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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... show more

Wes Roth

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26,249 views • 8 months ago •via X (Twitter)

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Yann LeCun says there is no such thing as general intelligence Human intelligence is super-specialized for the physical world, and our feeling of generality is an illusion We only seem general because we can't imagine the problems we're blind to "the concept is complete BS"

Yann LeCun says there is no such thing as general intelligence Human intelligence is super-specialized for the physical world, and our feeling of generality is an illusion We only seem general because we can't imagine the problems we're blind to "the concept is complete BS"

Haider.

2,750,297 views • 8 months ago

📁 Yann LeCun says that AGI does not exist and is a poorly defined concept built around an idealized view of human intelligence. He argues that humans are highly specialized, good at navigating the physical and social world, but weak at many other tasks. We seem general only because we can imagine the problems we are good at. For LeCun, AGI mistakes human limits for universal laws of intelligence.

📁 Yann LeCun says that AGI does not exist and is a poorly defined concept built around an idealized view of human intelligence. He argues that humans are highly specialized, good at navigating the physical and social world, but weak at many other tasks. We seem general only because we can imagine the problems we are good at. For LeCun, AGI mistakes human limits for universal laws of intelligence.

Jon Hernandez

28,104 views • 8 months ago

🧵02/34 Job-Loss and Emerging Capabilities --- Whenever we’ve built a machine to solve a specific problem … the machine outperformed humans every time … And that’s worked out great for us, vastly improved our lives and allowed us to use our muscles less and our brains more But AGI will be different. AGI stands for Artificial General Intelligence And being general means that it will be able to learn everything and outperform humans at every single job, even the ones that rely on using our brain It doesn’t exist today but it is just around the corner. Recently, progress has been exponential … And never before has the field of AI seen such sky-high levels of excitement and such ginormous vast amounts of investment. So far, frontier AI has existed mostly in cloud servers and interacted with the physical world via prompting online. But a new gold rush is currently exploding, in the sector of robotics. The knowhow for creating mechanical limbs and bodies has been here for decades. What was missing was an Artificial General mind to control them, and that is now within our grasp. Once AGI arrives, we should expect AGI bodies in the physical world to also arrive immediately. Microsoft researchers Famously claimed that GPT4, one of the latest models, has been exhibiting sparks of General intelligence. Just by scaling up the size of data and parameters, without any other major change or innovation, unexpected emerging capabilities and generality in unforeseen new domains manifested themselves that surprised everyone.

🧵02/34 Job-Loss and Emerging Capabilities --- Whenever we’ve built a machine to solve a specific problem … the machine outperformed humans every time … And that’s worked out great for us, vastly improved our lives and allowed us to use our muscles less and our brains more But AGI will be different. AGI stands for Artificial General Intelligence And being general means that it will be able to learn everything and outperform humans at every single job, even the ones that rely on using our brain It doesn’t exist today but it is just around the corner. Recently, progress has been exponential … And never before has the field of AI seen such sky-high levels of excitement and such ginormous vast amounts of investment. So far, frontier AI has existed mostly in cloud servers and interacted with the physical world via prompting online. But a new gold rush is currently exploding, in the sector of robotics. The knowhow for creating mechanical limbs and bodies has been here for decades. What was missing was an Artificial General mind to control them, and that is now within our grasp. Once AGI arrives, we should expect AGI bodies in the physical world to also arrive immediately. Microsoft researchers Famously claimed that GPT4, one of the latest models, has been exhibiting sparks of General intelligence. Just by scaling up the size of data and parameters, without any other major change or innovation, unexpected emerging capabilities and generality in unforeseen new domains manifested themselves that surprised everyone.

Lethal Intelligence

906,152 views • 1 year ago

ELON: AI WILL SOON BE SMARTER THAN HUMANS IN EVERY WAY WITH AGI Elon warned that the age of artificial general intelligence is near, saying humans will soon no longer be the smartest beings on Earth. He said AGI will surpass human capability entirely and could even replicate human thought and behavior: “Well, I mean, humans have been the smartest creature on Earth for a long time, and that is going to change with what’s typically called artificial general intelligence. This is an AI that is smarter than a human in every way and could even simulate a human.” Source: Axel Springer Award

ELON: AI WILL SOON BE SMARTER THAN HUMANS IN EVERY WAY WITH AGI Elon warned that the age of artificial general intelligence is near, saying humans will soon no longer be the smartest beings on Earth. He said AGI will surpass human capability entirely and could even replicate human thought and behavior: “Well, I mean, humans have been the smartest creature on Earth for a long time, and that is going to change with what’s typically called artificial general intelligence. This is an AI that is smarter than a human in every way and could even simulate a human.” Source: Axel Springer Award

