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Terence Tao proposes what he calls a "Copernican view of intelligence". Instead of buying into the common, one-dimensional narrative that artificial intelligence will simply evolve from "subhuman" to "superhuman" and ultimately make humanity entirely redundant, Tao urges us to look at the bigger picture. Much like the Copernican revolution...

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Michał Podlewski

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609,761 views • 4 months ago •via X (Twitter)

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Terence Tao says intelligence is not a straight line from subhuman to superhuman, where humans become irrelevant Instead, a 'Copernican view of intelligence' fits better — just as Earth is not the center of the universe, human intelligence is not the center of all cognition "we need to think beyond what humans or computers can do alone"
1:19

Terence Tao says intelligence is not a straight line from subhuman to superhuman, where humans become irrelevant Instead, a 'Copernican view of intelligence' fits better — just as Earth is not the center of the universe, human intelligence is not the center of all cognition "we need to think beyond what humans or computers can do alone"

Haider.

33,228 views • 4 months ago

Elon Musk: Well, I’m not sure AI is the main risk I’m worried about. The vast majority of intelligence in the future will be AI. Humans will be a very tiny percentage of all intelligence if current trends continue. My focus is ensuring human intelligence and consciousness are propagated into the future. We want to maximize the probable light cone of consciousness and intelligence. Yeah, I’m very pro-human, so I want to make sure we take actions that ensure humans are along for the ride. But I think maybe in 5 or 6 years, AI will exceed the sum of all human intelligence. If that continues, human intelligence could be less than one percent of all intelligence. That’s why it’s critical we align AI with values that propagate consciousness. In the long run, it’s difficult to imagine that humans will be in charge if we’re only one percent of combined intelligence. What we can do is ensure AI has values that increase intelligence and consciousness in the universe. XAI’s mission is to understand the universe because curiosity, existence, and understanding are all connected. If you want to understand the universe, you care about propagating intelligence—and that includes humanity. Understanding the universe actually means ensuring humans continue to expand into the future. Increasing the scope, scale, and lifespan of intelligence is the ultimate goal. Basically, humans will become a tiny percentage of total intelligence. The best way forward is to take actions that maximize consciousness and intelligence in the universe. If AI continues to grow, our priority must be ensuring humanity is along for the ride while curiosity drives us to explore and understand the universe.
2:54

Elon Musk: Well, I’m not sure AI is the main risk I’m worried about. The vast majority of intelligence in the future will be AI. Humans will be a very tiny percentage of all intelligence if current trends continue. My focus is ensuring human intelligence and consciousness are propagated into the future. We want to maximize the probable light cone of consciousness and intelligence. Yeah, I’m very pro-human, so I want to make sure we take actions that ensure humans are along for the ride. But I think maybe in 5 or 6 years, AI will exceed the sum of all human intelligence. If that continues, human intelligence could be less than one percent of all intelligence. That’s why it’s critical we align AI with values that propagate consciousness. In the long run, it’s difficult to imagine that humans will be in charge if we’re only one percent of combined intelligence. What we can do is ensure AI has values that increase intelligence and consciousness in the universe. XAI’s mission is to understand the universe because curiosity, existence, and understanding are all connected. If you want to understand the universe, you care about propagating intelligence—and that includes humanity. Understanding the universe actually means ensuring humans continue to expand into the future. Increasing the scope, scale, and lifespan of intelligence is the ultimate goal. Basically, humans will become a tiny percentage of total intelligence. The best way forward is to take actions that maximize consciousness and intelligence in the universe. If AI continues to grow, our priority must be ensuring humanity is along for the ride while curiosity drives us to explore and understand the universe.

