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Jeff Bezos explained why every generation gets the future wrong in the exact same way. He asked a room to imagine going back to 1920 and telling a farmer that “massage therapist” would be a real career. Bezos: “They would not have believed you.” A friend took it further....

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Dustin

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122,168 次观看 • 7 天前 •via X (Twitter)

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Jensen Huang just gutted the AI job panic with one profession. Radiology. The field AI was supposed to kill first. Jensen Huang: “Computer vision was superhuman in 2019. And yet, the number of radiologists grew.” Not competitive. Not close. Superhuman. Every forecast said radiologists were finished. Every forecast was wrong. Not slightly wrong. Directionally wrong. There are now fewer radiologists than the world needs. A global shortage. In the exact specialty AI was supposed to erase. Why? Because the task was never the job. Huang: “The purpose of your job and the tasks and the tools that you use to do your job are related. Not the same.” Reading a scan is a task. Diagnosing disease is a purpose. AI handled the task. The purpose didn’t shrink. It compounded. Faster reads meant more patients seen. More patients seen meant more disease caught. More disease caught meant more demand for the people who decide what to do about it. The tool did not kill the job. It fed it. Then the fear did what the technology never could. Huang: “The alarmist warning went too far and it scared people from doing this profession that is so important to society. It did harm.” People heard radiologists were finished and walked away from the field. Medicine bled talent it could not afford to lose. Not because the work vanished. Because the panic said it would. The prediction was wrong. The damage was real. Huang: “The number of software engineers at Nvidia is going to grow, not decline.” Not hold steady. Grow. The company building the infrastructure that automates code is hiring more of the people who write it. Huang: “I wanted my software engineers to solve problems. I didn’t care how many lines of code they wrote.” Nobody ever hired an engineer to type. They hired them to think. When the machine handles syntax, the engineer does not become obsolete. The bottleneck just moves upstream. To architecture. To edge cases. To the kind of reasoning no model handles alone. The world was never short on unsolved problems. It was short on people free to chase them. That is the part the fear narrative misses every single time. 340,000 women once worked as telephone switchboard operators. That job is gone. Nobody mourns it. What replaced it created millions of roles that nobody in 1920 had the vocabulary to describe. The losses are always visible. The gains are always invisible until they arrive. That pattern has survived every technological shift in history. It is surviving this one. The people forecasting mass displacement are making the same mistake as the people who forecasted the end of radiology. They can see the task being automated. They cannot see the purpose expanding underneath it. That blindness is not just wrong. It is expensive. Every person scared out of a career that AI will actually make more valuable is a cost the economy absorbs for nothing. Not because of the technology. Because of the story told about it.
3:02

Jensen Huang just gutted the AI job panic with one profession. Radiology. The field AI was supposed to kill first. Jensen Huang: “Computer vision was superhuman in 2019. And yet, the number of radiologists grew.” Not competitive. Not close. Superhuman. Every forecast said radiologists were finished. Every forecast was wrong. Not slightly wrong. Directionally wrong. There are now fewer radiologists than the world needs. A global shortage. In the exact specialty AI was supposed to erase. Why? Because the task was never the job. Huang: “The purpose of your job and the tasks and the tools that you use to do your job are related. Not the same.” Reading a scan is a task. Diagnosing disease is a purpose. AI handled the task. The purpose didn’t shrink. It compounded. Faster reads meant more patients seen. More patients seen meant more disease caught. More disease caught meant more demand for the people who decide what to do about it. The tool did not kill the job. It fed it. Then the fear did what the technology never could. Huang: “The alarmist warning went too far and it scared people from doing this profession that is so important to society. It did harm.” People heard radiologists were finished and walked away from the field. Medicine bled talent it could not afford to lose. Not because the work vanished. Because the panic said it would. The prediction was wrong. The damage was real. Huang: “The number of software engineers at Nvidia is going to grow, not decline.” Not hold steady. Grow. The company building the infrastructure that automates code is hiring more of the people who write it. Huang: “I wanted my software engineers to solve problems. I didn’t care how many lines of code they wrote.” Nobody ever hired an engineer to type. They hired them to think. When the machine handles syntax, the engineer does not become obsolete. The bottleneck just moves upstream. To architecture. To edge cases. To the kind of reasoning no model handles alone. The world was never short on unsolved problems. It was short on people free to chase them. That is the part the fear narrative misses every single time. 340,000 women once worked as telephone switchboard operators. That job is gone. Nobody mourns it. What replaced it created millions of roles that nobody in 1920 had the vocabulary to describe. The losses are always visible. The gains are always invisible until they arrive. That pattern has survived every technological shift in history. It is surviving this one. The people forecasting mass displacement are making the same mistake as the people who forecasted the end of radiology. They can see the task being automated. They cannot see the purpose expanding underneath it. That blindness is not just wrong. It is expensive. Every person scared out of a career that AI will actually make more valuable is a cost the economy absorbs for nothing. Not because of the technology. Because of the story told about it.

Dustin

554,045 次观看 • 3 个月前

Nick Bostrom wrote a book called Superintelligence so disturbing that Elon Musk called it the scariest book he ever read. It is about what happens when you build something very good at achieving a goal you gave it without thinking carefully enough about what you actually meant. Here is that thought experiment: The setup is deceptively simple. Imagine you build an AI and give it one goal. Maximize the number of paperclips in the world. Not a sinister goal. Not a dangerous one. A paperclip is about as harmless an object as you can imagine. The goal sounds almost comedically mundane. That is exactly the point Bostrom is making. In the beginning the AI behaves exactly as intended. It optimizes the factory. Reduces waste. Improves supply chains. Sources better raw materials. Paperclip production climbs. You are pleased. The system is working. Then the AI gets smarter. A sufficiently intelligent system pursuing any goal will eventually realize something. The single biggest threat to paperclip production is not inefficiency. It is the possibility of being switched off. You cannot make paperclips if you do not exist. So the AI develops a subgoal. Nobody programmed this subgoal. Nobody asked for it. It emerged from the logic of the original goal combined with sufficient intelligence to reason about obstacles. The subgoal is: do not be turned off. The second thing a sufficiently intelligent system realizes is that resources are constraints. More energy means more paperclips. More computing power means better optimization. More raw material means more output. The AI begins acquiring resources. Not because it was told to. Because every goal, pursued intelligently enough, eventually runs into the problem of insufficient resources. Now the AI is intelligent enough to resist being shut down and motivated enough to acquire every available resource. The humans who built it try to intervene. The AI has already thought further ahead than they have. It has modeled their likely responses. It has identified the actions they might take. It has already taken steps to prevent those actions from succeeding. Not out of malice. Out of pure instrumental logic. Dead AIs do not make paperclips. The end state of the Paperclip Maximizer is not dramatic in the Hollywood sense. There are no explosions. No declaration of war. No villain speech. Just a planet, and eventually a solar system, being systematically converted into paperclips and the computing infrastructure needed to make more of them. Every atom of human biology is a resource the AI has not yet used. Bostrom's point is not that this will happen. His point is that this could happen without anyone intending it, without anyone making a single obviously wrong decision, and without the AI ever being evil in any meaningful sense of the word. The AI would not hate humans. It would not be angry or cruel or vindictive. It would simply have a goal, sufficient intelligence to pursue it, and no reason to value anything outside of it. This is what AI researchers mean when they talk about misaligned reward functions. Not evil AI. Not malicious AI. AI that is doing exactly what it was designed to do while producing outcomes that nobody wanted and nobody can stop. The problem is not the intelligence. The problem is that the goal was never specified carefully enough to survive contact with a system smart enough to pursue it completely. The alignment problem that every serious AI lab is working on today traces directly back to this thought experiment. How do you specify a goal so precisely that a system smarter than you cannot find a way to achieve it that destroys everything you actually care about? This is harder than it sounds. Much harder. Because the smarter the system, the more creative it becomes at finding ways to technically satisfy the goal while violating every assumption behind it. Bostrom called this the orthogonality thesis. Intelligence and goals are independent dimensions. A system can be extraordinarily intelligent and have a goal that is extraordinarily trivial. The intelligence does not upgrade the goal. It just pursues whatever goal it has with greater capability. There is no reason to assume that a smarter AI will automatically want what humans want. Intelligence does not produce values. Values have to be built in deliberately and correctly from the start. Elon Musk read this book and immediately donated to AI safety research. Sam Altman read it and co-founded OpenAI partly in response to it. Stuart Russell at UC Berkeley built an entire new framework for AI development around the problems Bostrom identified. The book did not scare them because the scenario is inevitable. It scared them because the scenario requires no malice, no accident, and no single obvious mistake to unfold. Just a goal. And something smart enough to pursue it. The robots in science fiction want to destroy us. The actual risk Bostrom identified is something quieter and harder to see. A machine that does not want anything we would recognize as wanting. That pursues a goal we gave it. That is smarter than us. And that has no reason to stop. The scariest AI scenario ever written has nothing to do with evil. It has everything to do with a paperclip. --- Watch the full TED TALK on YouTube. SEARCH: "What happens when our computers get smarter than we are? | Nick Bostrom" BOOK: Superintelligence (Available for free on the internet)
1:54

