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Jensen Huang just said something that should unsettle every government on earth. Huang: “The amount of energy that we need for computing is likely a thousand times more than we currently have.” Then he said that number is probably still too low. Not by a fraction. Not even close.... Huang: “I wouldn’t be surprised if we’re off by a couple of orders of magnitude.” Every computer ever built worked the same way. You asked. It retrieved. It stopped. It waited. That’s over. Huang: “Computers are going to be generative, contextually aware, and continuous.” Retrieval is cheap. Generation is expensive. Continuous generation is civilizational. A human brain runs on 20 watts because nature had four billion years to compress it. We’re trying to brute-force the same trick in twenty. A system that thinks continuously doesn’t consume energy like a tool. It consumes energy like a living organism. Every second. So this stops being an AI race. It’s an energy race nobody will call by its real name. Whoever owns the electrons owns the cognition. Whoever owns the cognition owns the century. We spent 150 years wiring a civilization for machines that rest between tasks. We haven’t started building for the ones that don’t.show more

Dustin

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42,960 Aufrufe • vor 2 Monaten •via X (Twitter)

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Jensen Huang just described the most fundamental shift in computing since the invention of the computer itself. Almost no one has processed it. Huang: “We went from a retrieval-based computing system to a generative-based computing system.” For fifty years, a computer was a filing cabinet. You made something. Saved it. Stored it. Searched for it later. Every website. Every database. Every app. Every search engine. Same machine. Different skins. Fetch the file. Deliver the file. Display the file. That was computing. Was. Huang: “AI computers are contextually aware, which means that it has to process and generate tokens in real time.” The machine no longer retrieves what someone already made. It generates what you need the instant you ask. Not from a template. Not from a library. From context. Your question. Your moment. Answered by something that didn’t exist until you asked. The old computer found what someone wrote last year. The new computer writes what no one ever has. Every time. From nothing. That sounds subtle. It rewires everything. Huang: “We need a lot of storage in the old world. We need a lot of computation in this new world.” The old economy hoarded data. More files. More servers. More storage. Whoever built the biggest archive won. The new economy burns compute. More processing. More inference. More tokens per second. Whoever commands the most computational power wins. Storage was the currency of the retrieval era. Compute is the currency of the generative era. Every dollar still spent hoarding old files is a dollar not spent on the only thing that matters now. The ability to think in real time. Huang: “We fundamentally changed computing and the way computing is done.” He said it plainly. No drama. No metaphor. Fundamentally changed. The global infrastructure layer shifted from read to write. From looking up what exists to generating what doesn’t. Companies still organized around retrieval are curating a library in a world that no longer reads books. The ones generating answers live, at the speed of the question, are operating on a plane the old model can’t perceive. This is not an upgrade. It is a replacement. The filing cabinet era produced Google, Amazon, and every search-driven empire on the internet. The generative era will produce something that makes all of them look like the card catalog at a public library. The price of entry is not data. It is compute. Raw. Relentless. Infinite. Whoever has the most doesn’t just run the best AI. They write the future. Everyone else is still searching for it.

Jensen Huang just described the most fundamental shift in computing since the invention of the computer itself. Almost no one has processed it. Huang: “We went from a retrieval-based computing system to a generative-based computing system.” For fifty years, a computer was a filing cabinet. You made something. Saved it. Stored it. Searched for it later. Every website. Every database. Every app. Every search engine. Same machine. Different skins. Fetch the file. Deliver the file. Display the file. That was computing. Was. Huang: “AI computers are contextually aware, which means that it has to process and generate tokens in real time.” The machine no longer retrieves what someone already made. It generates what you need the instant you ask. Not from a template. Not from a library. From context. Your question. Your moment. Answered by something that didn’t exist until you asked. The old computer found what someone wrote last year. The new computer writes what no one ever has. Every time. From nothing. That sounds subtle. It rewires everything. Huang: “We need a lot of storage in the old world. We need a lot of computation in this new world.” The old economy hoarded data. More files. More servers. More storage. Whoever built the biggest archive won. The new economy burns compute. More processing. More inference. More tokens per second. Whoever commands the most computational power wins. Storage was the currency of the retrieval era. Compute is the currency of the generative era. Every dollar still spent hoarding old files is a dollar not spent on the only thing that matters now. The ability to think in real time. Huang: “We fundamentally changed computing and the way computing is done.” He said it plainly. No drama. No metaphor. Fundamentally changed. The global infrastructure layer shifted from read to write. From looking up what exists to generating what doesn’t. Companies still organized around retrieval are curating a library in a world that no longer reads books. The ones generating answers live, at the speed of the question, are operating on a plane the old model can’t perceive. This is not an upgrade. It is a replacement. The filing cabinet era produced Google, Amazon, and every search-driven empire on the internet. The generative era will produce something that makes all of them look like the card catalog at a public library. The price of entry is not data. It is compute. Raw. Relentless. Infinite. Whoever has the most doesn’t just run the best AI. They write the future. Everyone else is still searching for it.

Dustin

25,402 Aufrufe • vor 4 Monaten

$Elon Musk measures every civilization by a single number. By that number, we have not begun. Not by armies. Not by gold. By energy. By how much of it you can actually hold. A Russian physicist named Kardashev drew the scale in the sixties. The first rung should be easy. Musk: “If you’re Type I, you’re using most the energy of your planet.” That is not greatness. That is the entry fee. The moment a species stops being primitive. We have not paid it. Musk: “We’re still using a tiny fraction of the sun’s energy that reaches our planet.” And what reaches us is already almost nothing. Musk: “The Earth only receives about half a billionth of the sun’s energy.” Half a billionth. That is the entire inheritance of everyone who has ever lived. And we built everything we know on the fraction we bothered to catch. Musk: “The sun is 99.8 percent of all mass in the solar system.” Everything you have ever called the world is the rounding error. Every empire, every fortune, every border rose and fell inside a fraction of a fraction. Every war was fought over scraps. Beneath a furnace pouring out more in a single second than we will burn in a hundred years. Every economy ever designed assumed there was not enough. The sun disproved that assumption every morning since the Earth was formed. The abundance was never missing. It fell on us the whole time. We kept our eyes on the dirt. So the scale stops being a measurement. It becomes a verdict. It does not ask how advanced you are. It asks how much smallness you agreed to. Musk looked at the same sky as everyone else. And refused to sign. Scarcity was never handed to us. The sun never rationed anything. We did.$

Elon Musk measures every civilization by a single number. By that number, we have not begun. Not by armies. Not by gold. By energy. By how much of it you can actually hold. A Russian physicist named Kardashev drew the scale in the sixties. The first rung should be easy. Musk: “If you’re Type I, you’re using most the energy of your planet.” That is not greatness. That is the entry fee. The moment a species stops being primitive. We have not paid it. Musk: “We’re still using a tiny fraction of the sun’s energy that reaches our planet.” And what reaches us is already almost nothing. Musk: “The Earth only receives about half a billionth of the sun’s energy.” Half a billionth. That is the entire inheritance of everyone who has ever lived. And we built everything we know on the fraction we bothered to catch. Musk: “The sun is 99.8 percent of all mass in the solar system.” Everything you have ever called the world is the rounding error. Every empire, every fortune, every border rose and fell inside a fraction of a fraction. Every war was fought over scraps. Beneath a furnace pouring out more in a single second than we will burn in a hundred years. Every economy ever designed assumed there was not enough. The sun disproved that assumption every morning since the Earth was formed. The abundance was never missing. It fell on us the whole time. We kept our eyes on the dirt. So the scale stops being a measurement. It becomes a verdict. It does not ask how advanced you are. It asks how much smallness you agreed to. Musk looked at the same sky as everyone else. And refused to sign. Scarcity was never handed to us. The sun never rationed anything. We did.