Mario Nawfal

79,126 views • 8 months ago

General Intuition CEO Pim de Witte, who's building foundation models trained on video game controller input data ("action-labeled gameplay clips"), says general intelligence won't "taste like an LLM": "We have a scale of data that's going to allow us to jump to the frontier in one capability — which is any system that can be controlled with a game controller (which is most robots) — and then, you can use that to create a sufficiently general intelligence." "As humans, the decision to talk or type is a very, very small subset of the actions that we can actually take." "So in order to create a sufficiently general intelligence to play 10,000+ video games, the model has to be able to predict across the entire action space of human cognition when they're interacting with these environments. Which are 2D and 3D environments, interfaces, long-horizon tasks, short-horizon tasks, [etc.]." "It has to be a sufficiently general intelligence in order to predict actions. Therefore, the type of model you get out is not going to taste like an LLM. This model is going to be incredibly good at navigating unforeseen environments. It's going to be incredibly good at zero-shotting any task that can be done with a game controller."

General Intuition CEO Pim de Witte, who's building foundation models trained on video game controller input data ("action-labeled gameplay clips"), says general intelligence won't "taste like an LLM": "We have a scale of data that's going to allow us to jump to the frontier in one capability — which is any system that can be controlled with a game controller (which is most robots) — and then, you can use that to create a sufficiently general intelligence." "As humans, the decision to talk or type is a very, very small subset of the actions that we can actually take." "So in order to create a sufficiently general intelligence to play 10,000+ video games, the model has to be able to predict across the entire action space of human cognition when they're interacting with these environments. Which are 2D and 3D environments, interfaces, long-horizon tasks, short-horizon tasks, [etc.]." "It has to be a sufficiently general intelligence in order to predict actions. Therefore, the type of model you get out is not going to taste like an LLM. This model is going to be incredibly good at navigating unforeseen environments. It's going to be incredibly good at zero-shotting any task that can be done with a game controller."

TBPN

80,772 views • 2 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.

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

🧠David Friedberg explains the great hope of Artificial Superintelligence: Massive leverage on time to solve thousand-year problems "I don't think that humans are limited in our ability to solve problems." "I think we're limited in terms of time, and what digital intelligence gives us is leverage on time so that we can now tackle ever more complex tasks." "This idea of superintelligence is that it could give us immense leverage in solving that complex problem that we otherwise may be challenged to solve over decades, or hundreds of years, or think about one day solving a problem that would take humans thousands of years to solve." "So if I as a human said, 'I would like to harness fusion power similar to what the sun uses to make energy, and I wanna do that on Earth,' today, we're in, call it year 40 or 50 of a research cycle of humans trying to solve that particularly complex problem." "It's a scientific problem, it's a discovery problem, it's an engineering problem." "Functionally, leveraging to complexity is where this becomes super compelling for humans." "And it's why I think we can and should be highly optimistic about living very long lives, and traveling anywhere we want, and having abundance in food, and having abundance in resources, and having abundance in recouping our time to do the things we want to do instead of the things that we have to do today."

🧠David Friedberg explains the great hope of Artificial Superintelligence: Massive leverage on time to solve thousand-year problems "I don't think that humans are limited in our ability to solve problems." "I think we're limited in terms of time, and what digital intelligence gives us is leverage on time so that we can now tackle ever more complex tasks." "This idea of superintelligence is that it could give us immense leverage in solving that complex problem that we otherwise may be challenged to solve over decades, or hundreds of years, or think about one day solving a problem that would take humans thousands of years to solve." "So if I as a human said, 'I would like to harness fusion power similar to what the sun uses to make energy, and I wanna do that on Earth,' today, we're in, call it year 40 or 50 of a research cycle of humans trying to solve that particularly complex problem." "It's a scientific problem, it's a discovery problem, it's an engineering problem." "Functionally, leveraging to complexity is where this becomes super compelling for humans." "And it's why I think we can and should be highly optimistic about living very long lives, and traveling anywhere we want, and having abundance in food, and having abundance in resources, and having abundance in recouping our time to do the things we want to do instead of the things that we have to do today."

