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Larry Ellison just explained why Tesla's AI has to work completely differently from every other AI system on earth: "If you're driving cars, things happen very fast. If something happens, you might be required to respond in a microsecond. You have to see it, understand what's going on, and...

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Metav3rse

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49,275 次观看 • 3 个月前 •via X (Twitter)

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As Larry Ellison explains, there are two types of AI models: real-time models, also called AI on the edge, where you need ultra-low latency decisions (think autonomous driving or robotics), and models that don’t need an immediate response, like ChatGPT, where the system has time to reason. Real-time models require local compute inside the device, and these chips have nothing to do with the GPUs running in data centers. The AI-on-the-edge market is still largely untapped — and it’s going to be a multi-trillion-dollar opportunity. I believe $AMD will be one of the biggest beneficiaries
0:59

As Larry Ellison explains, there are two types of AI models: real-time models, also called AI on the edge, where you need ultra-low latency decisions (think autonomous driving or robotics), and models that don’t need an immediate response, like ChatGPT, where the system has time to reason. Real-time models require local compute inside the device, and these chips have nothing to do with the GPUs running in data centers. The AI-on-the-edge market is still largely untapped — and it’s going to be a multi-trillion-dollar opportunity. I believe $AMD will be one of the biggest beneficiaries

Daniel

151,698 次观看 • 9 个月前

AI agents have full root access to your computer. In the '90s we called that a virus and installed McAfee to stop it. "Run it on a totally different computer, one that is locked away from everything. If you put it on your home network, you might have a bad time." - Marks
2:03

AI agents have full root access to your computer. In the '90s we called that a virus and installed McAfee to stop it. "Run it on a totally different computer, one that is locked away from everything. If you put it on your home network, you might have a bad time." - Marks

TFTC

17,278 次观看 • 6 个月前

Ashok Elluswamy, Tesla’s VP of AI on Tesla’s autonomy approach during the Cybercab Launch Event: “Along the way, every "expert" in the field told us you cannot build a safe self-driving vehicle with just cameras. They said you you needed radars, you needed HD maps, and everything else to drive the car safely. We at Tesla have never believed in this. We always thought the core issue for self-driving is one of intelligence. You need to understand what is going on, you need to predict what is going to happen in the future, and no sensor in the world is going to tell you what's going to happen in the future. It is something an intelligent agent is going to have to figure out what is going to happen in the future and act accordingly to achieve safety. That is why we have bet on an Al first end-to-end driving stack that takes in camera images from all around the car, constantly paying attention and is solving for one thing, which is driving you safely. How do we know this is possible? Because humans drive around all day long using cameras. It is not something that we invented, it's already there, we just needed to find a way to put it in a digital computer. And that's what we believe we have built.”
1:19

Ashok Elluswamy, Tesla’s VP of AI on Tesla’s autonomy approach during the Cybercab Launch Event: “Along the way, every "expert" in the field told us you cannot build a safe self-driving vehicle with just cameras. They said you you needed radars, you needed HD maps, and everything else to drive the car safely. We at Tesla have never believed in this. We always thought the core issue for self-driving is one of intelligence. You need to understand what is going on, you need to predict what is going to happen in the future, and no sensor in the world is going to tell you what's going to happen in the future. It is something an intelligent agent is going to have to figure out what is going to happen in the future and act accordingly to achieve safety. That is why we have bet on an Al first end-to-end driving stack that takes in camera images from all around the car, constantly paying attention and is solving for one thing, which is driving you safely. How do we know this is possible? Because humans drive around all day long using cameras. It is not something that we invented, it's already there, we just needed to find a way to put it in a digital computer. And that's what we believe we have built.”

