OpenAI, PerturbAI and Scripps Research say AI agents did in 32 minutes what usually takes human scientists months. The claim has not been checked by outsiders.
OpenAI says a team of AI programs worked through data on millions of mouse brain cells in just 32 minutes. A job like that normally takes human researchers months. The work was done with PerturbAI and Scripps Research, and the goal was to help scientists spot promising leads for further study.
The project used thousands of AI agents called GPT-Rosalind. An AI agent is a program that can take on a task and work through it with little hand-holding. Here, the agents split the job into pieces and ran side by side, instead of one after another.
Studying brain cells at this scale is slow, careful work. If AI can sort through the data this fast, scientists could find ideas worth testing much sooner. That could speed up research that leads to new medicines, though that is a long road from a data sorting job.
The numbers come from the companies themselves. Outside reviewers have not checked them. The material does not say how good the leads were, how many proved useful, or whether the agents made mistakes. It also does not say when the tool might be available to other scientists. Speed alone does not show the results are right.
A 32 minute result sounds striking, but it is the companies' own claim, and the quality of the findings is still unproven.
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