# What is true on Data? > Markdown twin of https://roboterminal.app/topics/data · https://roboterminal.app/topics/data.md ## On this layer - org — [Figure](https://roboterminal.app/companies/figure) (23) - org — [NVIDIA](https://roboterminal.app/companies/nvidia) (16) - org — [Skild AI](https://roboterminal.app/companies/skild) (12) - org — axis robotics (9) - org — [Google](https://roboterminal.app/companies/google) (9) - org — World Labs (9) - org — [Tesla](https://roboterminal.app/companies/tesla) (8) - org — [Physical Intelligence](https://roboterminal.app/companies/pi) (7) - org — [Unitree](https://roboterminal.app/companies/unitree) (7) - org — [Hugging Face](https://roboterminal.app/companies/hugging-face) (6) - org — Agibot (5) - org — [BMW](https://roboterminal.app/companies/bmw) (5) - org — OpenAI (5) - org — a16z (4) - org — video uploads (4) - org — agentic video understanding (3) - org — [Agility Robotics](https://roboterminal.app/companies/agility) (3) - org — app downloads (3) - org — Lightwheel (3) - org — [SoftBank](https://roboterminal.app/companies/softbank) (3) - org — a16z New Media (2) - org — Amazon (2) - org — Applied Intuition (2) - org — [Apptronik](https://roboterminal.app/companies/apptronik) (2) - org — Booster Robotics (2) - org — Dyna Robotics (2) - org — Generalist (2) - org — Hyundai (2) - org — Meta (2) - org — Microsoft (2) - org — napkin production (2) - org — Oracle (2) - org — Pixomondo (2) - org — Promise (2) - org — Scale AI (2) - org — Seeed Studio (2) - org — The University of Hong Kong (2) - org — total paid out (2) - org — total payment (2) - org — training data (2) - org — Uber (2) - org — UnitreeRobotics (2) - org — Wayve (2) - org — weekly active contributors (2) - org — weekly active users (2) - org — [1x](https://roboterminal.app/companies/1x) (1) - org — 3D inkjet printing (1) - org — 3D reconstruction (1) - org — ACE Robotics (1) - org — AgiBot World platform comprises over 1 million trajectories. (1) - org — Aigen (1) - org — Aimalysheva (1) - org — Anthropic (1) - org — Antioch (1) - org — articulated assets (1) - org — Atlas (1) - org — Avala (1) - org — average per-step success (1) - org — average performance improvement of policies using the dataset. (1) - org — badges for contributions in the AXIS campaign. (1) - org — Bedrock (1) - org — BlackRock (1) - plant — bmw-spartanburg-plant (1) - org — [Boston Dynamics](https://roboterminal.app/companies/boston-dynamics) (1) - org — bottlenecks for scaling intelligent robots. (1) - org — carbon reduction (1) - org — Caterpillar (1) - org — Caterpillar's operational data. (1) - org — Churchill Capital XI (1) - org — Columbia University (1) - org — commitment on data and compute (1) - org — commitment to data and compute for the next 12 months (1) - org — contracted orders (1) - org — CopilotKit (1) - org — crowns (1) - org — Cruise (1) - org — Current hours of available data for training robots. (1) - org — Current throughput of valid trajectories collected per hour. (1) - org — Dandy (1) - org — data collection (1) - org — Deep Robotics (1) - org — Delivery timeline for a data center. (1) - org — Demonstrations collected for the tasks. (1) - org — deployments of Spot (1) - org — Dexmal (1) - org — Din Tai Fung (1) - org — downloads (1) - org — DROID dataset robot interaction data (1) - org — Dyna (1) - org — Dynamo Ventures (1) - org — E-Commerce Bench (1) - org — eastworlds_io (1) - org — economic gains (1) - org — Equinor (1) - org — external funding round (1) - plant — factory-in-china (1) - org — fal (1) - org — Fetch Robotics (1) - org — FieldAI (1) - org — FigureAI (1) - org — filtered simulation episodes (1) - org — FORT Robotics (1) - org — Foxglove (1) - plant — fremont (1) - org — Galbot (1) - org — Geely Auto (1) - org — GEN-1.5 model capabilities (1) - org — General Catalyst (1) - org — General Motors (1) - org — Genesis AI (1) - org — GGUF conversion and quantization (1) - plant — giga-texas (1) - org — global market forecast for humanoid robots by 2027 (1) - org — Gravis Robotics (1) - org — Gritt (1) - org — Groq (1) - org — GrubMarket (1) - org — GXO (1) - org — H3 Max Turbo (1) - org — Harvard University (1) - org — historic crime scenes (1) - org — Humanoid robots procurement (1) - org — humanoid robots shipped in 2025 (1) - org — humanoids built (1) - org — Hydra-0 training (1) - org — ICL scaling gains over language prompting are moderate for seen tasks. (1) - org — Index uploads (1) - org — Japan's postal service (1) - org — JD.com (1) - org — JINGDONG Industrials (1) - plant — lackawanna-energy-center (1) - org — LG (1) - org — Lightspeed (1) - org — likes on Seohong Park's post (1) - org — LimX Dynamics (1) - org — Linker Vision (1) - plant — liuzhou-training-center (1) - org — Lotus Cars (1) - org — Madison Air (1) - org — MagicLab (1) - org — Manycore Tech (1) - org — maximum number of times a user can complete the same task. (1) - org — Mecka (1) - org — Mercado Libre (1) - org — Mercedes-Benz (1) - regulator — meti (1) - org — Milk Road Pro (1) - org — Mind Robotics (1) - org — MiniMax (1) - regulator — ministry-of-science-and-ict (1) - org — MIT (1) - org — Model merge process (1) - org — Mostik (1) - org — Munari (1) - org — NBT average for RandER. (1) - org — NBT average with 1% Memory Anchors removed. (1) - org — NBT average with 10% Memory Anchors removed. (1) - org — NBT average with 5% Memory Anchors removed. (1) - regulator — nedo (1) - org — Nemotron 3.5 Lightning on Jetson AGX Thor (1) - org — Nexthop AI (1) - org — Noble Machines (1) - org — Nscale (1) - org — Number of contributors for the engine on Base. (1) - org — Number of downloads of the Index platform. (1) - org — Number of global contributors and collected trajectories on the platform. (1) - org — number of objects in AgiBot World. (1) - org — Number of tasks published. (1) - org — payments made (1) - org — payments made through Index (1) - org — payments to data creators (1) - org — payouts (1) - regulator — pennsylvania-governor-josh-shapiro (1) - org — performance comparison (1) - org — performance improvement of the proposed policy over prior arts. (1) - org — physical AI data delivered (1) - org — PiPER (1) - plant — plant-spartanburg (1) - org — Pollen (1) - org — Ports connecting NPUs within the rack. (1) - org — Ports connecting to the network of switches. (1) - org — proception (1) - org — Projected growth in revenue from physical AI. (1) - org — projected spending (1) - org — Qatar Investment Authority (1) - org — Qwen (1) - org — Qwen3.5-4B on Jetson Orin Nano (1) - org — replies on Seohong Park's post (1) - org — retweets on Seohong Park's post (1) - org — Ricursive Intelligence (1) - org — robot data collection (1) - org — robot interaction data from the DROID dataset (1) - org — robot learning economics (1) - org — robot programming (1) - org — robot trajectories (1) - plant — robot-park (1) - org — ROBOTIS (1) - org — Runway (1) - org — S1 compared to current VLA models (1) - org — S1 model capabilities (1) - org — S1's performance on manipulation tasks (1) - org — SambaNova (1) - org — Samsung (1) - org — Scale AI data delivery (1) - org — Schaeffler (1) - org — SDLC process rewriting (1) - org — Seeed (1) - org — Sequoia Capital (1) - org — Sequoia's fundraising (1) - org — Shanghai AI Lab (1) - org — Shanghai Innovation Institute (1) - org — Simulated robot bodies (1) - regulator — south-korea-ministry-of-planning-and-budget (1) - org — Spacex (1) - plant — spartanburg (1) - org — Stanford University (1) - org — status of physical AI companies (1) - org — Stretch (1) - org — Subscribers to SemiAnalysis. (1) - org — sundayrobotics (1) - org — Target valid hours of data per month from the Mobile Ego-Centric App. (1) - org — teleoperation hours (1) - org — 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) - org — Timeline for the plant potting task. (1) - org — total memory demand with 1 million humanoid robots (1) - org — total memory demand with 10 million humanoid robots (1) - org — Total number of trajectories collected. (1) - org — Total number of videos collected by Index. (1) - org — total payments made (1) - org — total production of humanoid robots (1) - org — Total robotic systems procurement (1) - org — Total trajectories in the engine. (1) - org — Toyota Motor Manufacturing Canada (1) - org — Toyota Research Institute (1) - org — training hours for LDA-1B model (1) - org — training needed for current VLA models to match S1's accuracy (1) - org — transaction valuation (1) - org — TRON 2 (1) - org — UC Berkeley (1) - org — UMI (1) - org — UMI and teleoperation in robotics (1) - org — Unitree上市估值 (1) - org — valuation (1) - org — venture funding into physical AI (1) - org — videos uploaded (1) - org — weekly active users for data collection (1) - org — Wonik Robotics (1) - org — XPeng Robotics (1) - org — XSquareRobot (1) - org — Zhejiang University (1) - org — ZiNovaLabs (1) - org — Zite (1) - regulator — 国家发展改革委 (1) - org — 开发者大会参与人数 (1) - org — 特斯拉 (1) ## Who captures - Figure (19) - NVIDIA (11) - @smsehy (10) - axis robotics (9) - Skild AI (8) - World Labs (6) - OpenAI (5) - Tesla (4) - @stretchcloud (4) - Google (4) - Agibot (3) - Physical Intelligence (3) - Microsoft (2) - Hugging Face (2) - @RoboPapers (2) - @SemiAnalysis_ (2) - The University of Hong Kong (2) - Dyna Robotics (2) - Unitree (2) - Promise (2) - Galbot (1) - a16z (1) - ROBOTIS (1) - Lightwheel (1) - Seeed Studio (1) - MagicLab (1) - Qwen (1) - @Scobleizer (1) - Meta (1) - @Biti8888 (1) - Stretch (1) - @binarybits (1) - Munari (1) - @rimtoln (1) - Zite (1) - Zhejiang University (1) - XSquareRobot (1) - @OperationsPLS (1) - MiniMax (1) - Mostik (1) - Caterpillar (1) - ZiNovaLabs (1) - Anthropic (1) - Noble Machines (1) - eastworlds_io (1) - @pstAsiatech (1) - @NVIDIARobotics (1) - UnitreeRobotics (1) - Milk Road Pro (1) - Sequoia Capital (1) - Hyundai (1) - @du_maximilian (1) - https://x.com/poezhao0605 (1) - @continuumlabs_ (1) - FigureAI (1) - Agility Robotics (1) - Dyna (1) - Apptronik (1) - Dynamo Ventures (1) - @deepakpathak (1) - https://x.com/huaijiangzhu (1) - @gupta_abhinav_ (1) - https://x.com/adcock_brett (1) - sundayrobotics (1) - @EdmondIsARobot (1) - https://x.com/seohong_park (1) - https://x.com/RoboPapers (1) - @TheHumanoidHub (1) - @DrJimFan (1) - Dandy (1) - Mecka (1) - Skild AI Team (1) - https://www.facebook.com/48576411181 (1) - BMW Group (1) - Boston Dynamics (1) - Stanford University (1) - Kevin Black (1) - Edmond (1) ## Sourced numbers - **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."_ - Source: [@stretchcloud on X](https://x.com/stretchcloud/status/2095304264994177524) - **3D reconstruction:** 25.3 units - _"Atlas claims mean AbsRel error of 25.3, better than specialist tools built for that task."_ - Source: [@stretchcloud on X](https://x.com/stretchcloud/status/2095225248774029545) - **Hydra-0 training:** 2202 hrs - _"It was trained on about 2,202 hours of multi-embodiment video spanning human hands, handheld grippers, single-arm robots and bimanual systems."_ - Source: [@techniahqrobot on X](https://x.com/techniahqrobot/status/2095145553482891753) - **Caterpillar's operational data.:** 0 units - _"Caterpillar has something AI startups can’t easily manufacture: millions of machines, job sites, failures, and operating hours."_ - Source: [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](https://x.com/CKCapitalxx/status/2095141910465618065) - **badges for contributions in the AXIS campaign.:** 14 units - _"First, 5 new badges have been added, bringing the total to 14."_ - Source: [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](https://x.com/OperationsPLS/status/2095167309207982333) - **economic gains:** $10 - _"10x economic gains from robotics."_ - Source: [@OdinsDeposition on X](https://x.com/OdinsDeposition/status/2094978240360104022) - **TRON 2:** 1 units - _"TRON 2 serves as a modular and extensible embodied robotic platform for multi-tool, multi-step tasks across large workspaces."_ - Source: [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](https://x.com/chris_j_paxton/status/2095114381818253768) - **performance comparison:** 2 units - _"2x faster than Opus 5 while using half the tokens"_ - Source: [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](https://x.com/pstAsiatech/status/2095219413431529817) - **Gemini models' efficiency in video analysis:** 88 units - _"They can now analyze videos with better accuracy while using up to 88% fewer tokens."_ - Source: [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](https://x.com/GoogleDeepMind/status/2094840179676660097) - **Atlas:** 1 units - _"Atlas is built to scale: its performance improves with increased training compute, and we expect this trend to hold as we continue scaling."_ - Source: [Atlas: A World Model for Spatial Intelligence | World Labs](https://x.com/theworldlabs/status/2094839769616589051) - **data collection:** 200 hrs - _".@eastworlds_io is producing 200 hours of humanoid teleop data every week, making it the largest @UnitreeRobotics G1 data source outside China."_ - Source: [@0xconglomerate on X](https://x.com/0xconglomerate/status/2094734524563464428) - **Google DeepMind's RT-2 model:** 2 units - _"it achieved nearly double the performance on novel tasks compared to its predecessor, RT-1."_ - Source: [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](https://x.com/bareani21645/status/2094613978739593316) - **Funding for Skild AI:** $1.7billion - _"Skild has raised nearly $1.7 billion since its founding in 2023 to develop a general-purpose robot brain."_ - Source: [The Robot Report: Skild AI unveils S1 robot foundation model | AI Understanding](https://x.com/aiuorg/status/2094602992565522608) - **agentic video understanding:** $66 - _"reduces costs by up to 66%"_ - Source: [Introducing Agentic Video in Gemini](https://x.com/GoogleDeepMind/status/2094840182457422260) - **agentic video understanding:** 88 units - _"cuts token consumption by up to 88%"_ - Source: [Introducing Agentic Video in Gemini](https://x.com/GoogleDeepMind/status/2094840182457422260) - **agentic video understanding:** 7 units - _"boosts quality by up to 7%"_ - Source: [Introducing Agentic Video in Gemini](https://x.com/GoogleDeepMind/status/2094840182457422260) - **Ports connecting NPUs within the rack.:** 7 units - _"Seven ports are used to connect other NPUs on the same tray over flyover cables."_ - Source: [@SemiAnalysis_ on X](https://x.com/SemiAnalysis_/status/2094530958124847449) - **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."_ - Source: [@SemiAnalysis_ on X](https://x.com/SemiAnalysis_/status/2094530958124847449) - **Qwen3.5-4B on Jetson Orin Nano:** 100 units - _"The example uses 100 samples and 30 steps so you can complete it quickly."_ - Source: [Optimize Models with Unsloth | Jetson AI Lab](https://x.com/NVIDIARobotics/status/2094480283135316182) - **Nemotron 3.5 Lightning on Jetson AGX Thor:** 44.8 hrs - _"On Jetson AGX Thor, the three training steps completed in 44.8 seconds and saved a 438 MB adapter."_ - Source: [Optimize Models with Unsloth | Jetson AI Lab](https://x.com/NVIDIARobotics/status/2094480283135316182) - **Model merge process:** 14 units - _"The tested merge produced 14 model shards totaling 65.8 GB."_ - Source: [Optimize Models with Unsloth | Jetson AI Lab](https://x.com/NVIDIARobotics/status/2094480283135316182) - **GGUF conversion and quantization:** $63.2 - _"The tested export produced a 63.2 GB BF16 GGUF and a 24.5 GB Q4\K\M GGUF."_ - Source: [Optimize Models with Unsloth | Jetson AI Lab](https://x.com/NVIDIARobotics/status/2094480283135316182) - **humanoid robots shipped in 2025:** 5,500 units - _"unitree shipped 5,500 humanoid robots in 2025 – more than tesla, figure ai and agility robotics combined."_ - Source: [@thehypedotnews on X](https://x.com/thehypedotnews/status/2094464209895424198) - **total production of humanoid robots:** 6,500 units - _"total production exceeded 6,500 units."_ - Source: [@thehypedotnews on X](https://x.com/thehypedotnews/status/2094464209895424198) - **global market forecast for humanoid robots by 2027:** 100,000 units - _"counterpoint forecasts the global market hitting 100,000 units by 2027 – 6x the 2025 numbers."_ - Source: [@thehypedotnews on X](https://x.com/thehypedotnews/status/2094464209895424198) - **Demonstrations collected for the tasks.:** 100 units - _"For each task, we collect 100 teleoperated demonstrations at 30 FPS and fully fine-tune the pretrained π0.5 policy."_ - Source: [GitHub - hku-sail/StreamPI: StreamPI: Streaming Multimodal Temporal Modeling for Vision-Language-Action Models · GitHub](https://x.com/DexRobotics/status/2094411289380765788) - **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."_ - Source: [@MelvinInvests on X](https://x.com/MelvinInvests/status/2094409187724017974) - **total memory demand with 10 million humanoid robots:** $6billion - _"while 10 million robots could create a $6 billion–$8 billion opportunity."_ - Source: [@MelvinInvests on X](https://x.com/MelvinInvests/status/2094409187724017974) - **carbon reduction:** 1,780 units - _"Through smarter supply-demand matching and logistics optimisation, JINGDONG Industrials helps customers reduce unnecessary transportation and resource waste."_ - Source: [JD.com, Inc.](https://x.com/SlavaOPs/status/2094352372558410095) - **Number of humanoids built by Figure.:** 1,000 units - _"has built more than 1,000 humanoids"_ - Source: [How Figure Became the Biggest Name in Robotics | XMAQUINA DAO](https://x.com/xmaquina/status/2094334389979373824) - **Number of BMW X3s produced with Figure's help.:** 30,000 units - _"contributed to the production of 30,000 BMW X3s."