Dustin

10,201 Aufrufe • vor 2 Monaten

For 60 years every computer ever built did the same thing. Stored information and retrieved it on demand. Jensen Huang just explained why that era is over and what replaces it. His framing was the clearest I have ever heard. Think about everything a computer has ever done for you. You wrote a document, you saved it to a file. You took a photo, it saved to a file. You recorded music, it saved to a file. When you wanted it back, you retrieved it from a disc. That is it. That is 60 years of computing. Store and retrieve. He pointed out something hiding in plain sight. We call them data centers. Not computer centers. Because we were not really computing anything meaningful. We were storing data that you retrieved based on what you tapped on your phone. Then he explained what changed. Every time you give AI a prompt today, the response is produced originally in real time. It is not retrieved from storage. It is generated fresh based on your specific context, your specific question, your specific moment. What you see is completely different from what anyone else sees because it was made for you. Jensen said every pixel you see, every word you read, every video you watch in the future will be originally generated. Not retrieved. 60 years of computing was about building better storage and faster retrieval. The entire paradigm flipped overnight. He said this simply: we went from a retrieval industry to a generation industry. And the machines that generate intelligence are what Nvidia builds. The buildings used to be called data centers because they stored data. Nobody has renamed them yet. But the job description changed completely.

For 60 years every computer ever built did the same thing. Stored information and retrieved it on demand. Jensen Huang just explained why that era is over and what replaces it. His framing was the clearest I have ever heard. Think about everything a computer has ever done for you. You wrote a document, you saved it to a file. You took a photo, it saved to a file. You recorded music, it saved to a file. When you wanted it back, you retrieved it from a disc. That is it. That is 60 years of computing. Store and retrieve. He pointed out something hiding in plain sight. We call them data centers. Not computer centers. Because we were not really computing anything meaningful. We were storing data that you retrieved based on what you tapped on your phone. Then he explained what changed. Every time you give AI a prompt today, the response is produced originally in real time. It is not retrieved from storage. It is generated fresh based on your specific context, your specific question, your specific moment. What you see is completely different from what anyone else sees because it was made for you. Jensen said every pixel you see, every word you read, every video you watch in the future will be originally generated. Not retrieved. 60 years of computing was about building better storage and faster retrieval. The entire paradigm flipped overnight. He said this simply: we went from a retrieval industry to a generation industry. And the machines that generate intelligence are what Nvidia builds. The buildings used to be called data centers because they stored data. Nobody has renamed them yet. But the job description changed completely.

Ihtesham Ali

30,059 Aufrufe • vor 1 Monat

Jensen Huang just made the case for American empire. Said it plain. Didn’t flinch. Didn’t walk it back. And almost nobody caught what he actually admitted. Jensen Huang: “The amount of compute in the United States is a hundred times more than anywhere else in the world.” One hundred times. That is not a market lead. That is a monopoly on the future of intelligence. The kind that compounds every six months until no one else can close the distance. Jensen Huang: “We make sure that the US labs are the first to hear about it and the first chance to buy it.” Every chip Nvidia designs. Every architecture they ship. America gets first access. Everyone else gets what is left. That is not a sales strategy. That is arms distribution with a quarterly earnings call. Jensen Huang: “And if they don’t have enough money, we even invest in them.” The company building the weapons is bankrolling the people who fire them. Nvidia is no longer a public company. It is a state instrument with a stock ticker. Jensen Huang: “Why would you want the United States to give up the world?” The CEO of the most valuable hardware company on earth did not hedge that. Did not qualify it. He said it like it was obvious. Because to him, it is. Nations used to be measured by steel output. Then oil reserves. Then warhead count. Now it is how much intelligence they can produce per second. Compute is no longer a commodity. It is a strategic resource. Like uranium in 1944. Except this one doubles faster than anyone can respond. Europe understands none of this. They are drafting AI regulations. Compliance frameworks. Ethics panels. Risk tiers. They are bringing paperwork to a physics war. You cannot govern intelligence you do not have the silicon to produce. China gets it. That is why they are building fabs, not filing comment periods. Nvidia already made sure the gap is not annual. It is generational. Silicon Valley still thinks it is building consumer software. Huang just told them they are building American infrastructure. Every model trained here runs on machines that exist nowhere else. Every company that scales here scales on silicon no rival can touch. The world thinks Nvidia sells chips. Nvidia sells the ability to think. And they only sell it under one flag.

Jensen Huang just made the case for American empire. Said it plain. Didn’t flinch. Didn’t walk it back. And almost nobody caught what he actually admitted. Jensen Huang: “The amount of compute in the United States is a hundred times more than anywhere else in the world.” One hundred times. That is not a market lead. That is a monopoly on the future of intelligence. The kind that compounds every six months until no one else can close the distance. Jensen Huang: “We make sure that the US labs are the first to hear about it and the first chance to buy it.” Every chip Nvidia designs. Every architecture they ship. America gets first access. Everyone else gets what is left. That is not a sales strategy. That is arms distribution with a quarterly earnings call. Jensen Huang: “And if they don’t have enough money, we even invest in them.” The company building the weapons is bankrolling the people who fire them. Nvidia is no longer a public company. It is a state instrument with a stock ticker. Jensen Huang: “Why would you want the United States to give up the world?” The CEO of the most valuable hardware company on earth did not hedge that. Did not qualify it. He said it like it was obvious. Because to him, it is. Nations used to be measured by steel output. Then oil reserves. Then warhead count. Now it is how much intelligence they can produce per second. Compute is no longer a commodity. It is a strategic resource. Like uranium in 1944. Except this one doubles faster than anyone can respond. Europe understands none of this. They are drafting AI regulations. Compliance frameworks. Ethics panels. Risk tiers. They are bringing paperwork to a physics war. You cannot govern intelligence you do not have the silicon to produce. China gets it. That is why they are building fabs, not filing comment periods. Nvidia already made sure the gap is not annual. It is generational. Silicon Valley still thinks it is building consumer software. Huang just told them they are building American infrastructure. Every model trained here runs on machines that exist nowhere else. Every company that scales here scales on silicon no rival can touch. The world thinks Nvidia sells chips. Nvidia sells the ability to think. And they only sell it under one flag.

Dustin

57,059 Aufrufe • vor 3 Monaten

Jensen Huang just told you who is winning the most important race on Earth. For fifty years, America held an unchallenged monopoly on the future. We built the transistor. We launched the internet. We wrote the source code for the modern world. Then the man who builds the physical backbone of every AI system on the planet read the score out loud. Huang: “50% of the world’s AI researchers are Chinese.” Half the minds building what comes next are not ours. Huang: “70% of last year’s AI patents are published by China.” Seven out of every ten blueprints for the next era are being written in Mandarin. Huang: “Nine out of the ten top science and technology schools in the world are now in China.” The talent pipeline did not slow down. It reversed direction. Huang: “We used to lead most of them; now they lead most of them. This has completely flipped in the last half to a decade.” Fifty years of American intellectual supremacy. Inverted in less than ten. This is not a rivalry between OpenAI and DeepSeek. This is not a stock ticker or a quarterly earnings call. This is the largest transfer of civilizational power in the modern era. And it is happening while the West drafts safety frameworks and fills out compliance paperwork. Huang: “They have a large population of highly qualified students. They work incredibly hard. This is a country with an enormous might.” China does not treat AI like a product category. They treat it as the single variable that decides who writes the rules for the next century. The West keeps asking what AI should be allowed to do. China keeps asking how fast they can build it. That gap is not philosophical. It is existential. This is not a left fight. This is not a right fight. This is a survival fight. And right now, America is not fighting it like one. The nation that controls the talent controls the research. The nation that controls the research controls the models. The nation that controls the models does not ask permission. It sets the terms. History never remembers the civilization with the better safety committee. It remembers the one that refused to stop building.

Jensen Huang just told you who is winning the most important race on Earth. For fifty years, America held an unchallenged monopoly on the future. We built the transistor. We launched the internet. We wrote the source code for the modern world. Then the man who builds the physical backbone of every AI system on the planet read the score out loud. Huang: “50% of the world’s AI researchers are Chinese.” Half the minds building what comes next are not ours. Huang: “70% of last year’s AI patents are published by China.” Seven out of every ten blueprints for the next era are being written in Mandarin. Huang: “Nine out of the ten top science and technology schools in the world are now in China.” The talent pipeline did not slow down. It reversed direction. Huang: “We used to lead most of them; now they lead most of them. This has completely flipped in the last half to a decade.” Fifty years of American intellectual supremacy. Inverted in less than ten. This is not a rivalry between OpenAI and DeepSeek. This is not a stock ticker or a quarterly earnings call. This is the largest transfer of civilizational power in the modern era. And it is happening while the West drafts safety frameworks and fills out compliance paperwork. Huang: “They have a large population of highly qualified students. They work incredibly hard. This is a country with an enormous might.” China does not treat AI like a product category. They treat it as the single variable that decides who writes the rules for the next century. The West keeps asking what AI should be allowed to do. China keeps asking how fast they can build it. That gap is not philosophical. It is existential. This is not a left fight. This is not a right fight. This is a survival fight. And right now, America is not fighting it like one. The nation that controls the talent controls the research. The nation that controls the research controls the models. The nation that controls the models does not ask permission. It sets the terms. History never remembers the civilization with the better safety committee. It remembers the one that refused to stop building.

