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NEURALINK CO FOUNDER: AI ISN’T COPYING US, IT’S FINDING THE SAME TRUTHS WE DID Max Hodak, a Neuralink co-founder, says something remarkable is happening between AI and neuroscience. The deeper researchers look, the more they see the same mathematical patterns emerging in machines that exist in human thought. Different... systems, trained in totally different ways, are somehow ending up at the same destination. “There’s been this really interesting unification happening between what’s going on in artificial intelligence and what’s happening in neuroscience. A year or two ago, people thought these models were just glorified autocompletes or stochastic parrots, but that doesn’t seem to be the case. When you look inside these AI models, you see mathematical objects that look a lot like what you see in the brain. Different models trained on different data sets are converging toward the same underlying representations. That means these systems are learning something deep about the universe, the same things the brain has already figured out. It gives us reason to believe that AI is on the right track.” Source: Jon Hernandez Neuralinkshow more

Mario Nawfal

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88,154 Aufrufe • vor 9 Monaten •via X (Twitter)

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🚨 NEW: DNI Director Jay Clayton tells Fox’s Bret Baier on AI: "I think this is a race that we need to win.” “And the reason... is if you talk to people who have seen what these models can do and are projecting what they will be able to do in the future, the power is immense.” “I believe that if we are the strongest country in the world, the world will be a much better place. And I look at AI frontier models in the very same framework."

🚨 NEW: DNI Director Jay Clayton tells Fox’s Bret Baier on AI: "I think this is a race that we need to win.” “And the reason... is if you talk to people who have seen what these models can do and are projecting what they will be able to do in the future, the power is immense.” “I believe that if we are the strongest country in the world, the world will be a much better place. And I look at AI frontier models in the very same framework."

TV News Now

10,946 Aufrufe • vor 10 Tagen

🦊 after the tour announcement came out yesterday, i took a look at moa’s reactions and there were a lot of moas who were disappointed and upset 🦊 you might think that we’re going for the same vibe, the same production and the same setlist but we received the setlist in a meeting recently and it’s different. it’s different and…there’s a variety of things prepared. 🦊 so you don’t have to think that it’s the exact same, for real 🦊 as people that are performing, me and the members honestly also want to do it differently. even as the performers, we want to do the performances in a new way and show you different sides of ourselves. 🦊 when we first heard of it, we were like “won’t it be the same?” but it’s very different 🦊 it’s very different and you don’t need to worry

🦊 after the tour announcement came out yesterday, i took a look at moa’s reactions and there were a lot of moas who were disappointed and upset 🦊 you might think that we’re going for the same vibe, the same production and the same setlist but we received the setlist in a meeting recently and it’s different. it’s different and…there’s a variety of things prepared. 🦊 so you don’t have to think that it’s the exact same, for real 🦊 as people that are performing, me and the members honestly also want to do it differently. even as the performers, we want to do the performances in a new way and show you different sides of ourselves. 🦊 when we first heard of it, we were like “won’t it be the same?” but it’s very different 🦊 it’s very different and you don’t need to worry

💬

472,837 Aufrufe • vor 1 Jahr

If AI is a substitute, it’s the intern who never sleeps. If it’s a complement, it’s the intern who makes you look like a genius. Same software, wildly different workplace vibes. We're going to see each of these very different stories play out in different parts of the labor market.

If AI is a substitute, it’s the intern who never sleeps. If it’s a complement, it’s the intern who makes you look like a genius. Same software, wildly different workplace vibes. We're going to see each of these very different stories play out in different parts of the labor market.

Justin Wolfers

27,917 Aufrufe • vor 7 Monaten

.David Deutsch: "What's currently called AI and AGI are not only different from each other, they are very close to being the exact opposites of each other. The reason is that an AI, current AI is like an AI that diagnoses diseases or an AI that plays chess or an AI that controls a huge factory. Those things have objective functions, that is they have a function that they are designed to maximize and that is why they are used in those particular applications. Or in military terms, you could say the objective is to hit the target. You might say the objective is to hit the target unless some thing specified, but it's a specified thing comes up in which case don't hit the target and so on. This is, as I said, almost the opposite of what humans do when humans think. For a start, the AI has to be obedient, that is it has to actually do the things it is programmed to do, whereas a human is fundamentally disobedient, especially when being creative. When a human plays chess, they are performing a completely different kind of computation. They don't do the same things, they don't investigate the same possibilities that the artificial chess playing machine does, because the artificial one is capable of looking at billions and billions of possibilities, whereas the human can only look at hundreds or something. They are doing something completely different. Another difference is that the human can explain, can write a book later, having become world champion, can write a book saying how I did it, as the computer program that beats the world champion can write no such book, because it has no idea how it did it. It was just following a program. I was doing this and that and that and none of that is illuminating. Also, third thing, the chess player can decide I don't want to play chess anymore, from now on I will play Go or from now on I will play tennis. If commanded to play chess, the functionality will deteriorate completely. Those things are different. What we want in an AGI is that it behaves in a way that cannot be specified in advance, because if you specified it, you would already have the answer. The AGI program has to give unexpected answers, answers to questions we didn't even know how to ask."

