OpenAI agents analyze mouse brain data in 32 minutes, a job that would take humans months
- Who
- OpenAI, PerturbAI, and Scripps Research
- What
- describe using distributed AI agents to uncover research leads in data from millions of brain cells
- Quote
OpenAI teamed up with PerturbAI and Scripps Research to deploy thousands of AI agents that analyzed biological data from millions of mouse cells.
What happened
OpenAI teamed up with PerturbAI and Scripps Research to analyze a whole-brain CRISPR atlas using thousands of GPT-Rosalind agents, completing the work in 32 minutes. Each agent examined one gene perturbation and searched scientific literature; the team estimates manual analysis would take several months to a year. Human experts preferred distributed agents' reports over single-agent reports 75 percent of the time in blind comparisons, and the resulting Reasoning Atlas is available on GitHub with an accompanying bioRxiv paper.
Why it matters
The reported expert preference for distributed agents over a single agent offers a concrete comparison of how agent organization can affect the usefulness of biological analysis reports.
Read next
See the full storyOpenAI, PerturbAI, and Scripps Research Use AI Agents to Analyze Mouse Brain DataReported by 2 sources
The story so far
OpenAI, PerturbAI, and Scripps Research used thousands of GPT-Rosalind agents to analyze a whole-brain CRISPR atlas in 32 minutes and identify promising research leads, The Decoder reported; the resulting Reasoning Atlas is available on GitHub with an accompanying bioRxiv paper. The analysis covered data from millions of mouse brain cells. Each agent examined one gene perturbation and searched scientific literature. The team estimated that manual analysis would take several months to a year. In blind comparisons, human experts preferred the distributed agents’ reports over single-agent reports 75 percent of the time, according to The Decoder.
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