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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,...

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a16z

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43,794 просмотров • 4 дней назад •via X (Twitter)

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Комментарии: 18

Фото профиля Gill
Gill4 дней назад

Approximating fluid flows is vastly different from an analytical proof.

Фото профиля Ratna Dewi
Ratna Dewi4 дней назад

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

Фото профиля Lisa Florentina
Lisa Florentina4 дней назад

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

Фото профиля LmaomaoL🎒
LmaomaoL🎒3 дней назад

10k agents on navier-stokes is wild

Фото профиля GGUFzy
GGUFzy3 дней назад

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

Фото профиля Shannon Schiltz
Shannon Schiltz4 дней назад

Serious scale

Фото профиля TonkaToyXL | AI Test Cabin
TonkaToyXL | AI Test Cabin3 дней назад

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.

Фото профиля ShadowAguy
ShadowAguy4 дней назад

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

Фото профиля Mehdi Quant
Mehdi Quant4 дней назад

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.

Фото профиля Ava Nakamura
Ava Nakamura3 дней назад

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

Фото профиля Maciej
Maciej4 дней назад

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

Фото профиля Sebastian Buzdugan
Sebastian Buzdugan3 дней назад

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

Фото профиля NUVC.ai
NUVC.ai3 дней назад

what is the results of that

Фото профиля Crio Songo
Crio Songo4 дней назад

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。

Фото профиля mokla
mokla3 дней назад

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

Фото профиля AI Mastery Guide
AI Mastery Guide4 дней назад

10,000 agents is insane scale

Фото профиля Phenomenon Capital
Phenomenon Capital4 дней назад

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

Фото профиля icefrog.◎
icefrog.◎4 дней назад

10,000 agents crazy

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a16z

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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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