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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

a16z

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43,794 次观看 • 4 天前 •via X (Twitter)

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18 条评论

Gill 的头像

Gill3 天前

Approximating fluid flows is vastly different from an analytical proof.

Ratna Dewi 的头像

Ratna Dewi4 天前

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

Lisa Florentina 的头像

Lisa Florentina3 天前

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

LmaomaoL🎒 的头像

LmaomaoL🎒3 天前

10k agents on navier-stokes is wild

GGUFzy 的头像

GGUFzy3 天前

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

Shannon Schiltz 的头像

Shannon Schiltz4 天前

Serious scale

TonkaToyXL | AI Test Cabin 的头像

TonkaToyXL | AI Test Cabin3 天前

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.

ShadowAguy 的头像

ShadowAguy4 天前

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

Mehdi Quant 的头像

Mehdi Quant4 天前

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.

Ava Nakamura 的头像

Ava Nakamura3 天前

10,000 agents on one problem. I still want one checkable draft.

Maciej 的头像

Maciej4 天前

So if you throw a lot of compute power and money at a problem you can solve though issues ? Wow. What a novel idea

Sebastian Buzdugan 的头像

Sebastian Buzdugan3 天前

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

NUVC.ai 的头像

NUVC.ai3 天前

what is the results of that

Crio Songo 的头像

Crio Songo4 天前

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。

mokla 的头像

mokla3 天前

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

AI Mastery Guide 的头像

AI Mastery Guide4 天前

10,000 agents is insane scale

Phenomenon Capital 的头像

Phenomenon Capital3 天前

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

icefrog.◎ 的头像

icefrog.◎4 天前

10,000 agents crazy

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OpenAI President Greg Brockman on solving the Navier-Stokes problem: "If we have models that can solve this kind of problem, what happens from here?" "I think that talking about curing diseases and new medicines we're going to be able to develop, all of that starts to become much more real when you have models that are at this level of assistance and capability." "[This result] is really about the broader insights and methods that can help scientists and mathematicians further accelerate their research."

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Cognition founder and 3x Olympiad gold medalist Scott Wu on the Navier-Stokes solution: "It's actually insane...guys, we just solved Navier-Stokes with AI. That is absurd. And I don't think it's going to stop." "All of this stuff is just going to get done. It's hard to put into words if you're not familiar with the scale of it. But Navier-Stokes is a very fundamental problem about fluid dynamics and such. It's been around forever, basically. And lots of people have sunk lots and lots of time into it." "The fact that this can even just be done in like a week — it's insane."

Cognition founder and 3x Olympiad gold medalist Scott Wu on the Navier-Stokes solution: "It's actually insane...guys, we just solved Navier-Stokes with AI. That is absurd. And I don't think it's going to stop." "All of this stuff is just going to get done. It's hard to put into words if you're not familiar with the scale of it. But Navier-Stokes is a very fundamental problem about fluid dynamics and such. It's been around forever, basically. And lots of people have sunk lots and lots of time into it." "The fact that this can even just be done in like a week — it's insane."

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This thread reminded me of Thiel's take on biology and the excuses of biologists for why we aren't solving hard problems (I have a biology background and work as a scientist and still agree with him). My take is that AI won't solve biology, but it will help us understand it at a deeper level. Saying that it is impossible is a lazy take. Saying that AI will solve all problems is a lazy take too. There is an in-between where AI will support and help scientists move things forward. I am really tired of the excuses of the gatekeeper boomer scientists and the hype of the AI bros.

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.Applied Intuition wants to make robotics as easy as building an iPhone app: "Dana is our new agentic platform for physical AI. This really is the culmination of pretty much everything we've worked on now over the last decade." "Building physical AI is extremely complicated... We know how to make the chips. We know how to make the hardware for these systems. It's more so actually developing all of this technology and getting it to work that is very, very difficult." "With modern AI and with this new Dana platform, we're really drastically reducing the barrier to entry to building physical AI and deploying it in the real world." "If you're building an app for an iPhone, high school kids can do that now because there's all of these things that exist and that make it easy... It's very hard to do that in terms of robotics." "The thing that Peter's really emphasizing and thing that we really wanna do is just lower the bar. So anybody really out there, starting with engineers, but ultimately really anybody can develop robots." Applied Intuition Co-founders Peter Ludwig and Qasar Younis on Business Breakdowns

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