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Massive agent swarms just turned scientific discovery into a compute-scaling problem
◆ 90RelevanceOn a story from Latent Space1mo ago
OpenAI's use of 10,000 agents to solve a Millennium Prize problem proves that high-end R&D is now an orchestration and capital challenge. For founders, this validates the transition from AI as a co-pilot to AI as an autonomous, large-scale research lab.
Takeaways
- A $40M token spend can now solve world-class mathematical singularities in days.
- The moat in deep tech is shifting from human expertise to agent orchestration.
- Agentic scaling has officially moved beyond coding into fundamental scientific breakthroughs.
Read the original at latent.space
[AINews] OpenAI reports Navier-Stokes singularity find in 88 hours using Astra-next, roughly 10,000 agents and 130B tokens (>$40M), a contender for second ever Millennium Prize awarded
fmode.me/n/ainews-openai-reports-navier-stokes-singularity-find-in-88-hours-using-astra-next-roughly-10000-agents-and-130b-tokens-40m-a-contender-for-second-ever-millennium-prize-awarded
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to Latent Space.
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