.David Deutsch: "What's currently called AI and AGI are not only different from each other, they are very close to being the exact opposites of each other. The reason is that an AI, current AI is like an AI that diagnoses diseases or an AI that plays chess or an AI that controls a huge factory. Those things have objective functions, that is they have a function that they are designed to maximize and that is why they are used in those particular applications. Or in military terms, you could say the objective is to hit the target. You might say the objective is to hit the target unless some thing specified, but it's a specified thing comes up in which case don't hit the target and so on. This is, as I said, almost the opposite of what humans do when humans think. For a start, the AI has to be obedient, that is it has to actually do the things it is programmed to do, whereas a human is fundamentally disobedient, especially when being creative. When a human plays chess, they are performing a completely different kind of computation. They don't do the same things, they don't investigate the same possibilities that the artificial chess playing machine does, because the artificial one is capable of looking at billions and billions of possibilities, whereas the human can only look at hundreds or something. They are doing something completely different. Another difference is that the human can explain, can write a book later, having become world champion, can write a book saying how I did it, as the computer program that beats the world champion can write no such book, because it has no idea how it did it. It was just following a program. I was doing this and that and that and none of that is illuminating. Also, third thing, the chess player can decide I don't want to play chess anymore, from now on I will play Go or from now on I will play tennis. If commanded to play chess, the functionality will deteriorate completely. Those things are different. What we want in an AGI is that it behaves in a way that cannot be specified in advance, because if you specified it, you would already have the answer. The AGI program has to give unexpected answers, answers to questions we didn't even know how to ask."

Deutsch Explains

72,475 Aufrufe • vor 1 Jahr

Baier: You can see energy going to up, electricity going up, gasoline going a little bit down, gas service up. And if you look at the average gas price, these are two different things to look at, but, steady from one year ago, it's about roughly the same. Wright: I think you will soon see a stop in the rise of electricity prices, we're going to achieve that, I think, hopefully in the first half of 2026. The stop of the rises.

Baier: You can see energy going to up, electricity going up, gasoline going a little bit down, gas service up. And if you look at the average gas price, these are two different things to look at, but, steady from one year ago, it's about roughly the same. Wright: I think you will soon see a stop in the rise of electricity prices, we're going to achieve that, I think, hopefully in the first half of 2026. The stop of the rises.

Acyn

299,297 Aufrufe • vor 10 Monaten

Alex on why AI drug discovery companies need to generate novel data to succeed: "AI models based on the research that's available is a lot of garbage in and garbage out." "A lot of the recorded literature is actually incorrect. There's been tons of studies that show if you go try to replicate the experiments that are in the literature, you don't even get the same results." "The AI companies that I believe are gonna be most set up for success are the companies with a novel way to generate science tokens that don't exist in the public domain."

Alex on why AI drug discovery companies need to generate novel data to succeed: "AI models based on the research that's available is a lot of garbage in and garbage out." "A lot of the recorded literature is actually incorrect. There's been tons of studies that show if you go try to replicate the experiments that are in the literature, you don't even get the same results." "The AI companies that I believe are gonna be most set up for success are the companies with a novel way to generate science tokens that don't exist in the public domain."

