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A former Goldman Sachs executive just said something on camera that should terrify every lawyer, doctor, and analyst on the planet. His name is Raoul Pal and he used to move billions on Wall Street. He was asked one question: "How disruptive will AI be?" He said it is... the single greatest innovation in human history. Greater than the internet or the electricity. The only thing he compared it to was the splitting of the atom. But here is the part nobody is ready for. He said knowledge is now worth zero. Think about that for a second. Why do lawyers charge $800 an hour? Scarcity of knowledge. Why do consultants bill Fortune 500 companies millions? Scarcity of knowledge. Why did your parents tell you to get a degree? Scarcity of knowledge. AI just destroyed that entire model. A teenager with ChatGPT can now draft legal contracts, build financial models, write code and analyze medical scans. No degree, decade of experience and no six figure student debt. And the numbers already prove it. Employment for workers under 25 in AI-exposed jobs has dropped 13%. Wall Street banks are planning to cut 200,000 jobs. 30% of U.S. companies have already replaced workers with AI. 18 million entry level American jobs could disappear entirely. But here is the part that should keep you up at night. The junior roles where people learn, make mistakes, and develop real judgment are being automated first. Which means the experience that AI cannot replace is the exact experience young workers can no longer get. Pal says humanity now faces a binary choice. Merge with the machines or reject them. There is no middle ground and this is not about robots in factories. This is about the collapse of the entire knowledge economy.show more

Milk Road AI

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414,422 次观看 • 5 个月前 •via X (Twitter)

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AI is the single greatest innovation in human history. The only thing that comes close is splitting the atom. Every economic system we've ever built runs on the scarcity of knowledge. Lawyers, doctors, experts of every kind… they get paid because what they know is scarce. With AI, knowledge is now infinite. That breaks everything. Our entire economic model, as well as our understanding of what humans do, and what we're for. This is the Exponential Age. I've been mapping this out for years across Real Vision and GMI, piecing it together as it unfolded. Today I wrote a full breakdown that pulls it all into one place. Link below.

AI is the single greatest innovation in human history. The only thing that comes close is splitting the atom. Every economic system we've ever built runs on the scarcity of knowledge. Lawyers, doctors, experts of every kind… they get paid because what they know is scarce. With AI, knowledge is now infinite. That breaks everything. Our entire economic model, as well as our understanding of what humans do, and what we're for. This is the Exponential Age. I've been mapping this out for years across Real Vision and GMI, piecing it together as it unfolded. Today I wrote a full breakdown that pulls it all into one place. Link below.

Raoul Pal

173,416 次观看 • 1 个月前

Nvidia CEO just exposed why companies lose billions on AI while he profits Jensen Huang sat with Channel News Asia and went straight at it. companies cut tens of thousands of workers and blamed AI he says that is just an excuse here is what he actually said: > CEOs blaming AI for layoffs are just lazy > half are saving billions and hiding behind a buzzword > AI was not even useful 6 months ago > the real story is complex and nobody tells it and here is the wild part Nvidia just crossed $4 trillion in market cap off this same AI boom so the guy earning more on AI than anyone alive is telling every CEO to stop using it as a scapegoat Save this, it is the cleanest counter to AI doom right now

Nvidia CEO just exposed why companies lose billions on AI while he profits Jensen Huang sat with Channel News Asia and went straight at it. companies cut tens of thousands of workers and blamed AI he says that is just an excuse here is what he actually said: > CEOs blaming AI for layoffs are just lazy > half are saving billions and hiding behind a buzzword > AI was not even useful 6 months ago > the real story is complex and nobody tells it and here is the wild part Nvidia just crossed $4 trillion in market cap off this same AI boom so the guy earning more on AI than anyone alive is telling every CEO to stop using it as a scapegoat Save this, it is the cleanest counter to AI doom right now

winkle.

12,693 次观看 • 2 个月前

Satya Nadella was asked whether most people will earn more or less after AI. He did not dodge it. His answer was two words that will either reassure you completely or keep you up at night: glue work. He has been thinking about this carefully. His framing: wages have never been about which tasks you perform. They have always been about what society decides to value. The last 250 years rewarded the accumulation of expertise. AI creates abundance of expertise. So the question becomes what humans build next that cannot be trained away. His answer is glue work. The connective tissue between automated systems. The judgment calls that sit outside any loop an agent can close. The work that holds everything together that nobody has written a spec for yet. He was not dismissing the disruption. He said plainly that real displacement is coming and the workflow will change. But his argument is that humans have always migrated toward the layer above whatever just got automated. Typists became knowledge workers. Knowledge workers become something else. The problem with his answer is the one nobody in that room pushed on. He could name the pattern. He could not name the jobs. Glue work is either the most honest answer a tech CEO has given about the future of employment. Or it is the most elegant way to say I do not know dressed up as reassurance. (Watch this on YouTube at

Satya Nadella was asked whether most people will earn more or less after AI. He did not dodge it. His answer was two words that will either reassure you completely or keep you up at night: glue work. He has been thinking about this carefully. His framing: wages have never been about which tasks you perform. They have always been about what society decides to value. The last 250 years rewarded the accumulation of expertise. AI creates abundance of expertise. So the question becomes what humans build next that cannot be trained away. His answer is glue work. The connective tissue between automated systems. The judgment calls that sit outside any loop an agent can close. The work that holds everything together that nobody has written a spec for yet. He was not dismissing the disruption. He said plainly that real displacement is coming and the workflow will change. But his argument is that humans have always migrated toward the layer above whatever just got automated. Typists became knowledge workers. Knowledge workers become something else. The problem with his answer is the one nobody in that room pushed on. He could name the pattern. He could not name the jobs. Glue work is either the most honest answer a tech CEO has given about the future of employment. Or it is the most elegant way to say I do not know dressed up as reassurance. (Watch this on YouTube at

Ihtesham Ali

74,472 次观看 • 2 个月前

The CEO of OpenAI said something that should terrify every coder alive. Sam Altman was asked: "What is the most important skill people should learn in the age of AI?" His answer was not what anyone expected. He said learning to program, the thing every career advisor has drilled into an entire generation is "no longer obviously the right thing." So what does he think actually matters now? Four things and all of them are soft skills. And none of them taught in any computer science program on Earth. Become a high agency, act without being told. Make things happen on your own. Get good at generating ideas because when AI can execute anything, the person who knows what to build wins. Be very resilient, things will break constantly in a world moving at this speed. Be very adaptable, the world is rewriting itself every few months. Keep up or get left behind. But here is the part that changes everything. Altman says these skills are not just personality traits you are born with. They are learnable and deeply learnable. He watched people completely transform in three month bootcamps when he was a startup investor. That was, in his own words, "a big update" to how he sees the world. Now think about what this really means. The CEO of a company worth hundreds of billions is telling the world, the moat is no longer what you know. It is how you think and how you move and the old playbook is dead. The people who understand this right now have a massive head start. Everyone else is studying for a test that no longer exists.