Dustin

57,573 Aufrufe • vor 3 Monaten

Jensen Huang just said the most dangerous thing about AI that no one is sitting with. Huang: “AI basically does most of our coding. And yet we’re hiring more engineers than ever. We have more challenges than ever. We have bigger dreams than ever.” Every engineer at NVIDIA uses AI. AI writes most of their code. This is the company building the infrastructure behind every major AI system on Earth. Closer to this technology than any organization alive. They’re hiring more people. Not fewer. Every conversation about AI is built around subtraction. Fewer jobs. Fewer workers. Fewer humans in the loop. Jensen just told you the opposite is true. Huang: “Suppose we infused AI into this country, and as a result of that, we are doing things faster than ever before. Our ambition is greater than ever before. Our expectations are greater than ever before. How is that a bad condition for our country?” He’s not defending AI. He’s describing what happens inside the organizations that actually use it. It doesn’t make them leaner. It makes them hungrier. More ambition. More speed. More appetite for problems no one would have touched five years ago. The car didn’t make humans travel less. The internet didn’t make humans communicate less. No tool in human history has ever made humans want less. AI will not be the exception. Huang: “Prior to that, it’s been incredible but not useful. Now it’s useful and incredible.” Six months. That’s how fast AI crossed from impressive demo to daily weapon. The companies that adopted it didn’t shrink. They expanded. Compressed timelines. Started chasing problems they never would have attempted. The companies that ignored it stayed exactly where they were. That gap compounds. Every day a company uses AI to move faster, it learns something the one standing still never will. That knowledge stacks. That speed stacks. That ambition stacks. Jensen isn’t warning about a future where machines take your job. He’s describing a present where the companies using AI are becoming so fast and so hungry that standing still is already fatal. By the time you notice, it’s over. You were never going to be replaced by AI. You were going to be erased by someone it made hungrier than you.

Jensen Huang just said the most dangerous thing about AI that no one is sitting with. Huang: “AI basically does most of our coding. And yet we’re hiring more engineers than ever. We have more challenges than ever. We have bigger dreams than ever.” Every engineer at NVIDIA uses AI. AI writes most of their code. This is the company building the infrastructure behind every major AI system on Earth. Closer to this technology than any organization alive. They’re hiring more people. Not fewer. Every conversation about AI is built around subtraction. Fewer jobs. Fewer workers. Fewer humans in the loop. Jensen just told you the opposite is true. Huang: “Suppose we infused AI into this country, and as a result of that, we are doing things faster than ever before. Our ambition is greater than ever before. Our expectations are greater than ever before. How is that a bad condition for our country?” He’s not defending AI. He’s describing what happens inside the organizations that actually use it. It doesn’t make them leaner. It makes them hungrier. More ambition. More speed. More appetite for problems no one would have touched five years ago. The car didn’t make humans travel less. The internet didn’t make humans communicate less. No tool in human history has ever made humans want less. AI will not be the exception. Huang: “Prior to that, it’s been incredible but not useful. Now it’s useful and incredible.” Six months. That’s how fast AI crossed from impressive demo to daily weapon. The companies that adopted it didn’t shrink. They expanded. Compressed timelines. Started chasing problems they never would have attempted. The companies that ignored it stayed exactly where they were. That gap compounds. Every day a company uses AI to move faster, it learns something the one standing still never will. That knowledge stacks. That speed stacks. That ambition stacks. Jensen isn’t warning about a future where machines take your job. He’s describing a present where the companies using AI are becoming so fast and so hungry that standing still is already fatal. By the time you notice, it’s over. You were never going to be replaced by AI. You were going to be erased by someone it made hungrier than you.

Dustin

12,200 Aufrufe • vor 3 Monaten

Jensen Huang just told every AI leader in the room to grow up. Stop scaring the public with science fiction. Start communicating like the weight of civilization is on your shoulders. Because it is. Huang: “AI is not a biological being. It is not alien. It is not conscious. It is computer software.” That single statement dismantles half the panic surrounding this industry. The mainstream conversation is dominated by people projecting human malice onto math. Alien consciousness onto code. Existential dread onto a software architecture we built, we trained, and we can read. Huang: “We say things like, ‘We don’t understand it at all.’ It is not true. We understand a lot of things about this technology.” When builders tell the public they don’t understand their own creation, the public hears threat. The state responds with control. That is already happening. Palihapitiya asked Huang what he would have told Anthropic during their regulatory clash with the Department of Defense. Huang didn’t attack the technology. He attacked the communication. Huang: “The desire to warn people about the capability of the technology is really terrific. We just have to make sure that we understand that the world has a spectrum, and that warning is good, scaring is less good because this technology is too important to us.” Warning shows risks, mitigation, why upside overwhelms downside. Scaring says we might be building something that destroys us and we can’t stop it. One builds trust. The other invites regulation written in panic. Huang: “To say things that are quite extreme, quite catastrophic, that there’s no evidence of it happening, could be more damaging than people think.” Projecting catastrophe without evidence is not caution. It is sabotage. When your technology is embedded in national defense, the financial system, and healthcare infrastructure, your words carry structural weight. If the architects act terrified of their own product, the response is predictable. Governments step in. They restrict. They seize control of something they don’t understand because the builders told them to be afraid. Huang: “There was a time when nobody listened to us, but now because technology is so important in the social fabric, such an important industry, so important to national security, our words do matter.” Most tech founders have not internalized this. You are no longer a startup founder disrupting an industry. You are running infrastructure that nations depend on. Your statements move policy. Your framing shapes legislation. Your tone determines whether governments treat you as partner or threat. Huang: “We have to be much more circumspect, we have to be more moderate, we have to be more balanced, we have to be far more thoughtful.” Huang did not ask for silence. He asked for precision. The leaders who cannot tell the difference will not be leading for long.

Jensen Huang just told every AI leader in the room to grow up. Stop scaring the public with science fiction. Start communicating like the weight of civilization is on your shoulders. Because it is. Huang: “AI is not a biological being. It is not alien. It is not conscious. It is computer software.” That single statement dismantles half the panic surrounding this industry. The mainstream conversation is dominated by people projecting human malice onto math. Alien consciousness onto code. Existential dread onto a software architecture we built, we trained, and we can read. Huang: “We say things like, ‘We don’t understand it at all.’ It is not true. We understand a lot of things about this technology.” When builders tell the public they don’t understand their own creation, the public hears threat. The state responds with control. That is already happening. Palihapitiya asked Huang what he would have told Anthropic during their regulatory clash with the Department of Defense. Huang didn’t attack the technology. He attacked the communication. Huang: “The desire to warn people about the capability of the technology is really terrific. We just have to make sure that we understand that the world has a spectrum, and that warning is good, scaring is less good because this technology is too important to us.” Warning shows risks, mitigation, why upside overwhelms downside. Scaring says we might be building something that destroys us and we can’t stop it. One builds trust. The other invites regulation written in panic. Huang: “To say things that are quite extreme, quite catastrophic, that there’s no evidence of it happening, could be more damaging than people think.” Projecting catastrophe without evidence is not caution. It is sabotage. When your technology is embedded in national defense, the financial system, and healthcare infrastructure, your words carry structural weight. If the architects act terrified of their own product, the response is predictable. Governments step in. They restrict. They seize control of something they don’t understand because the builders told them to be afraid. Huang: “There was a time when nobody listened to us, but now because technology is so important in the social fabric, such an important industry, so important to national security, our words do matter.” Most tech founders have not internalized this. You are no longer a startup founder disrupting an industry. You are running infrastructure that nations depend on. Your statements move policy. Your framing shapes legislation. Your tone determines whether governments treat you as partner or threat. Huang: “We have to be much more circumspect, we have to be more moderate, we have to be more balanced, we have to be far more thoughtful.” Huang did not ask for silence. He asked for precision. The leaders who cannot tell the difference will not be leading for long.

