スコット・アロンソンがブログで、大規模言語モデル（LLM）が自己参照的な問題をどのように処理し、その限界やパラドックスとの関係について理論的な観点から分析している
Claude explained the decades-old mystery of the origins of one of the most popular cryptographic standards, the ECDSA curve.
Google Research published a piece on building blocks for autonomous wet labs that ground AI agents in biological reality.
Claude worked largely on its own to design quantum circuits that improve on the best published versions, achieving an order of magnitude or more improvement in some cases.
Analysis shows 90% of US working hours are spent on tasks not well covered by unsaturated, public, agentic AI benchmarks.
StarSkirmish Bench, a benchmark where LLMs play StarCraft BW by writing code, was updated with results from flagship models of major AI companies.