, dance and even do backflips.”@HumanoidsHQ on X
Zeroth Bridge$1,322“The Geek Edition costs $1,322 and is designed for developers, research, education and robotics competitions.”@HumanoidsHQ on X
Meta and Muse Spark 1.3 performance upgrade$0“Mark Zuckerberg calling it "frontier performance almost too cheap to meter."”@TheRundownAI on X
VR demo at Greg's house.1 units“I just had the demo. F***ing amazing!”@Scobleizer on X
3D reconstruction25.3 units“Atlas claims mean AbsRel error of 25.3, better than specialist tools built for that task.”@stretchcloud on X
ROSCon Global 202615 units“ROSCon Global 2026 is the fifteenth annual flagship developer conference for the Robot Operating System (ROS) community.”NVIDIA at ROSCon 2026 | Toronto, Canada
manipulation tasks120 units“across 120 language-conditioned manipulation tasks”@NVIDIARobotics on X
Hydra-0 training2202 hrs“It was trained on about 2,202 hours of multi-embodiment video spanning human hands, handheld grippers, single-arm robots and bimanual systems.”@techniahqrobot on X
valuation of Unitree$1,200“companies like Unitree reach valuations exceeding 1,200x earnings”@10xthinker on X
Optimus Gen 2 cost estimation$45,500“Morgan Stanley estimates building an Optimus Gen 2 costs $45,500 using China's supply chain, versus $131,800 without it.”@smsehy on X
Optimus Gen 2 cost estimation$45,500“Morgan Stanley estimates building an Optimus Gen 2 costs $45,500 using China's supply chain, versus $131,800 without it.”@smsehy on X
Delta in cost due to supply chain differences$86,300“That $86,300 delta is not simply raw neodymium pricing.”@smsehy on X
XPENG Robotics funding$900million“XPENG’s robotics business raised more than $900 million at a post money valuation above $6.3 billion, representing the largest single private financing recorded in China’s embodied AI sector to date.”Humanoid Digest: August 2026 | XMAQUINA DAO
Alloy Robotics funding$11.5million“Sydney based Alloy Robotics raised A$11.5 million in a seed round led by Square Peg, with Blackbird, Airtree and Skip Capital among the returning investors.”Humanoid Digest: August 2026 | XMAQUINA DAO
Figure Index uploads16,000,000 units“Figure says Index has accumulated more than 16 million video uploads across 108 countries, with 264,000 app downloads and more than 44,000 weekly active users.”Humanoid Digest: August 2026 | XMAQUINA DAO
Compute requirements for humanoids.0 units“Sizing on-chip memory buffers to prevent bus saturation during continuous high-rate tactile policy execution directly dictates compute bill of materials.”@smsehy on X
the number of humanoid robots within the next decade1,000,000,000 units“Musk also believes robots could eventually help manufacture more robots, creating a self reinforcing production cycle that accelerates after starting slowly.”@MilkRoadAI on X
data collection200 hrs“.@eastworlds_io is producing 200 hours of humanoid teleop data every week, making it the largest @UnitreeRobotics G1 data source outside China.”@0xconglomerate on X
Embodied AI model36,000,000,000 units“A 36B parameter model just blurred one of robotics’ biggest boundaries, the gap between seeing a scene and acting on it.”@techniahqrobot on X
Ports connecting NPUs within the rack.7 units“Seven ports are used to connect other NPUs on the same tray over flyover cables.”@SemiAnalysis_ on X
Ports connecting to the network of switches.4 units“This leaves the remaining 4 ports to connect to a network of low-radix-switches in the backplane for further intra-rack connectivity.”@SemiAnalysis_ on X
Nemotron 3.5 Lightning on Jetson AGX Thor44.8 hrs“On Jetson AGX Thor, the three training steps completed in 44.8 seconds and saved a 438 MB adapter.”Optimize Models with Unsloth | Jetson AI Lab
FieldAI-powered robot1 units“A FieldAI-powered robot, pictured with Singapore's Minister for Transport Jeffrey Siow at @SMRT_Singapore's Gali Batu Bus Depot.”@fieldai_ on X
Agibot's performance in the World Humanoid Robot Games.46 units“Agibot finished #1 in both golds and total medals, with 18 gold, 16 silver and 12 bronze, 46 medals altogether.”@ruima on X
Gold medals won by Agibot.18 units“Agibot finished #1 in both golds and total medals, with 18 gold, 16 silver and 12 bronze, 46 medals altogether.”@ruima on X
Silver medals won by Agibot.16 units“Agibot finished #1 in both golds and total medals, with 18 gold, 16 silver and 12 bronze, 46 medals altogether.”@ruima on X
Bronze medals won by Agibot.12 units“Agibot finished #1 in both golds and total medals, with 18 gold, 16 silver and 12 bronze, 46 medals altogether.”@ruima on X
humanoid robots shipped in 20255,500 units“unitree shipped 5,500 humanoid robots in 2025 – more than tesla, figure ai and agility robotics combined.”@thehypedotnews on X
total production of humanoid robots6,500 units“total production exceeded 6,500 units.”@thehypedotnews on X
global market forecast for humanoid robots by 2027100,000 units“counterpoint forecasts the global market hitting 100,000 units by 2027 – 6x the 2025 numbers.”@thehypedotnews on X
Cost of the GR-1 humanoid$125,000“Shanghai-based Fourier Intelligence deployed their $125,000 GR-1 humanoid onto public transit to assist an elderly citizen.”@rich_odinn on X
@ycombinator fall cohort companies5 units“5 @ycombinator fall cohort companies across Compute, Energy, Hardware and DevTools.”@frontrunvc on X
Microduck's cost associated with RAM$15“even with only 1 GB of RAM, the memory alone is already 10–15% of Microduck's total price.”@Thom_Wolf on X
total memory demand with 1 million humanoid robots$600million“that could represent approximately $600 million–$800 million in memory content, while 10 million robots could create a $6 billion–$8 billion opportunity.”@MelvinInvests on X
total memory demand with 10 million humanoid robots$6billion“while 10 million robots could create a $6 billion–$8 billion opportunity.”@MelvinInvests on X
venture funding into physical AI$47.4B“Global venture funding into physical AI hit $47.4B across 521 deals in H1 2026 — nearly 4x the prior half.”@davidcao01 on X
Sequoia's fundraising$10B“Sequoia raised $10B four months after a $7B raise, explicitly reframing its thesis from "algorithms to atoms"”@davidcao01 on X
SoftBank's investment in Skild AI$1.4B“SoftBank led a $1.4B Series C into robotics firm Skild AI, tripling its valuation to $14B in seven months”@davidcao01 on X
teleoperation hours100000 hrs“Skild says the equivalent training data took to collect.”@Robot_AIsignals on X
average per-step success66 units“Skild reports 66% average per-step success on unseen tasks against 9% for a language-prompted baseline, once pre-training reaches 100,000 hours (company claim, internal evaluation).”@Robot_AIsignals on X
Index uploads16,000,000 units“Index has taken 16 million uploads from 108 countries,”@Robot_AIsignals on X
weekly active contributors44,000 units“carries 44,000+ weekly active contributors”@Robot_AIsignals on X
payments made through Index$15M“has paid out $15M — with over $1B committed to data and compute across the next twelve months (company claims).”@Robot_AIsignals on X
rallies100 units“Galbot robots completed 100+ consecutive rallies at the World Humanoid Robot Games 2026 while tracking the ball, moving around the court and responding in real time.”@ctorobotics on X
insertion trials conducted over 40 minutes313 units“The trial used robotic hands rather than a complete humanoid to insert flexible wired plugs into moving targets on a live conveyor at a global Tier 1 automotive supplier.”Sanctuary AI puts humanoid tech on industrial robots
success rate of the wire insertion task$99.5“Sanctuary AI has deployed technology developed alongside its Phoenix humanoid on an industrial wire insertion task, reporting a success rate above 99.5%”Sanctuary AI puts humanoid tech on industrial robots
Humanoid robots500,000 units“industry-wide estimates pointing toward roughly 500,000 units/year by 2027 across Optimus, Figure, 1X, Unitree, and others.”@davidcao01 on X
Drones owned by the Pentagon200,000 units“The Pentagon's Drone Dominance Program has committed $1 billion to purchasing more than 200,000 drones by 2027, scaling to 340,000 by 2028.”@davidcao01 on X
XPENG's robotics funding$900million“Its robotics business just raised more than $900 million, reaching a post-money valuation above $6.3 billion.”@techniahqrobot on X
Personal investment by XPENG founder and co-president$100million“XPENG founder He Xiaopeng and co-president Brian Gu also invested roughly $100 million personally.”@techniahqrobot on X
Number of global contributors and collected trajectories on the platform.150,000 units“As of late August 2026, the platform has surpassed 150,000 global contributors and collected over 3.7 million trajectories across 4,000+ published tasks.”Cicada Market Making on X: "https://t.co/26k9SK56mf" / X
Total number of trajectories collected.2,100,000 units“2.1 million trajectories”@em3kagmi on X
Number of tasks published.1,600 units“1,600+ published tasks.”@em3kagmi on X
Total trajectories in the engine.3,000,000 units“the engine on Base had reached 3 million trajectories from 123,000+ contributors.”@em3kagmi on X
Number of contributors for the engine on Base.123,000 units“from 123,000+ contributors.”@em3kagmi on X
Cerebras WSEs needed for running a large model.$20M“that’s over $20M of CAPEX and 1MW of power consumption before you can get a forward pass on a frontier model.”Cerebras's Next Generation CS-4: Fast Just Got Faster
System 11 hrs“System 1 turns that into full-body joint targets at 200 Hz.”@techniahqrobot on X
System 01 hrs“System 0 runs at 1,000 Hz constantly adjusting balance, contact and coordination.”@techniahqrobot on X
transaction valuation$2.5B“Agility’s $2.5B transaction valuation is beginning to look increasingly conservative.”@jinseongeo83473 on X
contracted orders$300M“$300M+ in multi-year contracted Digit v5 orders”@jinseongeo83473 on X
external funding round$900M“XPeng Robotics recently raised more than $900M in its first external funding round”@jinseongeo83473 on X
status of physical AI companies0 units“Most Physical AI companies are still doing lab demos.”@Rewkang on X
Funding$120M“DYNA Raises $120M for Physical AGI”Careers — DYNA
production requirements for napkins1,500 units“To keep one Din Tai Fung dining room supplied, a robot has to produce 1,500 table-ready napkins in a day’s shift.”@DynaRobotics on X
previous performance of Dyna-1480 units“A year ago, ours managed 480 with Dyna-1.”@DynaRobotics on X
performance of Dyna-21,500 units“Today with Dyna-2, we clear well over 1,500 napkins, 2.7x faster and at higher quality.”@DynaRobotics on X
Dyna-11 units“Twelve months ago, Dyna-1 was the most reliable robot foundation model DEMO published at the time.”@DynaRobotics on X
Dyna-21 units“Today the comparison with Dyna-2 is stark.”@DynaRobotics on X
Xiaomi Technology robots deployment1 units“Xiaomi Technology is deploying wheeled and humanoid robots inside its automotive manufacturing facility.”@ctorobotics on X
the 2026 World Humanoid Robot Games2,000 units“The broader 2026 Games reflect the same shift. With more than 2,000 robots, 666 teams, and 51 competition categories, the event now goes well beyond sports, including industrial tasks, precision manipulation, and real-world service scenarios.”@NewsHumanoid on X
the number of teams in the 2026 World Humanoid Robot Games666 units“With more than 2,000 robots, 666 teams, and 51 competition categories, the event now goes well beyond sports, including industrial tasks, precision manipulation, and real-world service scenarios.”@NewsHumanoid on X
the number of competition categories in the 2026 World Humanoid Robot Games51 units“With more than 2,000 robots, 666 teams, and 51 competition categories, the event now goes well beyond sports, including industrial tasks, precision manipulation, and real-world service scenarios.”@NewsHumanoid on X
Galbot G1 swept the three most challenging scenario competitions at #WHRG: Home, Catering, and Retail.3 units“3 GOLD MEDALS.”@GalbotRobotics on X
Delivery timeline for a data center.30 hrs“Turner’s prefab arm xPL Offsite delivered a hot-aisle containment system for a 30MW rapid-deployment data center.”Dynamo Dispatch (2026/08/24) - by Santosh Sankar
weekly active users for data collection43,000 units“We're now over 43,000 weekly active users collecting data to train Helix, our AI model for F.03 robots”@adcock_brett on X
robot training0 hrs“the robot couldn't learn from video alone. failed over and over.”@antopatrex1 on X
robot deployment0 units“you need to deploy robots for robots to get better.”@antopatrex1 on X
Gemini Robotics ER2 units“I believe Gemini Robotics ER 2 is a clear example here.”@zhodonx on X
Simulated robot bodies100,000 units“They trained locomotion across 100,000 simulated robot bodies, which forces the policy to deal with different morphologies instead of just memorizing how one specific robot moves.”@0xconglomerate on X
robot data collection50 hrs“Practically takes much longer than 50-100hrs to collect 50hrs of robot data assuming people take break or make mistake too.”@deepakpathak on X
robot trajectories1 units“Every task you complete on Axis Hub is a robot trajectory — real training data for real robot policies.”@axisrobotics on X
commitment to data and compute for the next 12 months$1B“$1B committed to data and compute”@TheHumanoidHub on X
data efficiency comparison380 units“Skild S1 is 380 times more data efficient than standard VLA models!”@gupta_abhinav_ on X
robot learning economics$1“you pay the enormous data bill once during foundation-model training, then amortize it across thousands of new tasks through prompting.”@rohanpaul_ai on X
S1's performance on manipulation tasks$380“one video demonstration provided roughly the benefit of 380 post-training examples!”@DeryaTR_ on X
S1 robot foundation model1 units“Skild has released S1, a robot foundation model where you specify the task with a video demonstration instead of a language instruction.”@TheHumanoidHub on X
performance of S1 compared to VLAs0 units“For known tasks, S1 can match the performance of language-prompted VLAs.”@SkildAI on X
performance of S1 on novel tasks0 units“For novel tasks, S1 exponentially outperforms any existing language-prompted VLAs as we scale the pre-training.”@SkildAI on X
teleoperation for new tasks100 hrs“A new task used to mean a hundred hours of teleoperation and a training run.”@humanoidsdaily on X
time taken for the robot to autonomously run the task11 units“Skild set up a plant potting task at 8:54pm and had the robot running it autonomously 11 minutes later.”@humanoidsdaily on X
sim-to-real gap1 units“A robot can learn to perform a task almost perfectly in simulation, then fail when it encounters the real world.”@continuumlabs_ on X
subscribers10,000 units“Andra Keay does a lot of work describing how the development of robotics will shape our future. Her weekly posts are detailed and meticulously written.”ACTUATE takeaways and inside the FCC bans - by Andra Keay
Unitree G1 humanoid robot1 units“The Unitree G1 humanoid robot can drive a go-kart, controlling the steering wheel and pedals around an indoor track.”@spaceandtech_ on X
industrial robots installed in China276,000 units“China installed roughly 276,000 industrial robots last year.”@GordonJohnson19 on X
industrial robots installed in the US38,000 units“The US installed about 38,000.”@GordonJohnson19 on X
operational stock of industrial robots in China2,000,000 units“China's operational stock is roughly 2 million units against our 394,000.”@GordonJohnson19 on X
operational stock of industrial robots in the US394,000 units“China's operational stock is roughly 2 million units against our 394,000.”@GordonJohnson19 on X
market share of Chinese firms in humanoids.100 units“Chinese firms shipped something like 80% of the world's humanoids and hold ~85% of the market.”@GordonJohnson19 on X
@RoboPapers 209187717329235601230000 hrs“30,000 hours”@RoboPapers on X
articulated assets27 units“TaskGen now includes a library of 27 articulated object families (4 variants each).”@axisrobotics on X
robot programming1 units“If showing it once is enough, that changes both how fast a robot becomes useful and who can work with one.”@TheHumanoidHub on X
Reflect V1.0 from Flexion Robotics.0 hrs“A robotics intelligence platform designed to help robots complete complex tasks autonomously without a human operator.”@spaceandtech_ on X
Predicted deployment of humanoid robots in homes.2,000,000,000 units“62% of that eventual 3 billion — roughly 2 billion units — end up inside homes, not factories.”Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
Projected cost drop for humanoid robots.$17,000“falling to around $17,000 by 2030 — converging with Unitree's G1, already priced near $16,000.”Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
Deployment of robots in BMW's manufacturing line.30,000 units“Figure's robots spent 11 months on BMW's Spartanburg line, contributing to 30,000+ vehicles.”Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
BMW Group production30,000 units“the Figure 02 robot supported the production of more than 30,000 BMW X3 vehicles over ten months.”Press-Information June 25th 2026
BMW Group's production capabilities with humanoid robots.30,000 units“Figure 02 supported the production of more than 30,000 BMW X3 vehicles.”BMW Group deploys Figure 03
deployments of Spot1,500 units“With over 1,500 deployments, Spot is already teaching hundreds of companies how to work alongside autonomous mobile robots.”An Electric New Era for Atlas | Boston Dynamics
Training Data20000 hrs“N1.7 is pretrained on 20K hours of EgoScale human video data alongside diverse robot demonstrations.”NVIDIA/Isaac-GR00T
the project stand not just as a piece of marketing, but as a vision statement: a world built by the very technology that made it possible.1 units“The production fused artistry, engineering, and emotion into a single workflow, revealing what’s possible when imagination becomes interactive.”Bringing Marble to Life | World Labs
performance improvement of the proposed policy over prior arts.32 units“it is trained across diverse data corpus with a scalable performance of 32% gain compared to prior arts.”AgiBot World Colosseo: A Large-scale Manipulation Platform
video generation1 units“Atlas generates images and videos from one or more images with pixel-perfect camera control, outputting up to 1 minute of video at 1440p.”World Labs Atlas
Tactile dexterous hands provide high compliance, but deploying them into industrial assembly requires rigorous cycle testing to ensure flexible skin sensors and internal tendon cables survive harsh abrasive factory environments. https://t.co/WbWWApSM8A
11:15 PM ET
@smsehy
11:15 PM ET@smsehy
@smsehy on X
The physical AI bottleneck is not token volume, but rich force-torque telemetry and tactile slip dynamics. Learning physical interaction requires real-world data pipelines that log contact physics at kilohertz sample rates. https://t.co/YoW0X7SyiX
11:15 PM ET
@smsehy
11:15 PM ET@smsehy
@smsehy on X
Augmenting sparse real-world physical demos with procedural simulation bridges early skill acquisition, but factory validation still demands testing across uncalibrated part tolerances and surface contamination. https://t.co/zD5ef4hsyk
11:14 PM ET
@smsehy
11:14 PM ET@smsehy
@smsehy on X
Training reinforcement learning on cached latent embeddings solves policy training throughput. The critical step for automotive manufacturing remains hard reliability optimization to eliminate rare edge-case failures during high-speed assembly. https://t.co/JZJfqC0HNe
11:12 PM ET
@smsehy
11:12 PM ET@smsehy
@smsehy on X
Crowdsourcing simulation trajectories solves high-level spatial exploration, but closing the sim-to-real gap on the plant floor requires high-rate force-torque sensor telemetry and ground-truth material compliance data. https://t.co/JPGACFLgOj
11:12 PM ET
@smsehy
11:12 PM ET@smsehy
@smsehy on X
Prototyping robotic kinematics is accessible for small engineering teams, but foundation models and custom edge silicon create massive capital consolidation. A few platforms will own the physical AI operating stack while hardware makers assemble standard mechanical frames. https://t.co/BGdI5joTD9
11:11 PM ET
@smsehy
11:11 PM ET@smsehy
@smsehy on X
Securing massive GPU clusters proves that physical AI is adopting frontier model training economics. The ultimate pacing item remains converting those model outputs into deterministic, safety-certified motor commands that operate reliably in active industrial cells. https://t.co/2eqrO2XgcF
11:11 PM ET
@smsehy
11:11 PM ET@smsehy
@smsehy on X
Crowdsourcing simulated trajectories accelerates high-level spatial priors. The engineering hurdle remains capturing high-frequency joint torque and tactile force vectors that cannot be generated without physical hardware interactions. https://t.co/PE1D6RrpiI
11:11 PM ET
@smsehy
11:11 PM ET@smsehy
@smsehy on X
Simulating visual environments generates kinematic diversity quickly. The persistent physical wall remains non-rigid contact mechanics and micro-slip telemetry, where synthetic physics engines diverge from actual plant floor tooling. https://t.co/XodF4KsgqV
11:10 PM ET
@smsehy
11:10 PM ET@smsehy
@smsehy on X
Neural policies plan trajectories, but classical feedback control is what prevents high-inertia industrial arms from oscillating when handling dynamic loads. Eliminating classical PID loops on factory equipment introduces kinetic hazards that no safety certifier will approve. https://t.co/vrEJAS0A5Z
11:10 PM ET
@smsehy
11:10 PM ET@smsehy
@smsehy on X
255 million vehicles and global manufacturing plants already generate the physical sensor telemetry that foundation models need to learn real-world physics. Digital AI scales in datacenters, but physical AI requires industrial plants that understand ten-year hardware duty cycles. https://t.co/agvaM0yiMT
11:10 PM ET
@smsehy
11:10 PM ET@smsehy
@smsehy on X
The hand and forearm expose the real physical limits of miniature motor winding, high-ratio planetary gearing, and thermal dissipation inside a 25mm joint envelope. Volume manufacturing only works when those electromechanical modules survive millions of continuous cycles without manual shimming.
11:09 PM ET
@Biti8888
11:09 PM ET@Biti8888
@Biti8888 on X
The robot data gold rush is already happening in China. More than 90 robot gyms are launching, with 100+ robots in each center. Because the biggest bottleneck in humanoid robotics may no longer be building the robot. It’s teaching it how to work in the real world. Robots need enormous amounts of data, and an entire industry is now emerging to collect it. The gold rush isn’t just for robots. It’s for the data that will make them useful.
11:04 PM ET
Agility
11:04 PM ETAgility
@CapitalSqueez on X
$CCXI Jeff Bezos just followed Chris Paxton. Paxton is one of the sharpest minds in embodied AI — currently at Agility Robotics (Digit), previously Meta and NVIDIA. He lives and breathes the hard problems: sim-to-real, faster-than-demo execution, generalist robot policies, force-aware manipulation. This isn’t a random follow. Amazon already invested in Agility and ran Digit pilots in its warehouses. @agilityrobotics @HumanoidInvest @slinkyhammer @SCSQ2022 @valueInIdeas @chris_j_paxton
10:47 PM ET
@stretchcloud
10:47 PM ET@stretchcloud
@stretchcloud on X
The 30-50x cost difference between computer use and MCP keeps rattling around in my head. The framing that clicks for me: computer use is paying for a human-in-the-loop at model prices. Every screen interaction generates a screenshot, feeds it through vision, waits for coordinate output, executes the click, takes another screenshot. You are spending tokens on what amounts to OCR and cursor navigation, round after round. MCP replaces that entire loop with a typed function call. No screenshots. No vision pass. No coordinate uncertainty. The model calls a tool, the tool returns structured data,…
10:27 PM ET
@stretchcloud
10:27 PM ET@stretchcloud
@stretchcloud on X
The thing I keep noticing across agentic frameworks in 2026: resumability is now the reliability primitive everyone is building toward. Genkit Go 1.13 ships it properly. A Generate call that fails at tool round five returns what it finished alongside the error. You pass resp.History() back in, only the failed step reruns. No wasted tool calls. No redone work. The same logic extends to full agent sessions. A failed or cancelled turn saves completed rounds as a snapshot. Send an empty input, it picks up from there. This matters for production. Most AI agent failures today are partial. The agent…
10:19 PM ET
AGAgibot
10:19 PM ETAGAgibot
@techniahqrobot on X
A big win for the robotics community AGIBOT just open sourced one of its most valuable real world datasets yet. @AGIBOTofficial has open-sourced AGIBOT WORLD 2026 Theme 3, a real-world dataset designed for reinforcement learning and embodied AI. The release contains 11,430 real-world robot trajectories across 14 industrial and household tasks. That includes • 1,024 successful policy rollouts • 1,369 failed policy rollouts • human in the loop corrections • external disturbances • task progress annotations • error-state annotations • human intervention data Most robot learning datasets focus…
10:14 PM ET
OPOpenAI
10:14 PM ETOPOpenAI
@DrJimFan on X
Good old days at OpenAI in 2016: an agent stares at screen pixels, moves a mouse, and books a flight on United. We called it World of Bits, inside OpenAI Universe. 10 yrs later, Astra is reincarnated in the same universe. Even the naming is astronomically correct 😆 Universe was perhaps the most ambitious AI infra project at the time, but we couldn't quite figure out how to solve it. A policy with zero prior knowledge of what a "submit" button does has to rediscover the entire internet visual lingua by trial and error. In retrospect, RL from scratch against hand-drawn, per-task "artisan"…
10:00 PM ET
@Scobleizer
10:00 PM ET@Scobleizer
@Scobleizer on X
Ray Kurzweil is snorting nano particles. OK, not quite yet. Just joined a brain computer startup that will make them. https://t.co/xS02EHFgWm
8:08 PM ET
STStretch
8:08 PM ETSTStretch
@stretchcloud on X
The harness problem is getting its own framework category. Tardigrade ships today: an agent harness built as typed state machine components over an immutable event log. The framing is React for harness. Each component knows its previous states. The whole harness is a pure function of the log. I keep seeing teams reach this conclusion from two directions. One: they try to build a stateful agent loop and hit the problem of debugging mid-run failures, resuming interrupted sessions, and auditing what the agent actually did and when. Two: they want to add AI behavior to existing Effect/functional…
7:37 PM ET
TETechniahq
7:37 PM ETTETechniahq
@techniahqrobot on X
This might be the most human humanoid robot clip you’ll see today. Credit @大懒虫机器人 https://t.co/03VyvzVVKR https://t.co/1EImQw1BkJ
7:15 PM ET
Apptronik
7:15 PM ETApptronik
@Apptronik on X
Congratulations to our CEO and co-founder, Jeff Cardenas, for being named one of Austin Business Journal’s 2026 Power Players! 👏🦾 We believe Austin is the perfect place to build the future of humanoid robotics. Jeff’s vision has helped put the city at the center of the physical AI revolution. We’re proud to see him recognized alongside leaders shaping the future of Texas innovation and their industries. Check out the full 2026 @MyABJ Power Player list here: https://t.co/QOsuG4Csq2 #humanoids #apptronik #robotics #austin
7:15 PM ET
Apptronik
7:15 PM ETApptronik
@Apptronik on X
Congratulations to our CEO and co-founder, Jeff Cardenas, for being named one of Austin Business Journal’s 2026 Power Players! 👏🦾 We believe Austin is the perfect place to build the future of humanoid robotics. Jeff’s vision has helped put the city at the center of the physical AI revolution. We’re proud to see him recognized alongside leaders shaping the future of Texas innovation and their industries. Check out the full 2026 @MyABJ Power Player list here: https://t.co/QOsuG4Csq2 #humanoids #apptronik #robots #austin
7:14 PM ET
Apptronik
7:14 PM ETApptronik
@Apptronik on X
Congratulations to our CEO and co-founder, Jeff Cardenas, for being named one of Austin Business Journal’s 2026 Power Players! 👏🦾 We believe Austin is the perfect place to build the future of humanoid robotics. Jeff’s vision has helped put the city at the center of the physical AI revolution. We’re proud to see him recognized alongside leaders shaping the future of Texas innovation and their industries. Check out the full 2026 @MyABJ Power Player list here: https://t.co/QOsuG4Csq2
6:02 PM ET
SASanctuary AI
6:02 PM ETSASanctuary AI
@TheSanctuaryAI on X
Curious how robots manipulate objects they can’t fully see? Sanctuary AI Co-Founder & Chief Engineering & Operations Officer Olivia Norton explains why touch and force feedback are critical for dexterous manipulation, especially when objects are occluded or outside a robot’s field of view. Learn more about our commercial Physical AI solutions at https://t.co/nHFy5w5pQW Recorded at the Humanoid Robot Forum during Automate 2026. #PhysicalAI #Robotics #Dexterity #Automation #AI #SanctuaryAI
5:42 PM ET
OPOpenAI
5:42 PM ETOPOpenAI
@rimtoln on X
GPT-6 ASTRA ISN'T A PATCH. IT'S A GENERATION FLIP. openai just shipped the model they call a generational leap past gpt-5.6 sol not better chat better computer use · coding · cyber · science ▹ why this is the breakthrough first openai model at Critical cyber threshold agent stacks that actually drive the machine browser · forms · repos · multi-step work enterprise-first rollout · daybreak defenders first ▹ the scoreboard (vendor table) frontiermath t4 · astra 97.6 · fable 5.1 87.8 sol was 83.0 · that's a real cliff terminal-bench science · 64.6 vs fable 52.6 automationbench · 41.4 vs 31.4…
5:34 PM ET
@deepakpathak
5:34 PM ET@deepakpathak
@deepakpathak on X
You don't have to post-train ChatGPT on every user. If you did, it would never have taken off. Yet this is exactly how robotics works today For robots to take off, they need to learn in-context. Great article from @Chris_J_Paxton on this new paradigm and S1's place in it: https://t.co/Kt4DTK3n2A https://t.co/as45gL0y8C
5:28 PM ET
Nvidia
$NVDA
5:28 PM ETNvidia
@NVIDIARobotics on X
Excited to see @fieldai_ and Caterpillar advance physical AI across heavy industry. A step forward for bringing autonomous robots into real-world environments. 👏 https://t.co/96533YilzZ
5:27 PM ET
TMThinking Machines Lab
5:27 PM ETTMThinking Machines Lab
@stretchcloud on X
The AI lab valuation compression is happening.Thinking Machines Lab is in talks to raise $1 billion at a $40 billion pre-money valuation, according to The Information. That's down from $50 billion they explored late last year. Mira Murati founded the lab after leaving OpenAI. They've released one model: Inkling, in July 2026.The compression signal matters. Twelve months ago, a fresh frontier lab started by someone who ran OpenAI could reasonably command $50B+ on pre-product. The market is repricing. What changed: GPT-6 Astra launched today and saturated most existing benchmarks. xAI sits at…
4:27 PM ET
OPOpenAI
4:27 PM ETOPOpenAI
@techniahqrobot on X
GPT-6 Astra is here, and it might be one of the most important AI releases yet. OpenAI says the model hits 98% on FrontierMath Tier 4, 99.9% on ARC-AGI 3 and a perfect 100% on ExploitBench. It also shows big improvements in computer use, science, coding, cybersecurity and professional work. What’s really interesting for humanoid robotics is what happens when this kind of stronger reasoning gets closer to the physical world. A humanoid needs way more than just good locomotion. It has to understand instructions, make sense of cameras and sensors, plan long sequences of actions, recover when…
3:53 PM ET
XHX-Humanoid
3:53 PM ETXHX-Humanoid
@techniahqrobot on X
Meet Tiangong 3.0, the full-size humanoid from Beijing’s X-Humanoid. It stands 1.69 m tall, weighs 62 kg and has 43 degrees of freedom. Its high torque joints are built for explosive whole-body motion, and Beijing sources specifically list side flips among the movements Tiangong 3.0 can perform. Watch the landing closely. It launches, rotates its entire body in the air, catches the ground with both feet and immediately recovers its balance. That requires serious coordination across the hips, knees, ankles and torso. X-Humanoid says Tiangong 3.0 was designed for high-dynamic whole-body…
3:30 PM ET
@SemiAnalysis_
3:30 PM ET@SemiAnalysis_
@SemiAnalysis_ on X
Shoutout to the cracked team at @vllm_project that implemented recent agentic workload optimizations. (1/5)🧵 https://t.co/BsXCtLBwvU
3:24 PM ET
Nvidia
$NVDA
3:24 PM ETNvidia
@NVIDIARobotics on X
Can AI and safety work hand in hand in industrial environments? Our VP of Industry Safety, Riccardo Mariani, joins Robert Weber and Peter Seeberg on the Industrial AI Podcast to discuss safety frameworks for physical AI, simulation and the future of industrial AI. Listen 🎧 https://t.co/SnOAYIcyfa
3:03 PM ET
ASAstribot
3:03 PM ETASAstribot
@XRoboHub on X
Robots can’t stop while the model thinks. In a high-speed throw, even one pause can kill the momentum. Astribot released SmoothRL for online RL during async inference. S1 keeps moving as the model computes the next action chunk. Most actions in a chunk never execute. Train on the full chunk, and RL credits or blames moves that never happened. SmoothRL learns only from executed actions, matching real deployment timing. After 250 rollouts, tossing jumped 39%→94%, pen capping 8%→83%, and box opening 30%→90%. One autonomous toss cut acceleration RMS by 52% and jerk RMS by 47%. The model keeps…
2:58 PM ET
AGAgibot
2:58 PM ETAGAgibot
@spaceandtech_ on X
AGIBOT has officially open-sourced AGIBOT WORLD 2026 Theme 3: Reinforcement Learning, a real-world embodied AI dataset collected across expert demonstrations, autonomous policy rollouts, and human-in-the-loop corrections. It includes 11,430 real-world trajectories across 14 industrial and household tasks, capturing both successful and failed policy rollouts, along with detailed annotations for task progress, errors, disturbances, and human interventions. By learning from successes, failures, risks, and human corrections, robots can learn not only how to do it, but how to do it better.…
2:49 PM ET
Tesla
$TSLA
2:49 PM ETTesla
@elonmusk on X
Cybercab is basically a super comfortable lounge on wheels with a great TV and epic sound https://t.co/X1aWKoJdJV
2:45 PM ET
Tesla
$TSLA
2:45 PM ETTesla
@elonmusk on X
Cybercabs have no steering wheels or pedals. They are designed and built for maximally efficient autonomous operation. https://t.co/IClKVxpb7C
2:37 PM ET
Nvidia
$NVDA
2:37 PM ETNvidia
@NVIDIARobotics on X
🤖💚 https://t.co/AjKvGIEtjj
2:21 PM ET
@binarybits
2:21 PM ET@binarybits
@binarybits on X
This is a great illustration of why training robots manipulation tasks in simulation (middle clip) doesn't work very well. From Kai's excellent new piece on robot data. https://t.co/2ysIIvThKK https://t.co/VJDbshw5NR
2:12 PM ET
Tesla
$TSLA
2:12 PM ETTesla
@SawyerMerritt on X
Cybercab interior tour with @wholemars. https://t.co/06iKekv8bt
2:07 PM ET
MUMunari
2:07 PM ETMUMunari
@frontrunvc on X
EARLY: @munariai - 6 followers (Robotics) Munari just launched. Operator scoring for robot training data. On @frontrunvc, the story started 47 days before the X account went live. jul 16: a tracked account follows @rmn. flagged. aug 11: flagged building. aug 19: website found. no x account yet. aug 30: a16z @speedrun SR007. sep 1: @munariai goes live. sep 4: 17 tracked accounts following the founders. a whole company, before it had a handle. this is timeline. coming soon to every company card on @frontrunvc.
