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Models2026-09-01 · source-backed
The August benchmark round covers 187 models, and the re-evaluation result is more useful than the leaderboard (TIMETOACT). A pinned model string is not a pinned capability. If your evals or production prompts assume stability across a model alias, you are assuming something nobody promised you. Single-source benchmark, so treat the absolute scores as indicative, but the re-test methodology is sound and the finding is the kind that only shows up if you bother to re-run.
Each link below shares sources, entities, or timing with this story.
Jack Clark's Import AI 464 (around July 6) led with something I've been turning over all week. Claude Fable autonomously wrote what Clark calls "the first genuine (and fastest) megakernel" submitted to the KernelBench-Mega leaderboard. An 18.71x speedup in hand-written CUDA on...
Barry Zhang and Mahesh Murag, the engineers who built Claude Skills at Anthropic, published a talk and engineering post that's gotten 14K+ likes and is reshaping how I think about agent development. The core argument: most agent approaches fail because they lack domain experti...
Anthropic shipped Fable 5 on June 9. Willison spent ~5.5 hours stress-testing it: slow and expensive, but it handled everything he threw at it, including agentic coding. (Simon Willison) The tell that it's a real working model and not a benchmark queen: because it post-dated A...
Huang used his inaugural X post on July 24 to publish "Open Weights and American AI Leadership," a three-page letter on Nvidia's own servers signed by 25 companies including Meta, Microsoft, IBM, Mistral, Mozilla, Hugging Face, a16z, Palantir and the Linux Foundation. Within a...
On June 9, Anthropic released Claude Fable 5 and Mythos 5 across Claude.ai, Claude Code (CLI and web), and Cowork. The spec sheet: 1M-token context, 128K max output, a January 2026 knowledge cutoff, and pricing at $10 input / $50 output per million tokens. That's double Opus 4...
Moonshot AI released Kimi K3, a sparse mixture-of-experts activating 16 of 896 experts per token. That's about 1.8% of the pool live at any moment, with a 1M-token context window and native vision. Two new architectural pieces show up: Kimi Delta Attention and Attention Residu...
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