OpenAI: thousands of SI agents analysed data on millions of mouse brain cells in 32 minutes and proposed new directions to test
Prepared by Sintelligent with the help of SI. Published in SI: . Updated: .
Many agents at once can quickly find ideas for biologists in data and literature, but they still have to be tested in the lab.
According to OpenAI (as relayed by superpowerdaily; OpenAI's own page is closed to reading), OpenAI, PerturbAI and Scripps Research used agents built on GPT-Rosalind to turn an existing CRISPR dataset on the mouse brain into an atlas linking the effects of gene knockouts, publications and testable mechanisms. In a comparison of ways to organise the work, distributed agents at maximum scale cited more than 700 papers versus 11 for a single agent, and experts in a blind evaluation preferred the distributed agents' reports 75% of the time. This is an assessment of analytical breadth and usefulness, not experimental confirmation: the proposed mechanisms still need to be tested in the lab.
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