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For two hundred thousand years, intelligence has been the rarest resource on earth. Locked inside individual human minds. Non‑scalable. Scarce. Every advance in civilization — every leap in science, art, industry, and statecraft — flowed from that scarcity. Artificial intelligence breaks that pattern. It makes intelligence abundant. It makes...

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Nina Schick

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130,546 次观看 • 7 个月前 •via X (Twitter)

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Over $400 billion is being invested this year to build AI infrastructure—the vast majority of it from U.S. hyperscalers. Next year, that number rises to $500 billion. Why? Because they believe in a future where non-biological intelligence becomes a utility—flowing through every sector of the economy. And if intelligence is going to function like a utility—ubiquitous, cheap, and embedded everywhere—its a geopolitical event. Intelligence at industrial scale will rewrite the rules of power. It will determine who is prosperous, who is secure, and who leads in science and innovation. In the 21st century, every lever of sovereignty will flow downstream from the ability to build, control, and scale this industrial Intelligence.
1:00

Over $400 billion is being invested this year to build AI infrastructure—the vast majority of it from U.S. hyperscalers. Next year, that number rises to $500 billion. Why? Because they believe in a future where non-biological intelligence becomes a utility—flowing through every sector of the economy. And if intelligence is going to function like a utility—ubiquitous, cheap, and embedded everywhere—its a geopolitical event. Intelligence at industrial scale will rewrite the rules of power. It will determine who is prosperous, who is secure, and who leads in science and innovation. In the 21st century, every lever of sovereignty will flow downstream from the ability to build, control, and scale this industrial Intelligence.

Nina Schick

21,772 次观看 • 8 个月前

Called it. I’ve been saying that knowledge and intelligence would become a utility and that these same elite demons who control the money will also control the knowledge and intelligence. Here is one of them, Sam altman, who abused his younger sister allegedly confirming it.
2:58

Called it. I’ve been saying that knowledge and intelligence would become a utility and that these same elite demons who control the money will also control the knowledge and intelligence. Here is one of them, Sam altman, who abused his younger sister allegedly confirming it.

Ian

21,198 次观看 • 4 个月前

Everyone is asking about AI’s ROI. The use cases. The productivity gains. All of that matters, but it comes later. Because the bigger story isn’t about applications. It’s that a general intelligence is being industrialised. AI is no longer a software feature. It’s becoming the infrastructure layer of the next economy. The foundation upon which every industry, every transaction, and even future systems of governance will run. We’ve seen this before. Moore’s Law turned silicon into the backbone of the digital age. Now AI scaling laws are doing the same for intelligence — only faster, cheaper, and far more profound. Intelligence is becoming something we can manufacture, distribute, and embed everywhere. And once intelligence becomes industrial, the question shifts. It’s no longer what are the use cases? It’s who controls the infrastructure of intelligence? Because that answer won’t just determine which companies win — it will determine which nations do.
0:26

Everyone is asking about AI’s ROI. The use cases. The productivity gains. All of that matters, but it comes later. Because the bigger story isn’t about applications. It’s that a general intelligence is being industrialised. AI is no longer a software feature. It’s becoming the infrastructure layer of the next economy. The foundation upon which every industry, every transaction, and even future systems of governance will run. We’ve seen this before. Moore’s Law turned silicon into the backbone of the digital age. Now AI scaling laws are doing the same for intelligence — only faster, cheaper, and far more profound. Intelligence is becoming something we can manufacture, distribute, and embed everywhere. And once intelligence becomes industrial, the question shifts. It’s no longer what are the use cases? It’s who controls the infrastructure of intelligence? Because that answer won’t just determine which companies win — it will determine which nations do.