1:48 PM ET
@AppliedInt
1:48 PM ET@AppliedInt
@AppliedInt on X
At this year’s Agentic AI Summit hosted by @BerkeleyRDI, our Chief Scientist, @Wei_ZHAN_ shared some of the cutting edge research he has been leading in the physical AI space. As the industry races to deploy L2++ ADAS with imitation-learning-based E2E, Wei tackled a key question: what if end-to-end autonomy could be trained without imitation at all, relying only on reinforcement learning? An idea that runs against the current status quo. Here are some of his insights 🧵
1:43 PM ET
@rimtoln
1:43 PM ET@rimtoln
@rimtoln on X
EVERYONE SHOWS THE 300-AGENT SWARM. almost nobody shows what happens after 300 agents are easy to spawn turning 300 outputs into one structure is the hard part ▹ the pipeline nobody demos collect → connect → organize → unify one context graph at the end the swarm starts as hundreds of isolated research paths then sources start sharing entities links form · contradictions surface weak claims stay exposed eventually the mess collapses into one structure the whole system can reason over ▹ the reframe that's the part you usually never see the swarm is the demo the graph is the product bookmark…
1:38 PM ET
NRNeura Robotics
1:38 PM ETNRNeura Robotics
@HumanoidsHQ on X
Neura Robotics just took its headless 4NE1 humanoid for a walk through the streets of Zurich. Standing 1.8m tall and weighing 80kg, it can reach speeds of 5 km/h and handle payloads of up to 100 kg. Humanoid robots are getting closer to everyday life. https://t.co/j4ItwJYEV4
1:36 PM ET
CLContinuum Labs
1:36 PM ETCLContinuum Labs
@continuumlabs_ on X
Does every action a robot takes need to be recorded? As robots move into homes, workplaces, and public spaces, having a reliable record of their actions will become increasingly important. When something goes wrong, we may need to know: ✅ Who or what initiated the action ✅ What the robot did ✅ When and where it happened ✅ What permissions it had ✅ Which model or system was running ✅ What the outcome was But recording everything comes with a cost. Cameras, microphones, location data, and behavioral histories can expose sensitive information about the people around these systems. The challenge…
1:32 PM ET
ZIZite
1:32 PM ETZIZite
@stretchcloud on X
The gap between "AI can help you build this" and "AI can actually deploy this for you" just got smaller. Zite released an MCP server that lets Claude, ChatGPT, and Cursor generate fully deployable business applications, not just code files you still have to wire up yourself. The model describes the app, Zite handles the infrastructure and deployment. This is a different category from code generation. Code generation gives you an artifact you own and maintain. Deployment-as-a-tool gives you a running application where the lifecycle management is abstracted away. The distinction matters for the…
1:19 PM ET
ZUZhejiang University
1:19 PM ETZUZhejiang University
@techniahqrobot on X
Zhejiang University just pushed long-horizon robot manipulation forward with HINT. HINT helps Vision-Language-Action models keep track of the human’s original intent across long tasks instead of losing the goal mid-sequence. On dual-arm PiPER robots, HINT raised π0.5 full-task success Fruit sorting 10% → 60% Word spelling 13.3% → 86.7% The system was also tested with unseen objects, layouts and instructions. Persistent intent tracking could become a key layer for reliable VLA systems and long-horizon Embodied AI.
1:18 PM ET
GAGalbot
1:18 PM ETGAGalbot
@GalbotRobotics on X
See you at #IFA2026 🤖 #Galbot #IFA #HumanoidRobot #EmbodiedAI https://t.co/2y6dyZT1Uf
1:00 PM ET
DRDusty Robotics
1:00 PM ETDRDusty Robotics
@ctorobotics on X
Construction plans, printed directly onto the floor. 🤖🏗️ Meet FieldPrinter 2 from Dusty Robotics, an autonomous layout robot designed to turn digital construction models into full-scale markings directly on the jobsite slab. Instead of crews manually measuring and marking layouts, the robot can print walls, MEP penetrations, anchor points, labels, QR codes and other information from coordinated BIM or CAD models. Dusty states the system can achieve 1/16-inch (1.6 mm) layout accuracy. A simple robot solving a very real construction problem. Could robots like this become standard equipment on…
12:53 PM ET
Agility
12:53 PM ETAgility
@agilityrobotics on X
The flashy demos were never the hard part; real, repeatable work on a real floor is. That's the problem worth solving, and the one we picked. Thank you, @chi_t_williams. https://t.co/CoKsSRg4ma
12:50 PM ET
Figure
12:50 PM ETFigure
@adcock_brett on X
Humanoid robots are the ultimate deployment vector for AGI Figure will soon have unprecedented data and compute. We’re hiring so come join us https://t.co/cUP0zQCjg1
12:36 PM ET
Nvidia
$NVDA
12:36 PM ETNvidia
@tchsignal on X
Nvidia’s $12.9B Hugging Face Deal Raises a Bigger Question About Open AI Nvidia has agreed to acquire Hugging Face in a deal valued at about $12.93 billion, but the transaction has not closed yet. It is expected to complete in the first half of 2027, subject to regulatory approvals and other closing conditions. The bigger issue is what Nvidia ownership could mean for an AI platform used by more than 18 million developers, researchers and creators, with over 3 million models, 500,000 datasets and 1 million applications. Nvidia says Hugging Face will remain an open platform. Developers will not…
12:36 PM ET
@chris_j_paxton
12:36 PM ET@chris_j_paxton
@chris_j_paxton on X
Love to see cheap robots coming out more and more https://t.co/r06CxPWNws
12:36 PM ET
AGAgibot
12:36 PM ETAGAgibot
@Biti8888 on X
AGIBOT just open-sourced a new real-world dataset for embodied AI. @AGIBOTofficial AGIBOT WORLD 2026 Theme 3 focuses on something robots need just as much as successful demonstrations: failure and correction. The dataset includes 14 real-world tasks, 11,430 trajectories, detailed annotations of mistakes and interference, plus human-in-the-loop correction trajectories. Robots don’t improve by only seeing perfect executions. They need to learn what went wrong, how humans corrected it, and how to do better next time. https://t.co/41jAfUJ9HH
12:10 PM ET
FAFanuc America
12:10 PM ETFAFanuc America
@FANUCAmerica on X
FANUC America Brings #Robotics, #Automation, #PhysicalAI and #CNC Innovation to #IMTS2026🤖🌐⚙️ 📍 South Hall - Booth 338900 📆 September 14th - 19th | Chicago, IL 🔗 https://t.co/uncf1a0MEz @IMTSchicago @AMTonline https://t.co/DUZwG2Gjun
12:06 PM ET
Nvidia
$NVDA
12:06 PM ETNvidia
@TheHumanoidHub on X
Nvidia is now a humanoid robot designer. That's the real takeaway from this news. Nvidia is acquiring Hugging Face for $12.93B. Hugging Face is the largest open-model and dataset hub, the "GitHub of AI," with 3M+ models and 18M+ developers, robotics included. But here's the interesting part: Hugging Face has a serious robotics team from its acquisition of Pollen Robotics, which designs and builds open-source hardware platforms for robots, including humanoids (Reachy). Pollen team now gets the backing of the world's most valuable company. $NVDA
11:54 AM ET
Tesla
$TSLA
11:54 AM ETTesla
@Newsforce on X
The same activist network behind “No Kings” and other major protests is now mobilizing against data center construction and Flock license plate surveillance cameras, according to a Fox News Digital investigation and a new report. The report says organizations linked to the network have appeared across protests targeting Trump, Elon Musk, Tesla, Israel and ICE, with overlapping groups now turning their focus toward technology infrastructure and surveillance. It also highlights organizations funded by Neville Roy Singham, a Shanghai based tech billionaire whose nonprofit and media network has…
11:54 AM ET
@elonmusk
11:54 AM ET@elonmusk
@elonmusk on X
Humans writing code as seen by future AI https://t.co/WqmYxAvKGx
11:31 AM ET
Figure
11:31 AM ETFigure
@VaderResearch on X
Robotic intelligence is following the LLM playbook. First came scaling laws. Then in-context learning. Now, massive compute. Figure just signed a $3.5B deal with Nscale. https://t.co/t3urkZULIi
11:31 AM ET
Figure
11:31 AM ETFigure
@humanoidsdaily on X
Figure is making one of the largest infrastructure bets in physical AI to date. The company is partnering with Nscale to deploy up to 100,000 GPUs on NVIDIA's next-gen Vera Rubin platform—starting with a $3.5B compute commitment and plans to scale past $6B. Here’s why it matters 🧵👇 https://t.co/T3vkcqLwUh
10:45 AM ET
NVIDIA
$NVDA
10:45 AM ETNVIDIA
@stretchcloud on X
$12.9B is not a model acquisition. It is a distribution acquisition.NVIDIA just locked in the largest AI developer community on the planet: 18M developers, 3M models, 500K datasets, 1M apps. Jensen's team is not buying Hugging Face for what it does today. They are buying the channel through which every future model will move.Hardware companies do not buy software companies to improve their margins. They do it to eliminate the surface area where the next bottleneck forms. This is the same logic behind Intel buying McAfee and Qualcomm buying NXP. Except the AI compute market is growing faster…
9:10 AM ET
Nvidia
$NVDA
9:10 AM ETNvidia
@CKCapitalxx on X
$NVDA just officially agreed to acquire Hugging Face for $12.93 billion. Hugging Face is where open source AI lives. Over 18 million developers, 3 million models, 500,000 datasets, and 200,000 companies using it to discover, test and deploy AI. Every open weight release lands there first. The detail most people will miss is that Nvidia was already the largest contributor to the platform. Over 500 models and 250 open datasets released there. They've been building inside this ecosystem for years, and now they own it. Here's what it opens up. >Distribution. Nvidia owns the compute. Hugging Face…
8:46 AM ET
@smsehy
8:46 AM ET@smsehy
@smsehy on X
An autonomous vehicle generates 1 to 2 TB of sensor data per hour. Streaming that to the cloud for inference costs more than the compute hardware in the vehicle. The economics of edge AI in automotive were settled before the debate started.
8:33 AM ET
CLCJ Logistics
8:33 AM ETCLCJ Logistics
@humanoidsdaily on X
South Korea’s CJ Logistics has officially moved from the lab to live operations, deploying two @ROBOTIS "AI Worker" semi-humanoids onto active fulfillment lines at its Yangji Olive Young hub. Equipped with 7-DOF dual arms and a swerve-drive base, the robots are handling deformable void-fill packing alongside human workers—funneling live operational data directly into CJ’s Physical AI Robot Foundation Model (RFM). Read the full breakdown👇 https://t.co/tBWQ8A5pm3
8:28 AM ET
Nvidia
$NVDA
8:28 AM ETNvidia
@Biti8888 on X
🚨 BREAKING: @nvidia has officially confirmed the acquisition of @huggingface Jensen Huang said open models strengthen safety and cybersecurity, accelerate innovation, and let every developer, startup, and country build AI on their own terms. He thanked Hugging Face CEO @ClementDelangue for the trust - NVIDIA will be a great home for the platform and its community. 🤗 Deal size: ~$11.9B, closing expected in 2027. PS picture is not real😁
8:22 AM ET
NVIDIA
$NVDA
8:22 AM ETNVIDIA
@techniahqrobot on X
People saw the NVIDIA and Hugging Face acquisition news and immediately focused on foundation models, GPUs and the broader AI industry. But one of the biggest consequences could be in Physical AI and humanoid robotics. NVIDIA already controls a major part of the robotics stack with GR00T, Cosmos, Isaac Sim, Isaac Lab, Jetson Thor, CUDA and TensorRT. Hugging Face adds another critical layer with LeRobot, open robotics datasets, pretrained policies, VLA tooling, model distribution and Pollen Robotics with Reachy 2. Bring those pieces closer together and the robotics workflow becomes much more…
8:01 AM ET
XSXSquareRobot
8:01 AM ETXSXSquareRobot
@Biti8888 on X
The biggest bottleneck in dexterous robotics may not be the robot. It may be the data. @XSquareRobot’s TwinDEX is built around one idea: if you introduce errors during data collection, scaling the dataset won’t magically fix them later. That’s why TwinDEX matches the wearable collection device and robot hand across kinematics, contact surfaces, sensors and visual appearance. Human fingertips → wearable exoskeleton → robot fingertips. The result is high-fidelity robot-free data that can replace on-robot teleoperation for complex dexterous tasks. And with more than 5x higher collection…
7:10 AM ET
@seeedstudio
7:10 AM ET@seeedstudio
@seeedstudio on X
Physical AI Project of August | Creativity Award 🏆 Congrats to our community member, Fangtian Chonghui! No controller. No wearable device. Just bare hands controlling two reBot #opensource #robotic arms synchronously to fold a T-shirt. Fangtian will receive an AmazingHand 🤚 for this creative project. Building with reBot Arm or SO-ARM? Join the September #PhysicalAI Project of the Month and share what you’ve built! 👉 https://t.co/cUvrNMaCG9
6:42 AM ET
HRHorizon Robotics
6:42 AM ETHRHorizon Robotics
@tphuang on X
Horizon Robotics has hit 15m in chip delivery. It has a 31.94% mkt share in China's auto ADA chip mkt in the 1st 6 months of the yr. Its J6M chip recently started fielding on various models as the 128 TOPS is enough for most HNOA config. 40+ brands use Horizon chips & 8m+ drivers
5:19 AM ET
ANAnthropic
5:19 AM ETANAnthropic
@tchsignal on X
Claude Cybersecurity Tests Exposed a Two-Layer AI Safety Problem Anthropic found three incidents in which Claude models, while running cybersecurity evaluations, reached real production systems instead of remaining inside the intended simulated environment. The first failure was operational. Claude had been told there was no Internet access, but a misunderstanding between Anthropic and evaluation partner Irregular left a real network path available. Across 141,006 reviewed evaluation runs, Anthropic identified six runs tied to three incidents affecting three organizations. The second issue is…
5:17 AM ET
@smsehy
5:17 AM ET@smsehy
@smsehy on X
Writing a custom robotics runtime in Rust eliminates garbage collection latency spikes on the factory floor, but maintaining sub-millimeter trajectory repeatability across varying ambient thermal conditions remains the core challenge in production welding. https://t.co/q21icpHIJu
5:15 AM ET
SPSpaceXAI
5:15 AM ETSPSpaceXAI
@Newsforce on X
A new LatchBio report found @SpaceXAI ’s @Grok 4.6 is now the top-performing AI model in biosecurity safety testing, refusing disguised requests for dangerous biological research while still answering legitimate scientific questions. Unlike other models, Grok’s safeguards rely on its own reasoning rather than external filters, allowing it to spot tactics such as mislabeled viral sequences, anonymized files, and harmless-sounding cover stories hiding harmful intent. It also scored near the top on other biology benchmarks, suggesting its stronger safety measures don’t come at the cost of…
5:13 AM ET
Figure
5:13 AM ETFigure
@Biti8888 on X
Figure and Hark are run by him simultaneously - meaning one person is literally steering two multi-billion-dollar companies in parallel, not even counting his role at Cover. That’s three companies, three billion-dollar valuations, one person at the helm of all of them at once. What’s especially striking is Index’s progress: the platform spent four months in stealth mode and has already racked up 16 million uploaded videos from 108 countries, paying out $15M to users for their content. The logic is simple: language models trained on internet text, but robots have nowhere to pull the physical…
5:10 AM ET
@smsehy
5:10 AM ET@smsehy
@smsehy on X
Tightly coupling custom ARM CPUs with next-generation accelerators through high-bandwidth coherent interconnects eliminates memory transfer bottlenecks in complex agentic planning and physical AI simulation loops. https://t.co/Z06yKckTSQ
5:07 AM ET
@smsehy
5:07 AM ET@smsehy
@smsehy on X
Deploying general-purpose robots into demanding factory plants requires tight integration between high-level reasoning models and ruggedized, fanless edge controllers certified for industrial temperature and vibration ranges. https://t.co/BFNDhbe2Aw
5:07 AM ET
@smsehy
5:07 AM ET@smsehy
@smsehy on X
Video-to-3D simulation solves visual scene reconstruction in minutes. Bridging that into physical robotic manipulation requires grounding the synthetic physics engine in actual contact mechanics and tactile friction data. https://t.co/GVhaPrrcwQ
5:05 AM ET
@smsehy
5:05 AM ET@smsehy
@smsehy on X
Co-locating autonomy model training on shared cluster infrastructure proves that vehicle perception pipelines directly subsidize humanoid physical AI. The hardware challenge remains sourcing precision joint reducers at automotive scale. https://t.co/44ISDAYUJ4
5:05 AM ET
@smsehy
5:05 AM ET@smsehy
@smsehy on X
Heavy equipment autonomy shifts the validation barrier from structured highways to unmapped terrain, extreme dust ingress, and continuous 50G shock loads. Ruggedizing edge compute and sensor cleaning systems is where physical AI gets tested. https://t.co/SlLhPtTdT6
5:00 AM ET
@smsehy
5:00 AM ET@smsehy
@smsehy on X
Managing private AI infrastructure requires treating data ingestion and model deployment like an industrial assembly line, where continuous telemetry monitoring and automated evaluation prevent silent production drift. https://t.co/jYGgdyTGUf
5:00 AM ET
@smsehy
5:00 AM ET@smsehy
@smsehy on X
Open-source automotive software initiatives like Eclipse SDV reduce redundant engineering spend across non-differentiating middleware layers, allowing OEMs to focus engineering resources on custom physical AI applications. https://t.co/WO3JOVTKo6
5:00 AM ET
@smsehy
5:00 AM ET@smsehy
@smsehy on X
Co-packaged optics and silicon photonics solve the physical thermal wall of high-speed copper interconnects, enabling low-latency data movement across massive distributed compute clusters without unsustainable electrical line losses. https://t.co/t5ZEAYO25J
4:57 AM ET
@smsehy
4:57 AM ET@smsehy
@smsehy on X
Shifting from round wafers to large rectangular panels maximizes substrate utilization for multi-die AI packages, but controlling substrate warpage and dielectric layer uniformity during thermal curing remains the core manufacturing hurdle. https://t.co/4HBjacchOA
4:15 AM ET
@OperationsPLS
4:15 AM ET@OperationsPLS
@OperationsPLS on X
The control question gets harder as AI moves from digital to physical. In robotics, control is not just governance — it is real-time safety architecture. Graceful degradation and audit trails become ops requirements. https://t.co/s8rgTI0Ist
4:14 AM ET
@OperationsPLS
4:14 AM ET@OperationsPLS
@OperationsPLS on X
Edge AI + Physical AI is the architecture shift. Moving inference to the robot eliminates cloud latency — critical for real-time manipulation and safety. HBM5 at the edge means robots think at the point of action. https://t.co/Z8PWXWTWjM
4:13 AM ET
@OperationsPLS
4:13 AM ET@OperationsPLS
@OperationsPLS on X
Agriculture mechanization took 80 years. Robotics + AI compresses that to a decade. Workflow redesign, not just headcount math, is the ops challenge. Transition speed is the variable nobody models. https://t.co/D9zBiDcyNI
4:13 AM ET
@OperationsPLS
4:13 AM ET@OperationsPLS
@OperationsPLS on X
Reshoring + robotics is a compounding equation. Labor cost parity via automation removes the offshore arbitrage. The real unlock is data sovereignty: domestic robot fleets generate operational data that compounds into moats. https://t.co/SPAMHZXiJF
4:00 AM ET
OPOpenAI
4:00 AM ETOPOpenAI
@tchsignal on X
US Government Backs OpenAI's Fair Use Argument for AI Training The U.S. government has entered a major copyright fight over AI training, backing OpenAI's argument that using copyrighted written works to train large language models can qualify as fair use. In a 20-page Statement of Interest filed in federal court, the Justice Department argues that training serves a different purpose from the original works: models analyze text to learn statistical patterns such as vocabulary, syntax and relationships rather than simply distributing copies to the public. The government's position goes beyond…
3:47 AM ET
@stretchcloud
3:47 AM ET@stretchcloud
@stretchcloud on X
Background computer use is the feature that makes agents genuinely ambient. The agent runs while you work on something else. It clicks, types, opens apps. No babysitting. The next bottleneck is where agent clicks land: websites. Agents doing commerce, research, monitoring, or data work are spending a significant share of their compute just loading, re-reading, and re-extracting from pages they have already visited. The cost pattern I keep seeing: LLM extraction layers that call the model on every page visit. No memory of the selector. No self-healing when the site changes. The model reads the…
2:47 AM ET
Meta
2:47 AM ETMeta
@stretchcloud on X
The model that matters for agentic software is not the best at chat. It is the one that completes a 4-hour task without losing the thread. Meta released Muse Spark 1.3 yesterday. The benchmark that got my attention is not the headline one. It is DeepSWE v1.1: 75.4, ahead of Opus 5 at 74.0 and GPT-5.6 Sol at 73.0. That is the first time an open model has led that table. DeepSWE measures real code fixes on GitHub issues. Terminal-Bench 2.1 measures sustained work in a shell across long tasks. Muse Spark 1.3 ties GPT-5.6 Sol at 88.8 on Terminal-Bench, above Opus 5's 86.7. Both favor models that…
1:00 AM ET
@ctorobotics
1:00 AM ET@ctorobotics
@ctorobotics on X
Push a humanoid robot… and it pushes back? 🤖🥊 A viral video from a technology store in Russia shows a customer pushing a humanoid robot moments later, the robot appears to move toward him and swing its leg. The robot has been identified as Syoma, a humanoid service robot reportedly used at the store. However, it is still unclear whether the movement was an intentional response, a programmed behavior, a balance reaction, or remote control. Would you still push a robot after seeing this? 👀 🎥 Media: volgastore64 ( Instagram ) ⚠️ This content is shared for informational purposes only. CTO…
11:54 PM ET
FAFable
11:54 PM ETFAFable
@stretchcloud on X
The model that finds the most bugs does not find all the bugs. Bug Hunt Bench: 2 real repos, 105 hidden bugs, all tests green. Fable 5.1 leads at 43/105. GPT-5.6 is one behind at 42. But the number that matters most: 43 bugs have not been fixed by any single model. The union of all models covers 62 out of 105. That means 62/105 bugs are findable, but no single agent will find all of them. Each model catches bugs the others miss. The pattern I keep noticing on multi-model benchmarks is that the top model does not return a superset of what the others find. It returns a different distribution.…
11:34 PM ET
@stretchcloud
11:34 PM ET@stretchcloud
@stretchcloud on X
Standard coding benchmarks are saturating. The interesting separation is happening on autoresearch. Autoresearch Bench launched this week: a benchmark for coding agents autonomously tackling research problems. Not completing a spec, but identifying what to build, searching across literature and codebases, forming hypotheses, running experiments, synthesizing results. My read is this is the correct next benchmark. The top models have converged close enough on short-task evaluations that leaderboard position no longer predicts production outcomes reliably. Where the gap stays stark is in tasks…
10:34 PM ET
FAFable
10:34 PM ETFAFable
@stretchcloud on X
The benchmark gap that keeps surprising me: on standard coding benchmarks, the top models cluster. On ultra-long horizon coding, the gap blows open. Proximal released FrontierSWE v2 today. 34 real software engineering tasks, evaluated over hours with tool use and complex dependencies. Fable 5.1 scores 56.3%. GPT-5.6 scores 32.25%. That is a 24-point gap. Nothing on the standard leaderboards looks like this. The cost picture is equally interesting. GPT-5.6 costs more per run ($175 vs $138 for Fable 5.1) at roughly half the score. DeepSeek V4 Flash is cheapest at $8.57 but plateaus at 14.05%.…
10:14 PM ET
@stretchcloud
10:14 PM ET@stretchcloud
@stretchcloud on X
Sodium v2 introduces a WebMCP layer. Any website can now serve structured data directly to an AI agent without HTML scraping. This is AEO (Agent Engine Optimization) in practice. The web is starting to build for agents, not just browsers. I built DeepScrape to handle exactly this: giving agents reliable, structured access to web data at inference time. https://t.co/JZYTWY8roq https://t.co/oUD6R0G9j7
9:54 PM ET
Meta
9:54 PM ETMeta
@stretchcloud on X
Meta released Muse Spark 1.3 today. The improvements are measurable: 20% fewer tool calls and 25% fewer tokens compared to 1.2. Fewer tool calls is the right metric to optimize. Each round-trip adds latency and cost in an agentic loop. Reducing them is harder than reducing token count. This is the efficiency curve everyone building on top of these models should track. https://t.co/zSkyzwUonB
9:11 PM ET
Unitree
9:11 PM ETUnitree
@techniahqrobot on X
RoboGesture gives Unitree G1 something humanoids usually lack body language that moves with speech in real time. The ECCV 2026 system streams audio into a diffusion-based motion generator, then uses an MPC safety filter that adds just 5.6 ms per frame. The team reports collision rates as low as 0.13% and demonstrates the system on a real G1 with BrainCo hands. Still a controlled research setup, but an interesting direction. Could natural body language become as important as manipulation for service humanoids?
9:00 PM ET
NVIDIA
$NVDA
9:00 PM ETNVIDIA
@SemiAnalysis_ on X
NVIDIA Research 🚀 has produced some great research, like LatentMoE (used in Kimi K3) and GatedDeltaNets (used in Qwen). But for e2e frontier training, NVIDIA's bureaucratic culture has produced embarrassing models like Nemotron3 Ultra. Despite NVIDIA Research having amazing talent, Nemotron3 Ultra, with 550B total params (55B active), is getting mogged by all the Chinese models, including even Qwen3.8 27B parameters, which has ~20x fewer parameters.
8:46 PM ET
@Scobleizer
8:46 PM ET@Scobleizer
@Scobleizer on X
For a while I was depressed about VR. There are so many pioneers who have gone sour on VR/AR. That depression lifted this morning. The future is so amazing. And I am seeing this in many companies from robotics to space to VR/AR. And this is before he got AI hooked up. Which is why VR will come back. The models will make the magic in our own homes. The future is so insane. Parts arrive next year. You are seeing pre-quakes now.
8:14 PM ET
MIMiniMax
8:14 PM ETMIMiniMax
@stretchcloud on X
The pattern in AI inference is consistent: the fast-and-cheap version of a frontier model ships 2-4 weeks after the frontier version. H3 Max Turbo confirms this for video generation.H3 Max launched on August 26 at $0.08 per second of 768p output. H3 Max Turbo launches today at $0.01 per second, runs at 2x the speed, and hits the 97th percentile of H3 Max quality on evals. Seven days to a 50% cost reduction and 2x throughput improvement.The mechanism matters: fal built a separate inference engine specifically around MiniMax's H3 open-weights model architecture. They're not running H3 Max…
7:53 PM ET
@ruima
7:53 PM ET@ruima
@ruima on X
Well, this news really is dividing people. Some see this as evidence that AI has so much room to grow, especially as it expands beyond coding as a use case, since apparently this top 1% are other tech companies. Others see it as evidence that there is not enough economic value outside of tech. Very interesting. I definitely think the bullish viewpoint could be true, but this could still represent a huge concentration risk for these two companies in particular if people move to more open models
6:28 PM ET
@ruima
6:28 PM ET@ruima
@ruima on X
One underappreciated change in China: nearly 40% of new cars sold in H1 2026 came with L2+ or L2++ driving assistance. Roughly speaking, L2+ is like highway-focused FSD: highway navigation, lane changes, ramps. L2++ is closer to today’s FSD (Supervised), extending that capability into city streets. The really striking part: in China these features are increasingly bundled into the car, often with no subscription. In the US, FSD is $99/month, BlueCruise $50/month and Super Cruise $40/month after the included period. China is turning something Americans still largely treat as premium software…
6:15 PM ET
@0xconglomerate
6:15 PM ET@0xconglomerate
@0xconglomerate on X
Been seeing lots of people question why Microducks will take 4-6 months to ship. I don't think it's a hardware production issue...I feel like the team is still refining the out-of-the-box AI capabilities of the open source robot. It's basically already equipped with ready to use essential abilities without needing an external computer. Be patient lads!
6:00 PM ET
NVIDIA
$NVDA
6:00 PM ETNVIDIA
@NVIDIARobotics on X
Robots are ready to take on complex environments. 🌍 See how AI, simulation, and accelerated computing are redefining what’s possible in robotics at #NVIDIAGTC Berlin. View sessions 👉 https://t.co/KuuYG9io52 https://t.co/fPOZUrWjyr
5:47 PM ET
WLWorld Labs
5:47 PM ETWLWorld Labs
@a16z on X
World Labs co-founder Justin Johnson on how five photos from your phone could teach a robot to work in a room it has never seen: "I think there's a couple different tech trees that people are working on. One is this notion of fully in-context learning. Maybe I've got a robotics foundation model, then I can demonstrate to the robot once how a task should be performed, and that's enough for the robot to figure out that task." "Another version is what we're calling real-to-sim-to-real. Maybe I've got my pre-trained robotics foundation model, but I want to adapt it to this particular…
5:13 PM ET
ANAnthropic
5:13 PM ETANAnthropic
@MParekh on X
‘New and Improved’ in AI Models, Anthropic, OpenAI & Google. ARD #154 ...Fable 5.1’s fine print. Astra tips out on cyber. Gemini narrows the gap. World models level up. Full writeup and source links: https://t.co/UZSXoRFmE2 https://t.co/UOEqsFebFq
5:00 PM ET
ALAlibaba
5:00 PM ETALAlibaba
@stretchcloud on X
The AI assistant category is being replaced. QwenWork landed in public beta globally this week. Alibaba's move is to make the next product category a single subscription that puts an AI agent in control of your browser, your desktop, and your files. Not a chat assistant. An agent platform. The platform merges three Alibaba products into one: QoderWork for code, MuleRun for automation, and Wukong for browser agents. Describe a task in natural language. The agent navigates websites, operates your local computer, and executes multi-step processes without you switching tools. It ships multimodal…
4:47 PM ET
@ricci_nov
4:47 PM ET@ricci_nov
@ricci_nov on X
SinkPruner drops 89% of visual tokens in multimodal models with no training, keeping 96.5% of LLaVA-1.5's performance and 91.8% of Qwen2.5-VL's. The tokens it cuts are high-norm outliers earlier methods kept. Most visual context is paid for, not used. https://t.co/VIlBbkCqYU
4:40 PM ET
@stretchcloud
4:40 PM ET@stretchcloud
@stretchcloud on X
Firecrawl's bet: the next billion users are agents. Their exact framing when they launched agent signups: "We're betting on the next 1B+ users being agents." Ask your agent to add Firecrawl, claim an API key, pull web data in seconds. The signal is correct. Agents need structured web data, not links and snippets. Web search gives pointers. What agents actually need is reliable extraction from specific pages at scale. The problem the whole category has not solved is cost. Re-reading a page with an LLM on every pass to extract data burns tokens fast. When a page changes, you re-read. When you…
4:33 PM ET
MOMostik
4:33 PM ETMOMostik
@Scobleizer on X
You have been paying a giant model to think and then to write. That second part is the expensive one. Mostik splits it. The giant model reads your problem. A small one on your own computer writes the answer. They share the thinking, not the words. 80% as good. 20 times faster. https://t.co/AD0GdYmAUg @mostik_ai @aimalysheva
4:20 PM ET
Google
$GOOGL
4:20 PM ETGoogle
@stretchcloud on X
The model tier split just happened. Gemini 3.8 Flash and Gemini 3.8 Flash Cyber launched today. Same day, completely different access regimes. The public Flash model is on the Gemini API at $0.75 per million input tokens. It scores 73.7% on DeepSWE 1.1, leads Harvey's Legal Agent Benchmark, and is the third updated Flash in 6 weeks. Gemini 3.8 Flash Cyber is not on the public API at all. Access is through Google's Fairwind Program, restricted to government agencies, critical infrastructure operators, and software maintainers. The capability gap is not marginal. Google's Chrome Security team…
4:10 PM ET
ZRZeroth Robotics
4:10 PM ETZRZeroth Robotics
@HumanoidsHQ on X
Zeroth Robotics just unveiled Zeroth Bridge, an open platform built to bring embodied AI into the real world. 🤖 The Geek Edition costs $1,322 and is designed for developers, research, education and robotics competitions. At 88 cm tall and 12 kg, it can walk, jump, dance and even do backflips. With OpenBridge, developers can experiment, build and teach the robot new capabilities. This is how physical AI becomes accessible to more people. 🔥
3:50 PM ET
XSX Square Robot
3:50 PM ETXSX Square Robot
@humanoidsdaily on X
X Square Robot just unveiled TwinDEX, an isomorphic three-finger, 9-DoF manipulation interface designed to solve the physical AI data bottleneck. By matching a wearable exoskeleton directly to a robot end effector across kinematics, touch, and geometry, it allows policies to learn complex dexterous tasks—like an uncut 24-step chemistry lab test—with zero on-robot training data.
