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🔁 Agentic Edition: Agent runs you can rewind, MCP tools over zero-trust P2P, and a tool caller that fits in 28MB of RAM

A mesh that authorizes offline, a harness where the control loop is a plugin, a browser with no Chromium. AND: Shepherd forks the process and filesystem together, 5× faster than Docker.

Aug 20, 2026

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5 min read

🚨 96.8% of KernelBench taken from torch.compile, a 300M drafter at 3.18x, and HF checkpoint → C++ in two commands

A checkpoint reaching native C++ without ONNX, OIDC claims sealed into Biscuit tokens, and a 300M drafter running nine tokens ahead. The honest range on that last one is 1.04x to 3.18x, because speedup tracks acceptance.

Aug 20, 2026

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6 min read

🚨 Muse Glimmer's 16-token block drafter, NVFP4 weights on one H100, and video in an 8× compressed latent

3B active out of 30B. 4-bit weights in 24 GB at 1.0% degradation. An escalation router sending 7% of calls upstream. Six releases, zero new base models, and one paper arguing the metrics underneath all of it are broken.

Aug 13, 2026

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7 min read

🚨 Meta's 4-bit 30B in 24 GB of VRAM, NVIDIA's 448 ms full-duplex turns, and an agent runtime that forks 5× faster than Docker

Six releases, and not one of them was decided by a benchmark. VRAM ceilings, license text, and deployment targets did the deciding. Meta got a 30B under 20 GB. webAI shipped 1.78 GiB you may not sell. NVIDIA published permissive weights and tagged them research-only.

Aug 11, 2026

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5 min read

🚨 NVIDIA's agent-in-one-Python-class, a 2.6B agent running on your phone, and a harness that beat the human baseline on ARC-AGI-3

Mistral's guardrail that takes the policy as a prompt, Microsoft's test agent at 92.1% vs 78.9% on the same model, and NVIDIA collapsing an agent into one Python class. This week the differentiation lived in the substrate, not the weights.

Aug 9, 2026

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6 min read

🚨 Prime Agent hits 95.5% on ARC-AGI-3, Cursor's MoE megakernel at 2.37×, and a charting library shipping 10M points in 258 KiB

A skill trained in Codex outscored the one Claude Code trained for itself — 81.8 against 80.4. And a deterministic MoE megakernel, a 34B open VLA, and 100 million points rendered in 0.081s.

Aug 6, 2026

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6 min read

The AI NewsletterBuilt for AI Devs & Researchers

50K+

Daily

Free

Latest AI Insights

🔁 Agentic Edition: Agent runs you can rewind, MCP tools over zero-trust P2P, and a tool caller that fits in 28MB of RAM

🚨 96.8% of KernelBench taken from torch.compile, a 300M drafter at 3.18x, and HF checkpoint → C++ in two commands

🚨 Muse Glimmer's 16-token block drafter, NVFP4 weights on one H100, and video in an 8× compressed latent

🚨 Meta's 4-bit 30B in 24 GB of VRAM, NVIDIA's 448 ms full-duplex turns, and an agent runtime that forks 5× faster than Docker

🚨 NVIDIA's agent-in-one-Python-class, a 2.6B agent running on your phone, and a harness that beat the human baseline on ARC-AGI-3

🚨 Prime Agent hits 95.5% on ARC-AGI-3, Cursor's MoE megakernel at 2.37×, and a charting library shipping 10M points in 258 KiB

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The AI Newsletter
Built for AI Devs & Researchers