Nina Schick

17,904 次观看 • 7 个月前

The greatest risk we face today is not market volatility. It is not even war in the traditional sense. It is that democracies fail to reimagine sovereignty and prosperity in the age of AI. This is not a theoretical threat. It is a practical one. Because power is shifting, rapidly, from the old levers of influence to the new architecture of intelligence. Nations that cannot adapt will not only fall behind. They will lose control of their economic future, their digital infrastructure, and ultimately their political agency.
0:23

The greatest risk we face today is not market volatility. It is not even war in the traditional sense. It is that democracies fail to reimagine sovereignty and prosperity in the age of AI. This is not a theoretical threat. It is a practical one. Because power is shifting, rapidly, from the old levers of influence to the new architecture of intelligence. Nations that cannot adapt will not only fall behind. They will lose control of their economic future, their digital infrastructure, and ultimately their political agency.

Nina Schick

33,207 次观看 • 10 个月前

Ilya Sutskever, co-founder and chief scientist of OpenAI: "Artificial intelligence is nothing but digital brains inside large computers." Sit with how flatly he says it. Not a metaphor, not marketing. The seat of intelligence in a human is a biological brain. The seat of intelligence in AI is an artificial one. Same thing, different substrate. Right now, he admits, it only "understands mostly, sort of." But that gap is temporary. In his words: "the day will come when the digital brains that live inside our computers will become as good and even better than our own biological brains. Computers will become smarter than us." He makes it concrete. Once an AI is built to be a doctor, with every medical paper and billions of hours of clinical experience, always on and almost free, "we will look back at today's health care similarly to how we look at 16th century dentistry." Hinton says it already understands. Ilya says the brain is just built differently. Either way, the argument was never whether it thinks. It was whether we were ready for the answer.
12:20

Ilya Sutskever, co-founder and chief scientist of OpenAI: "Artificial intelligence is nothing but digital brains inside large computers." Sit with how flatly he says it. Not a metaphor, not marketing. The seat of intelligence in a human is a biological brain. The seat of intelligence in AI is an artificial one. Same thing, different substrate. Right now, he admits, it only "understands mostly, sort of." But that gap is temporary. In his words: "the day will come when the digital brains that live inside our computers will become as good and even better than our own biological brains. Computers will become smarter than us." He makes it concrete. Once an AI is built to be a doctor, with every medical paper and billions of hours of clinical experience, always on and almost free, "we will look back at today's health care similarly to how we look at 16th century dentistry." Hinton says it already understands. Ilya says the brain is just built differently. Either way, the argument was never whether it thinks. It was whether we were ready for the answer.

Casper

69,481 次观看 • 1 个月前

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

19,813 次观看 • 5 个月前

#WATCH | Delhi: Adani Group Chairman Gautam Adani says, "What has become even more obvious from the recent Middle East conflict and targeted attacks on infrastructure is that energy security and digital security are no longer independent dimensions. They are now the twin foundations of national power. And it is increasingly evident that the country that controls its energy will drive its industrial future. The country that controls its compute will drive its intelligence future, and the country that controls both will shape the century ahead. This is the new geometry of power. If 1947 was about our political freedom, true independence in the 21st century will mean owning the energy that lights our homes and the intelligence that guides our minds. This is not a theory. The two largest economies in the world, the United States and China, have understood this deeply. Their systems may be different. Their politics may be different. Their institutions may be different. But their strategic objectives are the same. No nation can call itself truly self-reliant if it depends on others for the energy that powers its economy or the intelligence that shapes its destiny." (Video source: Adani Group)
3:54

#WATCH | Delhi: Adani Group Chairman Gautam Adani says, "What has become even more obvious from the recent Middle East conflict and targeted attacks on infrastructure is that energy security and digital security are no longer independent dimensions. They are now the twin foundations of national power. And it is increasingly evident that the country that controls its energy will drive its industrial future. The country that controls its compute will drive its intelligence future, and the country that controls both will shape the century ahead. This is the new geometry of power. If 1947 was about our political freedom, true independence in the 21st century will mean owning the energy that lights our homes and the intelligence that guides our minds. This is not a theory. The two largest economies in the world, the United States and China, have understood this deeply. Their systems may be different. Their politics may be different. Their institutions may be different. But their strategic objectives are the same. No nation can call itself truly self-reliant if it depends on others for the energy that powers its economy or the intelligence that shapes its destiny." (Video source: Adani Group)