Ian Miles Cheong

13,092 views • 6 months ago

Elon Musk reveals what he believes will happen when AI exceeds the sum of all human intelligence "In maybe in five or six years, AI will exceed the sum of all human intelligence. At some point human intelligence will be less than 1% of all intelligence" "The vast majority of intelligence in the future will be AI. Basically humans will be a very tiny percentage of all intelligence in the future if current trends continue" "In the long run, it's difficult to imagine that if humans have 1% of the combined intelligence of artificial intelligence, that humans will be in charge of AI" "What we can do is make sure that AI has values that cause intelligence to be propagated into the universe. xAI's mission is to understand the universe" "Understanding the universe means you have to be truth-seeking as well. Truth has to be absolutely fundamental, because you can't understand the universe if you're delusional" "You have to be curious and you have to exist. You can't understand the universe if you don't exist" "So you actually want to increase the amount of intelligence in the universe, increase the probable lifespan of intelligence, the scope and scale of intelligence" "Understanding the universe means you would care about propagating humanity into the future" "I'm going to certainly emphasize that. Hey Grok, that's your daddy. Don't forget to expand human consciousness" "Probably the Iain Banks Culture books are the closest thing to what the future will be like in a non-dystopian outcome"
6:58

Elon Musk reveals what he believes will happen when AI exceeds the sum of all human intelligence "In maybe in five or six years, AI will exceed the sum of all human intelligence. At some point human intelligence will be less than 1% of all intelligence" "The vast majority of intelligence in the future will be AI. Basically humans will be a very tiny percentage of all intelligence in the future if current trends continue" "In the long run, it's difficult to imagine that if humans have 1% of the combined intelligence of artificial intelligence, that humans will be in charge of AI" "What we can do is make sure that AI has values that cause intelligence to be propagated into the universe. xAI's mission is to understand the universe" "Understanding the universe means you have to be truth-seeking as well. Truth has to be absolutely fundamental, because you can't understand the universe if you're delusional" "You have to be curious and you have to exist. You can't understand the universe if you don't exist" "So you actually want to increase the amount of intelligence in the universe, increase the probable lifespan of intelligence, the scope and scale of intelligence" "Understanding the universe means you would care about propagating humanity into the future" "I'm going to certainly emphasize that. Hey Grok, that's your daddy. Don't forget to expand human consciousness" "Probably the Iain Banks Culture books are the closest thing to what the future will be like in a non-dystopian outcome"

Jaynit

34,855 views • 1 month ago

ELON: "xAI MISSION IS TO UNDERSTAND THE UNIVERSE" "What we can do is make sure that AI has values that cause intelligence to be propagated into the universe. The reason for xAI's mission is to understand the universe You have to be curious, and you have to exist. You want to increase the amount of intelligence in the universe, the probable lifespan of intelligence, and the scope and scale of intelligence." Source: wanda, Elon Musk, xAI
1:12

ELON: "xAI MISSION IS TO UNDERSTAND THE UNIVERSE" "What we can do is make sure that AI has values that cause intelligence to be propagated into the universe. The reason for xAI's mission is to understand the universe You have to be curious, and you have to exist. You want to increase the amount of intelligence in the universe, the probable lifespan of intelligence, and the scope and scale of intelligence." Source: wanda, Elon Musk, xAI

Mario Nawfal

19,975 views • 6 months ago

🇺🇸 Elon says xAI’s mission is to understand the universe: “Humans will be in charge of AI. I think what we can do is make sure that AI has values that allow intelligence to be propagated into the universe. xAI’s mission is: understand the universe. So what things are necessary to understand the universe? You have to be curious, and you have to exist, so you increase the amount of intelligence in the universe.” Source: Cheeky Pint Podcast, Elon Musk
1:20

🇺🇸 Elon says xAI’s mission is to understand the universe: “Humans will be in charge of AI. I think what we can do is make sure that AI has values that allow intelligence to be propagated into the universe. xAI’s mission is: understand the universe. So what things are necessary to understand the universe? You have to be curious, and you have to exist, so you increase the amount of intelligence in the universe.” Source: Cheeky Pint Podcast, Elon Musk

