YouSaid · the spoken record

Naveen Rao

lines on the record: 43
first: 2025-12-08
most recent: 2025-12-08
sittings or episodes: 1
sources: podcast

Every line below is reproduced as it was said and linked to the record it came from. Nothing here is summarised or generated. Directory · Search · Corrections

“I mean, I think this is like an opportunity to do something that is generationally will be felt. To me, that's what gets me up in the morning is. Know you can go work on a product and make a tweak, and people will use it. That's great. But in five years, many times people forget those things. But if we are successful here, the world will not forget this for a very long time, right? This will be written in history books. And so I feel like those opportunities are rare.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“But I think long term we will do better if more people have agency and can try more things out. So personally, I like to find ways to get out of the way when I see people who are very passionate about trying something. It's like, okay, what you really want to do this makes sense. Go for it. And then you own it. You own both the good and the bad, right? And that's agency to me. It's like, you got to, you guys say, like, okay, I fucked up. Now this wasn't really.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I mean, I think what I've done really well across the company is I've built has been going after hard problems, which kind of lends itself with smart people wanting to come in and try to solve them. They see a challenge. It's like, here's the Mount Everest of climate. But then giving them agency, and I sort of look at it like, what decisions can I make as a leader to increase agency of the org overall? Like me making top-style decision may be a global better for the company in the short term.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Absolutely, yeah. I mean, the first few years, it really is open-ended. I don't want to close doors. Like I'm really specific about this. I always try to bring the conversation back because those people like, oh, that's going to be hard to manufacture like, stop. Don't think about that. Will it work? First come up with existence proofs. Then we go back and try to engineer it. And, you know, all the trade-offs therein. But if you make those trade-offs up up front, you don't go into a good place. So yes, we're really thinking wide open, but with an eye on the future of who we are building a product.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“I think you get such a breath of working at a startup that at the beginning of your career, that will pay dividends later on. Because, like I said, the reason I can think across the stack is because I did all those things very early in my career, you know? I built hardware. I built software. I built applications. And in big companies, it's not aimless fault. It's just the way it is. You get hired to do a thing. And you do that thing over and over again. You get really good at doing that thing. And that's fine. You need people who are really good at doing specific things. If you want to be prepared for change in the future, being really good at one thing is probably less valuable than being very good at, but slightly good at a lot of things.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“We're not going to have cool heat sinks. It's going to be super cool. It's going to be cold. You don't need Biggie. I think that's either. So I hope they make something that looks interesting”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“It's hard because these are all things that no one's really pushed to that level. When we build this chip, our first prototype, it's going to be probably one of the larger, maybe the largest analog chip people have ever built, which is kind of weird. First time you do something, things don't usually work the way you think they do.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“I mean, I think some of the traditional issue, when I say traditional, you know, over the last five years, this field of AI systems has evolved, like people who are really good at taking algorithms and mapping them very effectively to physical substrates. Those folks who understand energy-based models, FOA models, gradient descent and different ways, this kind of thing is what we need there. We need theorists who can think about different ways of building coupled systems, how I can characterize a richness of dynamical systems and relating that to neural networks. So there is a theory aspect of this. Then there's folks who are kind of at the system architecture level. It's like, all right, here's what the theory says. This is what I can really build. How do I bridge that gap? And then there's the people actually physically building this stuff, like analog circuit people, actually digital circuit people too. We're going to have a mixed signal here. So that's the whole stack. The stack is...”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Well, I'm used to this at this point, you know. My family, I would call crazy. I was called crazy going back to grad school years ago when I had a very good career in tech. So it's fine. I think that's that you need crazy people to go out and explore. I mean, if you think about humanity out of Africa, all that, the crazy people who went out”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“And engineers are kind of like the opposite of theories. It's like, well, all right, that thing doesn't quite fit. Sand it down and make it fit, right? So it's like, we got to do a little bit of that right now, and then we can build something and put it all together.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“There's a number of data points. Of course, like I said, the brains are existence proof. But there's also 40 plus years of academic research, which is showing a lot of promise here. People built different devices, albeit not in latest technology with professional engineering teams, but they have built proof of concept that actually shows some of these things work. We've also, from a theory standpoint, both from neuroscience and just pure dynamical systems and math theory do start to understand how these systems can work. So I think we now have pieces at different parts of the stack that show, hey, if I can combine these things the right way, I can build this. That's what great engineering is all about is like, you know, exploiting this thing that someone else built for something else, exploiting that thing.