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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 görüntüleme • 4 gün önce •via X (Twitter)

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18 Yorum

Gill profil fotoğrafı
Gill4 gün önce

Approximating fluid flows is vastly different from an analytical proof.

Ratna Dewi profil fotoğrafı
Ratna Dewi4 gün önce

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

Lisa Florentina profil fotoğrafı
Lisa Florentina4 gün önce

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

LmaomaoL🎒 profil fotoğrafı
LmaomaoL🎒3 gün önce

10k agents on navier-stokes is wild

GGUFzy profil fotoğrafı
GGUFzy3 gün önce

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

Shannon Schiltz profil fotoğrafı
Shannon Schiltz4 gün önce

Serious scale

TonkaToyXL | AI Test Cabin profil fotoğrafı
TonkaToyXL | AI Test Cabin3 gün önce

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 profil fotoğrafı
ShadowAguy4 gün önce

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

Mehdi Quant profil fotoğrafı
Mehdi Quant4 gün önce

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 profil fotoğrafı
Ava Nakamura3 gün önce

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

Maciej profil fotoğrafı
Maciej4 gün önce

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 profil fotoğrafı
Sebastian Buzdugan3 gün önce

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

NUVC.ai profil fotoğrafı
NUVC.ai3 gün önce

what is the results of that

Crio Songo profil fotoğrafı
Crio Songo4 gün önce

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 profil fotoğrafı
mokla3 gün önce

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

AI Mastery Guide profil fotoğrafı
AI Mastery Guide4 gün önce

10,000 agents is insane scale

Phenomenon Capital profil fotoğrafı
Phenomenon Capital4 gün önce

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.◎ profil fotoğrafı
icefrog.◎4 gün önce

10,000 agents crazy

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.OpenAI President Greg Brockman Greg Brockman: "We've been just very impressed with how this Administration has really embraced AI... There has been a choice of whether to approach it with optimism, and I think that that's what I've really seen from this Administration."

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Travis Kalanick's rule for pacing a company's ambition: "I'm constantly creating problems. 'Hey, let's do Uber in China.' And you don't have a full understanding of that problem when you create it. If you create a problem, you have to solve it." "I have this framework I call the meta problem. The derivative of your problem creation must be less than or equal to the derivative of your problem solving." "If it's not, you have a real problem. You're underwater." "You're guessing at what your capacity is to solve problems, and you're guessing six months, 12, 18 months ahead. When you get it really wrong, you must stop all problem creation so that you can get back above water." travis kalanick benahorowitz.eth Erik Torenberg
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Travis Kalanick's rule for pacing a company's ambition: "I'm constantly creating problems. 'Hey, let's do Uber in China.' And you don't have a full understanding of that problem when you create it. If you create a problem, you have to solve it." "I have this framework I call the meta problem. The derivative of your problem creation must be less than or equal to the derivative of your problem solving." "If it's not, you have a real problem. You're underwater." "You're guessing at what your capacity is to solve problems, and you're guessing six months, 12, 18 months ahead. When you get it really wrong, you must stop all problem creation so that you can get back above water." travis kalanick benahorowitz.eth Erik Torenberg

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Datadog CISO Emilio Escobar says intent is now a must-have for AI security solutions: "These agents are trained on existing code, and they have a reward structure. If code is meant to solve the bug, but it gets rewarded on that, it doesn't care if it's doing something else outside of that." "You have to be careful how you prompt these things, but also how it actually interprets your prompt and executes on that. So we have this judge now evaluating the code output of the agents to then make sure that we're doing that." "I did a roundtable last week about agentic security, and the sense that I got from a bunch of the security leaders was a sense of helplessness. Of just waiting for a commercial solution to come in and solve it all." Emilio Escobar Datadog, Inc.
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Datadog CISO Emilio Escobar says intent is now a must-have for AI security solutions: "These agents are trained on existing code, and they have a reward structure. If code is meant to solve the bug, but it gets rewarded on that, it doesn't care if it's doing something else outside of that." "You have to be careful how you prompt these things, but also how it actually interprets your prompt and executes on that. So we have this judge now evaluating the code output of the agents to then make sure that we're doing that." "I did a roundtable last week about agentic security, and the sense that I got from a bunch of the security leaders was a sense of helplessness. Of just waiting for a commercial solution to come in and solve it all." Emilio Escobar Datadog, Inc.

