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.
- OpenAI, PerturbAI and Scripps Research said thousands of GPT-Rosalind agents analysed a mouse-brain CRISPR atlas in 32 minutes.
- The atlas covered nearly 2,000 genes switched off one at a time in living mice, with effects measured across millions of brain cells.
- The team said the agents recovered the main conclusions of the original paper and produced a searchable atlas of 3,397 findings.
- In tests, 30 doctoral-level experts preferred the distributed system in 45 of 60 judgments, and the agents got 59 of 100 held-out disruptions right while identifying 142 of 172 no-effect cases.
- The preprint said the new leads had not yet been tested experimentally.
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 They said human researchers would have needed months to a year, and the work appeared in a bioRxiv preprint that had not yet been peer reviewed.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.