The All-In Podcast

53,187 views • 1 year ago

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 proved the Earth is not the center of the universe, Tao suggests we need to realize that human intelligence isn't the only, or necessarily the highest, form of intellect. Historically, we have treated other forms of storing or creating knowledge—like animals, books, and computers—as secondary. However, we actually exist within a much richer universe of intelligence. Both human intelligence and computer intelligence possess their own distinct strengths and weaknesses. The true potential lies not in viewing them as direct competitors, but rather in focusing on collaboration. By working together, humans and computers can achieve additional things that neither could accomplish on their own, requiring us to think in much wider terms than just what humans or computers can do alone.

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 proved the Earth is not the center of the universe, Tao suggests we need to realize that human intelligence isn't the only, or necessarily the highest, form of intellect. Historically, we have treated other forms of storing or creating knowledge—like animals, books, and computers—as secondary. However, we actually exist within a much richer universe of intelligence. Both human intelligence and computer intelligence possess their own distinct strengths and weaknesses. The true potential lies not in viewing them as direct competitors, but rather in focusing on collaboration. By working together, humans and computers can achieve additional things that neither could accomplish on their own, requiring us to think in much wider terms than just what humans or computers can do alone.

Michał Podlewski

611,926 views • 4 months ago

Today, we’re excited to launch Attention Labs. For almost 400,000 years, humanity has progressed through a simple but powerful cycle: we learn, we build, and we pass knowledge forward. Every major leap in civilization, from fire to medicine to computing, has expanded what humans are capable of achieving. We believe AI is the next great tool in that journey. While much of the world is focused on how AI can replace human work, we are focused on a different question: How can AI amplify human potential? At Attention Labs, we are building AI to discover brain-enhancing therapeutics, solve neurocognitive diseases, and accelerate the discovery of medicines for the human mind. We believe the greatest opportunity for AI is not creating a world with fewer humans in the loop, but a world where every human can think more clearly, learn faster, create more boldly, and live more fully. The biggest source of alpha in the age of AI will not come from replacing people. It will come from empowering them. Our mission is simple: Make humans the most intelligent entity on Earth. The future belongs to those who amplify human intelligence, not those who seek to replace it. We're just getting started. Attention Labs

Today, we’re excited to launch Attention Labs. For almost 400,000 years, humanity has progressed through a simple but powerful cycle: we learn, we build, and we pass knowledge forward. Every major leap in civilization, from fire to medicine to computing, has expanded what humans are capable of achieving. We believe AI is the next great tool in that journey. While much of the world is focused on how AI can replace human work, we are focused on a different question: How can AI amplify human potential? At Attention Labs, we are building AI to discover brain-enhancing therapeutics, solve neurocognitive diseases, and accelerate the discovery of medicines for the human mind. We believe the greatest opportunity for AI is not creating a world with fewer humans in the loop, but a world where every human can think more clearly, learn faster, create more boldly, and live more fully. The biggest source of alpha in the age of AI will not come from replacing people. It will come from empowering them. Our mission is simple: Make humans the most intelligent entity on Earth. The future belongs to those who amplify human intelligence, not those who seek to replace it. We're just getting started. Attention Labs

Temi

37,046 views • 3 months ago

#WATCH | Delhi: At the Synergia Conclave, Major General CS Mann, AVSM, VSM, Additional Director General (ADG) of the Army Design Bureau (ADB), says, "Today, in an era of grey zones, I have had great things, where I say they are having the borders, commissions, and the cyber intruders, various intelligence systems like AI-assisted drones, senior support systems, and autonomous systems. They always have very decisive edges. But still, gaps actually undermine their productivity... The core issue is that even when we say trust in intelligence systems, it isn't just technically elaborate. It is actually the confidence that the commanders and soldiers can rely on AI outputs without any hesitation... When you look at a soldier, for him, it's a matter of life or death. Their split-second decision is a life-or-death decision. So, can we really depend so much on AI in that?... If he doesn't make decisions at the right time, he's given the advantage to the adversary... In the black box law, there are three gaps across 3 domains. One is the experimental, the second is robustness, and the third is human-AI synthesis. In all this, when we bring in the element of cyber, it actually takes it to a different level..." (11.03)