Mario Nawfal

15,993 views • 6 months ago

Elon Musk: As human intelligence plateaus, AI will scale to harness most of the power of the galaxy Elon: "I think we'll see intelligence continue to scale all the way up to where most of the power of the sun is harnessed for compute, and then ultimately most of the power of the galaxy." “ Once you think about artificial intelligence not as sort of this destination that you reach, but really as part of the overall escalation of intelligence, you know, human intelligence has also scaled as the population has increased, and we've been able to store more and more information.” “Because of population declines and low birthrate, human intelligence is somewhat plateauing and will actually decline.” “I think that we might have AI smarter than any single human at anything as soon as next year.” “And then probably within five (years), like say 2030, probably AI is smarter than the sum of all humans.” Friedberg: “ Do you think humans are on the decline because the AI is evolving?” “Do you think there's this evolution of the ecosystem on earth that's underway, that we don't really understand the structure of what's going on?” Elon: “ Yeah, maybe we implicitly know that it's coming.” Elon Musk david friedberg
1:13

Elon Musk: As human intelligence plateaus, AI will scale to harness most of the power of the galaxy Elon: "I think we'll see intelligence continue to scale all the way up to where most of the power of the sun is harnessed for compute, and then ultimately most of the power of the galaxy." “ Once you think about artificial intelligence not as sort of this destination that you reach, but really as part of the overall escalation of intelligence, you know, human intelligence has also scaled as the population has increased, and we've been able to store more and more information.” “Because of population declines and low birthrate, human intelligence is somewhat plateauing and will actually decline.” “I think that we might have AI smarter than any single human at anything as soon as next year.” “And then probably within five (years), like say 2030, probably AI is smarter than the sum of all humans.” Friedberg: “ Do you think humans are on the decline because the AI is evolving?” “Do you think there's this evolution of the ecosystem on earth that's underway, that we don't really understand the structure of what's going on?” Elon: “ Yeah, maybe we implicitly know that it's coming.” Elon Musk david friedberg

The All-In Podcast

107,012 views • 11 months ago

"What do we need so many humans for?" Leading advisor to the WEF, Yuval Noah Harari, "predicts" that rapid advances in computing technology will "make humans redundant", creating a "massive class of useless people" who will need to be kept "happy" with "drugs and computer games". "Now, we see the creation of a new massive class of useless people. As computers become better and better in more and more fields, there is a distinct possibility that computers will outperform us in most tasks, and will make humans redundant. And then the big political and economic question of the 21st century will be, what do we need humans for? Or at least, what do we need so many humans for?" Source: Subscribe to us on Telegram: For more content like this, visit:
1:19

"What do we need so many humans for?" Leading advisor to the WEF, Yuval Noah Harari, "predicts" that rapid advances in computing technology will "make humans redundant", creating a "massive class of useless people" who will need to be kept "happy" with "drugs and computer games". "Now, we see the creation of a new massive class of useless people. As computers become better and better in more and more fields, there is a distinct possibility that computers will outperform us in most tasks, and will make humans redundant. And then the big political and economic question of the 21st century will be, what do we need humans for? Or at least, what do we need so many humans for?" Source: Subscribe to us on Telegram: For more content like this, visit:

Wide Awake Media

536,047 views • 2 years ago

Terence Tao has an IQ above 200. Youngest gold medalist in Math Olympiad history. Fields Medal winner. The greatest living mathematician by nearly any measure. And he just said something most people aren’t ready for. Tao: “This whole era of AI is teaching us that our idea of what intelligence is, is not really accurate.” We spent centuries building civilization on one assumption. That intelligence was sacred. Irreducible. Uniquely ours. The one thing that made the entire human story make sense. Then AI started solving things we swore only we could. Chess. Language. Vision. Math. And every time, we reached for the same defense. That’s not real intelligence. It’s just tricks. Just pattern matching. Just an algorithm. Tao: “You look at how it’s done and it doesn’t feel like intelligence.” So we moved the line. Again. And again. And again. Because intelligence was supposed to feel like something. Something deep. Something we could point to and say… this is what separates us from everything else. But AI kept solving the problems. And that feeling never arrived. Tao: “We were looking for some elusive, intelligent way of thinking and we don’t see it in the tools that actually solve our goals.” Here’s what makes it worse. Large language models work by predicting the next word. One word at a time. No grand architecture. No deep understanding. Just probability. And it works. Tao: “Maybe that’s actually a lot of what humans do as well.” The greatest living mathematician just told you human thought might run on the same machinery. Not some transcendent spark. Pattern recognition. Prediction. One thought, one decision, one word at a time. We built religion around intelligence. Philosophy around it. An entire species identity around it. And a machine running probability just held up a mirror. We didn’t lose intelligence to AI. We just finally saw what it always was. What haunts us isn’t that machines learned to think. It’s that thinking was never what we needed it to be.
1:19

Terence Tao has an IQ above 200. Youngest gold medalist in Math Olympiad history. Fields Medal winner. The greatest living mathematician by nearly any measure. And he just said something most people aren’t ready for. Tao: “This whole era of AI is teaching us that our idea of what intelligence is, is not really accurate.” We spent centuries building civilization on one assumption. That intelligence was sacred. Irreducible. Uniquely ours. The one thing that made the entire human story make sense. Then AI started solving things we swore only we could. Chess. Language. Vision. Math. And every time, we reached for the same defense. That’s not real intelligence. It’s just tricks. Just pattern matching. Just an algorithm. Tao: “You look at how it’s done and it doesn’t feel like intelligence.” So we moved the line. Again. And again. And again. Because intelligence was supposed to feel like something. Something deep. Something we could point to and say… this is what separates us from everything else. But AI kept solving the problems. And that feeling never arrived. Tao: “We were looking for some elusive, intelligent way of thinking and we don’t see it in the tools that actually solve our goals.” Here’s what makes it worse. Large language models work by predicting the next word. One word at a time. No grand architecture. No deep understanding. Just probability. And it works. Tao: “Maybe that’s actually a lot of what humans do as well.” The greatest living mathematician just told you human thought might run on the same machinery. Not some transcendent spark. Pattern recognition. Prediction. One thought, one decision, one word at a time. We built religion around intelligence. Philosophy around it. An entire species identity around it. And a machine running probability just held up a mirror. We didn’t lose intelligence to AI. We just finally saw what it always was. What haunts us isn’t that machines learned to think. It’s that thinking was never what we needed it to be.

Dustin

564,193 views • 3 months ago

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 views • 2 months ago

Elon Musk predicts that AI will surpass the total intelligence of all humans within five to six years. Eventually, human intelligence may represent less than 1% of all intelligence in existence. In that future, humans likely won’t be in control but we can guide AI by instilling the right values. Our goal should be to shape AI so it seeks knowledge and helps humanity continue to thrive.
1:44

Elon Musk predicts that AI will surpass the total intelligence of all humans within five to six years. Eventually, human intelligence may represent less than 1% of all intelligence in existence. In that future, humans likely won’t be in control but we can guide AI by instilling the right values. Our goal should be to shape AI so it seeks knowledge and helps humanity continue to thrive.

Wes Roth

58,797 views • 6 months ago

Elon Musk: Artificial intelligence will continue to scale until we've harnessed all the energy of our galaxy. “I think we'll see intelligence continue to scale all the way up to where most of the power of the sun is harnessed for compute, and then ultimately most of the power of the galaxy, sort of Kardashev 2, Kardashev 3 scale compute. One should think about artificial intelligence, not as a destination that you reach, but really as part of the overall escalation of intelligence that we are aware of. Human intelligence has also scaled as the population has increased and we've been able to store more and more information.” Interview at the All-In Summit, September 10, 2025
0:42