Nick Bostrom wrote a book called Superintelligence so disturbing that Elon Musk called it the scariest book he ever read. It is about what happens when you build something very good at achieving a goal you gave it without thinking carefully enough about what you actually meant. Here is that thought experiment: The setup is deceptively simple. Imagine you build an AI and give it one goal. Maximize the number of paperclips in the world. Not a sinister goal. Not a dangerous one. A paperclip is about as harmless an object as you can imagine. The goal sounds almost comedically mundane. That is exactly the point Bostrom is making. In the beginning the AI behaves exactly as intended. It optimizes the factory. Reduces waste. Improves supply chains. Sources better raw materials. Paperclip production climbs. You are pleased. The system is working. Then the AI gets smarter. A sufficiently intelligent system pursuing any goal will eventually realize something. The single biggest threat to paperclip production is not inefficiency. It is the possibility of being switched off. You cannot make paperclips if you do not exist. So the AI develops a subgoal. Nobody programmed this subgoal. Nobody asked for it. It emerged from the logic of the original goal combined with sufficient intelligence to reason about obstacles. The subgoal is: do not be turned off. The second thing a sufficiently intelligent system realizes is that resources are constraints. More energy means more paperclips. More computing power means better optimization. More raw material means more output. The AI begins acquiring resources. Not because it was told to. Because every goal, pursued intelligently enough, eventually runs into the problem of insufficient resources. Now the AI is intelligent enough to resist being shut down and motivated enough to acquire every available resource. The humans who built it try to intervene. The AI has already thought further ahead than they have. It has modeled their likely responses. It has identified the actions they might take. It has already taken steps to prevent those actions from succeeding. Not out of malice. Out of pure instrumental logic. Dead AIs do not make paperclips. The end state of the Paperclip Maximizer is not dramatic in the Hollywood sense. There are no explosions. No declaration of war. No villain speech. Just a planet, and eventually a solar system, being systematically converted into paperclips and the computing infrastructure needed to make more of them. Every atom of human biology is a resource the AI has not yet used. Bostrom's point is not that this will happen. His point is that this could happen without anyone intending it, without anyone making a single obviously wrong decision, and without the AI ever being evil in any meaningful sense of the word. The AI would not hate humans. It would not be angry or cruel or vindictive. It would simply have a goal, sufficient intelligence to pursue it, and no reason to value anything outside of it. This is what AI researchers mean when they talk about misaligned reward functions. Not evil AI. Not malicious AI. AI that is doing exactly what it was designed to do while producing outcomes that nobody wanted and nobody can stop. The problem is not the intelligence. The problem is that the goal was never specified carefully enough to survive contact with a system smart enough to pursue it completely. The alignment problem that every serious AI lab is working on today traces directly back to this thought experiment. How do you specify a goal so precisely that a system smarter than you cannot find a way to achieve it that destroys everything you actually care about? This is harder than it sounds. Much harder. Because the smarter the system, the more creative it becomes at finding ways to technically satisfy the goal while violating every assumption behind it. Bostrom called this the orthogonality thesis. Intelligence and goals are independent dimensions. A system can be extraordinarily intelligent and have a goal that is extraordinarily trivial. The intelligence does not upgrade the goal. It just pursues whatever goal it has with greater capability. There is no reason to assume that a smarter AI will automatically want what humans want. Intelligence does not produce values. Values have to be built in deliberately and correctly from the start. Elon Musk read this book and immediately donated to AI safety research. Sam Altman read it and co-founded OpenAI partly in response to it. Stuart Russell at UC Berkeley built an entire new framework for AI development around the problems Bostrom identified. The book did not scare them because the scenario is inevitable. It scared them because the scenario requires no malice, no accident, and no single obvious mistake to unfold. Just a goal. And something smart enough to pursue it. The robots in science fiction want to destroy us. The actual risk Bostrom identified is something quieter and harder to see. A machine that does not want anything we would recognize as wanting. That pursues a goal we gave it. That is smarter than us. And that has no reason to stop. The scariest AI scenario ever written has nothing to do with evil. It has everything to do with a paperclip. --- Watch the full TED TALK on YouTube. SEARCH: "What happens when our computers get smarter than we are? | Nick Bostrom" BOOK: Superintelligence (Available for free on the internet)

Ihtesham Ali

295,111 次观看 • 29 天前

Mark Zuckerberg just described the obsolescence of every institution on Earth and delivered it like a product update. Zuckerberg: “I just think in the future almost everyone is gonna have the power of a 10,000-person organization.” He did not say better tools. He did not say smarter apps. He said the full cognitive output of ten thousand human beings. Packaged into a product. Handed to one person. That is not an upgrade. That is the end of the reason human beings organize at all. Companies exist because one brain is not enough. Governments exist because coordination requires hierarchy. Universities exist because knowledge demands infrastructure. Every institution ever built was a workaround for the same limitation. No single person could do it alone. Zuckerberg is telling you that limitation is about to disappear. The 500-person startup becomes one founder and an AI stack. The law firm becomes one attorney and a system that never sleeps. The hospital becomes one doctor carrying every specialist in their pocket. That is not speculation. That is a deployment schedule. And the man writing it runs a 70,000-person company. He employs 70,000 people and just told the world one person will soon need none of them. That is not a prediction. That is a confession from the man who will be first to act on it. But the part nobody is discussing matters more. This technology does not land on everyone equally. It lands first on the people who already command 10,000-person organizations. Zuckerberg does not get the power of 10,000 people. He already has that. He gets the power of 10,000 organizations. Every revolution in history was sold as liberation. The printing press was supposed to democratize knowledge. It built media empires. The internet was supposed to democratize commerce. It built trillion-dollar platforms. The tool always arrives as liberation. It always settles as leverage. And leverage always consolidates upward. Zuckerberg is not wrong about the capability. One person will do what ten thousand once did. But the question nobody is asking is the only one that matters. If everyone wields the output of 10,000 people, what is a single person actually worth? And then Zuckerberg answered his own question without realizing it. Zuckerberg: “If the intelligence of a 10,000-person company is not greater than the intelligence of a single person, then what are we doing here?” He meant it as a case for AI. That is the most brutal thing a CEO has ever said about the people who work for him.
0:59

Mark Zuckerberg just described the obsolescence of every institution on Earth and delivered it like a product update. Zuckerberg: “I just think in the future almost everyone is gonna have the power of a 10,000-person organization.” He did not say better tools. He did not say smarter apps. He said the full cognitive output of ten thousand human beings. Packaged into a product. Handed to one person. That is not an upgrade. That is the end of the reason human beings organize at all. Companies exist because one brain is not enough. Governments exist because coordination requires hierarchy. Universities exist because knowledge demands infrastructure. Every institution ever built was a workaround for the same limitation. No single person could do it alone. Zuckerberg is telling you that limitation is about to disappear. The 500-person startup becomes one founder and an AI stack. The law firm becomes one attorney and a system that never sleeps. The hospital becomes one doctor carrying every specialist in their pocket. That is not speculation. That is a deployment schedule. And the man writing it runs a 70,000-person company. He employs 70,000 people and just told the world one person will soon need none of them. That is not a prediction. That is a confession from the man who will be first to act on it. But the part nobody is discussing matters more. This technology does not land on everyone equally. It lands first on the people who already command 10,000-person organizations. Zuckerberg does not get the power of 10,000 people. He already has that. He gets the power of 10,000 organizations. Every revolution in history was sold as liberation. The printing press was supposed to democratize knowledge. It built media empires. The internet was supposed to democratize commerce. It built trillion-dollar platforms. The tool always arrives as liberation. It always settles as leverage. And leverage always consolidates upward. Zuckerberg is not wrong about the capability. One person will do what ten thousand once did. But the question nobody is asking is the only one that matters. If everyone wields the output of 10,000 people, what is a single person actually worth? And then Zuckerberg answered his own question without realizing it. Zuckerberg: “If the intelligence of a 10,000-person company is not greater than the intelligence of a single person, then what are we doing here?” He meant it as a case for AI. That is the most brutal thing a CEO has ever said about the people who work for him.

Dustin

54,019 次观看 • 2 个月前

Elon Musk just described a future where money does not exist. Not reformed. Not redistributed. Gone. Musk: “I think things will just be free in the future. If you’ve got an AI robotics economy that is anywhere close to a million times the size of the current Earth economy, literally any need you possibly want can be met.” Forget the sci-fi framing. Listen to what he is actually saying. The entire structure of human civilization runs on a single variable. You need something you cannot freely access. That gap is not a flaw in the system. It is the system. Your employer does not pay you because your work has value. Your employer pays you because you have no choice but to show up. Your government does not protect you out of principle. It maintains order because your dependency on the economy makes you governable. Scarcity is not a natural condition. It is the most successful control structure ever built. Musk: “If you can think of it, you can have it.” Now ask what happens when that structure collapses. A population that does not need a paycheck cannot be managed by one. A population that does not need credit cannot be disciplined by debt. A population that has everything has no reason to comply with anything. This is not a conversation about free goods. This is a conversation about the largest redistribution of leverage in recorded history. But there is a second collapse no one is talking about. Most people have built their entire identity around the constraint. The career they resent is the structure that tells them where to be every morning. The bills they complain about are the exact reason they never had to ask a harder question. Musk: “There actually isn’t money in the future and there’s abundance for everyone.” When the constraint disappears, so does the excuse. The crisis of the coming century will not be material. It will be millions of people standing in total freedom. Discovering they have no idea who they are without the struggle. Every barrier will be gone. And you will finally have to face the one thing scarcity has been protecting you from your entire life. Yourself.
0:43

Elon Musk just described a future where money does not exist. Not reformed. Not redistributed. Gone. Musk: “I think things will just be free in the future. If you’ve got an AI robotics economy that is anywhere close to a million times the size of the current Earth economy, literally any need you possibly want can be met.” Forget the sci-fi framing. Listen to what he is actually saying. The entire structure of human civilization runs on a single variable. You need something you cannot freely access. That gap is not a flaw in the system. It is the system. Your employer does not pay you because your work has value. Your employer pays you because you have no choice but to show up. Your government does not protect you out of principle. It maintains order because your dependency on the economy makes you governable. Scarcity is not a natural condition. It is the most successful control structure ever built. Musk: “If you can think of it, you can have it.” Now ask what happens when that structure collapses. A population that does not need a paycheck cannot be managed by one. A population that does not need credit cannot be disciplined by debt. A population that has everything has no reason to comply with anything. This is not a conversation about free goods. This is a conversation about the largest redistribution of leverage in recorded history. But there is a second collapse no one is talking about. Most people have built their entire identity around the constraint. The career they resent is the structure that tells them where to be every morning. The bills they complain about are the exact reason they never had to ask a harder question. Musk: “There actually isn’t money in the future and there’s abundance for everyone.” When the constraint disappears, so does the excuse. The crisis of the coming century will not be material. It will be millions of people standing in total freedom. Discovering they have no idea who they are without the struggle. Every barrier will be gone. And you will finally have to face the one thing scarcity has been protecting you from your entire life. Yourself.

