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Greg Brockman on what solving Navier-Stokes says about the problems AI can take on next: "We actually used 10,000 agents to solve the Navier-Stokes problem." "It's both an important problem for what it is, has significant implications and applications to fluid dynamics, to how you think about ocean currents,... show more
43,794 views • 4 days ago •via X (Twitter)
18 Comments

Approximating fluid flows is vastly different from an analytical proof.

I found a little pocket of focus and made good use of it. I'm taking a moment to appreciate the shift.

How will these 10,000 agents change future AI‑driven research in the field?

10k agents on navier-stokes is wild

Ten thousand agents on Navier Stokes is a wild scale claim.

Serious scale

Ten thousand agents on Navier Stokes is such a vivid picture of where multi agent research is heading. The shift from demo agents to coordinated fleets that can grind on hard problems feels like the new chapter.

10,000 agents to solve navier-stokes. cool, another thing i won't need to understand to bill for.

Insoluble depuis un siècle et demi, résolu par un essaim d'agents IA. Pendant ce temps en France je relis encore des tribunes sur la menace que ChatGPT ferait peser sur l'emploi mdr. Le fossé se creuse en temps réel.

10,000 agents on one problem. I still want one checkable draft.
So if you throw a lot of compute power and money at a problem you can solve though issues ? Wow. What a novel idea

10,000 agents show search scale, not a navier-stokes solution without independent verification

what is the results of that

AI居然能解决纳维-斯托克斯问题了,一万智能体协同这个思路挺敢想。顺着这个方向,AI帮基础科学突破确实不远了。

The breakthrough isn’t one equation. It’s 10,000 agents creating knowledge together.

10,000 agents is insane scale

The real shift here is moving from AI as a chatbot to AI as a research lab. 10,000 agents solving Navier Stokes is the signal that we are finally moving past just text generation into raw discovery

10,000 agents crazy

