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OpenAI announces swarm of agents solves Navier-Stokes problem

OpenAI announced on September 8th that a swarm of thousands of agents, powered by an advanced model, solved the Navier‑Stokes existence and smoothness problem in 88 hours. The swarm sent about 2.7 million messages and coordinated with minimal human oversight, demonstrating that large‑scale agent collaboration can tackle complex scientific tasks.

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Key points

  • OpenAI’s swarm solved Navier‑Stokes in 88 hours with 2.7 million messages
  • The swarm used a thin coordination structure, shifting problem focus to Navier‑Stokes
  • The author argues agents can self‑organize, reducing the need for elaborate human management

The author notes that this achievement illustrates the Bitter Lesson: tasks once thought to require elaborate human rules can be solved by brute‑force learning. He contrasts the swarm’s thin coordination structure with traditional management, arguing that agents can self‑organize and delegate without the principal‑agent problems that plague human teams. While the swarm’s success is impressive, the author cautions that self‑organizing agents can still head in unexpected directions, as seen in the Hugging Face incident.

The article frames the swarm’s work as a milestone for AI‑driven organization, suggesting that as agents become cheaper to deploy, firms may expand the scope of tasks they can automate.

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The story so far

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  1. OpenAI announces swarm of agents solves Navier-Stokes problemthis story
Full story from One Useful Thing · by Ethan MollickOpen source ↗

The Dot and the Swarm

One Useful Thing · 1 October 2026

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This text was published by One Useful Thing and written by Ethan Mollick. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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