The CEO of OpenAI said something that should terrify every coder alive. Sam Altman was asked: "What is the most important skill people should learn in the age of AI?" His answer was not what anyone expected. He said learning to program, the thing every career advisor has drilled into an entire generation is "no longer obviously the right thing." So what does he think actually matters now? Four things and all of them are soft skills. And none of them taught in any computer science program on Earth. Become a high agency, act without being told. Make things happen on your own. Get good at generating ideas because when AI can execute anything, the person who knows what to build wins. Be very resilient, things will break constantly in a world moving at this speed. Be very adaptable, the world is rewriting itself every few months. Keep up or get left behind. But here is the part that changes everything. Altman says these skills are not just personality traits you are born with. They are learnable and deeply learnable. He watched people completely transform in three month bootcamps when he was a startup investor. That was, in his own words, "a big update" to how he sees the world. Now think about what this really means. The CEO of a company worth hundreds of billions is telling the world, the moat is no longer what you know. It is how you think and how you move and the old playbook is dead. The people who understand this right now have a massive head start. Everyone else is studying for a test that no longer exists.

StockMarket.News

168,255 次观看 • 5 个月前

The man who won the Nobel Prize just told the world that AI is not the energy crisis, it is the cure for it. Everyone has been screaming about how much electricity AI consumes, the data centers, the training runs, the billions of queries every single day. Hassabis just said AI will extract 30 to 40 percent more efficiency out of national power grids, grids that, right now, operate at only 30 percent of their total capacity according to Stanford researchers. That means the grids we already built are massively underused, and AI is the key to unlocking what is already there. But that is the smallest part of what he is saying. He is saying AI will crack nuclear fusion, the energy source that has been 30 years away for the last 60 years and DeepMind is already working with Commonwealth Fusion in the US to help AI contain plasma inside fusion reactors. His personal mission is to use AI to discover a room-temperature superconductor, a material that would allow electricity to travel with zero loss, something physics has never been able to deliver. The implications of that alone would reshape the entire global economy overnight. He is also saying AI will design next-generation batteries and build the best climate modeling systems humanity has ever had, using them to figure out exactly where the planet is breaking down. Think about what this means, the thing everyone is blaming for the energy crisis is the same thing being bet on to end it forever.

The man who won the Nobel Prize just told the world that AI is not the energy crisis, it is the cure for it. Everyone has been screaming about how much electricity AI consumes, the data centers, the training runs, the billions of queries every single day. Hassabis just said AI will extract 30 to 40 percent more efficiency out of national power grids, grids that, right now, operate at only 30 percent of their total capacity according to Stanford researchers. That means the grids we already built are massively underused, and AI is the key to unlocking what is already there. But that is the smallest part of what he is saying. He is saying AI will crack nuclear fusion, the energy source that has been 30 years away for the last 60 years and DeepMind is already working with Commonwealth Fusion in the US to help AI contain plasma inside fusion reactors. His personal mission is to use AI to discover a room-temperature superconductor, a material that would allow electricity to travel with zero loss, something physics has never been able to deliver. The implications of that alone would reshape the entire global economy overnight. He is also saying AI will design next-generation batteries and build the best climate modeling systems humanity has ever had, using them to figure out exactly where the planet is breaking down. Think about what this means, the thing everyone is blaming for the energy crisis is the same thing being bet on to end it forever.

Milk Road AI

41,417 次观看 • 4 个月前

Sam Altman told the world exactly what skills will matter when AI takes over 30 to 40 percent of the global economy. He was asked what his own kids should do to survive it. His answer was surprisingly human. He said the single most valuable thing anyone can build right now is the meta-skill of learning how to learn. Not a degree or a certification but the raw ability to adapt when everything around you changes. He also said learning to understand what other people actually want and building useful things for them will be more valuable than almost any technical knowledge. That skill has never been automated and is not close to being automated. He said human creativity and the desire to express it are, in his words, limitless. Every major technological revolution increased the demand for creative, curious, and socially intelligent people, not decreased it. The Industrial Revolution is the clearest parallel. Machines replaced physical labor and people were terrified. The next generation took those machines and built industries, art forms, and institutions nobody had conceived of before. The people who thrived were not the ones who competed with the machines. They were the ones who learned to direct them toward something new. That dynamic is already playing out right now with AI. The practical implication is this, depth in a single rigid skill is becoming less valuable. The ability to move across domains, pick up new tools quickly, and apply judgment in ambiguous situations is becoming more valuable. Altman also pointed to something most career advice ignores entirely, learning how to interact with the world, build relationships, and earn trust from other people. Those are things AI can simulate but cannot replace. The honest opportunity in this moment is not to outrun AI. It is to focus on the things that make you irreducibly human. Curiosity, judgment, empathy and the ability to ask the right question before anyone knows what the right question is. The people who will matter most in an AI-driven economy are not necessarily the ones who understand the technology deepest. They are the ones who can figure out what the technology should actually be used for. Altman has spent his career betting on human potential in the face of technological disruption. Based on every historical precedent, that is still the right bet to make.

