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Artificial Intelligence

OpenAI says agents analysed mouse brain atlas in 32 minutes

OpenAI, PerturbAI and Scripps Research said thousands of GPT-Rosalind agents processed a mouse-brain CRISPR atlas in 32 minutes, then produced a searchable set of findings that matched earlier human conclusions.

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OpenAI, PerturbAI and Scripps Research said thousands of GPT-Rosalind agents processed a mouse-brain CRISPR atlas in 32 minutes. They said human researchers would have needed months to a year, and the work appeared in a bioRxiv preprint that had not yet been peer reviewed.

The atlas came from Xin Jin’s lab at Scripps Research and was published on Hugging Face. It covered nearly 2,000 genes that were switched off one by one in living mice, and the effects were measured across millions of brain cells.

The team said it gave each gene disruption to its own agent, which examined cell responses, searched the literature and wrote a report. Later agents combined those reports into a searchable atlas of 3,397 findings, and the authors said the model still recovered the paper’s main conclusions.

The paper highlighted possible leads involving Tsc1, Tsc2 and Dctn1, but said they remained hypotheses and had not yet been tested experimentally. The team also compared the distributed setup with a single agent using the same model and resources, and said 30 doctoral-level experts preferred the distributed interpretation in 45 of 60 judgments.

Named in this story

People

Xin Jin
senior author whose lab built the atlas
Tomasz Nowakowski
a neuroscientist quoted in OpenAI’s announcement
Sarah Teichmann
quoted on AI helping researchers

Companies

OpenAI
described the project and supplied GPT-Rosalind
PerturbAI
co-described the project and co-authored the preprint
Hugging Face
hosted the whole-brain CRISPR atlas

Organisations

Scripps Research
co-described the project and hosted Xin Jin’s lab
bioRxiv
hosted the preprint before peer review
University of California, San Francisco
his affiliation
University of Cambridge
her affiliation
Human Cell Atlas
the research initiative Teichmann co-chairs

Products and systems

GPT-Rosalind
the life-sciences model the agents used

How the source tells it

Mostly explanatory and evidence-led, but it closed with mild boosterish framing about what distributed AI might enable.

  • boosterism The speed comparison against months of human work and the closing judgement about why the result matters frame the piece as a proof point for the technology.