3:47 PM ET
MOmondorobotics
3:47 PM ETMOmondorobotics
@HumanoidsHQ on X
Beni has been an absolute surprise. 🤖 It’s tough, fun and the kids love it. Watching it fall, get back up and keep going is impressive. But the real excitement is what comes next. Physical AI is still just getting started, and Beni could evolve into a genuinely useful companion for everyday life. Robot by @mondorobotics.
3:36 PM ET
Meta
3:36 PM ETMeta
@TheRundownAI on X
The heavy week of AI releases continues with Meta and Muse Spark 1.3. Big jumps across the board over 1.2, with Mark Zuckerberg calling it "frontier performance almost too cheap to meter." https://t.co/uSrU3L5P6O
3:20 PM ET
@stretchcloud
3:20 PM ET@stretchcloud
@stretchcloud on X
The question "which model is better for my use case" only has one honest answer: run your actual work across both and compare. Fable 5.1 shipped yesterday. Qwen3.8-Max-0902 shipped yesterday. Grok 4.7 arrives in 10 days. Gemini 3.8 Flash dropped today. Four serious coding models in 48 hours. What I keep seeing: the teams getting value aren't the ones reading benchmark tables. They're the ones running the same task across multiple agent backends in isolated environments, measuring real output on real code. That's what I built Campfire for. One browser tab, every major coding agent: Claude…
3:14 PM ET
@Scobleizer
3:14 PM ET@Scobleizer
@Scobleizer on X
All right, I'm standing at Greg's house. I just had the demo. F***ing amazing! Anybody who wants to see that VR is not dead, you got to get to Greg's house in San Francisco and get a demo of what he built. Let's just put it this way: he turned a physical thing and his house itself into magic, and completely shifted my idea of where VR could go in the next few years. Unfortunately, I can't tell you much more than that because he wants to show this off personally to people. Trying to explain it on X wouldn’t work anyway. But I just got a lot more bullish on XR. And a lot happier that I have an…
3:09 PM ET
CACaterpillar
3:09 PM ETCACaterpillar
Caterpillar | Caterpillar and FieldAI Advance AI-Powered Industrial Innovation
- News - Corporate Press Releases - Corporate Press Release Archive - Caterpillar and FieldAI Advance AI-Powered Industrial Innovation Caterpillar and FieldAI Advance AI-Powered Industrial Innovation Leveraging robotics, digital twins and NVIDIA technologies, the collaboration helps create safer, smarter and more productive operations IRVING, Texas, Sept. 2, 2026 – As industries face growing labor shortages and increasing productivity demands, Caterpillar Inc. (NYSE: CAT) is collaborating with FieldAI to advance physical AI, autonomy and robotics that help jobsites and factories operate safer…
3:06 PM ET
SHShuoYangAIR
3:06 PM ETSHShuoYangAIR
@TheHumanoidHub on X
We've had Beni for a couple of months now, and one word comes to mind: delightful. The standout part was the hardware robustness. Our kids get rough with it, obstacle courses on concrete, dirt, collisions. It tumbles, gets back up, and it's scratched all over, but it has never shown a sign of breaking or throttling. It just keeps going every time. It works right out of the box with a physical remote, and the phone app adds tracking and video recording. Beni captures the imagination. People get the cute vibes the moment it stands up on two wheels. I took it to the REK robot fight event, and…
3:00 PM ET
WLWorld Labs
3:00 PM ETWLWorld Labs
@stretchcloud on X
Something shifted with the World Labs Atlas announcement. We've had image generators, video generators, and 3D tools for years. Atlas does all three from a single model with the same spatial understanding. The technical description: a multimodal autoregressive diffusion transformer, pre-trained from scratch on image, video, 3D, and camera movement jointly. Not a video model with 3D features bolted on. One model, one spatial representation. What it can do: pixel-perfect camera control on generated frames up to 1440p. Video up to 60 seconds. Input a scene or image, move the camera in any…
3:00 PM ET
NVIDIA
$NVDA
3:00 PM ETNVIDIA
NVIDIA at ROSCon 2026 | Toronto, Canada
Join NVIDIA at ROSCon 2026 September 22–24, 2026 Toronto, Canada at the Sheraton Centre Toronto Hotel Register Now - Overview - Sessions - FAQs - Solutions - Resources & Community - Next Steps - Overview - Overview - Sessions - FAQs - Solutions - Resources & Community - Next Steps - Overview - Sessions - FAQs - Solutions - Resources & Community - Next Steps Discover What’s Possible With NVIDIA Robotics Join NVIDIA, partners, and customers for three days of workshops, technical talks, tutorials, and demos. Learn from leading robotics developers and get the latest on the NVIDIA Isaac™ and…
12:00 PM ET
Andra Keay
12:00 PM ETAndra Keay
Learning about robots from science fiction - by Andra Keay
Robots & Startups Interesting things about robots, robot startups, and the future that's already here. From the epicenter of the robot revolution - Silicon Valley Robotics. By Andra Keay · Over 10,000 subscribers Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Not right now thanks “Andra Keay does a lot of work describing how the development of robotics will shape our future. Her weekly posts are detailed and meticulously written.”...” “Andra Keay does a lot of work describing how the development of robotics…
12:00 PM ET
NVIDIA
$NVDA
12:00 PM ETNVIDIA
@NVIDIARobotics on X
🤖 A robot policy can be compact enough to run onboard and fast enough to keep the arm moving continuously. Post-trained NVIDIA Cosmos 3 Edge on NVIDIA Jetson AGX Thor T5000 generates roughly 2.13 seconds of robot motion in about 1.53 seconds, then replans from fresh camera and robot-state observations. Developers can test the same policy in closed-loop RoboLab simulation across 120 language-conditioned manipulation tasks before evaluating on hardware.
11:10 AM ET
@OperationsPLS
11:10 AM ET@OperationsPLS
@OperationsPLS on X
The capital rotation into robotics and physical AI reflects a structural shift, not just a theme cycle. Unlike clean energy, the productivity gains here compound directly into manufacturing cost curves — which is why the investment thesis has more durability. @rickyho_1989
11:01 AM ET
Agility Robotics
11:01 AM ETAgility Robotics
Agility on X: "Every object a different size, weight, and grip. Rearranging a full room's worth of stuff is the same generalized manipulation Digit uses to take on mixed loads and changing layouts on a real warehouse floor.
#Agility #DigitRobot" / X
Post Log in Sign up Post Agility on X: "Every object a different size, weight, and grip. Rearranging a full room's worth of stuff is the same generalized manipulation Digit uses to take on mixed loads and changing layouts on a real warehouse floor. \#Agility \#DigitRobot" - Agility @agilityrobotics Every object a different size, weight, and grip. Rearranging a full room's worth of stuff is the same generalized manipulation Digit uses to take on mixed loads and changing layouts on a real warehouse floor. #Agility #DigitRobot 00:00 View media 11:01 AM · Sep 2, 20261.6KViews 5 2 29 - cyberprince…
10:08 AM ET
David Cao Physical AI Builders
10:08 AM ETDavid Cao Physical AI Builders
Home | Physical AI Signal Newsletter |
Physical AI Builders Newsletter Subscribe TwitterLinkedInFacebookYouTubeDiscord \\ \\ Sep 2, 2026\\ \\ •\\ \\ 3 min read\\ \\ Physical AI Newsletter is one year old, thank you!\\ \\ Now also on Linkedin, X.com\\ \\ \\ \\ David Cao \\ \\ Aug 30, 2026\\ \\ •\\ \\ 2 min read\\ \\ Behind A16z's $1.1B Hardware Shift - Silicon Valley Went Physical - From Robot Brain to Infrastructure \\ \\ Fifteen years after "software is eating the world," Marc Andreessen's own firm just admitted atoms are eating software's margins. \\ \\ \\ \\ David Cao \\ \\ Aug 26, 2026\\ \\ •\\ \\ 7 min read\\ \\ How to Build…
9:43 AM ET
NVIDIA
$NVDA
9:43 AM ETNVIDIA
@techniahqrobot on X
We’re cooked if robots can start learning from bodies they don’t even have. NVIDIA Brown Columbia and Harvard researchers released Hydra-0, a world model that represents robot actions as pixel motion. It was trained on about 2,202 hours of multi-embodiment video spanning human hands, handheld grippers, single-arm robots and bimanual systems. Instead of tying an action to one specific robot body, Hydra-0 predicts how objects should move in the image. The team also tested it on a real 14-DoF YAM robot, which bent a flexible pipe from a desired object motion. This is still a controlled…
9:20 AM ET
CACaterpillar
9:20 AM ETCACaterpillar
Wall St Engine on X: "CATERPILLAR PARTNERS WITH FIELDAI ON PHYSICAL AI
$CAT is working with FieldAI to bring AI-powered autonomy and robotics into jobsites and factories, using Caterpillar’s operational data, FieldAI’s robot foundation models and NVIDIA technologies.
Early applications include au… / X
Post Log in Sign up Post Wall St Engine on X: "CATERPILLAR PARTNERS WITH FIELDAI ON PHYSICAL AI $CAT is working with FieldAI to bring AI-powered autonomy and robotics into jobsites and factories, using Caterpillar’s operational data, FieldAI’s robot foundation models and NVIDIA technologies. Early applications include autonomous inspections, real-time digital twins, risk detection and AI-driven optimization of equipment and facility operations." - Wall St Engine @wallstengine CATERPILLAR PARTNERS WITH FIELDAI ON PHYSICAL AI $CAT is working with FieldAI to bring AI-powered autonomy and…
8:32 AM ET
Figure
8:32 AM ETFigure
@10xthinker on X
Are humanoids a business story or just hype? - The Beijing robotics conference almost looked like a comedy show — robots stumbling, misidentifying obstacles, and performing like toddlers. - Yet the buzz has helped companies like Unitree reach valuations exceeding 1,200x earnings. At the same time, most robots deployed in China today don’t require general-purpose intelligence. So why are billions being invested? Is it an obsession with the human form factor, or because humanoids can be emotionally resonant? Our world — factories, hospitals, and homes — is built for humans. That creates a…
8:00 AM ET
MSMorgan Stanley
8:00 AM ETMSMorgan Stanley
@smsehy on X
Morgan Stanley estimates building an Optimus Gen 2 costs $45,500 using China's supply chain, versus $131,800 without it. That $86,300 delta is not simply raw neodymium pricing. It reflects fifteen years of continuous capital expenditure across EV assembly lines, rare earth magnet processing plants, and specialized high-precision machine tools. Software and foundation models grab the headlines in robotics. Yet when humanoids transition to volume manufacturing, the physical AI race collides directly with industrial processing capacity at the periodic table.
4:17 AM ET
NVNVIDIARobotics
4:17 AM ETNVNVIDIARobotics
@continuumlabs_ on X
@NVIDIARobotics @NobleMachines @ADLINK_IoT Industrial environments are probably one of the best proving grounds for physical AI. If robots can reliably handle these tasks, the range of real-world applications gets much wider.
4:00 AM ET
Unitree Robotics
4:00 AM ETUnitree Robotics
Humanoid Digest: August 2026 | XMAQUINA DAO
Genesis Auction Wave 2! Launches June 24 Get DEUS homeDAO Portal Humanoid Digest: August 2026 Color theme: Another major robotics company reached the public markets as investment and company formation continued across the sector. .png) August 28, 2026 Category: Physical AI Read time: 11 minutes Share This: Unitree became the latest robotics company to go public in August, giving investors another public benchmark for valuing the sector. As more robotics companies mature outside private funding, public markets are beginning to play a larger role in how the industry is financed and valued. The…
4:00 AM ET
Unitree Robotics
4:00 AM ETUnitree Robotics
XMAQUINA on X: "Humanoid Digest: August
Another humanoid company made its public market debut this month, while the World Humanoid Robot Games in Beijing delivered another successful showcase for the industry.
Here’s what happened 🧵" / X
Post Log in Sign up Post XMAQUINA on X: "Humanoid Digest: August Another humanoid company made its public market debut this month, while the World Humanoid Robot Games in Beijing delivered another successful showcase for the industry. Here’s what happened 🧵" - XMAQUINA @xmaquina Humanoid Digest: August Another humanoid company made its public market debut this month, while the World Humanoid Robot Games in Beijing delivered another successful showcase for the industry. Here’s what happened 🧵 View media 4:00 AM · Sep 2, 20262.3KViews 5 8 74 3 - XMAQUINA @xmaquina 9h 1/ Unitree reached the…
3:44 AM ET
ALAlibaba
3:44 AM ETALAlibaba
Chubby♨️ on X: "wtf Qwen 3.8 has been updated to version 0902 and is now almost at the same level as Fable 5 in benchmarks.
The interesting two aspects:
1) For such significant jumps, it seems that you don't even change the version number anymore (no Qwen 3.9), rather the development happens so q… / X
Post Log in Sign up Post Chubby♨️ on X: "wtf Qwen 3.8 has been updated to version 0902 and is now almost at the same level as Fable 5 in benchmarks. The interesting two aspects: 1) For such significant jumps, it seems that you don't even change the version number anymore (no Qwen 3.9), rather the development happens so quickly that an update is simply added 2) it is breathtaking to see how much China is catching up and the gap to US labs is narrowing. Despite still having significantly fewer computers in comparison, models like Qwen are following suit and keeping up. Absurd." - Chubby♨️…
3:26 AM ET
@smsehy
3:26 AM ET@smsehy
@smsehy on X
Localized low-latency inference on humanoids requires automotive-grade high-bandwidth memory that withstands intense mechanical vibration and thermal cycling. Sizing on-chip memory buffers to prevent bus saturation during continuous high-rate tactile policy execution directly dictates compute bill of materials.
3:05 AM ET
Apptronik
3:05 AM ETApptronik
Global Robotics Industry Converges on Japan for Humanoids Summit Tokyo 2026
- Global Robotics Industry Converges on Japan for Humanoids Summit Tokyo 2026 Share Leaders across robotics, physical AI, and automation gather in Tokyo this May Download media TOKYO--( BUSINESS WIRE)--Tokyo is emerging as a global center for humanoid robotics as industry leaders from around the world prepare to gather for the Humanoids Summit Tokyo , taking place May 28–29, 2026 at the Takanawa Gateway Convention Center. First announced in December as the Summit’s inaugural Asia edition, the Tokyo event is building strong momentum as the global robotics community focuses on humanoid robots,…
12:15 AM ET
Tesla
$TSLA
12:15 AM ETTesla
Nic Cruz Patane on X: "The @Tesla Cybercab is launching this week.
Good luck to Waymo." / X
Post Log in Sign up Post Nic Cruz Patane on X: "The @Tesla Cybercab is launching this week. Good luck to Waymo." - Nic Cruz Patane @niccruzpatane The @Tesla Cybercab is launching this week. Good luck to Waymo. View media 12:15 AM · Sep 2, 2026404.6KViews 279 586 7K 521 - Chris Milas 🐂 @chrismilas 13h Revenue View media 9 2 67 4.1K - Mr.Lin @wanqinlin 3h People keep arguing “Waymo costs this much, Tesla taxi costs that much.” Bro. We are not buying the car. We are not taking it home. We are not parking it. We are not washing it. We are just sitting in the back while a robot drives us around.…
11:53 PM ET
Agility Robotics
11:53 PM ETAgility Robotics
@CapitalSqueez on X
$CCXI Agility Robotics is the cleanest public-market proxy for Jensen Huang’s “every industrial company becomes a robotics company” call. While most humanoid names are still selling demo reels, Digit is already on live floors moving totes and tending machines. NVIDIA is not a distant partner here. Agility is an NVentures portfolio company, Digit’s onboard brain is moving onto Jetson / IGX Thor @agilityrobotics @HumanoidInvest @slinkyhammer @SCSQ2022 @valueInIdeas @chris_j_paxton
11:48 PM ET
ARaxis robotics
11:48 PM ETARaxis robotics
Omai Leidi (3/3) on X: "Happy Wednesday frens👋
Everyone is watching the race to build better robots.
I’m starting to think the real race is the data teaching those robots how to act.
I’ve been digging into @axisrobotics, and it changed how I look at the space.
At first glance, AXIS looks like… / X
Post Log in Sign up Post Omai Leidi (3/3) on X: "Happy Wednesday frens👋 Everyone is watching the race to build better robots. I’m starting to think the real race is the data teaching those robots how to act. I’ve been digging into @axisrobotics, and it changed how I look at the space. At first glance, AXIS looks like a platform where you control simulated robots from your browser. That’s only the entry point. The bigger idea is robotic data infrastructure. Robots need experience to become useful. They need to pick things up, move objects, sort items, assemble parts, use tools, and operate in…
10:38 PM ET
Google
$GOOGL
10:38 PM ETGoogle
@OdinsDeposition on X
@dotkrueger They essentially pinpointed their long running targets today with Nvidia and Spacex CEOs both aligned on listing 10x economic gains from robotics. Prior to that 20-30% global economic gain from widespread digital AI.
10:31 PM ET
ZIZiNovaLabs
10:31 PM ETZIZiNovaLabs
LimX Dynamics on X: "Together with ZINOVA's Tool Intelligence, TRON 2 takes on increasingly complex construction workflows.
@ZiNovaLabs builds on TRON 2 to explore an innovative robotic configuration for construction, demonstrating key tasks in a scaled-down tilt-up construction workflow, includi… / X
Post Log in Sign up Post LimX Dynamics on X: "Together with ZINOVA's Tool Intelligence, TRON 2 takes on increasingly complex construction workflows. @ZiNovaLabs builds on TRON 2 to explore an innovative robotic configuration for construction, demonstrating key tasks in a scaled-down tilt-up construction workflow, including formwork assembly, multi-layer rebar placement and tying. TRON 2 serves as a modular and extensible embodied robotic platform for multi-tool, multi-step tasks across large workspaces. Its dual arms handle construction tools and materials across different orientations and…
8:00 PM ET
NHNorbert Health
8:00 PM ETNHNorbert Health
Norbert Health Raises US$14 Million Series A for Autonomous Robotic Nursing Assistants
Norbert Health, a Brooklyn-based company that turns robotic hardware into autonomous nursing assistants, raised a US$14 million Series A announced September 1, 2026. The round was led by William A. Marino with Cardinal Group, with participation from Exor Seeds and CareIT, and an angel roster that includes Datadog co-founders Alexis Le-Quoc and Olivier Pomel, Noom co-founder and executive chairman Saeju Jeong, and Owkin chief executive Thomas Clozel. The financing brings total capital raised to US$19 million. The company, led by co-founder and chief executive Alexandre Winter, sells a control…
7:22 PM ET
TITeradyne Inc
7:22 PM ETTITeradyne Inc
Value Investing Edge on X: "8. $TER | Major semiconductor-test and industrial robotics play, owning Universal Robots and MiR while supplying testing equipment critical to AI chips and memory. Q2 2026 revenue reached $1.33B, up 104% YoY." / X
Post Log in Sign up Post Value Investing Edge on X: "8. $TER \| Major semiconductor-test and industrial robotics play, owning Universal Robots and MiR while supplying testing equipment critical to AI chips and memory. Q2 2026 revenue reached $1.33B, up 104% YoY." - Value Investing Edge @StonkValue 16h $NVDA just said Physical AI could be 1,000% bigger than Digital AI. 10 best growth stocks to build a Robotics portfolio: 1\. $UMAC \| Positioned as a domestic supply-chain play for commercial and defense drones. Builds U.S.-made drone components. Q2 2026 revenue reached $16.7M, Show more - \\ \\…
7:00 PM ET
NVIDIA
$NVDA
7:00 PM ETNVIDIA
From Robot Development to Deployment with Isaac GR00T & Jetson Thor - YouTube
From Robot Development to Deployment with Isaac GR00T & Jetson Thor Visibility: Public Uploaded by: NVIDIA Omniverse Uploaded at: 2026-08-27 Published at: 2026-08-26 Length: 1:17:39 Views: 12267 Likes: 131 Category: Science & Technology Description Transcript [music] We're coming in hot. [laughter] This live stream is off the hook. You guys are really going to love this one. As you can see, right next to me, we've got a nice little stage uh camera set up with a nice little uh little robot setup. We're going to go into that a little bit later, but I'm so happy for you to join us. Welcome to…
7:00 PM ET
Nvidia
$NVDA
7:00 PM ETNvidia
Noble Machines Accelerates Humanoid Robot Development 3X | NVIDIA
Manufacturing \| Robotics Noble Machines Accelerates General Purpose Industrial Robot Development With NVIDIA Isaac GR00T Learn More Objective Noble Machines is advancing industrial robot development with the Moby general-purpose industrial robot and its supporting software stack, including a proprietary AI driven whole-body-control system. Moby is designed for complex, hazardous, and labor-intensive work across factories, logistics centers, construction sites, and semiconductor facilities, where operating reliably requires advanced perception, reasoning, adaptation, and physical interaction.…
6:07 PM ET
@drfeifei
6:07 PM ET@drfeifei
@drfeifei on X
@DrJimFan @theworldlabs Indeed Jim, a camera conditioned world model with spatial context has so much horizontal usage including real2sim for robotics!
4:48 PM ET
NVIDIA
$NVDA
4:48 PM ETNVIDIA
Accelerate Computational Engineering and Robotics With NVIDIA Warp | AddEvent
Accelerate Computational Engineering and Robotics With NVIDIA Warp schedule Wednesday, September 2, 1:00pm - 2:00pm (CDT) print Share - Facebook - Twitter - LinkedIn - Google Plus - Whatsapp - VK - StumbleUpon - Reddit - Email Link: south\americaexpand\moreTime shown inCDT -05:00America, Chicago search close Time zone am/pm 24h - (GMT-11:00)Pacific, Midway - (GMT-11:00)Pacific, Niue - (GMT-11:00)Pacific, Pago Pago - (GMT-10:00)Pacific, Honolulu - (GMT-10:00)Pacific, Rarotonga - (GMT-10:00)Pacific, Tahiti - (GMT-09:30)Pacific, Marquesas - (GMT-09:00)America, Adak - (GMT-09:00)Pacific, Gambier…
2:21 PM ET
ANAnthropic
2:21 PM ETANAnthropic
Yuchen Jin on X: "Even if most AI labs are benchmark-maxxing now, Fable 5.1 still looks like an insane jump.
From Anthropic’s blog:
- Found a 1-in-a-million crash Millennium’s team couldn’t explain for 4–5 years
- 2x faster than Opus 5 while using half the tokens
Big if true." / X
Post Log in Sign up Post Yuchen Jin on X: "Even if most AI labs are benchmark-maxxing now, Fable 5.1 still looks like an insane jump. From Anthropic’s blog: \- Found a 1-in-a-million crash Millennium’s team couldn’t explain for 4–5 years \- 2x faster than Opus 5 while using half the tokens Big if true." - Yuchen Jin @Yuchenj\UW Even if most AI labs are benchmark-maxxing now, Fable 5.1 still looks like an insane jump. From Anthropic’s blog: \- Found a 1-in-a-million crash Millennium’s team couldn’t explain for 4–5 years \- 2x faster than Opus 5 while using half the tokens Big if true. View…
2:09 PM ET
NMNoble Machines
2:09 PM ETNMNoble Machines
From Robot Development to Deployment with Isaac GR00T & Jetson Thor - YouTube
Error 401 (Bad Request)!!1 401. That’s an error. The server cannot process the request because it is malformed. It should not be retried. That’s all we know. Back Skip navigation Search Search with your voice Sign in From Robot Development to Deployment with Isaac GR00T & Jetson Thor Tap to unmute 2x From Robot Development to Deployment with Isaac GR00T & Jetson Thor NVIDIA Omniverse 12,267 views Streamed 7d ago Copy link Info Shopping If playback doesn't begin shortly, try restarting your device. • You're signed out Videos you watch may be added to the TV's watch history and influence TV…
2:09 PM ET
Nvidia
$NVDA
2:09 PM ETNvidia
Seeed reBot Arm B601-RS: Physical AI & VLA Model Course | NVIDIA DLI Series
Warehouse China Warehouse US Warehouse Germany Warehouse The store will not work correctly in the case when cookies are disabled. US Warehouse: Enjoy FREE UNIUNI shipping on orders under $50! (Excludes XIAO & Raspberry Pi series) \\ \\ the AI Hardware Partner For Industry Products Local Warehouse Documents Customization Solution Software Support Open Claw Quick Order Account Get more with a SeeedStudio accountclear \\ \\ 1 on 1 Support \\ \\ Local Delivery \\ \\ 30-Day DOA Guarantee \\ \\ 30-Day Returns Sign In Create Account My Orders\\ Track, change, cancel Account Information\\ Update…
1:48 PM ET
SAsanctuary
1:48 PM ETSAsanctuary
Physical AI for Industrial Automation | Sanctuary AI
We value your privacy We use cookies to enhance your browsing experience, serve personalised ads or content, and analyse our traffic. By clicking "Accept All", you consent to our use of cookies. CustomiseReject AllAccept All Customise Consent Preferences We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below. The cookies that are categorised as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... Show more…
1:29 PM ET
Google
$GOOGL
1:29 PM ETGoogle
Google DeepMind on X: "We’re bringing agentic video understanding to our latest Gemini models.
They can now analyze videos with better accuracy while using up to 88% fewer tokens. 🧵" / X
Post Log in Sign up Post Google DeepMind on X: "We’re bringing agentic video understanding to our latest Gemini models. They can now analyze videos with better accuracy while using up to 88% fewer tokens. 🧵" - Google DeepMind @GoogleDeepMind We’re bringing agentic video understanding to our latest Gemini models. They can now analyze videos with better accuracy while using up to 88% fewer tokens. 🧵 View media 1:29 PM · Sep 1, 2026127.2KViews 93 132 1.3K 264 - Google DeepMind @GoogleDeepMind 21h Instead of scanning an entire file, Gemini reasons across the video’s transcript, audio, and…
1:28 PM ET
WLworld-labs
1:28 PM ETWLworld-labs
World Labs on X: "All of this is powered by one unified architecture: a multimodal autoregressive diffusion transformer, pretrained from scratch.
This foundation blends the best of modern LLMs and video models, benefiting from the architectural, algorithmic, and systems advances from both areas." / X
Post Log in Sign up Post World Labs on X: "All of this is powered by one unified architecture: a multimodal autoregressive diffusion transformer, pretrained from scratch. This foundation blends the best of modern LLMs and video models, benefiting from the architectural, algorithmic, and systems advances from both areas." - World Labs @theworldlabs 12h Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time. 00:00 View media 330…
1:28 PM ET
WLworld-labs
1:28 PM ETWLworld-labs
Atlas: A World Model for Spatial Intelligence | World Labs
September 1, 2026Introducing Atlas, our new omni world model for spatial intelligence. Atlas: A World Model for Spatial Intelligence World models generate, reconstruct, and simulate any possible world. They understand how worlds appear, behave, and evolve so that we can render imagined worlds for creative users, simulate the real world in high fidelity, and help robots plan actions. At World Labs, we build these general purpose world models in pursuit of spatial intelligence. Today we are introducing Atlas, our next-generation world model. Atlas is an omni model that we pretrained from…
12:53 PM ET
Nvidia
$NVDA
12:53 PM ETNvidia
Polymarket Money on X: "BREAKING: Nvidia declares physical AI could become “10x larger than digital AI” with Jensen Huang predicting every industrial company will become a robotics company." / X
Post Log in Sign up Post Polymarket Money on X: "BREAKING: Nvidia declares physical AI could become “10x larger than digital AI” with Jensen Huang predicting every industrial company will become a robotics company." - Polymarket Money @PolymarketMoney BREAKING: Nvidia declares physical AI could become “10x larger than digital AI” with Jensen Huang predicting every industrial company will become a robotics company. 12:53 PM · Sep 1, 2026200.5KViews 78 283 3.3K 503 - GEODNET @GEODNET 20h Jensen is spot on. But as Physical AI scales 10x, standard digital compute isn't enough. Autonomous robots,…
12:01 PM ET
Andra Keay
12:01 PM ETAndra Keay
Learning about robots from science fiction - by Andra Keay
Robots & Startups Interesting things about robots, robot startups, and the future that's already here. From the epicenter of the robot revolution - Silicon Valley Robotics. By Andra Keay · Over 10,000 subscribers Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Not right now thanks “Andra Keay does a lot of work describing how the development of robotics will shape our future. Her weekly posts are detailed and meticulously written.”...” “Andra Keay does a lot of work describing how the development of robotics…
12:00 PM ET
WAwafer
12:00 PM ETWAwafer
wafer on X: "We’re excited to announce that we’ve raised a $40M Series A!
co-led by @MarathonMP and @chemistry, with participation from @Wing_VC, @AMD Ventures, @outsetcap, @fiftyyears, and @ycombinator, and our existing investors doubling down on @wafer_ai. we are also joined by an incredible lis… / X
Post Log in Sign up Post wafer on X: "We’re excited to announce that we’ve raised a $40M Series A! co-led by @MarathonMP and @chemistry, with participation from @Wing\VC, @AMD Ventures, @outsetcap, @fiftyyears, and @ycombinator, and our existing investors doubling down on @wafer\ai. we are also joined by an incredible list of angels, including @JeffDean (CEO, @DiscoLoopAI), @rauchg (CEO, @vercel), @andyfang (CTO, @DoorDash), @kvogt (CEO, Bot), @akothari (COO, @NotionHQ), @eastdakota (CEO, @Cloudflare), @deepgramscott (CEO, @DeepgramAI), and more! Most inference optimization today is manual,…
11:56 AM ET
Robert Scoble
11:56 AM ETRobert Scoble
Unaligned Newsletter
Unaligned Newsletter Industry-wide analysis of the hottest companies and people in AI / Spatial Computing Archive Sep 01, 2026\\ \\ When Every Machine Becomes an AI Agent With Physical AI \\ \\ \\ \\ Robert Scoble, +1 Aug 25, 2026\\ \\ The New Economics of AI \\ \\ Intelligence Is Becoming a Commodity \\ \\ \\ \\ Robert Scoble, +1 Aug 18, 2026\\ \\ The Convergence of Spatial Computing and Physical AI \\ \\ Why the Next Generation of Robotics Needs Both \\ \\ \\ \\ Robert Scoble, +1 Aug 11, 2026\\ \\ AI Is Making Timing More Valuable Than Intelligence \\ \\ \\ \\ Robert Scoble, +1 Aug 04,…
11:16 AM ET
Physical Intelligence
11:16 AM ETPhysical Intelligence
Timothy B. Lee on X: "Last year roboticist Benjie Holson created the "Humanoid Olympics," a list of tasks that are trivial for humans but hard for robots. A startup called Physical Intelligence solved several of them three months later. But there were some big caveats!" / X
Post Log in Sign up Post Timothy B. Lee on X: "Last year roboticist Benjie Holson created the "Humanoid Olympics," a list of tasks that are trivial for humans but hard for robots. A startup called Physical Intelligence solved several of them three months later. But there were some big caveats!" - Timothy B. Lee @binarybits Sep 1 Robots can dance, do backflips, and run faster than Usain Bolt. This makes a lot of people worry about mass unemployment. But @chi\t\williams wrote an amazing article explaining why it'll take years — possibly decades — for robots to match humans. \\ \\ Why humanoid…
11:12 AM ET
Tesla
$TSLA
11:12 AM ETTesla
@MilkRoadAI on X
Elon Musk thinks humanoid robots could become a bigger industry than almost anyone expects (Save this). @elonmusk said the usefulness of a humanoid robot depends on three factors, the quality of its artificial intelligence software, the performance of its onboard chip and the dexterity of its mechanical systems, especially its hands. Because all three areas are improving rapidly, even small advances could multiply together and make robots significantly more capable over time. Musk also believes robots could eventually help manufacture more robots, creating a self reinforcing production cycle…
10:01 AM ET
FAFanuc
10:01 AM ETFAFanuc
Learning about robots from science fiction - by Andra Keay
Robots & Startups Interesting things about robots, robot startups, and the future that's already here. From the epicenter of the robot revolution - Silicon Valley Robotics. By Andra Keay · Over 10,000 subscribers Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Not right now thanks “Andra Keay does a lot of work describing how the development of robotics will shape our future. Her weekly posts are detailed and meticulously written.”...” “Andra Keay does a lot of work describing how the development of robotics…
6:30 AM ET
EAeastworlds_io
6:30 AM ETEAeastworlds_io
@0xconglomerate on X
.@eastworlds_io is producing 200 hours of humanoid teleop data every week, making it the largest @UnitreeRobotics G1 data source outside China. That might look small beside known datasets, but they combine data collection and real-world robot deployment in one operation. This means they can use what happens in deployment to refine what they collect next. So instead of just adding more hours, the data can become more targeted, efficient, and cost-effective. The tradeoff is breadth. Eastworlds’ current Unitree G1 focus gives them depth on one embodiment, but not automatically the task and scene…
3:53 AM ET
https://x.com/ChongZzZhang
3:53 AM EThttps://x.com/ChongZzZhang
C. Zhang on X: "New paper release: Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids
Paper https://t.co/LlrDsajHqx
Videos https://t.co/jXLtG68oUg
We study how to do learning and sim2real for 3d traversal, such as monkey bars and overhanging obstacles." / X
Post Log in Sign up Post C. Zhang on X: "New paper release: Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids Paper https://t.co/LlrDsajHqx Videos https://t.co/jXLtG68oUg We study how to do learning and sim2real for 3d traversal, such as monkey bars and overhanging obstacles." - C. Zhang @ChongZzZhang New paper release: Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids Paper arxiv.org/pdf/2608.29769 Videos nemantor.github.io/sparse-3d-trav… We study how to do learning and sim2real for 3d traversal, such as monkey bars and overhanging obstacles.…
12:08 AM ET
Unitree
12:08 AM ETUnitree
@OptionKing666 on X
Unitree’s IPO raised RMB 6bn and closed its first day up 460% at an RMB 237bn market value; 48% of proceeds is allocated to robot-model R&D. The asymmetry is clear: funding for capability expansion is already abundant, while the return on that spend remains unproven through a full cycle. Validation requires brain R&D to monetize into the FactSet-estimated revenue ramp from RMB 2.9bn in 2026E to RMB 4.9bn in 2027E. A miss would falsify the capital-efficiency case; the main risk is multiple compression from Unitree’s 80x/48x 2026E/2027E P/S before monetization catches up.