Sam Altman told the world exactly what skills will matter when AI takes over 30 to 40 percent of the global economy. He was asked what his own kids should do to survive it. His answer was surprisingly human. He said the single most valuable thing anyone can build right now is the meta-skill of learning how to learn. Not a degree or a certification but the raw ability to adapt when everything around you changes. He also said learning to understand what other people actually want and building useful things for them will be more valuable than almost any technical knowledge. That skill has never been automated and is not close to being automated. He said human creativity and the desire to express it are, in his words, limitless. Every major technological revolution increased the demand for creative, curious, and socially intelligent people, not decreased it. The Industrial Revolution is the clearest parallel. Machines replaced physical labor and people were terrified. The next generation took those machines and built industries, art forms, and institutions nobody had conceived of before. The people who thrived were not the ones who competed with the machines. They were the ones who learned to direct them toward something new. That dynamic is already playing out right now with AI. The practical implication is this, depth in a single rigid skill is becoming less valuable. The ability to move across domains, pick up new tools quickly, and apply judgment in ambiguous situations is becoming more valuable. Altman also pointed to something most career advice ignores entirely, learning how to interact with the world, build relationships, and earn trust from other people. Those are things AI can simulate but cannot replace. The honest opportunity in this moment is not to outrun AI. It is to focus on the things that make you irreducibly human. Curiosity, judgment, empathy and the ability to ask the right question before anyone knows what the right question is. The people who will matter most in an AI-driven economy are not necessarily the ones who understand the technology deepest. They are the ones who can figure out what the technology should actually be used for. Altman has spent his career betting on human potential in the face of technological disruption. Based on every historical precedent, that is still the right bet to make.

StockMarket.News

376,873 次观看 • 5 个月前

Goldman Sachs just published the list of jobs AI will eliminate first. 300 million jobs globally. 25% of all US work hours. And that's not in 10 years, it's starting NOW. Highest risk of displacement according to Goldman: 1. Computer programmers 2. Accountants 3. Auditors 4. Legal assistants 5. Administrative assistants 6. Customer service reps 7. Telemarketers 8. Proofreaders 9. Copy editors 10. Credit analysts. 46% of all office and administrative tasks can be automated. 44% of legal work. 37% of architecture and engineering. 36% of science. 35% of business and finance. These aren't warehouse jobs. These aren't factory floor positions. These are the careers parents told their kids to pursue. "Go to college. Get a degree. Get a desk job. You'll be safe." Goldman Sachs just told you that desk is getting emptied. And the data is already showing up in real time: Tech employment as a share of the US economy has dropped below its long-term trend for the first time since records began. Marketing consulting, graphic design, office administration, and call centers are all seeing employment growth fall below trend. Younger workers are getting hit first and hardest. Goldman's lead economist said it directly: "The big story in 2026 in labor will be AI." But here's what the report doesn't mention: Goldman Sachs is one of the biggest investors in the companies BUILDING the AI that eliminates these jobs. They underwrote OpenAI's funding rounds. They're advising on the $700 billion in AI infrastructure spending this year. They profit from every merger, every capex deal, every stock offering tied to AI. The same bank telling you 300 million jobs are at risk is making billions helping the companies that will take them. And the corporate playbook is already locked in: Meta is firing 16,000 people. 20% of its entire workforce. While doubling AI spending to $135 billion. Stock went up 3% on the announcement. Block fired 40% of its staff. Stock surged 24%. Atlassian cut 10%. Same pattern. Over 61,000 AI-linked layoffs since November. 764 people per day losing their jobs in tech alone. Every single time a company announces mass layoffs and says "AI," the stock price goes up. Wall Street has created a system where firing humans is the most profitable announcement a CEO can make. Goldman's report says the jobs most PROTECTED from AI are air traffic controllers, chief executives, radiologists, pharmacists, and members of the clergy. Notice who's safe? The people at the top and the people praying. Everyone in the middle is exposed. The entry-level white-collar worker who spent four years and $200,000 on a degree is now competing against software that works 24/7, never takes vacation, never asks for a raise, and improves every single week. Goldman even admits younger workers in their 20s and 30s entering knowledge and content creation sectors will be "most affected." The generation that was told AI would make their lives better is the one getting displaced by it first. And it gets even WORSE: Goldman says if this displacement happens faster than their 10 year base case, the economic impact "could be much larger." Basically: if companies move fast, which they already are, the fallout will be worse than their projections. They're already moving fast. $700 billion in AI infrastructure this year. Mass layoffs at every major tech company. Stock prices rewarding every single one. The report is 50 pages of data telling you exactly what's coming. Most people won't read past the headline. But you just did.

Goldman Sachs just published the list of jobs AI will eliminate first. 300 million jobs globally. 25% of all US work hours. And that's not in 10 years, it's starting NOW. Highest risk of displacement according to Goldman: 1. Computer programmers 2. Accountants 3. Auditors 4. Legal assistants 5. Administrative assistants 6. Customer service reps 7. Telemarketers 8. Proofreaders 9. Copy editors 10. Credit analysts. 46% of all office and administrative tasks can be automated. 44% of legal work. 37% of architecture and engineering. 36% of science. 35% of business and finance. These aren't warehouse jobs. These aren't factory floor positions. These are the careers parents told their kids to pursue. "Go to college. Get a degree. Get a desk job. You'll be safe." Goldman Sachs just told you that desk is getting emptied. And the data is already showing up in real time: Tech employment as a share of the US economy has dropped below its long-term trend for the first time since records began. Marketing consulting, graphic design, office administration, and call centers are all seeing employment growth fall below trend. Younger workers are getting hit first and hardest. Goldman's lead economist said it directly: "The big story in 2026 in labor will be AI." But here's what the report doesn't mention: Goldman Sachs is one of the biggest investors in the companies BUILDING the AI that eliminates these jobs. They underwrote OpenAI's funding rounds. They're advising on the $700 billion in AI infrastructure spending this year. They profit from every merger, every capex deal, every stock offering tied to AI. The same bank telling you 300 million jobs are at risk is making billions helping the companies that will take them. And the corporate playbook is already locked in: Meta is firing 16,000 people. 20% of its entire workforce. While doubling AI spending to $135 billion. Stock went up 3% on the announcement. Block fired 40% of its staff. Stock surged 24%. Atlassian cut 10%. Same pattern. Over 61,000 AI-linked layoffs since November. 764 people per day losing their jobs in tech alone. Every single time a company announces mass layoffs and says "AI," the stock price goes up. Wall Street has created a system where firing humans is the most profitable announcement a CEO can make. Goldman's report says the jobs most PROTECTED from AI are air traffic controllers, chief executives, radiologists, pharmacists, and members of the clergy. Notice who's safe? The people at the top and the people praying. Everyone in the middle is exposed. The entry-level white-collar worker who spent four years and $200,000 on a degree is now competing against software that works 24/7, never takes vacation, never asks for a raise, and improves every single week. Goldman even admits younger workers in their 20s and 30s entering knowledge and content creation sectors will be "most affected." The generation that was told AI would make their lives better is the one getting displaced by it first. And it gets even WORSE: Goldman says if this displacement happens faster than their 10 year base case, the economic impact "could be much larger." Basically: if companies move fast, which they already are, the fallout will be worse than their projections. They're already moving fast. $700 billion in AI infrastructure this year. Mass layoffs at every major tech company. Stock prices rewarding every single one. The report is 50 pages of data telling you exactly what's coming. Most people won't read past the headline. But you just did.

