OpenAI, PerturbAI, Scripps Research use thousands of distributed AI agents to analyze brain cell data

An OpenAI post describes the collaboration between OpenAI, PerturbAI, and Scripps Research: the three parties used thousands of distributed AI agents to screen data from millions of brain cells, aiming to find new research leads. The post emphasizes how distributed agents are used on large-scale biological data rather than the performance metrics of any single model. For teams in bioinformatics and computational neuroscience, the key point is splitting candidate-lead discovery across massive cell-level datasets into many parallel agent tasks instead of relying on manual, one-by-one screening. Research institutions and data platform teams running similar screening projects can use this to assess the feasibility of agent parallel orchestration in terms of data volume and task partitioning. The original post does not disclose the specific models used or cost or accuracy figures beyond the agent count.