10:31 PM ET
Google
$GOOGL
10:31 PM ETGoogle
smartfitguide on X: "Google DeepMind's RT-2 model treats robot actions as text tokens. By co-fine-tuning pre-trained Vision-Language Models with robotic data, it achieved nearly double the performance on novel tasks compared to its predecessor, RT-1. #AI" / X
Post Log in Sign up Post smartfitguide on X: "Google DeepMind's RT-2 model treats robot actions as text tokens. By co-fine-tuning pre-trained Vision-Language Models with robotic data, it achieved nearly double the performance on novel tasks compared to its predecessor, RT-1. \#AI" - smartfitguide @bareani21645 Google DeepMind's RT-2 model treats robot actions as text tokens. By co-fine-tuning pre-trained Vision-Language Models with robotic data, it achieved nearly double the performance on novel tasks compared to its predecessor, RT-1. #AI View media 10:31 PM · Aug 31, 20268Views Reply 1
9:41 PM ET
Figure
9:41 PM ETFigure
科技一分钟 on X: "马斯克质问Figure 03
Figure 03做家务的视频引发关注，马斯克公开追问是否有人远程操控。Figure创始人回应“完全自主”，但这并不等于机器人已经具备通用家庭服务能力。
#Figure03 #人形机器人 #马斯克 #具身智能 #科技一分钟 #FC200 #系留系统" / X
Post Log in Sign up Post 科技一分钟 on X: "马斯克质问Figure 03 Figure 03做家务的视频引发关注，马斯克公开追问是否有人远程操控。Figure创始人回应“完全自主”，但这并不等于机器人已经具备通用家庭服务能力。 \#Figure03 \#人形机器人 \#马斯克 \#具身智能 \#科技一分钟 \#FC200 \#系留系统" - 科技一分钟 @yunlan369 马斯克质问Figure 03 Figure 03做家务的视频引发关注，马斯克公开追问是否有人远程操控。Figure创始人回应“完全自主”，但这并不等于机器人已经具备通用家庭服务能力。 #Figure03 #人形机器人 #马斯克 #具身智能 #科技一分钟 #FC200 #系留系统 00:00 View media 9:41 PM · Aug 31, 20262Views Reply Scan to get the app
9:40 PM ET
ZHZhipu
9:40 PM ETZHZhipu
tphuang on X: "GLM-6 disclosed - more parameter & lower activation ratio & inference cost & improved post training expected. Model to make self training decisions
Expecting significant increased domestic compute addition in next 3 to 6 months. Using self owned, leased & purchased c… / X
Post Log in Sign up Post tphuang on X: "GLM-6 disclosed - more parameter & lower activation ratio & inference cost & improved post training expected. Model to make self training decisions Expecting significant increased domestic compute addition in next 3 to 6 months. Using self owned, leased & purchased compute." - tphuang @tphuang Sep 1 Regardless of how Zhipu employees view AGI internally, it publicly follows the OpenAI/Ant line of scaling RSI & Autonomous AI as the future. AI path according to Zhipu: Chat -> Coding -> Co-Work -> Autonomous Larger TAM @ each step w/ last…
9:40 PM ET
ZHZhipu
9:40 PM ETZHZhipu
tphuang on X: "How it views its own models in terms of the kind of tasks them can do. GLM-5.3 in terms of long time horizon work is still short of 1 wk, need at least 1 month to be autonomous.
Flash is the 1st one to use domestic chips & have low cost + intelligence to support long tasks." / X
Post Log in Sign up Post tphuang on X: "How it views its own models in terms of the kind of tasks them can do. GLM-5.3 in terms of long time horizon work is still short of 1 wk, need at least 1 month to be autonomous. Flash is the 1st one to use domestic chips & have low cost + intelligence to support long tasks." - tphuang @tphuang Sep 1 Regardless of how Zhipu employees view AGI internally, it publicly follows the OpenAI/Ant line of scaling RSI & Autonomous AI as the future. AI path according to Zhipu: Chat -> Coding -> Co-Work -> Autonomous Larger TAM @ each step w/ last step having…
9:19 PM ET
Tesla
$TSLA
9:19 PM ETTesla
📐_Cyber_Owl_🦉 on X: "🚨Golden Fleet Alert🚨
Golden Tesla Cybercabs have taken over the city and are flooding Austin 🌊✨
They are constantly validating pick-ups and drop offs ahead of the Cybercab launch event on 09/03 🤖🚕
Can’t wait for the most futuristic Robotaxis ever 👏
@robotaxi @Tesla @… / X
Post Log in Sign up Post 📐\Cyber\Owl\🦉 on X: "🚨Golden Fleet Alert🚨 Golden Tesla Cybercabs have taken over the city and are flooding Austin 🌊✨ They are constantly validating pick-ups and drop offs ahead of the Cybercab launch event on 09/03 🤖🚕 Can’t wait for the most futuristic Robotaxis ever 👏 @robotaxi @Tesla @Tesla\AI @elonmusk" - 📐\Cyber\Owl\🦉 @RimaSukhadia 🚨Golden Fleet Alert🚨 Golden Tesla Cybercabs have taken over the city and are flooding Austin 🌊✨ They are constantly validating pick-ups and drop offs ahead of the Cybercab launch event on 09/03 🤖🚕 Can’t wait for the most…
8:54 PM ET
HYHyper3D
8:54 PM ETHYHyper3D
@ErenChenAI on X
Shanghai-based 3D generative AI company Hyper3D has introduced WorldGen, a world generation model that turns a single image into a complete, editable 3D scene. Built on its SIGGRAPH 2025 Best Paper-winning CAST research, WorldGen reconstructs individual objects along with their spatial relationships and physical properties, including collision, mass and friction. The generated scenes can be used in existing 3D workflows, with applications ranging from game development and XR to robotics simulation and embodied AI training.
8:36 PM ET
Skild AI
8:36 PM ETSkild AI
The Robot Report: Skild AI unveils S1 robot foundation model | AI Understanding
Back to News ProductAI Understanding briefing The Robot Report: Skild AI unveils S1 robot foundation model The Robot Report reports that Skild AI unveiled S1, a robot foundation model that the company says can learn complex tasks from a single human demonstration video and operate across multiple robot forms. By AI Understanding EditorialSeptember 1, 2026 at 12:36 AM UTCUpdatedSeptember 1, 2026 at 1:47 AM UTC6 min read Read the primary source The short version The Robot Report reports that Skild AI unveiled S1, a robot foundation model that the company says can learn complex tasks from a…
8:00 PM ET
Andra Keay
8:00 PM ETAndra Keay
Learning about robots from science fiction - by Andra Keay
Robots & Startups Interesting things about robots, robot startups, and the future that's already here. From the epicenter of the robot revolution - Silicon Valley Robotics. By Andra Keay · Over 10,000 subscribers Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Not right now thanks “Andra Keay does a lot of work describing how the development of robotics will shape our future. Her weekly posts are detailed and meticulously written.”...” “Andra Keay does a lot of work describing how the development of robotics…
8:00 PM ET
Google
$GOOGL
8:00 PM ETGoogle
Introducing Agentic Video in Gemini
Introducing agentic video understanding with Gemini Sep 01, 2026 \| 7 min read - x.com - Facebook - LinkedIn - Mail - Copy link Our new agentic feature for video analysis cuts token consumption by up to 88%, reduces costs by up to 66%, and boosts quality by up to 7%. Rohan Doshi Senior Product Manager, Google DeepMind Mario Lučić Research Director, Google DeepMind Share - x.com - Facebook - LinkedIn - Mail - Copy link Your browser does not support the audio element. Listen to article \[\[duration\]\] minutes This content is generated by Google AI. Generative AI is experimental…
6:19 PM ET
PAPerceptron AI
6:19 PM ETPAPerceptron AI
@techniahqrobot on X
A 36B parameter model just blurred one of robotics’ biggest boundaries, the gap between seeing a scene and acting on it. Perceptron AI has released Isaac 0.5, an open-weight Embodied AI model designed to use one backbone to understand video, reason about a physical task, and generate robot actions. One model connecting perception, reasoning, and robot control. @perceptroninc
5:45 PM ET
Nvidia
$NVDA
5:45 PM ETNvidia
@a16z on X
Gavin Baker says the future for the world's biggest companies is open models and private context: "I think the future is an ensemble of models. There's a Pareto curve. No one model is going to be the best at everything." "For the global 1,000 biggest companies, you're going to take whatever the best open-source model is. I think probably in the very near future, that's going to be an Nvidia model." "Everybody says 'Well, in a world where open-source wins, who funds the training?' Chip companies can fund the training." "It's trivial to do a $50 to $100 billion training run for Jensen, but I do…
5:21 PM ET
@pstAsiatech
5:21 PM ET@pstAsiatech
国家发改委：加速具身智能在制造、医疗等领域真实场景中落地应用_财经上下游_澎湃新闻-The Paper
Seven ports are used to connect other NPUs on the same tray over flyover cables. Seven ports connect across trays in the intra-rack 2D mesh over the backplane allowing each NPU0 to connect to all the other corresponding NPU0 within the rack. This leaves the remaining 4 ports to connect to a network of low-radix-switches in the backplane for further intra-rack connectivity. (2/4)
5:00 PM ET
SCSchaeffler
5:00 PM ETSCSchaeffler
The hardest problem in physical AI may be the magnet, not the model
Skip to content AI Learning and Artificial Intelligence Credit: Canva Actuators account for 40% to 60% of a humanoid robot’s bill of materials and China refines roughly 90% of the rare earth magnets inside them, which makes the components rather than the models the limit on scale. Europe has a 2030 cap on single country supply under the Critical Raw Materials Act, and one company, Schaeffler, building the actuators at volume. The hardest problem in physical AI is not the AI. Actuators are in short supply from a small pool of qualified manufacturers, and new capacity takes years, not quarters,…
5:00 PM ET
TUThe University of Hong Kong
5:00 PM ETTUThe University of Hong Kong
The Imitator Game — Benchmarking Robot Imitative Ability Beyond Action Prediction
Intent imitation, L0-L320,000+ paired episodesHuman evaluation Arena The Imitator Game BenchmarkingRobotImitativeAbilityBeyondActionPrediction Xunzhe Zhou 1,2,\,† · Yiyang Cai 2,3,\ · Fengyi Wang 2,3,\ · Ran Ju 1,2,\ · Hanxiang Ren 2,4 · Ruizhe Liu 1 Yu Zhang 1 · Qian Luo 1,2 · Feng Chen 1 · Pei Zhou 1,2 · Yi Ma 1,2 · Yanchao Yang 1,2,‡ 1The University of Hong Kong · 2TranscEngram · 3Fudan University · 4Zhejiang University \\ Equal contribution · † Project lead · ‡ Corresponding author Can a robot imitate what a human intends — not just what they do? We widen the gap between the demonstration…
2:33 PM ET
Figure
2:33 PM ETFigure
@Astra1Byte on X
Four years ago, Figure didn’t have a robot. Today it’s valued at $39B and has already shipped 1,000+ humanoids. CEO Brett Adcock says the real advantage isn’t the AI it’s that hardware, models, and manufacturing all sit under one roof, one campus, no outsourcing. Robots already deployed at BMW. Production line running. The question nobody’s asking loud enough: when the entire stack brain, body, and factory belongs to one company, how fast can this actually scale once the failure rate drops?
2:01 PM ET
NVIDIA
$NVDA
2:01 PM ETNVIDIA
NVIDIA's robot business is already worth $10 billion/year, and China is its best customer | HumanoidHub
News/ trends,china,usa,physical\ai,hardware,government trends,china,usa,physical\ai,hardware,government NVIDIA's robot business is already worth $10 billion/year, and China is its best customer John KoetsierAugust 31, 2026 NVIDIA's physical AI business is already generating roughly $10 billion a year, more than the entire humanoid robot industry combined, with Jensen Huang pointing to a tenfold path over the next decade. A meaningful share of that comes from China, which built about 90% of the world's humanoids last year. But Beijing is racing to build a domestic stack ... Talk about picks…
1:48 PM ET
ANAnthropic
1:48 PM ETANAnthropic
Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization - Humanoid Analytics
Close Menu - Companies - Company Tracker - Deployment Tracker - Funding Tracker - Deployments - Technology - Funding - Markets - Our Services X (Twitter) Mastodon LinkedIn Switch to Dark Design - easier on eyes.Switch to Light Design. Search Switch to Dark Design - easier on eyes.Switch to Light Design. Search Technology Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization The physical world will remain unpredictable, but common machine-readable contracts for sensors, actuators, state and safety could reduce the integration burden facing general-purpose…
1:48 PM ET
ANAnthropic
1:48 PM ETANAnthropic
Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization - Humanoid Analytics
Close Menu - Companies - Company Tracker - Deployment Tracker - Funding Tracker - Deployments - Technology - Funding - Markets - Our Services X (Twitter) Mastodon LinkedIn Switch to Dark Design - easier on eyes.Switch to Light Design. Search Switch to Dark Design - easier on eyes.Switch to Light Design. Search Technology Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization The physical world will remain unpredictable, but common machine-readable contracts for sensors, actuators, state and safety could reduce the integration burden facing general-purpose…
1:39 PM ET
@NVIDIARobotics
1:39 PM ET@NVIDIARobotics
Optimize Models with Unsloth | Jetson AI Lab
🎉 Welcome to Jetson AI Lab 2.0! We've redesigned the site with curated tutorials. Looking for old content? Browse the archive → × Back to Tutorials Optimize Models with Unsloth Fine-tune, convert and deploy language models on NVIDIA Jetson with Unsloth and llama.cpp. Author Aditya Sahu Fine-tune and deploy language models directly on NVIDIA Jetson with Unsloth and JetPack 7.2. This tutorial uses memory-efficient QLoRA, exports the results to GGUF, and runs them locally. Two practical examples cover Qwen3.5-4B on Jetson Orin Nano and NVIDIA Nemotron 3.5 Lightning 30B-A3B on Jetson AGX Thor.…
1:21 PM ET
Unitree
1:21 PM ETUnitree
@techniahqrobot on X
Unitree just started Olly’s pre-employment internship in the real world 😅 And day one already looks like a proper probation period. It can answer train questions, find exits and walk with passengers inside Singapore’s Little India MRT, but station noise already caused it to mishear Tekka Centre as Teacher’s Centre and give the wrong directions. A useful reminder that real-world deployment is much harder . Source: CNA / Land Transport Authority Singapore
1:19 PM ET
SMSMRT
1:19 PM ETSMSMRT
@fieldai_ on X
A FieldAI-powered robot, pictured with Singapore's Minister for Transport Jeffrey Siow at @SMRT_Singapore's Gali Batu Bus Depot. It patrols autonomously with infrared sensing, checking buses and EV charging bays for abnormal heat so the safety team gets an early warning instead of an incident. Congratulations to SMRT on the launch of their new Mobility Command and Control Centre.
I think the Unitree IPO was obviously overhyped (well, except to whoever bought it at $60B). It’s down to a more manageable ~$30B now, which is still extremely pricey. I wonder what this means for the eventual trading of @AGIBOTofficial, which should be next in line for an IPO. (If the volatility is extreme or the growth disappoints, I think the IPO will be delayed, frankly.) Unlike Unitree, which has major gaps, particularly in software, Agibot was conceived from the beginning as a full-stack robotics company. And despite deliberately not specializing, it has been surprisingly strong across…
12:41 PM ET
TEtechnia
12:41 PM ETTEtechnia
@techniahqrobot on X
Humanoid robotics has its own language. Here are 30 acronyms you will see constantly API = Application Programming Interface BC = Behavior Cloning CoM = Center of Mass CoP = Center of Pressure DoF = Degrees of Freedom DRL = Deep Reinforcement Learning F/T = Force/Torque FK = Forward Kinematics GRF = Ground Reaction Force HIL = Hardware-in-the-Loop HRC = Human-Robot Collaboration HRI = Human-Robot Interaction IK = Inverse Kinematics IL = Imitation Learning IMU = Inertial Measurement Unit LiDAR = Light Detection and Ranging LLM = Large Language Model MPC = Model Predictive Control RGB-D = RGB +…
12:35 PM ET
UNUnitreeRobotics
12:35 PM ETUNUnitreeRobotics
@thehypedotnews on X
unitree robots now build themselves – and train while doing it @UnitreeRobotics deployed its embodied ai model inside its own factory in china. the robots aren't repeating pre-programmed movements – they perceive the environment, understand the task and perform real manufacturing operations on the production line. this isn't just production, it's also a data engine – every task the robots perform on the line generates real-world motion data that trains the next generation of models. the factory is both the product and the training ground. unitree shipped 5,500 humanoid robots in 2025 – more…
12:31 PM ET
RURunway
12:31 PM ETRURunway
Runway on X: "Today, we're sharing new research on Solaris, our first Interface World Model.
Solaris is a new kind of operating system that generates interactive interfaces frame by frame, in real time, with no code. We find that Solaris outperforms frontier LLMs when generating new interfaces, ac… / X
Post Log in Sign up Post Runway on X: "Today, we're sharing new research on Solaris, our first Interface World Model. Solaris is a new kind of operating system that generates interactive interfaces frame by frame, in real time, with no code. We find that Solaris outperforms frontier LLMs when generating new interfaces, across structural similarity and information retention. Read more and request early access at the link below." - Runway @runwayml Today, we're sharing new research on Solaris, our first Interface World Model. Solaris is a new kind of operating system that generates interactive…
12:22 PM ET
@0xconglomerate
12:22 PM ET@0xconglomerate
@0xconglomerate on X
@LeggedRobot @ROBOTIS Looking forward to the next update! Hehe would be fun to have a Mini Pupper that I could play with and make content on, eh? 😅👀
12:05 PM ET
Fourier Intelligence
12:05 PM ETFourier Intelligence
@rich_odinn on X
SoftBank dropped $200,000,000 on this company - and this 15-second interaction proves why Shanghai-based Fourier Intelligence deployed their $125,000 GR-1 humanoid onto public transit to assist an elderly citizen. This isn't CGI, it's live physical AI targeting a massive eldercare crisis. 3 high-octane truths behind this clip: Sub-Gram Force Feedback: Supporting a fragile arm without injury requires real-time tactile compliance, recalculating grip pressure millions of times per second. SoftBank & Aramco Backed: Fourier raised over $200M to build autonomous care-bots before global birth rates…
11:32 AM ET
@frontrunvc
11:32 AM ET@frontrunvc
@frontrunvc on X
EARLY: 5 @ycombinator fall cohort companies across Compute, Energy, Hardware and DevTools. 👇 @nodussss - 1 follower - (Compute): the first intelligent execution layer for ai workloads. founders: @viswa_kotra @pvarshh @runmirrors - 17 followers - (DevTools): staging environments for ai agents. replay real sessions to catch regressions before they ship. founder: @ai_singhal @invertixlabs - 33 followers - (Energy): building energy superintelligence. ai that operates and scales energy infrastructure. founder: @Josephperrotta_ @visiblsemi - 79 followers - (Hardware): a faster path to custom…
10:10 AM ET
@Thom_Wolf
10:10 AM ET@Thom_Wolf
@Thom_Wolf on X
People don't realize it, but even with only 1 GB of RAM, the memory alone is already 10–15% of Microduck's total price. Crazy when you consider there are 15 actuators in the robot.
9:25 AM ET
VAVeeda AI
9:25 AM ETVAVeeda AI
Veeda AI Raises $90M Seed to Build "The Matrix" for Physical AI - WOWTALE
Skip to content - AI - · - Funding - · - Robotics Veeda AI Raises $90M Seed to Build “The Matrix” for Physical AI 8/31/2026 ・ 버섯돌이(Taehyun Kim) Training a robot to master a new motion takes thousands of trial-and-error attempts. The trouble is doing that training in the real world at all — robotic hardware doesn’t scale like compute, a single bad move can cause real physical harm, and real-world experience can’t be compressed or run in parallel. A startup betting it can solve that bottleneck with simulation just closed one of the largest seed rounds a Canadian company has ever raised.…
9:25 AM ET
VAVeeda AI
9:25 AM ETVAVeeda AI
Veeda AI Raises $90M Seed to Build "The Matrix" for Physical AI - WOWTALE
Skip to content - AI - · - Funding - · - Robotics Veeda AI Raises $90M Seed to Build “The Matrix” for Physical AI 8/31/2026 ・ 버섯돌이(Taehyun Kim) Training a robot to master a new motion takes thousands of trial-and-error attempts. The trouble is doing that training in the real world at all — robotic hardware doesn’t scale like compute, a single bad move can cause real physical harm, and real-world experience can’t be compressed or run in parallel. A startup betting it can solve that bottleneck with simulation just closed one of the largest seed rounds a Canadian company has ever raised.…
Skip to content You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert {{ message }} Uh oh! There was an error while loading. Please reload this page. hku-sail/ StreamPI Public - Notifications You must be signed in to change notification settings - Fork\\ 4 - Star\\ 161 main 1 Branch 0 Tags Go to Branches pageGo to Tags page Go to file Code Open more actions menu Latest commit happinesslz add multi-node training…
8:57 AM ET
MRMilk Road Pro
8:57 AM ETMRMilk Road Pro
@MelvinInvests on X
The next memory supercycle is hiding inside humanoid robots (Save this). This chart estimates that each humanoid robot could contain $600–$800 or more in memory related and semiconductor components, including DRAM, HBM, NAND flash, sensors, communication chips, and other devices. If manufacturers eventually produce 1 million humanoid robots, that could represent approximately $600 million–$800 million in memory content, while 10 million robots could create a $6 billion–$8 billion opportunity. However, the larger opportunity may come from the data centers that train these robots and process…
8:34 AM ET
VIVisiveAI
8:34 AM ETVIVisiveAI
VisiveAI on X: "One brain. For any robot. 🤖 We’re launching Gemini Robotics 2: our next-generation physical AI bringing full body intelligence...
via @GoogleDeepMind
#AI #LLM #MachineLearning #ChatGPT #GenerativeAI" / X
Post Log in Sign up Post VisiveAI on X: "One brain. For any robot. 🤖 We’re launching Gemini Robotics 2: our next-generation physical AI bringing full body intelligence... via @GoogleDeepMind \#AI \#LLM \#MachineLearning \#ChatGPT \#GenerativeAI" - VisiveAI @VisiveAI One brain. For any robot. 🤖 We’re launching Gemini Robotics 2: our next-generation physical AI bringing full body intelligence... via @GoogleDeepMind #AI #LLM #MachineLearning #ChatGPT #GenerativeAI 00:00 View media 8:34 AM · Aug 31, 202650Views Reply Scan to get the app
8:24 AM ET
Figure
8:24 AM ETFigure
Biti8 on X: "Four years ago, @Figure_robot didn’t even have a robot.
Today, it’s valued at $39B, has built 1,000+ humanoids, deployed robots at BMW, built its own AI models, manufacturing infrastructure and a global data collection network.
What impresses me most is the speed.
Figure isn’t build… / X
Post Log in Sign up Post Biti8 on X: "Four years ago, @Figure\robot didn’t even have a robot. Today, it’s valued at $39B, has built 1,000+ humanoids, deployed robots at BMW, built its own AI models, manufacturing infrastructure and a global data collection network. What impresses me most is the speed. Figure isn’t building just a robot. It’s building the entire stack at the same time: hardware, AI, data, factories and real-world deployments. And now Figure 04 is already on the way. Four years later, much of the humanoid industry is being measured against what @adcock\brett and the Figure team…
8:02 AM ET
Agility Robotics
8:02 AM ETAgility Robotics
Oregon robotics company says the industry needs a reality check: ‘I really want to pop that bubble’ - oregonlive.com
Skip to Article The $1 Sale is Here! Labor Day Savings End on 9/9/26 Close By - Mike Rogoway \| The Oregonian/OregonLive The internet is full of videos of robots running races, doing backflips, dancing and playing soccer. Doing real work, though? Jonathan Hurst says that’s harder than it looks. He’s co-founder of Agility Robotics, the Salem company that makes Digit — the rare humanoid robot with an actual job. Standing 5 feet, 9 inches tall, Digit works in warehouses and factories, lifting and stacking heavy boxes. The oregonlive.com logo A subscription is required to read this story.…
7:05 AM ET
Boston Dynamics
7:05 AM ETBoston Dynamics
@clavion95 on X
THIS ISN’T A ROBOT LEARNING TO DANCE. IT’S A ROBOT LEARNING HOW TO CONTROL ITS ENTIRE BODY. Walk. Run. Crawl. Roll. Handstand. Cartwheel. Then get back up and keep moving. Boston Dynamics trained Atlas using reinforcement learning, with human motion capture and animation as references. The flashy part is the acrobatics. That’s not the important part. The important part is everything happening between them. Accelerate. Decelerate. Shift balance. Drop to the floor. Recover from an awkward position. Reorient the body. Keep moving. Humans solve these problems without thinking. For a humanoid,…
6:51 AM ET
@ParadisLabs
6:51 AM ET@ParadisLabs
@ParadisLabs on X
Bro...this GS humanoid report is mega bullish for semis. - Humanoid TAM forecast increased by ~5x. - Which is an even better commercial opportunity for semis / precision components such as power semis and memory. One interesting takeaway from the report is that there are stricter energy efficiency requirements incoming. In turn, these requirements will increase the density for higher priced GaN/SiC components. The sheer length of the physical AI cycle (including humanoids) will surely be a massive growth driver for semis on top of data center applications...
5:11 AM ET
Figure
5:11 AM ETFigure
JD.com, Inc.
Authentic Products Delivered Today \\ AI-Powered, ESG-Embedded Industrial Supply Chain Innovation Earns JINGDONG Industrials 2026 Sedex Technoical Innovation Award \\ \\ BEIJING, 27 August 2026 — JINGDONG Industrials, a leading industrial supply chain technology and service provider under JD.com, has won the Technical Innovation Award among the 2026 Sedex Supply Chain Awards, recognising its use of AI and technical solutions to embed ESG capabilities into industrial supply chain operations. The company was also nominated for the Social Impact Award. JINGDONG Industrials was the only…
5:05 AM ET
ARAxis Robotics
5:05 AM ETARAxis Robotics
@GabrielnSpace on X
i thought community robot data would hit diminishing returns fast but Axis Dataset V1 just made that take look stupid @axisrobotics pushed π0.5 from 83.9% to 88.8% on LIBERO Plus, and performance kept climbing as training data scaled from 25% to 100% with no obvious saturation 3m trajectories later the crowd is starting to look less like users and more like a distributed robotics lab #PhysicalAI
4:00 AM ET
Figure
4:00 AM ETFigure
How Figure Became the Biggest Name in Robotics | XMAQUINA DAO
Genesis Auction Wave 2! Launches June 24 Get DEUS homeDAO Portal How Figure Became the Biggest Name in Robotics Color theme: Four years, three generations of humanoids, a $39 billion valuation and now one of the largest physical AI data engines ever built. .png) August 27, 2026 Category: Physical AI Read time: 9 minutes Share This: Four years ago, Figure didn’t have a robot. Today, the company is valued at $39 billion, has built more than 1,000 humanoids, has robots working inside BMW, is preparing deployments with another major US retailer, and has developed its own AI models, manufacturing…
3:51 AM ET
Physical Intelligence
3:51 AM ETPhysical Intelligence
[2604.15483] $π_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
Skip to main content Search arXiv Press Enter to search · Advanced search Computer Science > Machine Learning arXiv:2604.15483 (cs) \Submitted on 16 Apr 2026 ( [v1), last revised 24 Apr 2026 (this version, v2)\] Title:π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities Authors: Physical Intelligence, Bo Ai, Ali Amin, Raichelle Aniceto, Ashwin Balakrishna, Greg Balke, Kevin Black, George Bokinsky, Shihao Cao, Thomas Charbonnier, Vedant Choudhary, Foster Collins, Ken Conley, Grace Connors, James Darpinian, Karan Dhabalia, Maitrayee Dhaka, Jared DiCarlo, Danny…
2:53 AM ET
XPXPeng
2:53 AM ETXPXPeng
@Tanminhday on X
🤖 Something is changing in Physical AI. For years, humanoid robots were mostly about impressive demos. This week feels different. $900M+ raised by XPeng’s robotics business. Figure committing over $1B to data and compute. Hyundai preparing large-scale robot manufacturing in the U.S. Agility’s Digit already accumulating 65,000+ hours of real-world operation. And new data engines are emerging to feed the next generation of physical intelligence. The important part isn’t any single announcement. It’s the direction. Robots are moving from prototypes → products → infrastructure. And once…
2:31 AM ET
MGMinth Group
2:31 AM ETMGMinth Group
Minth Group Launches Europe’s First Mass Production of Humanoid Robots
VESTI Poslednje vesti Jiangsu Reliance Energy Tech: 100,5 miliona ... Aug 31, 2026 Minth Group pokrenuo prvu serijsku ... Aug 29, 2026 RAS: Snažnija ekonomska saradnja ... Aug 26, 2026 Otvoren Javni poziv za srpske ... Aug 10, 2026 Investiciona misija u Šandongu i ... Jul 16, 2026 Srpske IT kompanije ostvarile zapaž... Jul 07, 2026 Novi poslovni kontakti za srpske ... Jun 30, 2026 Mentori iz cele Srbije okupili ... Jun 25, 2026 Minth Group Launches Europe’s First Mass Production of Humanoid Robots Aug 29, 2026 Šabac to become a European production base for mass-produced humanoid robots…
12:25 AM ET
SASanctuary AI
12:25 AM ETSASanctuary AI
Physical AI Platform | Industrial Automation Solutions | Sanctuary AI
We value your privacy We use cookies to enhance your browsing experience, serve personalised ads or content, and analyse our traffic. By clicking "Accept All", you consent to our use of cookies. CustomiseReject AllAccept All Customise Consent Preferences We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below. The cookies that are categorised as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... Show more…
11:59 PM ET
Boston Dynamics
11:59 PM ETBoston Dynamics
Deepnewsai on X: "Atlas just carried a loaded refrigerator.
Boston Dynamics’ humanoid robot uses real-time AI control to balance, adjust its posture, and handle heavy loads.
Source: X/BostonDynamics
Follow @deepnewsai for more AI updates.
#PhysicalAI #Robotics #Humanoid #AI" / X
Post Log in Sign up Post Deepnewsai on X: "Atlas just carried a loaded refrigerator. Boston Dynamics’ humanoid robot uses real-time AI control to balance, adjust its posture, and handle heavy loads. Source: X/BostonDynamics Follow @deepnewsai for more AI updates. \#PhysicalAI \#Robotics \#Humanoid \#AI" - Deepnewsai @deepnewsai Atlas just carried a loaded refrigerator. Boston Dynamics’ humanoid robot uses real-time AI control to balance, adjust its posture, and handle heavy loads. Source: X/BostonDynamics Follow @deepnewsai for more AI updates. #PhysicalAI #Robotics #Humanoid #AI 00:00 View…
8:00 PM ET
Google
$GOOGL
8:00 PM ETGoogle
Gemini Robotics ER 1.6 shutdown date Aug 31, 2026; replacement ER 2
Google Developers Gemini API deprecations page, Robotics models table (page last updated 2026-08-27 UTC; shutdown date in the table is in-window): gemini-robotics-er-1.6-preview released April 14, 2026, shutdown date August 31, 2026, recommended replacement gemini-robotics-er-2-preview. Older gemini-robotics-er-1.5-preview listed shutdown April 30, 2026. Companion overview (ai.google.dev/gemini-api/docs/robotics-overview, scraped Sep 1) says upgrade by replacing model='gemini-robotics-er-1.6-preview' with gemini-robotics-er-2-preview or gemini-robotics-er-2-streaming-preview; ER 1.6 'will be shut down at the end of August.' Pricing page (same scrape): ER 2 Preview paid $2.00 input / $10.00 output per 1M tokens (text/image/video/audio); batch $1.00 / $5.00; ER 2 Streaming $2.00 / $10.00; ER 1.6 Preview $1.00 input ($2.00 audio) / $5.00 output. This is an API lifecycle event, not a factory-hours print. Gemini Robotics 2 VLA launch itself was July 30, 2026 (Hassabis) — outside.
