207 summarised stories about Claude, each linking back to the original source. Browse all topics →
Simon Willison’s Weblog 1 month ago 39 ● 2 sources
Simon Willison posted an LLM briefing beat for Anthropic developments. It was published on 2nd September 2026. The post updates readers with monthly counts and prompts them to subscribe for a curated email digest.
Trending Topics 1 month ago 39 ● 4 sources
Anthropic launched Claude Fable 5.1 (and Claude Mythos 5.1) with restricted availability for vetted organizations. Artificial Analysis measured Fable 5.1 at 3.76 dollars per Intelligence Index task at max effort, about 20 percent more than Fable 5 despite Anthropic’s cache-read price cut. Token-heavy tasks become effectively pricier than the prior model, even as cache-read costs drop and performance scores reach new highs at the highest reasoning setting.
Simon Willison’s Weblog 1 month ago 46
Paint.NET’s author said Direct2D on WINE was too incomplete to finish, so the app now uses a from-scratch, clean-room reverse-engineered Direct2D rewrite activated with /wine. The rewrite is contained in PaintDotNet.Windows.Direct2D1.Managed.dll and totals about 180,000 lines of code. This changes Paint.NET on WINE by bypassing Direct2D instead of disabling it, at the cost of needing ongoing oversight for resource management and design issues.
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19 October 2026
The day’s biggest thread was the messy middle between “agents that act” and the systems that prove they won’t act badly. Hugging Face policy chief Irene Solaiman warned that embedded AI evaluators and today’s benchmarking are still too immature to trust without better reproducibility and clearer comparisons, especially as evaluation is shifting from model-only tests to full-system setups that include the harness and agent—raising cost and forcing standardization. That concern landed alongside a Princeton-led paper on emerging agent-evaluation trends: ExploitBench runs can burn tens of thousands of credits, and the authors argue the field needs more independent, multi-layer evaluation, including real-world and human-impact studies, plus a better evaluation ecosystem.
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