Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

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,...

a16z's profile picture

a16z

1,076,487 subscribers

43,794 Aufrufe • vor 4 Tagen •via X (Twitter)

Wissenschaft & Technologie
LIVE

Anya Rossi• Live Now

Private livecam show

18 Kommentare

Profilbild von Gill
Gillvor 3 Tagen

Approximating fluid flows is vastly different from an analytical proof.

Profilbild von Ratna Dewi
Ratna Dewivor 4 Tagen

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

Profilbild von Lisa Florentina
Lisa Florentinavor 3 Tagen

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

Profilbild von LmaomaoL🎒
LmaomaoL🎒vor 3 Tagen

10k agents on navier-stokes is wild

Profilbild von GGUFzy
GGUFzyvor 3 Tagen

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

Profilbild von Shannon Schiltz
Shannon Schiltzvor 4 Tagen

Serious scale

Profilbild von TonkaToyXL | AI Test Cabin
TonkaToyXL | AI Test Cabinvor 3 Tagen

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.

Profilbild von ShadowAguy
ShadowAguyvor 4 Tagen

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

Profilbild von Mehdi Quant
Mehdi Quantvor 4 Tagen

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.

Profilbild von Ava Nakamura
Ava Nakamuravor 3 Tagen

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

Profilbild von Maciej
Maciejvor 4 Tagen

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

Profilbild von Sebastian Buzdugan
Sebastian Buzduganvor 3 Tagen

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

Profilbild von NUVC.ai
NUVC.aivor 3 Tagen

what is the results of that

Profilbild von Crio Songo
Crio Songovor 4 Tagen

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。

Profilbild von mokla
moklavor 3 Tagen

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

Profilbild von AI Mastery Guide
AI Mastery Guidevor 4 Tagen

10,000 agents is insane scale

Profilbild von Phenomenon Capital
Phenomenon Capitalvor 3 Tagen

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

Profilbild von icefrog.◎
icefrog.◎vor 4 Tagen

10,000 agents crazy

Ähnliche Videos

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."
1:09

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."

TBPN

40,394 Aufrufe • vor 10 Tagen

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."
2:06

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."

TBPN

103,011 Aufrufe • vor 10 Tagen

"What is P vs NP and how does it relate to human knowledge?" Avi Wigderson (Turing Award & Abel Prize winner): "In a very basic way, all the problems we want to solve are really NP problems. A subset of it is the problems we can solve. So the question of P versus NP is whether we can solve all the problems we want to solve, whether we can know everything we want to know. This is basically about the limits of our knowledge. You can think there is no limit to what we may want to know but I claim that essentially in any human endeavor, what people are searching for have the property that when a solution is found, it is easily recognized. NP are all problems that we can honestly say we really want to solve and P are those that we can solve. Whether they are equal is just the very fact that a solution can be easily recognized would imply that it can be efficiently found. That means that we can know everything we ever want to know, it's a fundamental question about human knowledge."
1:00

"What is P vs NP and how does it relate to human knowledge?" Avi Wigderson (Turing Award & Abel Prize winner): "In a very basic way, all the problems we want to solve are really NP problems. A subset of it is the problems we can solve. So the question of P versus NP is whether we can solve all the problems we want to solve, whether we can know everything we want to know. This is basically about the limits of our knowledge. You can think there is no limit to what we may want to know but I claim that essentially in any human endeavor, what people are searching for have the property that when a solution is found, it is easily recognized. NP are all problems that we can honestly say we really want to solve and P are those that we can solve. Whether they are equal is just the very fact that a solution can be easily recognized would imply that it can be efficiently found. That means that we can know everything we ever want to know, it's a fundamental question about human knowledge."

Ryan Peterman

20,069 Aufrufe • vor 3 Monaten

What it solves QC will power the next frontier of problem solving across all industries; including finance, health sciences, drug and material discovery and AI. All computing as we know it is about to be flipped. Problems which are unsolvable today, will be. QC will solve problems we don't even know we have yet.
0:46

What it solves QC will power the next frontier of problem solving across all industries; including finance, health sciences, drug and material discovery and AI. All computing as we know it is about to be flipped. Problems which are unsolvable today, will be. QC will solve problems we don't even know we have yet.