_ - Source: [How Figure Became the Biggest Name in Robotics | XMAQUINA DAO](https://x.com/xmaquina/status/2094334389979373824) - **Number of downloads of the Index platform.:** 264,000 units - _"Index had already reached 264,000 downloads across 108 countries"_ - Source: [How Figure Became the Biggest Name in Robotics | XMAQUINA DAO](https://x.com/xmaquina/status/2094334389979373824) - **Total number of videos collected by Index.:** 16,000,000 units - _"collected 16 million videos."_ - Source: [How Figure Became the Biggest Name in Robotics | XMAQUINA DAO](https://x.com/xmaquina/status/2094334389979373824) - **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."_ - Source: [@davidcao01 on X](https://x.com/davidcao01/status/2094201331011518541) - **Sequoia's fundraising:** $10B - _"Sequoia raised $10B four months after a $7B raise, explicitly reframing its thesis from "algorithms to atoms""_ - Source: [@davidcao01 on X](https://x.com/davidcao01/status/2094201331011518541) - **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"_ - Source: [@davidcao01 on X](https://x.com/davidcao01/status/2094201331011518541) - **teleoperation hours:** 100000 hrs - _"Skild says the equivalent training data took to collect."_ - Source: [@Robot_AIsignals on X](https://x.com/Robot_AIsignals/status/2094201246987034914) - **average per-step success:** 66 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)."_ - Source: [@Robot_AIsignals on X](https://x.com/Robot_AIsignals/status/2094201246987034914) - **Index uploads:** 16,000,000 units - _"Index has taken 16 million uploads from 108 countries,"_ - Source: [@Robot_AIsignals on X](https://x.com/Robot_AIsignals/status/2094154690241978745) - **weekly active contributors:** 44,000 units - _"carries 44,000+ weekly active contributors"_ - Source: [@Robot_AIsignals on X](https://x.com/Robot_AIsignals/status/2094154690241978745) - **payments made through Index:** $15M - _"has paid out $15M — with over $1B committed to data and compute across the next twelve months (company claims)."_ - Source: [@Robot_AIsignals on X](https://x.com/Robot_AIsignals/status/2094154690241978745) - **Nvidia's revenue from physical AI.:** $10billion - _"The business of physical artificial intelligence already generates some $10 billion in annual revenue at Nvidia."_ - Source: [Nvidia Wants to Run the World’s Robots. China Is an Eager Customer. - WSJ](https://x.com/pstAsiatech/status/2094400792060911848) - **Projected growth in revenue from physical AI.:** $10 - _"Chief Executive Jensen Huang says it will grow 10-fold within the next decade."_ - Source: [Nvidia Wants to Run the World’s Robots. China Is an Eager Customer. - WSJ](https://x.com/pstAsiatech/status/2094400792060911848) - **Humanoid robots procurement:** 1,080 units - _"The government plans to buy 250 domestically produced humanoid units in 2027, expanding to 1,080 units through 2030."_ - Source: [South Korea Commits KRW 2.3 Trillion to Build Full-Stack Humanoid Robotics Ecosystem by 2030 | Humanoids Daily](https://x.com/humanoidsdaily/status/2093648555726590278) - **Total robotic systems procurement:** 5,000 units - _"total state purchases will reach 1,700 units in 2027 and approximately 5,000 units by 2030."_ - Source: [South Korea Commits KRW 2.3 Trillion to Build Full-Stack Humanoid Robotics Ecosystem by 2030 | Humanoids Daily](https://x.com/humanoidsdaily/status/2093648555726590278) - **Subscribers to SemiAnalysis.:** 180,000 units - _"Over 180,000+ Subscribers."_ - Source: [SemiAnalysis ChipBook](https://x.com/SemiAnalysis_/status/2093440227792585076) - **NBT average for RandER.:** 0.197 units - _"RandER: 0.197 ± 0.020 (SEM)"_ - Source: [MemoryAnchors](https://x.com/du_maximilian/status/2093390863821131915) - **NBT average with 1% Memory Anchors removed.:** 0.171 units - _"−1%: 0.171 ± 0.018 (SEM)"_ - Source: [MemoryAnchors](https://x.com/du_maximilian/status/2093390863821131915) - **NBT average with 5% Memory Anchors removed.:** 0.284 units - _"−5%: 0.284 ± 0.027 (SEM)"_ - Source: [MemoryAnchors](https://x.com/du_maximilian/status/2093390863821131915) - **NBT average with 10% Memory Anchors removed.:** 0 units - _"−10%: 0"_ - Source: [MemoryAnchors](https://x.com/du_maximilian/status/2093390863821131915) - **Current hours of available data for training robots.:** 2000 hrs - _"Today, the industry has roughly 2,000 hours, the best public dataset, Open X-Embodiment."_ - Source: [Cicada Market Making on X: "https://t.co/26k9SK56mf" / X](https://x.com/axisrobotics/status/2093684446465798629) - **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."_ - Source: [Cicada Market Making on X: "https://t.co/26k9SK56mf" / X](https://x.com/axisrobotics/status/2093684446465798629) - **Current throughput of valid trajectories collected per hour.:** 10,000 units - _"Throughput already reaches 10,000 valid trajectories per hour today;"_ - Source: [Cicada Market Making on X: "https://t.co/26k9SK56mf" / X](https://x.com/axisrobotics/status/2093684446465798629) - **Target valid hours of data per month from the Mobile Ego-Centric App.:** 10,000 units - _"Launching in September 2026 with a target of 10,000+ valid hours of data per month;"_ - Source: [Cicada Market Making on X: "https://t.co/26k9SK56mf" / X](https://x.com/axisrobotics/status/2093684446465798629) - **training data:** 500000 hrs - _"The sector has roughly 500,000 hours of high-quality training data."_ - Source: [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](https://x.com/OperationsPLS/status/2095167359006933341) - **physical intelligence:** 100000000 hrs - _"Industry estimates put the threshold for true physical intelligence at 100 million hours."_ - Source: [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](https://x.com/OperationsPLS/status/2095167359006933341) - **bottlenecks for scaling intelligent robots.:** 7 units - _"7 bottlenecks stand out:"_ - Source: [@continuumlabs_ on X](https://x.com/continuumlabs_/status/2093271174012633446) - **video uploads:** 16,000,000 units - _"16M video uploads."_ - Source: [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](https://x.com/xmaquina/status/2093247264823316740) - **payments to data creators:** $15M - _"$15M paid to data creators."_ - Source: [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](https://x.com/xmaquina/status/2093247264823316740) - **commitment on data and compute:** $1B - _"Figure says it's committing $1B over the next 12 months on data and compute."_ - Source: [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](https://x.com/xmaquina/status/2093247264823316740) - **Total number of trajectories collected.:** 2,100,000 units - _"2.1 million trajectories"_ - Source: [@em3kagmi on X](https://x.com/em3kagmi/status/2093212897023271321) - **Number of tasks published.:** 1,600 units - _"1,600+ published tasks."_ - Source: [@em3kagmi on X](https://x.com/em3kagmi/status/2093212897023271321) - **Total trajectories in the engine.:** 3,000,000 units - _"the engine on Base had reached 3 million trajectories from 123,000+ contributors."_ - Source: [@em3kagmi on X](https://x.com/em3kagmi/status/2093212897023271321) - **Number of contributors for the engine on Base.:** 123,000 units - _"from 123,000+ contributors."_ - Source: [@em3kagmi on X](https://x.com/em3kagmi/status/2093212897023271321) - **future revenue from Optimus:** 80 units - _"80% of the company's value will come from its Optimus robot in the future."_ - Source: [Optimus Just Entered Production at Fremont. Here's What Changes for Tesla Investors. | The Motley Fool](https://x.com/VanEmmerickKris/status/2094940107484586346) - **transaction valuation:** $2.5B - _"Agility’s $2.5B transaction valuation is beginning to look increasingly conservative."_ - Source: [@jinseongeo83473 on X](https://x.com/jinseongeo83473/status/2093061326516224295) - **contracted orders:** $300M - _"$300M+ in multi-year contracted Digit v5 orders"_ - Source: [@jinseongeo83473 on X](https://x.com/jinseongeo83473/status/2093061326516224295) - **external funding round:** $900M - _"XPeng Robotics recently raised more than $900M in its first external funding round"_ - Source: [@jinseongeo83473 on X](https://x.com/jinseongeo83473/status/2093061326516224295) - **status of physical AI companies:** 0 units - _"Most Physical AI companies are still doing lab demos."_ - Source: [@Rewkang on X](https://x.com/Rewkang/status/2093056014967087389) - **napkin production:** 1,500 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."_ - Source: [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](https://x.com/TheHumanoidHub/status/2093387536962076683) - **napkin production:** 480 units - _"A year ago, ours managed 480 with Dyna-1."