Nic Cruz Patane

201,311 次观看 • 11 天前

Elon Musk on local AI in Tesla Optimus: “Well, we think we can put a lot of intelligence locally in the robot and it certainly needs to be enough intelligence that if the robot gets disconnected, like if it's a bad cellular signal or there isn't Wi-Fi, you know, Optimus can't just get stuck. It needs to have enough local intelligence that it can still do useful things, even if it loses the connection, kind of like the car. The car does not need any cellular or Wi-Fi connection to be able to drive safely. Now, I guess you can think of like Optimus needs kind of a manager to tell it what to do, broadly speaking, like if otherwise it's going to keep doing the same thing it did before. so you know i think you need kind of a an orchestration ai which uh you know grok would be good for orchestration um and and then for you know for optimist's voice you know having um a low latency intelligent voice ai grok is actually very good for that so if you when I talk to Optimus and have kind of a you know, a Grok level conversation you kind of need to connect to a Grok level AI for that. But I would expect the amount of interaction apart from like the voice stuff and asking complicated questions of the robot that necessarily needs a large AI model to answer the Gronk would probably have about as much interaction with Optimus as a manager would have with the people on their team. “
2:02

Elon Musk on local AI in Tesla Optimus: “Well, we think we can put a lot of intelligence locally in the robot and it certainly needs to be enough intelligence that if the robot gets disconnected, like if it's a bad cellular signal or there isn't Wi-Fi, you know, Optimus can't just get stuck. It needs to have enough local intelligence that it can still do useful things, even if it loses the connection, kind of like the car. The car does not need any cellular or Wi-Fi connection to be able to drive safely. Now, I guess you can think of like Optimus needs kind of a manager to tell it what to do, broadly speaking, like if otherwise it's going to keep doing the same thing it did before. so you know i think you need kind of a an orchestration ai which uh you know grok would be good for orchestration um and and then for you know for optimist's voice you know having um a low latency intelligent voice ai grok is actually very good for that so if you when I talk to Optimus and have kind of a you know, a Grok level conversation you kind of need to connect to a Grok level AI for that. But I would expect the amount of interaction apart from like the voice stuff and asking complicated questions of the robot that necessarily needs a large AI model to answer the Gronk would probably have about as much interaction with Optimus as a manager would have with the people on their team. “

Brian Roemmele

26,664 次观看 • 4 个月前

Jordan Peterson: "If you're competent and silent you will be ignored." "You might think well people should reward you because you're competent. And yes of course they should. But if you're competent and silent then you're just part of the background that's keeping everything functioning" On why you cannot negotiate from a position of weakness: "If you want to push your career forward you have to push it forward. You have to be competent and you have to be strategic" "To be strategic when you negotiate for a new position or a new salary you have to be able to say if you don't give me what I want then something you don't like will happen to you" "It's not a physical threat. It's that you have an option" "You have your CV in order. You're educated and competent and desirable to people outside of your immediate job. You're willing to instantly put yourself on the job market" "So that when you go talk to the person you're negotiating with you're credible" On the one thing most people completely miss about negotiation: "It's very seldom that you're talking to the person who's at the top of the pecking order. What you need to do is tell them a story that they can tell to their boss to make you not a problem" "A good story is look we really need this person because they're hyper competent and they have a better offer" "If you go in there with no power you're going to lose. Obviously" He concludes with the one thing every competent person needs to hear: "The first thing you need to know if you're going to negotiate is that you have to be able to say no. And what no means is that you're not going to do it"
2:05

Jordan Peterson: "If you're competent and silent you will be ignored." "You might think well people should reward you because you're competent. And yes of course they should. But if you're competent and silent then you're just part of the background that's keeping everything functioning" On why you cannot negotiate from a position of weakness: "If you want to push your career forward you have to push it forward. You have to be competent and you have to be strategic" "To be strategic when you negotiate for a new position or a new salary you have to be able to say if you don't give me what I want then something you don't like will happen to you" "It's not a physical threat. It's that you have an option" "You have your CV in order. You're educated and competent and desirable to people outside of your immediate job. You're willing to instantly put yourself on the job market" "So that when you go talk to the person you're negotiating with you're credible" On the one thing most people completely miss about negotiation: "It's very seldom that you're talking to the person who's at the top of the pecking order. What you need to do is tell them a story that they can tell to their boss to make you not a problem" "A good story is look we really need this person because they're hyper competent and they have a better offer" "If you go in there with no power you're going to lose. Obviously" He concludes with the one thing every competent person needs to hear: "The first thing you need to know if you're going to negotiate is that you have to be able to say no. And what no means is that you're not going to do it"