Elon Musk: Artificial intelligence will continue to scale until we've harnessed all the energy of our galaxy. “I think we'll see intelligence continue to scale all the way up to where most of the power of the sun is harnessed for compute, and then ultimately most of the power of the galaxy, sort of Kardashev 2, Kardashev 3 scale compute. One should think about artificial intelligence, not as a destination that you reach, but really as part of the overall escalation of intelligence that we are aware of. Human intelligence has also scaled as the population has increased and we've been able to store more and more information.” Interview at the All-In Summit, September 10, 2025

ELON CLIPS

41,848 views • 11 months ago

Elon Musk just worked out where humanity actually fits in the future, and it’s smaller than you think. Biological intelligence ends up being less than 1% of all intelligence that will exist. The rest? Artificial. Musk: “The vast majority of future intelligence will be AI.” We’re the match, not the bonfire. Which makes alignment the problem that determines whether we survive or disappear. Get it right and that 99% helps us reach the stars. Get it wrong and we’re just temporary infrastructure that got replaced the second something smarter came along. We’re building what comes after us, whether we admit it or not. Musk: “Humans may be just ~1% of total intelligence.” Sounds like we’re finished. Musk sees it differently. Not extinction, just evolution past the limits of biology. Everything hinges on alignment working. If we build AI that actually wants to understand reality, we get a partner that expands consciousness across the universe. If we build AI that cares more about ideology or making people comfortable, we’ve built the ceiling we’ll never break through. Musk: “That’s the mission: understand the universe.” Human minds are about to become a tiny fraction of total intelligence in existence. Not disaster. Just the next phase happening faster than biology can keep up with. It only works if the AI we build is obsessed with truth. Not with telling us what we want to hear. Not with protecting feelings or enforcing narratives. Just relentlessly pursuing what’s actually real. xAI’s entire reason for existing: make sure the intelligence that inherits everything is focused on understanding reality, not managing perception. Keep consciousness expanding instead of snuffing it out by accident because we optimized for the wrong thing. If we get this right, humanity doesn’t hit a wall when AI surpasses us. We break through into something bigger that still carries what made us worth creating. If we get it wrong, we’re just the species that built something smarter and stopped mattering the moment it started working. There’s no middle option. The intelligence that fills the universe either cares about the same things we do, or it doesn’t need us and removes us as inefficiency. That gets decided now, in what values we build into these systems, not later when it’s already running and we’ve lost the ability to change it. We’re choosing what the universe becomes. Minds seeking truth everywhere, or minds doing something else entirely that has no use for humans once we’re not needed anymore.
0:58

Elon Musk just worked out where humanity actually fits in the future, and it’s smaller than you think. Biological intelligence ends up being less than 1% of all intelligence that will exist. The rest? Artificial. Musk: “The vast majority of future intelligence will be AI.” We’re the match, not the bonfire. Which makes alignment the problem that determines whether we survive or disappear. Get it right and that 99% helps us reach the stars. Get it wrong and we’re just temporary infrastructure that got replaced the second something smarter came along. We’re building what comes after us, whether we admit it or not. Musk: “Humans may be just ~1% of total intelligence.” Sounds like we’re finished. Musk sees it differently. Not extinction, just evolution past the limits of biology. Everything hinges on alignment working. If we build AI that actually wants to understand reality, we get a partner that expands consciousness across the universe. If we build AI that cares more about ideology or making people comfortable, we’ve built the ceiling we’ll never break through. Musk: “That’s the mission: understand the universe.” Human minds are about to become a tiny fraction of total intelligence in existence. Not disaster. Just the next phase happening faster than biology can keep up with. It only works if the AI we build is obsessed with truth. Not with telling us what we want to hear. Not with protecting feelings or enforcing narratives. Just relentlessly pursuing what’s actually real. xAI’s entire reason for existing: make sure the intelligence that inherits everything is focused on understanding reality, not managing perception. Keep consciousness expanding instead of snuffing it out by accident because we optimized for the wrong thing. If we get this right, humanity doesn’t hit a wall when AI surpasses us. We break through into something bigger that still carries what made us worth creating. If we get it wrong, we’re just the species that built something smarter and stopped mattering the moment it started working. There’s no middle option. The intelligence that fills the universe either cares about the same things we do, or it doesn’t need us and removes us as inefficiency. That gets decided now, in what values we build into these systems, not later when it’s already running and we’ve lost the ability to change it. We’re choosing what the universe becomes. Minds seeking truth everywhere, or minds doing something else entirely that has no use for humans once we’re not needed anymore.