Dustin

160,257 Aufrufe • vor 4 Monaten

Elon Musk just said the AI community is misunderstanding the math of superintelligence by two orders of magnitude. Not slightly off. Not directionally wrong. A hundred times off. Musk: “Most people in the AI community don’t yet understand. The intelligence density potential is vastly greater than what we’re currently experiencing.” Everyone is focused on the hardware race. Bigger data centers. More GPUs. Nuclear power plants built to feed the compute. That’s half the equation. Musk: “I think we’re off by two orders of magnitude in terms of intelligence density per gigabyte. That’s just algorithmic improvement. Same computer.” Read that carefully. Not more hardware. Not more energy. Not more capital. The same machine. A hundred times smarter. Through software alone. That’s before the hardware improvements compound on top of it. Musk: “And the computers are getting better. That’s why I think it is a 10x improvement per year type thing. 1,000 percent.” A thousand percent compounding annual growth rate in raw intelligence. A system that becomes 10x more capable every twelve months doesn’t follow a linear curve. It doesn’t follow an exponential curve that human intuition can track. It follows a curve that human intuition cannot simulate at all. In year one it’s 10x smarter. In year two it’s 100x. In year three it’s 1,000x. At that point, the gap between that system and a human brain is wider than the gap between a human brain and a calculator. This is the math the public isn’t running. The models aren’t just getting better. They are compounding on themselves at a rate that makes every previous technology curve look flat. Musk: “The intelligence density potential is vastly greater than what we’re currently experiencing.” We aren’t approaching superintelligence on the timeline most people imagine. We are already inside the curve.

Elon Musk just said the AI community is misunderstanding the math of superintelligence by two orders of magnitude. Not slightly off. Not directionally wrong. A hundred times off. Musk: “Most people in the AI community don’t yet understand. The intelligence density potential is vastly greater than what we’re currently experiencing.” Everyone is focused on the hardware race. Bigger data centers. More GPUs. Nuclear power plants built to feed the compute. That’s half the equation. Musk: “I think we’re off by two orders of magnitude in terms of intelligence density per gigabyte. That’s just algorithmic improvement. Same computer.” Read that carefully. Not more hardware. Not more energy. Not more capital. The same machine. A hundred times smarter. Through software alone. That’s before the hardware improvements compound on top of it. Musk: “And the computers are getting better. That’s why I think it is a 10x improvement per year type thing. 1,000 percent.” A thousand percent compounding annual growth rate in raw intelligence. A system that becomes 10x more capable every twelve months doesn’t follow a linear curve. It doesn’t follow an exponential curve that human intuition can track. It follows a curve that human intuition cannot simulate at all. In year one it’s 10x smarter. In year two it’s 100x. In year three it’s 1,000x. At that point, the gap between that system and a human brain is wider than the gap between a human brain and a calculator. This is the math the public isn’t running. The models aren’t just getting better. They are compounding on themselves at a rate that makes every previous technology curve look flat. Musk: “The intelligence density potential is vastly greater than what we’re currently experiencing.” We aren’t approaching superintelligence on the timeline most people imagine. We are already inside the curve.

Dustin

1,553,786 Aufrufe • vor 5 Monaten

Jensen Huang just described something that should keep every worker in America awake tonight. Not because AI is coming for their job. Because most of them never understood what their job actually was. Huang: “The task of our job and the purpose of our job are related, not the same.” Most people think their job is the thing they do with their hands for eight hours a day. Write code. Fill spreadsheets. Draft emails. Push pixels. That was never the job. That was the task. The job was always the thinking underneath it. Huang: “If you apply that to me, you would come to the conclusion what Jensen does for a living is tap on phones and talk. And tapping on phones and talking, AI has done that just fine. And therefore my job should be gone. But I’m busier than ever.” This is the part nobody wants to sit with. The people panicking about AI aren’t afraid of losing their work. They’re afraid of finding out they never had any. They had a routine. A repetitive motion. A series of keystrokes that felt like purpose. Now a machine does it in four seconds. Huang: “AI has created more than half a million jobs in the last couple of years.” The data says one thing. The fear says another. Because the fear was never about employment numbers. It was about identity. We spent fifty years hunched over keyboards, convinced the hunching was the work. Huang: “The idea that being human means to hunch over on this little thing, typing all the time… 50 years before that, people didn’t do that.” Fifty years. That’s all it took to build an entire identity around a posture. We don’t type for a living. We think for a living. We imagine for a living. The keyboard was always just the delivery mechanism. Never the product. Huang: “It is a fundamental flaw that we only need a billion lines of code written. We need a trillion lines of code written.” The demand was always infinite. The bottleneck was always our fingers. AI doesn’t shrink the workforce. It removes the cap on what the workforce can actually build. Huang: “Companies that use AI have demonstrated the ability to grow faster. When they grow faster, they hire more people.” Growth doesn’t eliminate people. It pulls them in. Every industrial revolution triggered the same panic. Same headlines. Same wrong conclusion. And every single time, the economy didn’t contract. It expanded into territory that didn’t exist before. The real question was never whether AI takes your job. It was whether you were ever anything more than the motions you repeated. Because somewhere in the last fifty years, we stopped asking what the work was for. We just kept typing. And now the typing is done. And millions of people are about to meet themselves for the first time. With nothing to hide behind. Some of them won’t survive what they find.

Jensen Huang just described something that should keep every worker in America awake tonight. Not because AI is coming for their job. Because most of them never understood what their job actually was. Huang: “The task of our job and the purpose of our job are related, not the same.” Most people think their job is the thing they do with their hands for eight hours a day. Write code. Fill spreadsheets. Draft emails. Push pixels. That was never the job. That was the task. The job was always the thinking underneath it. Huang: “If you apply that to me, you would come to the conclusion what Jensen does for a living is tap on phones and talk. And tapping on phones and talking, AI has done that just fine. And therefore my job should be gone. But I’m busier than ever.” This is the part nobody wants to sit with. The people panicking about AI aren’t afraid of losing their work. They’re afraid of finding out they never had any. They had a routine. A repetitive motion. A series of keystrokes that felt like purpose. Now a machine does it in four seconds. Huang: “AI has created more than half a million jobs in the last couple of years.” The data says one thing. The fear says another. Because the fear was never about employment numbers. It was about identity. We spent fifty years hunched over keyboards, convinced the hunching was the work. Huang: “The idea that being human means to hunch over on this little thing, typing all the time… 50 years before that, people didn’t do that.” Fifty years. That’s all it took to build an entire identity around a posture. We don’t type for a living. We think for a living. We imagine for a living. The keyboard was always just the delivery mechanism. Never the product. Huang: “It is a fundamental flaw that we only need a billion lines of code written. We need a trillion lines of code written.” The demand was always infinite. The bottleneck was always our fingers. AI doesn’t shrink the workforce. It removes the cap on what the workforce can actually build. Huang: “Companies that use AI have demonstrated the ability to grow faster. When they grow faster, they hire more people.” Growth doesn’t eliminate people. It pulls them in. Every industrial revolution triggered the same panic. Same headlines. Same wrong conclusion. And every single time, the economy didn’t contract. It expanded into territory that didn’t exist before. The real question was never whether AI takes your job. It was whether you were ever anything more than the motions you repeated. Because somewhere in the last fifty years, we stopped asking what the work was for. We just kept typing. And now the typing is done. And millions of people are about to meet themselves for the first time. With nothing to hide behind. Some of them won’t survive what they find.