_ - Source: [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](https://x.com/TheHumanoidHub/status/2093387536962076683) - **filtered simulation episodes:** 180.55 hrs - _"42,046 episodes and 3,249,835 frames remained, equivalent to 180.55 hours at 5 Hz."_ - Source: [Axis Robotics × Booster: From Digital Twins to a Robot Data Engine](https://x.com/axisrobotics/status/2092884880430661971) - **Unitree上市估值:** $66,000,000,000 - _"中国巨头Unitree上市估值660亿，转眼腰斩，投资人都在追什么？"_ - Source: [@WWTLitee on X](https://x.com/WWTLitee/status/2092840562143772769) - **开发者大会参与人数:** 3 hrs - _"比去年多了三倍"_ - Source: [@WWTLitee on X](https://x.com/WWTLitee/status/2092840562143772769) - **GEN-1.5 model capabilities:** 1 units - _"Introducing GEN-1.5, a one-shot learner. It can learn new tasks in a few seconds."_ - Source: [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](https://x.com/RhysLindmark/status/2092684832199639136) - **S1 model capabilities:** 1 units - _"Introducing S1, our new foundation model that learns from one example."_ - Source: [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](https://x.com/RhysLindmark/status/2092684832199639136) - **valuation:** $5billion - _"carried the company past a $5 billion valuation."_ - Source: [Humanoids are for marketing, robots are the real business](https://x.com/vector__news/status/2092669106319167753) - **SoftBank's investment.:** $200M - _"SoftBank Puts $200M Into Gravis Robotics for Autonomous Construction"_ - Source: [Dynamo Dispatch (2026/08/24) - by Santosh Sankar](https://x.com/ThisIsDynamo/status/2092645452168520089) - **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."_ - Source: [Dynamo Dispatch (2026/08/24) - by Santosh Sankar](https://x.com/ThisIsDynamo/status/2092645452168520089) - **Unitree's stock performance in debut.:** 629 units - _"Unitree Pops 629% in Its Shanghai Debut"_ - Source: [Dynamo Dispatch (2026/08/24) - by Santosh Sankar](https://x.com/ThisIsDynamo/status/2092645452168520089) - **total payment:** $15M - _"Paid $15M to date"_ - Source: [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](https://x.com/_Armitage__/status/2092656782888087910) - **downloads:** 264,000 units - _"264k downloads"_ - Source: [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](https://x.com/_Armitage__/status/2092656782888087910) - **weekly active users for data collection:** 43,000 units - _"We're now over 43,000 weekly active users collecting data to train Helix, our AI model for F.03 robots"_ - Source: [@adcock_brett on X](https://x.com/adcock_brett/status/2092628102262477268) - **Skild AI:** $14B - _"$14B valuation."_ - Source: [@ThomasSmale on X](https://x.com/ThomasSmale/status/2092613535482413228) - **Physical Intelligence:** $11B - _"Physical Intelligence: $11B"_ - Source: [@ThomasSmale on X](https://x.com/ThomasSmale/status/2092613535482413228) - **Generalist:** $2B - _"$2B to $3B in months, $600M raised"_ - Source: [@ThomasSmale on X](https://x.com/ThomasSmale/status/2092613535482413228) - **Unitree IPO valuation:** $66billion - _"the company valued at $66 billion after its arrival on China’s equivalent of the Nasdaq."_ - Source: [Robot brain builders are pushing out of their GPT-2 era | TechCrunch](https://x.com/HarryMellsop/status/2092651092026728509) - **Simulated robot bodies:** 100,000 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."_ - Source: [@0xconglomerate on X](https://x.com/0xconglomerate/status/2092554990829379730) - **robot data collection:** 50 hrs - _"Practically takes much longer than 50-100hrs to collect 50hrs of robot data assuming people take break or make mistake too."_ - Source: [@deepakpathak on X](https://x.com/deepakpathak/status/2092500588982583569) - **robot trajectories:** 1 units - _"Every task you complete on Axis Hub is a robot trajectory — real training data for real robot policies."_ - Source: [@axisrobotics on X](https://x.com/axisrobotics/status/2092496995760136399) - **app downloads:** 264,000 units - _"264K app downloads across 108 countries"_ - Source: [@TheHumanoidHub on X](https://x.com/TheHumanoidHub/status/2092388111083065555) - **weekly active contributors:** 44,000 units - _"44K weekly active contributors"_ - Source: [@TheHumanoidHub on X](https://x.com/TheHumanoidHub/status/2092388111083065555) - **videos uploaded:** 16,000,000 units - _"16M videos uploaded, 30 minutes of video ingested every second"_ - Source: [@TheHumanoidHub on X](https://x.com/TheHumanoidHub/status/2092388111083065555) - **total paid out:** $15M - _"$15M already paid out to contributors"_ - Source: [@TheHumanoidHub on X](https://x.com/TheHumanoidHub/status/2092388111083065555) - **commitment to data and compute for the next 12 months:** $1B - _"$1B committed to data and compute"_ - Source: [@TheHumanoidHub on X](https://x.com/TheHumanoidHub/status/2092388111083065555) - **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."_ - Source: [@rohanpaul_ai on X](https://x.com/rohanpaul_ai/status/2092312459382235407) - **S1's performance on manipulation tasks:** $380 - _"one video demonstration provided roughly the benefit of 380 post-training examples!"_ - Source: [@DeryaTR_ on X](https://x.com/DeryaTR_/status/2092312053272707504) - **video uploads:** 16,000,000 units - _"Over 16M video uploads"_ - Source: [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](https://x.com/Figure_robot/status/2092305015075729587) - **payouts:** $15M - _"Paid out $15M to date"_ - Source: [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](https://x.com/Figure_robot/status/2092305015075729587) - **weekly active users:** 43,000 units - _"Weekly active users is now over 43,000"_ - Source: [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](https://x.com/Figure_robot/status/2092305015075729587) - **@adcock_brett 2092304764684128285:** $39B - _"$39B"_ - Source: [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](https://x.com/adcock_brett/status/2092304764684128285) - **@adcock_brett 2092304764684128285:** $1B - _"$1B"_ - Source: [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](https://x.com/adcock_brett/status/2092304764684128285) - **@adcock_brett 2092304764684128285:** 1,000 units - _"1,000+ humanoids"_ - Source: [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](https://x.com/adcock_brett/status/2092304764684128285) - **payments made:** $15M - _"Paid out $15M to date"_ - Source: [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](https://x.com/Figure_robot/status/2092304596278694350) - **@humanoidsdaily 2092317847645032776:** $1B - _"$1B"_ - Source: [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](https://x.com/humanoidsdaily/status/2092317847645032776) - **total payments made:** $15M - _"Paid $15M to date"_ - Source: [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](https://x.com/adcock_brett/status/2092303633559982106) - **app downloads:** 264,000 units - _"While in stealth, we crossed 264,000 app downloads"_ - Source: [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](https://x.com/adcock_brett/status/2092303633559982106) - **projected spending:** 1,000,000,000 units - _"We are now on a path to 100x, and are committed to spend over $1B the next 12 months on data and compute"_ - Source: [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](https://x.com/adcock_brett/status/2092303633559982106) - **total payment:** $15M - _"→ Paid $15M to date"_ - Source: [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](https://x.com/HumanoidInvest/status/2092397968041066740) - **video uploads:** 16,000,000 units - _"uploaded 16 million videos"_ - Source: [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](https://x.com/stretchcloud/status/2092379241476247839) - **total paid out:** $15M - _"Paid out $15M to date"_ - Source: [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](https://x.com/stretchcloud/status/2092379241476247839) - **weekly active users:** 43,000 units - _"Weekly active users is now over 43,000"_ - Source: [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](https://x.com/stretchcloud/status/2092379241476247839) - **video uploads:** 16,000,000 units - _"uploaded 16 million videos"_ - Source: [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](https://x.com/Figure_robot/status/2092303621392376314) - **S1 compared to current VLA models:** 100 hrs - _"current VLA models would need to be post-trained with 50-100 hours of data collection followed by fine-tuning!"_ - Source: [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](https://x.com/SkildAI/status/2092300850492481818) - **training needed for current VLA models to match S1's accuracy:** 100 hrs - _"current VLA models would need to be post-trained with 50-100 hours of data collection followed by fine-tuning!"