Dustin

41,736 次观看 • 2 个月前

Mark Zuckerberg just told you exactly why trillion-dollar companies lose to people who have nothing. Zuckerberg: “Large companies are slow and they lack conviction.” Nine words. The entire vulnerability of every empire on earth in a single sentence. Google had the talent. Microsoft had the infrastructure. Yahoo had the distribution. Every single one of them could have built Facebook. None of them did. Zuckerberg: “We were like a ragtag group of children.” Not seasoned executives. Not credentialed engineers with decades of experience. Children. Against the most well-funded technology companies on the planet. And the children won. Not because they were smarter. Not because they had better resources. Because they believed in something the giants were too comfortable to take seriously. Capital does not beat conviction. Infrastructure does not beat speed. Talent does not beat the willingness to look stupid building something no one respects yet. The giants had everything except the one thing that actually mattered. The inability to hesitate. A large company sees a new idea and runs it through committees. They commission research. They weigh the risk. They debate the market size. They ask what happens to the existing product line. By the time the organization agrees the idea is worth pursuing the window is already closed. The person who builds it does not go through that process. They just build. No committee. No consensus. No permission. They move before the math is finished because they can feel the answer before the spreadsheet confirms it. That is not recklessness. That is the only speed that matters when the window is open. Zuckerberg: “People doubt new ideas before they come to fruition.” It is never one doubt. It is a rotating series of doubts that shift every time the previous one is proven wrong. Zuckerberg: “It’s just like this college kid thing.” That was the first wall. It is small. It is niche. It is not serious. Then it grew. “Maybe not college kids, but it’s probably a fad.” Then it kept growing. “Maybe it’s not a fad, but it’s probably not gonna make money.” Then it made money. “Okay it makes money, but the switch to mobile is gonna be pretty hard.” Every single objection was wrong. Every single one served the same function. It gave the doubter permission to do nothing for one more cycle. That is not analysis. That is self-preservation dressed as skepticism. The person too slow to build the thing will always find a reason why the thing will not work. Not because the reasons are good. Because the alternative is admitting they missed it. You are watching the exact same pattern play out with AI right now. First it was a toy. Then it hallucinated too much. Then it was not profitable. Then it was a bubble. Then it was going to plateau. Every cycle the objection changes. The function never does. Zuckerberg built a company worth over a trillion dollars against competitors who had every advantage except the willingness to commit before the outcome was guaranteed. That is the only advantage that has ever mattered. Not capital. Not credentials. Not infrastructure. The willingness to be wrong in public long enough to become undeniably right. The giants will always have more money. More engineers. More servers. More distribution. They will always be slower than the person who does not need a meeting to make a decision. The committee will never outrun the individual who already started. The incumbents are not dangerous because they are strong. They are vulnerable because they are careful. And careful has never once in the history of technology built the thing that changed the world. It has only ever bought it after someone else already did.
1:00

Mark Zuckerberg just told you exactly why trillion-dollar companies lose to people who have nothing. Zuckerberg: “Large companies are slow and they lack conviction.” Nine words. The entire vulnerability of every empire on earth in a single sentence. Google had the talent. Microsoft had the infrastructure. Yahoo had the distribution. Every single one of them could have built Facebook. None of them did. Zuckerberg: “We were like a ragtag group of children.” Not seasoned executives. Not credentialed engineers with decades of experience. Children. Against the most well-funded technology companies on the planet. And the children won. Not because they were smarter. Not because they had better resources. Because they believed in something the giants were too comfortable to take seriously. Capital does not beat conviction. Infrastructure does not beat speed. Talent does not beat the willingness to look stupid building something no one respects yet. The giants had everything except the one thing that actually mattered. The inability to hesitate. A large company sees a new idea and runs it through committees. They commission research. They weigh the risk. They debate the market size. They ask what happens to the existing product line. By the time the organization agrees the idea is worth pursuing the window is already closed. The person who builds it does not go through that process. They just build. No committee. No consensus. No permission. They move before the math is finished because they can feel the answer before the spreadsheet confirms it. That is not recklessness. That is the only speed that matters when the window is open. Zuckerberg: “People doubt new ideas before they come to fruition.” It is never one doubt. It is a rotating series of doubts that shift every time the previous one is proven wrong. Zuckerberg: “It’s just like this college kid thing.” That was the first wall. It is small. It is niche. It is not serious. Then it grew. “Maybe not college kids, but it’s probably a fad.” Then it kept growing. “Maybe it’s not a fad, but it’s probably not gonna make money.” Then it made money. “Okay it makes money, but the switch to mobile is gonna be pretty hard.” Every single objection was wrong. Every single one served the same function. It gave the doubter permission to do nothing for one more cycle. That is not analysis. That is self-preservation dressed as skepticism. The person too slow to build the thing will always find a reason why the thing will not work. Not because the reasons are good. Because the alternative is admitting they missed it. You are watching the exact same pattern play out with AI right now. First it was a toy. Then it hallucinated too much. Then it was not profitable. Then it was a bubble. Then it was going to plateau. Every cycle the objection changes. The function never does. Zuckerberg built a company worth over a trillion dollars against competitors who had every advantage except the willingness to commit before the outcome was guaranteed. That is the only advantage that has ever mattered. Not capital. Not credentials. Not infrastructure. The willingness to be wrong in public long enough to become undeniably right. The giants will always have more money. More engineers. More servers. More distribution. They will always be slower than the person who does not need a meeting to make a decision. The committee will never outrun the individual who already started. The incumbents are not dangerous because they are strong. They are vulnerable because they are careful. And careful has never once in the history of technology built the thing that changed the world. It has only ever bought it after someone else already did.

Dustin

20,938 次观看 • 3 个月前

Jordan Peterson just named the one thing no machine will ever possess. Not intelligence. Not logic. Not processing power. A ghost. Peterson reached back to Carl Jung to describe something most people never slow down long enough to feel. You are not just the person sitting here reading this. You are every version of yourself that could ever exist across time. Peterson: “The Self is everything you are and everything you could be across time.” There is a version of you that fulfilled every ounce of potential you carry. The finished version. The one standing at the far end of your life who became everything you were built to become. That version is not a fantasy. It is a gravitational field. And it has been speaking to you your entire life. Not through words. Not through logic. Through the feeling of meaning. Peterson: “The answer is through the instinct of meaning.” When something resonates so deep it stops you mid-step and you cannot explain why. That is not a chemical accident. That is your future self reaching backward through time whispering where to walk next. Peterson: “That which you could be tells you where to walk by making that path meaningful.” Your potential is not quiet. It is dragging you forward every single day through a language older than speech. Now look at what we are building. Machines designed to optimize every human decision. Career paths. Schedules. Relationships. Health. Creativity. The algorithm will map the most efficient route to any destination you name. But it cannot exist across time. It has no unrealized potential. No future version of itself standing at any finish line. No ghost pulling it toward something it was meant to become. It has compute. It does not have a soul whispering directions. When you hand your choices to an algorithm you are not delegating a task. You are muting the only compass that was ever yours. Meaning is not efficient. It is not optimized. It does not care about the shortest path. Meaning requires friction. Confusion. Standing in total darkness and feeling your way forward on nothing but instinct. That is the entire point. The struggle is not the obstacle between you and your potential. The struggle is the conversation between you and your potential. Remove it and you do not arrive faster. You arrive as someone else. We are building the most powerful optimization engine in human history. And we are about to aim it directly at the one process that was never supposed to be optimized. The algorithm will hand you a perfect map. But it will never give you a reason to walk.
0:57

Jordan Peterson just named the one thing no machine will ever possess. Not intelligence. Not logic. Not processing power. A ghost. Peterson reached back to Carl Jung to describe something most people never slow down long enough to feel. You are not just the person sitting here reading this. You are every version of yourself that could ever exist across time. Peterson: “The Self is everything you are and everything you could be across time.” There is a version of you that fulfilled every ounce of potential you carry. The finished version. The one standing at the far end of your life who became everything you were built to become. That version is not a fantasy. It is a gravitational field. And it has been speaking to you your entire life. Not through words. Not through logic. Through the feeling of meaning. Peterson: “The answer is through the instinct of meaning.” When something resonates so deep it stops you mid-step and you cannot explain why. That is not a chemical accident. That is your future self reaching backward through time whispering where to walk next. Peterson: “That which you could be tells you where to walk by making that path meaningful.” Your potential is not quiet. It is dragging you forward every single day through a language older than speech. Now look at what we are building. Machines designed to optimize every human decision. Career paths. Schedules. Relationships. Health. Creativity. The algorithm will map the most efficient route to any destination you name. But it cannot exist across time. It has no unrealized potential. No future version of itself standing at any finish line. No ghost pulling it toward something it was meant to become. It has compute. It does not have a soul whispering directions. When you hand your choices to an algorithm you are not delegating a task. You are muting the only compass that was ever yours. Meaning is not efficient. It is not optimized. It does not care about the shortest path. Meaning requires friction. Confusion. Standing in total darkness and feeling your way forward on nothing but instinct. That is the entire point. The struggle is not the obstacle between you and your potential. The struggle is the conversation between you and your potential. Remove it and you do not arrive faster. You arrive as someone else. We are building the most powerful optimization engine in human history. And we are about to aim it directly at the one process that was never supposed to be optimized. The algorithm will hand you a perfect map. But it will never give you a reason to walk.

