OpenAI 智能体 32 分钟完成小鼠大脑数据分析，人工需数月
OpenAI agents analyze mouse brain data in 32 minutes, a job that would take humans months
AI 导读
OpenAI 与 PerturbAI、Scripps Research 合作，部署数千个基于 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。
摘要与补充说明
每个智能体负责一个基因扰动，分析细胞反应并检索科学文献寻找解释；团队估计人工完成同样分析需数月至一年。智能体发现两个疾病相关基因之间存在意外差异，以及胆固醇调控与神经退行性病变的可能关联。在盲测比较中，人类专家有 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。
正文
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.
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