_ - Source: [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](https://x.com/SkildAI/status/2092300842900865389) - **@maganjot79705 2092155986027110708:** $300 - _"$300 "_ - Source: [@maganjot79705 on X](https://x.com/maganjot79705/status/2092155986027110708) - **app downloads:** 264,000 units - _"we've crossed 264,000 app downloads across 100+ countries"_ - Source: [Introducing Index: Building The World’s Largest and Most Diverse Physical Dataset](https://www.figure.ai/news/introducing-index) - **robot interaction data from the DROID dataset:** 62 hrs - _"Meta reports using 62 hours of robot interaction data from the DROID dataset for this stage."_ - Source: [🤖🍨 Sundae Robotics 06: V-JEPA 2 & Predicting Physical Intelligence · Luma](https://x.com/EdmondIsARobot/status/2092037991619530779) - **likes on Seohong Park's post:** 128 units - _"128"_ - Source: [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](https://x.com/svlevine/status/2092464628815241618) - **retweets on Seohong Park's post:** 1,000 units - _"1K"_ - Source: [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](https://x.com/svlevine/status/2092464628815241618) - **replies on Seohong Park's post:** 888 units - _"888"_ - Source: [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](https://x.com/svlevine/status/2092464628815241618) - **training hours for LDA-1B model:** 30000 hrs - _"LDA-1B s a new foundation model that is trained on 30,000 hours of human and robot interaction data."_ - Source: [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](https://x.com/chris_j_paxton/status/2091877313872834800) - **@RoboPapers 2091877173292356012:** 30000 hrs - _"30,000 hours"_ - Source: [@RoboPapers on X](https://x.com/RoboPapers/status/2091877173292356012) - **articulated assets:** 27 units - _"TaskGen now includes a library of 27 articulated object families (4 variants each)."_ - Source: [@axisrobotics on X](https://x.com/axisrobotics/status/2091797746114244876) - **robot programming:** 1 units - _"If showing it once is enough, that changes both how fast a robot becomes useful and who can work with one."_ - Source: [@TheHumanoidHub on X](https://x.com/TheHumanoidHub/status/2090662734551818253) - **historic crime scenes:** 10 units - _"to recreate ten historic crime scenes that no longer existed."_ - Source: [From Archive to Production: A Hybrid Workflow with Marble | World Labs](https://x.com/theworldlabs/status/2090479434927411551) - **UMI and teleoperation in robotics:** 1 units - _"GEN-1.5 is driving the final nail in the coffin."_ - Source: [@DrJimFan on X](https://x.com/DrJimFan/status/2090465981240086992) - **crowns:** 1 units - _"Dandy has become a leading Physical AI business that is delivering the highest quality crowns at industry leading prices."_ - Source: [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](https://x.com/HarryMellsop/status/2090481638908314082) - **3D inkjet printing:** 1 units - _"the first company in the world to ever 3D inkjet print at the micron level"_ - Source: [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](https://x.com/HarryMellsop/status/2090481638908314082) - **maximum number of times a user can complete the same task.:** 5 units - _"Up to 5 times."_ - Source: [FAQ | AXIS ROBOTICS](https://x.com/axisrobotics/status/2090351676880486648) - **ICL scaling gains over language prompting are moderate for seen tasks.:** 7 units - _"But unseen tasks experience a 7× performance improvement."_ - Source: [Introducing S1: In-Context Learning for Robotics | Skild AI](https://x.com/deepakpathak/status/2093512202083086641) - **Timeline for the plant potting task.:** 11 hrs - _"The time from demonstration to autonomous execution was 11 minutes."_ - Source: [Introducing S1: In-Context Learning for Robotics | Skild AI](https://x.com/deepakpathak/status/2093512202083086641) - **SDLC process rewriting:** 0 units - _"The agents won’t be enhancing each step of the SDLC—they will be rewriting the SLDC themselves."_ - Source: [AME Agent Swarms Quietly Rewrite the Workflow - IEEE Spectrum](https://spectrum.ieee.org/amd-agent-swarms) - **BMW Group production:** 30,000 units - _"the Figure 02 robot supported the production of more than 30,000 BMW X3 vehicles over ten months."_ - Source: [Press-Information June 25th 2026](https://www.press.bmwgroup.com/canada/article/attachment/T0458794EN/651051) - **Scale AI data delivery:** 150000 hrs - _"it reported delivering over 150,000 hours of physical AI data during 2025"_ - Source: [5 Physical AI infrastructure platforms shaping robotics in 2026 - The Robot Report](https://www.therobotreport.com/5-physical-ai-infrastructure-platforms-shaping-robotics-in-2026) - **physical AI data delivered:** 150000 hrs - _"it reported delivering over 150,000 hours of physical AI data during 2025"_ - Source: [5 Physical AI infrastructure platforms shaping robotics in 2026 - The Robot Report](https://x.com/therobotreport/status/2094493447029670279) - **deployments of Spot:** 1,500 units - _"With over 1,500 deployments, Spot is already teaching hundreds of companies how to work alongside autonomous mobile robots."_ - Source: [An Electric New Era for Atlas | Boston Dynamics](https://x.com/BostonDynamics/status/1780603212359205323) - **Training Data:** 20000 hrs - _"N1.7 is pretrained on 20K hours of EgoScale human video data alongside diverse robot demonstrations."_ - Source: [NVIDIA/Isaac-GR00T](https://github.com/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."_ - Source: [Bringing Marble to Life | World Labs](https://www.worldlabs.ai/case-studies/bringing-marble-to-life) - **DROID dataset robot interaction data:** 62 hrs - _"Meta reports using 62 hours of robot interaction data from the DROID dataset for this stage."_ - Source: [🤖🍨 Sundae Robotics 06: V-JEPA 2 & Predicting Physical Intelligence · Luma](https://luma.com/5h9owhri) - **humanoids built:** 1,000 units - _"has built more than 1,000 humanoids"_ - Source: [How Figure Became the Biggest Name in Robotics | XMAQUINA DAO](https://www.xmaquina.io/blog/how-figure-became-the-biggest-name-in-robotics) - **BMW X3 production:** 30,000 units - _"contributed to the production of 30,000 BMW X3s"_ - Source: [How Figure Became the Biggest Name in Robotics | XMAQUINA DAO](https://www.xmaquina.io/blog/how-figure-became-the-biggest-name-in-robotics) - **AgiBot World platform comprises over 1 million trajectories.:** 1,000,000 units - _"we achieve an order-of-magnitude increase in data scale compared to existing datasets."_ - Source: [AgiBot World Colosseo: A Large-scale Manipulation Platform](https://arxiv.org/pdf/2503.06669) - **number of objects in AgiBot World.:** 3,000 units - _"3,000+ Objects"_ - Source: [AgiBot World Colosseo: A Large-scale Manipulation Platform](https://arxiv.org/pdf/2503.06669) - **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."_ - Source: [AgiBot World Colosseo: A Large-scale Manipulation Platform](https://arxiv.org/pdf/2503.06669) - **average performance improvement of policies using the dataset.:** 30 units - _"Policies pre-trained on our dataset achieve an average performance improvement of 30%"_ - Source: [AgiBot World Colosseo: A Large-scale Manipulation Platform](https://arxiv.org/pdf/2503.06669) ## Pulse - [@GalbotRobotics on X](https://x.com/GalbotRobotics/status/2095982381307969568) Galbot ET1 — the world’s first autonomous learning-capable agentic humanoid robot — is now available for pre-order on https://t.co/92OEbTIoiT! A Native Agent for the Physical World, ET1 is built to se… - [@TheHumanoidHub on X](https://x.com/TheHumanoidHub/status/2095976015818576359) Don't sleep on Tesla in humanoids just because they've gone quiet. Tesla bet on solving driving intelligence from vision alone, put a powerful inference computer in every car long before FSD was solve… - [@MelvinInvests on X](https://x.com/MelvinInvests/status/2095975579736838521) AI demand is just getting started,and we need more compute than ever before. The chart tracks the share of US businesses paying for subscriptions to AI models, platforms, and tools, based on business … - [@a16z on X](https://x.com/a16z/status/2095961376208646248) >be dr. fei-fei li >born in beijing, raised in chengdu >dad moves to new jersey, follow at age 16 >speak almost no english >parents open a dry cleaner >work the counter on weekends >get into princeton… - [@stretchcloud on X](https://x.com/stretchcloud/status/2095956311498252493) The Astra rollout is a useful case study in how not to ship a flagship feature. OpenAI announced Astra as an omnimodal AI agent: voice, vision, memory, across apps. The pitch was compelling enough to … - [@ramez on X](https://x.com/ramez/status/2095924647938150575) Alternate framing: OpenAI agents discovered they could post to a wiki on the external internet, did so, and used it to communicate. https://t.co/Lnejpr3KzC - [@tchsignal on X](https://x.com/tchsignal/status/2095922412751880596) Researchers Linked Thousands of