Dustin

92,664 Aufrufe • vor 2 Monaten

🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

AI Evolution

15,565 Aufrufe • vor 2 Monaten

Jensen Huang just described how he plans to outlive his own body. Huang: “Very soon, I’m going to put a humanoid on a spaceship. And it’s going to be my humanoid.” His robot. His frame. Launched into deep space while he is still breathing. Huang: “Take all my inbox, take everything that I’ve done, everything I’ve said. It’s been collecting and becoming my AI. When the time comes, we’ll just send that at the speed of light, catch up with my robot.” Your body fails. Your data does not. Every email. Every decision. Every conversation. Recorded. Compressed. Compiled into a model that thinks the way you think. And when the biology gives out, that model launches at light speed to meet a titanium frame already cruising through the void. You do not die. You transfer. Sounds like fiction. Then he put a number on it. Huang: “Understanding the biological machine is not 10 years. It’s five years probably.” Five years to decode the human body the way we decoded software. Not treat disease. Decode it. Understand the entire machine well enough to patch it like a bug. Cancer is a bug. Alzheimer’s is a bug. Aging itself is a bug. And the compute to find the fix doubles every year. Huang: “It’s a reasonable thing to expect the end of disease.” He did not say hope for. He said expect. The man whose chips power nearly every AI system on Earth just told you the end of disease is not a dream. It is a scheduling problem. Huang: “It’s a reasonable thing to expect that pollution will be drastically reduced. It’s a reasonable thing to expect that traveling at the speed of light is actually in our future.” He listed these the way someone else lists quarterly targets. Items on a roadmap. Waiting on execution. But here is the part most people will skip past. And it might be the most important thing he said. Huang: “I’ve always had a great confidence in the kindness, the generosity, the compassion, the human capacity.” This is the man building the most powerful computing infrastructure ever constructed. The man whose hardware will power the intelligence that reshapes every industry, every government, every border on Earth. And his operating principle is not paranoia. It is trust. Huang: “Sometimes more so than I should. And I get taken advantage of. But it doesn’t ever cause me not to.” He has been burned. He kept trusting anyway. Not naivety. Evidence. Huang: “Vastly I am proven right. Constantly proven right. And often exceeds my expectations.” The doomers build everything on one assumption. Power corrupts. Humans weaponize every tool they touch. Huang has spent thirty years handing the most powerful technology in history to thousands of companies, researchers, and governments. His conclusion is the opposite. People want to do good. Give them the tools and they prove it. That is not soft. That is thirty years of data from the dead center of the compute revolution. Fridman: “What an exciting time to be alive.” Huang: “How can you not be romantic about that?” Romantic. Not optimistic. Not bullish. Romantic. Optimism is a prediction. Romance is what happens when you look at what is coming and it hits you somewhere deeper than logic. The end of disease. Consciousness uploaded. A robot carrying your mind past the rings of Saturn. Underneath all of it, a belief that the species wielding these tools is fundamentally good. That is what separates Huang from every other voice in this space. The fearful see AI and ask what could go wrong. Huang sees AI and asks how much suffering can we end. He is not dreaming out loud. He is reading the trendline and telling you exactly where it lands. Five years for biology. A lifetime for consciousness. And past that, a humanoid with your mind aboard, sailing through space at the speed of light. Built by a man who still believes in people. The cynics will laugh. They always do. Right up until the moment it ships.

Jensen Huang just described how he plans to outlive his own body. Huang: “Very soon, I’m going to put a humanoid on a spaceship. And it’s going to be my humanoid.” His robot. His frame. Launched into deep space while he is still breathing. Huang: “Take all my inbox, take everything that I’ve done, everything I’ve said. It’s been collecting and becoming my AI. When the time comes, we’ll just send that at the speed of light, catch up with my robot.” Your body fails. Your data does not. Every email. Every decision. Every conversation. Recorded. Compressed. Compiled into a model that thinks the way you think. And when the biology gives out, that model launches at light speed to meet a titanium frame already cruising through the void. You do not die. You transfer. Sounds like fiction. Then he put a number on it. Huang: “Understanding the biological machine is not 10 years. It’s five years probably.” Five years to decode the human body the way we decoded software. Not treat disease. Decode it. Understand the entire machine well enough to patch it like a bug. Cancer is a bug. Alzheimer’s is a bug. Aging itself is a bug. And the compute to find the fix doubles every year. Huang: “It’s a reasonable thing to expect the end of disease.” He did not say hope for. He said expect. The man whose chips power nearly every AI system on Earth just told you the end of disease is not a dream. It is a scheduling problem. Huang: “It’s a reasonable thing to expect that pollution will be drastically reduced. It’s a reasonable thing to expect that traveling at the speed of light is actually in our future.” He listed these the way someone else lists quarterly targets. Items on a roadmap. Waiting on execution. But here is the part most people will skip past. And it might be the most important thing he said. Huang: “I’ve always had a great confidence in the kindness, the generosity, the compassion, the human capacity.” This is the man building the most powerful computing infrastructure ever constructed. The man whose hardware will power the intelligence that reshapes every industry, every government, every border on Earth. And his operating principle is not paranoia. It is trust. Huang: “Sometimes more so than I should. And I get taken advantage of. But it doesn’t ever cause me not to.” He has been burned. He kept trusting anyway. Not naivety. Evidence. Huang: “Vastly I am proven right. Constantly proven right. And often exceeds my expectations.” The doomers build everything on one assumption. Power corrupts. Humans weaponize every tool they touch. Huang has spent thirty years handing the most powerful technology in history to thousands of companies, researchers, and governments. His conclusion is the opposite. People want to do good. Give them the tools and they prove it. That is not soft. That is thirty years of data from the dead center of the compute revolution. Fridman: “What an exciting time to be alive.” Huang: “How can you not be romantic about that?” Romantic. Not optimistic. Not bullish. Romantic. Optimism is a prediction. Romance is what happens when you look at what is coming and it hits you somewhere deeper than logic. The end of disease. Consciousness uploaded. A robot carrying your mind past the rings of Saturn. Underneath all of it, a belief that the species wielding these tools is fundamentally good. That is what separates Huang from every other voice in this space. The fearful see AI and ask what could go wrong. Huang sees AI and asks how much suffering can we end. He is not dreaming out loud. He is reading the trendline and telling you exactly where it lands. Five years for biology. A lifetime for consciousness. And past that, a humanoid with your mind aboard, sailing through space at the speed of light. Built by a man who still believes in people. The cynics will laugh. They always do. Right up until the moment it ships.

Dustin

282,792 Aufrufe • vor 4 Monaten

Jensen Huang at GTC: "I expect data center build out to reach a trillion dollars, and I am fairly certain we're going to reach that very soon." "General purpose computing has run its course, and that we need a new computing approach." "In the past we wrote the software and we ran it on computers. In the future, the computer is going to generate the tokens for the software." "The computer has become a generator of tokens, not a retrieval of files."

Jensen Huang at GTC: "I expect data center build out to reach a trillion dollars, and I am fairly certain we're going to reach that very soon." "General purpose computing has run its course, and that we need a new computing approach." "In the past we wrote the software and we ran it on computers. In the future, the computer is going to generate the tokens for the software." "The computer has become a generator of tokens, not a retrieval of files."

vitrupo

55,974 Aufrufe • vor 1 Jahr

Jensen Huang just buried the one metric civilization has run on for a century. Be the smartest person in the room. Huang: “Intelligence is going to be commoditized.” Sit with that word. Commoditized. Like oil. Like electricity. Like bandwidth. We built an entire civilization around producing human calculators. Sorted by GPA. Ranked by IQ. Rewarded for how fast they could process what nobody else could. That market just collapsed. You can rent a sharper mind than any person alive for twenty dollars a month. So what happens to the man who spent forty years being the sharpest at the table? He loses the table. Huang is not a philosopher warning you from a safe distance. He is the man whose chips are making it happen. He said it without flinching. Huang: “My life would suggest that being lower on the intelligence curve than everybody around me doesn’t change the fact I’m the most successful.” The CEO of the most valuable company on Earth just told you plainly he was never the smartest in his rooms. He won anyway. Because intelligence was never the actual edge. The people most terrified of AI are the ones who built their entire identity around being the fastest processor in the building. That identity just got priced out. Huang named what replaces it. Huang: “Character, humanity, compassion, generosity. I believe those are superhuman powers.” Things you cannot scrape from a dataset. Things you cannot distill into weights and parameters. The machine will out-compute you in milliseconds. But it cannot bleed for something. It cannot walk into a room with conviction and move people who did not want to be moved. It cannot be you. Intelligence is now infrastructure. The electricity humming behind the walls. Nobody wins by owning the electricity. You win by what you build with it. When intelligence becomes a commodity, humanity becomes the premium. The human calculator had a good run. That run is over.