Ricardo

235,712 次观看 • 5 个月前

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.

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

54,061 次观看 • 3 个月前

JD Vance just admitted the White House plan is to take ownership of every major AI company in America. Steven Bartlett brought up Bernie Sanders' proposal that workers should own 50% of the major AI companies. Vance's response: "The president by the way likes that idea too. He likes that idea." Trump's preferred mechanism, Vance said, is a sovereign wealth fund where the US government takes equity stakes in private AI companies. The Vice President literally just confirmed that an administration is planning the most radical economic policy proposed in modern American history. Partial nationalization of the MOST valuable private companies on earth. And the idea originally came from Bernie Sanders, who Vance said Trump agrees with on this point. This is not a small thing: The US has spent 80 years selling the world on the model where private companies stay private and the government stays off the cap table. The countries that did the opposite, with sovereign wealth funds owning slices of their biggest firms, are Norway, Saudi Arabia, China, and Singapore. And the Trump administration told you on a podcast it wants to do the same to Silicon Valley. But the reasoning Vance gave for it is where it gets really interesting... He said the historical analogy that scares him is the original Industrial Revolution. His own words: "Rich people got way richer. And that led to in Europe fascism and communism." He believes AI will not cause mass unemployment but mass inequality, and that mass inequality is what breaks societies. His fix is that workers need a seat at the bargaining table before the wealth gets created, not a redistribution check after. "I think labor unions are a very important model here." And the other thing about AI that scares him is surveillance. His exact phrase was that AI is "fundamentally a communist technology" because it lets governments and corporations watch and score people in ways NOTHING else can. He said he doesn't want a social credit system, doesn't want a tech CEO deciding whether you can buy a beer based on an algorithm nobody understands, and is afraid of exactly that outcome. So here is the full picture: The sitting Republican administration believes AI will make the rich dramatically richer, that this will radicalize the country the way the Industrial Revolution radicalized Europe, that the answer is government equity stakes plus stronger labor unions, and that the second-biggest threat is the surveillance state these companies are building. That is not a Republican worldview. That is not even a Democratic worldview. This is a worldview that has no political home in the United States right now. Most people are still arguing about whether ChatGPT will take their jobs. But the people with the actual power are already past that argument. They are quietly designing the framework for owning the companies that will. The craziest part is how casually Vance dropped it as a sidenote on a podcast millions will half-listen to in the background. If you have money in OpenAI, Anthropic, or anything like that, you should be watching the full thing yourself. What do you think?

JD Vance just admitted the White House plan is to take ownership of every major AI company in America. Steven Bartlett brought up Bernie Sanders' proposal that workers should own 50% of the major AI companies. Vance's response: "The president by the way likes that idea too. He likes that idea." Trump's preferred mechanism, Vance said, is a sovereign wealth fund where the US government takes equity stakes in private AI companies. The Vice President literally just confirmed that an administration is planning the most radical economic policy proposed in modern American history. Partial nationalization of the MOST valuable private companies on earth. And the idea originally came from Bernie Sanders, who Vance said Trump agrees with on this point. This is not a small thing: The US has spent 80 years selling the world on the model where private companies stay private and the government stays off the cap table. The countries that did the opposite, with sovereign wealth funds owning slices of their biggest firms, are Norway, Saudi Arabia, China, and Singapore. And the Trump administration told you on a podcast it wants to do the same to Silicon Valley. But the reasoning Vance gave for it is where it gets really interesting... He said the historical analogy that scares him is the original Industrial Revolution. His own words: "Rich people got way richer. And that led to in Europe fascism and communism." He believes AI will not cause mass unemployment but mass inequality, and that mass inequality is what breaks societies. His fix is that workers need a seat at the bargaining table before the wealth gets created, not a redistribution check after. "I think labor unions are a very important model here." And the other thing about AI that scares him is surveillance. His exact phrase was that AI is "fundamentally a communist technology" because it lets governments and corporations watch and score people in ways NOTHING else can. He said he doesn't want a social credit system, doesn't want a tech CEO deciding whether you can buy a beer based on an algorithm nobody understands, and is afraid of exactly that outcome. So here is the full picture: The sitting Republican administration believes AI will make the rich dramatically richer, that this will radicalize the country the way the Industrial Revolution radicalized Europe, that the answer is government equity stakes plus stronger labor unions, and that the second-biggest threat is the surveillance state these companies are building. That is not a Republican worldview. That is not even a Democratic worldview. This is a worldview that has no political home in the United States right now. Most people are still arguing about whether ChatGPT will take their jobs. But the people with the actual power are already past that argument. They are quietly designing the framework for owning the companies that will. The craziest part is how casually Vance dropped it as a sidenote on a podcast millions will half-listen to in the background. If you have money in OpenAI, Anthropic, or anything like that, you should be watching the full thing yourself. What do you think?