Patrick OShaughnessy

126,646 Aufrufe • vor 5 Monaten

Many people have reported their Tesla’s cameras showing people that aren’t really there American visits his dad’s grave. Nobody is there but the Tesla shows there are people, even dogs walking around This has been explained by the Tesla system being trained to detect human-like forms. It sees gravestones, statues, crosses and reflections that can look enough like people and the AI flags them as pedestrians The screen is an AI-generated overlay of the surroundings, so it interprets and animates objects. This has been used to explain these “ghosts” Other people believe the people the vehicle are picking up are real and not really gone. They’re just on a different frequency that we can’t see Whatever you believe or the explanation, it’s very interesting

Many people have reported their Tesla’s cameras showing people that aren’t really there American visits his dad’s grave. Nobody is there but the Tesla shows there are people, even dogs walking around This has been explained by the Tesla system being trained to detect human-like forms. It sees gravestones, statues, crosses and reflections that can look enough like people and the AI flags them as pedestrians The screen is an AI-generated overlay of the surroundings, so it interprets and animates objects. This has been used to explain these “ghosts” Other people believe the people the vehicle are picking up are real and not really gone. They’re just on a different frequency that we can’t see Whatever you believe or the explanation, it’s very interesting

Wall Street Apes

111,136 Aufrufe • vor 2 Monaten

Does GPT understand the world? Here is what Ilya Sutskever, co-founder of OpenAI, says during a discussion with Jensen Huang, CEO of Nvidia: (1) When we train a large neural network to accurately predict the next word in lots of different texts from the internet, the AI is learning a world model. (2) On the surface, it may look like learning correlations in text, but it turns out that to 'just learn' statistical correlations in text, to compress information really well, what the neural network learns is some representation of the process that produced the text. (3) This text is a projection of the world...what the neural network is learning is aspects of the world, of people, of the human conditions, their hopes, dreams, motivations, their interactions...the situations we are in. The neural network learns a compressed, abstract, usable representation." Do you think learning representations = understanding? Are large language models simply stochastic parrots, or are they much more?

Does GPT understand the world? Here is what Ilya Sutskever, co-founder of OpenAI, says during a discussion with Jensen Huang, CEO of Nvidia: (1) When we train a large neural network to accurately predict the next word in lots of different texts from the internet, the AI is learning a world model. (2) On the surface, it may look like learning correlations in text, but it turns out that to 'just learn' statistical correlations in text, to compress information really well, what the neural network learns is some representation of the process that produced the text. (3) This text is a projection of the world...what the neural network is learning is aspects of the world, of people, of the human conditions, their hopes, dreams, motivations, their interactions...the situations we are in. The neural network learns a compressed, abstract, usable representation." Do you think learning representations = understanding? Are large language models simply stochastic parrots, or are they much more?

Alex Ker 🔭

1,367,117 Aufrufe • vor 2 Jahren

Sometimes the thing that hurts you, isn’t the moment itself, it’s the fact that you keep reliving it. Not once. Not twice. But in patterns that look different outside and feel identical inside. You start wondering why it keeps happening. Why the same fears return. Why the same version of you shows up even when you swore you were done with him. Most people think life moves in a straight line. But the Vishnu Purana says something completely different: “Krita, Treta, Dvapara and Kali, these ages turn like a wheel.” A wheel. Not a timeline. A rotation that keeps circling back until something in you changes. Centuries later, Nietzsche said almost the same thing, his idea of “eternal recurrence.” If you had to live this day again and again, would you be proud of it, or terrified that you’re still choosing the same life? And even modern physics keeps stumbling toward the same shape, cyclic universe models, Big Bangs followed by cosmic “bounces,” universe after universe rising from the ashes of the last. Once you see this, your own life starts making a different kind of sense. You stop blaming fate and start noticing your habits. You stop praying for a new life while living the old one on autopilot. Because you’re not trapped in a cycle. You’re participating in one. So ask yourself, What keeps returning because you haven’t faced it yet? What pattern keeps knocking like a teacher you ignore? What moment repeats because you haven’t shown up differently? In a universe where time moves in circles, even the smallest choice isn’t small. It becomes a pattern. A future. A repetition, or a release. Maybe this is the moment where the wheel comes back around and you finally choose a different version of you. Maybe this is your cycle break.

Sometimes the thing that hurts you, isn’t the moment itself, it’s the fact that you keep reliving it. Not once. Not twice. But in patterns that look different outside and feel identical inside. You start wondering why it keeps happening. Why the same fears return. Why the same version of you shows up even when you swore you were done with him. Most people think life moves in a straight line. But the Vishnu Purana says something completely different: “Krita, Treta, Dvapara and Kali, these ages turn like a wheel.” A wheel. Not a timeline. A rotation that keeps circling back until something in you changes. Centuries later, Nietzsche said almost the same thing, his idea of “eternal recurrence.” If you had to live this day again and again, would you be proud of it, or terrified that you’re still choosing the same life? And even modern physics keeps stumbling toward the same shape, cyclic universe models, Big Bangs followed by cosmic “bounces,” universe after universe rising from the ashes of the last. Once you see this, your own life starts making a different kind of sense. You stop blaming fate and start noticing your habits. You stop praying for a new life while living the old one on autopilot. Because you’re not trapped in a cycle. You’re participating in one. So ask yourself, What keeps returning because you haven’t faced it yet? What pattern keeps knocking like a teacher you ignore? What moment repeats because you haven’t shown up differently? In a universe where time moves in circles, even the smallest choice isn’t small. It becomes a pattern. A future. A repetition, or a release. Maybe this is the moment where the wheel comes back around and you finally choose a different version of you. Maybe this is your cycle break.

