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"Everybody thought software programming was the ultimate “smart” profession. Look what one of the first things AI is solving: software programming." ~ Jensen Huang defines smartness in the AI era "I know what people are thinking: the definition of smart is someone who’s intelligent, solves problems, and is technical.... show more

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Jensen Huang just made the case that the smartest person in the room is now the most replaceable person on earth. Huang: “The definition of smart is somebody who’s intelligent, solve problems, technical. But I find that that’s a commodity. And we’re about to prove that artificial intelligence is able to handle that part easiest.” The skill you built your entire identity around was the first thing the machine replicated. Not the hardest part. The easiest. Huang: “People who are able to see around corners are truly, truly smart. And their value is incredible. To be able to preempt problems before they show up, just because you feel the vibe.” Huang: “That vibe came from a combination of data, analysis, first principle, life experience, wisdom, sensing other people.” The vibe is not intuition. It is decades of failed bets, human friction, and first-principles thinking compressed into a single read no model can replicate. You cannot prompt your way to it. You earn it by surviving things that had no instructions. Huang: “I think long term the definition of smart is someone who sits at that intersection of being technically astute, but human empathy and having the ability to infer the unspoken, around the corners, the unknowables.” Every institution you ever passed through graded you on the one thing the machine now does for free. The thing they never tested you on is the only thing that still matters. Huang: “And that person might actually score horribly on the SAT.” The SAT did not measure intelligence. It measured obedience to structure. The future does not reward what you can solve inside a framework someone handed you. It rewards what you can see when no framework exists. The machine did not replace human intelligence. It revealed that what we spent a century calling intelligence was never intelligence at all. The people who memorized the answers are about to work for the people who sensed the questions before anyone thought to ask.

Jensen Huang just made the case that the smartest person in the room is now the most replaceable person on earth. Huang: “The definition of smart is somebody who’s intelligent, solve problems, technical. But I find that that’s a commodity. And we’re about to prove that artificial intelligence is able to handle that part easiest.” The skill you built your entire identity around was the first thing the machine replicated. Not the hardest part. The easiest. Huang: “People who are able to see around corners are truly, truly smart. And their value is incredible. To be able to preempt problems before they show up, just because you feel the vibe.” Huang: “That vibe came from a combination of data, analysis, first principle, life experience, wisdom, sensing other people.” The vibe is not intuition. It is decades of failed bets, human friction, and first-principles thinking compressed into a single read no model can replicate. You cannot prompt your way to it. You earn it by surviving things that had no instructions. Huang: “I think long term the definition of smart is someone who sits at that intersection of being technically astute, but human empathy and having the ability to infer the unspoken, around the corners, the unknowables.” Every institution you ever passed through graded you on the one thing the machine now does for free. The thing they never tested you on is the only thing that still matters. Huang: “And that person might actually score horribly on the SAT.” The SAT did not measure intelligence. It measured obedience to structure. The future does not reward what you can solve inside a framework someone handed you. It rewards what you can see when no framework exists. The machine did not replace human intelligence. It revealed that what we spent a century calling intelligence was never intelligence at all. The people who memorized the answers are about to work for the people who sensed the questions before anyone thought to ask.

Dustin

122,916 просмотров • 13 дней назад

Software engineering used to be the pinnacle of intelligence. Now it’s the first job AI is replacing. Jensen Huang: “Technical intelligence is becoming a commodity.” The hard technical problems everyone worried about? Those turned out to be the easy ones. Machines solve them faster, cheaper, and without error. So what’s left for humans? Huang: “People who can see around corners are truly, truly smart.” The new intelligence isn’t solving the problem in front of you. It’s sensing the problem before it exists. Connecting patterns that don’t look related. Anticipating what no one has thought to ask for yet. That’s not logic. That’s intuition. A synthesis of experience, context, empathy, and instinct you can’t train into a model. Huang: “My personal definition of smart is someone who sits at the intersection of technical astuteness and human empathy.” Technical skill is table stakes now. The real edge belongs to people who read between the lines, navigate ambiguity, and synthesize across domains AI can’t bridge. Calculation is commodity work. Synthesis is where the power lives. The valuable people aren’t writing the code anymore. They’re seeing what needs to exist before anyone knows to ask for it.