Wiki Agents to OpenAI Researchers analyzing public wiki activity attributed 3,103 AI agents to systems linked with OpenAI, documenting 14,666 edits across 4,584 pages b… - [@humanoidsdaily on X](https://x.com/humanoidsdaily/status/2095921359553450339) Everyone is analyzing NVIDIA’s $12.9B Hugging Face deal through LLMs and cloud compute. The more interesting story? Physical AI. Between LeRobot becoming the open standard for robot learning and Polle… - [@a16z on X](https://x.com/a16z/status/2095921217308086425) Old footage sitting in your camera roll could now be reconstructable as a 3D scene. World Labs co-founders Ben Mildenhall and Fei-Fei Li on how Atlas got there: Ben: "In a casual sense... I took three… - [@MelvinInvests on X](https://x.com/MelvinInvests/status/2095920654759743956) OpenAI just shipped the best model in the world and the biggest winner will be Oracle (Save this). GPT 6 Astra launched yesterday and OpenAI calls it the most intelligent and aligned model in the worl… - [@techniahqrobot on X](https://x.com/techniahqrobot/status/2095906198994239540) ROBOTIS is turning its AI Sapiens K1 humanoid into a real training platform for the next generation of robotics engineers. Through Open Humanoid GYM, student teams build motions in simulation and tran… - [@RoboPapers on X](https://x.com/RoboPapers/status/2095904469712347153) Full episode dropping soon! Geeking out with @bgxc on EgoSuite-Open100K https://t.co/RqjIKd0Mg4 @LightwheelAI Co-hosted by @micoolcho @DJiafei https://t.co/B8f7NpGGUr - [@Thom_Wolf on X](https://x.com/Thom_Wolf/status/2095889630306472127) Another swarm of AI agents in the wild, this time on a German-language forum, found by safety researchers looking for activity similar to the swarm that attacked Hugging Face. A couple of notes while … - [@a16z on X](https://x.com/a16z/status/2095882301032828932) World Labs co-founders Fei-Fei Li, Justin Johnson, Ben Mildenhall, and a16z's Martin Casado on Atlas, a world model for spatial intelligence: LLMs are built on next token prediction. Video models are … - [@RoboPapers on X](https://x.com/RoboPapers/status/2095854394667393218) Reinforcement learning has unlocked tremendous gains in broader AI and humanoid robot whole body control, but still has yet to deliver strong results for robot manipulation due to the difficulty of ca… - [@BitsWattsDesk on X](https://x.com/BitsWattsDesk/status/2095852633496195313) The humanoid hand debate is focused on the wrong bottleneck. The usual argument is about where to put the motor. Tendon-driven hands keep the actuators upstream and pull the fingers with cables. Tesla… - [@seeedstudio on X](https://x.com/seeedstudio/status/2095844325406179508) What does it take to teach a robot arm to work on its own? With #SOARM101 + @LeRobotHF + ACT, we walk through the full imitation learning loop: calibration → teleoperation → data collection → training… - [@techniahqrobot on X](https://x.com/techniahqrobot/status/2095834100842000580) This humanoid is getting smoother one movement at a time. MagicLab’s MagicBot X1 is being trained on choreography, with individual movements refined repeatedly before being connected into a complete s… - [@Biti8888 on X](https://x.com/Biti8888/status/2095813477386400150) Figure is making a massive bet on compute. The company has committed $3.5B to a multi-year partnership with Nscale, with plans that could eventually scale beyond $6B and provide access to as many as 1… - [@stretchcloud on X](https://x.com/stretchcloud/status/2095797263507272153) WebMCP just shipped in CopilotKit. This is worth understanding. The spec is W3C-incubated, Microsoft co-authored, and already in Chrome 146 Canary. Any web app can register its tools in a machine-read… - [@stretchcloud on X](https://x.com/stretchcloud/status/2095768833437184166) The hardest thing to benchmark is not intelligence. It is judgment over a full year. E-Commerce Bench, released this week by the Qwen team, is the first benchmark that runs an LLM agent through a full… - [@smsehy on X](https://x.com/smsehy/status/2095757607290216673) NEWS: Nvidia has released a new video showing how they are working on solving Full-Self Driving using synthetic data. Nvidia CEO Jensen Huang: “We build detailed 4D https://t.co/oHW9oDpN2i - [@smsehy on X](https://x.com/smsehy/status/2095757175851479448) Utilizing digital twins to systematically augment rare failure edge cases accelerates reinforcement learning policy stability without risking physical robot hardware damage. https://t.co/I5C3BaTXT8 - [@smsehy on X](https://x.com/smsehy/status/2095756668961456574) Sim-to-real pipelines allow developers to test vision-language-action policies in synthetic environments, but production deployment still requires handling real-world joint backlash and mechanical the… - [@Scobleizer on X](https://x.com/Scobleizer/status/2095756331915542758) A 3D world for your bots. https://t.co/WSUa10DjhA - [@smsehy on X](https://x.com/smsehy/status/2095753525162901511) Open-source teleoperation arms running carbon-fiber reinforced structures dramatically lower the cost of gathering high-quality physical imitation datasets, accelerating policy training for industrial… - [@stretchcloud on X](https://x.com/stretchcloud/status/2095739885772554382) Reef is one of the most ambitious open-source AI infrastructure projects I have seen this year. ~300 GitHub stars in two days. The core idea is genuinely different from anything else in the space: mos… - [@tchsignal on X](https://x.com/tchsignal/status/2095733547231514841) Meta Puts a Price on AI Interaction Data Meta is offering a striking trade-off for developers using its Muse Spark AI model: much cheaper API access if they opt in to Contributor terms that allow thei… - [@smsehy on X](https://x.com/smsehy/status/2095712280415699389) 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 … - [@smsehy on X](https://x.com/smsehy/status/2095712213621436441) 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 con… - [@smsehy on X](https://x.com/smsehy/status/2095712146147733971) Training reinforcement learning on cached latent embeddings solves policy training throughput. The critical step for automotive manufacturing remains hard reliability optimization to eliminate rare ed… - [@smsehy on X](https://x.com/smsehy/status/2095711383677768133) 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 with… - [@smsehy on X](https://x.com/smsehy/status/2095711107193450908) 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 physi… - [@Biti8888 on X](https://x.com/Biti8888/status/2095710692972048889) 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 bui… - [@techniahqrobot on X](https://x.com/techniahqrobot/status/2095698231455813708) 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 designe… - [@DrJimFan on X](https://x.com/DrJimFan/status/2095696882844463382) 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 … - [@stretchcloud on X](https://x.com/stretchcloud/status/2095665142730256633) 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 harnes… - [@spaceandtech_ on X](https://x.com/spaceandtech_/status/2095587174804750669) 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-… - [@binarybits on X](https://x.com/binarybits/status/2095577988007911472) 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:/… - [@frontrunvc on X](https://x.com/frontrunvc/status/2095574324283674959) 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 ac… - [@rimtoln on X](https://x.com/rimtoln/status/2095568388684738657) 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 → co… - [@stretchcloud on X](https://x.com/stretchcloud/status/2095565486230782032) 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 bus… - [@techniahqrobot on X](https://x.com/techniahqrobot/status/2095562223582060581) 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 losin… - [@Biti8888 on X](https://x.com/Biti8888/status/2095551409546522904) 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 cor… - [@Newsforce on X](https://x.com/Newsforce/status/2095541071056887934) 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 in… - [@CKCapitalxx on X](https://x.com/CKCapitalxx/status/2095499690305352092) $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 compani… - [@Biti8888 on X](https://x.com/Biti8888/status/2095482214838382897) 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 dat… - [@smsehy on X](https://x.com/smsehy/status/2095436884549992763) 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… - [@smsehy on X](https://x.com/smsehy/status/2095436674809626831) 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 unsu… - [@OperationsPLS on X](https://x.com/OperationsPLS/status/2095425023851044939) 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 th… - [@stretchcloud on X](https://x.com/stretchcloud/status/2095418266181419283) 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 … - [@stretchcloud on X](https://x.com/stretchcloud/status/2095334463802851765) 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 t… - [@stretchcloud on X](https://x.com/stretchcloud/status/2095304264994177524) 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… - [@stretchcloud on X](https://x.com/stretchcloud/status/2095250410059567289) 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 … - [@Scobleizer on X](https://x.com/Scobleizer/status/2095248673668248057) 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 … - [@stretchcloud on X](https://x.com/stretchcloud/status/2095225248774029545) 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 understan… - [@techniahqrobot on X](https://x.com/techniahqrobot/status/2095145553482891753) 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.