Jensen Huang just buried the one metric civilization has run on for a century. Be the smartest person in the room. Huang: “Intelligence is going to be commoditized.” Sit with that word. Commoditized. Like oil. Like electricity. Like bandwidth. We built an entire civilization around producing human calculators. Sorted by GPA. Ranked by IQ. Rewarded for how fast they could process what nobody else could. That market just collapsed. You can rent a sharper mind than any person alive for twenty dollars a month. So what happens to the man who spent forty years being the sharpest at the table? He loses the table. Huang is not a philosopher warning you from a safe distance. He is the man whose chips are making it happen. He said it without flinching. Huang: “My life would suggest that being lower on the intelligence curve than everybody around me doesn’t change the fact I’m the most successful.” The CEO of the most valuable company on Earth just told you plainly he was never the smartest in his rooms. He won anyway. Because intelligence was never the actual edge. The people most terrified of AI are the ones who built their entire identity around being the fastest processor in the building. That identity just got priced out. Huang named what replaces it. Huang: “Character, humanity, compassion, generosity. I believe those are superhuman powers.” Things you cannot scrape from a dataset. Things you cannot distill into weights and parameters. The machine will out-compute you in milliseconds. But it cannot bleed for something. It cannot walk into a room with conviction and move people who did not want to be moved. It cannot be you. Intelligence is now infrastructure. The electricity humming behind the walls. Nobody wins by owning the electricity. You win by what you build with it. When intelligence becomes a commodity, humanity becomes the premium. The human calculator had a good run. That run is over.

Dustin

31,222 Aufrufe • vor 4 Monaten

Jensen Huang just told the story of how the AI revolution started with one customer, one box, and a second-floor room nobody thought twice about. Nobody on Earth wanted it. Huang: “When I announced this thing, nobody in the world wanted it. I had no purchase orders. Not one.” Nvidia had spent billions building the DGX-1. The first AI supercomputer purpose-built for deep learning. $300,000 per unit. The entire technology industry looked at it and passed. Every hyperscaler. Every research lab. Every Fortune 500 with a machine learning team. Not one purchase order. Then Elon Musk found Huang at a fireside chat in 2015. Huang: “He goes, ‘You know what? I have a company that could really use this.’” His first customer. His only customer. Then Musk finished the sentence. Huang: “He goes, ‘It’s a non-profit company.’ And all the blood drained out of my face.” Billions in R&D. A $300,000 machine. And the one person on Earth who wanted it could not pay for it. Huang built it anyway. Huang: “I boxed one up. I drove it up to San Francisco and I delivered it to Elon in 2016.” Not shipped. Not handed off to a freight company. The CEO of Nvidia personally boxed the first AI supercomputer and drove it to San Francisco himself. That is not a delivery. That is a bet. Huang: “I walked up to the second floor where they were all kind of in a room. That place turned out to have been OpenAI.” Pieter Abbeel was there. Ilya Sutskever was there. A handful of researchers, one supercomputer, and a room nobody outside that building could have named. No campus. No valuation. No infrastructure. Just raw talent and one machine the rest of the world had already rejected. Huang: “Just a bunch of people in a room.” That room built ChatGPT. That room triggered a $200 billion industry. That room forced every government on Earth to rethink national security. It started because one founder saw what the entire market refused to see, and one CEO drove the weapon there himself. The trillion-dollar AI industry did not begin in a boardroom. It began with a box in the back of a car, a non-profit that could not afford it, and a bet that every serious person in technology thought was insane. The market was unanimous. The market was wrong.

Jensen Huang just told the story of how the AI revolution started with one customer, one box, and a second-floor room nobody thought twice about. Nobody on Earth wanted it. Huang: “When I announced this thing, nobody in the world wanted it. I had no purchase orders. Not one.” Nvidia had spent billions building the DGX-1. The first AI supercomputer purpose-built for deep learning. $300,000 per unit. The entire technology industry looked at it and passed. Every hyperscaler. Every research lab. Every Fortune 500 with a machine learning team. Not one purchase order. Then Elon Musk found Huang at a fireside chat in 2015. Huang: “He goes, ‘You know what? I have a company that could really use this.’” His first customer. His only customer. Then Musk finished the sentence. Huang: “He goes, ‘It’s a non-profit company.’ And all the blood drained out of my face.” Billions in R&D. A $300,000 machine. And the one person on Earth who wanted it could not pay for it. Huang built it anyway. Huang: “I boxed one up. I drove it up to San Francisco and I delivered it to Elon in 2016.” Not shipped. Not handed off to a freight company. The CEO of Nvidia personally boxed the first AI supercomputer and drove it to San Francisco himself. That is not a delivery. That is a bet. Huang: “I walked up to the second floor where they were all kind of in a room. That place turned out to have been OpenAI.” Pieter Abbeel was there. Ilya Sutskever was there. A handful of researchers, one supercomputer, and a room nobody outside that building could have named. No campus. No valuation. No infrastructure. Just raw talent and one machine the rest of the world had already rejected. Huang: “Just a bunch of people in a room.” That room built ChatGPT. That room triggered a $200 billion industry. That room forced every government on Earth to rethink national security. It started because one founder saw what the entire market refused to see, and one CEO drove the weapon there himself. The trillion-dollar AI industry did not begin in a boardroom. It began with a box in the back of a car, a non-profit that could not afford it, and a bet that every serious person in technology thought was insane. The market was unanimous. The market was wrong.

Dustin

25,119 Aufrufe • vor 4 Monaten

$Elon Musk just told you exactly how the AI race ends. Not with a better chip. Not with a smarter model. With the Sun. Musk: “So to do that, we need to harness the power of the Sun.” That is not a metaphor. It is a thermodynamic blueprint for the next thousand years. The market thinks this race ends at a data center. It does not. Every watt generated on this planet is a rounding error compared to what the Sun outputs in a single second. You cannot run superintelligence on a grid that struggles to keep the lights on. The bottleneck of this decade is not silicon. It is not software. It is raw energy. And Earth does not have enough. Musk: “We want to be a civilization that expands to the galaxy with spaceships that anyone can go anywhere they want at any time.” That is not aspiration. That is an engineering specification. A single-planet species is a dead species on a long enough timeline. Every civilization that stopped expanding did not plateau. It collapsed. The organizations fighting for control of Earth’s power grid are fighting over a grid that is already obsolete. The real play is orbital. Space-based solar. Zero atmospheric loss. Direct capture from the source. When you decouple your compute engine from terrestrial physics, the ceiling disappears. The regulatory class wants to slow the grid down. The builders want to abandon the grid entirely. That is the fracture point of this century. The United States either captures the orbital board or watches someone else do it. There is no middle position. Musk is not building rockets. He is engineering the escape velocity for an entire species. While Washington debates permits, he is calculating how to swallow the output of a star. The Sun puts out more energy in one second than humanity has consumed in its entire history. Whoever captures even a fraction of that first does not win the AI race. They win everything.$

Elon Musk just told you exactly how the AI race ends. Not with a better chip. Not with a smarter model. With the Sun. Musk: “So to do that, we need to harness the power of the Sun.” That is not a metaphor. It is a thermodynamic blueprint for the next thousand years. The market thinks this race ends at a data center. It does not. Every watt generated on this planet is a rounding error compared to what the Sun outputs in a single second. You cannot run superintelligence on a grid that struggles to keep the lights on. The bottleneck of this decade is not silicon. It is not software. It is raw energy. And Earth does not have enough. Musk: “We want to be a civilization that expands to the galaxy with spaceships that anyone can go anywhere they want at any time.” That is not aspiration. That is an engineering specification. A single-planet species is a dead species on a long enough timeline. Every civilization that stopped expanding did not plateau. It collapsed. The organizations fighting for control of Earth’s power grid are fighting over a grid that is already obsolete. The real play is orbital. Space-based solar. Zero atmospheric loss. Direct capture from the source. When you decouple your compute engine from terrestrial physics, the ceiling disappears. The regulatory class wants to slow the grid down. The builders want to abandon the grid entirely. That is the fracture point of this century. The United States either captures the orbital board or watches someone else do it. There is no middle position. Musk is not building rockets. He is engineering the escape velocity for an entire species. While Washington debates permits, he is calculating how to swallow the output of a star. The Sun puts out more energy in one second than humanity has consumed in its entire history. Whoever captures even a fraction of that first does not win the AI race. They win everything.

