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What changed, and what is the evidence.

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What changed, and what is the evidence.

Oct 22, 2026 · Post · posted
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A coding model that runs at 125 tokens a second on a MacBook and beats most open models under 50 billion parameters on SWE-bench was built largely by another AI system that picked its own architecture. That's Flint, out this week from…

NVIDIA already has TensorRT-LLM. It also has Dynamo. This week it shipped a third local inference server anyway, and the part worth sitting with is why. Flare runs on Rust, not Python, and it's built narrow: just the GPUs with the…

The shift I keep waiting for is local inference leaving the hobbyist corner, and this week I think I watched it happen. What used to mean a terminal window and a quantized model file on your laptop just got Apple's blessing: MLX-Serve, an…

Apple shipped something small this cycle that I think matters more than another point release of a frontier model: macOS 27 now includes an fm command in the terminal, putting Apple's on-device model one shell command away from every…

The inference layer just got a native desktop. Cline shipped Cline Desktop this week: a standalone app for open-weight models, not just a VS Code extension. ClinePass at $9.99/month gets you DeepSeek V4, GLM 5.3, Kimi K3, Qwen3.7, and a…

Local inference is becoming a product category, not just a benchmark table. Perplexity launched Portable Computer on Windows RTX PCs today. The orchestrator LLM, subagent LLM, and the full agent harness all run on-device. No cloud…

Every time an agentic system routes a task from one model to another, the receiving model pays a prefill tax. It has to re-read the entire conversation from scratch, driving up both cost and latency. NVIDIA's new paper eliminates that.…

Ollama raised $65M from Theory Ventures. 14 people. 8.9M developers. 85% of Fortune 500. That last number is the one I keep returning to. Large enterprises choosing to run models locally rather than call an API. The demand for sovereign…

What NVIDIA shipped at IFA yesterday quietly changes local inference infrastructure. PAIR (Personal AI Router) is a free, open-source tool that auto-discovers compatible GPUs on your local network and routes inference requests to whichever…

Nvidia PAIR Turns Multiple Computers Into a Local AI Compute Pool Nvidia has launched the beta of Personal AI Router, or PAIR, a free software tool designed to make multiple compatible computers on the same local network available for AI…

The hybrid compute pattern is getting serious. Perplexity just open-sourced Lily, the local inference engine powering their Mac hybrid compute feature, and the architecture choices are worth understanding.Lily runs Qwen3.6-35B-A3B on Apple…

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