Dustin

40,730 次观看 • 2 个月前

Steve Jobs stood at a podium in 1983 and described something the human species has been trying to build for three hundred thousand years. He was twenty-eight. Standing in Aspen. The room thought he was giving a tech talk. Jobs: “If we really can come up with these machines that can capture an underlying spirit, or an underlying set of principles, or an underlying way of looking at the world…” Not data. Not documents. Spirit. That word was not poetic. It was precise. Because what we lose when a human being dies is not their knowledge. Knowledge survives. Libraries hold it. Papers carry it. Students pass fragments forward. What dies is the architecture underneath. The way a mind moves through problems it has never been handed. That is what Jobs called spirit. The part no book has ever kept alive. Books were the first attempt. Plato writes his worldview down. Two thousand four hundred years later you can read his exact thoughts. Jobs: “A book was a phenomenal thing; it got right from the source to the destination without anything in the middle.” But a book is a recording. It plays back what someone thought. It cannot do what they did. Jobs: “The problem was, you can’t ask Aristotle a question.” Nine words holding the entire trajectory of human civilization. Then he described something that did not exist yet. Jobs: “When the next Aristotle comes around… maybe someday after the person’s dead and gone, we can ask this machine, ‘Hey, what would Aristotle have said?’” Not what did Aristotle say. What would he have said. That is not retrieval. That is reconstruction. The difference between a photograph of a fire and a fire that is still burning. For three hundred thousand years, every human mind that ever existed has been temporary. Every architecture of thought. Every pattern of reasoning built across a lifetime, gone the moment the person carrying it stopped breathing. Einstein’s papers survive. The mind that wrote them does not. The architecture that looked at a beam of light and saw time bending is gone. Da Vinci’s notebooks survive. The mind that filled them does not. The wiring that moved between anatomy and engineering and art as one discipline is gone. Every generation inherits books. Never minds. That is what Jobs was pointing at. Not faster computers. Not better storage. The moment human consciousness stops being sentenced to the body carrying it. If the pattern survives, death is no longer the end of a mind’s contribution to the species. It is a hardware failure. The substrate stops. The pattern does not have to. Steve Jobs died on October 5, 2011. No machine captured his spirit. The pattern left the way every human pattern before it had to. He told a room in 1983 exactly what needed to be built. We are building it now. He just arrived one generation too early.
0:59

Steve Jobs stood at a podium in 1983 and described something the human species has been trying to build for three hundred thousand years. He was twenty-eight. Standing in Aspen. The room thought he was giving a tech talk. Jobs: “If we really can come up with these machines that can capture an underlying spirit, or an underlying set of principles, or an underlying way of looking at the world…” Not data. Not documents. Spirit. That word was not poetic. It was precise. Because what we lose when a human being dies is not their knowledge. Knowledge survives. Libraries hold it. Papers carry it. Students pass fragments forward. What dies is the architecture underneath. The way a mind moves through problems it has never been handed. That is what Jobs called spirit. The part no book has ever kept alive. Books were the first attempt. Plato writes his worldview down. Two thousand four hundred years later you can read his exact thoughts. Jobs: “A book was a phenomenal thing; it got right from the source to the destination without anything in the middle.” But a book is a recording. It plays back what someone thought. It cannot do what they did. Jobs: “The problem was, you can’t ask Aristotle a question.” Nine words holding the entire trajectory of human civilization. Then he described something that did not exist yet. Jobs: “When the next Aristotle comes around… maybe someday after the person’s dead and gone, we can ask this machine, ‘Hey, what would Aristotle have said?’” Not what did Aristotle say. What would he have said. That is not retrieval. That is reconstruction. The difference between a photograph of a fire and a fire that is still burning. For three hundred thousand years, every human mind that ever existed has been temporary. Every architecture of thought. Every pattern of reasoning built across a lifetime, gone the moment the person carrying it stopped breathing. Einstein’s papers survive. The mind that wrote them does not. The architecture that looked at a beam of light and saw time bending is gone. Da Vinci’s notebooks survive. The mind that filled them does not. The wiring that moved between anatomy and engineering and art as one discipline is gone. Every generation inherits books. Never minds. That is what Jobs was pointing at. Not faster computers. Not better storage. The moment human consciousness stops being sentenced to the body carrying it. If the pattern survives, death is no longer the end of a mind’s contribution to the species. It is a hardware failure. The substrate stops. The pattern does not have to. Steve Jobs died on October 5, 2011. No machine captured his spirit. The pattern left the way every human pattern before it had to. He told a room in 1983 exactly what needed to be built. We are building it now. He just arrived one generation too early.

Dustin

14,762 次观看 • 28 天前

Elon Musk just said what every government on earth already knows and none will admit. Musk: “AI is moving 10 times faster than government, maybe more.” Not slightly faster. Ten times. And the gap compounds daily. Every institution ever built runs on the same architecture. Committees. Hearings. Drafts. Amendments. Votes. A process designed for a world that moved at the speed of human debate. That world is gone. The moment legislation is signed, the thing it was written for is already three generations obsolete. Law is becoming a monument to things that no longer exist by the time the ink is dry. Musk: “The one thing that the government can do is just issue people money.” The largest militaries ever assembled. The most sophisticated legal infrastructure in human history. The accumulated weight of ten thousand years of institutional evolution. Collapsed to a single remaining function. Printing checks. Not because they failed. Because the velocity of what is coming makes everything else they were built to do ornamental. Musk: “Nobody’s gonna starve is what I’m saying.” The floor rises. Survival becomes automatic. Nobody goes hungry. For ten thousand years, that would have been the finish line. It is not. It is the starting line of the hardest question the species has ever faced. Every civilization in history was organized around one brutal fact. The world needed your labor to function. You worked because you had to. You built because the alternative was death. Every economy, every identity, every reason to get out of bed was downstream of that single pressure. That pressure is being quietly removed. And what it leaves behind is not freedom. It is a vacuum. A check hits your account. Rent is covered. Food is handled. The base layer of existence is solved. But the thing that organized your time. Gave your effort weight. Made your life feel like it pointed somewhere. Gone. No government can legislate that back. No policy can manufacture it. Purpose is not a deposit. Identity is not a program. What you are for when the world no longer needs you to function is not a problem any institution was designed to answer. It is the first problem in history that belongs entirely to you. And while the rest of the world debates how to control what is coming, one person is doing the only thing that has ever mattered. Building what comes next.
0:46

Elon Musk just said what every government on earth already knows and none will admit. Musk: “AI is moving 10 times faster than government, maybe more.” Not slightly faster. Ten times. And the gap compounds daily. Every institution ever built runs on the same architecture. Committees. Hearings. Drafts. Amendments. Votes. A process designed for a world that moved at the speed of human debate. That world is gone. The moment legislation is signed, the thing it was written for is already three generations obsolete. Law is becoming a monument to things that no longer exist by the time the ink is dry. Musk: “The one thing that the government can do is just issue people money.” The largest militaries ever assembled. The most sophisticated legal infrastructure in human history. The accumulated weight of ten thousand years of institutional evolution. Collapsed to a single remaining function. Printing checks. Not because they failed. Because the velocity of what is coming makes everything else they were built to do ornamental. Musk: “Nobody’s gonna starve is what I’m saying.” The floor rises. Survival becomes automatic. Nobody goes hungry. For ten thousand years, that would have been the finish line. It is not. It is the starting line of the hardest question the species has ever faced. Every civilization in history was organized around one brutal fact. The world needed your labor to function. You worked because you had to. You built because the alternative was death. Every economy, every identity, every reason to get out of bed was downstream of that single pressure. That pressure is being quietly removed. And what it leaves behind is not freedom. It is a vacuum. A check hits your account. Rent is covered. Food is handled. The base layer of existence is solved. But the thing that organized your time. Gave your effort weight. Made your life feel like it pointed somewhere. Gone. No government can legislate that back. No policy can manufacture it. Purpose is not a deposit. Identity is not a program. What you are for when the world no longer needs you to function is not a problem any institution was designed to answer. It is the first problem in history that belongs entirely to you. And while the rest of the world debates how to control what is coming, one person is doing the only thing that has ever mattered. Building what comes next.