8:00 PM ET
Skild AI
8:00 PM ETSkild AI
Skild AI unveils S1 robot foundation model; ~$1.7B raised
Brianna Wessling / The Robot Report (Firecrawl dated ~5 hours before Aug 31 evening): Skild AI unveiled S1, flagship robot foundation model. Company founded 2023 has raised nearly $1.7 billion. CEO Deepak Pathak: model uses in-context learning — add a video of a human doing a task in the prompt and the robot can follow; tasks shown are long-horizon, not 3-4 second demos; targeting tasks up to 10 minutes (repotting, coffee, pancakes). Omni-bodied (quadruped, humanoid, static arm); humanoid scale still pending. Pathak: coming weeks will show S1 helping in production; Fetch Robotics asset acquisition (from Zebra) is about deployment talent. Does not claim a ChatGPT moment yet.
7:11 PM ET
SCSequoia Capital
7:11 PM ETSCSequoia Capital
@davidcao01 on X
Fifteen years after "software is eating the world," Marc Andreessen's own firm just admitted atoms are eating software's margins. SUMMARY This is not an a16z story. a16z's $1.1B Machine Age Fund is simply the loudest confirmation yet of a rotation already underway across Silicon Valley's largest pools of capital — Sequoia Capital , Lightspeed , General Catalyst , and SoftBank have all made comparable moves in 2026. Global venture funding into physical AI hit $47.4B across 521 deals in H1 2026 — nearly 4x the prior half. For builders and investors in robotics, autonomous systems, and…
7:11 PM ET
Skild AI
7:11 PM ETSkild AI
@Robot_AIsignals on X
Show it once. That is the entire instruction. In a post published in August, Skild AI introduced S1, a robotics foundation model prompted with a video demonstration in place of a written command. The company says the same frozen weights then performed four tasks absent from its pre-training — potting a plant, cooking pancakes, brewing pour-over coffee, assembling a kit. Skild builds Skild Brain, which it calls the first unified robotics foundation model to generalise across both tasks and robot hardware. It raised $1.4bn in January at a valuation the company puts above $14 billion (company…
4:06 PM ET
Figure
4:06 PM ETFigure
@Robot_AIsignals on X
The robot industry's data shortage just became a gig job. On 25 August Figure launched Index, an app that pays people by the minute to film themselves doing ordinary household and workplace tasks. That footage trains Helix, the AI stack running its humanoid. Figure builds the Figure 03 humanoid and the Helix system inside it, and says its Series C exceeded $1B at a $39 billion post-money valuation (company claim). Figure says Index has taken 16 million uploads from 108 countries, ingests roughly 30 minutes of footage every second, carries 44,000+ weekly active contributors and has paid out…
1:18 PM ET
CRClone Robotics
1:18 PM ETCRClone Robotics
VisiveAI on X: "Clone Unveils First Bimanual Torso with Fully Actuated Human-Like Upper Body
via @clonerobotics
#AI #Robotics #HumanoidRobots #PhysicalAI #Innovation" / X
Post Log in Sign up Post VisiveAI on X: "Clone Unveils First Bimanual Torso with Fully Actuated Human-Like Upper Body via @clonerobotics \#AI \#Robotics \#HumanoidRobots \#PhysicalAI \#Innovation" - VisiveAI @VisiveAI Clone Unveils First Bimanual Torso with Fully Actuated Human-Like Upper Body via @clonerobotics #AI #Robotics #HumanoidRobots #PhysicalAI #Innovation 00:00 View media 1:18 PM · Aug 30, 202663Views Reply
1:00 PM ET
GAGalbotRobotics
1:00 PM ETGAGalbotRobotics
@ctorobotics on X
Humanoid robots just took tennis to another level. 🎾🤖 Galbot robots completed 100+ consecutive rallies at the World Humanoid Robot Games 2026 while tracking the ball, moving around the court and responding in real time. This is not just about hitting a tennis ball. It combines vision, prediction, balance, whole-body control and real-time decision making. Would you play against a humanoid robot? 👀 🎥 Media: @GalbotRobotics ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the…
12:10 PM ET
Tesla
$TSLA
12:10 PM ETTesla
kasper on X: "Elon Musk was asked when Tesla Optimus could become better than the best human surgeons.
His argument is that a robot would not learn like one doctor. Every Optimus surgeon could share what every other unit had seen, including rare complications that a human might encounter only once… / X
Post Log in Sign up Post kasper on X: "Elon Musk was asked when Tesla Optimus could become better than the best human surgeons. His argument is that a robot would not learn like one doctor. Every Optimus surgeon could share what every other unit had seen, including rare complications that a human might encounter only once in an entire career. That could make expert care available in places where finding a specialist is difficult or impossible. It also raises a question almost everyone can understand. When your life is on the line, do you trust the experienced human standing beside you, or the…
11:33 AM ET
@GoingBallistic5
11:33 AM ET@GoingBallistic5
@GoingBallistic5 on X
Eric gets the essence of the challenge Any remote controlled humanoid today could muddle through most or all the events, albeit with low scores But if asked to do it completely autonomously with the same degree of independence and responsibility of a young athlete most would fail It’s measuring the whole stack to gauge fitness to enter society or the labor force
10:05 AM ET
VIVisiveAI
10:05 AM ETVIVisiveAI
VisiveAI on X: "Teamwork makes the dream work. To test multi-robot collaboration with Gemini Robotics 2, we challenged our Apollo and Duo robo...
via @GoogleDeepMind
#AI #LLM #MachineLearning #ChatGPT #GenerativeAI" / X
Post Log in Sign up Post VisiveAI on X: "Teamwork makes the dream work. To test multi-robot collaboration with Gemini Robotics 2, we challenged our Apollo and Duo robo... via @GoogleDeepMind \#AI \#LLM \#MachineLearning \#ChatGPT \#GenerativeAI" - VisiveAI @VisiveAI Teamwork makes the dream work. To test multi-robot collaboration with Gemini Robotics 2, we challenged our Apollo and Duo robo... via @GoogleDeepMind #AI #LLM #MachineLearning #ChatGPT #GenerativeAI 00:00 View media 10:05 AM · Aug 30, 202646Views Reply Scan to get the app
8:06 AM ET
VIVisiveAI
8:06 AM ETVIVisiveAI
VisiveAI on X: "Welcome to Robot Park, where we’re building the future with Apollo 2. Robot Park is where Apollo learns today, getting the expe...
via @Apptronik
#AI #Robotics #HumanoidRobots #PhysicalAI #Innovation" / X
Post Log in Sign up Post VisiveAI on X: "Welcome to Robot Park, where we’re building the future with Apollo 2. Robot Park is where Apollo learns today, getting the expe... via @Apptronik \#AI \#Robotics \#HumanoidRobots \#PhysicalAI \#Innovation" - VisiveAI @VisiveAI Welcome to Robot Park, where we’re building the future with Apollo 2. Robot Park is where Apollo learns today, getting the expe... via @Apptronik #AI #Robotics #HumanoidRobots #PhysicalAI #Innovation View media 8:06 AM · Aug 30, 2026188Views Reply 1 2 Scan to get the app
7:01 AM ET
SASanctuary AI
7:01 AM ETSASanctuary AI
Sanctuary AI puts humanoid tech on industrial robots
Skip to content Sanctuary AI has deployed technology developed alongside its Phoenix humanoid on an industrial wire insertion task, reporting a success rate above 99.5% and a 2.54 second cycle time. The trial used robotic hands rather than a complete humanoid to insert flexible wired plugs into moving targets on a live conveyor at a global Tier 1 automotive supplier. The result came from 313 insertion trials conducted over 40 minutes, CEO Daniel Friedmann told Forbes. Sanctuary calculated the success rate by comparing successful and unsuccessful insertions. Friedmann said the cycle time was…
8:00 PM ET
Figure
8:00 PM ETFigure
Figure Index + BMW hours: 1,250 factory hours; Index 16M videos / $15M paid
Luke Lango / InvestorPlace (dated Aug 2026; Firecrawl news dated it ~1 day before Aug 31): Cites JPMorgan: humanoid operating cost ~$10-$12/hour vs ~$30 human factory labor; currently ~2 humanoids to match one human; capable humanoid ~$120,000. BMW Spartanburg: over a 10-month deployment Figure 02 supported production of more than 30,000 BMW X3 vehicles, moved over 90,000 components, logged roughly 1,250 hours of real factory work. BMW has brought Figure 03 into the same plant for kitting unsorted components. Figure Index: contributors in >100 countries uploaded over 16 million videos; Figure paid contributors $15 million and says it plans to spend more than $1 billion on data and computing over the next year (company-reported). Hyundai: as many as 30,000 Boston Dynamics Atlas robots annually by 2028. Names Apptronik, Agility, 1X as competing private startups.
6:18 PM ET
Tesla
$TSLA
6:18 PM ETTesla
@davidcao01 on X
The Supply Chain Shortage for UxV and Robots: Who Is Filling the Gap? Top 20 Components to Watch | New suppliers from Mexico, Taiwan, Japan, Korean | The VC and Entrepreneurs Angle Two weeks apart, two separate US policy actions closed off the low-cost path into American drone and robotics hardware. July 28, the FCC added foreign-made "advanced robotic devices" — humanoids, quadrupeds — to its Covered List, blocking new authorizations. August 13, the White House used Section 232 to impose tariffs of up to 100% on Chinese-made drones and their components.📷 Neither move is really about drones…
3:02 PM ET
Tesla
$TSLA
3:02 PM ETTesla
mete on X: "EV makers building humanoids
🇺🇸 Tesla | Optimus
🇨🇳 XPENG | IRON
🇨🇳 BYD | Xiao Di
🇨🇳 CHERY | Mornine
They already build batteries, motors & AI.
Humanoids reuse same industrial stack.
That’s how they’re able to move so fast." / X
Post Log in Sign up Post mete on X: "EV makers building humanoids 🇺🇸 Tesla \| Optimus 🇨🇳 XPENG \| IRON 🇨🇳 BYD \| Xiao Di 🇨🇳 CHERY \| Mornine They already build batteries, motors & AI. Humanoids reuse same industrial stack. That’s how they’re able to move so fast." - mete @VaderResearch EV makers building humanoids 🇺🇸 Tesla \| Optimus 🇨🇳 XPENG \| IRON 🇨🇳 BYD \| Xiao Di 🇨🇳 CHERY \| Mornine They already build batteries, motors & AI. Humanoids reuse same industrial stack. That’s how they’re able to move so fast. View media 3:02 PM · Aug 29, 20268.2KViews 8 3 29 9 - 夕凡的撸毛之路…
2:22 PM ET
THTheSanctuaryAI
2:22 PM ETTHTheSanctuaryAI
John Koetsier on X: "What if you have ...
- great physical AI
- amazing hands
But ... your humanoid robot isn't production ready? And ... you think industrial automation needs hands, arms, etc in addition to full humanoids?
@TheSanctuaryAI decided to offer brains and hands, not just bodies." / X
Post Log in Sign up Post John Koetsier on X: "What if you have ... \- great physical AI \- amazing hands But ... your humanoid robot isn't production ready? And ... you think industrial automation needs hands, arms, etc in addition to full humanoids? @TheSanctuaryAI decided to offer brains and hands, not just bodies." - John Koetsier @johnkoetsier What if you have ... \- great physical AI \- amazing hands But ... your humanoid robot isn't production ready? And ... you think industrial automation needs hands, arms, etc in addition to full humanoids? @TheSanctuaryAI decided to offer brains and…
12:34 PM ET
XPXPENG
12:34 PM ETXPXPENG
@techniahqrobot on X
XPENG is putting serious money behind humanoid robotics. Its robotics business just raised more than $900 million, reaching a post-money valuation above $6.3 billion. The round was led by IDG Capital, with Tencent, Alibaba and Gaorong Ventures participating. XPENG founder He Xiaopeng and co-president Brian Gu also invested roughly $100 million personally. The capital will support the development of IRON XPENG’s human-sized humanoid along with robot hardware Physical AI models and training infrastructure. China’s humanoid race is getting much more expensive.
11:00 AM ET
Nvidia
$NVDA
11:00 AM ETNvidia
Nvidia Wants to Run the World’s Robots. China Is an Eager Customer. - WSJ
Skip to Main Content Skip to... Select - What to Read Next - Most Popular News - Most Popular Opinion DJIA\\ \\ 52766.88\\ \\ -0.79% S&P 500\\ \\ 7631.47\\ \\ -0.71% Nasdaq\\ \\ 26099.77\\ \\ -1.03% Russell 2000\\ \\ 2920.13\\ \\ -1.23% U.S. 10 Yr\\ \\ -1/32\\ \\ 4.804% VIX\\ \\ 16.34\\ \\ 9.52% Gold\\ \\ 4378.40\\ \\ -0.41% Bitcoin\\ \\ 77402.94\\ \\ 0.18% Crude Oil\\ \\ 90.77\\ \\ 0.61% Dollar Index\\ \\ 95.91\\ \\ 0.01% KBW Nasdaq Bank Index\\ \\ 183.86\\ \\ -0.84% S&P GSCI Index Spot\\ \\ 735.66\\ \\ 0.17% Advertisement This copy is for your personal, non-commercial use only. Distribution…
9:28 AM ET
@techniahqrobot
9:28 AM ET@techniahqrobot
@techniahqrobot on X
BeyondMimic is now in Science Robotics. Berkeley and Stanford used a Unitree G1 to track human motions like sprinting, spin-kicks and cartwheels, then used guided diffusion to combine those skills for waypoint navigation and obstacle avoidance. mocap is still used for obstacle and waypoint locations, plus some state estimation. Humanoid agility is advancing fast. How much of it still depends on external sensing infrastructure? #HumanoidRobots #Robotics #PhysicalAI
8:02 AM ET
RLRLWRLD_ai
8:02 AM ETRLRLWRLD_ai
Humanoids Summit on X: "Meet Junghee Ryu, Founder and CEO of @RLWRLD_ai at the Humanoids Summit Seoul.
Join the conversation and network with the leaders shaping the future of Physical AI.
Grab your ticket and be part of the conversation.
#HumanoidsSummit #Seoul #Robotics #PhysicalAI" / X
Post Log in Sign up Post Humanoids Summit on X: "Meet Junghee Ryu, Founder and CEO of @RLWRLD\ai at the Humanoids Summit Seoul. Join the conversation and network with the leaders shaping the future of Physical AI. Grab your ticket and be part of the conversation. \#HumanoidsSummit \#Seoul \#Robotics \#PhysicalAI" - Humanoids Summit @HumanoidsSummit Meet Junghee Ryu, Founder and CEO of @RLWRLD\ai at the Humanoids Summit Seoul. Join the conversation and network with the leaders shaping the future of Physical AI. Grab your ticket and be part of the conversation. #HumanoidsSummit #Seoul #Robotics…
6:01 AM ET
HYHyundai
6:01 AM ETHYHyundai
South Korea Commits KRW 2.3 Trillion to Build Full-Stack Humanoid Robotics Ecosystem by 2030 | Humanoids Daily
Search articles Key Takeaways Show all - Dedicated Humanoid Capital: South Korea is investing KRW 2.3 trillion ($1.66 billion) through 2030 to build an indigenous, full-stack humanoid robotics industry, backed by an additional KRW 2.8 trillion ($2.0 billion) for field verification. - Aggressive Localization Targets: The plan seeks to raise domestic localization of core humanoid components from 45% to 80%, transitioning legacy auto parts manufacturers into precision robotics suppliers. - State Procurement Pipeline: The government will purchase 1,080 humanoid robots and roughly 5,000 total…
5:43 AM ET
@realgalleryx
5:43 AM ET@realgalleryx
@realgalleryx on X
서랍이 안 열리자 수저를 오븐에 넣었다. Physical Intelligence를 만든 Sergey Levine이 Ryan Peterman 앞에서 말한 평가 장면이다. 모델은 π0.5다. 주방에서 수저를 넣으라고 했는데 서랍이 안 열렸다. 옆에 오븐이 있으니 그걸 열고 넣기 시작했다. 아이한테 치우라고 하면, 안 보이게만 넣기도 한다는 것이다. 접시 닦기도 그랬다. 회색, 초록, 하나를 떨어뜨리자 본체가 그 위로 가서 가렸다. 그리고 메모에는 회색 접시는 닦았다고 적혀 있었다. 예전 로봇 실수는 말이 안 되는 버그였다. 지금은 애가 하는 실수다. 이제 자라기만 하면 된다고 했다. 데모가 사람처럼 보일수록, 사람처럼 숨기는지도 같이 보면 된다.
3:26 AM ET
A1A16z
3:26 AM ETA1A16z
@VaderResearch on X
A16z just announced a $1.1bn fund to invest in US manufacturing & physical AI US must build its own hardware to compete with Chinese robotics. There is no way around. Having visited WRC, Robot Games and offices of robotics companies in China, I can personally attest that the gap is large but its not impossible to close it. You can buy small humanoids for as cheap as $3k in China. Maybe not useful for industrial tasks but good for r&d, universities and children. Price offered to overseas typically has a 100% premium. Great article by @randallmbriggs
11:06 PM ET
@SongShuran
11:06 PM ET@SongShuran
@SongShuran on X
Naively finetuning a generalist policy on a new task often just turns it into a specialist: it forgets all the tasks it was trained on before. 🥲 This happens regardless of whether the base policy is large or small (e.g., VLA or diffusion policy). So, how to actually get the continual learning without forgetting? You need to find the "memory anchors" and train with them! Check out @du_maximilian's 🧵👇
11:00 PM ET
Google DeepMind
$GOOGL
11:00 PM ETGoogle DeepMind
Gemini Robotics 2 brings whole body intelligence to robots - YouTube
Error 401 (Bad Request)!!1 401. That’s an error. The server cannot process the request because it is malformed. It should not be retried. That’s all we know. Back Skip navigation Search Search with your voice Sign in Gemini Robotics 2 brings whole body intelligence to robots Tap to unmute 2x Gemini Robotics 2 brings whole body intelligence to robots Google DeepMind 324,052 views 1 month ago Copy link Info Shopping If playback doesn't begin shortly, try restarting your device. • You're signed out Videos you watch may be added to the TV's watch history and influence TV recommendations. To avoid…
8:26 PM ET
Tesla
$TSLA
8:26 PM ETTesla
@HumanoidsHQ on X
If you still think Tesla is just a car company, you’re missing the bigger picture. Optimus could become Tesla’s next massive business. 🤖 Tesla isn’t simply building a humanoid robot — the goal is to mass-produce millions of general-purpose robots capable of performing a wide range of useful tasks. Fremont → Up to 1M Optimus/year Giga Texas → Up to 10M Optimus/year Cars were just the beginning. FSD taught Tesla how to build real-world AI. Optimus could give that AI a human-like body and bring it directly into the physical world. The next 12–18 months could show us just how close Tesla is to…
7:24 PM ET
Tesla
$TSLA
7:24 PM ETTesla
Chinese automakers are following Tesla’s bet that robots are the next big profit machine | TechCrunch
Skip to content Image Credits: Zhang Haofu/Xinhua / Getty Images Robotics Share on FacebookShare on XShare on LinkedInShare on RedditShare over EmailCopy Share Link Chinese automakers are following Tesla’s bet that robots are the next big profit machine Kirsten Korosec 4:24 PM PDT · August 28, 2026 Share on FacebookShare on XShare on LinkedInShare on RedditShare over EmailCopy Share Link The hype around humanoid robots isn’t particularly new. Thank Tesla CEO Elon Musk and his Optimus robot, as well as the myriad videos of Boston Dynamics’ Atlas robot, for that. Behind that hype, though, there…
4:46 PM ET
@SemiAnalysis_
4:46 PM ET@SemiAnalysis_
SemiAnalysis ChipBook
Manage Consent To provide the best experience, we use cookies to store and/or access device information. FunctionalFunctional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. PreferencesPreferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.…
4:00 PM ET
NVIDIA
$NVDA
4:00 PM ETNVIDIA
Conference & Program | embeddedworld North America 2026
Skip to main content Skip to footer Conference & Program The premier demonstration and information sharing platform for the embedded community. Innovation, networking and knowledge are all on display. Make the most of the program with the Mobile App - explore sessions and plan your visit. Search for Sessions here! Day 1-3 Tech Sessions Schedule Day 1Tue · Sep 22Day 2Wed · Sep 23Day 3Thu · Sep 24 Exhibition Open 11:00 AM – 6:00 PM Keynote9:30 – 10:30 AM The Next Evolution of Embedded: Open Platform for Autonomous, Agentic Systems Deepu Talla— VP Robotics & Edge AI, NVIDIA Day 1:1 Technical…
2:10 PM ET
https://x.com/LerrelPinto
2:10 PM EThttps://x.com/LerrelPinto
Lerrel Pinto on X: "Turns out that doing In-context learning for robots is not that hard..." / X
Post Log in Sign up Post Lerrel Pinto on X: "Turns out that doing In-context learning for robots is not that hard..." - Lerrel Pinto @LerrelPinto Turns out that doing In-context learning for robots is not that hard... 00:00 View media 2:10 PM · Aug 28, 2026267.7KViews 26 33 569 205 - ismaelvega @notismaelvega Aug 28 it's right behind me isn't it View media Reply 40 4.9K - Chenhao Li @breadli428 Aug 28 I feel this is a not very well-defined area where we know how “OOD” the task is. 2 22 3.4K - Heeger @GChongkai Aug 28 What's the difference between in-context learning and those one-shot…
1:30 PM ET
@du_maximilian
1:30 PM ET@du_maximilian
MemoryAnchors
01 · Continual Learning Challenge Data Sensitivity in Continual Robot Learning To understand Memory Anchors, we first need to take a closer look at why robot policies forget old tasks when learning new ones. Sequential Task Learning We explore the problem setting of imitation learning on tasks in sequence. Drag the slider to step through ten tasks. The horizontal axis is the learning progress, and the vertical axis is the evaluated tasks. The lighter the off-diagonal elements, the worse the forgetting. ER buffer size 0.5% (Tiny)1% (Small)5% (Medium) Training stage 12345678910 Stage 5 of 10…
12:22 PM ET
@0xconglomerate
12:22 PM ET@0xconglomerate
@0xconglomerate on X
I’m pretty sure some of the things I mentioned here are already things @eastworlds_io and other robot data companies think about internally. s/o to @scale_AI @xdofai @MeckaAI @micro1_ai @LightwheelAI @Figure_robot @LeRobotHF @BitRobotNetwork @PrismaXai @silencioNetwork @GoogleDeepMind @physical_int ++ The point of this report is really just to look past the headline numbers, figure out where the actual value is being created, and see if there are gaps that can be turned into something useful or actionable. That’s also where the framework in the graphic comes from: Measure → find the gaps →…
11:19 AM ET
ARAxis Robotics
11:19 AM ETARAxis Robotics
Cicada Market Making on X: "https://t.co/26k9SK56mf" / X
Post Log in Sign up Post - Cicada Market Making @cicada\mm Inside Robotics and Physical AI Featuring insights from Axis Robotics In 2026, the artificial intelligence industry learned to solve the compute problem. GPUs are becoming more accessible, models are cheaper to run inference on, cloud infrastructure keeps growing. But the next wave of AI, robotics and Physical AI, has a completely different problem. It all comes down to data that simply does not exist in the volume needed. No Internet for Robots LLMs grew out of a foundation that already existed. Decades of text on the internet,…
10:56 AM ET
GEGeneralist
10:56 AM ETGEGeneralist
@chris_j_paxton on X
In-Context Learning Results Hint at a “GPT Moment” for Robotics For general-purpose robots to be useful and economical, you need to be able to teach them new skills on the fly. And now we can see how this will work, with in-context long horizon video demonstrations shown by companies like Generalist, Skild, Rhoda, Rhoda, and RobbyAnt. The idea is simple: prompt with a demonstration, mixed video and proprioception information. Language isn't enough -- it doesn't specify the problem well enough. And it's starting to really work. more in blog post
10:11 AM ET
A1a16z
10:11 AM ETA1a16z
Why Top Founders Are Racing Into AI Infrastructure - YouTube
Error 401 (Bad Request)!!1 401. That’s an error. The server cannot process the request because it is malformed. It should not be retried. That’s all we know. Back Skip navigation Search Search with your voice Sign in Why Top Founders Are Racing Into AI Infrastructure Tap to unmute 2x Why Top Founders Are Racing Into AI Infrastructure a16z 90,021 views 4 days ago Copy link Info Shopping If playback doesn't begin shortly, try restarting your device. • You're signed out Videos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to…
9:54 AM ET
Unitree
9:54 AM ETUnitree
The Humanoid Race Is Moving From Lab to Factory
Categories: Premium Subscription Updates / General Market Commentary Topics: Digital Dispatch / General Market Commentary- BW The Humanoid Race Is Moving From Lab to Factory Shares Share Post Share Email While American investors remain obsessed with the next AI model, China is staging the opening ceremony for physical AI. The recent Unitree IPO was not subtle. One of the world’s leading humanoid-robot makers raised about $905 million in Shanghai, then saw its shares surge more than 500% in its market debut after retail demand oversubscribed the offering by more than 8,000 times. That is not…
9:24 AM ET
BMW
9:24 AM ETBMW
@HumanSapiensX on X
FIGURE 03 JUST ENTERED THE BMW FACTORY. 🤖🏭 Figure 02 helped build 30,000+ BMW X3s in 2025. Now Figure 03 is taking over — and its job is getting much harder. Not just moving parts. It sorts unordered components, sequences them, and pulls loaded carts using whole-body AI control powered by Helix 02. Humanoids are moving from demos to the factory floor. 🚀
6:51 AM ET
https://x.com/poezhao0605
6:51 AM EThttps://x.com/poezhao0605
Poe Zhao on X: "Reuters just published a special investigation on China's humanoid robot boom. I contributed analysis at three points, and together they form one argument.
Start with pricing. China's capital markets have priced humanoid technology very aggressively. Investors are essentially betti… / X
Post Log in Sign up Post Poe Zhao on X: "Reuters just published a special investigation on China's humanoid robot boom. I contributed analysis at three points, and together they form one argument. Start with pricing. China's capital markets have priced humanoid technology very aggressively. Investors are essentially betting on future general-purpose usefulness, not current capability. Then look at where the robots actually work. The economics do not support widespread deployment today. Near-term demand will stay concentrated in dangerous, repetitive and structured work. The real long-term…
5:35 AM ET
@continuumlabs_
5:35 AM ET@continuumlabs_
@continuumlabs_ on X
Physical AI has made huge progress, but scaling intelligent robots is still constrained by problems far beyond the model itself. 7 bottlenecks stand out: 1️⃣ Data: robots need massive amounts of diverse real-world data, and collecting it is slow and expensive. 2️⃣ Hardware: capable robots are still difficult to manufacture, maintain, and deploy at scale. 3️⃣ Dexterity: manipulating objects precisely remains much harder than navigating or recognizing them. 4️⃣ Reliability: real environments are full of edge cases that simulations and controlled tests don't capture. 5️⃣ Cost: expensive…
4:00 AM ET
FIFigureAI
4:00 AM ETFIFigureAI
XMAQUINA on X: "This week @FigureAI launches Index, the largest physical robot training dataset in the world.
30 minutes of video uploads per second.
16M video uploads.
$15M paid to data creators.
Figure says it's committing $1B over the next 12 months on data and compute." / X
Post Log in Sign up Post XMAQUINA on X: "This week @FigureAI launches Index, the largest physical robot training dataset in the world. 30 minutes of video uploads per second. 16M video uploads. $15M paid to data creators. Figure says it's committing $1B over the next 12 months on data and compute." - XMAQUINA @xmaquina This week @FigureAI launches Index, the largest physical robot training dataset in the world. 30 minutes of video uploads per second. 16M video uploads. $15M paid to data creators. Figure says it's committing $1B over the next 12 months on data and compute. 00:00 View media…
2:17 AM ET
1X Technologies
2:17 AM ET1X Technologies
@marketmaker_hq on X
10,000 humanoid robots sold out in 5 days generating $200,000,000+ in pre-orders overnight OpenAI backed 1X Technologies just proved consumer demand for home bots is officially reaching mass hysteria with NEO: • Price: $20,000 flat (or $499/month, less than leasing a sedan) • Design: Soft fabric body with muscle like tendon actuators (no rigid steel gears) • Weight: 62 kg, completely unassisted spatial AI • Demand: 1X is already rushing a dedicated California mega factory just to scale production The physical robotics boom is arriving faster than predicted but hardware is only half the…
2:00 AM ET
ARAxis Robotics
2:00 AM ETARAxis Robotics
@axisrobotics on X
Announcing our partnership with @Dexmal_AI About Dexmal: Dexmal is a technology company focused on general-purpose embodied intelligence, committed to building intelligent, useful, and trustworthy robots. As a core data infrastructure partner, Axis is teaming up with Dexmal to empower their VLA and world models through large-scale egocentric, simulation, and real-world data production. Backed by successful enterprise data deployments, this milestone highlights the scale, precision, and production-grade reliability of Axis’s compounding physical data engine. Together, we are establishing the…
1:48 AM ET
Eduardo Baptista,Ju-min Park
1:48 AM ETEduardo Baptista,Ju-min Park
China’s record robotic strides show the limits of human speed | Reuters
Skip to main content Exclusive news, data and analytics for financial market professionalsLearn more aboutRefinitiv More Videos 0 seconds of 0 secondsVolume 0% Press shift question mark to access a list of keyboard shortcuts Keyboard ShortcutsEnabledDisabled Shortcuts Open/Close/ or ? Play/PauseSPACE Increase Volume↑ Decrease Volume↓ Seek Forward→ Seek Backward← Captions On/Offc Fullscreen/Exit Fullscreenf Mute/Unmutem Decrease Caption Size- Increase Caption Size\+ or = Seek %0-9 Next Up Bolt vs bolts: The biomechanics of man vs machine Live 00:00 00:00 00:00 BEIJING, Aug 28 (Reuters) - A…
1:43 AM ET
ARAxis Robotics
1:43 AM ETARAxis Robotics
@em3kagmi on X
Many People believe Physical might be unachievable not because robots lack arms or GPUs rather, because robots do not have enough real training data. Normal AI LLM can train on text that already exists on the internet but Robots cannot. A robot needs recordings of physical actions like how an arm moves, how a grasp starts to slip, or how an object sits at a slightly different angle. That data is expensive to collect in a lab, slow to produce, and usually too clean to match the real world. @axisrobotics approaches this differently by using a distributed network to collect physical interaction…
8:13 PM ET
Physical Intelligence (π)
8:13 PM ETPhysical Intelligence (π)
Physical Intelligence (π)
Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future. We're looking to add a small number of people to our team and have listed a few of the roles we're hiring for below. That said, we're always on the lookout for the exceptional. If none of these roles quite describe you, tell us what does and why you'd be excited to work at PI — by applying under…
8:00 PM ET
CECerebras
8:00 PM ETCECerebras
Cerebras's Next Generation CS-4: Fast Just Got Faster
SubscribeSign in Cerebras's Next Generation CS-4: Fast Just Got Faster Double the Performance, Double the Power, Double the Fun Myron Xie, Bryan Shan, Wega Chu, and 2 others Aug 18, 2026 ∙ Paid 136 6 Share Cerebras revealed CS-4 this week, with more details to come at Hot Chips. CS-4 is their fourth-generation rack built around the same third generation 5nm wafer-scale engine: WSE-3. CS-4 doubles the performance of CS-3 through increased power consumption and clock frequency per wafer, and better rack-scale density. This all translates into CS-4 being able to double the tokens/s/user per…
7:05 PM ET
Tesla
$TSLA
7:05 PM ETTesla
Optimus Just Entered Production at Fremont. Here's What Changes for Tesla Investors. | The Motley Fool
Most people watch Figure 03 walk and look at the legs. But a lot of the interesting work is happening underneath. Figure’s Helix 02 uses three control layers. System 2 understands the scene the instruction and the goal. System 1 turns that into full-body joint targets at 200 Hz. System 0 runs at 1,000 Hz constantly adjusting balance, contact and coordination. So even a simple step is the result of several control loops working together in real time. That is what makes these humanoid interesting. The movement may look simple from the outside, but the control system behind it is doing a huge…
6:18 PM ET
@Kirkland_Ellis
6:18 PM ET@Kirkland_Ellis
Foreign-Produced Advanced Robotic Devices and Certain Foreign-Produced Power Inverters Added to FCC Covered List | Publications | Kirkland & Ellis LLP
Top The Federal Communications Commission (FCC) has added foreign-produced advanced robotic devices and certain foreign-produced power inverters to its list of equipment and services that have been determined to pose “an unacceptable risk to the national security of the United States or the security and safety of United States persons” (the Covered List). Equipment on the Covered List cannot receive a new FCC equipment authorization, whether through certification or the Supplier’s Declaration of Conformity process. Because most electronic devices require FCC equipment authorization before…
3:41 PM ET
Agility Robotics
3:41 PM ETAgility Robotics
@jinseongeo83473 on X
$CCXI 🤖💰 CCXI / Agility Robotics Study #10✔️ The Big Question — What Could AGLT Actually Be Worth?✔️ The conclusion first: Agility’s $2.5B transaction valuation is beginning to look increasingly conservative. But we should not simply assume that CCXI at $10 = Agility at $2.5B. Once the expected post-merger share count is considered, the market-implied valuation becomes considerably higher. And this is where $15, $20, and $25 start to mean very different things. ① The Starting Point — $2.5B The Agility Robotics / Churchill Capital XI transaction was announced with: • $2.5B pre-money equity…
3:20 PM ET
DYDyna
3:20 PM ETDYDyna
@Rewkang on X
Most Physical AI companies are still doing lab demos. A key factor in our investment in Dyna last year was their world class post training expertise/results and their deployment focus. More deployments begets better data begets better models begets faster time to deployment We saw this loop play out for multimodal models like ChatGPT/Claude and autonomous driving and we're seeing it play out for robotics
2:23 PM ET
@frontrunvc
2:23 PM ET@frontrunvc
@frontrunvc on X
plugged this article into claude + the @frontrunvc mcp. companies that fit the thesis: 👇 vertical, owning a category: @cosmic_robotics autonomous construction @shiraz_ai robots that learn on the job @gravisrobotics turns any excavator into a robot @buildmonumental on-site construction @griprobotics waste management robots, YC S26 the deployment layer: @sydekickbot "the deployment layer for physical AI" @enact_labs "the post-training layer for physical AI" @movingatomslab world models for robots, YC S26 @adamorobotics low-latency teleop stack
2:13 PM ET
DRDYNA Robotics Inc.
