Research

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On Oct 20, 2026, Anthropic reported that an internal research model running inside Claude Science autonomously designed protein binders against scorpion neurotoxins: 318,484 designs filtered to 211 sent to the lab, 17 confirmed binders at two labs. This piece checks the numbers and the limits, takes apart the explore→filter→wet-lab-truth loop, and offers a framework for reading autonomous science-agent results.

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A close read of arXiv:2610.19095. Chatbot Arena (LMArena) gives each model one Bradley–Terry score, which assumes Luce's choice axiom. On 1.8 million votes, versions of one model are judged 1.37x more decisively than their score gap implies, sizes of one generation 1.26x, models of one lab 1.12x. The overall order barely moves, but head-to-head odds between siblings are pulled toward even. The mechanism, how strong each piece of evidence is, how it relates to style control and the Leaderboard Illusion, and what to do when you read or build a pairwise leaderboard.

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OpenAI released 700+ AI math manuscripts, then withdrew three. We split "AI proved X" into five layers, show what a machine checks, and give an audit checklist.

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Reading Anthropic’s guest post on Fable 5.1 inside Claude Science: planar N=4 SYM nine-loop hexagon amplitudes via an explicit science harness and minimal human intervention—harness × agent-loop, not a bigger-model story.