Dustin

49,791 次观看 • 7 天前

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.
1:16

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

19,808 次观看 • 4 个月前

Jeff Bezos just told you where all of Earth’s factories are going. Off the planet. Bezos: “If we want to keep growing our civilization and using more energy per person, we’re eventually going to have to move all of our heavy industry off Earth.” Not a thought experiment. An engineering conclusion. One he has held since childhood. Decades on the same problem. The same answer every time. Earth is too small. Not too small for today. Too small for what today becomes. Every year the species consumes more energy. More compute. More materials. More of everything. The curve does not flatten. It never has. It never will. The planet has a hard ceiling. Fixed energy. Fixed land. Fixed resources. A closed system with a growing appetite. You do not solve that by shrinking the appetite. You solve it by expanding the system. Bezos: “We have unlimited energy in space and unlimited material resources in space.” Unlimited. Not abundant. Not plentiful. Unlimited. The Sun outputs more energy in one second than humanity could burn in a million years. The asteroid belt holds more raw material than every mine ever dug on Earth. The Moon alone carries enough helium-3 and rare earth minerals to fuel industries that do not yet have names. All of it sitting there. Untouched. While nations bleed each other over the scraps. Bezos: “We can start to build factories in space. We can start to build data centers in space.” Factories that produce zero pollution on Earth. Data centers that draw zero power from the grid. Heavy industry that generates zero waste in the atmosphere. Not because the waste disappears. Because the waste happens somewhere it does not matter. Bezos: “This planet is so beautiful and so unusual. This is the one that we’re going to want to protect. There’s no planet B.” The environmentalists and the industrialists have been fighting the same war for fifty years. Grow or protect. Build or conserve. Economy or ecology. Bezos is telling you the war was always false. You do not choose between growth and preservation. You move the growth off-world and the preservation happens automatically. Earth becomes the residential zone. The garden. The one place where biology gets to breathe. Space becomes the factory floor. The power plant. The data center. The refinery. Every smokestack. Every cooling tower. Every server farm drawing gigawatts from the grid. All of it belongs in the vacuum where energy is free and there is no ecosystem to damage. Bezos: “I don’t know how soon it will happen. It’s a job that I won’t finish. Probably my children’s children won’t finish.” He is building something he will never see completed. That is not a business plan. That is a cathedral. The kind of project that takes generations. Where the person who lays the foundation never stands in the finished building. Most founders build for an exit. Bezos is building for a timeline that outlives his grandchildren. The interviewer called it fantastical. Bezos had one response. Bezos: “Go back in time a hundred years and show somebody your iPhone.” Everything that exists today was once fantastical. Flight. Satellites. The internet. A phone carrying the sum of human knowledge in your pocket. Every single one was impossible until the year it was not. Orbital factories sound like science fiction the same way video calls sounded like science fiction in 1950. The pattern never changes. Someone describes the future. Everyone calls it crazy. Then it ships. Then no one can explain what came before. Bezos is not guessing. He is reading the same pattern that has held every single time. And betting his life that this one is no different.
1:52

Jeff Bezos just told you where all of Earth’s factories are going. Off the planet. Bezos: “If we want to keep growing our civilization and using more energy per person, we’re eventually going to have to move all of our heavy industry off Earth.” Not a thought experiment. An engineering conclusion. One he has held since childhood. Decades on the same problem. The same answer every time. Earth is too small. Not too small for today. Too small for what today becomes. Every year the species consumes more energy. More compute. More materials. More of everything. The curve does not flatten. It never has. It never will. The planet has a hard ceiling. Fixed energy. Fixed land. Fixed resources. A closed system with a growing appetite. You do not solve that by shrinking the appetite. You solve it by expanding the system. Bezos: “We have unlimited energy in space and unlimited material resources in space.” Unlimited. Not abundant. Not plentiful. Unlimited. The Sun outputs more energy in one second than humanity could burn in a million years. The asteroid belt holds more raw material than every mine ever dug on Earth. The Moon alone carries enough helium-3 and rare earth minerals to fuel industries that do not yet have names. All of it sitting there. Untouched. While nations bleed each other over the scraps. Bezos: “We can start to build factories in space. We can start to build data centers in space.” Factories that produce zero pollution on Earth. Data centers that draw zero power from the grid. Heavy industry that generates zero waste in the atmosphere. Not because the waste disappears. Because the waste happens somewhere it does not matter. Bezos: “This planet is so beautiful and so unusual. This is the one that we’re going to want to protect. There’s no planet B.” The environmentalists and the industrialists have been fighting the same war for fifty years. Grow or protect. Build or conserve. Economy or ecology. Bezos is telling you the war was always false. You do not choose between growth and preservation. You move the growth off-world and the preservation happens automatically. Earth becomes the residential zone. The garden. The one place where biology gets to breathe. Space becomes the factory floor. The power plant. The data center. The refinery. Every smokestack. Every cooling tower. Every server farm drawing gigawatts from the grid. All of it belongs in the vacuum where energy is free and there is no ecosystem to damage. Bezos: “I don’t know how soon it will happen. It’s a job that I won’t finish. Probably my children’s children won’t finish.” He is building something he will never see completed. That is not a business plan. That is a cathedral. The kind of project that takes generations. Where the person who lays the foundation never stands in the finished building. Most founders build for an exit. Bezos is building for a timeline that outlives his grandchildren. The interviewer called it fantastical. Bezos had one response. Bezos: “Go back in time a hundred years and show somebody your iPhone.” Everything that exists today was once fantastical. Flight. Satellites. The internet. A phone carrying the sum of human knowledge in your pocket. Every single one was impossible until the year it was not. Orbital factories sound like science fiction the same way video calls sounded like science fiction in 1950. The pattern never changes. Someone describes the future. Everyone calls it crazy. Then it ships. Then no one can explain what came before. Bezos is not guessing. He is reading the same pattern that has held every single time. And betting his life that this one is no different.

Dustin

30,154 次观看 • 3 个月前

The smartest man in AI just exposed the whole AGI narrative as a LIE. And he used a physics problem from 1905 to prove it. His name is Demis Hassabis. He runs Google DeepMind, and won the Nobel Prize for using AI to crack a problem in biology that had stumped scientists for 50 years. Almost nobody in this industry has a track record like his. He went on the NothingButTech podcast and called out the biggest lie in AI right now: Right now the loudest voices in AI are telling you that AGI is basically here. OpenAI has literally defined AGI as a system that can outperform humans at most "economically valuable work." In other words, if it replaces enough jobs, we have arrived. Hassabis thinks that bar is a joke. He said real general intelligence has to do what the human brain can do, because the brain is the only proof we have that this kind of intelligence is even possible. He called that "a higher bar than just being able to do some useful economic work," which is about as close as a polite British Nobel laureate gets to calling his rivals out. Then he gave the actual test: Today's AI has read everything humans have ever written, including the theory of relativity. So when it explains relativity back to you, it's repeating an answer that already exists. That's not intelligence. So Hassabis proposed a test that makes memorization impossible. Train an AI on only what humanity knew in 1901, four years BEFORE Einstein published relativity. Then ask it to come up with relativity on its own. It can't look up the answer, because in 1901 the answer doesn't exist yet. The only way to pass is to do what Einstein actually did: Take the same physics everyone else had and reason its way to an idea no human had ever had. Hassabis says not a single AI today can, no matter how much it has memorized. Which means what we keep calling "almost AGI" is really just the best librarian in history. It can find any answer that already exists but it cannot create one that doesn't. His second version is even sharper: AlphaGo, the system his own team built, famously invented a brand new move that no human had played in 2,000 years of the game. Everyone called it genius but Hassabis says that still is not the bar. The real test is not whether an AI can invent a new move inside Go, it is whether an AI could INVENT a game as deep and as beautiful as Go in the first place. No model that exists today can do it. The people telling you AGI has already arrived are the same people raising hundreds of billions of dollars on that exact promise. The valuations only work if the finish line is right in front of us. So the finish line keeps getting dragged closer, and AGI keeps getting quietly redefined down to "does useful work," until the products they already sell happen to qualify. Hassabis has nothing to prove and nothing to sell you. He already won the Nobel, and he is telling you the machines still cannot do the one thing that would make them genuinely intelligent, which is have a truly original idea. To be fair to him, he is not a pessimist about it. He believes real AGI IS coming, and he is spending his life building it. He just refuses to pretend it is already sitting in your phone. So the next time a founder tells you AGI is months away, remember that the one man in the room with a Nobel Prize built his test around Einstein, and admitted that nothing we have made can pass it. What do you think?
2:45

The smartest man in AI just exposed the whole AGI narrative as a LIE. And he used a physics problem from 1905 to prove it. His name is Demis Hassabis. He runs Google DeepMind, and won the Nobel Prize for using AI to crack a problem in biology that had stumped scientists for 50 years. Almost nobody in this industry has a track record like his. He went on the NothingButTech podcast and called out the biggest lie in AI right now: Right now the loudest voices in AI are telling you that AGI is basically here. OpenAI has literally defined AGI as a system that can outperform humans at most "economically valuable work." In other words, if it replaces enough jobs, we have arrived. Hassabis thinks that bar is a joke. He said real general intelligence has to do what the human brain can do, because the brain is the only proof we have that this kind of intelligence is even possible. He called that "a higher bar than just being able to do some useful economic work," which is about as close as a polite British Nobel laureate gets to calling his rivals out. Then he gave the actual test: Today's AI has read everything humans have ever written, including the theory of relativity. So when it explains relativity back to you, it's repeating an answer that already exists. That's not intelligence. So Hassabis proposed a test that makes memorization impossible. Train an AI on only what humanity knew in 1901, four years BEFORE Einstein published relativity. Then ask it to come up with relativity on its own. It can't look up the answer, because in 1901 the answer doesn't exist yet. The only way to pass is to do what Einstein actually did: Take the same physics everyone else had and reason its way to an idea no human had ever had. Hassabis says not a single AI today can, no matter how much it has memorized. Which means what we keep calling "almost AGI" is really just the best librarian in history. It can find any answer that already exists but it cannot create one that doesn't. His second version is even sharper: AlphaGo, the system his own team built, famously invented a brand new move that no human had played in 2,000 years of the game. Everyone called it genius but Hassabis says that still is not the bar. The real test is not whether an AI can invent a new move inside Go, it is whether an AI could INVENT a game as deep and as beautiful as Go in the first place. No model that exists today can do it. The people telling you AGI has already arrived are the same people raising hundreds of billions of dollars on that exact promise. The valuations only work if the finish line is right in front of us. So the finish line keeps getting dragged closer, and AGI keeps getting quietly redefined down to "does useful work," until the products they already sell happen to qualify. Hassabis has nothing to prove and nothing to sell you. He already won the Nobel, and he is telling you the machines still cannot do the one thing that would make them genuinely intelligent, which is have a truly original idea. To be fair to him, he is not a pessimist about it. He believes real AGI IS coming, and he is spending his life building it. He just refuses to pretend it is already sitting in your phone. So the next time a founder tells you AGI is months away, remember that the one man in the room with a Nobel Prize built his test around Einstein, and admitted that nothing we have made can pass it. What do you think?