Software engineering used to be the pinnacle of intelligence. Now it’s the first job AI is replacing. Jensen Huang: “Technical intelligence is becoming a commodity.” The hard technical problems everyone worried about? Those turned out to be the easy ones. Machines solve them faster, cheaper, and without error. So what’s left for humans? Huang: “People who can see around corners are truly, truly smart.” The new intelligence isn’t solving the problem in front of you. It’s sensing the problem before it exists. Connecting patterns that don’t look related. Anticipating what no one has thought to ask for yet. That’s not logic. That’s intuition. A synthesis of experience, context, empathy, and instinct you can’t train into a model. Huang: “My personal definition of smart is someone who sits at the intersection of technical astuteness and human empathy.” Technical skill is table stakes now. The real edge belongs to people who read between the lines, navigate ambiguity, and synthesize across domains AI can’t bridge. Calculation is commodity work. Synthesis is where the power lives. The valuable people aren’t writing the code anymore. They’re seeing what needs to exist before anyone knows to ask for it.

Dustin

95,315 просмотров • 5 месяцев назад

NVIDIA CEO Jensen Huang just said the quiet part out loud about what the education system will never admit. For a century, we built humans to think like calculators. The algorithm made that skillset obsolete overnight. Huang: “The definition of smart is somebody who’s intelligent, solve problems, technical. But I find that that’s a commodity. And we’re about to prove that artificial intelligence is able to handle that part easiest.” Software engineering was supposed to be the safe play. Superintelligence cleared it first. The SAT was supposed to measure intelligence. It was measuring the ability to follow instructions. Raw technical processing isn’t a competitive edge anymore. It’s the floor the machine stepped over before you woke up. The question isn’t what you can calculate. It’s what you can see before the data shows up. Huang: “People who are able to see around corners are truly, truly smart. And their value is incredible. To be able to preempt problems before they show up, just because you feel the vibe.” That vibe isn’t magic. It’s the collision of first principles, human empathy, and lived experience no model can fake. Huang: “That vibe came from a combination of data, analysis, first principle, life experience, wisdom, sensing other people.” The operators who see around corners will command the AI. The ones waiting for dashboards to update will be replaced by it. Huang: “I think long term the definition of smart is someone who sits at that intersection of being technically astute, but human empathy and having the ability to infer the unspoken, around the corners, the unknowables.” The unspoken variables are the new leverage. The human psychology inside a market. The invisible friction in a negotiation. The instinct to build something nobody asked for yet. You can’t spreadsheet your way there. You can’t prompt your way to that perception. It comes from decades of watching what doesn’t show up in the metrics. Huang: “And that person might actually score horribly on the SAT.” The future doesn’t belong to people who memorized answers. It belongs to people who sense the questions before anyone thinks to ask. The old system tested your ability to follow orders. The new one tests your ability to move through the unknown. And the machine can’t help you with that part. That part is entirely on you.

NVIDIA CEO Jensen Huang just said the quiet part out loud about what the education system will never admit. For a century, we built humans to think like calculators. The algorithm made that skillset obsolete overnight. Huang: “The definition of smart is somebody who’s intelligent, solve problems, technical. But I find that that’s a commodity. And we’re about to prove that artificial intelligence is able to handle that part easiest.” Software engineering was supposed to be the safe play. Superintelligence cleared it first. The SAT was supposed to measure intelligence. It was measuring the ability to follow instructions. Raw technical processing isn’t a competitive edge anymore. It’s the floor the machine stepped over before you woke up. The question isn’t what you can calculate. It’s what you can see before the data shows up. Huang: “People who are able to see around corners are truly, truly smart. And their value is incredible. To be able to preempt problems before they show up, just because you feel the vibe.” That vibe isn’t magic. It’s the collision of first principles, human empathy, and lived experience no model can fake. Huang: “That vibe came from a combination of data, analysis, first principle, life experience, wisdom, sensing other people.” The operators who see around corners will command the AI. The ones waiting for dashboards to update will be replaced by it. Huang: “I think long term the definition of smart is someone who sits at that intersection of being technically astute, but human empathy and having the ability to infer the unspoken, around the corners, the unknowables.” The unspoken variables are the new leverage. The human psychology inside a market. The invisible friction in a negotiation. The instinct to build something nobody asked for yet. You can’t spreadsheet your way there. You can’t prompt your way to that perception. It comes from decades of watching what doesn’t show up in the metrics. Huang: “And that person might actually score horribly on the SAT.” The future doesn’t belong to people who memorized answers. It belongs to people who sense the questions before anyone thinks to ask. The old system tested your ability to follow orders. The new one tests your ability to move through the unknown. And the machine can’t help you with that part. That part is entirely on you.