Brad

35,334 次观看 • 1 个月前

The Tesla Megapod trademark might be the most important filing nobody is talking about (Save this). Tesla wants to build a product that is basically a self contained AI computer in a box. You truck it somewhere, plug it into power, and it runs AI workloads. The reason this matters is that the AI industry has a problem because you can't build data centers fast enough. Getting land approved, getting power from the grid, getting zoning cleared, that process takes 3–5 years, and demand is moving much faster than that. US data center construction actually fell in 2025 for the first time in years, because developers kept hitting bureaucratic walls. Tesla's answer to that problem is simple. They already own thousands of Supercharger stations across the country and those stations already have land, power, and grid connections, all the hard stuff is done. The idea is to drop a Megapod at those sites and turn idle charging infrastructure into AI compute, almost overnight. What Jason, Chamath, and Friedberg were all circling around is that this drop a box on a concrete pad approach is already how serious companies are deploying AI compute right now. Vertiv and DUG Technology both ship GPU-packed containers that can go live in 90 days and Tesla would just be bringing that idea to a network it already owns. The opportunity is very real whether Tesla is the one to actually execute on it is still an open question.
4:06

The Tesla Megapod trademark might be the most important filing nobody is talking about (Save this). Tesla wants to build a product that is basically a self contained AI computer in a box. You truck it somewhere, plug it into power, and it runs AI workloads. The reason this matters is that the AI industry has a problem because you can't build data centers fast enough. Getting land approved, getting power from the grid, getting zoning cleared, that process takes 3–5 years, and demand is moving much faster than that. US data center construction actually fell in 2025 for the first time in years, because developers kept hitting bureaucratic walls. Tesla's answer to that problem is simple. They already own thousands of Supercharger stations across the country and those stations already have land, power, and grid connections, all the hard stuff is done. The idea is to drop a Megapod at those sites and turn idle charging infrastructure into AI compute, almost overnight. What Jason, Chamath, and Friedberg were all circling around is that this drop a box on a concrete pad approach is already how serious companies are deploying AI compute right now. Vertiv and DUG Technology both ship GPU-packed containers that can go live in 90 days and Tesla would just be bringing that idea to a network it already owns. The opportunity is very real whether Tesla is the one to actually execute on it is still an open question.

Milk Road AI

16,630 次观看 • 2 个月前

Altimeter Capitol CEO Brad Gerstner on Elon Musk and Tesla: "Elon's done an extraordinary job, and his advantage in AI and Full Self-Driving relative to all the other manufactures in the world is deeply under-appreciated. I described FSD 12 as a ChatGPT moment for self-driving; Unless you have the data, you’re going to have a very hard time catching Tesla in FSD. I don’t think BYD will be able to play in that game either.”
1:54

Altimeter Capitol CEO Brad Gerstner on Elon Musk and Tesla: "Elon's done an extraordinary job, and his advantage in AI and Full Self-Driving relative to all the other manufactures in the world is deeply under-appreciated. I described FSD 12 as a ChatGPT moment for self-driving; Unless you have the data, you’re going to have a very hard time catching Tesla in FSD. I don’t think BYD will be able to play in that game either.”

Sawyer Merritt

367,705 次观看 • 2 年前

Elon Musk reveals why he’s building rockets, AI, and humanoid robots at the same time "The overall goal of my companies is to maximize the probability that civilization has a great future, and to expand consciousness beyond earth" "We need to assume that life and consciousness is extremely rare and it might only be us" "The image in my mind is of a tiny candle in a vast darkness, a tiny candle of consciousness that could easily go out" "That's why it's important to make life multiplanetary, such that if there's a natural or man-made disaster on earth, that consciousness continues" "That's the purpose of SpaceX" "With robotics and AI, this is really the path to abundance for all. The only way to solve global poverty and give everyone a very high standard of living is AI and robotics" "My prediction is there'll be more robots than people. Everyone on earth is going to have one and going to want one. We will make so many robots and AI that they will saturate all human needs. You won't be able to even think of something to ask the robot for" "Who wouldn't want a robot to watch over your kids, take care of your pet, or protect an elderly parent? There just aren't enough young people to take care of the old people" "Overall I'm very optimistic. We're headed for a future of amazing abundance. We are in the most interesting time in history"
6:38