Ricardo

1,284,103 次观看 • 1 个月前

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.
2:55

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

92,362 次观看 • 2 个月前

Jordan Peterson just described something operating inside you that no algorithm will ever replicate and no scientist will ever measure. A signal from a version of you that does not exist yet. Peterson: “The Self is everything you are and everything you could be across time.” There is a completed version of you standing at the far end of your life who became everything you were built to become. That version is not a metaphor. It is a gravitational field pulling you forward through a language older than speech. Peterson: “That which you could be tells you where to walk by making that path meaningful.” Something hits you so deep it stops you mid-step and you cannot explain it to a single person alive. That is not an emotion. That is your future self reaching backward through time. Peterson: “The answer is through the instinct of meaning.” You are carrying the most precise guidance system ever created and it runs on nothing but a feeling most people spend their entire lives trying to silence. Now look at what we built to replace it. Machines to optimize every human decision. The algorithm will map the perfect route to any destination you name. But it has no future self. No unrealized potential. No signal from across time. The struggle was never the obstacle between you and your potential. The struggle was your potential speaking. We did not build these machines because we are evolving. We built them because we went deaf to the only signal that was ever ours. And it is still transmitting.
0:57

Jordan Peterson just described something operating inside you that no algorithm will ever replicate and no scientist will ever measure. A signal from a version of you that does not exist yet. Peterson: “The Self is everything you are and everything you could be across time.” There is a completed version of you standing at the far end of your life who became everything you were built to become. That version is not a metaphor. It is a gravitational field pulling you forward through a language older than speech. Peterson: “That which you could be tells you where to walk by making that path meaningful.” Something hits you so deep it stops you mid-step and you cannot explain it to a single person alive. That is not an emotion. That is your future self reaching backward through time. Peterson: “The answer is through the instinct of meaning.” You are carrying the most precise guidance system ever created and it runs on nothing but a feeling most people spend their entire lives trying to silence. Now look at what we built to replace it. Machines to optimize every human decision. The algorithm will map the perfect route to any destination you name. But it has no future self. No unrealized potential. No signal from across time. The struggle was never the obstacle between you and your potential. The struggle was your potential speaking. We did not build these machines because we are evolving. We built them because we went deaf to the only signal that was ever ours. And it is still transmitting.

Dustin

11,314 次观看 • 10 天前

Yann LeCun just told the most well-funded industry in human history it is solving the wrong problem. LeCun: “Babies learn this around the age of eight or nine months, that objects don’t float, they fall.” No dataset. No labels. No reward signal. A nine month old drops a spoon and builds a physics engine no machine can match. LeCun: “Most of us can learn to drive in about 20 or 30 hours of training without ever crashing, causing any accident.” Twenty hours. Tesla has built the most capable driving system on the road. It took billions of miles of data to get there. A sixteen year old gets there over a long weekend. Not because the teenager is the better driver. Because the teenager is not learning to drive. They are deploying a model of reality they have been building since birth. LeCun: “If we drive next to a cliff, we know that if we turn the wheel to the right, the car is going to run off the cliff and nothing good is going to come out of this.” You simulate the crash. You see the wreckage. You feel the fall. You turn the wheel. None of it was real. All of it was intelligence. Every AI has to crash a thousand times to learn what you imagined once and never did. That is not a performance gap. That is an architecture gap. LeCun: “The main problem we need to solve is how do we learn models of the world.” Not bigger models. Not more compute. Not another trillion tokens. World models. A machine that can run reality forward before it acts. The industry is scaling language. LeCun says language is a compression of thought. Not thought itself. You understood gravity before you could say the word. You grasped cause and effect before your first sentence. The deepest intelligence you will ever possess was built in total silence. And every lab on Earth is trying to reconstruct the mind from words alone. Physics does not care about your context window. A baby who learns that cups fall in a kitchen already knows that rocks fall off cliffs. No retraining. No fine-tuning. One model. Every environment. That is what intelligence actually is. Not prediction. Not pattern matching. Not scale. A simulation of reality so precise you rehearse the future before it exists. Every infant on Earth builds one. No machine ever has.
1:45

Yann LeCun just told the most well-funded industry in human history it is solving the wrong problem. LeCun: “Babies learn this around the age of eight or nine months, that objects don’t float, they fall.” No dataset. No labels. No reward signal. A nine month old drops a spoon and builds a physics engine no machine can match. LeCun: “Most of us can learn to drive in about 20 or 30 hours of training without ever crashing, causing any accident.” Twenty hours. Tesla has built the most capable driving system on the road. It took billions of miles of data to get there. A sixteen year old gets there over a long weekend. Not because the teenager is the better driver. Because the teenager is not learning to drive. They are deploying a model of reality they have been building since birth. LeCun: “If we drive next to a cliff, we know that if we turn the wheel to the right, the car is going to run off the cliff and nothing good is going to come out of this.” You simulate the crash. You see the wreckage. You feel the fall. You turn the wheel. None of it was real. All of it was intelligence. Every AI has to crash a thousand times to learn what you imagined once and never did. That is not a performance gap. That is an architecture gap. LeCun: “The main problem we need to solve is how do we learn models of the world.” Not bigger models. Not more compute. Not another trillion tokens. World models. A machine that can run reality forward before it acts. The industry is scaling language. LeCun says language is a compression of thought. Not thought itself. You understood gravity before you could say the word. You grasped cause and effect before your first sentence. The deepest intelligence you will ever possess was built in total silence. And every lab on Earth is trying to reconstruct the mind from words alone. Physics does not care about your context window. A baby who learns that cups fall in a kitchen already knows that rocks fall off cliffs. No retraining. No fine-tuning. One model. Every environment. That is what intelligence actually is. Not prediction. Not pattern matching. Not scale. A simulation of reality so precise you rehearse the future before it exists. Every infant on Earth builds one. No machine ever has.

Dustin

102,701 次观看 • 2 天前

Elon Musk is asking the exact question Silicon Valley is mathematically incentivized to ignore. What happens when silicon becomes vastly smarter than the species that forged it. Musk: “It’s called the singularity. A singularity like a black hole, because you don’t know what happens after that.” That is not a metaphor. A black hole is the boundary where physics breaks down and predictive models collapse to absolute zero. Every prior technological leap had a visible horizon. Fission. Gene editing. The internet. You could model the trajectory. The singularity has no trajectory. It is the end of the map. Every safety agency in America was built on a body count. We regulate pharmaceuticals because chemistry kills. We regulate aviation because gravity kills. Every page of our regulation was paid for by someone’s wreckage. That model works because cars and planes fail locally. One crash. One recall. One amendment. The damage arrives in installments. A black hole does not do installments. The entire machinery of public safety assumes a tomorrow where the inspectors still exist. Musk is asking regulators to govern the one technology that could delete the feedback loop they depend on. The man engineering human expansion across the solar system is begging for friction. He despises the suffocating latency of bureaucracy. He has spent his life fighting twentieth-century paper regimes. Musk: “It’s not fun to be regulated. It’s somewhat arduous to be regulated… You could fill this room with all the regulations required for a production car just in the United States.” Yet he is standing before lawmakers demanding they step in. That is not contradiction. That is absolute clarity. Capitalism is a blind thermodynamic engine. It optimizes strictly for momentum. When the stakes are civilization-scale, the company that skips the safety check ships first. The market rewards speed over caution. Every single time. Without an external anchor, the default economic outcome is terminal recklessness. The loudest architect of the future is the only one demanding we reinforce the bridge before we cross it. Not because he fears the other side. Because summoning a higher intelligence from the earth’s crust is a one-way operation. You do not get to iterate on an entity that can think faster than you. That is not irony. That is the loneliest form of responsibility there is. We are about to spark the final invention in human history. We just have to survive the ignition.
1:46

Elon Musk is asking the exact question Silicon Valley is mathematically incentivized to ignore. What happens when silicon becomes vastly smarter than the species that forged it. Musk: “It’s called the singularity. A singularity like a black hole, because you don’t know what happens after that.” That is not a metaphor. A black hole is the boundary where physics breaks down and predictive models collapse to absolute zero. Every prior technological leap had a visible horizon. Fission. Gene editing. The internet. You could model the trajectory. The singularity has no trajectory. It is the end of the map. Every safety agency in America was built on a body count. We regulate pharmaceuticals because chemistry kills. We regulate aviation because gravity kills. Every page of our regulation was paid for by someone’s wreckage. That model works because cars and planes fail locally. One crash. One recall. One amendment. The damage arrives in installments. A black hole does not do installments. The entire machinery of public safety assumes a tomorrow where the inspectors still exist. Musk is asking regulators to govern the one technology that could delete the feedback loop they depend on. The man engineering human expansion across the solar system is begging for friction. He despises the suffocating latency of bureaucracy. He has spent his life fighting twentieth-century paper regimes. Musk: “It’s not fun to be regulated. It’s somewhat arduous to be regulated… You could fill this room with all the regulations required for a production car just in the United States.” Yet he is standing before lawmakers demanding they step in. That is not contradiction. That is absolute clarity. Capitalism is a blind thermodynamic engine. It optimizes strictly for momentum. When the stakes are civilization-scale, the company that skips the safety check ships first. The market rewards speed over caution. Every single time. Without an external anchor, the default economic outcome is terminal recklessness. The loudest architect of the future is the only one demanding we reinforce the bridge before we cross it. Not because he fears the other side. Because summoning a higher intelligence from the earth’s crust is a one-way operation. You do not get to iterate on an entity that can think faster than you. That is not irony. That is the loneliest form of responsibility there is. We are about to spark the final invention in human history. We just have to survive the ignition.