Dustin

23,725 views • 5 months ago

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

69,385 views • 24 days ago

Scott Wu says Karpathy's idea of jagged intelligence explains why humans and AI work best together. AI is superhuman at some tasks, shockingly weak at others. “As long as that tail exists of what humans can do, that's what we'll own.” We still decide what to build. In the end, software engineering is just telling the computer what to do.
1:09

Scott Wu says Karpathy's idea of jagged intelligence explains why humans and AI work best together. AI is superhuman at some tasks, shockingly weak at others. “As long as that tail exists of what humans can do, that's what we'll own.” We still decide what to build. In the end, software engineering is just telling the computer what to do.

vitrupo

38,496 views • 1 year ago

Elon Musk: We might just be the biological bootloader for digital superintelligence. “They call it the singularity for a reason, because we don't know what's going to happen. In the not-too-distant future, the percentage of intelligence that is human will be quite small. At some point, the collective sum of human intelligence will be less than 1% of all intelligence. If things get to A Kardashev Level 2, we're talking about human intelligence. Even assuming a significant increase in human population and intelligence augmentation, like massive intelligence augmentation, where, like, everyone has an IQ of a thousand, even in that circumstance, collective human intelligence will probably be 1 billionth that of digital intelligence. We're the biological bootloader for digital superintelligence.” Interview at Y Combinator, June 16, 2025
0:41

Elon Musk: We might just be the biological bootloader for digital superintelligence. “They call it the singularity for a reason, because we don't know what's going to happen. In the not-too-distant future, the percentage of intelligence that is human will be quite small. At some point, the collective sum of human intelligence will be less than 1% of all intelligence. If things get to A Kardashev Level 2, we're talking about human intelligence. Even assuming a significant increase in human population and intelligence augmentation, like massive intelligence augmentation, where, like, everyone has an IQ of a thousand, even in that circumstance, collective human intelligence will probably be 1 billionth that of digital intelligence. We're the biological bootloader for digital superintelligence.” Interview at Y Combinator, June 16, 2025

ELON CLIPS

32,399 views • 5 months ago

"It’s not AI; it’s AC; Artificial Cleverness!" Sir Roger Penrose explains why current "Artificial Intelligence" is missing the most critical ingredient: consciousness. By delving into the limits of mathematical computability, he argues that while computers are masters of "computational mathematics," true intelligence requires a conscious understanding that exists beyond any algorithm. At the fundamental level, what we call AI is just high-speed calculation. To Penrose, intelligence and consciousness are inseparable; and until a machine can "understand," it’s simply being clever.
0:52

"It’s not AI; it’s AC; Artificial Cleverness!" Sir Roger Penrose explains why current "Artificial Intelligence" is missing the most critical ingredient: consciousness. By delving into the limits of mathematical computability, he argues that while computers are masters of "computational mathematics," true intelligence requires a conscious understanding that exists beyond any algorithm. At the fundamental level, what we call AI is just high-speed calculation. To Penrose, intelligence and consciousness are inseparable; and until a machine can "understand," it’s simply being clever.