Elon Musk reveals why he’s building rockets, AI, and humanoid robots at the same time "The overall goal of my companies is to maximize the probability that civilization has a great future, and to expand consciousness beyond earth" "We need to assume that life and consciousness is extremely rare and it might only be us" "The image in my mind is of a tiny candle in a vast darkness, a tiny candle of consciousness that could easily go out" "That's why it's important to make life multiplanetary, such that if there's a natural or man-made disaster on earth, that consciousness continues" "That's the purpose of SpaceX" "With robotics and AI, this is really the path to abundance for all. The only way to solve global poverty and give everyone a very high standard of living is AI and robotics" "My prediction is there'll be more robots than people. Everyone on earth is going to have one and going to want one. We will make so many robots and AI that they will saturate all human needs. You won't be able to even think of something to ask the robot for" "Who wouldn't want a robot to watch over your kids, take care of your pet, or protect an elderly parent? There just aren't enough young people to take care of the old people" "Overall I'm very optimistic. We're headed for a future of amazing abundance. We are in the most interesting time in history"

Jaynit

618,499 次观看 • 3 个月前

I got to ask Jensen a question today at CES 2026. Question: What advice would you give to a new robotics founder for them to choose the right application space or the right idea so that they can have the most impact and most differentiation? Jensen's answer (short summary): The real strategic choice is between a horizontal play and a vertical one. Horizontal competition comes from every direction, but focusing on a specific vertical allows you to solve the hardest problems for a specific industry. Whether it’s EMS manufacturing or surgical robotics, that deep domain expertise is very beneficial. Jensen's full answer: Well, first of all, let's take a step back. As you know, NVIDIA, here we were just talking about AI factories. And that AI factory—our contribution, our chips, systems, infrastructure, which is software, and model technology. Is that right? That's kind of the NVIDIA stack. And that's an AI factory. In order to build robotic systems, you really need three different computers. You need the training computer, which I just described. And then you need another computer for doing simulation, because the robot needs to learn how to practice and be evaluated inside a virtual world that's physically precise, so that it doesn't have to do crazy stuff in the physical world while it's still learning. And so we create a virtual world that obeys the laws of physics, and I've demonstrated it several times, and that virtual world is called Omniverse. And so that's a second computer. And that computer is much more like one of our gaming computers, and the GPU that we use for that is RTX Pro. Basically an RTX. And then the third computer is the computer that goes into the robot. It's the robot brain. And that robot computer we call Orin today, and then the next generation is called Thor. And it has its own stack. So Thor has a super-fast inference stack. It runs a safety operating system, like the safety operating system we have in the car, because you want the robot to stay in its guardrails and not do things that it's not confident in doing. And so, you have your stack, and then you have your model. And the model could be fine articulation, manipulation, and locomotion, and each one of those, it could be system one and system two thinking. The technology necessary to build a robot is incredible. And so I just described for you, in order to be a robotics company, you have to have three computers. You have to understand all three stacks, and you have to build this robotic system, not to mention all the electronics and the mechanicals necessary to do it. It's incredibly hard. However, as you know, these pieces of technology independently have been coming together. Isn't that right? Which is really what happens to a new industry, is when there's enabling technology necessary for the industry itself, but it rides on the contributions of the technology advances in other industry that it doesn't have to worry about. And so the humanoid industry is riding on the work of the AI factories we're building for other mainstream stuff and other AI stuff. And our Omniverse was designed for other applications and different other digital twin capabilities. And so all this stuff is now coming together. The question is for robotics, ultimately, it comes down to a couple of different questions. Do you want to be a horizontal company, or do you want to be a vertically domain-specific company? The benefit of a horizontal company, of course, is that you less worry about the application, you more worry about the technology, and if you succeed, your scale can be quite large. However, horizontal plays are incredibly hard. Your competition comes from every single direction. Now, on domain, if you want to be domain-specific, then you're going to have to understand the particular application quite deeply. So maybe it's something to do with EMS manufacturing, assembly of these AI supercomputers. Maybe it's related to building cars in factories. Whatever the reasons are, your domain expertise—could be surgical robots—domain expertise could really be a benefit. My preference usually—and you asked, so I'll offer—my preference tends to be to go find verticals, but that's kind of my preference. Some companies, some leaders just would prefer to build horizontal capability, and that's fine, too.
0:59