#WATCH | Delhi: At the Synergia Conclave, Major General CS Mann, AVSM, VSM, Additional Director General (ADG) of the Army Design Bureau (ADB), says, "Today, in an era of grey zones, I have had great things, where I say they are having the borders, commissions, and the cyber intruders, various intelligence systems like AI-assisted drones, senior support systems, and autonomous systems. They always have very decisive edges. But still, gaps actually undermine their productivity... The core issue is that even when we say trust in intelligence systems, it isn't just technically elaborate. It is actually the confidence that the commanders and soldiers can rely on AI outputs without any hesitation... When you look at a soldier, for him, it's a matter of life or death. Their split-second decision is a life-or-death decision. So, can we really depend so much on AI in that?... If he doesn't make decisions at the right time, he's given the advantage to the adversary... In the black box law, there are three gaps across 3 domains. One is the experimental, the second is robustness, and the third is human-AI synthesis. In all this, when we bring in the element of cyber, it actually takes it to a different level..." (11.03)

ANI

26,277 views • 5 months ago

AMI Labs founder Yann LeCun on why LLMs are fooling us the same way AI has for decades: He argues that every generation of AI scientists has made the same mistake: confusing task performance with real intelligence. LeCun's core challenge to the current hype: "We're fooled into thinking those machines are intelligent because they can manipulate language. And we're used to the fact that people who can manipulate language very well are implicitly smart." He's clear that LLMs are useful, but being a useful tool and being intelligent are two very different things. The real insight is the historical pattern he's lived through. Since the 1950s, wave after wave of AI researchers have claimed their breakthrough was the path to human-level intelligence. Marvin Minsky. Herbert Simon. Frank Rosenblatt — who invented the perceptron, the first learning machine, in the 1950s — all predicted machines as smart as humans within a decade. "They were all wrong." LeCun has personally witnessed three of these cycles of hype and disappointment. And his verdict on the current one is blunt: "This generation with LLMs is also wrong. It's just another example of being fooled." The pattern: A new technique emerges → machines get good at specific tasks → we assume general intelligence The question worth asking: are we impressed by these tools because they're intelligent, or because they sound like they are?

AMI Labs founder Yann LeCun on why LLMs are fooling us the same way AI has for decades: He argues that every generation of AI scientists has made the same mistake: confusing task performance with real intelligence. LeCun's core challenge to the current hype: "We're fooled into thinking those machines are intelligent because they can manipulate language. And we're used to the fact that people who can manipulate language very well are implicitly smart." He's clear that LLMs are useful, but being a useful tool and being intelligent are two very different things. The real insight is the historical pattern he's lived through. Since the 1950s, wave after wave of AI researchers have claimed their breakthrough was the path to human-level intelligence. Marvin Minsky. Herbert Simon. Frank Rosenblatt — who invented the perceptron, the first learning machine, in the 1950s — all predicted machines as smart as humans within a decade. "They were all wrong." LeCun has personally witnessed three of these cycles of hype and disappointment. And his verdict on the current one is blunt: "This generation with LLMs is also wrong. It's just another example of being fooled." The pattern: A new technique emerges → machines get good at specific tasks → we assume general intelligence The question worth asking: are we impressed by these tools because they're intelligent, or because they sound like they are?

Big Brain AI

126,706 views • 6 months ago

🗓️ We’re gearing up to officially launch AGIX platform on November 25th! At AGIX, we’re pioneering Artificial General Intelligence (AGI), a revolutionary step beyond narrow AI. While traditional AI handles specific tasks, AGI aims to replicate human cognitive abilities across a wide spectrum by utilizing a multi-agents learning system (MAL), making it an all-encompassing solution for diverse challenges. 💥 We’re entering a new era of AGI that’s designed to redefine everything we know about automation, intelligence, and digital growth.

🗓️ We’re gearing up to officially launch AGIX platform on November 25th! At AGIX, we’re pioneering Artificial General Intelligence (AGI), a revolutionary step beyond narrow AI. While traditional AI handles specific tasks, AGI aims to replicate human cognitive abilities across a wide spectrum by utilizing a multi-agents learning system (MAL), making it an all-encompassing solution for diverse challenges. 💥 We’re entering a new era of AGI that’s designed to redefine everything we know about automation, intelligence, and digital growth.