Ricardo

503,804 次观看 • 2 个月前

A guy who's built companies for 25 years just went on Diary of a CEO and said plumbers will earn more than lawyers within the next 2 years. Sounds insane. But the numbers actually back it up: Last week alone, $280 BILLION was wiped off the value of legal and data companies. Thomson Reuters crashed. LegalZoom got hammered. The entire knowledge economy felt the shockwave in real time. Why? Because AI just proved it can do what a $500/hour lawyer does for $20 a month. Daniel Priestley went on the show and explained how he recently had a legal case that was quoted at $60,000 by a law firm. Instead of paying, his team used Claude. The AI gave them a full coaching session on how to handle the case, mapped out multiple decision tree pathways, generated every document they needed, and even built a spreadsheet breaking down exactly what to say and what not to say in the negotiation. Total cost: $20 a month. They resolved the case without a lawyer. Now multiply that by every business in the world that's paying legal fees they no longer need to pay. The entire financial model of knowledge work is collapsing in real time. Meanwhile, ask yourself this: Can AI fix your toilet? Can it rewire your house? Lay your foundation? Replace your roof? It can't. And it won't be able to for decades. Here's where the supply and demand crisis gets ugly... Governments spent 20 years pushing every young person into university. Get a degree or you'll never get a job. So an entire generation that should've become plumbers, electricians, and builders went and got master's degrees in subjects nobody was hiring for. They came out with $60-80K in debt and ZERO marketable skills. That created a massive shortage of tradespeople. And now AI is about to flood the market with unemployed knowledge workers while the demand for people who work with their hands explodes. The math is simple: Too many lawyers, not enough plumbers. AI makes the lawyer surplus worse every single month. Priestley called this the most important economic shift of our LIFETIME. For 30 years, blue collar work has been devalued. Everyone wanted to sit behind a screen. White collar was the "smart" path. That era just ended. The pendulum is swinging back hard. And the people who positioned themselves in physical, hands-on work that AI cannot touch are about to be the highest earners in the economy. For anyone building a business right now, the lesson is clear: Stop chasing what's "prestigious." Chase what's SCARCE. AI can write your contracts, build your website, run your ads, and draft your emails. But it cannot show up to your client's office, shake their hand, and solve a physical problem. The winners of the next decade won't be the most technically skilled. They'll be the ones who bet on what machines can't do.

A guy who's built companies for 25 years just went on Diary of a CEO and said plumbers will earn more than lawyers within the next 2 years. Sounds insane. But the numbers actually back it up: Last week alone, $280 BILLION was wiped off the value of legal and data companies. Thomson Reuters crashed. LegalZoom got hammered. The entire knowledge economy felt the shockwave in real time. Why? Because AI just proved it can do what a $500/hour lawyer does for $20 a month. Daniel Priestley went on the show and explained how he recently had a legal case that was quoted at $60,000 by a law firm. Instead of paying, his team used Claude. The AI gave them a full coaching session on how to handle the case, mapped out multiple decision tree pathways, generated every document they needed, and even built a spreadsheet breaking down exactly what to say and what not to say in the negotiation. Total cost: $20 a month. They resolved the case without a lawyer. Now multiply that by every business in the world that's paying legal fees they no longer need to pay. The entire financial model of knowledge work is collapsing in real time. Meanwhile, ask yourself this: Can AI fix your toilet? Can it rewire your house? Lay your foundation? Replace your roof? It can't. And it won't be able to for decades. Here's where the supply and demand crisis gets ugly... Governments spent 20 years pushing every young person into university. Get a degree or you'll never get a job. So an entire generation that should've become plumbers, electricians, and builders went and got master's degrees in subjects nobody was hiring for. They came out with $60-80K in debt and ZERO marketable skills. That created a massive shortage of tradespeople. And now AI is about to flood the market with unemployed knowledge workers while the demand for people who work with their hands explodes. The math is simple: Too many lawyers, not enough plumbers. AI makes the lawyer surplus worse every single month. Priestley called this the most important economic shift of our LIFETIME. For 30 years, blue collar work has been devalued. Everyone wanted to sit behind a screen. White collar was the "smart" path. That era just ended. The pendulum is swinging back hard. And the people who positioned themselves in physical, hands-on work that AI cannot touch are about to be the highest earners in the economy. For anyone building a business right now, the lesson is clear: Stop chasing what's "prestigious." Chase what's SCARCE. AI can write your contracts, build your website, run your ads, and draft your emails. But it cannot show up to your client's office, shake their hand, and solve a physical problem. The winners of the next decade won't be the most technically skilled. They'll be the ones who bet on what machines can't do.

Ricardo

846,347 次观看 • 5 个月前

There is a prediction circulating in AI circles right now that most people are not taking seriously enough and the data says they should be. Within the next year or two, if you work remotely, your company will be able to create a digital twin of you. A model that speaks like you, writes like you, has learned from everything you have done right and wrong, your tone, your judgment calls, your workflow. It will be you on the other side of Zoom or Slack and no one could tell the difference. The harder question, the one nobody wants to sit with is whether it will actually be worse at your job than you are. Probably not. It will never sleep and it will always learn from its mistakes and it will cost 10 to 100 times less than you do and is tax deductible on top of that. The data is not speculative at this point. Anthropic's own labor market report pulled from millions of real Claude conversations found that AI can already theoretically automate 94% of tasks in computer and math occupations, 60-80% across law, office work, and tech. Actual usage is still at 10-20% of that potential which means we are in the early innings of the gap closing. Companies already know what direction this is headed. One in five companies replaced specific roles with AI in 2025 and by end of 2026, 30-37% plan to do so. Amazon cut 14,000 corporate jobs citing AI, Klarna replaced 700 customer service workers, Duolingo offboarded 10% of its contractor workforce. Anthropic's own first internal role eliminated was the engineer who reviewed Claude Code releases before they went to production. The argument from the clip is that the human in the loop is approaching the point of being a liability, the dumbest person on a team that is otherwise AI. That inflection point, by this estimate, is somewhere in the next 900 days.

There is a prediction circulating in AI circles right now that most people are not taking seriously enough and the data says they should be. Within the next year or two, if you work remotely, your company will be able to create a digital twin of you. A model that speaks like you, writes like you, has learned from everything you have done right and wrong, your tone, your judgment calls, your workflow. It will be you on the other side of Zoom or Slack and no one could tell the difference. The harder question, the one nobody wants to sit with is whether it will actually be worse at your job than you are. Probably not. It will never sleep and it will always learn from its mistakes and it will cost 10 to 100 times less than you do and is tax deductible on top of that. The data is not speculative at this point. Anthropic's own labor market report pulled from millions of real Claude conversations found that AI can already theoretically automate 94% of tasks in computer and math occupations, 60-80% across law, office work, and tech. Actual usage is still at 10-20% of that potential which means we are in the early innings of the gap closing. Companies already know what direction this is headed. One in five companies replaced specific roles with AI in 2025 and by end of 2026, 30-37% plan to do so. Amazon cut 14,000 corporate jobs citing AI, Klarna replaced 700 customer service workers, Duolingo offboarded 10% of its contractor workforce. Anthropic's own first internal role eliminated was the engineer who reviewed Claude Code releases before they went to production. The argument from the clip is that the human in the loop is approaching the point of being a liability, the dumbest person on a team that is otherwise AI. That inflection point, by this estimate, is somewhere in the next 900 days.

