Sam Altman reveals OpenAI barely understood how to scale AI agent swarms even as they tackled some of mathematics' hardest problems. He expects major progress in swarm coordination within 3 months and believes the same approach could automate AI research itself.

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Summary

Sam Altman revealed OpenAI barely understood how to scale AI agent swarms while tackling hard mathematics problems, forecasting major swarm-coordination progress within three months and suggesting the approach could automate AI research itself.

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This article analyzes the capabilities and scaling dynamics of large AI agent swarms, citing OpenAI's recent examples, and discusses their potential as a new form of inference scaling.