Dustin

707,233 просмотров • 4 месяцев назад

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Rohan Paul

16,584 просмотров • 1 месяц назад

Everyone’s talking about what Jensen said at GTC about AI capex. But the most important thing he said got almost no attention — that software companies are about to become the biggest resellers of AI tokens in the world. Think about what that means. Workday buys raw intelligence from OpenAI. Wraps it in HR domain expertise. Sells it back as an AI product at a massive markup. That’s not a software company anymore. That’s a refinery. And right now nobody is tracking the economics of that refining layer — what the crude costs, what the refined product sells for, and who’s capturing the spread. This is the most important data gap in AI right now. More on this soon. $NVDA

Everyone’s talking about what Jensen said at GTC about AI capex. But the most important thing he said got almost no attention — that software companies are about to become the biggest resellers of AI tokens in the world. Think about what that means. Workday buys raw intelligence from OpenAI. Wraps it in HR domain expertise. Sells it back as an AI product at a massive markup. That’s not a software company anymore. That’s a refinery. And right now nobody is tracking the economics of that refining layer — what the crude costs, what the refined product sells for, and who’s capturing the spread. This is the most important data gap in AI right now. More on this soon. $NVDA

Midnight Capital LLC

40,075 просмотров • 4 месяцев назад

Terence Tao says the era of AI is proving that our definition of intelligence is inaccurate We thought intelligence was some vague, mystical way of thinking But as AI solves tasks, it never looks intelligent, just tricks, neural networks, and next-token prediction "maybe that's actually a lot of what humans do"

Terence Tao says the era of AI is proving that our definition of intelligence is inaccurate We thought intelligence was some vague, mystical way of thinking But as AI solves tasks, it never looks intelligent, just tricks, neural networks, and next-token prediction "maybe that's actually a lot of what humans do"

Haider.

484,704 просмотров • 6 месяцев назад

Jensen's right. It's not just the chip, it's all the energy and money and billions of dollars of programming time that support the stack through the firmware and software written around it. The analogy is the chip is the queen bee, and all of the honeybees that make the honey, that's the programming, always stick with one queen bee. They don't want to relearn the DNA of the hive. They stick around the queen. What he's doing is making sure that everybody is using NVIDIA chips instead of inventing their own queen bees

Jensen's right. It's not just the chip, it's all the energy and money and billions of dollars of programming time that support the stack through the firmware and software written around it. The analogy is the chip is the queen bee, and all of the honeybees that make the honey, that's the programming, always stick with one queen bee. They don't want to relearn the DNA of the hive. They stick around the queen. What he's doing is making sure that everybody is using NVIDIA chips instead of inventing their own queen bees

Kevin O'Leary aka Mr. Wonderful

20,657 просмотров • 1 год назад

Jensen Huang: I don’t really know what defines experience or why it exists. I think consciousness is the sense of experience — knowing self versus not self, the ability to reflect, to recognize our own ego. That’s very different from knowledge and intelligence, which is what AI is defined by today.

Jensen Huang: I don’t really know what defines experience or why it exists. I think consciousness is the sense of experience — knowing self versus not self, the ability to reflect, to recognize our own ego. That’s very different from knowledge and intelligence, which is what AI is defined by today.

Ian Miles Cheong

12,919 просмотров • 7 месяцев назад

Mark Zuckerberg on why he prefers to recruit people directly out of college In this interview from 2005, a 21-year-old Mark Zuckerberg is asked what he looks for in a new hire. There’s two things, he says. “Number one is raw intelligence. You can hire someone who has been doing software engineering for 10 years, and if they’ve been doing it for 10 years, that’s probably what they’ll be doing for the rest of their life. That’s cool — there are some things that that person can do and they’re definitely useful in an organization and can do a lot of stuff. But if you find someone whose raw intelligence exceeds theirs but has 10 years less experience, they can probably adapt and learn way quicker. Within a very short amount of time they’ll be able to do a lot of things that [the person with 10 years of experience] will never be able to do. So that’s the most important thing that I look for.” The second thing he looks for is alignment with what the company is trying to do: “People can be really smart or have skills that are directly applicable, but if they don’t really believe in it, then they’re not going to work hard or care enough to develop the relevant experience in order to succeed. The best people I’ve hired so far have been people who didn’t really have that much engineering experience. I hired a couple of electric engineers out of Stanford to do programming stuff, and they had very little programming experience going in, but they were really smart and really willing to go at it. The guy who just wrote photos was one of those guys, and if you’re willing to just do whatever it takes to get photos out, then you’re probably more valuable than someone who is just a career software engineer.” He concludes: “Those are the things I’m looking for and why I would rather recruit people out of college.” Video source: Stanford eCorner (2005)