I got to ask Jensen a question today at CES 2026. Question: What advice would you give to a new robotics founder for them to choose the right application space or the right idea so that they can have the most impact and most differentiation? Jensen's answer (short summary): The real strategic choice is between a horizontal play and a vertical one. Horizontal competition comes from every direction, but focusing on a specific vertical allows you to solve the hardest problems for a specific industry. Whether it’s EMS manufacturing or surgical robotics, that deep domain expertise is very beneficial. Jensen's full answer: Well, first of all, let's take a step back. As you know, NVIDIA, here we were just talking about AI factories. And that AI factory—our contribution, our chips, systems, infrastructure, which is software, and model technology. Is that right? That's kind of the NVIDIA stack. And that's an AI factory. In order to build robotic systems, you really need three different computers. You need the training computer, which I just described. And then you need another computer for doing simulation, because the robot needs to learn how to practice and be evaluated inside a virtual world that's physically precise, so that it doesn't have to do crazy stuff in the physical world while it's still learning. And so we create a virtual world that obeys the laws of physics, and I've demonstrated it several times, and that virtual world is called Omniverse. And so that's a second computer. And that computer is much more like one of our gaming computers, and the GPU that we use for that is RTX Pro. Basically an RTX. And then the third computer is the computer that goes into the robot. It's the robot brain. And that robot computer we call Orin today, and then the next generation is called Thor. And it has its own stack. So Thor has a super-fast inference stack. It runs a safety operating system, like the safety operating system we have in the car, because you want the robot to stay in its guardrails and not do things that it's not confident in doing. And so, you have your stack, and then you have your model. And the model could be fine articulation, manipulation, and locomotion, and each one of those, it could be system one and system two thinking. The technology necessary to build a robot is incredible. And so I just described for you, in order to be a robotics company, you have to have three computers. You have to understand all three stacks, and you have to build this robotic system, not to mention all the electronics and the mechanicals necessary to do it. It's incredibly hard. However, as you know, these pieces of technology independently have been coming together. Isn't that right? Which is really what happens to a new industry, is when there's enabling technology necessary for the industry itself, but it rides on the contributions of the technology advances in other industry that it doesn't have to worry about. And so the humanoid industry is riding on the work of the AI factories we're building for other mainstream stuff and other AI stuff. And our Omniverse was designed for other applications and different other digital twin capabilities. And so all this stuff is now coming together. The question is for robotics, ultimately, it comes down to a couple of different questions. Do you want to be a horizontal company, or do you want to be a vertically domain-specific company? The benefit of a horizontal company, of course, is that you less worry about the application, you more worry about the technology, and if you succeed, your scale can be quite large. However, horizontal plays are incredibly hard. Your competition comes from every single direction. Now, on domain, if you want to be domain-specific, then you're going to have to understand the particular application quite deeply. So maybe it's something to do with EMS manufacturing, assembly of these AI supercomputers. Maybe it's related to building cars in factories. Whatever the reasons are, your domain expertise—could be surgical robots—domain expertise could really be a benefit. My preference usually—and you asked, so I'll offer—my preference tends to be to go find verticals, but that's kind of my preference. Some companies, some leaders just would prefer to build horizontal capability, and that's fine, too.

The Humanoid Hub

40,043 次观看 • 8 个月前

Elon Musk explains the deeper reason why SpaceX succeeding in AI matters for humanity’s future "It's important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems This is why I think it's essential that SpaceX succeed not just with AI hardware, but also with AI software. I think an AI that is SpaceX's baby will be a very good AI SpaceX is a collection some of the very best humans on Earth, both in capability and in morality and goodness. We want to have an AI that is born of that capability, that morality and that goodness. I think that's very, very important So I'd like to encourage people to help out with the AI hardware on the ground, the AI software, and of course with the AI satellites Solar is going to be a very important part of that. The Terafab will be a very important part of that”
1:28

Elon Musk explains the deeper reason why SpaceX succeeding in AI matters for humanity’s future "It's important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems This is why I think it's essential that SpaceX succeed not just with AI hardware, but also with AI software. I think an AI that is SpaceX's baby will be a very good AI SpaceX is a collection some of the very best humans on Earth, both in capability and in morality and goodness. We want to have an AI that is born of that capability, that morality and that goodness. I think that's very, very important So I'd like to encourage people to help out with the AI hardware on the ground, the AI software, and of course with the AI satellites Solar is going to be a very important part of that. The Terafab will be a very important part of that”