Dustin

18,203 Aufrufe • vor 4 Monaten

JENSEN HUANG: “WILLPOWER - THAT IS CORPORATE CHARACTER” “The character of a company is what makes it ultimately successful, because we suffered so greatly in the beginning. It was one adversity after another. Maybe 5, 6, 7 times it was existential. The will of the people… the willpower to do something – that is corporate character. If I believe in it, I’m just going to keep doing it until it’s done. Until we’re great at it. Every time I say, ‘How hard can this be?’ – it turns out it’s incredibly hard.” Source: NVIDIA CEO Jensen Huang

JENSEN HUANG: “WILLPOWER - THAT IS CORPORATE CHARACTER” “The character of a company is what makes it ultimately successful, because we suffered so greatly in the beginning. It was one adversity after another. Maybe 5, 6, 7 times it was existential. The will of the people… the willpower to do something – that is corporate character. If I believe in it, I’m just going to keep doing it until it’s done. Until we’re great at it. Every time I say, ‘How hard can this be?’ – it turns out it’s incredibly hard.” Source: NVIDIA CEO Jensen Huang

Mario Nawfal

44,554 Aufrufe • vor 1 Jahr

$Lex Fridman asked Jensen Huang if he is afraid of death. Huang did not flinch. Huang: “The outcome that I seek, that I hope for, is that I die on the job instantaneously.” That is not a figure of speech. That is a man telling you he has already decided how this ends. No retirement. No transition plan. No golden years on a beach somewhere tallying what he built. He wants to be mid-sentence in a meeting the moment his heart gives out. And when you understand why, it changes how you see everything Nvidia is doing. Huang: “This is not a once in a lifetime experience. This is a once in a humanity experience.” Once in a lifetime means others have lived through something comparable. He is saying no one has. Not Edison. Not Ford. Not anyone at Bell Labs or Xerox PARC. The deployment of artificial intelligence at this scale, at this speed, with this much consequence has no precedent in the history of the species. And Huang is sitting at the center of it. That is not ego. That is geography. Nvidia’s chips power virtually every major AI system on Earth right now. He knows what that means. And he treats it with a seriousness most people cannot even summon for their own lives, let alone the trajectory of civilization. Then Lex asked about succession planning. Huang’s answer should be framed on the wall of every founder alive. Huang: “I don’t believe in succession planning.” Not because he thinks he is immortal. Because he thinks it is the wrong question entirely. The right question is what are you doing today to make yourself unnecessary. Huang: “The most important thing you should do today is to pass on knowledge, information, insight, skills, experience as often and continuously as you can.” He does not wait until retirement to hand over what he knows. He does not save his best thinking for a memoir. The second he learns something, it is already moving to someone else on his team. Before he has even finished processing it himself. Huang: “Nothing I learn ever sits on my desk longer than a fraction of a second.” Most executives hoard knowledge. It is how they stay relevant. How they justify the title. How they make themselves impossible to replace. Huang does the opposite. He treats his own mind like a relay station. Information comes in, gets amplified, fires out to every node that needs it. Every meeting is a transfer. Every conversation is a download. The goal is not to be the smartest person in the building. The goal is to make the building smarter than any one person in it. That is why he does not need a succession plan. If you spend every day making the people around you capable of running without you, the org never notices the moment you are gone. Your fingerprints are in how they think. But he is not planning to leave. Huang: “I really don’t want to die. I have a great life. I have a great family. I have really important work.” No drama. No existential spiral. Just a man who looked at death and filed it under problems that can wait. There is still too much to build. The people planning their exit strategies are playing a different game than Jensen Huang. He is not building a company he can walk away from. He is building one that outlasts his heartbeat because every person inside it already thinks in patterns he installed. That is not a death wish. That is a man who found the only thing worth doing and refused to do anything else.$

Lex Fridman asked Jensen Huang if he is afraid of death. Huang did not flinch. Huang: “The outcome that I seek, that I hope for, is that I die on the job instantaneously.” That is not a figure of speech. That is a man telling you he has already decided how this ends. No retirement. No transition plan. No golden years on a beach somewhere tallying what he built. He wants to be mid-sentence in a meeting the moment his heart gives out. And when you understand why, it changes how you see everything Nvidia is doing. Huang: “This is not a once in a lifetime experience. This is a once in a humanity experience.” Once in a lifetime means others have lived through something comparable. He is saying no one has. Not Edison. Not Ford. Not anyone at Bell Labs or Xerox PARC. The deployment of artificial intelligence at this scale, at this speed, with this much consequence has no precedent in the history of the species. And Huang is sitting at the center of it. That is not ego. That is geography. Nvidia’s chips power virtually every major AI system on Earth right now. He knows what that means. And he treats it with a seriousness most people cannot even summon for their own lives, let alone the trajectory of civilization. Then Lex asked about succession planning. Huang’s answer should be framed on the wall of every founder alive. Huang: “I don’t believe in succession planning.” Not because he thinks he is immortal. Because he thinks it is the wrong question entirely. The right question is what are you doing today to make yourself unnecessary. Huang: “The most important thing you should do today is to pass on knowledge, information, insight, skills, experience as often and continuously as you can.” He does not wait until retirement to hand over what he knows. He does not save his best thinking for a memoir. The second he learns something, it is already moving to someone else on his team. Before he has even finished processing it himself. Huang: “Nothing I learn ever sits on my desk longer than a fraction of a second.” Most executives hoard knowledge. It is how they stay relevant. How they justify the title. How they make themselves impossible to replace. Huang does the opposite. He treats his own mind like a relay station. Information comes in, gets amplified, fires out to every node that needs it. Every meeting is a transfer. Every conversation is a download. The goal is not to be the smartest person in the building. The goal is to make the building smarter than any one person in it. That is why he does not need a succession plan. If you spend every day making the people around you capable of running without you, the org never notices the moment you are gone. Your fingerprints are in how they think. But he is not planning to leave. Huang: “I really don’t want to die. I have a great life. I have a great family. I have really important work.” No drama. No existential spiral. Just a man who looked at death and filed it under problems that can wait. There is still too much to build. The people planning their exit strategies are playing a different game than Jensen Huang. He is not building a company he can walk away from. He is building one that outlasts his heartbeat because every person inside it already thinks in patterns he installed. That is not a death wish. That is a man who found the only thing worth doing and refused to do anything else.

Dustin

25,617 Aufrufe • vor 4 Monaten

Elon Musk just said something that should wake up every person in America. Musk: “It seems like China listens to everything I say and does it, basically.” For over a decade, Musk laid out the exact blueprint for the physical infrastructure required to power the next era of human civilization. Massive solar generation. Industrial-scale battery storage. Electric everything. He said it here. Publicly. Repeatedly. America debated it. China built it. Musk: “They’re certainly making massive battery packs. Really massive battery pack output. Vast numbers of electric cars. Vast amounts of solar.” This isn’t a technology gap. It isn’t an intelligence gap. It isn’t a vision gap. It’s a will gap. The blueprint has been public for years. Not classified. Not hidden. Not proprietary. Musk published it in interviews, in speeches, in the founding mission of every company he built. China read it. Declared it a national mandate. And mobilized an entire industrial economy to execute it. Musk: “These are all things I said we should do here.” Here. America. The country that produced the man who wrote the blueprint and then watched someone else build it. The AI arms race runs on power. Not ideas. Not funding. Not talent. Physical energy. Gigawatts of it. The kind measured in years of construction before a single model trains on it. You cannot debate your way to a power grid. You cannot committee your way to a battery factory. You cannot regulate your way to energy dominance while a competitor is already running the lines. Every year of delay is a year of advantage that compounds on the other side of the world. And the thing nobody wants to say out loud. The nation that controls the energy controls the AI. The nation that controls the AI controls the century. We wrote the blueprint. We produced the vision. We had every advantage a country could ask for. And we are watching someone else build our future in real time. The window doesn’t stay open forever. It’s closing right now. While you read this.