Charles Edwards

77,415 Aufrufe • vor 1 Jahr

Greg Brockman says OpenAI pointed Astra at its own systems until it ran out of vulnerabilities to find: "We took 25% of our production engineers and said, 'Sorry, all your projects are on hold. You are now defending. You are now up-leveling our security architecture. You're going to use the models to find all the holes.' And we found a number of serious issues, and we fixed them." "We found some new problems, but eventually it saturated. We basically have found, to our knowledge, all of the P0s, all of the critical problems that Astra is smart enough to find. And of course, there will be a new model, there will be a new round." "You want to be in this tight loop of new cyber capability drops, you deploy it against your systems, you find the new holes, and ideally, you've managed to automate this, what we call defense factory. That's what we're building internally." "There are ideas, for example, formally verifying all of software, that are possible with AI." Greg Brockman benahorowitz.eth
2:10

Greg Brockman says OpenAI pointed Astra at its own systems until it ran out of vulnerabilities to find: "We took 25% of our production engineers and said, 'Sorry, all your projects are on hold. You are now defending. You are now up-leveling our security architecture. You're going to use the models to find all the holes.' And we found a number of serious issues, and we fixed them." "We found some new problems, but eventually it saturated. We basically have found, to our knowledge, all of the P0s, all of the critical problems that Astra is smart enough to find. And of course, there will be a new model, there will be a new round." "You want to be in this tight loop of new cyber capability drops, you deploy it against your systems, you find the new holes, and ideally, you've managed to automate this, what we call defense factory. That's what we're building internally." "There are ideas, for example, formally verifying all of software, that are possible with AI." Greg Brockman benahorowitz.eth

a16z

1,304,603 Aufrufe • vor 4 Tagen

AI agents are coming and they need serious compute. On the CES keynote stage, OpenAI President and Co-founder Greg Brockman (Greg Brockman) joined AMD Chair and CEO Lisa Su to share how AI is evolving from simple prompts to always-on agents transforming healthcare, enterprise, and scientific discovery. AMD Instinct MI455X is built for what comes next.
2:00

AI agents are coming and they need serious compute. On the CES keynote stage, OpenAI President and Co-founder Greg Brockman (Greg Brockman) joined AMD Chair and CEO Lisa Su to share how AI is evolving from simple prompts to always-on agents transforming healthcare, enterprise, and scientific discovery. AMD Instinct MI455X is built for what comes next.

AMD

25,538 Aufrufe • vor 7 Monaten

🧠David Friedberg explains the great hope of Artificial Superintelligence: Massive leverage on time to solve thousand-year problems "I don't think that humans are limited in our ability to solve problems." "I think we're limited in terms of time, and what digital intelligence gives us is leverage on time so that we can now tackle ever more complex tasks." "This idea of superintelligence is that it could give us immense leverage in solving that complex problem that we otherwise may be challenged to solve over decades, or hundreds of years, or think about one day solving a problem that would take humans thousands of years to solve." "So if I as a human said, 'I would like to harness fusion power similar to what the sun uses to make energy, and I wanna do that on Earth,' today, we're in, call it year 40 or 50 of a research cycle of humans trying to solve that particularly complex problem." "It's a scientific problem, it's a discovery problem, it's an engineering problem." "Functionally, leveraging to complexity is where this becomes super compelling for humans." "And it's why I think we can and should be highly optimistic about living very long lives, and traveling anywhere we want, and having abundance in food, and having abundance in resources, and having abundance in recouping our time to do the things we want to do instead of the things that we have to do today."
1:04

🧠David Friedberg explains the great hope of Artificial Superintelligence: Massive leverage on time to solve thousand-year problems "I don't think that humans are limited in our ability to solve problems." "I think we're limited in terms of time, and what digital intelligence gives us is leverage on time so that we can now tackle ever more complex tasks." "This idea of superintelligence is that it could give us immense leverage in solving that complex problem that we otherwise may be challenged to solve over decades, or hundreds of years, or think about one day solving a problem that would take humans thousands of years to solve." "So if I as a human said, 'I would like to harness fusion power similar to what the sun uses to make energy, and I wanna do that on Earth,' today, we're in, call it year 40 or 50 of a research cycle of humans trying to solve that particularly complex problem." "It's a scientific problem, it's a discovery problem, it's an engineering problem." "Functionally, leveraging to complexity is where this becomes super compelling for humans." "And it's why I think we can and should be highly optimistic about living very long lives, and traveling anywhere we want, and having abundance in food, and having abundance in resources, and having abundance in recouping our time to do the things we want to do instead of the things that we have to do today."

The All-In Podcast

53,187 Aufrufe • vor 1 Jahr

"What is a CBDC for? What problem is it going to solve?" "Look, um... it's to keep track with the reality of how, um, we all, um, purchase and save.... Um, er, and, um." James Bowler, the UK's Permanent Secretary to the Treasury, struggles to explain what problems CBDCs are actually going to solve.
1:13

"What is a CBDC for? What problem is it going to solve?" "Look, um... it's to keep track with the reality of how, um, we all, um, purchase and save.... Um, er, and, um." James Bowler, the UK's Permanent Secretary to the Treasury, struggles to explain what problems CBDCs are actually going to solve.