X Freeze

29,610 次观看 • 1 个月前

ELON: EVERYONE ON EARTH WILL WANT THEIR OWN ROBOT “My prediction is the robots will actually make so many robots and AI that they will actually saturate all human needs, meaning you won't be able to even think of something to ask the robot for at a certain point. There'll be more robots than people. I think everyone on Earth is going to have one and going to want one, because who wouldn't want a robot to, assuming it's very safe, watch over your kids, take care of your pet. If you have elderly parents, it's very difficult to take care of them. It's expensive, and there just aren't enough young people to take care of the old people. If you had a robot that could take care of and protect an elderly parent, I think that would be great. That would be an amazing thing to have. And I think we will have those things.” Source: Elon Musk Interview at WEF, January 2026
0:42

ELON: EVERYONE ON EARTH WILL WANT THEIR OWN ROBOT “My prediction is the robots will actually make so many robots and AI that they will actually saturate all human needs, meaning you won't be able to even think of something to ask the robot for at a certain point. There'll be more robots than people. I think everyone on Earth is going to have one and going to want one, because who wouldn't want a robot to, assuming it's very safe, watch over your kids, take care of your pet. If you have elderly parents, it's very difficult to take care of them. It's expensive, and there just aren't enough young people to take care of the old people. If you had a robot that could take care of and protect an elderly parent, I think that would be great. That would be an amazing thing to have. And I think we will have those things.” Source: Elon Musk Interview at WEF, January 2026

Mario Nawfal

47,723 次观看 • 7 个月前

Sam Altman describes how it all ends: "If you have the AIs and the humans both trying to enslave the other, and they both want the same thing, dominant species in the universe, that's bad. That's a recipe for conflict every time." "My current thought is that some version of a merge is the most likely good long-term future. This can go anywhere from plugging electrodes into our brain and literally merging, or just every person has a little chatbot that becomes an extension of their will. We're going to need something like that, so that we're one thing and it's not us versus the AI." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:
0:50

Sam Altman describes how it all ends: "If you have the AIs and the humans both trying to enslave the other, and they both want the same thing, dominant species in the universe, that's bad. That's a recipe for conflict every time." "My current thought is that some version of a merge is the most likely good long-term future. This can go anywhere from plugging electrodes into our brain and literally merging, or just every person has a little chatbot that becomes an extension of their will. We're going to need something like that, so that we're one thing and it's not us versus the AI." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:

Uncover AI

31,934 次观看 • 3 个月前

Tesla is a robotics company. It is a machine that builds machines. All of the work they’re doing on cars translates to the Optimus robot. And if there’s a shortlist of companies that will benefit from an intelligence explosion from AI? Tesla is on that list.
1:44

Tesla is a robotics company. It is a machine that builds machines. All of the work they’re doing on cars translates to the Optimus robot. And if there’s a shortlist of companies that will benefit from an intelligence explosion from AI? Tesla is on that list.

Mckay Wrigley

84,249 次观看 • 2 年前

Mirendil Co-Founder and CEO Behnam Neyshabur explains the path to self-accelerating AI: " When you think about what does a scientist or an engineer do, the main skill they have is get very deep in a domain... and build a very sharp expertise that accumulates over time." "As you kind of become expert in a domain, your expertise is becoming sharper and sharper in something that has a tiny bit of volume in the whole set of all possible things you could be working on." "And getting to that point, being able to get there is a capability that is needed to advance all areas of science." "What that view means is that you have to work on what does it take to direct a system toward like a particular angle and make fast improvement, and that's the self-accelerating AI technology." Behnam Neyshabur
1:09

Mirendil Co-Founder and CEO Behnam Neyshabur explains the path to self-accelerating AI: " When you think about what does a scientist or an engineer do, the main skill they have is get very deep in a domain... and build a very sharp expertise that accumulates over time." "As you kind of become expert in a domain, your expertise is becoming sharper and sharper in something that has a tiny bit of volume in the whole set of all possible things you could be working on." "And getting to that point, being able to get there is a capability that is needed to advance all areas of science." "What that view means is that you have to work on what does it take to direct a system toward like a particular angle and make fast improvement, and that's the self-accelerating AI technology." Behnam Neyshabur

a16z

54,856 次观看 • 2 个月前