OpenAI runs thousands of GPT-Rosalind agents to analyze millions of mouse brain cells in 32 minutes
GK3 · x · 2026-10-22
OpenAI, with Perturb AI and Scripps Research, deployed thousands of GPT-Rosalind agents in parallel to analyze gene-expression data from millions of mouse brain cells — compressing months-to-a-year of human work into 32 minutes.
Key findings:
- The agents surfaced a new drug-discovery lead: disrupting DCTN1 (linked to rare neurodegenerative Perry syndrome) increased expression of cholesterol-related genes, suggesting cholesterol may not reach neurons where needed — a testable mechanism that could point to new treatments for Alzheimer's, Parkinson's and related disorders.
- The accompanying chart shows distributed agents cite literature superlinearly with workload: over 700 references at the largest workload (893 perturbations) vs. just 11 for a single agent.
A landmark demo of large-scale agent swarms generating early-stage scientific hypotheses.
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