ANI

161,406 次观看 • 3 个月前

There are two kinds of A.I. -- not just one. We keep hearing about the A.I. known as "Artificial Intelligence." But there is an older A.I. that almost nobody talks about anyone. Call it "Ancient Intelligence." Or "Ancestral Intelligence." These are the wisdom traditions, the community bonds and the moral frameworks that have always kept us human. One A.I. is growing exponentially. The other is being left behind. We are in danger of having a society that is characterized by "all data and no wisdom." Right now, exponential technology is creating a gap that leaves people behind. The question is whether we close it before it closes on us. Closing that gap requires a new deal between big tech and the rest of humanity. I shared what we can do about all of this at TED Talks. My talk is live today - watch here:
0:33

There are two kinds of A.I. -- not just one. We keep hearing about the A.I. known as "Artificial Intelligence." But there is an older A.I. that almost nobody talks about anyone. Call it "Ancient Intelligence." Or "Ancestral Intelligence." These are the wisdom traditions, the community bonds and the moral frameworks that have always kept us human. One A.I. is growing exponentially. The other is being left behind. We are in danger of having a society that is characterized by "all data and no wisdom." Right now, exponential technology is creating a gap that leaves people behind. The question is whether we close it before it closes on us. Closing that gap requires a new deal between big tech and the rest of humanity. I shared what we can do about all of this at TED Talks. My talk is live today - watch here:

Van Jones

15,948 次观看 • 1 个月前

Jensen Huang just replaced the most important metric in global economics. Not trade volume. Not oil output. Not manufacturing. Compute. Huang: “Compute equals GDP. I know that for certain.” He did not say probably. He said certain. If your nation does not produce compute, it does not produce intelligence. If it does not produce intelligence, it does not produce revenue. Two links in the chain. Miss one and the whole thing breaks. Huang: “Not one country in the future will say, ‘Guess what, we’re gonna opt out on intelligence.’” Because opting out of compute is not a strategic decision. It is an extinction schedule. Every country that does not build its own inference capacity becomes a tenant in someone else’s infrastructure. Not an ally. Not a partner. A dependent. And dependents do not negotiate terms. They accept them. But this is not just a story about nations. Huang: “The entire software industry will be token-driven.” Every product. Every platform. Every service you touch. The entire business model of software is about to be measured in tokens consumed. Not seats sold. Not licenses renewed. Tokens burned. Software used to be a thing you bought. Now it is a thing that thinks. And thinking costs compute. Every query. Every action. Every decision the machine makes on your behalf. The meter is always running. Huang: “The entire internet industry could take 100% of their CapEx and make it AI because it’s better.” Not ten percent. Not a pilot program. One hundred percent. The moment any internet service rebuilds itself on generative intelligence, it outperforms every version that came before it. Search. Ads. Recommendation. Infrastructure. All of it. Better on contact. CapEx follows. All of it. Trillions moving in one direction with no offramp. The companies still budgeting AI as a line item are telling you exactly how much they understand. AI is not the line item. AI is the budget. The global economy is being re-denominated in a currency most people have not even heard of yet. Tokens. Whoever controls the supply of that currency is not playing in the new economy. They are the house. And the house does not lose.
2:07