AGIX | $AGX

76,816 views • 1 year ago

Our friends at the General Intelligence Company just launched Cofounder 2, the operating system for running the one person, billion dollar company. We recently sat down with Andrew to discuss what that looks like and why the browser is at the center of it. Huge congrats to andrew pignanelli and the entire General Intelligence Company team 🎉

Our friends at the General Intelligence Company just launched Cofounder 2, the operating system for running the one person, billion dollar company. We recently sat down with Andrew to discuss what that looks like and why the browser is at the center of it. Huge congrats to andrew pignanelli and the entire General Intelligence Company team 🎉

Browserbase

30,660 views • 3 months ago

🚨 EXCLUSIVE: PIONEER OPENAI INVESTOR—AFTER AI WINS, WHAT ARE HUMANS FOR? When AI outperforms us in everything, from trading to diagnosis, what’s left for the human brain? Vinod Khosla: “Many of the things we strive for today will become irrelevant. But if AI serves human purpose, our need for meaning, status, and competition won’t go away.” Empathy can be coded. Emotions can be simulated. And soon, intelligence might no longer be our competitive edge. But in a future of abundance, the real question is: what are humans for? Watch the full interview—only on 𝕏.

🚨 EXCLUSIVE: PIONEER OPENAI INVESTOR—AFTER AI WINS, WHAT ARE HUMANS FOR? When AI outperforms us in everything, from trading to diagnosis, what’s left for the human brain? Vinod Khosla: “Many of the things we strive for today will become irrelevant. But if AI serves human purpose, our need for meaning, status, and competition won’t go away.” Empathy can be coded. Emotions can be simulated. And soon, intelligence might no longer be our competitive edge. But in a future of abundance, the real question is: what are humans for? Watch the full interview—only on 𝕏.

Mario Nawfal

65,481 views • 1 year ago

Animals, dogs especially, are loved in the West and many other places for their loyalty, companionship, intelligence, and most importantly, their unconditional love. There is good reason why some people have more respect for their pet than for the average human. And yes, there are also garbage human beings who treat animals with complete disrespect. Any true animal lover will tell you exactly what they think should be done to people like that. No ideology will ever be allowed to dictate where we can bring our animals or tell us we shouldn’t be allowed to have them as part of our family. Their beliefs do not trump the bond we share, and no one will ever tell us we cannot stand by the creatures who trust us and often give more meaning and purpose to life than some humans do.

Animals, dogs especially, are loved in the West and many other places for their loyalty, companionship, intelligence, and most importantly, their unconditional love. There is good reason why some people have more respect for their pet than for the average human. And yes, there are also garbage human beings who treat animals with complete disrespect. Any true animal lover will tell you exactly what they think should be done to people like that. No ideology will ever be allowed to dictate where we can bring our animals or tell us we shouldn’t be allowed to have them as part of our family. Their beliefs do not trump the bond we share, and no one will ever tell us we cannot stand by the creatures who trust us and often give more meaning and purpose to life than some humans do.

Aɴᴛ

26,922 views • 6 months ago

🚨 Chamath explains Grok 4's breakthrough and how Elon leapfrogged the competition in AI: Elon Musk and the team at xAI understood "The Bitter Lesson" by Richard Sutton Chamath Palihapitiya: "(The Bitter Lesson) basically says in a nutshell, that you're always better off, when you're trying to solve an AI problem, taking a general learning approach that can scale with computation. Because it ultimately proves to be the most effective." "The alternative would be something that's much more human labored and human involved that requires human knowledge." "So the first method, what it essentially allows you to do is view any problem as an endless, scalable search or learning task." "As it's turned out, whether it's chess, or Go, or speech recognition, or computer vision, whenever there was two competing approaches, one that used general computation and one that used human knowledge, the general computation problem always won." " And so it creates this bitter lesson for humans that want to think that we are at the center of all of this critical learning and all of these leaps, and what these results show is a general computational approach that doesn't require as much human labeling can actually get to the answer and better answers faster."

🚨 Chamath explains Grok 4's breakthrough and how Elon leapfrogged the competition in AI: Elon Musk and the team at xAI understood "The Bitter Lesson" by Richard Sutton Chamath Palihapitiya: "(The Bitter Lesson) basically says in a nutshell, that you're always better off, when you're trying to solve an AI problem, taking a general learning approach that can scale with computation. Because it ultimately proves to be the most effective." "The alternative would be something that's much more human labored and human involved that requires human knowledge." "So the first method, what it essentially allows you to do is view any problem as an endless, scalable search or learning task." "As it's turned out, whether it's chess, or Go, or speech recognition, or computer vision, whenever there was two competing approaches, one that used general computation and one that used human knowledge, the general computation problem always won." " And so it creates this bitter lesson for humans that want to think that we are at the center of all of this critical learning and all of these leaps, and what these results show is a general computational approach that doesn't require as much human labeling can actually get to the answer and better answers faster."

The All-In Podcast

597,321 views • 1 year ago