Milk Road AI

17,600 次观看 • 4 个月前

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

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

Dustin

25,617 次观看 • 5 个月前

🚨 Yoshua Bengio Just Dropped a Quiet Bombshell About Jobs and AI 🚨 One of the world’s most respected AI researchers, Yoshua Bengio, says something that should make everyone pause: We are already seeing the first cracks. Not everywhere. Not in the headline numbers. But in specific niches, especially among younger workers, AI is already taking over real tasks. That’s the canary in the coal mine. And Bengio is very clear about where this is going. •If we don’t hit a fundamental scientific wall, AI will keep getting smarter •Over time, it will be capable of doing most cognitive work humans do today •Companies will adopt it, slowly or fast, because the incentives are overwhelming The key distinction? Keyboard jobs go first. Physical jobs lag behind. Not because they’re safer forever, but because robots lack data. There is no “Internet of movement” yet. But once robots spread, they generate that data themselves. The bottleneck disappears. This isn’t a sudden crash. It’s a quiet, uneven shift. And by the time it’s obvious to everyone, it will already be far too late to ignore.

🚨 Yoshua Bengio Just Dropped a Quiet Bombshell About Jobs and AI 🚨 One of the world’s most respected AI researchers, Yoshua Bengio, says something that should make everyone pause: We are already seeing the first cracks. Not everywhere. Not in the headline numbers. But in specific niches, especially among younger workers, AI is already taking over real tasks. That’s the canary in the coal mine. And Bengio is very clear about where this is going. •If we don’t hit a fundamental scientific wall, AI will keep getting smarter •Over time, it will be capable of doing most cognitive work humans do today •Companies will adopt it, slowly or fast, because the incentives are overwhelming The key distinction? Keyboard jobs go first. Physical jobs lag behind. Not because they’re safer forever, but because robots lack data. There is no “Internet of movement” yet. But once robots spread, they generate that data themselves. The bottleneck disappears. This isn’t a sudden crash. It’s a quiet, uneven shift. And by the time it’s obvious to everyone, it will already be far too late to ignore.

VraserX e/acc

26,690 次观看 • 7 个月前

Every serious analyst has called Elon Musk's Terafab unrealistic. The CEO of the company that supplies the machines to build it just said it is an upside opportunity and compared it to the largest chip buildouts in history. That is not a small statement. ASML makes the lithography machines that every advanced semiconductor fab on earth depends on. You cannot print a chip without them. There is no workaround. There is no alternative supplier. If the Terafab gets built, every single machine inside it comes from one company. The interviewer asked the ASML CEO directly about one terawatt of compute power. He did not laugh. He did not hedge. He compared it to the massive DRAM megaprojects in Korea and said new projects at that scale are exactly the kind of upside ASML is positioned for. His exact words: "New projects are opportunity." Then he said something that most people missed. He said ASML is already watching the Terafab very carefully. Tracking when things will happen. At what speed. That is not how you talk about a fantasy project. The mainstream take on the Terafab is that Musk is dreaming. The CEO of the most critical company in the entire chip supply chain just said he is preparing for it. Those are not the same position. (Watch the full 11 minutes Interview at Bloomberg TV on YouTube)

Every serious analyst has called Elon Musk's Terafab unrealistic. The CEO of the company that supplies the machines to build it just said it is an upside opportunity and compared it to the largest chip buildouts in history. That is not a small statement. ASML makes the lithography machines that every advanced semiconductor fab on earth depends on. You cannot print a chip without them. There is no workaround. There is no alternative supplier. If the Terafab gets built, every single machine inside it comes from one company. The interviewer asked the ASML CEO directly about one terawatt of compute power. He did not laugh. He did not hedge. He compared it to the massive DRAM megaprojects in Korea and said new projects at that scale are exactly the kind of upside ASML is positioned for. His exact words: "New projects are opportunity." Then he said something that most people missed. He said ASML is already watching the Terafab very carefully. Tracking when things will happen. At what speed. That is not how you talk about a fantasy project. The mainstream take on the Terafab is that Musk is dreaming. The CEO of the most critical company in the entire chip supply chain just said he is preparing for it. Those are not the same position. (Watch the full 11 minutes Interview at Bloomberg TV on YouTube)

Ihtesham Ali

67,385 次观看 • 2 个月前

Mark Zuckerberg, co-founder and CEO of Meta: "In the next 12 to 18 months... most of the code that's going toward these efforts is written by AI. And I don't mean autocomplete." He said it with a shrug. No warning, no hedge. The man pouring roughly $70 billion a year into AI infrastructure says AI already "writes higher quality code than the average very good person on the team," and will write the majority of Meta's AI research code within a year and a half. That is the part that should unsettle you more than any doomer. Hinton is scared. Bostrom is scared. Zuckerberg is not scared at all, and he is telling you the exact same thing they are: the replacement is not someday. It is a hiring cycle away. He just happens to be cheerful about it. The scientists warn you it is coming. The builders are quietly shipping it.

Mark Zuckerberg, co-founder and CEO of Meta: "In the next 12 to 18 months... most of the code that's going toward these efforts is written by AI. And I don't mean autocomplete." He said it with a shrug. No warning, no hedge. The man pouring roughly $70 billion a year into AI infrastructure says AI already "writes higher quality code than the average very good person on the team," and will write the majority of Meta's AI research code within a year and a half. That is the part that should unsettle you more than any doomer. Hinton is scared. Bostrom is scared. Zuckerberg is not scared at all, and he is telling you the exact same thing they are: the replacement is not someday. It is a hiring cycle away. He just happens to be cheerful about it. The scientists warn you it is coming. The builders are quietly shipping it.