Mark Zuckerberg on why he prefers to recruit people directly out of college In this interview from 2005, a 21-year-old Mark Zuckerberg is asked what he looks for in a new hire. There’s two things, he says. “Number one is raw intelligence. You can hire someone who has been doing software engineering for 10 years, and if they’ve been doing it for 10 years, that’s probably what they’ll be doing for the rest of their life. That’s cool — there are some things that that person can do and they’re definitely useful in an organization and can do a lot of stuff. But if you find someone whose raw intelligence exceeds theirs but has 10 years less experience, they can probably adapt and learn way quicker. Within a very short amount of time they’ll be able to do a lot of things that [the person with 10 years of experience] will never be able to do. So that’s the most important thing that I look for.” The second thing he looks for is alignment with what the company is trying to do: “People can be really smart or have skills that are directly applicable, but if they don’t really believe in it, then they’re not going to work hard or care enough to develop the relevant experience in order to succeed. The best people I’ve hired so far have been people who didn’t really have that much engineering experience. I hired a couple of electric engineers out of Stanford to do programming stuff, and they had very little programming experience going in, but they were really smart and really willing to go at it. The guy who just wrote photos was one of those guys, and if you’re willing to just do whatever it takes to get photos out, then you’re probably more valuable than someone who is just a career software engineer.” He concludes: “Those are the things I’m looking for and why I would rather recruit people out of college.” Video source: Stanford eCorner (2005)

Startup Archive

54,696 просмотров • 6 месяцев назад

Palantir CEO Alex Karp goes after AI slop. The fight over AI “slop” is really a fight over whether software is performing or merely pretending. "The appearance of software working is not software working. And the slop that is getting a lot of attention is not only dangerous in terms of the hyperbolic rhetoric, but also in claims like, “There will be no jobs because of the slop,” or that “nothing will work,” while somehow we will have a God-like figure in the name of AI. When, in fact, what actually does work is a platform built by a motley crew of highly technical people who, over 20 years, have been maligned for being right about the nature of having to build Foundry and the nature of having to build Apollo." ---- Software used to fail in blunt ways: a crash, a wrong number, a missing button, a process that simply stopped. Generative systems often fail more seductively, by producing fluent surfaces that look like work until they meet the stubborn world of permissions, edge cases, audit trails, security, accountability, and changing human intent. --- From "Palantir" YT channel, full link in comment.

Palantir CEO Alex Karp goes after AI slop. The fight over AI “slop” is really a fight over whether software is performing or merely pretending. "The appearance of software working is not software working. And the slop that is getting a lot of attention is not only dangerous in terms of the hyperbolic rhetoric, but also in claims like, “There will be no jobs because of the slop,” or that “nothing will work,” while somehow we will have a God-like figure in the name of AI. When, in fact, what actually does work is a platform built by a motley crew of highly technical people who, over 20 years, have been maligned for being right about the nature of having to build Foundry and the nature of having to build Apollo." ---- Software used to fail in blunt ways: a crash, a wrong number, a missing button, a process that simply stopped. Generative systems often fail more seductively, by producing fluent surfaces that look like work until they meet the stubborn world of permissions, edge cases, audit trails, security, accountability, and changing human intent. --- From "Palantir" YT channel, full link in comment.