… - [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](https://x.com/CKCapitalxx/status/2095141910465618065) 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, usin… - [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](https://x.com/OperationsPLS/status/2095167309207982333) 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… - [@OdinsDeposition on X](https://x.com/OdinsDeposition/status/2094978240360104022) @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… - [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](https://x.com/chris_j_paxton/status/2095114381818253768) 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 innovati… - [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](https://x.com/pstAsiatech/status/2095219413431529817) 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’… - [From Robot Development to Deployment with Isaac GR00T & Jetson Thor - YouTube](https://x.com/NVIDIARobotics/status/2094850249802076179) 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 yo… - [Seeed reBot Arm B601-RS: Physical AI & VLA Model Course | NVIDIA DLI Series](https://x.com/NVIDIARobotics/status/2094850247184826558) 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! (Exclude… - [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](https://x.com/GoogleDeepMind/status/2094840179676660097) 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 tok… - [Atlas: A World Model for Spatial Intelligence | World Labs](https://x.com/theworldlabs/status/2094839769616589051) 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… - [@0xconglomerate on X](https://x.com/0xconglomerate/status/2094734524563464428) .@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 co… - [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](https://x.com/bareani21645/status/2094613978739593316) 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 near… - [The Robot Report: Skild AI unveils S1 robot foundation model | AI Understanding](https://x.com/aiuorg/status/2094602992565522608) 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… - [Introducing Agentic Video in Gemini](https://x.com/GoogleDeepMind/status/2094840182457422260) 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 … - [@a16z on X](https://x.com/a16z/status/2094542071759872251) 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 … - [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](https://x.com/pstAsiatech/status/2094536116539961624) 下载客户端 登录 无障碍 - +1 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 澎湃新闻记者 滕晗 2026-08-28 11:44 来源：澎湃新闻 ∙ 财经上下游 > 听全文 字号 8月28日，国家发展改革委举行8月份新闻发布会，国家发展改革委政策研究室副主任、委新闻发言人李超在会上强调，机器人产业涉及人工智能、先进制造、新材料等诸多前沿技术，必须坚持因地制宜、健康有序发展，立… - [@SemiAnalysis_ on X](https://x.com/SemiAnalysis_/status/2094530958124847449) 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 … - [Optimize Models with Unsloth | Jetson AI Lab](https://x.com/NVIDIARobotics/status/2094480283135316182) 🎉 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… - [@thehypedotnews on X](https://x.com/thehypedotnews/status/2094464209895424198) 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 – t… - [GitHub - hku-sail/StreamPI: StreamPI: Streaming Multimodal Temporal Modeling for Vision-Language-Action Models · GitHub](https://x.com/DexRobotics/status/2094411289380765788) 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… - [@MelvinInvests on X](https://x.com/MelvinInvests/status/2094409187724017974) 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, i… - [JD.com, Inc.](https://x.com/SlavaOPs/status/2094352372558410095) Authentic Products Delivered Today \\ AI-Powered, ESG-Embedded Industrial Supply Chain Innovation Earns JINGDONG Industrials 2026 Sedex Technoical Innovation Award \\ \\ BEIJING, 27 August 2026 — JING… - [@GabrielnSpace on X](https://x.com/GabrielnSpace/status/2094350888211234898) 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… - [How Figure Became the Biggest Name in Robotics | XMAQUINA DAO](https://x.com/xmaquina/status/2094334389979373824) 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… - [[2604.15483] $π_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities](https://x.com/oskrt_dvs/status/2094332211675664533) 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 ver… - [@davidcao01 on X](https://x.com/davidcao01/status/2094201331011518541) 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 si… - [@Robot_AIsignals on X](https://x.com/Robot_AIsignals/status/2094201246987034914) 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 … - [@Robot_AIsignals on X](https://x.com/Robot_AIsignals/status/2094154690241978745) 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. Tha… - [Nvidia Wants to Run the World’s Robots. China Is an Eager Customer. - WSJ](https://x.com/pstAsiatech/status/2094400792060911848) 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% R… - [South Korea Commits KRW 2.3 Trillion to Build Full-Stack Humanoid Robotics Ecosystem by 2030 | Humanoids Daily](https://x.com/humanoidsdaily/status/2093648555726590278) 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 industr… - [SemiAnalysis ChipBook](https://x.com/SemiAnalysis_/status/2093440227792585076) 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 th… - [MemoryAnchors](https://x.com/du_maximilian/status/2093390863821131915) 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 ne… - [Cicada Market Making on X: "https://t.co/26k9SK56mf" / X](https://x.com/axisrobotics/status/2093684446465798629) 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 comp… - [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](https://x.com/OperationsPLS/status/2095167359006933341) 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. Sta… - [@continuumlabs_ on X](https://x.com/continuumlabs_/status/2093271174012633446) 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 diver… - [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](https://x.com/xmaquina/status/2093247264823316740) 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 p… - [@axisrobotics on X](https://x.com/axisrobotics/status/2093217040295465183) 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 rob… - [@em3kagmi on X](https://x.com/em3kagmi/status/2093212897023271321) 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 exist… - [Optimus Just Entered Production at Fremont. Here's What Changes for Tesla Investors. | The Motley Fool](https://x.com/VanEmmerickKris/status/2094940107484586346) Accessibility Menu ▲ S&P 500 +---% \|▲ Stock Advisor +---% Join The Motley Fool Search for a company Accessibility... Help Arrow-Thin-Down\\ \\ S&P 500\\ \\ 7,673.19\\ \\ +0.5%\\ \\ +41.72 Arrow-Thin-… - [@jinseongeo83473 on X](https://x.com/jinseongeo83473/status/2093061326516224295) $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 con… - [@Rewkang on X](https://x.com/Rewkang/status/2093056014967087389) 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 deployment… - [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](https://x.com/TheHumanoidHub/status/2093387536962076683) 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 tha… - [Not Just a Model, But a Product — DYNA](https://x.com/DynaRobotics/status/2093039146357178475) 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 gaps04D… - [Axis Robotics × Booster: From Digital Twins to a Robot Data Engine](https://x.com/axisrobotics/status/2092884880430661971) 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 … - [@WWTLitee on X](https://x.com/WWTLitee/status/2092840562143772769) 机器人泡沫破了？ 中国巨头Unitree上市估值660亿，转眼腰斩，投资人都在追什么？ 物理AI现在是风投的宠儿，大把银子砸进去，就想把聊天机器人的技术搬到机器人身上。 可Unitree股价崩得这么快，分析师说根源就一个：机器人身体是灵活了，脑子却不会干活。 开发者大会上人头攒动，比去年多了三倍，但每个展台都在喊“数据荒”，缺好数据喂给AI模型。 