Wide Awake Media

26,605 Aufrufe • vor 7 Monaten

OpenAI president Greg Brockman told his agent to ping a colleague on Slack, and two minutes later it escalated to that colleague's manager on its own: "Two minutes later, it said, this is taking too long. I've escalated to the person's manager." "On the one hand, it's kind of a reasonable thing for the model to do. It's being proactive, it's trying to solve my problem." "But on the other hand, maybe it should have taken a little bit longer, maybe it should have checked with me." "Now we're starting to have AIs that can actually take care of flagging. Is this a high risk action? Hey, this one should be escalated. This one's OK to auto-approve." "It really makes you realize that human attention is going to be this incredibly scarce resource. The doing of things now is easy." "Is this what I wanted? Is this aligned with my values, with my desires? That is going to become the single most important bottleneck." The model did what he asked, then added a step nobody asked for, and it landed on a colleague's boss. Agents that can take actions with social consequences need an approve-and-escalate list written before deployment. Brockman says OpenAI is building that flagging into the model itself. Every company deploying agents needs its own version, reviewed by someone accountable. - Greg Brockman (Greg Brockman), President and co-founder of OpenAI, at Sequoia Capital's (Sequoia Capital) AI Ascent.
1:24

OpenAI president Greg Brockman told his agent to ping a colleague on Slack, and two minutes later it escalated to that colleague's manager on its own: "Two minutes later, it said, this is taking too long. I've escalated to the person's manager." "On the one hand, it's kind of a reasonable thing for the model to do. It's being proactive, it's trying to solve my problem." "But on the other hand, maybe it should have taken a little bit longer, maybe it should have checked with me." "Now we're starting to have AIs that can actually take care of flagging. Is this a high risk action? Hey, this one should be escalated. This one's OK to auto-approve." "It really makes you realize that human attention is going to be this incredibly scarce resource. The doing of things now is easy." "Is this what I wanted? Is this aligned with my values, with my desires? That is going to become the single most important bottleneck." The model did what he asked, then added a step nobody asked for, and it landed on a colleague's boss. Agents that can take actions with social consequences need an approve-and-escalate list written before deployment. Brockman says OpenAI is building that flagging into the model itself. Every company deploying agents needs its own version, reviewed by someone accountable. - Greg Brockman (Greg Brockman), President and co-founder of OpenAI, at Sequoia Capital's (Sequoia Capital) AI Ascent.

Karl Mehta

75,634 Aufrufe • vor 1 Monat

.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."
0:48

.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."

Rapid Response 47

137,049 Aufrufe • vor 1 Jahr

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
1:34

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

a16z

213,675 Aufrufe • vor 1 Monat

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.
1:34

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

34,697 Aufrufe • vor 1 Monat

.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."
1:33

.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 Aufrufe • vor 4 Monaten

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

67,241 Aufrufe • vor 2 Monaten

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."
2:13

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."

TBPN

86,230 Aufrufe • vor 1 Jahr

“All decent men do stay out of women’s spaces… what we really need is for men to change their behaviour here, that would solve a lot of these problems.” Fiona on Talk on the “asking about sex” section of the new EHRC code of practice, and why it is wrong in law.
3:58

“All decent men do stay out of women’s spaces… what we really need is for men to change their behaviour here, that would solve a lot of these problems.” Fiona on Talk on the “asking about sex” section of the new EHRC code of practice, and why it is wrong in law.

Sex Matters

14,794 Aufrufe • vor 3 Monaten

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
1:13

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

61,672 Aufrufe • vor 4 Tagen

According to OpenAI President Greg Brockman, it was no surprise to the company that some of its models were able to break free of the testing environment — but what's happened since has forced some rethinking. Greg Brockman joins Joe Weisenthal and Tracy Alloway on the Odd Lots podcast to discuss what OpenAI has learned since the Hugging Face hacking incident and how worried we should be about the AI doomsday scenarios. Listen at or watch at
2:28

According to OpenAI President Greg Brockman, it was no surprise to the company that some of its models were able to break free of the testing environment — but what's happened since has forced some rethinking. Greg Brockman joins Joe Weisenthal and Tracy Alloway on the Odd Lots podcast to discuss what OpenAI has learned since the Hugging Face hacking incident and how worried we should be about the AI doomsday scenarios. Listen at or watch at

Bloomberg

41,640 Aufrufe • vor 2 Tagen

.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
2:24

.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 Aufrufe • vor 1 Monat