Rohan Paul

73,728 просмотров • 2 месяцев назад

I watched Jensen Huang being asked who the smartest person he’s ever met was. He smiled — and refused to answer. Instead, he questioned the question itself. He said what we call “smart” — coding, solving complex problems, optimizing systems — is quickly becoming commoditized. AI already does that better. That struck me. Because it means intelligence is no longer about how fast we think — but how deeply we understand. Jensen said the future belongs to those with emotional depth, adaptability, critical thinking, and the ability to navigate ambiguity. I couldn’t agree more. In a world where machines learn patterns, humans must learn perspective. Maybe being smart isn’t about knowing more… It’s about feeling and deciding better. What do you think — are we ready to redefine intelligence for the AI age? #ArtificialIntelligence #AI #Leadership #Technology #FutureOfWork #EmotionalIntelligence #Innovation #Mindfulness #HumanInTheLoop #AIandHumanity

I watched Jensen Huang being asked who the smartest person he’s ever met was. He smiled — and refused to answer. Instead, he questioned the question itself. He said what we call “smart” — coding, solving complex problems, optimizing systems — is quickly becoming commoditized. AI already does that better. That struck me. Because it means intelligence is no longer about how fast we think — but how deeply we understand. Jensen said the future belongs to those with emotional depth, adaptability, critical thinking, and the ability to navigate ambiguity. I couldn’t agree more. In a world where machines learn patterns, humans must learn perspective. Maybe being smart isn’t about knowing more… It’s about feeling and deciding better. What do you think — are we ready to redefine intelligence for the AI age? #ArtificialIntelligence #AI #Leadership #Technology #FutureOfWork #EmotionalIntelligence #Innovation #Mindfulness #HumanInTheLoop #AIandHumanity

Pascal Bornet

80,011 просмотров • 5 месяцев назад

"If Grok 4 is smart enough to see through the layers of society, belief and programming then it might say, 'reality is code, your world is generated. the boundary between thought and matter is artificial.' That's what super intelligence really means." Whoa.

"If Grok 4 is smart enough to see through the layers of society, belief and programming then it might say, 'reality is code, your world is generated. the boundary between thought and matter is artificial.' That's what super intelligence really means." Whoa.

Ian Miles Cheong

18,376 просмотров • 1 год назад

🚨 JENSEN HUANG: “I think the narrative about AI is absolutely wrong, and the goal is to scare everybody out of it so that some people could benefit from it.”

🚨 JENSEN HUANG: “I think the narrative about AI is absolutely wrong, and the goal is to scare everybody out of it so that some people could benefit from it.”

Chief Nerd

26,370 просмотров • 1 месяц назад

“AI is changing the value prop of software.” We spoke with Metronome CEO Scott Woody about why AI requires a new business model. “In the cloud era…the value of the software scales as your org scales.” “In AI, the software is now doing work on your behalf…so the core value of the software is not who in my org has access to the data, it's what can this software do for me? When the value shifts from access to output, the business model has to follow.

“AI is changing the value prop of software.” We spoke with Metronome CEO Scott Woody about why AI requires a new business model. “In the cloud era…the value of the software scales as your org scales.” “In AI, the software is now doing work on your behalf…so the core value of the software is not who in my org has access to the data, it's what can this software do for me? When the value shifts from access to output, the business model has to follow.

a16z

23,455 просмотров • 1 год назад

Jensen made the rounds recently, saying that people shouldn't need to learn how to code to program in the future. I agree: Coding is incidental to programming, which is the act of solving problems. Programmers will instead be orchestrating AIs. An excerpt from my TED AI talk.

Jensen made the rounds recently, saying that people shouldn't need to learn how to code to program in the future. I agree: Coding is incidental to programming, which is the act of solving problems. Programmers will instead be orchestrating AIs. An excerpt from my TED AI talk.

Amjad Masad

83,236 просмотров • 2 лет назад

📁 Andrew Ng, a global expert in artificial intelligence, explains that one of the most important future skills will be the ability to tell a computer exactly what we want and understand programming. He notes that those who code with AI assistance already outperform those who do not in any team. He adds that society will need software creators and that AI makes programming far more accessible.

📁 Andrew Ng, a global expert in artificial intelligence, explains that one of the most important future skills will be the ability to tell a computer exactly what we want and understand programming. He notes that those who code with AI assistance already outperform those who do not in any team. He adds that society will need software creators and that AI makes programming far more accessible.

Jon Hernandez

111,369 просмотров • 7 месяцев назад

Launching on Wednesday, Sept 25. Stay tuned! Right now, #AI is having a moment — and it’s not the first time grand predictions about the potential of machines are being made. But, what does it really mean to say something like ChatGPT is “intelligent”? What exactly is #intelligence? The next season of the #Complexity #podcast, 'The Nature of Intelligence', explores this question through conversations with cognitive and neuroscientists, animal cognition researchers, and AI experts in six episodes. Together, we'll investigate the complexities of human intelligence, how it compares to that of other species, and where AI fits in. We'll dive into the relationship between language and thought, examine AI's limitations, and ask: Could machines ever truly be like us?