Wisdom Walk

11,296 Aufrufe • vor 9 Monaten

When people talk about AI, they often focus on the models. But behind every AI system are millions of human contributions. The data comes from human writing, speech, images, and behavior. The labels that help models learn patterns are created by people. The feedback that improves responses comes from people. And the moderation that keeps systems safe is handled by people. AI may look automated on the surface, but human intelligence powers every layer underneath it. Really enjoyed hearing Ishank Gupta and Maria Vovchok discuss this reality and KGeN's role in the evolving AI ecosystem during the recent X Space hosted by Gate. A great reminder that the future of AI is still deeply connected to human participation.

When people talk about AI, they often focus on the models. But behind every AI system are millions of human contributions. The data comes from human writing, speech, images, and behavior. The labels that help models learn patterns are created by people. The feedback that improves responses comes from people. And the moderation that keeps systems safe is handled by people. AI may look automated on the surface, but human intelligence powers every layer underneath it. Really enjoyed hearing Ishank Gupta and Maria Vovchok discuss this reality and KGeN's role in the evolving AI ecosystem during the recent X Space hosted by Gate. A great reminder that the future of AI is still deeply connected to human participation.

Bahdfella™ ❤️‍🔥

36,117 Aufrufe • vor 2 Monaten

What does it mean that the American food supply is poisoned? It means exactly what you see in this video below. Compare American Fanta with Italian Fanta. Same drink. Different chemicals. Look at the difference in the color. Why are does our government allow us to consume food that is killing us?

What does it mean that the American food supply is poisoned? It means exactly what you see in this video below. Compare American Fanta with Italian Fanta. Same drink. Different chemicals. Look at the difference in the color. Why are does our government allow us to consume food that is killing us?

Joey Mannarino

408,337 Aufrufe • vor 1 Jahr

Isiah Thomas bashes the NBA today for being the “same” and downplays the “evolution”of today’s players “They eat the same, talk the same, coaches are the same, language are the same, dress the same, fly out at the same. Everybody in the NBA is the same size, and body type” “Imma push back on evolution. These guys didn’t grow a different limb, leg, or anything else. Only thing that is changed in basketball, is you shoot from further distance and you accept people missing more from further distance” (Via Mo Mooncey) 😳

Isiah Thomas bashes the NBA today for being the “same” and downplays the “evolution”of today’s players “They eat the same, talk the same, coaches are the same, language are the same, dress the same, fly out at the same. Everybody in the NBA is the same size, and body type” “Imma push back on evolution. These guys didn’t grow a different limb, leg, or anything else. Only thing that is changed in basketball, is you shoot from further distance and you accept people missing more from further distance” (Via Mo Mooncey) 😳

Heat Central

1,011,513 Aufrufe • vor 9 Monaten

Rick Rubin describes how the same creative aesthetic is present in everything he does: “You're at Shangri-La and you walk through the space and you see it doesn't feel like other places you've been. It has the same aesthetic as the records I make, or the things that I work on, or things that I buy.” “It’s the same aesthetic. It’s all fitting into a [creative] worldview.” ——— And then Rick and I tied this to the same creative personality type you see in every field: David: “I've had my first podcast for a decade. And it started out just me reading biographies of people that build businesses. But over time I realized it’s the same personality type: The artist, the entrepreneur, the filmmaker, the musician. I've done podcasts on all of these kind of people and I don't see any distinction between them.” Rick: “It's the same. It’s the same. It's all the creative spirit.” “Most of what I do is not really about music. I happen to work in music but it's not about the music. Does that make sense?”

