OpenAI等团队用AI智能体分析小鼠脑数据，32分钟完成需人工数月到一年的工作
OpenAI agents analyze mouse brain data in 32 minutes, a job that would take humans months
OpenAI与PerturbAI、Scripps Research合作，使用运行于GPT-Rosalind的数千个AI智能体分析数百万个小鼠细胞的全脑CRISPR图谱，耗时32分钟；团队估计人工完成同一分析需数月到一年。
同一新闻，精选展示《OpenAI、PerturbAI 与 Scripps Research 用数千个 AI 智能体从生物数据中挖掘新线索》
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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来源：The Decoder · the-decoder.com