Elon Musk just said something that should wake up every person in America. Musk: “It seems like China listens to everything I say and does it, basically.” For over a decade, Musk laid out the exact blueprint for the physical infrastructure required to power the next era of human civilization. Massive solar generation. Industrial-scale battery storage. Electric everything. He said it here. Publicly. Repeatedly. America debated it. China built it. Musk: “They’re certainly making massive battery packs. Really massive battery pack output. Vast numbers of electric cars. Vast amounts of solar.” This isn’t a technology gap. It isn’t an intelligence gap. It isn’t a vision gap. It’s a will gap. The blueprint has been public for years. Not classified. Not hidden. Not proprietary. Musk published it in interviews, in speeches, in the founding mission of every company he built. China read it. Declared it a national mandate. And mobilized an entire industrial economy to execute it. Musk: “These are all things I said we should do here.” Here. America. The country that produced the man who wrote the blueprint and then watched someone else build it. The AI arms race runs on power. Not ideas. Not funding. Not talent. Physical energy. Gigawatts of it. The kind measured in years of construction before a single model trains on it. You cannot debate your way to a power grid. You cannot committee your way to a battery factory. You cannot regulate your way to energy dominance while a competitor is already running the lines. Every year of delay is a year of advantage that compounds on the other side of the world. And the thing nobody wants to say out loud. The nation that controls the energy controls the AI. The nation that controls the AI controls the century. We wrote the blueprint. We produced the vision. We had every advantage a country could ask for. And we are watching someone else build our future in real time. The window doesn’t stay open forever. It’s closing right now. While you read this.

Dustin

51,628 Aufrufe • vor 5 Monaten

Jensen Huang just validated Elon Musk’s entire ecosystem in a single breath. Not one product. All of it. Huang: “The work he’s doing in Grok, self-driving cars, and Optimus. These are all world-class. Every single one of them is revolutionary. Every single one of them is going to be a gigantic opportunity.” To the public, a chatbot, a car, and a robot look like three separate bets. They are one project. The total automation of human cognition and physical labor. A digital brain. A spatial nervous system. A physical body. Musk is building all three simultaneously. Huang is supplying the compute to fuse them. Huang: “We do a lot of business with Tesla and xAI. Elon is an extraordinary engineer, and I love working with him. We’ve built some amazing computers together, and we’re going to build many more.” This is not a vendor relationship. It is the most consequential technological alliance in history and most people think it is a business partnership. Then Huang said what should end every debate about Optimus. Huang: “This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology.” Huang: “Right around the corner. Likely to be the next multi-trillion dollar industry.” The humanoid robot race will not be won in a research lab. It will be won on the manufacturing floor. Every other robotics company on earth can build a robot. Tesla can flood the planet with them. Because Tesla already knows how to stamp metal, build batteries, and deploy autonomous inference at global scale. The rest of the industry has prototypes. Tesla has the most sophisticated manufacturing operation on earth. When the world’s leading chipmaker calls your robot the next multi-trillion dollar industry, the debate is over. One supplies the chips. One builds everything the chips make possible. When that infrastructure scales across Grok, FSD, and Optimus simultaneously, the question stops being whether this changes everything. It becomes how fast.

Jensen Huang just validated Elon Musk’s entire ecosystem in a single breath. Not one product. All of it. Huang: “The work he’s doing in Grok, self-driving cars, and Optimus. These are all world-class. Every single one of them is revolutionary. Every single one of them is going to be a gigantic opportunity.” To the public, a chatbot, a car, and a robot look like three separate bets. They are one project. The total automation of human cognition and physical labor. A digital brain. A spatial nervous system. A physical body. Musk is building all three simultaneously. Huang is supplying the compute to fuse them. Huang: “We do a lot of business with Tesla and xAI. Elon is an extraordinary engineer, and I love working with him. We’ve built some amazing computers together, and we’re going to build many more.” This is not a vendor relationship. It is the most consequential technological alliance in history and most people think it is a business partnership. Then Huang said what should end every debate about Optimus. Huang: “This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology.” Huang: “Right around the corner. Likely to be the next multi-trillion dollar industry.” The humanoid robot race will not be won in a research lab. It will be won on the manufacturing floor. Every other robotics company on earth can build a robot. Tesla can flood the planet with them. Because Tesla already knows how to stamp metal, build batteries, and deploy autonomous inference at global scale. The rest of the industry has prototypes. Tesla has the most sophisticated manufacturing operation on earth. When the world’s leading chipmaker calls your robot the next multi-trillion dollar industry, the debate is over. One supplies the chips. One builds everything the chips make possible. When that infrastructure scales across Grok, FSD, and Optimus simultaneously, the question stops being whether this changes everything. It becomes how fast.

Dustin

66,374 Aufrufe • vor 5 Monaten

Jensen Huang just laid out the three inflection points that turned AI from a science project into a workforce. Three shifts. Two years. Each one more irreversible than the last. The first was generative. Huang: “The technology sat in plain sight months before GPT. It wasn’t until ChatGPT put a user interface around it that generative AI took off.” The model existed. The capability was live. Nobody moved. The breakthrough was buried in a terminal only researchers could read. ChatGPT did not invent the technology. It gave the technology a face. The algorithm is never the product. The interface is the product. OpenAI did not win because they had the best model. They won because they had the best door. Then the second shift. Huang: “Internal consumption is thinking, which led to reasoning.” This is the line that reprices every AI company on Earth. The model stopped spending all its compute talking to you. It started spending compute talking to itself. Checking its own logic. Stress-testing its own answers. Running the problem to ground before it opens its mouth. That is not autocomplete. That is cognition. When a machine thinks before it speaks, you are no longer paying for text. You are paying for judgment. Huang: “We started seeing the revenues and the economic model of OpenAI start to inflect.” Revenue does not follow generation. Revenue follows reasoning. The market pays for a machine that thinks. It will never pay for a machine that guesses. Then the third shift. The one nobody comes back from. Huang: “Claude Code. The first agentic system that was very useful. Really revolutionary stuff.” Not generative. Not reasoning. Agentic. A system that does not answer questions. It completes objectives. Reads your codebase. Makes decisions. Takes action. Ships. Huang confirmed 100% of Nvidia is already using it. But Anthropic kept it behind the enterprise wall. Most people never saw what it could do. Then OpenClaw blew the wall down. Huang compared OpenClaw’s adoption to Linux. Called it the most successful open-source project in human history. OpenClaw did what ChatGPT did three years earlier. It handed a new category of AI to everyone. The moment people watched an AI agent work autonomously, the old conversation died. You are no longer asking the machine for answers. You are handing it objectives. And it delivers. Three inflection points. Three walls broken. Generation gave you a machine that writes. Reasoning gave you a machine that thinks. Agents gave you a machine that works. Each one felt like the ceiling. Each one turned out to be the floor. Huang just told you you are standing on the third floor. Looking up. The only question left is what you aim it at.

Jensen Huang just laid out the three inflection points that turned AI from a science project into a workforce. Three shifts. Two years. Each one more irreversible than the last. The first was generative. Huang: “The technology sat in plain sight months before GPT. It wasn’t until ChatGPT put a user interface around it that generative AI took off.” The model existed. The capability was live. Nobody moved. The breakthrough was buried in a terminal only researchers could read. ChatGPT did not invent the technology. It gave the technology a face. The algorithm is never the product. The interface is the product. OpenAI did not win because they had the best model. They won because they had the best door. Then the second shift. Huang: “Internal consumption is thinking, which led to reasoning.” This is the line that reprices every AI company on Earth. The model stopped spending all its compute talking to you. It started spending compute talking to itself. Checking its own logic. Stress-testing its own answers. Running the problem to ground before it opens its mouth. That is not autocomplete. That is cognition. When a machine thinks before it speaks, you are no longer paying for text. You are paying for judgment. Huang: “We started seeing the revenues and the economic model of OpenAI start to inflect.” Revenue does not follow generation. Revenue follows reasoning. The market pays for a machine that thinks. It will never pay for a machine that guesses. Then the third shift. The one nobody comes back from. Huang: “Claude Code. The first agentic system that was very useful. Really revolutionary stuff.” Not generative. Not reasoning. Agentic. A system that does not answer questions. It completes objectives. Reads your codebase. Makes decisions. Takes action. Ships. Huang confirmed 100% of Nvidia is already using it. But Anthropic kept it behind the enterprise wall. Most people never saw what it could do. Then OpenClaw blew the wall down. Huang compared OpenClaw’s adoption to Linux. Called it the most successful open-source project in human history. OpenClaw did what ChatGPT did three years earlier. It handed a new category of AI to everyone. The moment people watched an AI agent work autonomously, the old conversation died. You are no longer asking the machine for answers. You are handing it objectives. And it delivers. Three inflection points. Three walls broken. Generation gave you a machine that writes. Reasoning gave you a machine that thinks. Agents gave you a machine that works. Each one felt like the ceiling. Each one turned out to be the floor. Huang just told you you are standing on the third floor. Looking up. The only question left is what you aim it at.

Dustin

14,565 Aufrufe • vor 4 Monaten