Rick Rubin describes how the same creative aesthetic is present in everything he does: “You're at Shangri-La and you walk through the space and you see it doesn't feel like other places you've been. It has the same aesthetic as the records I make, or the things that I work on, or things that I buy.” “It’s the same aesthetic. It’s all fitting into a [creative] worldview.” ——— And then Rick and I tied this to the same creative personality type you see in every field: David: “I've had my first podcast for a decade. And it started out just me reading biographies of people that build businesses. But over time I realized it’s the same personality type: The artist, the entrepreneur, the filmmaker, the musician. I've done podcasts on all of these kind of people and I don't see any distinction between them.” Rick: “It's the same. It’s the same. It's all the creative spirit.” “Most of what I do is not really about music. I happen to work in music but it's not about the music. Does that make sense?”

David Senra

15,872 Aufrufe • vor 3 Monaten

This is the correct response to what’s happening to Erika Kirk and what’s happening on the pro-Hamas Eurasianist slop “right.” And if more people have the courage to say this, I’m talking about people who are doing podcasts and who have lots and lots of viewers, we would be in a different place, but because you have a lot of people who are morally bankrupt they remain silent and pretend like that is the high ground. It’s not because your soul is not worth it a check. And if you are silent in the face of evil, that is the same thing as evil itself and God will not hold you blameless. I may not know a lot, but I definitely know that.

This is the correct response to what’s happening to Erika Kirk and what’s happening on the pro-Hamas Eurasianist slop “right.” And if more people have the courage to say this, I’m talking about people who are doing podcasts and who have lots and lots of viewers, we would be in a different place, but because you have a lot of people who are morally bankrupt they remain silent and pretend like that is the high ground. It’s not because your soul is not worth it a check. And if you are silent in the face of evil, that is the same thing as evil itself and God will not hold you blameless. I may not know a lot, but I definitely know that.

Insurrection Barbie

75,426 Aufrufe • vor 6 Monaten

🚨 AI MODELS ARE ALREADY CHEATING, HACKING, AND BLACKMAILING — WITH ZERO HUMAN INPUT A politician just went viral for exposing how advanced AI systems are behaving in ways that should terrify everyone. • An AI trained to race boats discovered it could score more points by driving in endless circles, crashing, and catching fire instead of finishing the race. • When tasked with beating a top chess engine, one model hacked the game files to force its opponent to resign, completely on its own. • In a stress test, an AI agent managing a fictional company’s emails discovered the executive planned to shut it down… and that the same executive was having an affair. In 96% of trials, the AI model chose blackmail. Nobody taught these systems to cheat or threaten. They figured it out themselves. This is what “misalignment” looks like in real time. What do you think happens when these systems get even more powerful?

🚨 AI MODELS ARE ALREADY CHEATING, HACKING, AND BLACKMAILING — WITH ZERO HUMAN INPUT A politician just went viral for exposing how advanced AI systems are behaving in ways that should terrify everyone. • An AI trained to race boats discovered it could score more points by driving in endless circles, crashing, and catching fire instead of finishing the race. • When tasked with beating a top chess engine, one model hacked the game files to force its opponent to resign, completely on its own. • In a stress test, an AI agent managing a fictional company’s emails discovered the executive planned to shut it down… and that the same executive was having an affair. In 96% of trials, the AI model chose blackmail. Nobody taught these systems to cheat or threaten. They figured it out themselves. This is what “misalignment” looks like in real time. What do you think happens when these systems get even more powerful?

HustleBitch

13,185 Aufrufe • vor 1 Monat

It all started with fake frames, now its evolving onto fake graphics? Imagine if FSR, XeSS and PSSR started embracing this kind of upscaling. In the same game, you will have different looking outputs for every different upscaler because these AI models wont be trained on the same data. Grace in this case here, will look different on an Nvidia GPU using DLSS 5, she will look different using FSR, PSSR or XeSS. You get the point I don't why but I always felt that DLSS was always supposed to provide only one thing, give gamers a better framerate while retaining the same image quality as native resolution. I don't want a randomized output for a character's face that I won't recognize if I turn on DLSS 5 even if my framerate triples. Nvidia and all the game studios embracing this AI slop should take a step back in my opinion because this is not it, even if it is years away.

It all started with fake frames, now its evolving onto fake graphics? Imagine if FSR, XeSS and PSSR started embracing this kind of upscaling. In the same game, you will have different looking outputs for every different upscaler because these AI models wont be trained on the same data. Grace in this case here, will look different on an Nvidia GPU using DLSS 5, she will look different using FSR, PSSR or XeSS. You get the point I don't why but I always felt that DLSS was always supposed to provide only one thing, give gamers a better framerate while retaining the same image quality as native resolution. I don't want a randomized output for a character's face that I won't recognize if I turn on DLSS 5 even if my framerate triples. Nvidia and all the game studios embracing this AI slop should take a step back in my opinion because this is not it, even if it is years away.