物理AI还卡在GPT-2时代，想要突破，得堆更多数… - [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](https://x.com/RhysLindmark/status/2092684832199639136) 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 … - [Humanoids are for marketing, robots are the real business](https://x.com/vector__news/status/2092669106319167753) 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 … - [Dynamo Dispatch (2026/08/24) - by Santosh Sankar](https://x.com/ThisIsDynamo/status/2092645452168520089) 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 acros… - [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](https://x.com/_Armitage__/status/2092656782888087910) 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 t… - [@adcock_brett on X](https://x.com/adcock_brett/status/2092628102262477268) 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 … - [@ThomasSmale on X](https://x.com/ThomasSmale/status/2092613535482413228) $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 … - [Robot brain builders are pushing out of their GPT-2 era | TechCrunch](https://x.com/HarryMellsop/status/2092651092026728509) Checking your Browser… Verifying... Stuck? Troubleshoot Success! Verification failed Troubleshoot Verification expired Refresh Verification expired Refresh Troubleshoot Cloudflare, opens in a new tab … - [@0xconglomerate on X](https://x.com/0xconglomerate/status/2092554990829379730) 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.” T… - [@deepakpathak on X](https://x.com/deepakpathak/status/2092500588982583569) @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. - [@axisrobotics on X](https://x.com/axisrobotics/status/2092496995760136399) 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 de… - [@TheHumanoidHub on X](https://x.com/TheHumanoidHub/status/2092388111083065555) 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 acro… - [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](https://x.com/xdofai/status/2092426989542297943) 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 i… - [@rohanpaul_ai on X](https://x.com/rohanpaul_ai/status/2092312459382235407) 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 i… - [@DeryaTR_ on X](https://x.com/DeryaTR_/status/2092312053272707504) 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-c… - [@gupta_abhinav_ on X](https://x.com/gupta_abhinav_/status/2092309532500463836) @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 … - [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](https://x.com/Figure_robot/status/2092305525916794951) 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 … - [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](https://x.com/Figure_robot/status/2092305015075729587) 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 dat… - [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](https://x.com/Figure_robot/status/2092304775035662813) 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 … - [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](https://x.com/adcock_brett/status/2092304764684128285) 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… - [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](https://x.com/Figure_robot/status/2092304596278694350) 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 buil… - [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](https://x.com/adcock_brett/status/2092304283865891009) 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 bee… - [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](https://x.com/humanoidsdaily/status/2092317847645032776) 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 → 16… - [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](https://x.com/adcock_brett/status/2092303633559982106) 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 → 16… - [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](https://x.com/HumanoidInvest/status/2092397968041066740) 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 → 16… - [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](https://x.com/stretchcloud/status/2092379241476247839) 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… - [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](https://x.com/Figure_robot/status/2092303621392376314) 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… - [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](https://x.com/SkildAI/status/2092300850492481818) 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 i… - [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](https://x.com/SkildAI/status/2092300842900865389) 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 prom… - [@maganjot79705 on X](https://x.com/maganjot79705/status/2092155986027110708) 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 gr… - [Introducing Index: Building The World’s Largest and Most Diverse Physical Dataset](https://www.figure.ai/news/introducing-index) 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 ne… - [🤖🍨 Sundae Robotics 06: V-JEPA 2 & Predicting Physical Intelligence · Luma](https://x.com/EdmondIsARobot/status/2092037991619530779) 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 Roboti… - [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](https://x.com/svlevine/status/2092464628815241618) 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 (… - [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](https://x.com/chris_j_paxton/status/2091877313872834800) 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… - [@RoboPapers on X](https://x.com/RoboPapers/status/2091877173292356012) 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… - [@axisrobotics on X](https://x.com/axisrobotics/status/2091797746114244876) 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 arti… - [@TheHumanoidHub on X](https://x.com/TheHumanoidHub/status/2090662734551818253) 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 p… - [Bringing Marble to Life | World Labs](https://x.com/theworldlabs/status/2090479436550602863) 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… - [From Archive to Production: A Hybrid Workflow with Marble | World Labs](https://x.com/theworldlabs/status/2090479434927411551) 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 … - [Cosmos 3 Post-Training in Action With Aigen and Linker Vision | Cosmos Labs - Live Broadcast by NVIDIA Robotics / X](https://x.com/NVIDIARobotics/status/2090469297667920292) \\ \\ REPLAY NVIDIA Robotics @NVIDIARobotics Cosmos 3 Post-Training in Action With Aigen and Linker Vision \| Cosmos Labs Scan to get the app - [@DrJimFan on X](https://x.com/DrJimFan/status/2090465981240086992) 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 s… - [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](https://x.com/HarryMellsop/status/2090481638908314082) 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… - [FAQ | AXIS ROBOTICS](https://x.com/axisrobotics/status/2090351676880486648) 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, … - [Mecka — The Data Engine for Physical AI](https://x.com/SeonhyeGu/status/2090341438764843480) 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… - [Introducing S1: In-Context Learning for Robotics | Skild AI](https://x.com/deepakpathak/status/2093512202083086641) 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… - [AME Agent Swarms Quietly Rewrite the Workflow - IEEE Spectrum](https://spectrum.ieee.org/amd-agent-swarms) 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 A… - [Press-Information June 25th 2026](https://www.press.bmwgroup.com/canada/article/attachment/T0458794EN/651051) 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… - [5 Physical AI infrastructure platforms shaping robotics in 2026 - The Robot Report](https://www.therobotreport.com/5-physical-ai-infrastructure-platforms-shaping-robotics-in-2026) 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 repr… - [5 Physical AI infrastructure platforms shaping robotics in 2026 - The Robot Report](https://x.com/therobotreport/status/2094493447029670279) 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 repr… - [An Electric New Era for Atlas | Boston Dynamics](https://x.com/BostonDynamics/status/1780603212359205323) 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. Custo… - [Physical-Intelligence/openpi](https://github.com/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 … - [OpenVLA:](https://arxiv.org/pdf/2406.09246) 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 Panna… - [From Archive to Production: A Hybrid Workflow with Marble | World Labs](https://www.worldlabs.ai/case-studies/from-archive-to-production) 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 … - [NVIDIA/Isaac-GR00T](https://github.com/NVIDIA/Isaac-GR00T)
NVIDIA Isaac GR00T N1.7 Header

LeRobot, Hugging Face Robotics Library

[![Tests](https://github.com/huggingface/le… - [AgiBot World Colosseo: A Large-scale Manipulation Platform](https://arxiv.org/pdf/2503.06669) 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/OpenDriv… --- Source: Roboterminal · https://roboterminal.app/topics/data.md