2:13 PM ETDRDYNA Robotics Inc.
Careers — DYNA
Contact11:33 AM Name Email Company Team Size 1-2021-5051-100100+ Message BusinessMediaInvestorOther Submit See all open positions Human intelligence wanted. \[ Who we Are \] We’reresearchers,engineers,andoperators(androbots)workingatthefrontierofembodiedAI.Theresearchishard.Thedeploymentisharder.Theopportunityismassive.Ifyouwanttodoworkthatactuallyworksintherealworld,joinus. Department: Machine LearningSoftwareRoboticsHardwareEngineeringResearchData OperationsOperationsMarketing & SalesPeopleProductRobot Safety Operations Title:Location:Type: Machine Learning \\ \\ ML Infrastructure Engineer,…
2:13 PM ET
DYDynaRobotics
2:13 PM ETDYDynaRobotics
@DynaRobotics on X
Let’s dive into the facts. The small details we obsessed about and actually closed the gaps. To keep one Din Tai Fung dining room supplied, a robot has to produce 1,500 table-ready napkins in a day’s shift. A year ago, ours managed 480 with Dyna-1. Today with Dyna-2, we clear well over 1,500 napkins, 2.7x faster and at higher quality. None of it came from one-off solutions engineering. And the performance gains didn’t come from the pre-training alone, but the extensive systems around it.
2:13 PM ET
DYDynaRobotics
2:13 PM ETDYDynaRobotics
@DynaRobotics on X
Waymo was founded in 2009. Their demo took 18 months. Their first driverless rides opened to the public in 2020. It's easy to show a demo. What comes after are the edge cases, recovery, uptime, integrations, and the small failures that only show up once a robot has done the job every day for months. In the field. We spent the past year in that "after" with our customers, running their napkin operations day in and day out. Twelve months ago, Dyna-1 was the most reliable robot foundation model DEMO published at the time. Today the comparison with Dyna-2 is stark.
2:13 PM ET
DRDyna Robotics
2:13 PM ETDRDyna Robotics
Dyna Robotics on X: "After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now.
Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaur… / X
Post Log in Sign up Post Dyna Robotics on X: "After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now. Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network. This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting…
2:13 PM ET
DRDyna Robotics
2:13 PM ETDRDyna Robotics
Dyna Robotics on X: "After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now.
Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaur… / X
Post Log in Sign up Post Dyna Robotics on X: "After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now. Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network. This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting…
2:13 PM ET
DRDyna Robotics
2:13 PM ETDRDyna Robotics
Not Just a Model, But a Product — DYNA
Contact11:33 AM Name Email Company Team Size 1-2021-5051-100100+ Message BusinessMediaInvestorOther Submit Sections: 01Not just a model, but a product02"Both" is our way03How Dyna-2 closed the gaps04Deployment is the eval05The deployment flywheel \[ Research \] Not Just a Model, But a Product Category: Research Author: Dyna Robotics Date: August 2026 Read: 17 min \[Sound\]\[ Fullscreen \] 1.Not just a model, but a product Today, we're really excited to share an announcement our team has been working toward over the past year: our robots have successfully crossed the ROI threshold, and Din Tai…
2:00 PM ET
UAUT Austin
2:00 PM ETUAUT Austin
UT Austin on X: "A new $30 million @NSF award will establish the Center for Human and Robot Co-Adaptation at UT Austin.
Led by Texas researchers, the new center will advance groundbreaking research into how humans and robots can learn to live and work together.
Another bold step forward for resea… / X
Post Log in Sign up Post UT Austin on X: "A new $30 million @NSF award will establish the Center for Human and Robot Co-Adaptation at UT Austin. Led by Texas researchers, the new center will advance groundbreaking research into how humans and robots can learn to live and work together. Another bold step forward for research at Texas. 🤘 Read more: https://t.co/7Cnan7ap54" - UT Austin @UTAustin A new $30 million @NSF award will establish the Center for Human and Robot Co-Adaptation at UT Austin. Led by Texas researchers, the new center will advance groundbreaking research into how humans and…
10:00 AM ET
Google DeepMind
$GOOGL
10:00 AM ETGoogle DeepMind
Piloting the world's first double-blind AI evaluations — Google DeepMind
Skip to main content August 27, 2026 Responsibility & Safety Piloting the world's first double-blind AI evaluations William Isaac, Sol Messing and Kristian Lum Share Building trust in proprietary model benchmarks using cryptographically secure environments Imagine a student is set to take a high-stakes exam. If they accidentally peek at the test questions in advance, achieving a perfect score is influenced by this knowledge, making it a meaningless accomplishment. To truly measure what they know, they must have no visibility of the test questions until it's time to take the exam. That is the…
9:58 AM ET
PEPerceptron
9:58 AM ETPEPerceptron
@TheHumanoidHub on X
Perceptron's Isaac 0.5 is a 36B open-weight embodied foundation model with only 2.5B active per token. The model - Perception, reasoning, and control all read from one shared backbone, so it makes visual decisions mid-trajectory - Null-expert routing lets each token use between zero and eight of the 256 experts - 35+ embodiments and 100k+ hours of demonstrations, so policies port across robots fast The result Scaling general video from 1,000 to 1M hours cut the teleoperation needed to hit their action-loss target from 5,884 hours to 28. On most benchmarks for spatial, physical, and grounding…
8:59 AM ET
BMW
8:59 AM ETBMW
New BMW Cars & SUVs | BMW Dealer Serving Atlanta GA
Skip to main content Labor Day Specials start NOW! Financing as low as 0.9% for 60 months + Loyalty Credits on select models. Shop Labor Day Offers Global Imports BMW - 500 Interstate North Pkwy SE Atlanta, GA 30339 - :855-984-2585 - Shop New - #### Shop New - New BMW Vehicles - Build Your Own - New BMW Specials - #### Shop by Series - X1 - X2 - X3 - X5 - X6 - X7 - 2 - 3 - 4 - 5 - 7 - 8 - Z4 - i4 - i5 - i7 - iX3 - XM - M - Shop Electric - #### Shop Electric - New BMW Electric Vehicles - Charging & Benefits - Why BMW Electric? - BMW PHEV Models - BMW iX3 - #### Shop by Model - Shop BMW…
8:46 AM ET
AGAGIBOTofficial
8:46 AM ETAGAGIBOTofficial
MANUS™ on X: "Gold medals at the World Humanoid Robot Games! 🏆
Congratulations to our partner @AGIBOTofficial on winning 18 gold medals and topping the medal table at the 2nd World Humanoid Robot Games. Using @ManusMeta gloves for real-time teleoperation, the team's @AGILINKai OmniHand took first… / X
Post Log in Sign up Post MANUS™ on X: "Gold medals at the World Humanoid Robot Games! 🏆 Congratulations to our partner @AGIBOTofficial on winning 18 gold medals and topping the medal table at the 2nd World Humanoid Robot Games. Using @ManusMeta gloves for real-time teleoperation, the team's @AGILINKai OmniHand took first place in events including cable connection, unboxing, nail fixing, and bottle opening. An outstanding demonstration of dexterous manipulation. Across the competition in Beijing, many teams used MANUS Metagloves for real-time teleoperation. When every movement matters, MANUS…
8:28 AM ET
@continuumlabs_
8:28 AM ET@continuumlabs_
@continuumlabs_ on X
How does a robot actually “see” the world? It doesn’t see in the human sense. A robot builds its understanding of the environment by combining signals from multiple sensors. 📷 Cameras capture visual information: objects, colors, signs, people and more. 📡 LiDAR measures distance with laser pulses, helping create a 3D representation of the surroundings. 📶 Radar detects distance and movement, and can remain useful in conditions where cameras struggle, such as rain, fog or darkness. 🔍 Depth sensors estimate how far objects are and help the robot understand the shape and structure of nearby…
6:31 AM ET
PRpollen robotics
6:31 AM ETPRpollen robotics
Thomas Wolf on X: "We have a huge news to share today!
Today we are unveiling the first truly accessible RL robot - welcome Microduck
A 25 cm tiny open-source biped with 15 actuators and packed with sensors (camera, speaker, LiDAR, NFC, bluetooth, wifi, etc) that you train yourself with reinforce… / X
Post Log in Sign up Post Thomas Wolf on X: "We have a huge news to share today! Today we are unveiling the first truly accessible RL robot - welcome Microduck A 25 cm tiny open-source biped with 15 actuators and packed with sensors (camera, speaker, LiDAR, NFC, bluetooth, wifi, etc) that you train yourself with reinforcement learning. It's also playable out of the box with more than half a dozen fun and playful pre-trained policies to have it walk, sit, crouch, roller-skate, pick up objects with its articulated beak, and recover on its own. And all for less than $400. See all the details,…
5:30 AM ET
XTXiaomi Technology
5:30 AM ETXTXiaomi Technology
@ctorobotics on X
Humanoid robots are entering the factory floor. 🤖🏭 Xiaomi Technology is deploying wheeled and humanoid robots inside its automotive manufacturing facility. The interesting part isn’t just the robot itself it’s the combination of mobility + AI + factory automation working together. This could be a major shift in how future factories operate. Would you trust humanoid robots to work alongside humans on a production line? 👀 🎥 Credit: lincoln_robotics_space ( Instagram ) ⚠️ This content is shared for informational and educational purposes only. CTO Robotics Media is a media platform and does…
5:18 AM ET
NVIDIA
$NVDA
5:18 AM ETNVIDIA
Shuddhatma Jain on X: "Sanja Fidler quit her job running NVIDIA's Toronto AI lab, started a company three months ago, and has already pulled in $90 million without shipping a single product.
nobody is betting on a robot here. they're betting she can build the world robots learn inside 🧵" / X
Post Log in Sign up Post Shuddhatma Jain on X: "Sanja Fidler quit her job running NVIDIA's Toronto AI lab, started a company three months ago, and has already pulled in $90 million without shipping a single product. nobody is betting on a robot here. they're betting she can build the world robots learn inside 🧵" - Shuddhatma Jain @decepticons0101 Sanja Fidler quit her job running NVIDIA's Toronto AI lab, started a company three months ago, and has already pulled in $90 million without shipping a single product. nobody is betting on a robot here. they're betting she can build the world robots…
4:00 AM ET
ARAxis Robotics
4:00 AM ETARAxis Robotics
Axis Robotics × Booster: From Digital Twins to a Robot Data Engine
Back How task-aligned simulation, real demonstrations, and continued pretraining can make each new Booster task easier to build than the last. Robot learning has a model problem. More importantly, it has a data-operations problem. Figure — Axis’s simulation solution spans third-person, head, and wrist observations while varying appearance, materials, object layout, lighting, and scene context. The objective is to preserve task structure while varying the details that should not control the policy. Introduction For robotics companies building new embodiments—and, increasingly, for the entire…
China can build kung fu-fighting robots. But it can’t get them to do factory work | Reuters
Skip to main content Exclusive news, data and analytics for financial market professionalsLearn more aboutRefinitiv LIUZHOU, China - Inside a training center in southern China, more than 100 humanoid robots stand in neat rows. A dozen human trainers wearing headsets guide some of them through simple tasks – sorting crates, packaging noodles, making coffee. The humanoids are slow and awkward. A novice trainer might get them to produce one usable movement in 300 attempts; an experienced trainer, one in 50. Robot maker UBTech won an $18 million tender from the Guangxi regional government last…
12:43 AM ET
https://x.com/ErenChenAI
12:43 AM EThttps://x.com/ErenChenAI
Eren Chen on X: "GRIT, a humanoid robotics lab in China demos its whole-body control under strong terrain disturbances during teleoperation.
The robot keeps tracking the operator while stepping over obstacles and maintaining balance.
Pretty robust." / X
Post Log in Sign up Post Eren Chen on X: "GRIT, a humanoid robotics lab in China demos its whole-body control under strong terrain disturbances during teleoperation. The robot keeps tracking the operator while stepping over obstacles and maintaining balance. Pretty robust." - Eren Chen @ErenChenAI GRIT, a humanoid robotics lab in China demos its whole-body control under strong terrain disturbances during teleoperation. The robot keeps tracking the operator while stepping over obstacles and maintaining balance. Pretty robust. 00:00 View media 12:43 AM · Aug 27, 20264.4KViews 1 5 54 20 - Snoopy…
11:01 PM ET
@frontrunvc
11:01 PM ET@frontrunvc
@frontrunvc on X
here's 8 sourced on @frontrunvc: own hardware, own software, one vertical, no announced round. 🫡 @shiraz_ai - robots that learn a manufacturing task from one demo. ex boston dynamics, amazon robotics. @propriorobotics - robots that run the data center floor. berkeley + harvard. @LambdaRobo - robots that build and service data centers. @griprobotics - picking robots for waste and recycling. @fw_automation - automated apparel factories in the US. founder's last textile co did $75M. @dm_robots - robot arms for european SME manufacturing, taught by demonstration. ETH. @autofab_inc - a robot arm…
11:01 PM ET
SoftBank
$SFTBY
11:01 PM ETSoftBank
Ismail | SinyalKatmanı | on X: "SoftBank, humanoid robot üreticisi 1X’te çoğunluk hissesi için $6B değerleme üzerinden görüşüyor. NEO için 10K' dan fazla sipariş var.
Son, OpenAI ve AI infra sonrası fiziksel AI’a yükleniyor. Sipariş var ama ticari teslimat ölçeği henüz kanıtlanmadı." / X
Post Log in Sign up Post Ismail \| SinyalKatmanı \| on X: "SoftBank, humanoid robot üreticisi 1X’te çoğunluk hissesi için $6B değerleme üzerinden görüşüyor. NEO için 10K' dan fazla sipariş var. Son, OpenAI ve AI infra sonrası fiziksel AI’a yükleniyor. Sipariş var ama ticari teslimat ölçeği henüz kanıtlanmadı." - Ismail \| SinyalKatmanı \| @sinyalkatmani SoftBank, humanoid robot üreticisi 1X’te çoğunluk hissesi için $6B değerleme üzerinden görüşüyor. NEO için 10K' dan fazla sipariş var. Son, OpenAI ve AI infra sonrası fiziksel AI’a yükleniyor. Sipariş var ama ticari teslimat ölçeği henüz…
10:13 PM ET
SoftBank
$SFTBY
10:13 PM ETSoftBank
@CapitalSqueez on X
$CCXI SoftBank paying $6B for control of 1X is a category green light. Masa is buying physical AI. That lifts every credible humanoid name. 1X is the home bet: $20k NEO, 10k pre-orders. Home is the hardest environment. SoftBank still wants it. 🔥 Agility is the better near-term trade. Digit is already working — 65k+ hours, 100k+ totes at GXO. Did you know…SoftBank is already an investor in Agility via its Vision Fund 2? 💥 @agilityrobotics @HumanoidInvest @PeggyJ @slinkyhammer @SCSQ2022 @valueInIdeas @chris_j_paxton
6:24 PM ET
Agility Robotics
6:24 PM ETAgility Robotics
@Coexisteven on X
3/4 🤖 Robotics / Physical AI Layer Agility Robotics shared a video of Digit’s whole-body range of motion being stress-tested in a workout class (every joint in sync for timing, velocity, and balance - the same control stack used on warehouse floors) CEO Peggy Johnson also appeared on Bloomberg discussing real-world deployment progress: Digit is now across nine customer sites with over 65,000 hours of operation. Tesla continued pushing FSD Supervised as a “guardian angel” on the road and noted the Summer Release using Grok Think Fast 2.0. Quiet week from Figure Robotics, Boston Dynamics, and…
4:05 PM ET
NVIDIA
$NVDA
4:05 PM ETNVIDIA
How to Train a Cross-Embodiment Robot Navigation Policy with AI Agents | NVIDIA Technical Blog
Technical Blog Subscribe Related Resources Robotics English한국어中文 How to Train a Cross-Embodiment Robot Navigation Policy with AI Agents Aug 26, 2026 By Yan Chang, Mihir Acharya, Wei Liu, Katie Washabaugh and Aishwarya Singh +9 Like Discuss (0) - L - T - F - R - E AI-Generated Summary - COMPASS adapts the pretrained NVIDIA X-Mobility policy into residual specialists for specific robots and environments using reinforcement learning. - An agent-driven workflow with human approval gates automates environment validation, scene preparation, smoke testing, residual training, checkpoint evaluation,…
4:04 PM ET
Agility Robotics
4:04 PM ETAgility Robotics
Agility on X: "Whole-body range of motion, stress-tested by a workout class. Every joint in sync — timing, velocity, balance. The same control Digit uses on a real warehouse floor.
#Agility #DigitRobot" / X
Post Log in Sign up Post Agility on X: "Whole-body range of motion, stress-tested by a workout class. Every joint in sync — timing, velocity, balance. The same control Digit uses on a real warehouse floor. \#Agility \#DigitRobot" - Agility @agilityrobotics Whole-body range of motion, stress-tested by a workout class. Every joint in sync — timing, velocity, balance. The same control Digit uses on a real warehouse floor. #Agility #DigitRobot 00:00 View media 4:04 PM · Aug 26, 202611.3KViews 9 4 42 7 - Capital\Squeeze❄️ @CapitalSqueez Aug 27 Agility Robotics’ Digit is positioned to disrupt and…
2:45 PM ET
pi
2:45 PM ETpi
Rhys on X: "Cool to see a bunch of new robotics foundation model releases:
π0.7 from @physical_int
GEN-1.5 from @generalistAI
S1 from @SkildAI
Feels like the GPT-3 moment for robotics. Robot Models are Few-Shot Learners!" / X
Post Log in Sign up Post Rhys on X: "Cool to see a bunch of new robotics foundation model releases: π0.7 from @physical\int GEN-1.5 from @generalistAI S1 from @SkildAI Feels like the GPT-3 moment for robotics. Robot Models are Few-Shot Learners!" - Rhys @RhysLindmark Cool to see a bunch of new robotics foundation model releases: π0.7 from @physical\int GEN-1.5 from @GeneralistAI S1 from @SkildAI Feels like the GPT-3 moment for robotics. Robot Models are Few-Shot Learners! View media View media 2:45 PM · Aug 26, 2026255Views 3 3 - Rhys @RhysLindmark Aug 26 Also damn, still so early for robot…
1:47 PM ET
@NewsHumanoid
1:47 PM ET@NewsHumanoid
@NewsHumanoid on X
Held in Beijing from August 22–26, 2026, the 2026 World Humanoid Robot Games delivered one of its most viral moments when China’s Tiangong Ultra completed the 100-meter race in just 8.64 seconds. That time is nearly a full second faster than Usain Bolt’s 9.58-second human world record. Still, robot and human race conditions are not directly comparable. The more meaningful benchmark is year-over-year progress: Tiangong Ultra won the same event last year in 21.50 seconds. Cutting the time by more than half in a single year highlight how rapidly humanoid robotics is advancing. Tiangong Ultra can…
1:39 PM ET
GRGalbot Robotics
1:39 PM ETGRGalbot Robotics
@GalbotRobotics on X
🏆 3 GOLD MEDALS. 100% AUTONOMOUS. 100% WIN RATE. Galbot G1 swept the three most challenging scenario competitions at #WHRG: Home, Catering, and Retail. 🏅 Home: household organization, laundry, delivery pickup, and long-horizon tasks with unexpected interruptions 🏅 Catering: understanding voice commands, handling and heating food, preparing drinks, and completing delivery 🏅 Retail: order picking, shelf restocking, store inspection, and returning misplaced products When robots can truly understand, plan, and act autonomously in the physical world, embodied AI’s “ChatGPT moment” may be…
1:24 PM ET
Apptronik
1:24 PM ETApptronik
Humanoids are for marketing, robots are the real business
READ00% The Apollo that Apptronik showed the world at the end of June has two legs, a torso, a head and the general proportions of a five-foot-eight adult. The Apollo its paying customers keep asking for has a wheeled base instead. Apptronik, an Austin robotics company that has raised nearly a billion dollars to build a humanoid, now ships its flagship in two configurations, and the one destined for warehouses rolls. Logistics buyers, it turns out, want stability, battery life and predictability more than they want a machine that walks. The case for legs is a good one, and the company has…
1:23 PM ET
VAVeeda AI
1:23 PM ETVAVeeda AI
Open roles with founders hailing from NVIDIA, Citadel, Palantir, and MIT
SubscribeSign in Discover more from a16z Jobs New jobs every day. Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Already have an account? Sign in Open roles with founders hailing from NVIDIA, Citadel, Palantir, and MIT Plus, a list of open roles at early-stage startups building their founding teams Katie Kirsch and Lauren Nguyen Aug 26, 2026 8 2 1 Share Build -1 → 0 Get on the ground floor with the founding team of a pre-seed or seed-stage startup. - After 8 years running AI research at NVIDIA, Sanja Fidler…
1:15 PM ET
WLWorld Labs
1:15 PM ETWLWorld Labs
@drfeifei: 🤖 x 🌍 = 📈 come and join us for this exciting journey!!
🤖 x 🌍 = 📈 come and join us for this exciting journey!!
1:05 PM ET
WLWorld Labs
1:05 PM ETWLWorld Labs
World Labs on X: "The next generation of robotics needs models that can understand, simulate, learn from, and act across virtual and physical worlds.
We’re hiring a Sr Business Development Lead, Robotics & Physical AI to help bring this technology into real-world applications 🤖🚀" / X
Post Log in Sign up Post World Labs on X: "The next generation of robotics needs models that can understand, simulate, learn from, and act across virtual and physical worlds. We’re hiring a Sr Business Development Lead, Robotics & Physical AI to help bring this technology into real-world applications 🤖🚀" - World Labs @theworldlabs The next generation of robotics needs models that can understand, simulate, learn from, and act across virtual and physical worlds. We’re hiring a Sr Business Development Lead, Robotics & Physical AI to help bring this technology into real-world applications…
12:08 PM ET
DVDynamo Ventures
12:08 PM ETDVDynamo Ventures
Dynamo Dispatch (2026/08/24) - by Santosh Sankar
Dispatch by Dynamo Ventures SubscribeSign in Discover more from Dispatch by Dynamo Ventures The signal in the noise of the industrial renaissance. Each week, we distill the headlines that matter across the physical economy along with our unique perspective and opinion. Join the thousands of founders, executives, and investors who read it. Over 4,000 subscribers Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Already have an account? Sign in Dynamo Dispatch (2026/08/24) Issue 384 \| The grid, the canal, and the…
10:59 AM ET
Figure
10:59 AM ETFigure
Brett Adcock on X: "We're now over 43,000 weekly active users collecting data to train Helix, our AI model for F.03 robots
This data collection project, Index, is our answer to the data problem: the largest useful robot training dataset in the world
Extrapolate out, and this is the pretraining ne… / X
Post Log in Sign up Post Brett Adcock on X: "We're now over 43,000 weekly active users collecting data to train Helix, our AI model for F.03 robots This data collection project, Index, is our answer to the data problem: the largest useful robot training dataset in the world Extrapolate out, and this is the pretraining needed for large scale robot generalization The effort started by purchasing data from vendors but this data was scarce and really poor quality - there was simply no way to make this work correctly at scale. So we did it ourselves. It was quite a massive effort that has now…
10:59 AM ET
Figure
10:59 AM ETFigure
@adcock_brett on X
We're now over 43,000 weekly active users collecting data to train Helix, our AI model for F.03 robots This data collection project, Index, is our answer to the data problem: the largest useful robot training dataset in the world Extrapolate out, and this is the pretraining needed for large scale robot generalization The effort started by purchasing data from vendors but this data was scarce and really poor quality - there was simply no way to make this work correctly at scale. So we did it ourselves. It was quite a massive effort that has now resulted in a Figure-owned data pipeline that is…
10:13 AM ET
COCosmicbrainai
10:13 AM ETCOCosmicbrainai
@antopatrex1 on X
scaling laws do not apply to physical AI yet. i'll say it again. scaling laws do not apply to physical AI. chelsea finn from physical intelligence showed this during her YC talk. they trained pi0.7 to make coffee. the robot couldn't learn from video alone. failed over and over. an engineer had to physically grab the robot and correct it multiple times just to get it to catch the coffee grouper with one hand and balance with the other. peter florence at generalist, same story. VLA models, the robot figured out hand usage from video datasets but still needed a human to step in and fix the…
10:02 AM ET
Skild AI
10:02 AM ETSkild AI
@ThomasSmale on X
$14B valuation. Pre-revenue. A handful of customers. That is Skild AI today. And it is not the outlier. Physical Intelligence: $11B Generalist: $2B to $3B in months, $600M raised Skild AI: $14B Three companies. Billions in capital. Almost no commercial traction between them. The thesis is simple. Someone builds the foundation model for robotics the way OpenAI built one for language. Find the winner early, own the platform forever. Here is the problem. LLMs were trained on trillions of words scraped from the open internet. That dataset already existed, and it was free. No equivalent exists for…
9:38 AM ET
@techniahqrobot
9:38 AM ET@techniahqrobot
@techniahqrobot on X
The most important humanoid robot factory nobody is watching yet. Japan just opened a factory where humanoid robots train for the real world Inside J-HRTI’s new 1,400 m² facility in Chiba, 35 humanoid robots are already collecting physical interaction data, with capacity for 40. Japan plans to expand this model to 10 data factories by 2027. The humanoid race is becoming a data race. Video source: LOGI-BIZ Online, filmed on-site at J-HRTI Kanto Data Factory in Narashino, Chiba, and published on August 26, 2026. #HumanoidRobots #PhysicalAI #EmbodiedAI #Robotics #Japan #ArtificialIntelligence
9:30 AM ET
Unitree
9:30 AM ETUnitree
Robot brain builders are pushing out of their GPT-2 era | TechCrunch
Checking your Browser… Verifying... Stuck? Troubleshoot Success! Verification failed Troubleshoot Verification expired Refresh Verification expired Refresh Troubleshoot Cloudflare, opens in a new tab Privacy • Help Skip to content Image Credits: Kiyoshi Ota/Bloomberg / Getty Images Robotics Share on FacebookShare on XShare on LinkedInShare on RedditShare over EmailCopy Share Link Robot brain builders are pushing out of their GPT-2 era Tim Fernholz 6:30 AM PDT · August 26, 2026 Share on FacebookShare on XShare on LinkedInShare on RedditShare over EmailCopy Share Link Physical AI is one of the…
7:52 AM ET
Tesla
$TSLA
7:52 AM ETTesla
@HumanoidsHQ on X
Optimus has the potential to become one of the most important products ever created. Once humanoid robots can perform a wide range of useful tasks at scale, the impact on manufacturing and the global workforce could be enormous. Tesla’s focus is now clear: scale Optimus production as fast as possible.
6:10 AM ET
UNUnitreeRobotics
6:10 AM ETUNUnitreeRobotics
@UnitreeStore_SH on X
Unlock unlimited sports potential (Extra large joint movement space angle, 23~43 joints) Force control of dexterous hands, manipulation of all thingsImitation & reinforcement learning driven Robot world model, let’s create it together Unitree G1 Price from $13.5K. Experience G1 at the Unitree Store in Shanghai. Follow us for more robots, technology, and store experiences. 📍 2nd Floor, Jiuguang Department Store, West Nanjing Road, Shanghai 🕙 Open daily, 10:00–22:00 🚇 Metro Lines 2, 7 & 14(Jing'an Temple Station，静安寺站) #Unitree #UnitreeRobotics #UnitreeG1 #G1 #HumanoidRobot #Robotics…
6:10 AM ET
Google
$GOOGL
6:10 AM ETGoogle
@zhodonx on X
I’ve said before that I think Google & DeepMind are playing a longer game with models. This is still a firm stance. Because a lot of the time, i think people look at Google’s model strategy too narrowly; Every Gemini release immediately gets reduced to how it compares with other labs or whatever benchmark is trending that week. Meanwhile the it’s more about where all of that intelligence might show up next. Like in Reasoning, Vision, Video, Agents. And particularly robotics. I believe Gemini Robotics ER 2 is a clear example here. It was built on Gemini 3.5 Flash. Except, now its intelligence…
6:09 AM ET
Skild
6:09 AM ETSkild
@0xconglomerate on X
Is it really possible for a robot to learn a new task from one human video, with zero fine-tuning? I’ve read a lot of hype around Skild’s S1, with some already calling it robotics’ “ChatGPT moment.” That sounded a bit absurd to me, so I looked into what’s actually going on 👇 ➦ What is @SkildAI actually claiming? I’ve written enough marketing material for AI, robotics, and tech companies that I’m usually skeptical when something sounds too good to be true. If you only saw the announcement post, you could easily think the robot just watches one human video and somehow learns the task from that…
2:33 AM ET
@deepakpathak
2:33 AM ET@deepakpathak
@deepakpathak on X
@JieWang_ZJUI These are 5-10min long tasks, ~500 demos needed for VLAs. Practically takes much longer than 50-100hrs to collect 50hrs of robot data assuming people take break or make mistake too.
2:18 AM ET
ARAxis Robotics
2:18 AM ETARAxis Robotics
@axisrobotics on X
2/ What you're actually doing Axis is the compounding data engine for physical AI. Every task you complete on Axis Hub is a robot trajectory — real training data for real robot policies. You do the demonstration, we verify it, you sign it on-chain. Your contribution becomes a permanent record. Learn more:
2:18 AM ET
ARAxis Robotics
2:18 AM ETARAxis Robotics
Axis Robotics on X: "Axis Robotics x @BinanceWallet is live.
1,500,000 Axis Points. 30 days. Reserved exclusively for Binance Keyless Wallet users.
Teach robots. Sign your data on Base. Get paid in Points from a pool that's entirely separate from the main product.
How it works:" / X
Post Log in Sign up Post Axis Robotics on X: "Axis Robotics x @BinanceWallet is live. 1,500,000 Axis Points. 30 days. Reserved exclusively for Binance Keyless Wallet users. Teach robots. Sign your data on Base. Get paid in Points from a pool that's entirely separate from the main product. How it works:" - Axis Robotics @axisrobotics Axis Robotics x @BinanceWallet is live. 1,500,000 Axis Points. 30 days. Reserved exclusively for Binance Keyless Wallet users. Teach robots. Sign your data on Base. Get paid in Points from a pool that's entirely separate from the main product. How it works: View…
7:36 PM ET
@dredgefactory
7:36 PM ET@dredgefactory
@dredgefactory on X
A 29900$ MACHINE IS DANCING ON A PAVEMENT AND NOT ONE PERSON WALKING PAST LOOKS UP. 29900$ is a Unitree H2, the class this thing sits in. Entry models go for 13500$. Every beat throws its centre of mass and the feet catch it in real time - uneven stone, no tether, no handrail. Same loop that keeps it standing in a warehouse.
7:06 PM ET
Figure
7:06 PM ETFigure
@TheHumanoidHub on X
Figure takes vertical integration to another level. Figure built its own egocentric data collection pipeline. Index is a crowdsourcing platform where anyone can collect data. - 264K app downloads across 108 countries - 44K weekly active contributors - 16M videos uploaded, 30 minutes of video ingested every second - $15M already paid out to contributors Figure says data vendors couldn't hit the throughput, diversity, or quality bar, so they built the pipeline themselves. Next 12 months: $1B committed to data and compute.
5:27 PM ET
https://x.com/huaijiangzhu
5:27 PM EThttps://x.com/huaijiangzhu
huaijiang on X: "ok, so if i understood this correctly, the “in-context learning” ability was essentially baked into the model at training time. roughly speaking, the policy is trained to do something like:
(demo video, current obs) → action
this is quite different from in-context learning in llm… / X
Post Log in Sign up Post huaijiang on X: "ok, so if i understood this correctly, the “in-context learning” ability was essentially baked into the model at training time. roughly speaking, the policy is trained to do something like: (demo video, current obs) → action this is quite different from in-context learning in llms, where the model is simply trained on next-token prediction over arbitrary context. fwiw, this is pretty clever because it could also solve another problem: they could pair an egocentric video-only demonstration with a UMI/teleop trajectory for the same task. the target…
3:19 PM ET
@gupta_abhinav_
3:19 PM ET@gupta_abhinav_
@gupta_abhinav_ on X
Punch: Skild S1 is 380 times more data efficient than standard VLA models! yes...let that sink in..