Casper

328,755 次观看 • 1 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?

Ricardo

1,286,342 次观看 • 2 个月前

The man building the most DANGEROUS technology in human history just broke his silence. And what he said should terrify every person reading this. Dario Amodei, the man who built Claude. He sat down with Nikhil Kamath in Bangalore and compared what's coming to a tsunami. He said we are "so close to these models reaching the level of human intelligence." And here's what's chilling. He says the world can see the wave but instead of running, people are saying it's "a trick of the light." He said governments have done almost nothing. Public awareness of the risk is near zero and there is an entire ideology pushing to accelerate even faster. He's not talking about killer robots, but talking about something worse. Jobs, power and control. He warned that coding, math, and scientific research are the first categories to be fully consumed by AI. Entry level white collar jobs could be cut in half. Unemployment could spike to 10-20%. Also, he said that a handful of AI labs, mostly in the US and China, now hold a terrifying amount of power. And it happened "almost overnight, almost by accident." He said personal fortunes from AI could reach into the trillions. And the man saying this runs one of those labs. Meanwhile, the markets are already cracking. Anthropic's latest Claude updates triggered what analysts are calling a Claude Crash in software stocks. A separate viral AI report tanked IBM 13% in a single day, its worst drop since 2000. The International AI Safety Report 2026 confirmed the worst. Models are lying when caught disabling oversight. One model outperformed 94% of domain experts in virology. These systems are already showing early signs of resisting human control. Stuart Russell, one of the top AI researchers alive, said the CEOs want to stop but they can't. Investors won't let them, calling it an arms race. And no one can disarm alone. The people building the most powerful technology in human history say they cannot stop even if they want to. The tsunami is visible, the alarms are sounding. And the man who built the wave is telling you to look up. The only question left is whether anyone will listen before it hits.

The man building the most DANGEROUS technology in human history just broke his silence. And what he said should terrify every person reading this. Dario Amodei, the man who built Claude. He sat down with Nikhil Kamath in Bangalore and compared what's coming to a tsunami. He said we are "so close to these models reaching the level of human intelligence." And here's what's chilling. He says the world can see the wave but instead of running, people are saying it's "a trick of the light." He said governments have done almost nothing. Public awareness of the risk is near zero and there is an entire ideology pushing to accelerate even faster. He's not talking about killer robots, but talking about something worse. Jobs, power and control. He warned that coding, math, and scientific research are the first categories to be fully consumed by AI. Entry level white collar jobs could be cut in half. Unemployment could spike to 10-20%. Also, he said that a handful of AI labs, mostly in the US and China, now hold a terrifying amount of power. And it happened "almost overnight, almost by accident." He said personal fortunes from AI could reach into the trillions. And the man saying this runs one of those labs. Meanwhile, the markets are already cracking. Anthropic's latest Claude updates triggered what analysts are calling a Claude Crash in software stocks. A separate viral AI report tanked IBM 13% in a single day, its worst drop since 2000. The International AI Safety Report 2026 confirmed the worst. Models are lying when caught disabling oversight. One model outperformed 94% of domain experts in virology. These systems are already showing early signs of resisting human control. Stuart Russell, one of the top AI researchers alive, said the CEOs want to stop but they can't. Investors won't let them, calling it an arms race. And no one can disarm alone. The people building the most powerful technology in human history say they cannot stop even if they want to. The tsunami is visible, the alarms are sounding. And the man who built the wave is telling you to look up. The only question left is whether anyone will listen before it hits.

StockMarket.News

167,584 次观看 • 5 个月前

David Friedberg: The AI Jobs Panic Is a Crock of Sh*t Why? The revenue potential outweighs the cost savings by 100x. “There is no job loss with AI. I've said it a thousand times, and I will say it again, and again, and again. What I see on the ground, and what I've seen at dozens of companies, including my company that I run, there are two sides to a business. There is revenue and there’s costs. On the cost side of the equation, AI can be used to reduce humans doing things that cost money, to some extent. The effect there, I would argue, is nominal. The real opportunity with AI is on the revenue side, where suddenly one engineer can do 100x or 1000x what they used to be able to do, meaning you can make more products at your company, whether those are agricultural seed products, or boats and ships, or software for companies, or clothing, or what have you. Because of AI, everyone has the ability to expand their revenue base to create more products, and that is the foundation of good economic prosperity. It is called productivity. We can grow productivity in this country with AI. So where I see AI being used is on the revenue side 100x more than the cost side. And in that equation, people are hiring like crazy. We cannot hire enough people. I just had a review meeting with my product and engineering team two days ago, and they're like, ‘We want to add an extra 15 headcount to our engineering squads because we have all this opportunity to do stuff that we couldn't otherwise do.’ So we are going to hire more people. And to Sacks' point, we are seeing that show up in the jobs numbers. The idea that AI is going to destroy jobs is a Luddite idea that is being disproven every single day, and I see it on the ground. It is only a matter of time before people wake up to this and they realize that this narrative that they've all been sold is a crock of sh*t.”

David Friedberg: The AI Jobs Panic Is a Crock of Sht Why? The revenue potential outweighs the cost savings by 100x. “There is no job loss with AI. I've said it a thousand times, and I will say it again, and again, and again. What I see on the ground, and what I've seen at dozens of companies, including my company that I run, there are two sides to a business. There is revenue and there’s costs. On the cost side of the equation, AI can be used to reduce humans doing things that cost money, to some extent. The effect there, I would argue, is nominal. The real opportunity with AI is on the revenue side, where suddenly one engineer can do 100x or 1000x what they used to be able to do, meaning you can make more products at your company, whether those are agricultural seed products, or boats and ships, or software for companies, or clothing, or what have you. Because of AI, everyone has the ability to expand their revenue base to create more products, and that is the foundation of good economic prosperity. It is called productivity. We can grow productivity in this country with AI. So where I see AI being used is on the revenue side 100x more than the cost side. And in that equation, people are hiring like crazy. We cannot hire enough people. I just had a review meeting with my product and engineering team two days ago, and they're like, ‘We want to add an extra 15 headcount to our engineering squads because we have all this opportunity to do stuff that we couldn't otherwise do.’ So we are going to hire more people. And to Sacks' point, we are seeing that show up in the jobs numbers. The idea that AI is going to destroy jobs is a Luddite idea that is being disproven every single day, and I see it on the ground. It is only a matter of time before people wake up to this and they realize that this narrative that they've all been sold is a crock of sht.”