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“See the little puff of smoke come out That's not good, but you want to be there and be part of the moment. But I think that's part of it. I think for me personally, like we have this opportunity now that we can really change the world of computing and make AI ubiquitous. I'm the opposite of an AI doomer. I think AI is the next evolution of humanity. I think it takes us to a new level, allows us to collaborate, understand each other, and understand the world in much deeper ways. Totally agree. So every technology has negatives, but the positives can be so far outweigh it. And the only way we're going to get to ubiquity is we have to change the computer. The current paradigm is good as it is, and as far as it's taken us, is not going to take us to that level.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“That's a big dopamine hit. That's like since like celebration jumping, you know, jumping up in the air, high five thing. It's a different thing. And I don't know. You sort of live for these moments. When I was at Intel, like, I was one of the only execs who would go to the lab when the first ship would come back. I'm like, I want to see.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“I don't know. It's a weird thing. Like, if you haven't worked in hardware, it's hard. I had been fortunate to work in hardware and software. And, you know, I love writing a bunch of software and then hitting compile and seeing it work. That's a good dopamine hit. But man, when you work on a piece of hardware and you turn that thing on”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“With TPUs. Yeah. From what I can see just publicly, it makes total sense, right? They have a business to run and they're trying to make the margins better and how can I do that with all the tools I have in front of me. Nvidia, of course, they've built the platform that everyone programs on today. So are we going to be at odds with NVIDIA going forward? I don't know. We'll see what the world looks like. But I mean, we are trying to build a better substrate than matrix multiply. There could be a world where we collaborate on such solutions. And, you know, we're open to all of these things.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“So, I think TSMC is absolutely going to be a partner forward. I met with them recently. And we want to work closely with them to make sure we get what we need, get fast turnaround times to prototype and all of that. Google, NVIDIA, Microsoft, all these guys are at the forefront of where the application space is. Obviously Google kind of has everything internally. I think they're working on sort of lower risk, but continual improvements for their hardware with.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I mean, a couple of things that we set out to do when we built, we're starting this company was see if we can find a paradigm that's analogous to intelligence within five years. And then at the five-year mark, we should be able to build something that's scalable from a manufacturing standpoint. So, you know, you can think about building a computer out of many different things. But if it's not scalable for a manufacturing standpoint, we can't intercept this global energy problem. So we need to have somebody say, okay, go build 10 million of these things, right?”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, and again, hand wavy, but yes. I mean, look, you have kids, little kids, and you see them. Children kind of innately understand causality in some ways. Like, you know, this happened, then that happened. And yes, I know what you can say, like is reinforcement learning or whatever. That's some part of it. But there's something innate that we understand causality. In fact, that's how we move our limbs and all of that. I know if I send a certain command to my arm, it'll do something. So I think there's something innate about the way our brains are wired and built out of primitives that do understand causation”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“So, I do think we'll have something that is better and we'll give us something closer to what we really think is intelligence. Because, yes, we have intelligence in these machines. I don't think they're anywhere close to AGI because, I mean, they still make stupid errors. They're very useful tools, but it's not like working with a person, right? I think most people admit that.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“It's gotta be because we just don't know. But my intuition says that anything where the basis is dynamic, which has time and causality as part of it, will be a better basis than something that's not. So we've largely tried to remove that. And a lot of times you can write math down, it's reversible in time and things like that, but the physical world tends not to be, at least the way we perceive it. And so can we build out of elements of the physical world that are, you know, do have time evolution? I think that's the right basis to build something that understands causation.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Transformers parameter is a function of the nonlinearities and the way a whole thing is set up with a tension. There's going to be some kind of mapping between transformer parameter spaces and these other parameter spaces. And transformers are, I think, kind of used lots of parameters to accomplish what they do.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“So that makes it so that, hey, can I map those dynamics onto the dynamics of a physical system in some way that's either fixed or has some principal way of evolving? And then can I basically use that physical system to implement that thing and do it very efficiently with the physics? So that's kind of the nature of what we're doing. And we will be releasing some open source and things around this. But Transformers are really, they're a big innovation because they made the constructs of a GPU work extremely well. And it doesn't mean it's wrong, but I don't think there's nothing natural about the parameter of a transformer.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, so we're obviously starting with the state of the art today, like transformers, diffusion models, they work. They do really good stuff. So we shouldn't throw that out. And diffusion models and flow models are actually energy-based models are actually pretty interesting because they inherently have dynamics as part of them. They're literally written as an ordinary differential equation.