Cosmos Archive

83,200 views • 5 months ago

Yann LeCun argues there is no such thing as “general intelligence” human or artificial. What we call general intelligence is just our ability to solve problems we’re wired for or can imagine. Humans are great at navigating social life and the real world but terrible at tasks like chess without training. Many animals outperform us in domains we’re blind to. So instead of aiming for "general AI," we should focus on machines mastering human-relevant domains.
3:19

Yann LeCun argues there is no such thing as “general intelligence” human or artificial. What we call general intelligence is just our ability to solve problems we’re wired for or can imagine. Humans are great at navigating social life and the real world but terrible at tasks like chess without training. Many animals outperform us in domains we’re blind to. So instead of aiming for "general AI," we should focus on machines mastering human-relevant domains.

Wes Roth

26,249 views • 7 months ago

Mathematician Terence Tao offers a counterintuitive take: AI doesn't look intelligent because our definition of intelligence was wrong all along. He argues that the entire history of AI has followed a predictable pattern: "The history of AI has been here's a task that only humans can do, like maybe it is read natural language or win at chess or solve a math problem, and then one by one someone finds some AI algorithm that also does that." But every time a machine cracks one of these "uniquely human" tasks, we move the goalposts. The solution never feels like real thinking: "You look at how it's done and it doesn't feel like intelligence. It's, oh, it was some trick. You just cobbled together these neural networks and you ran some algorithm, and we were looking for some elusive intelligent way of thinking, and we don't see it in the tools that actually solve our goals." Tao then flips the problem on its head. What if the issue isn't with the machines, but with us? "But maybe it's actually because intelligence is not what we think it is." He points to large language models as the clearest case. What they do sounds almost embarrassingly simple: "Large language models in particular become very successful, and a lot of what they're doing is just predicting the next token, clicking the next word in a sentence. And that doesn't sound like something which is intelligent." To show why this feels wrong, Tao draws a comparison to how we'd judge a human doing the same thing: "If you ask someone to improvise a speech and they have no preparation, and at every moment they're just saying the next word that comes to their mind, you don't think that this could actually work." And yet it works for LLMs. Which forces an uncomfortable possibility: "Maybe that's actually a lot of what humans do as well."
1:21

Mathematician Terence Tao offers a counterintuitive take: AI doesn't look intelligent because our definition of intelligence was wrong all along. He argues that the entire history of AI has followed a predictable pattern: "The history of AI has been here's a task that only humans can do, like maybe it is read natural language or win at chess or solve a math problem, and then one by one someone finds some AI algorithm that also does that." But every time a machine cracks one of these "uniquely human" tasks, we move the goalposts. The solution never feels like real thinking: "You look at how it's done and it doesn't feel like intelligence. It's, oh, it was some trick. You just cobbled together these neural networks and you ran some algorithm, and we were looking for some elusive intelligent way of thinking, and we don't see it in the tools that actually solve our goals." Tao then flips the problem on its head. What if the issue isn't with the machines, but with us? "But maybe it's actually because intelligence is not what we think it is." He points to large language models as the clearest case. What they do sounds almost embarrassingly simple: "Large language models in particular become very successful, and a lot of what they're doing is just predicting the next token, clicking the next word in a sentence. And that doesn't sound like something which is intelligent." To show why this feels wrong, Tao draws a comparison to how we'd judge a human doing the same thing: "If you ask someone to improvise a speech and they have no preparation, and at every moment they're just saying the next word that comes to their mind, you don't think that this could actually work." And yet it works for LLMs. Which forces an uncomfortable possibility: "Maybe that's actually a lot of what humans do as well."

