OpenAI 智能体32分钟完成小鼠脑数据分析，人工需数月
OpenAI agents analyze mouse brain data in 32 minutes, a job that would take humans months
OpenAI 与 PerturbAI、Scripps Research 合作，用数千个基于 GPT-Rosalind 的 AI 智能体分析覆盖数百万小鼠细胞的全脑 CRISPR 图谱，整个分析耗时32分钟，团队估计人工完成需数月至一年。每个智能体负责一个基因扰动，分析细胞反应并检索文献寻找解释，结果发现两个疾病相关基因间的意外差异，以及胆固醇调控与神经退行性变的可能关联。盲测中人类专家在75%的情况下更偏好分布式智能体的报告，而非单一智能体的报告；生成的 Reasoning Atlas 已在 GitHub 公开，配套论文发布在 bioRxiv。
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数千个智能体在32分钟内完成原本需数月至一年的小鼠脑数据分析，并给出可复现的公开图谱与论文。
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OpenAI teamed up with PerturbAI and Scripps Research to deploy thousands of AI agents that analyzed biological data from millions of mouse cells. According to OpenAI , the agents ran on GPT-Rosalind and worked through a whole-brain CRISPR atlas, which maps how gene changes affect different cell types in the mouse brain.
The full analysis took 32 minutes. Each agent took on a single gene perturbation, analyzed how the cells responded, and searched the scientific literature for explanations. The team estimates that doing the same analysis by hand would take anywhere from several months to a year.
Among other findings, the agents turned up unexpected differences between two disease-related genes and a possible link between cholesterol regulation and neurodegeneration. In blind comparisons, human experts preferred the distributed agents' reports over those from a single agent 75 percent of the time. The resulting "Reasoning Atlas" is available on GitHub , and the accompanying paper is out on bioRxiv.
OpenAI says these leads should help researchers decide which mechanisms to test in the lab first.