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Is never going to shoot it under ideal circumstances in a game. Always, it's a unique input. There's a lot of different input variables coming at you, like where the other players are precisely where you're standing. Maybe your shoes are different. Maybe the surface is a little different. Maybe the ball is tackier or your hands are sweaty. There's so many inputs and we kind of put them all together and integrate them. It's still a very accurate behavior. So brains are exceptionally good at this. And, you know, that set of problems that Is actually very useful to solve. And now we're approaching those problems. But it doesn't mean we don't still use computational substrates to do actual computation. This is kind of intelligent substrate.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Going through. So the level of precision these guys hit with a neural network that's noisy is actually quite high. So neural systems can actually do a lot of precision under certain circumstances. But what's interesting about these situations is Steph Curry, when he shoots a ball,”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Actually, simulating time is very useful in certain problems. So I think we should still build those things and we should still have those capabilities for the problems that we need to solve that way. But for these problems where you said, it's a bit fuzzier. I'm trying to retrieve and summarize across multiple inputs. That's actually what brains do really well, right? They can take in tons of data and sort of formulate a model of how those things interact. And sometimes those models can be actually extremely accurate. Like look at an athlete. Alex Honnell Capitan, right? Just think about the precision that's required.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I actually don't see it as it's digital or analog. It doesn't work like that. I think there are certain types of workloads that are amenable to these analog approaches, especially the ones that can be expressed as dynamical system. The dynamics mean time. They have time associated with them. In the real world, every physical process has time. And in the computing world, like a numeric computing world, we actually don't have that concept. You simulate time with numbers.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“It's hard to get a lot of humans to act together, right? It's just a reality. And that's what has to happen to all these problems.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, absolutely. You know, it's interesting. So just maybe some stats here, like the US is about 50% of the world's data center capacity. And today we put about 4% of the energy grid of the U.S. energy grid into those data centers. And this past year, 2025, was the first time we started to see news articles about brownouts in the southwest during the summer. And just imagine what happens when this goes to 8%, 10% of the energy you've read. It's not going to be a good place that we're in. So can we build more power? Absolutely we should. Building power generation is very hard, expensive, and it's infrastructure. Like it takes time. You can't only bring online so many kilowatts or gigawatts per year. And so it's something on the order of four per year. By some estimates, we need 400 gigawatts additional capacity over the next 10 years to power the demand for AI.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Exactly. And those things are mediated by chemical diffusion and the physical properties of the neuron, the physics itself. So I think absolutely it's possible to build something that's much more efficient by using physics in analogous way. That is 100% true. Can we do it and build products out of it is really the question we're asking here at unconventional.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“So there is no abstraction. Intelligence is the physics. They're one and the same. There's no OS and some sort of API and this and that.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Well, I mean, the best examples we have of intelligence systems and nature are brains. And it's often been said, you know, human brains run on 20 watts of energy. That is true. But if you look at Million brains generally actually are extremely efficient, like a squirrel or a cat. It's like a tenth of a watt. And so there's something there that we're still missing. And not to say that we understand all of it, but part of what I think we're missing is we have lots of abstractions in a computer that are quite lossy. In a brain, the neural network dynamics are implementing physically.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Physics problems like going into space, things like that, those require determinism and specificity around these numbers and these computations. Intelligence is a different beast. You can build it out of numbers, but is it naturally built out of numbers? I don't know. A neural network is actually a stochastic machine. And so why are we using the substrate that is highly precise and deterministic for something that's actually sarcastic and distributed in nature? So we believe we can find the right isomorphism in electrical circuits that can subserve intelligence.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I mean, analog computers can do lots of different things. There's wind tunnels are a great example of an analog computer in the sets where I have a race car on a track or an airplane and I want to understand how the wind moves around it. And you can, in theory, solve those things computationally. The problem is you're always going to be off. It's very hard to know what the real system is going to look like. And doing things with computational fluid dynamics accurately is pretty hard. So people still build wind tunnels. That's actually modeling that. That's an analog computer. I think we still have lots of reasons to build these analogous type computers. Now, in the situation we're talking about, we can actually build circuits in silicon to recapitulate behaviors of neural networks. So what we're doing today is more specified than what we're doing 80 years ago in a sense, is that then we were trying to automate generic calculation, which was used to calculate artillery trajectories. It was used to calculate finances, maybe some.