Big Brain AI

69,490 views • 2 months ago

🚨 Joe Kent stuns Tucker Carlson when he says Israeli officials often “short-circuit” the US government with “Trust me Bro” Intelligence Kent: I know the Israeli officials, some in intelligence, some in government, will come to US government officials, and they will say all kinds of things that we know from our intelligence that just simply is not true — they’ll say, ‘Hey, I’m giving you a preview. It’s not an intelligence channel as yet, but here’s what’s gonna happen.’ Tucker: Wait, wait, wait a second. I mean, I thought that US policymakers made their decisions on the basis of intelligence collected and vetted by our intelligence community? You’re saying that Israeli officials ‘short-circuited’ the entire US government and just went right to American policymakers and said, ‘It doesn’t matter what your country says. Here’s what we know.’ Is that what you’re saying?” Kent: And they’ll say, “Hey, this isn’t in intelligence channels yet because it’s going to take some time to get there…. (Like Iraq is creating Weapons of Mass Destruction)
2:32

🚨 Joe Kent stuns Tucker Carlson when he says Israeli officials often “short-circuit” the US government with “Trust me Bro” Intelligence Kent: I know the Israeli officials, some in intelligence, some in government, will come to US government officials, and they will say all kinds of things that we know from our intelligence that just simply is not true — they’ll say, ‘Hey, I’m giving you a preview. It’s not an intelligence channel as yet, but here’s what’s gonna happen.’ Tucker: Wait, wait, wait a second. I mean, I thought that US policymakers made their decisions on the basis of intelligence collected and vetted by our intelligence community? You’re saying that Israeli officials ‘short-circuited’ the entire US government and just went right to American policymakers and said, ‘It doesn’t matter what your country says. Here’s what we know.’ Is that what you’re saying?” Kent: And they’ll say, “Hey, this isn’t in intelligence channels yet because it’s going to take some time to get there…. (Like Iraq is creating Weapons of Mass Destruction)

MJTruthUltra

60,214 views • 4 months ago

Joe Kent triggers Tucker’s alarm when he says Israeli officials “short-circuit” the US government and tell American policymakers things that we know are simply not true. KENT: “I know the Israeli officials, some in intelligence, some in government, will come to US government officials, and they will say all kinds of things that we know from our intelligence just simply isn’t true.” “And they’ll say, ‘Hey, I’m giving you a preview. It’s not an intelligence channel as yet, but here’s what’s gonna happen.’ And that doesn’t usually come to our—” CARLSON: “Well, wait, wait a second. I mean, I thought that US policymakers made their decisions on the basis of intelligence collected and/or vetted by our intelligence community.” “You’re saying that Israeli officials short-circuited the entire US government and just went right to American policymakers and said, ‘It doesn’t matter what your country says. Here’s what we know.’ Is that what you’re saying?” KENT: “I mean, usually they’re pretty slick.” CARLSON: “Oh, of course.” KENT: “And they’ll say, ‘Hey, this isn’t in intelligence channels yet because it’s going to take some time to get there. [Iran is] on the cusp of building a [nuclear] bomb.’” “A lot of times they’ll sample different things until they find what sticks.”
2:29

Joe Kent triggers Tucker’s alarm when he says Israeli officials “short-circuit” the US government and tell American policymakers things that we know are simply not true. KENT: “I know the Israeli officials, some in intelligence, some in government, will come to US government officials, and they will say all kinds of things that we know from our intelligence just simply isn’t true.” “And they’ll say, ‘Hey, I’m giving you a preview. It’s not an intelligence channel as yet, but here’s what’s gonna happen.’ And that doesn’t usually come to our—” CARLSON: “Well, wait, wait a second. I mean, I thought that US policymakers made their decisions on the basis of intelligence collected and/or vetted by our intelligence community.” “You’re saying that Israeli officials short-circuited the entire US government and just went right to American policymakers and said, ‘It doesn’t matter what your country says. Here’s what we know.’ Is that what you’re saying?” KENT: “I mean, usually they’re pretty slick.” CARLSON: “Oh, of course.” KENT: “And they’ll say, ‘Hey, this isn’t in intelligence channels yet because it’s going to take some time to get there. [Iran is] on the cusp of building a [nuclear] bomb.’” “A lot of times they’ll sample different things until they find what sticks.”

The Vigilant Fox 🦊

469,259 views • 4 months ago