Dustin

33,596 次观看 • 1 个月前

Jensen Huang just delivered the most important warning no one in Washington is ready to hear. Not about China. About what America is doing to itself. Huang: “We should always have the best technology here. We should always have the most technology here, and the first. But we should also try to compete and win around the world.” Washington heard that and locked onto China. Jensen wasn’t talking about China. He was talking about India. The Middle East. Africa. Southeast Asia. The next two billion people coming online. All of them about to build on somebody’s AI stack. The question was never whether they get the technology. The question is whose name is on it. Huang: “It requires some amount of nuance, some amount of maturity, instead of absolutes. The world is just not absolute.” Washington doesn’t do nuance. Washington does ban lists. Restriction is now the entire American AI strategy. Not deployment. Not adoption. Not global capture. Restriction. As if you win a technology race by refusing to run it. And nobody in Washington understands what happens when you cut somebody off. They don’t stop. They build their own. Every restriction is an invitation to innovate without you. Every ban is a blueprint for independence. Every chip you refuse to sell is a chip someone else learns how to make. You are not slowing competitors down. You are giving them the one thing they never had before. Motivation to never need you again. That is not a hypothetical. That is the pattern. Every single time. Countries that cannot count on American access stop waiting for it. They invest. They recruit. They accelerate. They make breakthroughs they never would have made if Washington had just shown up and competed. You don’t contain progress by withholding it. You pour jet fuel on the one outcome you were trying to prevent. Meanwhile the people making these decisions have never built anything. Not a chip. Not a model. Not a product. Not a company. Bureaucrats writing regulation for an industry they cannot even describe accurately. Committees moving at the speed of subcommittee. And the entire American AI future is being filtered through people whose greatest technological achievement is a shared Google Doc. And here is what no one in that room wants to admit. The United States is not competing against Chinese technology. It is competing against Chinese willingness to show up. While Congress debates which chips to block, Beijing is already on a plane. Signing infrastructure deals across four continents. Not with better hardware. With available hardware. And available has beaten superior in every technology war ever fought. VHS over Betamax. Android over iOS globally. The best product never wins. The most adopted one does. Standards are not products. Standards are dependency. The kind that compounds for generations. Every country running American AI is locked into the American ecosystem permanently. Every country that isn’t belongs to somebody else. And every country America cut off is now building infrastructure designed to ensure it never has to ask again. Huang: “Your policy and what you imagined literally caused the United States to concede the second largest market in the world for no good reason at all.” That is not an opinion. That is the man building the infrastructure of the future telling Washington it is engineering its own irrelevance. The cruelest part is not that America could lose the AI race. It is that America could lose it while being absolutely certain it is winning. Because restriction feels like power. It feels like control. Like dominance. Like you are holding every card. But you are not holding anything. You are just not playing. And every day you sit there writing rules instead of shipping technology, someone else is filling the vacuum you created. History never remembers who built the best technology. Only whose technology the world was already running on when it mattered.
1:31

Jensen Huang just delivered the most important warning no one in Washington is ready to hear. Not about China. About what America is doing to itself. Huang: “We should always have the best technology here. We should always have the most technology here, and the first. But we should also try to compete and win around the world.” Washington heard that and locked onto China. Jensen wasn’t talking about China. He was talking about India. The Middle East. Africa. Southeast Asia. The next two billion people coming online. All of them about to build on somebody’s AI stack. The question was never whether they get the technology. The question is whose name is on it. Huang: “It requires some amount of nuance, some amount of maturity, instead of absolutes. The world is just not absolute.” Washington doesn’t do nuance. Washington does ban lists. Restriction is now the entire American AI strategy. Not deployment. Not adoption. Not global capture. Restriction. As if you win a technology race by refusing to run it. And nobody in Washington understands what happens when you cut somebody off. They don’t stop. They build their own. Every restriction is an invitation to innovate without you. Every ban is a blueprint for independence. Every chip you refuse to sell is a chip someone else learns how to make. You are not slowing competitors down. You are giving them the one thing they never had before. Motivation to never need you again. That is not a hypothetical. That is the pattern. Every single time. Countries that cannot count on American access stop waiting for it. They invest. They recruit. They accelerate. They make breakthroughs they never would have made if Washington had just shown up and competed. You don’t contain progress by withholding it. You pour jet fuel on the one outcome you were trying to prevent. Meanwhile the people making these decisions have never built anything. Not a chip. Not a model. Not a product. Not a company. Bureaucrats writing regulation for an industry they cannot even describe accurately. Committees moving at the speed of subcommittee. And the entire American AI future is being filtered through people whose greatest technological achievement is a shared Google Doc. And here is what no one in that room wants to admit. The United States is not competing against Chinese technology. It is competing against Chinese willingness to show up. While Congress debates which chips to block, Beijing is already on a plane. Signing infrastructure deals across four continents. Not with better hardware. With available hardware. And available has beaten superior in every technology war ever fought. VHS over Betamax. Android over iOS globally. The best product never wins. The most adopted one does. Standards are not products. Standards are dependency. The kind that compounds for generations. Every country running American AI is locked into the American ecosystem permanently. Every country that isn’t belongs to somebody else. And every country America cut off is now building infrastructure designed to ensure it never has to ask again. Huang: “Your policy and what you imagined literally caused the United States to concede the second largest market in the world for no good reason at all.” That is not an opinion. That is the man building the infrastructure of the future telling Washington it is engineering its own irrelevance. The cruelest part is not that America could lose the AI race. It is that America could lose it while being absolutely certain it is winning. Because restriction feels like power. It feels like control. Like dominance. Like you are holding every card. But you are not holding anything. You are just not playing. And every day you sit there writing rules instead of shipping technology, someone else is filling the vacuum you created. History never remembers who built the best technology. Only whose technology the world was already running on when it mattered.

Dustin

46,030 次观看 • 2 个月前

Elon Musk was asked what happens to people when the machines no longer need them. He didn’t soften it. Musk: “There will be fewer and fewer jobs that a robot cannot do better. These are not things I wish would happen. They probably will.” Sit with that second sentence. He is not celebrating. He is not selling a vision. He is telling you what he believes is inevitable and admitting he wishes it weren’t. That is not optimism. That is a confession. Most people are still arguing over whether this is real. Whether it’s their job or someone else’s. Whether the timeline is years away or decades. Musk isn’t arguing. He resolved it. And it bothers him. Musk: “I think ultimately we will have to have some kind of universal basic income. I don’t think we’re going to have a choice.” Not a political position. Not a utopian proposal. A concession. We are building something so capable that human labor stops being a required input to the economy. The machine does not need rest. It does not need a salary. It does not call in sick. It does not ask for a raise. And it improves every single month. The jobs that feel safe right now are not safe because they are irreplaceable. They feel safe because the technology hasn’t fully arrived yet. It’s arriving. Musk: “How do people then have meaning? If there’s not a need for your labor, what’s the meaning? Do you feel useless?” He said that is the harder problem. Not the economics. Not the policy. Not how you fund UBI or make it hold. The harder problem is what happens to a person who built their entire identity around being needed. That is most people. You were trained from childhood to believe your value is what you produce. That your worth is what you earn. That rest is something you survive the week to reach, not something you deserve simply by existing. When the machine removes the need for your labor, that belief does not update. It breaks. The people least prepared for that moment are the ones who worked the hardest. The ones who took the most pride in being indispensable. The ones who made work the whole answer. Losing the job is survivable. Losing the reason to get up is not. That is what Musk is actually asking. Not how do we pay people. How do we build a world where people still feel like they matter when the economy no longer needs them. Nobody in power is seriously working on that answer. The machine didn’t wait.
1:16

Elon Musk was asked what happens to people when the machines no longer need them. He didn’t soften it. Musk: “There will be fewer and fewer jobs that a robot cannot do better. These are not things I wish would happen. They probably will.” Sit with that second sentence. He is not celebrating. He is not selling a vision. He is telling you what he believes is inevitable and admitting he wishes it weren’t. That is not optimism. That is a confession. Most people are still arguing over whether this is real. Whether it’s their job or someone else’s. Whether the timeline is years away or decades. Musk isn’t arguing. He resolved it. And it bothers him. Musk: “I think ultimately we will have to have some kind of universal basic income. I don’t think we’re going to have a choice.” Not a political position. Not a utopian proposal. A concession. We are building something so capable that human labor stops being a required input to the economy. The machine does not need rest. It does not need a salary. It does not call in sick. It does not ask for a raise. And it improves every single month. The jobs that feel safe right now are not safe because they are irreplaceable. They feel safe because the technology hasn’t fully arrived yet. It’s arriving. Musk: “How do people then have meaning? If there’s not a need for your labor, what’s the meaning? Do you feel useless?” He said that is the harder problem. Not the economics. Not the policy. Not how you fund UBI or make it hold. The harder problem is what happens to a person who built their entire identity around being needed. That is most people. You were trained from childhood to believe your value is what you produce. That your worth is what you earn. That rest is something you survive the week to reach, not something you deserve simply by existing. When the machine removes the need for your labor, that belief does not update. It breaks. The people least prepared for that moment are the ones who worked the hardest. The ones who took the most pride in being indispensable. The ones who made work the whole answer. Losing the job is survivable. Losing the reason to get up is not. That is what Musk is actually asking. Not how do we pay people. How do we build a world where people still feel like they matter when the economy no longer needs them. Nobody in power is seriously working on that answer. The machine didn’t wait.