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“There, of course, but if you look at the papers and things, they actually look very similar to today in terms of scaling up GPUs. Analog computers, records from the first computers, and they worked really well. They're very efficient, but they couldn't be scaled up because of manufacturing variability. So someone said, oh, okay, you know what? I can actually say I can make a vacuum tube behave as a higher low, very reliably. I can't characterize the in-between very well, but I can say it's higher low. And so that was kind of where we went to digital abstraction. And then we could scale up. Eniac, which was built in 1945 at 18,000 vacuum tubes. So 18,000 kinds of somewhere how many GPUs people use now, right? For hard-scale training. So scaling things up is always a hard problem. And once you figure out how to do it, it makes a paradigm happen. And I think that's why we went to digital. But analog still is inherently more efficient because it's actually analogous computing as a way to think about it. Like, can I build a physical system that is similar to the quantity I'm trying to explain?”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I mean, very simply, digital computers implement numerics. And numerics with some sort of estimation, right? I mean, in a digital computer, a number is represented by a fixed number of bits. And that has some precision error and things like this. It's just a way we implement the system. If you make it enough bits, like 64 bits, you can largely say that maybe the error is small. You don't have to think about it. And so the digital computer is capable of simulating anything that you can express as numbers and arithmetic. So it became a very general machine. I can literally simulate any physical process, all of physics. We try to do computational physics. I have an equation. I can then write numeric solvers that sort of deal with those imprecisions in the number of bits. And so this became obviously computer science. It's an entire field now. And we went that direction actually very early on because we couldn't scale up computation. It's actually kind of an interesting conversation if you look from back then, not that it was there.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Use much energy, but you're still aware of other threats and things like this. Then once a threat happens, everything turns on. It's very dynamic. And we really haven't built systems like this. And I've been in the industry long enough to know that we have to have an incentive to build things. You can't just say, hey, I want to build this cool thing. Therefore, I go build it. Maybe in academia you can do that. But in sort of the real world, I can't. And now it's exciting because those concepts are super relevant. We're at a point in time where computing is bound by energy at the global level, which just was never true in all of humanity.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“It is kind of crazy. It's one of these things. Actually, it was first off the chip company per se. Most of what we're doing is at the beginning is theory and really kind of looking at first principles of how learning works in a physical system. And the reason to go back and do this is just purely out of passion. I think we can change how a computer is built. We've been building largely the same kind of computer for 80 years. We went digital back in the 1940s and in undergrad in the 1990s when I learned about the dynamics of the brain, like the brain's 20 watts of energy and the kind of computations that can happen inside of brain and neural systems. I was just blown away then. I'm still blown away by it. And I think we haven't really scratched the surface of how we can get close to that. Biology is exquisitely efficient. It's very fast. It right-sizes itself to the application at hand when you're chilling out.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Well, I think I was, I don't know, I guess you would call it an OG kind of full stack. Now, full stack engineer means something different that it meant back then. I think back then, I meant someone who understands potentially devices like silicon, how to do logic design, computer architecture, low-level software, maybe OS level software, and then application. That was a full stack engineer. I actually had touched all those topics. So to me, it was very natural to kind of think across these boundaries. To me, like software and hardware is not really natural boundaries. It's just where we decide to draw the line and say, okay, this is something I make configurable or I don't. And it's like, where is the world going to consume something? Where is the problem and then right size and figure out the solution to go and hit it?”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“Absolutely. I mean, you know, it's like when you hammer everything's in ale, I suppose. But the early part of my career was really about how do I take certain algorithms and capabilities and shrink them, make them faster, put them into form factors that make those use cases proliferate, like wireless technology or video compression. You couldn't do video compression in real time on a laptop back then. There wasn't enough computing power. So you actually needed to build hardware to do those kind of things. So early part of my career was all about that. And then I went back to academia, did a PhD in neuroscience. And so you still kind of look at it like, hey, can I make something better that's more efficient?”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“I think TSMC is absolutely going to be a partner. Google kind of has everything internally. And Nvidia, of course, a built-in platform that everyone programs on today. So are we going to be at odds with NVIDIA going forward? I don't know. We'll see what the world looks like, but there could be a world where we collaborate today.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“First off, not a chip company per se. Most of what we're doing is really kind of looking at first principles of how learning worked in a physical system.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source
“I think AI is the next evolution of humanity. I think it takes us to a new level, allows us to collaborate and understand the world in much deeper ways. Naveen Rao is here's expert in AI. Naveen Rao, probably one of the smartest guys in this domain. He sees things well before anybody else sees them.”
2025-12-08 · a16z Podcast · The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch · IDENTIFIED FROM THE TRANSCRIPT · source