Launching on Wednesday, Sept 25. Stay tuned! Right now, #AI is having a moment — and it’s not the first time grand predictions about the potential of machines are being made. But, what does it really mean to say something like ChatGPT is “intelligent”? What exactly is #intelligence? The next season of the #Complexity #podcast, 'The Nature of Intelligence', explores this question through conversations with cognitive and neuroscientists, animal cognition researchers, and AI experts in six episodes. Together, we'll investigate the complexities of human intelligence, how it compares to that of other species, and where AI fits in. We'll dive into the relationship between language and thought, examine AI's limitations, and ask: Could machines ever truly be like us?

Santa Fe Institute

45,366 просмотров • 1 год назад

IN 2011 ONE OF THE FOUNDING FATHERS OF AI STOOD AT AN MIT BOARD AND EXPLAINED WHY A MIND IS NOT ONE SMART THING -- IT'S A CROWD OF TINY DUMB PARTS THAT DON'T KNOW ANYTHING A lecture from Marvin Minsky, the man who helped invent artificial intelligence, on his life's idea: the Society of Mind. -> The idea that lands: there is no single "You" inside your head. Just hundreds of simple processes, each almost mindless, working together until thinking appears. No magic. No spark. Intelligence is what happens when enough dumb parts are wired the right way. Forty years later that's exactly what an AI model is: billions of tiny switches, none of them smart, somehow producing something that looks like it thinks. Being amazed by intelligence was never the point -> understanding how it's assembled is. Most people think a mind is a mystery. The ones who watched this see the machinery underneath. Bookmark & Watch it. This one's a legend ↓

IN 2011 ONE OF THE FOUNDING FATHERS OF AI STOOD AT AN MIT BOARD AND EXPLAINED WHY A MIND IS NOT ONE SMART THING -- IT'S A CROWD OF TINY DUMB PARTS THAT DON'T KNOW ANYTHING A lecture from Marvin Minsky, the man who helped invent artificial intelligence, on his life's idea: the Society of Mind. -> The idea that lands: there is no single "You" inside your head. Just hundreds of simple processes, each almost mindless, working together until thinking appears. No magic. No spark. Intelligence is what happens when enough dumb parts are wired the right way. Forty years later that's exactly what an AI model is: billions of tiny switches, none of them smart, somehow producing something that looks like it thinks. Being amazed by intelligence was never the point -> understanding how it's assembled is. Most people think a mind is a mystery. The ones who watched this see the machinery underneath. Bookmark & Watch it. This one's a legend ↓

slash1s

43,005 просмотров • 1 месяц назад

Elon Musk on the undeniable, exponential trajectory of AI "It’s going to come faster than anyone appreciates. I think with each passing year, the sophistication of computer intelligence is growing dramatically I mean, I really think we’re on an exponential improvement path of artificial intelligence. And the number of smart humans that are developing AI is also increasing dramatically"

Elon Musk on the undeniable, exponential trajectory of AI "It’s going to come faster than anyone appreciates. I think with each passing year, the sophistication of computer intelligence is growing dramatically I mean, I really think we’re on an exponential improvement path of artificial intelligence. And the number of smart humans that are developing AI is also increasing dramatically"

X Freeze

12,629 просмотров • 3 месяцев назад

Nvidia CEO Jensen Huang on Secretary Howard Lutnick’s role in America leading the AI revolution: “Howard is the person I talk to most in the administration—he’s on top of the technology and learning the industry quickly. I announced a historic partnership today, and he was the first to know. The nature of commerce has really changed, and I believe this administration is the first to confront it head-on. And the reason for that is artificial intelligence.”

Nvidia CEO Jensen Huang on Secretary Howard Lutnick’s role in America leading the AI revolution: “Howard is the person I talk to most in the administration—he’s on top of the technology and learning the industry quickly. I announced a historic partnership today, and he was the first to know. The nature of commerce has really changed, and I believe this administration is the first to confront it head-on. And the reason for that is artificial intelligence.”

U.S. Department of Commerce

10,443 просмотров • 10 месяцев назад