Jensen Huang just replaced the most important metric in global economics. Not trade volume. Not oil output. Not manufacturing. Compute. Huang: “Compute equals GDP. I know that for certain.” He did not say probably. He said certain. If your nation does not produce compute, it does not produce intelligence. If it does not produce intelligence, it does not produce revenue. Two links in the chain. Miss one and the whole thing breaks. Huang: “Not one country in the future will say, ‘Guess what, we’re gonna opt out on intelligence.’” Because opting out of compute is not a strategic decision. It is an extinction schedule. Every country that does not build its own inference capacity becomes a tenant in someone else’s infrastructure. Not an ally. Not a partner. A dependent. And dependents do not negotiate terms. They accept them. But this is not just a story about nations. Huang: “The entire software industry will be token-driven.” Every product. Every platform. Every service you touch. The entire business model of software is about to be measured in tokens consumed. Not seats sold. Not licenses renewed. Tokens burned. Software used to be a thing you bought. Now it is a thing that thinks. And thinking costs compute. Every query. Every action. Every decision the machine makes on your behalf. The meter is always running. Huang: “The entire internet industry could take 100% of their CapEx and make it AI because it’s better.” Not ten percent. Not a pilot program. One hundred percent. The moment any internet service rebuilds itself on generative intelligence, it outperforms every version that came before it. Search. Ads. Recommendation. Infrastructure. All of it. Better on contact. CapEx follows. All of it. Trillions moving in one direction with no offramp. The companies still budgeting AI as a line item are telling you exactly how much they understand. AI is not the line item. AI is the budget. The global economy is being re-denominated in a currency most people have not even heard of yet. Tokens. Whoever controls the supply of that currency is not playing in the new economy. They are the house. And the house does not lose.

Dustin

43,505 次观看 • 5 个月前

ELON: HUMANS ARE THE BIOLOGICAL BOOTLOADER FOR AI “I made this comment some years ago, but it feels like we are the biological bootloader for AI. Effectively, we are building it, and then we're building progressively greater intelligence, and the percentage of intelligence that is not human is increasing. Eventually, we will represent a very small percentage of intelligence.” Source: Joe Rogan Experience
0:57

ELON: HUMANS ARE THE BIOLOGICAL BOOTLOADER FOR AI “I made this comment some years ago, but it feels like we are the biological bootloader for AI. Effectively, we are building it, and then we're building progressively greater intelligence, and the percentage of intelligence that is not human is increasing. Eventually, we will represent a very small percentage of intelligence.” Source: Joe Rogan Experience

Mario Nawfal

118,864 次观看 • 1 年前

Ex-Google executive Mo Gawdat defines Intelligence. "If we accept that intelligence itself is not a physical property, then it does not matter whether that intelligence is produced on carbon-based computer structures like humans, silicon-based computer structures like today’s hardware running AI, or quantum-based computer structures in the future. Intelligence is produced within machines when we stop imposing our own intelligence on them." --- From 'The Diary Of A CEO and Mo Gawdat' YT channel (link in comment)
1:01

Ex-Google executive Mo Gawdat defines Intelligence. "If we accept that intelligence itself is not a physical property, then it does not matter whether that intelligence is produced on carbon-based computer structures like humans, silicon-based computer structures like today’s hardware running AI, or quantum-based computer structures in the future. Intelligence is produced within machines when we stop imposing our own intelligence on them." --- From 'The Diary Of A CEO and Mo Gawdat' YT channel (link in comment)

Rohan Paul

18,106 次观看 • 3 个月前

Roger Penrose, Nobel Prize-winning physicist and mathematician, explains why we should stop calling it AI and start calling it "artificial cleverness": He believes the entire field is mislabelled, and the label itself is doing damage. His objection is simple but cuts deep: "The name is wrong. It's not artificial intelligence. It's not intelligence. Intelligence would involve consciousness. Well, if it's a machine, it's not conscious." For Penrose, people have confused raw computing power with genuine understanding. "People have lost the plot. They've lost it in the power of computing. The thing is that computers have got so powerful that they've lost the thread of what they're doing. But I think consciousness is something different. It's not computational." He believes the term itself has hypnotized people into a category error: "People are so hypnotized. The trouble is that AI is a bad term. It means artificial intelligence. Now intelligence in my view is conscious. That's what intelligence is about." So he proposes a rename. Artificial Cleverness. AC instead of AI. To illustrate the distinction, Penrose draws on his experience teaching mathematics: "You have mathematics students. Some of them understand what they're doing. Some are just clever. They can repeat what they've learned. They know how to do it very cleverly. They can calculate very well, but they don't necessarily understand what they're doing." That gap, between calculating well and actually understanding, is the gap Penrose sees between today's machines and genuine intelligence. Cleverness can be manufactured. Consciousness, in his view, cannot. So the question worth sitting with: when we call a system "intelligent," are we describing what it does, or quietly assuming something about what it is?
1:06

