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TheoPhysEval 用50道未发表物理研究题评测 AI 智能体

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TheoPhysEval 采用研究者提供的50道未发表理论物理题,每题约需专家一天完成;智能体独立作答,仅按最终数值答案评分。据介绍,GPT-6-Astra 在 Codex 中使用网络搜索答对49题;不使用搜索时,它与 Claude Code 中的 Opus 5.5 均答对46题。

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– https://t.co/TUfh8w8E3O

Title: "TheoPhysEval: Assessing AI agents at autonomous theoretical physics problem solving"

回复Rohan Paul@rohanpaul_ai
New paper from Google Deep Mind, and many top Universities finds the best AI agent tested solved 49 of 50 unpublished research-level theoretical physics problems, each roughly a day's work for a world expert. at under $3 each. Benchmarks for AI in physics often use textbook or contest problems, or block the tools real researchers use. So it was unclear how agents handle the calculations that fill daily research. Experts contributed 50 unpublished problems from their own research, each about a day's work for a specialist. Agents worked alone, with and without web search, and were graded only on final numerical answers. GPT-6-Astra in Codex solved 49 of 50 with web search, and both it and Opus 5.5 in Claude Code solved 46 of 50 without it. Accuracy barely changed without search, which suggests the models have memorized much of the physics literature.
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来源:Rohan Paul · x.com

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