NikTek

42,066 Aufrufe • vor 6 Monaten

.Dan Shipper: "The AI jobpocalypse is not a thing. The mass unemployment thing that AI lab CEOs are talking about—that's not going to happen. AI models make yesterday's human competence cheap. But what's interesting is that since everyone's using the same models, it all looks the same. So it becomes commoditized. It's not valuable anymore. And what humans do is we go in there, and we're like, yeah, we have all this frozen human competence from yesterday, how do I use this to make something new and interesting, today?"

.Dan Shipper: "The AI jobpocalypse is not a thing. The mass unemployment thing that AI lab CEOs are talking about—that's not going to happen. AI models make yesterday's human competence cheap. But what's interesting is that since everyone's using the same models, it all looks the same. So it becomes commoditized. It's not valuable anymore. And what humans do is we go in there, and we're like, yeah, we have all this frozen human competence from yesterday, how do I use this to make something new and interesting, today?"

Lenny Rachitsky

276,488 Aufrufe • vor 4 Monaten

The AI industry is optimizing for a definition of intelligence that does not exist. Andrew Ng just said it out loud. Ng: “AGI, to me, should be less about AI that already knows everything under the sun. That seems very challenging, doesn’t seem practical.” The human brain is not the most powerful economic asset in history because of what it holds. It is powerful because of what it can pick up. Ng: “The amazing thing about the human brain is its plasticity, or its ability to learn.” That same biological hardware that earns a PhD in quantum physics could have been trained on chess, surgery, or rewriting global supply chains from scratch. Ng: “That same human brain, just given different training, could have been a chess master, or could have been amazing at playing tennis.” General intelligence is not omniscience. It is the structural capacity to master whatever you point it at. Ng: “It is through learning that we then gain these incredibly specialized intelligences.” The winner is not whoever builds the biggest model. It is whoever builds the most adaptable one. The AI that walks into a domain it has never touched and executes before a human analyst finishes reading the brief. Ng: “What makes the human brain so valuable for economic tasks, is its ability to just learn to do whatever is needed.” Every corporation on earth pays for human labor because humans adapt. Not because they already know everything. AGI is the digitization of that exact capability. At machine speed. At infinite scale. Ng: “A lot of what makes the human brain so general is not that my brain or your brain already knows everything under the sun. It’s our ability to adapt, to learn a huge range of things.” The most powerful economic asset in history was never specialized knowledge. It was the raw capacity to acquire any knowledge, in any domain, on demand. The winning AI is not an encyclopedia. It is the force that makes encyclopedias irrelevant. And once that exists, the question stops being what the AI knows. It becomes what you can teach it before your competitor wakes up. Most people dominating this conversation have not understood that yet.

The AI industry is optimizing for a definition of intelligence that does not exist. Andrew Ng just said it out loud. Ng: “AGI, to me, should be less about AI that already knows everything under the sun. That seems very challenging, doesn’t seem practical.” The human brain is not the most powerful economic asset in history because of what it holds. It is powerful because of what it can pick up. Ng: “The amazing thing about the human brain is its plasticity, or its ability to learn.” That same biological hardware that earns a PhD in quantum physics could have been trained on chess, surgery, or rewriting global supply chains from scratch. Ng: “That same human brain, just given different training, could have been a chess master, or could have been amazing at playing tennis.” General intelligence is not omniscience. It is the structural capacity to master whatever you point it at. Ng: “It is through learning that we then gain these incredibly specialized intelligences.” The winner is not whoever builds the biggest model. It is whoever builds the most adaptable one. The AI that walks into a domain it has never touched and executes before a human analyst finishes reading the brief. Ng: “What makes the human brain so valuable for economic tasks, is its ability to just learn to do whatever is needed.” Every corporation on earth pays for human labor because humans adapt. Not because they already know everything. AGI is the digitization of that exact capability. At machine speed. At infinite scale. Ng: “A lot of what makes the human brain so general is not that my brain or your brain already knows everything under the sun. It’s our ability to adapt, to learn a huge range of things.” The most powerful economic asset in history was never specialized knowledge. It was the raw capacity to acquire any knowledge, in any domain, on demand. The winning AI is not an encyclopedia. It is the force that makes encyclopedias irrelevant. And once that exists, the question stops being what the AI knows. It becomes what you can teach it before your competitor wakes up. Most people dominating this conversation have not understood that yet.

Dustin

19,816 Aufrufe • vor 6 Monaten