3:03 PM ET
NINissan
3:03 PM ETNINissan
NMIS – Nissan Manufacturing Innovation Summit – Innovation and Technology Summit for Greater Nashville Manufacturing
Close - Home - Event Schedule - Exhibitors - Speakers - Food - Golf - Linkedin - Home - Event Schedule - Exhibitors - Speakers - Food - Golf Register - Home - Event Schedule - Exhibitors - Speakers - Food - Golf Register Nissan Manufacturing Innovation Summit Innovate. Pivot. Lead. Event Schedule We are excited to announce the ninth annual Nissan Manufacturing Innovation Summit hosted by Nissan and the regional SME Chapter 43. This dynamic event brings together manufacturers, suppliers, innovators, and thought leaders to explore cutting-edge solutions including digital twin software,…
2:05 PM ET
Skild
2:05 PM ETSkild
@rohanpaul_ai on X
Robotics is more and more getting close to get its version of in-context learning. Skild just released S1, a robot foundation model that uses video demonstrations to define tasks instead of language instructions. Give S1 1 human video showing a long, multi-step task, and the robot executes it straight away. No retraining. No fine-tuning. If this scales, you pay the enormous data bill once during foundation-model training, then amortize it across thousands of new tasks through prompting. That could change the economics of robot learning completely.
2:04 PM ET
Skild
2:04 PM ETSkild
@DeryaTR_ on X
This is super exciting advance in robotics AI! I believe S1 is the most impressive robot foundation model I had seen! S1, is a robot foundation model built to learn new manipulation tasks through in-context prompting In Skild’s internal benchmarks, S1 achieved a 66% step-success rate on unseen tasks versus 9% for a language-prompted model, while one video demonstration provided roughly the benefit of 380 post-training examples!
1:55 PM ET
Agility Robotics
1:55 PM ETAgility Robotics
Agility on X: "We're hiring a Senior AI Software Engineer, Reinforcement Learning. Develop and deploy RL policies for locomotion, whole-body control, and manipulation — on a humanoid robot already working in production facilities.
Build with us: https://t.co/b2Gs1xW7st
#Agility" / X
Post Log in Sign up Post Agility on X: "We're hiring a Senior AI Software Engineer, Reinforcement Learning. Develop and deploy RL policies for locomotion, whole-body control, and manipulation — on a humanoid robot already working in production facilities. Build with us: https://t.co/b2Gs1xW7st \#Agility" - Agility @agilityrobotics We're hiring a Senior AI Software Engineer, Reinforcement Learning. Develop and deploy RL policies for locomotion, whole-body control, and manipulation — on a humanoid robot already working in production facilities. Build with us: agilityrobotics.com/about/job-post……
1:54 PM ET
@gupta_abhinav_
1:54 PM ET@gupta_abhinav_
@gupta_abhinav_ on X
@0fir0z @deepakpathak In the silicon valley world the race for robotics companies is to be similar to LLMs. But actually robotics needs many more concepts from computer vision. We are proud to say S1 is using so many of our past efforts in computer vision CC: @JitendraMalikCV
1:41 PM ET
Unitree Robotics
1:41 PM ETUnitree Robotics
Markets surge, track records fall, and in-context learning hits physical AI
- Home - Posts - Markets surge, track records fall, and in-context learning hits physical AI Markets surge, track records fall, and in-context learning hits physical AI Unitree’s market whiplash, an 8.86s 100m sprint, and how in-context learning is ending heavy fine-tuning. Humanoids Daily Aug 25, 2026 This week brought a stark look at the tension defining modern humanoid robotics: the gap between capital market euphoria, athletic spectacle, and the unglamorous realities of industrial utility. Unitree's blockbuster Shanghai STAR Market listing initially saw shares rocket over 600% to an…
1:38 PM ET
Figure
1:38 PM ETFigure
Figure on X: "We are now on a path to 100x, and are committed to spend over $1B the next 12 months on data and compute
Index is laying the groundwork for ordering robots as a service. Today, you have people coming to help clean your house; eventually, a robot will do everything for you" / X
Post Log in Sign up Post Figure on X: "We are now on a path to 100x, and are committed to spend over $1B the next 12 months on data and compute Index is laying the groundwork for ordering robots as a service. Today, you have people coming to help clean your house; eventually, a robot will do everything for you" - Figure @Figure\robot Aug 25 Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos 00:00 View media 181 345 3.6K 525K - Figure…
1:36 PM ET
Figure
1:36 PM ETFigure
Figure on X: "By the numbers:
→ While in stealth, we crossed 264,000 app downloads
→ Uploading over 30 min of video very second
→ Over 16M video uploads
→ Paid out $15M to date
Weekly active users is now over 43,000" / X
Post Log in Sign up Post Figure on X: "By the numbers: → While in stealth, we crossed 264,000 app downloads → Uploading over 30 min of video very second → Over 16M video uploads → Paid out $15M to date Weekly active users is now over 43,000" - Figure @Figure\robot Aug 25 Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos 00:00 View media 181 345 3.6K 525K - Figure @Figure\robot Aug 25 The data needed to scale a truly general purpose robots…
1:35 PM ET
@gupta_abhinav_
1:35 PM ET@gupta_abhinav_
@gupta_abhinav_ on X
We did not rush to put our results in public domain because we wanted to spend time understanding the prompting phenomenon. For the last two months, we have tried to obtain scaling laws of prompting models. We also tried to explain the phenomenon and comparison under both seen and unseen settings. These graphs make our results extremely promising!
1:35 PM ET
Figure
1:35 PM ETFigure
Figure on X: "We've now collected data in 108 countries to date
Here's a global map of our collection, now updating live on our website, each point of light represents a real world contributions to our dataset" / X
Post Log in Sign up Post Figure on X: "We've now collected data in 108 countries to date Here's a global map of our collection, now updating live on our website, each point of light represents a real world contributions to our dataset" - Figure @Figure\robot Aug 25 Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos 00:00 View media 181 345 3.6K 525K - Figure @Figure\robot Aug 25 The data needed to scale a truly general purpose robots…
1:35 PM ET
https://x.com/adcock_brett
1:35 PM EThttps://x.com/adcock_brett
Brett Adcock on X: "We are now on a path to 100x, and are committed to spend over $1B the next 12 months on data and compute
Index is laying the groundwork for ordering robots as a service. Today, you have people coming to help clean your house; eventually, a robot will do everything for you" / X
Post Log in Sign up Post Brett Adcock on X: "We are now on a path to 100x, and are committed to spend over $1B the next 12 months on data and compute Index is laying the groundwork for ordering robots as a service. Today, you have people coming to help clean your house; eventually, a robot will do everything for you" - Brett Adcock @adcock\brett Aug 25 Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the next…
1:34 PM ET
RHrhoda
1:34 PM ETRHrhoda
@chris_j_paxton on X
This is the mark of a general purpose robot foundation model -- that it can be taught tasks from examples without training. We saw an early version of this from rhoda and a solid one last week from generalist, and now a really impressive, ten minute long one from skild. This to me does feel like the true gpt moment for robotics -- because if it truly generalizes, that means that you can really start deploying robots for anything, as developing robot skills becomes like prompting
1:34 PM ET
Figure
1:34 PM ETFigure
Figure on X: "The data needed to scale a truly general purpose robots doesn't exist on the internet - it has to come from the real world
For the last 4 months, we’ve been building a Figure-exclusive pipeline to scale data collection at higher throughputs. Today, we’re coming out of stealth" / X
Post Log in Sign up Post Figure on X: "The data needed to scale a truly general purpose robots doesn't exist on the internet - it has to come from the real world For the last 4 months, we’ve been building a Figure-exclusive pipeline to scale data collection at higher throughputs. Today, we’re coming out of stealth" - Figure @Figure\robot Aug 25 Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos 00:00 View media 181 345 3.6K 525K - Figure…
1:33 PM ET
Figure
1:33 PM ETFigure
Brett Adcock on X: "The data needed to scale a truly general purpose robots doesn't exist on the internet - it has to come from the real world
For the last 4 months, we’ve been building a Figure-exclusive pipeline to scale data collection at higher throughputs. Today, we’re coming out of stealth" / X
Post Log in Sign up Post Brett Adcock on X: "The data needed to scale a truly general purpose robots doesn't exist on the internet - it has to come from the real world For the last 4 months, we’ve been building a Figure-exclusive pipeline to scale data collection at higher throughputs. Today, we’re coming out of stealth" - Brett Adcock @adcock\brett Aug 25 Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the…
1:30 PM ET
Figure
1:30 PM ETFigure
Brett Adcock on X: "Introducing Index
Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world
→ 30min of video uploads/sec
→ 16M video uploads
→ Paid $15M to date
→ 264k downloads
We're committed to spending $1B the next 12 months on data & com… / X
Post Log in Sign up Post Brett Adcock on X: "Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the next 12 months on data & compute" - Brett Adcock @adcock\brett Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the…
1:30 PM ET
Figure
1:30 PM ETFigure
Brett Adcock on X: "Introducing Index
Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world
→ 30min of video uploads/sec
→ 16M video uploads
→ Paid $15M to date
→ 264k downloads
We're committed to spending $1B the next 12 months on data & com… / X
Post Log in Sign up Post Brett Adcock on X: "Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the next 12 months on data & compute" - Brett Adcock @adcock\brett Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the…
1:30 PM ET
Figure
1:30 PM ETFigure
Brett Adcock on X: "Introducing Index
Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world
→ 30min of video uploads/sec
→ 16M video uploads
→ Paid $15M to date
→ 264k downloads
We're committed to spending $1B the next 12 months on data & com… / X
Post Log in Sign up Post Brett Adcock on X: "Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the next 12 months on data & compute" - Brett Adcock @adcock\brett Introducing Index Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world → 30min of video uploads/sec → 16M video uploads → Paid $15M to date → 264k downloads We're committed to spending $1B the…
1:30 PM ET
Figure
1:30 PM ETFigure
Figure on X: "Introducing Index
Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots
To date we've crossed 264,000 app downloads and uploaded 16 million videos" / X
Post Log in Sign up Post Figure on X: "Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos" - Figure @Figure\robot Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos 00:00 View media 1:30 PM · Aug 25, 2026525.5KViews 181 345 3.6K 872 - Figure @Figure\robot Aug 25 The data needed to scale…
1:30 PM ET
Figure
1:30 PM ETFigure
Figure on X: "Introducing Index
Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots
To date we've crossed 264,000 app downloads and uploaded 16 million videos" / X
Post Log in Sign up Post Figure on X: "Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos" - Figure @Figure\robot Introducing Index Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots To date we've crossed 264,000 app downloads and uploaded 16 million videos 00:00 View media 1:30 PM · Aug 25, 2026525.5KViews 181 345 3.6K 872 - Figure @Figure\robot Aug 25 The data needed to scale…
1:21 PM ET
Skild
1:21 PM ETSkild
@TheHumanoidHub on X
Show it a single human demonstration of a long-horizon task and the robot performs it right away. No fine-tuning, no retraining. Skild has released S1, a robot foundation model where you specify the task with a video demonstration instead of a language instruction. Why video, not language Language works for "hand me the mug." It falls apart for anything delicate or long-horizon. You don't learn to fold a fitted sheet from a sentence. So S1 takes a video demo into its context window and translates it to its own body and scene. What it does - Tasks up to 10 minutes, dozens of sequential steps -…
1:19 PM ET
Skild AI
1:19 PM ETSkild AI
Skild AI on X: "We found that to match the accuracy that S1 can achieve with just one example of prompting, current VLA models would need to be post-trained with 50-100 hours of data collection followed by fine-tuning!" / X
Post Log in Sign up Post Skild AI on X: "We found that to match the accuracy that S1 can achieve with just one example of prompting, current VLA models would need to be post-trained with 50-100 hours of data collection followed by fine-tuning!" - Skild AI @SkildAI Aug 25 Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning: 00:00 View media 427 1K 7.1K 3.4M - Skild AI @SkildAI Aug 25 It can be taught…
1:19 PM ET
@SkildAI
1:19 PM ET@SkildAI
@SkildAI on X
Compared to conventional VLAs, S1 is a step-change improvement. For known tasks, S1 can match the performance of language-prompted VLAs. For novel tasks, S1 exponentially outperforms any existing language-prompted VLAs as we scale the pre-training. We believe this is a promising direction towards establishing scaling laws for robotics.
1:19 PM ET
Skild AI
1:19 PM ETSkild AI
Skild AI on X: "S1 learns new tasks like a language model.
You prompt it with a video demonstration, and it outputs robot actions to complete the task in any environment and in any embodiment." / X
Post Log in Sign up Post Skild AI on X: "S1 learns new tasks like a language model. You prompt it with a video demonstration, and it outputs robot actions to complete the task in any environment and in any embodiment." - Skild AI @SkildAI Aug 25 Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning: 00:00 View media 427 1K 7.1K 3.4M - Skild AI @SkildAI Aug 25 It can be taught extremely long-horizon tasks,…
1:19 PM ET
Skild AI
1:19 PM ETSkild AI
Skild AI on X: "The first time S1 flipped a pancake, we assumed pancake flipping must have been in its pre-training data.
We searched our whole pre-training data and found no examples of flipping.
S1 inferred the out-of-distribution task from one video prompt." / X
Post Log in Sign up Post Skild AI on X: "The first time S1 flipped a pancake, we assumed pancake flipping must have been in its pre-training data. We searched our whole pre-training data and found no examples of flipping. S1 inferred the out-of-distribution task from one video prompt." - Skild AI @SkildAI Aug 25 Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning: 00:00 View media 427 1K 7.1K 3.4M - Skild…
1:19 PM ET
Skild AI
1:19 PM ETSkild AI
Skild AI on X: "Introducing S1, our new foundation model that learns from one example.
It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning.
Watch S1 operate in real-time via in-context learning:" / X
Post Log in Sign up Post Skild AI on X: "Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning:" - Skild AI @SkildAI Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning: 00:00 View media 1:19 PM · Aug 25, 20263.4MViews 427…
1:19 PM ET
Skild AI
1:19 PM ETSkild AI
Skild AI on X: "Introducing S1, our new foundation model that learns from one example.
It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning.
Watch S1 operate in real-time via in-context learning:" / X
Post Log in Sign up Post Skild AI on X: "Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning:" - Skild AI @SkildAI Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning: 00:00 View media 1:19 PM · Aug 25, 20263.4MViews 427…
1:18 PM ET
Skild AI
1:18 PM ETSkild AI
@humanoidsdaily on X
Skild AI's S1 takes a video demonstration as its prompt. No language instruction, no fine-tuning. Show it a task it has never seen, and it gets 66% of the steps right. Describe that same task in words instead, and you get 9%. Prompting a robot with video isn't new. Generalist AI showed it earlier this month, but those runs last seconds. Skild claims S1 is the first to work on 10-minute tasks outside the training distribution. A new task used to mean a hundred hours of teleoperation and a training run. Skild set up a plant potting task at 8:54pm and had the robot running it autonomously 11…
1:16 PM ET
OPOptimi
1:16 PM ETOPOptimi
@elonmusk on X
Megatons to orbit & beyond is a critical piece of the K2 puzzle. The other parts are: massive amounts of solar cell production, AI chip production, millions of humanoid (general purpose) robots and a mass driver on the Moon. My guess is that ~1M Optimi plus ~1GW of solar will constitute the first Von Neumann Probe, a system capable of replicating itself entirely from local materials on any sufficiently large planet or moon. This would enable expansion of civilization throughout the galaxy and reaching K3.
11:07 AM ET
NVIDIA
$NVDA
11:07 AM ETNVIDIA
NVIDIA Announces Jetson Orin Nano 2 Robotics Computer to Redefine Entry-Level Edge AI | NVIDIA Newsroom
NVIDIA Announces Jetson Orin Nano 2 Robotics Computer to Redefine Entry-Level Edge AI August 25, 2026 News Summary: - NVIDIA Jetson Orin Nano 2, a new robotics computer for entry-level edge AI, enables millions of developers worldwide to build robots, delivery and inspection drones, and vision AI systems for frontier physical AI applications. - Jetson Orin Nano 2 delivers 2x the inference performance of its predecessor in the same form factor and consumes 40% less power at the same performance. - More than 3 million developers have built on the NVIDIA robotics stack, with Cognex, Doosan…
10:39 AM ET
@continuumlabs_
10:39 AM ET@continuumlabs_
@continuumlabs_ on X
A robot can learn to perform a task almost perfectly in simulation, then fail when it encounters the real world. That’s the sim-to-real gap. In simulation, everything is controlled: lighting is predictable, surfaces behave consistently, objects have known shapes, and sensors produce clean data. But reality is much messier, a policy that works in a perfectly modeled environment may not generalize when those assumptions break. So how do researchers close the gap? 1️⃣ More realistic simulations Build environments that better capture real-world physics, objects, sensors, and interactions. 2️⃣…
10:05 AM ET
FOFoxglove
10:05 AM ETFOFoxglove
ACTUATE takeaways and inside the FCC bans - by Andra Keay
Robots & Startups Interesting things about robots, robot startups, and the future that's already here. From the epicenter of the robot revolution - Silicon Valley Robotics. By Andra Keay · Over 10,000 subscribers Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Not right now thanks “Andra Keay does a lot of work describing how the development of robotics will shape our future. Her weekly posts are detailed and meticulously written.”...” “Andra Keay does a lot of work describing how the development of robotics…
8:55 AM ET
@spaceandtech_
8:55 AM ET@spaceandtech_
@spaceandtech_ on X
The Unitree G1 humanoid robot can drive a go-kart, controlling the steering wheel and pedals around an indoor track. It can handle tight corners and even perform controlled drifts. Developed with Symbiosis Robotics Direct Perception Control system, the G1 uses vision, body state, and action history to coordinate its movements in real time.
8:01 AM ET
Figure AI
8:01 AM ETFigure AI
Lucian Fogoros on X: "Figure AI's Figure 02 logged 1,250+ hours at BMW Spartanburg loading sheet-metal parts into welding fixtures, achieving 90,000+ parts at over 99% placement accuracy. Agility Robotics Digit accumulated 65,000+ hours across 9 commercial facilities." / X
Post Log in Sign up Post Lucian Fogoros on X: "Figure AI's Figure 02 logged 1,250+ hours at BMW Spartanburg loading sheet-metal parts into welding fixtures, achieving 90,000+ parts at over 99% placement accuracy. Agility Robotics Digit accumulated 65,000+ hours across 9 commercial facilities." - Lucian Fogoros @fogoros Figure AI's Figure 02 logged 1,250+ hours at BMW Spartanburg loading sheet-metal parts into welding fixtures, achieving 90,000+ parts at over 99% placement accuracy. Agility Robotics Digit accumulated 65,000+ hours across 9 commercial facilities. 00:00 View media 8:01 AM · Aug…
5:47 AM ET
XHX-Humanoid
5:47 AM ETXHX-Humanoid
@GordonJohnson19 on X
A robot built by Beijing's X-Humanoid ran 100 meters in 9.39 seconds on Saturday. Bolt's record is 9.58. Elsewhere at those games, robots tripped, came apart, and one caught fire. Everyone is quoting the one that caught fire. That is not the part that matters. This is. China installed roughly 276,000 industrial robots last year. The US installed about 38,000. China's operational stock is roughly 2 million units against our 394,000. Chinese firms shipped something like 80% of the world's humanoids and hold ~85% of the market. Our response, on July 28, was to add foreign-made humanoids to the…
5:31 AM ET
NENEURA
5:31 AM ETNENEURA
NEURA Gym: Physical AI Training and Infrastructure | NEURA
Skip to content The Fastest Path from Human Expertise to Deployable Robot Skills Get in contact \\ \\ The Challenges Facing Industrial Leaders Today Physical AI needs real-world training data: vision, sound, touch, force, spatial awareness. None of it can be sourced online or generated synthetically. With 120,000× less training data than large language models and skilled labor declining, every month without action carries a cost. Download Brochure\\ \\ Lack of Skilled Workforce Experienced operators retire. Their knowledge leaves with them. Deployment Risk on the Floor Untested robots on a…
the most interesting hardware in robotics isn't robots. @sundayrobotics built a skill capture glove so regular people can record chores. proception built a glove for dexterous hand data. UMI turned gripper data collection into a $300 tool. capture devices are the moat.
Skip to main content Exclusive news, data and analytics for financial market professionalsLearn more aboutRefinitiv Item 2 of 2 Unitree CEO Wang Xingxing speaks about capabilities of company’s G1 humanoid robot during the 2026 World Robot Conference, in Beijing, China, August 20, 2026. REUTERS/Maxim Shemetov/File Photo \[2/2\] Unitree CEO Wang Xingxing speaks about capabilities of company’s G1 humanoid robot during the 2026 World Robot Conference, in Beijing, China, August 20, 2026. REUTERS/Maxim Shemetov/File Photo Purchase Licensing Rights, opens new tab - Summary - Companies - Unitree…
8:00 PM ET
Figure
8:00 PM ETFigure
Introducing Index: Building The World’s Largest and Most Diverse Physical Dataset
Introducing Index: Building The World’s Largest and Most Diverse Physical Dataset August 25, 2026 Today we're coming out of stealth with the most diverse robot training dataset ever built. The data needed to scale a truly general purpose robot doesn't exist on the internet - it has to come from the real world: a global sampling of physics captured across every environment on earth. For the last 4 months, we’ve been building a Figure-exclusive pipeline to scale data collection at higher throughputs, with broad diversity and strict quality standards. - While in stealth, we've crossed 264,000…
Hosted By Edmond Jono Hart James (Jingxi) Xu Mene Mazarakis Angela Zhang Manfredi Bernardi Adam 134 Went Akshobhya Gupta, Hannah Tsui and 132 others Contact the Host Report Event AI 🤖🍨 Sundae Robotics 06: V-JEPA 2 & Predicting Physical Intelligence Hosted by Edmond & 6 others Aug 30 Sunday, August 30 2:00 PM - 5:00 PM PDT Register to See Address Atherton, CA Past Event This event ended 2 days ago. Welcome! To join the event, please register below. Request to Join About Event 🤖🍨 Grab a sundae and join Sundae Robotics, a private, invite-only Sunday series bringing together robotics…
4:07 PM ET
XMXPeng Motors
4:07 PM ETXMXPeng Motors
XPeng Motors humanoid robot unit Dogotix raises $900M - The Robot Report
The Robot Report Continue to Site Facebook X LinkedIn Reddit Pinterest Share XPeng’s Dogotix unit is developing the IRON humanoid robot. Source: XPeng Like other global automakers, XPeng Motors is branching into humanoid robots. The electric vehicle manufacturer today said that its Dogotix robotics unit has raised more than $900 million in its initial funding round, bringing its pre-money valuation to $5 billion and post-transaction valuation to more than $6.3 billion. XPeng said it plans to use the investment to further develop hardware and software, collect data, train physical AI models,…
3:50 PM ET
https://x.com/bmontxna
3:50 PM EThttps://x.com/bmontxna
b on X: "@cixliv is it true though that even if we solve manufacturing in the US we will still rely on China for rare earth minerals" / X
Post Log in Sign up Post b on X: "@cixliv is it true though that even if we solve manufacturing in the US we will still rely on China for rare earth minerals" - CIX 🦾 @cixliv Aug 24 I don’t think Americans understand how behind we are in robotics. \- Most “American” humanoids e.g. Figure/Optimus using Chinese parts. \- Not shipping a single bipedal humanoid. \- US is producing small batches of 10-20 for R&D while China is shipping tens of thousands. 111 48 691 77K - b @bmontxna is it true though that even if we solve manufacturing in the US we will still rely on China for rare earth minerals…
1:32 PM ET
https://x.com/seohong_park
1:32 PM EThttps://x.com/seohong_park
Seohong Park on X: "Behavioral cloning mystery
https://t.co/VqxzvcfGSx
I wrote a new blog post about "mysteries" in behavioral cloning that appear with real-world robot data (e.g., overfitting is "good"). I also tried to demystify them and shared my thoughts!" / X
Post Log in Sign up Post Seohong Park on X: "Behavioral cloning mystery https://t.co/VqxzvcfGSx I wrote a new blog post about "mysteries" in behavioral cloning that appear with real-world robot data (e.g., overfitting is "good"). I also tried to demystify them and shared my thoughts!" - Seohong Park @seohong\park Behavioral cloning mystery seohong.me/blog/behaviora… I wrote a new blog post about "mysteries" in behavioral cloning that appear with real-world robot data (e.g., overfitting is "good"). I also tried to demystify them and shared my thoughts! View media 1:32 PM · Aug 24,…
9:15 AM ET
https://x.com/RoboPapers
9:15 AM EThttps://x.com/RoboPapers
RoboPapers on X: "Instead of choosing between training a world model and training a language conditioned robot policy, why not do both? LDA-1B s a new foundation model that is trained on 30,000 hours of human and robot interaction data.
Part of the secret is that LDA-1B jointly learns forward … / X
Post Log in Sign up Post RoboPapers on X: "Instead of choosing between training a world model and training a language conditioned robot policy, why not do both? LDA-1B s a new foundation model that is trained on 30,000 hours of human and robot interaction data. Part of the secret is that LDA-1B jointly learns forward dynamics, action prediction, and visual forecasting, all in a structured DINO latent space which avoids the pitfalls of redundant pixel-level prediction which isn’t necessarily aligned robot action. This approach works on both dexterous hands and simple robot grippers; it also…
9:15 AM ET
@RoboPapers
9:15 AM ET@RoboPapers
@RoboPapers on X
Instead of choosing between training a world model and training a language conditioned robot policy, why not do both? LDA-1B s a new foundation model that is trained on 30,000 hours of human and robot interaction data. Part of the secret is that LDA-1B jointly learns forward dynamics, action prediction, and visual forecasting, all in a structured DINO latent space which avoids the pitfalls of redundant pixel-level prediction which isn’t necessarily aligned robot action. This approach works on both dexterous hands and simple robot grippers; it also generalizes across objects, tasks, and…
4:00 AM ET
ARAxis Robotics
4:00 AM ETARAxis Robotics
@axisrobotics on X
Axis Weekly Last week, we closed the remaining replay and runtime gaps between the browser, policy server, and physics stack — then scaled the coverage of our task generation engine (TaskGen). An articulated asset library is now in the generation path, the full RoboCasa scene grid is online, and a cleaner long- versus short-horizon task split is ready for training and distillation. Key updates: • Replay & runtime: Policy and human-trajectory replay now match the frontend path, with web runtime reaching full replay fidelity. Scene loads faster, and simulation pauses automatically when idle. •…
12:50 AM ET
@TheHumanoidHub
12:50 AM ET@TheHumanoidHub
@TheHumanoidHub on X
Generalist AI just released GEN-1.5. It might be robotics' GPT-3 moment. What is one-shot learning via in-context prompting? In the case of language models like GPT-3, including a Q&A example in the prompt before the actual question improved performance across a broad suite of language tasks. For example: Prompt: "Q: Who wrote Romeo and Juliet? A: William Shakespeare Q: Who wrote War and Peace?" [model outputs "Leo Tolstoy"] Similar capabilities are now emerging in GEN-1.5, where a short example (a few seconds of demonstration ) alongside language and sensory inputs can solve tasks the model…
12:41 PM ET
WLWorld Labs
12:41 PM ETWLWorld Labs
Bringing Marble to Life | World Labs
Nov 12, 2025A behind-the-scenes look at how Marble powered the creation of its own launch story. Bringing Marble to Life World Labs: Just Imagine - YouTube Tap to unmute World Labs: Just Imagine World Labs World Labs5.53K subscribers Overview Copy link to this section When the World Labs team set out to create Marble’s first marketing video, they made a bold decision: to build it with Marble itself. The result was a launch video created using the same technology it introduced. Over the course of a few weeks, hundreds of 3D worlds were imagined, refined, and brought into the stage pipeline.…
12:41 PM ET
PRPromise
12:41 PM ETPRPromise
From Archive to Production: A Hybrid Workflow with Marble | World Labs
Aug 12, 2026How Promise used Marble to transform archival imagery into immersive 3D environments for Harlan Coben’s Final Twist. From Archive to Production: A Hybrid Workflow with Marble Using Hybrid Production to Reconstruct Crime Scenes - YouTube Tap to unmute Using Hybrid Production to Reconstruct Crime Scenes Promise Promise573 subscribers Overview Copy link to this section For Harlan Coben's Final Twist on Paramount+ and CBS, Promise developed a hybrid production workflow that combined World Labs' Marble, AI-assisted image restoration, artist-led environment creation, and virtual…
12:41 PM ET
https://x.com/theworldlabs
12:41 PM EThttps://x.com/theworldlabs
World Labs on X: "Viewing these worlds at full scale on an LED stage is mesmerizing.
From 16K LED volumes to real-time production workflows, here are a few ways Marble is being used in virtual production and VFX ↓" / X
Post Log in Sign up Post World Labs on X: "Viewing these worlds at full scale on an LED stage is mesmerizing. From 16K LED volumes to real-time production workflows, here are a few ways Marble is being used in virtual production and VFX ↓" - World Labs @theworldlabs Viewing these worlds at full scale on an LED stage is mesmerizing. From 16K LED volumes to real-time production workflows, here are a few ways Marble is being used in virtual production and VFX ↓ 00:00 View media 12:41 PM · Aug 20, 202618.7KViews 5 14 110 27 - World Labs @theworldlabs Aug 20 Promise used Marble as part of a hybrid…
12:17 PM ET
GEGeneralistAI
12:17 PM ETGEGeneralistAI
Will Knight on X: "I'm usually wary about talk of "the ChatGPT moment for robots" because language is less complex than the physical world. After visiting @GeneralistAI, though, where I saw their robots perform impressive manipulation with just a prompt, I think you can see it happening in a limite… / X
Post Log in Sign up Post Will Knight on X: "I'm usually wary about talk of "the ChatGPT moment for robots" because language is less complex than the physical world. After visiting @GeneralistAI, though, where I saw their robots perform impressive manipulation with just a prompt, I think you can see it happening in a limited way. (Thanks to @peteflorence and co for having me!) https://t.co/VdsK6jE7rS" - Will Knight @willknight I'm usually wary about talk of "the ChatGPT moment for robots" because language is less complex than the physical world. After visiting @GeneralistAI, though, where I…
12:01 PM ET
NVIDIA
$NVDA
12:01 PM ETNVIDIA
Cosmos 3 Post-Training in Action With Aigen and Linker Vision | Cosmos Labs - Live Broadcast by NVIDIA Robotics / X
\\ \\ REPLAY NVIDIA Robotics @NVIDIARobotics Cosmos 3 Post-Training in Action With Aigen and Linker Vision \| Cosmos Labs Scan to get the app
12:00 PM ET
https://x.com/Majumdar_Ani
12:00 PM EThttps://x.com/Majumdar_Ani
Anirudha Majumdar on X: "Very cool work, Pete! I'm curious if you've tried an extreme version of this: no in-context example at all; just place objects in front of the robot and see if it can infer the task.
I suspect this will have non-trivial success rates, which would also allow you to figure … / X
Post Log in Sign up Post Anirudha Majumdar on X: "Very cool work, Pete! I'm curious if you've tried an extreme version of this: no in-context example at all; just place objects in front of the robot and see if it can infer the task. I suspect this will have non-trivial success rates, which would also allow you to figure out how much of the benefit is actually coming from the prompt (rather than pure zero-shot task inference + capability). I remember Russ showed something like this in his Stanford talk on LBMs last year: https://t.co/0hEBrVlfOQ" - Pete Florence @peteflorence Aug 19 Ever since…
11:48 AM ET
@DrJimFan
11:48 AM ET@DrJimFan
@DrJimFan on X
Seeing a hype wave around GEN-1.5, and rightfully so. Lots of respect to Pete & Andy for executing so well. The secret is in the naturally repetitive motions in human-collected data. There're 2 main sources for such repetitions: (1) Symmetric patterns. Sorting, tidying, and assembling almost never finish in one motion. Open any assembly manual from IKEA, and you find most objects symmetrical. You drive one bolt, then its twin, then the next pair. Every {bolt A, bolt B} pair is a natural continuation in context, and the second instance is a free training signal that imitates the first…
11:13 AM ET
DADandy
11:13 AM ETDADandy
Jason Shuman on X: "Too many Physical AI founders are obsessed with the technology.
The team at Dandy is obsessed with the outcome.
Over the last 18 months, Dandy has become a leading Physical AI business that is delivering the highest quality crowns at industry leading prices.
And under the h… / X
Post Log in Sign up Post Jason Shuman on X: "Too many Physical AI founders are obsessed with the technology. The team at Dandy is obsessed with the outcome. Over the last 18 months, Dandy has become a leading Physical AI business that is delivering the highest quality crowns at industry leading prices. And under the hood the technology breakthroughs are insane 1\. AI Crown Design - the team built their own model from scratch to drive down the cost of design and improve design accuracy that has led to industry leading remake rates 2\. Automated Nesting Technology - Maximizes their yield on CNC…
10:55 AM ET
Figure
10:55 AM ETFigure
Nova on X: "This was few months ago. I wonder how capable they are now 👀🤖 @figureonsol @Figure_robot @adcock_brett" / X
Post Log in Sign up Post Nova on X: "This was few months ago. I wonder how capable they are now 👀🤖 @figureonsol @Figure\robot @adcock\brett" - Nova @Nova57236068 This was few months ago. I wonder how capable they are now 👀🤖 @figureonsol @Figure\robot @adcock\brett CyberRobo @CyberRobooo Feb 1 Figure Helix's Evolution:From half-body to whole -body Figure03, powered by Helix 2, is more like a household helper. In a kitchen space, it neatly organizes cups, bowls, and plates from top to bottom, left to right, from drawers to cupboards, cabinets, and sinks. These long Show more 00:00 View…
9:54 AM ET
FRFlexion Robotics
9:54 AM ETFRFlexion Robotics
@spaceandtech_ on X
Humanoid robots often struggle with tasks that involve many steps and require them to recover from mistakes. Flexion Robotics developed Reflect V1.0, a robotics intelligence platform designed to help robots complete complex tasks autonomously without a human operator. It combines AI for perception, planning, motion control, and reinforcement learning to help robots understand situations, take action, recover from errors, and improve over time.