Roger Penrose, Nobel Prize-winning physicist and mathematician, explains why we should stop calling it AI and start calling it "artificial cleverness": He believes the entire field is mislabelled, and the label itself is doing damage. His objection is simple but cuts deep: "The name is wrong. It's not artificial intelligence. It's not intelligence. Intelligence would involve consciousness. Well, if it's a machine, it's not conscious." For Penrose, people have confused raw computing power with genuine understanding. "People have lost the plot. They've lost it in the power of computing. The thing is that computers have got so powerful that they've lost the thread of what they're doing. But I think consciousness is something different. It's not computational." He believes the term itself has hypnotized people into a category error: "People are so hypnotized. The trouble is that AI is a bad term. It means artificial intelligence. Now intelligence in my view is conscious. That's what intelligence is about." So he proposes a rename. Artificial Cleverness. AC instead of AI. To illustrate the distinction, Penrose draws on his experience teaching mathematics: "You have mathematics students. Some of them understand what they're doing. Some are just clever. They can repeat what they've learned. They know how to do it very cleverly. They can calculate very well, but they don't necessarily understand what they're doing." That gap, between calculating well and actually understanding, is the gap Penrose sees between today's machines and genuine intelligence. Cleverness can be manufactured. Consciousness, in his view, cannot. So the question worth sitting with: when we call a system "intelligent," are we describing what it does, or quietly assuming something about what it is?

Big Brain AI

117,990 次观看 • 3 个月前

The thesis that capitalism is artificial intelligence was, is, and will be Nick’s fundamental theoretical contribution. He is correct about this and it is in this precise sense that I am a Landian.
0:27

The thesis that capitalism is artificial intelligence was, is, and will be Nick’s fundamental theoretical contribution. He is correct about this and it is in this precise sense that I am a Landian.

Mikey Downs

155,256 次观看 • 2 个月前

On Bloomberg last night, I was asked why Amazon drives more than a third of U.S. e-commerce. It is not because of their storefront. It is not because of their payments. It is not even because of product selection. It is because consumers trust their deliveries. That trust is built on physical infrastructure at scale with intelligence layered on top. And that is what Stord is building for every independent merchant. The most defensible companies in the world combine software intelligence with physical execution. Today, 9 of the 10 largest U.S. companies by revenue operate physical networks at scale. Software alone cannot replicate the outcomes created when you control the movement of physical atoms. That is the physical intelligence layer for commerce. And that is what Stord Labs is built to advance. Deploying AI and robotics against real operational complexity, in the real world, across a vertically integrated network operating at scale. Bloomberg TV
5:51

On Bloomberg last night, I was asked why Amazon drives more than a third of U.S. e-commerce. It is not because of their storefront. It is not because of their payments. It is not even because of product selection. It is because consumers trust their deliveries. That trust is built on physical infrastructure at scale with intelligence layered on top. And that is what Stord is building for every independent merchant. The most defensible companies in the world combine software intelligence with physical execution. Today, 9 of the 10 largest U.S. companies by revenue operate physical networks at scale. Software alone cannot replicate the outcomes created when you control the movement of physical atoms. That is the physical intelligence layer for commerce. And that is what Stord Labs is built to advance. Deploying AI and robotics against real operational complexity, in the real world, across a vertically integrated network operating at scale. Bloomberg TV