a16z

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.benahorowitz.eth explains why moats like code and UI may not work in the AI era: "For my entire career, the one thing that you knew about technology companies is you couldn't throw money at the problem." "With AI, that's really changed in that you can throw money at the problem because if you have enough GPUs and enough data, you can basically solve most problems right now." "The capital race becomes a real thing and you have to think through, okay, code is not really a moat the way it was in the past, and user interface isn't really a moat."
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.benahorowitz.eth explains why moats like code and UI may not work in the AI era: "For my entire career, the one thing that you knew about technology companies is you couldn't throw money at the problem." "With AI, that's really changed in that you can throw money at the problem because if you have enough GPUs and enough data, you can basically solve most problems right now." "The capital race becomes a real thing and you have to think through, okay, code is not really a moat the way it was in the past, and user interface isn't really a moat."

a16z

19,416 görüntüleme • 4 ay önce

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.
1:42

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.

Linden

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We asked David Hsu (founder of Retool) about new AI use cases. "The US has invested $1-1.5T into AI, but revenue is only $20-30B. That's a crappy 3% ROI." "My guess is 80% of that revenue is ChatGPT + cloud. But chat is pretty limited, is it going to grow 30x from where we are now?" "Can we figure out some LLM uses cases beyond just chat? What we think is missing is leveraging LLMs to automate labor." "What we're here to really solve is, can we actually allow LLMs to do things in your business (like approving orders or plans). The next frontier for AI is AI that actually does things." "I think we're almost there. That's what we are working on."
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We asked David Hsu (founder of Retool) about new AI use cases. "The US has invested $1-1.5T into AI, but revenue is only $20-30B. That's a crappy 3% ROI." "My guess is 80% of that revenue is ChatGPT + cloud. But chat is pretty limited, is it going to grow 30x from where we are now?" "Can we figure out some LLM uses cases beyond just chat? What we think is missing is leveraging LLMs to automate labor." "What we're here to really solve is, can we actually allow LLMs to do things in your business (like approving orders or plans). The next frontier for AI is AI that actually does things." "I think we're almost there. That's what we are working on."

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Greg Brockman on AGI arriving quietly and unevenly: "I think that AGI has turned out to be less of a point in time and more of this sort of fuzzy spectrum. And for me, Astra has really hit something that I'm like, 'Okay, I think this is pretty reasonable to call it AGI.'" "With its computer use capabilities, you really can ask it to do long-lived tasks, and it'll just do it. We've seen it run coherently for 24 hours to go accomplish tasks that I think are quite amazing and across a wide variety of domains." "It still is jagged... It's the first time it's not slop writing. But it's not great writing. There are a number of areas where I feel like we just need to polish it a little bit, and it would be fantastic. It's just not quite there." "What people are finding is that it is so capable across such a wide variety of tasks, that it is accelerative, it is empowering, and it's something that I think we've never really seen a model that's been a jump like this." Greg Brockman
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Greg Brockman on AGI arriving quietly and unevenly: "I think that AGI has turned out to be less of a point in time and more of this sort of fuzzy spectrum. And for me, Astra has really hit something that I'm like, 'Okay, I think this is pretty reasonable to call it AGI.'" "With its computer use capabilities, you really can ask it to do long-lived tasks, and it'll just do it. We've seen it run coherently for 24 hours to go accomplish tasks that I think are quite amazing and across a wide variety of domains." "It still is jagged... It's the first time it's not slop writing. But it's not great writing. There are a number of areas where I feel like we just need to polish it a little bit, and it would be fantastic. It's just not quite there." "What people are finding is that it is so capable across such a wide variety of tasks, that it is accelerative, it is empowering, and it's something that I think we've never really seen a model that's been a jump like this." Greg Brockman

a16z

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Bloomberg

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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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.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

a16z

34,900 görüntüleme • 1 ay önce