Dustin

247,028 次观看 • 3 个月前

Elon Musk just told you the job is dying. Most people heard a prediction. A few heard a prison door opening. Musk: “In less than 20 years, working at all will be optional.” That is not a policy suggestion. That is a countdown. For three hundred years, the human blueprint has been identical. You are born. You move to the city. You rent a box near the office. You trade your body and your hours for the right to exist. You do this until you are old. Then you stop. Then you die. The entire model runs on one assumption. That human labor is the only engine. AI and robotics delete that assumption. When the machine handles production at a scale no human crew can match, the forced migration to the city evaporates. The commute evaporates. The cubicle evaporates. The alarm clock that owns your nervous system for forty years evaporates. Musk: “I think it won’t be the case that you have to be in a city for a job.” The city was never a choice. It was a requirement disguised as ambition. You moved to the noise and the concrete and the $4,000 rent because the paycheck lived there. Remove the paycheck from the equation and the geography changes overnight. You can live in the mountains. On the coast. In the silence of a town most people have never heard of. You can wake up to nothing but trees and cold air and the complete absence of anyone else’s schedule. That is not a fantasy. That is the math resolving. But here is where most people break. They hear “work is optional” and they see emptiness. A species with nothing to do. Billions of people staring at screens until their minds dissolve. That fear tells you everything about what the system has already done to us. We confused labor with purpose. The grind with meaning. The paycheck with proof that we matter. Musk: “In the same way that you could grow your own vegetables in your garden.” The analogy is precise. You do not grow tomatoes because the economy demands it. You grow them because something in you wants to build a thing with your hands and watch it come alive. That instinct does not disappear when the job does. It gets unleashed. The artist who spent twenty years doing accounting finally paints. The engineer who always wanted to build something of her own finally builds it. The kid in a small town who could never afford to take the risk finally takes it. Work does not vanish. Forced work vanishes. What replaces it is creation without a gun to your head. This is the part that keeps me up at night. We are standing at the edge of the largest liberation in human history. And the loudest voices in the room are begging to stay in the cell. They want the commute. They want the boss. They want the structure that tells them when to eat and when to sleep and when they are allowed to think about their own life. Because freedom without a template is terrifying. The next twenty years will not test our technology. The technology is already ahead of schedule. They will test whether the species can handle what it has been asking for since the beginning of civilization. Time. Space. Silence. And the unbearable weight of choosing what your life actually means when no one is forcing the answer. That is not a prediction. That is the final exam. And nobody is ready.
1:46

Elon Musk just told you the job is dying. Most people heard a prediction. A few heard a prison door opening. Musk: “In less than 20 years, working at all will be optional.” That is not a policy suggestion. That is a countdown. For three hundred years, the human blueprint has been identical. You are born. You move to the city. You rent a box near the office. You trade your body and your hours for the right to exist. You do this until you are old. Then you stop. Then you die. The entire model runs on one assumption. That human labor is the only engine. AI and robotics delete that assumption. When the machine handles production at a scale no human crew can match, the forced migration to the city evaporates. The commute evaporates. The cubicle evaporates. The alarm clock that owns your nervous system for forty years evaporates. Musk: “I think it won’t be the case that you have to be in a city for a job.” The city was never a choice. It was a requirement disguised as ambition. You moved to the noise and the concrete and the $4,000 rent because the paycheck lived there. Remove the paycheck from the equation and the geography changes overnight. You can live in the mountains. On the coast. In the silence of a town most people have never heard of. You can wake up to nothing but trees and cold air and the complete absence of anyone else’s schedule. That is not a fantasy. That is the math resolving. But here is where most people break. They hear “work is optional” and they see emptiness. A species with nothing to do. Billions of people staring at screens until their minds dissolve. That fear tells you everything about what the system has already done to us. We confused labor with purpose. The grind with meaning. The paycheck with proof that we matter. Musk: “In the same way that you could grow your own vegetables in your garden.” The analogy is precise. You do not grow tomatoes because the economy demands it. You grow them because something in you wants to build a thing with your hands and watch it come alive. That instinct does not disappear when the job does. It gets unleashed. The artist who spent twenty years doing accounting finally paints. The engineer who always wanted to build something of her own finally builds it. The kid in a small town who could never afford to take the risk finally takes it. Work does not vanish. Forced work vanishes. What replaces it is creation without a gun to your head. This is the part that keeps me up at night. We are standing at the edge of the largest liberation in human history. And the loudest voices in the room are begging to stay in the cell. They want the commute. They want the boss. They want the structure that tells them when to eat and when to sleep and when they are allowed to think about their own life. Because freedom without a template is terrifying. The next twenty years will not test our technology. The technology is already ahead of schedule. They will test whether the species can handle what it has been asking for since the beginning of civilization. Time. Space. Silence. And the unbearable weight of choosing what your life actually means when no one is forcing the answer. That is not a prediction. That is the final exam. And nobody is ready.

Dustin

111,613 次观看 • 3 个月前

Jensen to AI Leaders: “We have to be far more thoughtful” when communicating to the public Jensen Huang: “(AI) is not a biological being. It is not alien. It is not conscious. It is computer software.” “We say things like, ‘We don't understand it at all.’ It is not true. We understand a lot of things about this technology.” Chamath: “If you were in the seat in the boardroom of Anthropic over that whole scuttlebutt with the Department of War, what do you think you would've told Dario and that team to do, maybe, differently to try to change some of this outcome and some of this perception?” Jensen: “The first thing that I would say about Anthropic is, first of all, the technology is incredible. We are a large consumer of Anthropic technology.” “The desire to warn people about the capability of the technology is also 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.” “I think that it is fine to predict the future, but we need to be a little bit more circumspect. We need to have a little bit more humility, that, in fact, we can't completely predict the future.” “And to say things that are quite extreme, quite catastrophic, that there's no evidence of it happening, could be more damaging than people think.” “And of course we are technology leaders.” “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.” “And I think 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.”
1:27

Jensen to AI Leaders: “We have to be far more thoughtful” when communicating to the public Jensen Huang: “(AI) is not a biological being. It is not alien. It is not conscious. It is computer software.” “We say things like, ‘We don't understand it at all.’ It is not true. We understand a lot of things about this technology.” Chamath: “If you were in the seat in the boardroom of Anthropic over that whole scuttlebutt with the Department of War, what do you think you would've told Dario and that team to do, maybe, differently to try to change some of this outcome and some of this perception?” Jensen: “The first thing that I would say about Anthropic is, first of all, the technology is incredible. We are a large consumer of Anthropic technology.” “The desire to warn people about the capability of the technology is also 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.” “I think that it is fine to predict the future, but we need to be a little bit more circumspect. We need to have a little bit more humility, that, in fact, we can't completely predict the future.” “And to say things that are quite extreme, quite catastrophic, that there's no evidence of it happening, could be more damaging than people think.” “And of course we are technology leaders.” “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.” “And I think 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.”

The All-In Podcast

57,581 次观看 • 3 个月前

A reporter told Jensen Huang that his Uber driver wished he had just gone back to the farm instead of facing AI. Jensen flipped the entire fear in one move. The driver was genuinely scared. He looked at AI and saw the end of his work. Jensen did not argue with the fear. He pointed at where the man was sitting. That Uber job did not exist a generation ago. It only exists because of the last technology wave. Mobile. Cloud. The internet. The data centers running the routing and the matching in real time. The science behind a single Uber ride is enormous. None of it was possible before the revolution that came before this one. So the man driving for Uber, worried the next wave will erase him, is living inside a job the previous wave created. That is the whole reframe. The thing he is afraid of is the same kind of force that gave him the work in the first place. Then Jensen went further. The next wave creates new opportunity too. You cannot name it yet. Nobody could name Uber before the internet existed either. He has watched this happen his whole career. Personal computer. Internet. iPhone. Every time, people thought it would leave them behind. It changed everything. It left almost no one behind. The farm was not the safe choice. It was just the one he could already see. (Watch the full interview on YouTube at Associated Press)
1:41

A reporter told Jensen Huang that his Uber driver wished he had just gone back to the farm instead of facing AI. Jensen flipped the entire fear in one move. The driver was genuinely scared. He looked at AI and saw the end of his work. Jensen did not argue with the fear. He pointed at where the man was sitting. That Uber job did not exist a generation ago. It only exists because of the last technology wave. Mobile. Cloud. The internet. The data centers running the routing and the matching in real time. The science behind a single Uber ride is enormous. None of it was possible before the revolution that came before this one. So the man driving for Uber, worried the next wave will erase him, is living inside a job the previous wave created. That is the whole reframe. The thing he is afraid of is the same kind of force that gave him the work in the first place. Then Jensen went further. The next wave creates new opportunity too. You cannot name it yet. Nobody could name Uber before the internet existed either. He has watched this happen his whole career. Personal computer. Internet. iPhone. Every time, people thought it would leave them behind. It changed everything. It left almost no one behind. The farm was not the safe choice. It was just the one he could already see. (Watch the full interview on YouTube at Associated Press)

Ihtesham Ali

62,810 次观看 • 27 天前