Sean Henry

1,275,331 次观看 • 3 个月前

🧵19/34 The Strongest Force in the Universe --- Ok, So what if the AGI starts working towards something humans do not want to happen? You must understand: Intelligence is not about the nerdy professor, it’s not about the geeky academic bookworm type. Intelligence is the strongest force in the universe. It means being capable. It is sharp, brilliant and creative. It is strategic, manipulative and innovative. It understands deeply, exerts influence, persuades and leads. It is to know how to bend the world to your will. It is what turns a vision to reality, it is focus, commitment, willpower, having the resolve to never give up, overcoming all the obstacles and paving the way to the target. It is about searching deeply the space of possibilities and finding optimal solutions. Being intelligent simply means having what it takes to make it happen. There is always a path and a super-intelligence will always find it. Simple Fact --- So, we should start by stating the fact in a clear and unambiguous way: If you create something more intelligent than you that wants something else, then that something else is what is going to happen, even if you don’t want that something else to happen. Irrelevance of Sentience --- Keep in mind, the intelligence we are talking about is not about having feelings, or being self-aware and having qualia. Don’t fall into the trap of anthropomorphizing. Do not get stuck, looking for the Human type of Intelligence. Consciousness is not a requirement for the AGI at all. When we say the “AGI wants something X, or has the goal to do X”, what we mean is that this thing X is just one of the steps in a plan, generated by its model. A line in the output, a system like the Large Language Models produce when they receive a prompt. We don’t care if there is a Ghost in the machine, we don’t care if there is an actual soul that wants things hidden in the servers. We just observe the output which contains text descriptions of actions and goals and we leave the philosophy discussion for another day.
3:16

🧵19/34 The Strongest Force in the Universe --- Ok, So what if the AGI starts working towards something humans do not want to happen? You must understand: Intelligence is not about the nerdy professor, it’s not about the geeky academic bookworm type. Intelligence is the strongest force in the universe. It means being capable. It is sharp, brilliant and creative. It is strategic, manipulative and innovative. It understands deeply, exerts influence, persuades and leads. It is to know how to bend the world to your will. It is what turns a vision to reality, it is focus, commitment, willpower, having the resolve to never give up, overcoming all the obstacles and paving the way to the target. It is about searching deeply the space of possibilities and finding optimal solutions. Being intelligent simply means having what it takes to make it happen. There is always a path and a super-intelligence will always find it. Simple Fact --- So, we should start by stating the fact in a clear and unambiguous way: If you create something more intelligent than you that wants something else, then that something else is what is going to happen, even if you don’t want that something else to happen. Irrelevance of Sentience --- Keep in mind, the intelligence we are talking about is not about having feelings, or being self-aware and having qualia. Don’t fall into the trap of anthropomorphizing. Do not get stuck, looking for the Human type of Intelligence. Consciousness is not a requirement for the AGI at all. When we say the “AGI wants something X, or has the goal to do X”, what we mean is that this thing X is just one of the steps in a plan, generated by its model. A line in the output, a system like the Large Language Models produce when they receive a prompt. We don’t care if there is a Ghost in the machine, we don’t care if there is an actual soul that wants things hidden in the servers. We just observe the output which contains text descriptions of actions and goals and we leave the philosophy discussion for another day.

lethalintelligence.ai

565,240 次观看 • 1 年前

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

54,061 次观看 • 3 个月前

“The CIA is not now nor has it ever been a central intelligence agency. It is the covert action arm of the President's foreign policy advisers. In that capacity it overthrows or supports foreign governments while reporting "intelligence" justifying those activities. It shapes its intelligence, even in such critical areas as Soviet nuclear weapon capability, to support presidential policy. Disinformation is a large part of its covert action responsibility, and the American people are the primary target audience of its lies." Part 1 👀
5:48

“The CIA is not now nor has it ever been a central intelligence agency. It is the covert action arm of the President's foreign policy advisers. In that capacity it overthrows or supports foreign governments while reporting "intelligence" justifying those activities. It shapes its intelligence, even in such critical areas as Soviet nuclear weapon capability, to support presidential policy. Disinformation is a large part of its covert action responsibility, and the American people are the primary target audience of its lies." Part 1 👀