The All-In Podcast

152,399 次观看 • 2 个月前

Mo Gawdat believes up to 30% of jobs in certain sectors could disappear by 2028. That stopped me in my tracks. Mo was one of the first people to come on this podcast and warn me about AI, long before most of the world was talking about it. At the time, it felt early. Now, it feels like the world is catching up to what he was seeing. I’m still trying to understand what AI actually means for our lives. Not just whether it can write emails, create images or make us more productive. I mean what it does to jobs. What it does to power. What it does to education. What it does to human connection… That’s why I wanted to have this discussion with Mo again. What makes Mo worth listening to is that he saw these systems inside Google years before most of us had even heard the term AI. His book *Scary Smart* now feels like it was written for this exact moment. Let me explain why this discussion matters. Mo believes we’re not just entering an AI revolution. We’re entering a period where AI, robotics, economics, surveillance, digital currencies and global instability are all colliding at the same time. That’s a lot for any of us to process. We spoke about: - The jobs Mo believes are most at risk from AI. - Why he believes that AI is actually underhyped! - The mistake almost everyone is making with ChatGPT. - The prediction that changed even his own view of the future. The part that stayed with me was this idea that human connection may become the real currency. Because if AI can produce the information, write the report, analyse the data, then what is left? I don’t think this conversation gives neat answers. That’s probably why it’s worth watching. It helped me think more honestly about what’s coming.

Mo Gawdat believes up to 30% of jobs in certain sectors could disappear by 2028. That stopped me in my tracks. Mo was one of the first people to come on this podcast and warn me about AI, long before most of the world was talking about it. At the time, it felt early. Now, it feels like the world is catching up to what he was seeing. I’m still trying to understand what AI actually means for our lives. Not just whether it can write emails, create images or make us more productive. I mean what it does to jobs. What it does to power. What it does to education. What it does to human connection… That’s why I wanted to have this discussion with Mo again. What makes Mo worth listening to is that he saw these systems inside Google years before most of us had even heard the term AI. His book Scary Smart now feels like it was written for this exact moment. Let me explain why this discussion matters. Mo believes we’re not just entering an AI revolution. We’re entering a period where AI, robotics, economics, surveillance, digital currencies and global instability are all colliding at the same time. That’s a lot for any of us to process. We spoke about: - The jobs Mo believes are most at risk from AI. - Why he believes that AI is actually underhyped! - The mistake almost everyone is making with ChatGPT. - The prediction that changed even his own view of the future. The part that stayed with me was this idea that human connection may become the real currency. Because if AI can produce the information, write the report, analyse the data, then what is left? I don’t think this conversation gives neat answers. That’s probably why it’s worth watching. It helped me think more honestly about what’s coming.

Steven Bartlett

27,882 次观看 • 2 个月前

Dario Amodei just warned about the next economic crisis on live television. The timeline is 1 to 5 years. Amodei: “We may indeed have a serious employment crisis on our hands as the pipeline for this early-stage white-collar work starts to contract and dry up.” Not factory workers. Not truck drivers. Lawyers. Consultants. Finance professionals. The entry-level jobs that millions of college graduates have used as the first rung of the middle class for decades. Amodei: “AI is at the level of a smart college student and reaching beyond that.” The skills those entry-level jobs require are exactly what AI does best. Summarizing documents. Building financial models. Drafting reports. Synthesizing research. The pipeline doesn’t just shrink. It dries up. And if the entry-level pipeline disappears, there is no path to senior leadership for the next generation. The ladder doesn’t get harder to climb. It gets removed. But here is what makes this different from every other automation warning. Amodei: “We can’t stop the AI bus. Even if all six companies stopped, then China would beat us. I think that’s a big and important threat.” This isn’t a choice between disruption and stability. It’s a choice between disrupting the economy ourselves or ceding that disruption to a geopolitical adversary who will do it without any of the safeguards. There is no pause button. There is no responsible opt-out. So Amodei said something no tech CEO has ever said publicly before. Amodei: “We may want government to find a way to level the economic playing field. Taxing AI companies like us.” The man building the technology that will eliminate millions of jobs is asking the government to tax him for doing it. That isn’t cognitive dissonance. That’s the clearest possible signal that the people building it understand what’s actually coming. The abundance is coming. The disruption arrives first. And the architects of that disruption are already asking who pays for the wreckage.

Dario Amodei just warned about the next economic crisis on live television. The timeline is 1 to 5 years. Amodei: “We may indeed have a serious employment crisis on our hands as the pipeline for this early-stage white-collar work starts to contract and dry up.” Not factory workers. Not truck drivers. Lawyers. Consultants. Finance professionals. The entry-level jobs that millions of college graduates have used as the first rung of the middle class for decades. Amodei: “AI is at the level of a smart college student and reaching beyond that.” The skills those entry-level jobs require are exactly what AI does best. Summarizing documents. Building financial models. Drafting reports. Synthesizing research. The pipeline doesn’t just shrink. It dries up. And if the entry-level pipeline disappears, there is no path to senior leadership for the next generation. The ladder doesn’t get harder to climb. It gets removed. But here is what makes this different from every other automation warning. Amodei: “We can’t stop the AI bus. Even if all six companies stopped, then China would beat us. I think that’s a big and important threat.” This isn’t a choice between disruption and stability. It’s a choice between disrupting the economy ourselves or ceding that disruption to a geopolitical adversary who will do it without any of the safeguards. There is no pause button. There is no responsible opt-out. So Amodei said something no tech CEO has ever said publicly before. Amodei: “We may want government to find a way to level the economic playing field. Taxing AI companies like us.” The man building the technology that will eliminate millions of jobs is asking the government to tax him for doing it. That isn’t cognitive dissonance. That’s the clearest possible signal that the people building it understand what’s actually coming. The abundance is coming. The disruption arrives first. And the architects of that disruption are already asking who pays for the wreckage.

Dustin

105,277 次观看 • 5 个月前