7:00 AM ET
https://www.facebook.com/48576411181
7:00 AM EThttps://www.facebook.com/48576411181
Ability Neurotech Infrared BCI to Begin Human Trials - IEEE Spectrum
IEEE.org IEEE Xplore IEEE Standards IEEE Job Site More Sites Sign In Join IEEE The September issue of IEEE Spectrum is here! Download PDF ↓ Close bar Return to homepage Brain Implant Uses Infrared Light to Send Neural Signals Share FOR THE TECHNOLOGY INSIDER Search: Explore by topic Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics Semiconductors Telecommunications Transportation IEEE Spectrum FOR THE TECHNOLOGY INSIDER Topics Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics…
7:00 AM ET
https://www.facebook.com/48576411181
7:00 AM EThttps://www.facebook.com/48576411181
Ability Neurotech Infrared BCI to Begin Human Trials - IEEE Spectrum
IEEE.org IEEE Xplore IEEE Standards IEEE Job Site More Sites Sign In Join IEEE The September issue of IEEE Spectrum is here! Download PDF ↓ Close bar Return to homepage Brain Implant Uses Infrared Light to Send Neural Signals Share FOR THE TECHNOLOGY INSIDER Search: Explore by topic Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics Semiconductors Telecommunications Transportation IEEE Spectrum FOR THE TECHNOLOGY INSIDER Topics Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics…
4:24 AM ET
BRBooster Robotics
4:24 AM ETBRBooster Robotics
Booster Robotics on X: "Excited to see our work featured in Science Robotics.
This research explores a new vision-driven controller for humanoid soccer, tested on Booster Robotics’ humanoid robots in real-world competitive settings.
From research to the field, we’re pushing humanoid soccer forwa… / X
Post Log in Sign up Post Booster Robotics on X: "Excited to see our work featured in Science Robotics. This research explores a new vision-driven controller for humanoid soccer, tested on Booster Robotics’ humanoid robots in real-world competitive settings. From research to the field, we’re pushing humanoid soccer forward." - Booster Robotics @boosterobotics Excited to see our work featured in Science Robotics. This research explores a new vision-driven controller for humanoid soccer, tested on Booster Robotics’ humanoid robots in real-world competitive settings. From research to the field,…
4:14 AM ET
ARAXIS ROBOTICS
4:14 AM ETARAXIS ROBOTICS
FAQ | AXIS ROBOTICS
01Getting Started16 What do I need to use Axis Hub? A modern browser (Chrome, Firefox, Safari, or Edge) on a desktop or laptop. No GPU, no downloads, no special hardware. The physics engine — MuJoCo, compiled to WebAssembly — runs locally in your browser. How do I create an account? Sign up through Privy — you can use your email, Google account, X (Twitter), or connect an existing wallet. If you don't have a wallet, Privy creates one for you automatically. See Getting Started. What is the Axis Hub wallet? A custodial wallet created for you automatically by Privy when you sign up, so you don't…
3:33 AM ET
MEMecka
3:33 AM ETMEMecka
Mecka — The Data Engine for Physical AI
Document Index✕ - 01 Meet Mecka - 02 The Challenge - 03 The Mecka Loop - 04 Signal & Action Primitives - 05 Platform & Egoverse - 06 Contact - 07 FAQ - → Careers 01 /Telemetryreal-world sensorfusion02 /Locomotionbase rotation · J103 /Kinematicslink pose & trajectory04 /Degrees of Freedom6-axis articulation05 /Motion Capturejoint-angle telemetry06 /Contact Datagrasp · force ·tactile FIG.01 Robotics Operations Unit mecka The data and deployment layer for physical AI. FortuneWe raised $60M to power robot learning data ▶ Launch FilmWatch the Mecka launch film EgoverseAn ecosystem for robot…
1:58 AM ET
ARAxis Robotics
1:58 AM ETARAxis Robotics
Axis Robotics on X: "Finally, we’ve made it into the Top 3 DApps on @Base.
Base is the hub for Physical AI. 🤖" / X
Post Log in Sign up Post Axis Robotics on X: "Finally, we’ve made it into the Top 3 DApps on @Base. Base is the hub for Physical AI. 🤖" - Axis Robotics @axisrobotics Finally, we’ve made it into the Top 3 DApps on @base. Base is the hub for Physical AI. 🤖 View media 1:58 AM · Aug 20, 202653.5KViews 233 72 690 15 - PL 漂亮 (✱,✱) @plpiaoliang Aug 20 wen top 1 4 12 328 - Base APAC @baseapac Aug 20 👀 1 10 126 - 🟠Fycee (✱,✱) \| CryptitaPlays🛸 @EironFycee Aug 20 Oh gosh! This is awesome news! Proud @axisroboticsPh lead here! Reply 4 178 Scan to get the app
3:40 PM ET
GAGeneralist AI
3:40 PM ETGAGeneralist AI
Generalist on X: "Or when fine-tuned to place a block into a bowl, it can clear obstacles (like a piece of paper covering the bowl) to complete the task, despite that not being in the demonstrations." / X
Post Log in Sign up Post Generalist on X: "Or when fine-tuned to place a block into a bowl, it can clear obstacles (like a piece of paper covering the bowl) to complete the task, despite that not being in the demonstrations." - Generalist @GeneralistAI Aug 19 Introducing GEN-1.5, a one-shot learner. It can learn new tasks in a few seconds. Show it what to do, and it generalizes. This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general intelligence for the physical world. 00:00 View media 313 1.7K 12K 3.4M - Generalist @GeneralistAI…
3:40 PM ET
GAGeneralist AI
3:40 PM ETGAGeneralist AI
Generalist on X: "GEN-1.5, our latest embodied foundation model, can learn new tasks prompted with 3 - 12 seconds of a single demonstration, no gradient updates or fine-tuning. It generalizes prompts to new situations, recovers from mistakes, and improvises new strategies to reach the same goal." / X
Post Log in Sign up Post Generalist on X: "GEN-1.5, our latest embodied foundation model, can learn new tasks prompted with 3 - 12 seconds of a single demonstration, no gradient updates or fine-tuning. It generalizes prompts to new situations, recovers from mistakes, and improvises new strategies to reach the same goal." - Generalist @GeneralistAI Aug 19 Introducing GEN-1.5, a one-shot learner. It can learn new tasks in a few seconds. Show it what to do, and it generalizes. This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general…
12:00 PM ET
NVIDIA
$NVDA
12:00 PM ETNVIDIA
Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control | NVIDIA Technical Blog
Technical Blog Subscribe Related Resources Robotics Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control Aug 19, 2026 By Saeed Babamohamadi +12 Like Discuss (0) - L - T - F - R - E AI-Generated Summary - NVIDIA Jetson Thor can run the 4B Cosmos 3 Edge omni-model natively for on-device robot manipulation policies. - Post-training Cosmos 3 Edge on the Cosmos3-DROID dataset produces a policy that generates action chunks in about 1.53 seconds on Jetson AGX Thor T5000, enabling continuous real-time control. - In closed-loop RoboLab evaluation, the post-trained Edge policy reaches 22.9%…
11:40 AM ET
PRPrismaX
11:40 AM ETPRPrismaX
Nick Rotenberg on X: "📢 Why Human Expertise Matters
When I first discovered @PrismaXai it wasn't just the robots that attracted me.
I was intrigued by the idea that people from anywhere in the world could help train them.
Physical AI needs more than just powerful hardware. It needs human experti… / X
Post Log in Sign up Post Nick Rotenberg on X: "📢 Why Human Expertise Matters When I first discovered @PrismaXai it wasn't just the robots that attracted me. I was intrigued by the idea that people from anywhere in the world could help train them. Physical AI needs more than just powerful hardware. It needs human expertise, precise demonstrations, and people who understand what good robot behavior looks like. Humans Are Still Part of the Process A robot can perform an action. ▪️ But how do we know if that action was actually correct? ▪️ Was the object placed properly? ▪️ Was the movement…
9:57 PM ET
Unitree Robotics
9:57 PM ETUnitree Robotics
Unitree Robotics surges 629% to US$66 billion valuation in Shanghai share debut | South China Morning Post
Edition: International SUBSCRIBE Get unlimited access to the SCMP HIGHLIGHTS Donald Trump’s China policy\\ NEW US-China relations Hong Kong economy News Hong Kong China Economy Asia World Sport This Week in Asia US Elections Business & Tech Business Tech Opinion Latest Lifestyle Lifestyle People & Culture Style PostMag K-pop Outdoor Cooking More + Video Talking Post SCMP Films Infographics Pictures Podcasts SCMP Series Explained SCMP Spotlight Newsletters Special Reports Games Topics US-China relations Artificial intelligence (AI) Donald Trump’s China policy SpaceX Fifa World Cup 2026 Nvidia…
8:00 PM ET
Skild AI
8:00 PM ETSkild AI
Introducing S1: In-Context Learning for Robotics | Skild AI
0:00 / 0:00 1× Introducing S1: In-Context Learning for Robotics Unseen tasks10-minute horizonsOne video promptNo post-training 13-minute read Contents Introduction Why In-Context Learning for Robotics? S1: An In-Context Learner What does S1 learn from context? The Data Engine S1 In Action Seen tasks Long-horizon unseen tasks ICL scaling laws Emergent Properties Robustness and common-sense behavior Quantifying ICL robustness to distribution shifts ICL demonstration efficiency Closing Remarks References Citation Introduction The evolution of language modeling provides a blueprint for turning…
8:00 PM ET
Skild AI Team
8:00 PM ETSkild AI Team
Introducing S1: In-Context Learning for Robotics | Skild AI
0:00 / 0:00 1× Introducing S1: In-Context Learning for Robotics Unseen tasks10-minute horizonsOne video promptNo post-training 13-minute read Contents Introduction Why In-Context Learning for Robotics? S1: An In-Context Learner What does S1 learn from context? The Data Engine S1 In Action Seen tasks Long-horizon unseen tasks ICL scaling laws Emergent Properties Robustness and common-sense behavior Quantifying ICL robustness to distribution shifts ICL demonstration efficiency Closing Remarks References Citation Introduction The evolution of language modeling provides a blueprint for turning…
10:00 AM ET
https://www.facebook.com/48576411181
10:00 AM EThttps://www.facebook.com/48576411181
AME Agent Swarms Quietly Rewrite the Workflow - IEEE Spectrum
IEEE.org IEEE Xplore IEEE Standards IEEE Job Site More Sites Sign In Join IEEE Return to homepage From AI Copilots to Agent Swarms Share FOR THE TECHNOLOGY INSIDER Search: Explore by topic Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics Semiconductors Telecommunications Transportation IEEE Spectrum FOR THE TECHNOLOGY INSIDER Topics Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics Semiconductors Telecommunications Transportation Sections Features News Opinion Careers DIY…
10:21 PM ET
NVIDIA
$NVDA
10:21 PM ETNVIDIA
NVIDIA on X: "Great to welcome @LGE_Global Group Chairman Kwang-mo Koo and LG leaders to NVIDIA as we enter the next chapter of our collaboration.
Together, we’re expanding our work across AI infrastructure, physical AI and robotics.
We’re excited about what our teams can build together." / X
Post Log in Sign up Post NVIDIA on X: "Great to welcome @LGE\Global Group Chairman Kwang-mo Koo and LG leaders to NVIDIA as we enter the next chapter of our collaboration. Together, we’re expanding our work across AI infrastructure, physical AI and robotics. We’re excited about what our teams can build together." - NVIDIA @nvidia Great to welcome @LGE\Global Group Chairman Kwang-mo Koo and LG leaders to NVIDIA as we enter the next chapter of our collaboration. Together, we’re expanding our work across AI infrastructure, physical AI and robotics. We’re excited about what our teams can build…
10:36 AM ET
Figure
10:36 AM ETFigure
Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
Post Log in Sign up Post - Theo Gage @realtheogg 3 Billion Humanoid Robots Could Exist. The Question Nobody Is Asking Is Where They’ll Live. Bank of America thinks the world will have 3 billion humanoid robots by 2060 Read that again. Not 3 million. Not 30 million. Three billion — more than the roughly 1.5 billion cars currently on Earth, on a per-capita basis. The obvious reaction: why would humanity ever need that many? Here's why the forecast isn't as crazy as it sounds. BofA's analysts don't frame this as science fiction. They frame it as a demographics problem — aging populations in…
1:23 AM ET
Tesla
$TSLA
1:23 AM ETTesla
Alternate Jones on X: "FWIW, I asked Grok 4.5 and Fable 5 the following: If a company first develops digital ASI and then uses it to engineer general-purpose humanoid robots, which company would be easier to disrupt: Tesla or SpaceX?
Grok 4.5 (Expert): **Tesla is easier to disrupt.**
An ASI-first… / X
Post Log in Sign up Post Alternate Jones on X: "FWIW, I asked Grok 4.5 and Fable 5 the following: If a company first develops digital ASI and then uses it to engineer general-purpose humanoid robots, which company would be easier to disrupt: Tesla or SpaceX? Grok 4.5 (Expert): \\Tesla is easier to disrupt.\\ An ASI-first company that then uses that intelligence to design and produce superior general-purpose humanoid robots has a much more direct, higher-leverage attack surface against Tesla than against SpaceX. The difference comes down to domain physics, regulatory/infrastructure scarcity,…
2:00 AM ET
1X
2:00 AM ET1X
Melvin Schwarz on X: "We deployed humanoid robots into a real factory in under 90 days!
Today, we are coming out of stealth with Nucleus.
Our team previously worked on some of robotics’ toughest challenges at 1X, Foundation,
NEURA, Agile Robots, CERN and ESA.
We have come together because Europ… / X
Post Log in Sign up Post Melvin Schwarz on X: "We deployed humanoid robots into a real factory in under 90 days! Today, we are coming out of stealth with Nucleus. Our team previously worked on some of robotics’ toughest challenges at 1X, Foundation, NEURA, Agile Robots, CERN and ESA. We have come together because Europe is losing its ability to compete. Reversing that requires abundant, affordable physical labor. But we see that current approaches to get there might not be fast enough. That's why we deploy before full autonomy, using large-scale supervision and AI agents to make our fleet…
8:00 PM ET
NVIDIA
$NVDA
8:00 PM ETNVIDIA
Hydra-0: Action Flow for Generalist World Modeling and Control | NVIDIA Isaac
Overview video Figure 1: Action flow as a shared control interface. Top: Hydra-0 learns from diverse interaction videos featuring egocentric human demonstrations, handheld UMI grippers, bimanual robot arms, and single-arm robots. Middle: Visible embodiment motion is represented as image-plane flow trajectories, placing heterogeneous interactions in a common, pixel-aligned action flow space independent of embodiment-specific joint or end-effector coordinates. This unified interface enables a single generalist world model to learn from multi-embodiment data and transfer across interaction…
8:00 PM ET
BMW Group
8:00 PM ETBMW Group
Press-Information June 25th 2026
Press-Information June 25th 2026 BMW Group advances the use of Physical AI in production with Figure 03 project in Spartanburg - Figure AI demonstrates Figure 03 humanoid robots in new use case at BMW Group Plant Spartanburg. - Robot development runs in parallel at BMW Group Plant Spartanburg and at Figure AI. - Assembly Hall in Spartanburg features BMW iFACTORY applications in artificial intelligence and virtualization. Munich/Spartanburg, USA. BMW Group intensifies the usage of digitalization and the use of artificial intelligence (AI) in production. With so-called Physical AI, which…
4:01 PM ET
NVIDIA
$NVDA
4:01 PM ETNVIDIA
5 Physical AI infrastructure platforms shaping robotics in 2026 - The Robot Report
Facebook X LinkedIn Reddit Pinterest Share From accelerated computing and simulation to data operations, open-source tooling, validation engineering, and continuous learning, these five platforms represent distinct control points in the emerging physical AI stack. For most of the modern AI boom, infrastructure had a single center of gravity: compute. Models grew larger, training runs consumed more GPUs, and the industry organized itself around accelerators, cloud clusters, training frameworks, and developer software. That stack was sufficient when AI’s outputs were text, images, video, or…
4:01 PM ET
NVIDIA
$NVDA
4:01 PM ETNVIDIA
5 Physical AI infrastructure platforms shaping robotics in 2026 - The Robot Report
Facebook X LinkedIn Reddit Pinterest Share From accelerated computing and simulation to data operations, open-source tooling, validation engineering, and continuous learning, these five platforms represent distinct control points in the emerging physical AI stack. For most of the modern AI boom, infrastructure had a single center of gravity: compute. Models grew larger, training runs consumed more GPUs, and the industry organized itself around accelerators, cloud clusters, training frameworks, and developer software. That stack was sufficient when AI’s outputs were text, images, video, or…
12:00 PM ET
Google DeepMind
$GOOGL
12:00 PM ETGoogle DeepMind
Gemini Robotics 2 brings whole body intelligence to robots — Google DeepMind
Skip to main content July 30, 2026 Models Gemini Robotics 2 brings whole body intelligence to robots Carolina Parada Share Your browser does not support the video tag. From feet to fingertips — we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Now, that vision takes a significant stride forward. Most robots are pre-programmed or teleoperated for narrow, repetitive task sequences. They lack the ability to truly learn for…
12:00 PM ET
Google DeepMind
$GOOGL
12:00 PM ETGoogle DeepMind
Gemini Robotics 2 brings whole body intelligence to robots — Google DeepMind
Skip to main content July 30, 2026 Models Gemini Robotics 2 brings whole body intelligence to robots Carolina Parada Share Your browser does not support the video tag. From feet to fingertips — we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Now, that vision takes a significant stride forward. Most robots are pre-programmed or teleoperated for narrow, repetitive task sequences. They lack the ability to truly learn for…
1:45 PM ET
BMW Group
1:45 PM ETBMW Group
BMW Group deploys Figure 03
The Robot Report Continue to Site Facebook X LinkedIn Reddit Pinterest Share Figure 03 adds tactile-sensor hands, palm cameras, wireless charging, and speech-to-speech audio over its predecessor. \| Source: BMW Group BMW Group is doubling down on its deployment of Figure.AI’s humanoid robots. The automaker last week announced that, following its successful deployment with Figure 02 at its plant in Spartanburg, S.C., it will deploy the company’s latest Figure 03 robot. “Plant Spartanburg is the birthplace of humanoid robotics in BMW Manufacturing’s operational day-to-day activities,” said…
9:57 PM ET
https://x.com/Sylviaposts
9:57 PM EThttps://x.com/Sylviaposts
Sylvia Li on X: "Spent the day at Deep Tech Week and left with one strong conviction:
the next wave of AI will not be won only by better models.
It will be won by the infrastructure that lets intelligence touch the physical world.
For anyone building in robotics, chips, manufacturing, energy, or… / X
Post Log in Sign up Post Sylvia Li on X: "Spent the day at Deep Tech Week and left with one strong conviction: the next wave of AI will not be won only by better models. It will be won by the infrastructure that lets intelligence touch the physical world. For anyone building in robotics, chips, manufacturing, energy, or physical AI, this feels increasingly obvious. Physical AI is not just an AI problem. It is a data problem, a hardware problem, a deployment problem, and a feedback-loop problem. ChatGPT had the browser. Robotics still does not have a universal distribution layer. For robot…
8:00 PM ET
Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
8:00 PM ETJoseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
Coupled Local and Global World Models for Efficient First Order RL
Real-world tasks solved zero-shot by policies trained entirely inside our learned world models: Push-T with a tabletop manipulator (left), Ego-Centric Grasp and Lift with a G1 humanoid (centre), and Ego-Centric Push Cube with a Go2 quadruped (right). Abstract World models offer a promising avenue for capturing complex environment dynamics where simulators face challenges. However, large-scale world models required for complex real-world settings are computationally expensive to adopt in popular RL approaches. We introduce a novel first-order RL method that enables policy training via a…
8:00 PM ET
Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
8:00 PM ETJoseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
Coupled Local and Global World Models for Efficient First Order RL
Real-world tasks solved zero-shot by policies trained entirely inside our learned world models: Push-T with a tabletop manipulator (left), Ego-Centric Grasp and Lift with a G1 humanoid (centre), and Ego-Centric Push Cube with a Go2 quadruped (right). Abstract World models offer a promising avenue for capturing complex environment dynamics where simulators face challenges. However, large-scale world models required for complex real-world settings are computationally expensive to adopt in popular RL approaches. We introduce a novel first-order RL method that enables policy training via a…
8:00 PM ET
Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
8:00 PM ETJoseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
Coupled Local and Global World Models for Efficient First Order RL
Real-world tasks solved zero-shot by policies trained entirely inside our learned world models: Push-T with a tabletop manipulator (left), Ego-Centric Grasp and Lift with a G1 humanoid (centre), and Ego-Centric Push Cube with a Go2 quadruped (right). Abstract World models offer a promising avenue for capturing complex environment dynamics where simulators face challenges. However, large-scale world models required for complex real-world settings are computationally expensive to adopt in popular RL approaches. We introduce a novel first-order RL method that enables policy training via a…
1:00 AM ET
ALAMI Labs
1:00 AM ETALAMI Labs
Yann LeCun's AMI Labs raises $1.03B to build world models | TechCrunch
Checking your Browser… Verifying... Stuck? Troubleshoot Success! Verification failed Troubleshoot Verification expired Refresh Verification expired Refresh Troubleshoot Cloudflare, opens in a new tab Privacy • Help ababababababababababababcdcdcdcdcdcdcdcdcdcdcdcd efefefefefefefefefefefefghghghghghghghghghghghgh ijijijijijijijijijijijijklklklklklklklklklklklkl Skip to content Image Credits: Ruhani Kaur/Bloomberg via Getty Images / Getty Images AI Share on FacebookShare on XShare on LinkedInShare on RedditShare over EmailCopy Share Link Yann LeCun’s AMI Labs raises $1.03B to build world models…
1:00 AM ET
ALAMI Labs
1:00 AM ETALAMI Labs
Yann LeCun's AMI Labs raises $1.03B to build world models | TechCrunch
Checking your Browser… Verifying... Stuck? Troubleshoot Success! Verification failed Troubleshoot Verification expired Refresh Verification expired Refresh Troubleshoot Cloudflare, opens in a new tab Privacy • Help ababababababababababababcdcdcdcdcdcdcdcdcdcdcdcd efefefefefefefefefefefefghghghghghghghghghghghgh ijijijijijijijijijijijijklklklklklklklklklklklkl Skip to content Image Credits: Ruhani Kaur/Bloomberg via Getty Images / Getty Images AI Share on FacebookShare on XShare on LinkedInShare on RedditShare over EmailCopy Share Link Yann LeCun’s AMI Labs raises $1.03B to build world models…
6:29 PM ET
https://x.com/randallmbriggs
6:29 PM EThttps://x.com/randallmbriggs
Randall Briggs on X: "https://t.co/Qnqls6fiQn" / X
Post Log in Sign up Post - Randall Briggs @randallmbriggs When Everyone Gets to Live like a Billionaire I was inspired to write this article by Aaron Levie’s recent piece titled Jevons Paradox for Knowledge Work where he describes how AI is making it possible for every small business and startup to have access to the same high-quality non-deterministic knowledge work as a Fortune 500 company. If you have not yet read his article, I highly recommend that you do so before coming back to this vision for the future. I believe that humanoid robots will do the same thing in the realm of physical…
3:57 PM ET
Skild AI
3:57 PM ETSkild AI
Skild AI on X: "We built a robot brain that nothing can stop.
Shattered limbs? Jammed motors? If the bot can move, the Brain will move it— even if it’s an entirely new robot body.
Meet the omni-bodied Skild Brain:" / X
Post Log in Sign up Post Skild AI on X: "We built a robot brain that nothing can stop. Shattered limbs? Jammed motors? If the bot can move, the Brain will move it— even if it’s an entirely new robot body. Meet the omni-bodied Skild Brain:" - Skild AI @SkildAI We built a robot brain that nothing can stop. Shattered limbs? Jammed motors? If the bot can move, the Brain will move it— even if it’s an entirely new robot body. Meet the omni-bodied Skild Brain: 00:00 View media 3:57 PM · Sep 24, 20252.4MViews 502 856 6.7K 2.2K - Skild AI @SkildAI Sep 24, 2025 The Skild Brain can control any machine…
10:24 AM ET
Boston Dynamics
10:24 AM ETBoston Dynamics
An Electric New Era for Atlas | Boston Dynamics
We value your privacy We use cookies to enhance your browsing experience, serve personalized ads or content, and analyze our traffic. By clicking "Accept All", you consent to our use of cookies. CustomizeReject AllAccept All Customize Consent Preferences We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below. The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... Show more…
11:00 AM ET
<a href=
11:00 AM ET<a href=
Leveraging Compositionality for One-Shot Imitation Learning | SAIL Blog
De-An Huang, Danfei Xu" /> Leveraging Compositionality for One-Shot Imitation Learning \| The Stanford AI Lab Blog Leveraging Compositionality for One-Shot Imitation Learning De-An Huang, Danfei Xu May 6, 2020 How do you teach a robot to pack your groceries into different boxes? While modern industrial robots are incredibly capable and precise, they require tremendous expertise to program and are designed to execute the exact same motion millions of times. Trying to program a robot to be able to pick up any kind of groceries, each with different characteristics, geometries, and weight, and…
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Physical Intelligence
—Physical Intelligence
Physical-Intelligence/openpi
# openpi openpi holds open-source models and packages for robotics, published by the [Physical Intelligence team](https://www.physicalintelligence.company/). Currently, this repo contains three types of models: - the [π₀ model](https://www.physicalintelligence.company/blog/pi0), a flow-based vision-language-action model (VLA). - the [π₀-FAST model](https://www.physicalintelligence.company/research/fast), an autoregressive VLA, based on the FAST action tokenizer. - the [π₀.₅ model](https://www.physicalintelligence.company/blog/pi05), an upgraded version of π₀ with better open-world…
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SUStanford University
—SUStanford University
OpenVLA:
OpenVLA: An Open-Source Vision-Language-Action Model Moo Jin Kim∗,1 Karl Pertsch∗,1,2 Siddharth Karamcheti∗,1,3 Ted Xiao4 Ashwin Balakrishna3 Suraj Nair3 Rafael Rafailov1 Ethan Foster1 Grace Lam Pannag Sanketi4 Quan Vuong5,† Thomas Kollar3 Benjamin Burchfiel3 Russ Tedrake3,6 Dorsa Sadigh1 Sergey Levine2 Percy Liang1 Chelsea Finn1 https://openvla.github.io970k Robot Episodes ViT Llama 2 7B Base VLM OpenVLA Vision-Language-Action Model Fine-tune VLM w/ Robot Actions: Closed-Loop Robot Control Policy User: Wipe the table. OpenVLA: [ x, , Grip] = …Δ Δθ Δ Multi-Robot Control & Efficient…
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PRPromise
—PRPromise
From Archive to Production: A Hybrid Workflow with Marble | World Labs
Aug 12, 2026How Promise used Marble to transform archival imagery into immersive 3D environments for Harlan Coben’s Final Twist. From Archive to Production: A Hybrid Workflow with Marble Using Hybrid Production to Reconstruct Crime Scenes - YouTube Tap to unmute Using Hybrid Production to Reconstruct Crime Scenes Promise Promise573 subscribers Overview Copy link to this section For Harlan Coben's Final Twist on Paramount+ and CBS, Promise developed a hybrid production workflow that combined World Labs' Marble, AI-assisted image restoration, artist-led environment creation, and virtual…
π0: A Vision-Language-Action Flow Model for General Robot Control Physical Intelligence Kevin Black, Noah Brown, Danny Driess, Adnan Esmail, Michael Equi, Chelsea Finn, Niccolo Fusai, Lachy Groom, Karol Hausman, Brian Ichter, Szymon Jakubczak, Tim Jones, Liyiming Ke, Sergey Levine, Adrian Li-Bell, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Lucy Xiaoyang Shi, James Tanner, Quan Vuong, Anna Walling, Haohuan Wang, Ury Zhilinsky https://physicalintelligence.company/blog/pi0 # ! 2/ . () /) , && 0'% ) 8:: ! 7 2/ . () /) ' GG ) Z)0./ GSO/, SG L ./O/ ), G mlhg / % (' (G 0 / )S/,G% y&/%,) p . n 2.G .…
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WLWorld Labs
—WLWorld Labs
Bringing Marble to Life | World Labs
Nov 12, 2025A behind-the-scenes look at how Marble powered the creation of its own launch story. Bringing Marble to Life World Labs: Just Imagine - YouTube Tap to unmute World Labs: Just Imagine World Labs World Labs5.53K subscribers Overview Copy link to this section When the World Labs team set out to create Marble’s first marketing video, they made a bold decision: to build it with Marble itself. The result was a launch video created using the same technology it introduced. Over the course of a few weeks, hundreds of 3D worlds were imagined, refined, and brought into the stage pipeline.…
Hosted By Edmond Jono Hart James (Jingxi) Xu Mene Mazarakis Angela Zhang Manfredi Bernardi Adam 134 Went Akshobhya Gupta, Hannah Tsui and 132 others Contact the Host Report Event AI 🤖🍨 Sundae Robotics 06: V-JEPA 2 & Predicting Physical Intelligence Hosted by Edmond & 6 others Aug 30 Sunday, August 30 2:00 PM - 5:00 PM PDT Register to See Address Atherton, CA Past Event This event ended 2 days ago. Welcome! To join the event, please register below. Request to Join About Event 🤖🍨 Grab a sundae and join Sundae Robotics, a private, invite-only Sunday series bringing together robotics…
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Figure
—Figure
How Figure Became the Biggest Name in Robotics | XMAQUINA DAO
Genesis Auction Wave 2! Launches June 24 Get DEUS homeDAO Portal How Figure Became the Biggest Name in Robotics Color theme: Four years, three generations of humanoids, a $39 billion valuation and now one of the largest physical AI data engines ever built. .png) August 27, 2026 Category: Physical AI Read time: 9 minutes Share This: Four years ago, Figure didn’t have a robot. Today, the company is valued at $39 billion, has built more than 1,000 humanoids, has robots working inside BMW, is preparing deployments with another major US retailer, and has developed its own AI models, manufacturing…
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NVIDIA
$NVDA
—NVIDIA
Conference & Program | embeddedworld North America 2026
Skip to main content Skip to footer Conference & Program The premier demonstration and information sharing platform for the embedded community. Innovation, networking and knowledge are all on display. Make the most of the program with the Mobile App - explore sessions and plan your visit. Search for Sessions here! Day 1-3 Tech Sessions Schedule Day 1Tue · Sep 22Day 2Wed · Sep 23Day 3Thu · Sep 24 Exhibition Open 11:00 AM – 6:00 PM Keynote9:30 – 10:30 AM The Next Evolution of Embedded: Open Platform for Autonomous, Agentic Systems Deepu Talla— VP Robotics & Edge AI, NVIDIA Day 1:1 Technical…
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NVIDIA
$NVDA
—NVIDIA
NVIDIA's robot business is already worth $10 billion/year, and China is its best customer | HumanoidHub
News/ trends,china,usa,physical\ai,hardware,government trends,china,usa,physical\ai,hardware,government NVIDIA's robot business is already worth $10 billion/year, and China is its best customer John KoetsierAugust 31, 2026 NVIDIA's physical AI business is already generating roughly $10 billion a year, more than the entire humanoid robot industry combined, with Jensen Huang pointing to a tenfold path over the next decade. A meaningful share of that comes from China, which built about 90% of the world's humanoids last year. But Beijing is racing to build a domestic stack ... Talk about picks…
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DRDiligent Robotics
—DRDiligent Robotics
RoboBrief: Daily Robotics News, Humanoid Robots & AI Automation
Daily robotics intelligence The global robotics briefing desk Your daily robotics intelligence briefing — US, China, India & beyond. Breaking news, analysis, and insights on the global robotics revolution. - 🇺🇸United States - 🇨🇳China - 🇮🇳India - 🇯🇵Japan - 🇩🇪Germany Subscribe Free Read the briefings→ Browse topics Briefings323Briefings CadenceDailyCadence CoverageGlobalCoverage Lead briefing All briefings → Two Humanoid Robots Just Played a Full 11-Point Table Tennis Match \\ \\ HKU and KAI's SMASH 2.0 demonstration matters because table tennis forces robots to combine perception,…
AgiBot World Colosseo: A Large-scale Manipulation Platform
AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems Team AgiBot-World∗ Project website: https://agibot-world.com/ Code: https://github.com/OpenDriveLab/AgiBot-World1M 500k 0 No. Trajectories 7.7× BridgeDatav2 DROID A Universe of Robot Data Human-in-the-loop Versatile Scenarios Robot Platform: AgiBot G1 • 1M+ Trajectories • 217 Tasks• 3,000+ Objects • All-Purpose Sensor Setup RGBD Cameras Visuo-tactile Sensor • Dual-arm Humanoid • 6-Dof Dextrous Hand Tele- operator Robot Manual Review VLM Action Expert 46 66 78 0 30 60 90 Performance RDT…
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WLWorld Labs
—WLWorld Labs
World Labs Atlas
September 1, 2026Introducing Atlas, our new omni world model for spatial intelligence. Atlas: A World Model for Spatial Intelligence World models generate, reconstruct, and simulate any possible world. They understand how worlds appear, behave, and evolve so that we can render imagined worlds for creative users, simulate the real world in high fidelity, and help robots plan actions. At World Labs, we build these general purpose world models in pursuit of spatial intelligence. Today we are introducing Atlas, our next-generation world model. Atlas is an omni model that we pretrained from…