The Researcher

175,159 次观看 • 3 年前

🧵18/34 Discontinuities on our planet (Mountains changing shape) --- In fact, talking about AGI like if it’s another technology is really confusing people. People talk about it as if it is ‘The next big thing” that will transform our lives, like the invention of the smartphone or the internet. This framing couldn’t be more wrong, it puts AGI into a wrong category. It brings to mind cool futuristic pictures with awesome gadgets and robotic friends. AGI is not like any transformative technology that has ever happened with humanity so far. The change it will bring is not like that of the invention of the internet. It is not even comparable to the invention of electricity or even to the first time humans learned to use fire. Natural Selection Discontinuity --- The correct way to categorise AGI is the type of discontinuity that happened to Earth when the first lifeforms appeared and the intelligent dynamic of natural selection got a foothold. Before that event, the planet was basically a bunch of elements and physical processes dancing randomly to the tune of the basic laws of nature. After life came to the picture, complex replicating structures filled the surface and changed it radically. Human Intelligence Discontinuity --- A second example is when human intelligence was added to the mix. Before that, the earth was vibrant with life but the effects and impact of it were stable and limited. After human intelligence, you suddenly have huge artificial structures lit at night like towns, huge vessels moving everywhere like massive ships and airplanes, life escaping gravity and reaching out to the universe with spaceships and unimaginable power to destroy everything with things like nuclear bombs. AGI Discontinuity --- AGI is another such phenomenon. The transformation it will bring is in the same category as those 2 events in the history of the planet. What you will suddenly see on earth after this third discontinuity, no-one knows. But it’s not going to look like the next smartphone. It is going to look more like mountains changing shape ! To compare it to technology (any technology ever invented by humanity) is seriously misleading.
2:55

🧵18/34 Discontinuities on our planet (Mountains changing shape) --- In fact, talking about AGI like if it’s another technology is really confusing people. People talk about it as if it is ‘The next big thing” that will transform our lives, like the invention of the smartphone or the internet. This framing couldn’t be more wrong, it puts AGI into a wrong category. It brings to mind cool futuristic pictures with awesome gadgets and robotic friends. AGI is not like any transformative technology that has ever happened with humanity so far. The change it will bring is not like that of the invention of the internet. It is not even comparable to the invention of electricity or even to the first time humans learned to use fire. Natural Selection Discontinuity --- The correct way to categorise AGI is the type of discontinuity that happened to Earth when the first lifeforms appeared and the intelligent dynamic of natural selection got a foothold. Before that event, the planet was basically a bunch of elements and physical processes dancing randomly to the tune of the basic laws of nature. After life came to the picture, complex replicating structures filled the surface and changed it radically. Human Intelligence Discontinuity --- A second example is when human intelligence was added to the mix. Before that, the earth was vibrant with life but the effects and impact of it were stable and limited. After human intelligence, you suddenly have huge artificial structures lit at night like towns, huge vessels moving everywhere like massive ships and airplanes, life escaping gravity and reaching out to the universe with spaceships and unimaginable power to destroy everything with things like nuclear bombs. AGI Discontinuity --- AGI is another such phenomenon. The transformation it will bring is in the same category as those 2 events in the history of the planet. What you will suddenly see on earth after this third discontinuity, no-one knows. But it’s not going to look like the next smartphone. It is going to look more like mountains changing shape ! To compare it to technology (any technology ever invented by humanity) is seriously misleading.

Lethal Intelligence

533,916 次观看 • 1 年前

Elon Musk just explained why the most important AI company on Earth might be a rocket company. The human brain is 2% of body mass. It burns 20% of the body’s total energy. Intelligence has always been an energy problem disguised as an information problem. The entire tech industry missed this. Musk: “Those who have lived in software land don’t realize that they’re about to have a hard lesson in hardware.” Every new model is hungrier than the last. Every training run devours more electricity than the one before. The grid was not built for this. Utility companies move at geological speed. Interconnection takes years. Permitting takes years. Construction takes years. AI moves in months. Musk: “You’re going to hit the wall big time on power generation. They already are.” The obvious answer is private power plants next to data centers. Musk: “Where do you get the power plants? Where do you get the power plants from?” You cannot will a turbine into existence with venture capital. Every atom on Earth is bound by friction, gravity, and regulation. Most people stare at this wall and see the ceiling on intelligence. They are looking in the wrong direction. In orbit there is no night. No clouds. No seasons. No permitting. No grid. Unfiltered solar energy feeding silicon every hour of every day. Musk: “It’s 10 times cheaper because you don’t need any batteries.” That single number rewrites the entire economics of intelligence. Musk: “The moment your cost of access to space becomes low, by far the cheapest and most scalable way to generate tokens is space.” SpaceX is not a rocket company. It is quietly becoming the most important energy infrastructure play on the planet. Starship is not about Mars. It is about making orbit so cheap that building on the ground becomes the irrational choice. Every major leap in intelligence followed the same pattern. Not a smarter algorithm. A bigger energy source. Fire grew the human brain. Fossil fuels built the computer. The next source isn’t on this planet. The ceiling on intelligence was never artificial. It was always gravitational. The future will not be decided by who builds the best model. It will be decided by who builds the cheapest rocket.
1:02

Elon Musk just explained why the most important AI company on Earth might be a rocket company. The human brain is 2% of body mass. It burns 20% of the body’s total energy. Intelligence has always been an energy problem disguised as an information problem. The entire tech industry missed this. Musk: “Those who have lived in software land don’t realize that they’re about to have a hard lesson in hardware.” Every new model is hungrier than the last. Every training run devours more electricity than the one before. The grid was not built for this. Utility companies move at geological speed. Interconnection takes years. Permitting takes years. Construction takes years. AI moves in months. Musk: “You’re going to hit the wall big time on power generation. They already are.” The obvious answer is private power plants next to data centers. Musk: “Where do you get the power plants? Where do you get the power plants from?” You cannot will a turbine into existence with venture capital. Every atom on Earth is bound by friction, gravity, and regulation. Most people stare at this wall and see the ceiling on intelligence. They are looking in the wrong direction. In orbit there is no night. No clouds. No seasons. No permitting. No grid. Unfiltered solar energy feeding silicon every hour of every day. Musk: “It’s 10 times cheaper because you don’t need any batteries.” That single number rewrites the entire economics of intelligence. Musk: “The moment your cost of access to space becomes low, by far the cheapest and most scalable way to generate tokens is space.” SpaceX is not a rocket company. It is quietly becoming the most important energy infrastructure play on the planet. Starship is not about Mars. It is about making orbit so cheap that building on the ground becomes the irrational choice. Every major leap in intelligence followed the same pattern. Not a smarter algorithm. A bigger energy source. Fire grew the human brain. Fossil fuels built the computer. The next source isn’t on this planet. The ceiling on intelligence was never artificial. It was always gravitational. The future will not be decided by who builds the best model. It will be decided by who builds the cheapest rocket.

Dustin

50,228 次观看 • 2 个月前

📁 Sam Altman, CEO of OpenAI, says the cost of intelligence has dropped 1000x in just 18 months. That kind of deflation almost never happens. If intelligence keeps getting cheaper, it stops being scarce. And when intelligence is no longer scarce, the rules of the economy change.
1:36

📁 Sam Altman, CEO of OpenAI, says the cost of intelligence has dropped 1000x in just 18 months. That kind of deflation almost never happens. If intelligence keeps getting cheaper, it stops being scarce. And when intelligence is no longer scarce, the rules of the economy change.

Jon Hernandez

31,487 次观看 • 6 个月前