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EBM are so back! Yann LeCun has been pointing here for years: AI reasoning needs systems that check structure before they answer. Aleph from Logical Intelligence now leads the major formal reasoning benchmarks – let me explain what it is -> 📺

Ksenia Se

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58,446 次观看 • 2 个月前 •via X (Twitter)

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Whatever AI sceptics say, LLMs really can reason. They're not just doing an imitation that looks like reasoning, it's the real deal. But even though they are able to reason, sometimes they won't! If you ask an LLM a question it can't answer, sometimes it will just try to imitate reasoning without doing it. The chain of thought looks basically indistinguishable from actual reasoning. But under the hood something very different is going on. Trenton Bricken talked with me about what work on circuits inside LLMs has revealed:

Whatever AI sceptics say, LLMs really can reason. They're not just doing an imitation that looks like reasoning, it's the real deal. But even though they are able to reason, sometimes they won't! If you ask an LLM a question it can't answer, sometimes it will just try to imitate reasoning without doing it. The chain of thought looks basically indistinguishable from actual reasoning. But under the hood something very different is going on. Trenton Bricken talked with me about what work on circuits inside LLMs has revealed:

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"We won't reach AGI with LLMs." Yann LeCun has been saying this for years. Now he's leaving Meta to prove it. LeCun invented convolutional neural networks—the tech behind every smartphone camera and self-driving car today. He won the Turing Award in 2018, AI's Nobel Prize. At 65, the leader of Meta's FAIR research lab is walking away from $600 billion in AI infrastructure, betting against the entire industry: Meta, OpenAI, Anthropic, xAI, Google. Who is Yann LeCun? Why is he leaving, and why does his next move matter? Here's the story:

"We won't reach AGI with LLMs." Yann LeCun has been saying this for years. Now he's leaving Meta to prove it. LeCun invented convolutional neural networks—the tech behind every smartphone camera and self-driving car today. He won the Turing Award in 2018, AI's Nobel Prize. At 65, the leader of Meta's FAIR research lab is walking away from $600 billion in AI infrastructure, betting against the entire industry: Meta, OpenAI, Anthropic, xAI, Google. Who is Yann LeCun? Why is he leaving, and why does his next move matter? Here's the story:

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Jimmy Corsetti has been relentlessly pushing the Richat Structure as Atlantis for years now, strutting around like he’s single-handedly solved one of history’s greatest mysteries. 🥸 His theory suffers from a glaring, fatal flaw that makes it crumble under the slightest examination, let me explain why. #RealArchaeology

Jimmy Corsetti has been relentlessly pushing the Richat Structure as Atlantis for years now, strutting around like he’s single-handedly solved one of history’s greatest mysteries. 🥸 His theory suffers from a glaring, fatal flaw that makes it crumble under the slightest examination, let me explain why. #RealArchaeology

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Yann LeCun (AMI Labs Founder): "The AI industry is completely LLM-pilled. Everybody is working on the same thing. They're all digging the same trench." LeCun explains why no lab dares break from the pack: "They are stealing each other's engineers. So they can't afford to do something different because if they start going on a tangent, they're going to fall behind the other guys. And so they're all doing the same thing." This groupthink is exactly what drove him out of Meta. "Meta also became LLM-pilled with sort of recent reshuffling. And it's fine, a strategic decision that maybe makes sense for them. It's just not what I'm interested in." For Yann LeCun, the problem runs deeper than strategy. LLMs are missing something essential about how intelligence actually works: "I cannot imagine that we can build agentic systems without those systems having an ability to predict in advance what the consequences of their actions are going to be. The way we act in the world is that we can predict the consequences of our actions and that's what allows us to plan." His broader critique is that the industry has mistaken fluency for intelligence. Language turned out to be the easy part. The hard part is the physical world. It's why we still don't have domestic robots or level-five self-driving cars, even though today's systems can pass the bar exam and write code.

Yann LeCun (AMI Labs Founder): "The AI industry is completely LLM-pilled. Everybody is working on the same thing. They're all digging the same trench." LeCun explains why no lab dares break from the pack: "They are stealing each other's engineers. So they can't afford to do something different because if they start going on a tangent, they're going to fall behind the other guys. And so they're all doing the same thing." This groupthink is exactly what drove him out of Meta. "Meta also became LLM-pilled with sort of recent reshuffling. And it's fine, a strategic decision that maybe makes sense for them. It's just not what I'm interested in." For Yann LeCun, the problem runs deeper than strategy. LLMs are missing something essential about how intelligence actually works: "I cannot imagine that we can build agentic systems without those systems having an ability to predict in advance what the consequences of their actions are going to be. The way we act in the world is that we can predict the consequences of our actions and that's what allows us to plan." His broader critique is that the industry has mistaken fluency for intelligence. Language turned out to be the easy part. The hard part is the physical world. It's why we still don't have domestic robots or level-five self-driving cars, even though today's systems can pass the bar exam and write code.

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Godfather of AI Yann LeCun reveals the humanoid robot industry's secret: the companies building the robots have no idea how to make them smart enough to be useful. "There is a lot of expectations that robotics is going to be a revolution, essentially, in a big market, eventually." "But the secret of the industry is that none of the companies at the moment that are building robots, like humanoid robots, none of those companies has any idea how to make those robots smart enough to be useful." "There's a big push for AI to make progress towards... understanding the physical world. That's what is prompting this investment." "There's nothing wrong with investing in LLMs. LLMs are useful. They're just addressing a completely different set of applications, really." LeCun is not describing someone else's problem. He has spent 15 years on world models, raised more than $1 billion for AMI Labs to build that missing intelligence layer, and in the same interview he calls 2026 the year of the world model and puts consumer robots 3 to 5 years out. Every humanoid robot demo you have seen is a body waiting for a brain. The winner in robotics will not be the company that shipped the body; it will be the one that ships the intelligence. - Yann LeCun (Yann LeCun), Turing Award winner and founder of AMI Labs, on Bloomberg Television.

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Before handing authority back to the locals A U.S. major tries to persuade an Afghan commander to stop his men from raping young boys. The Afghan commander says at 1:29 that the adults were "used" when they were younger, so they are now receiving what is owed to them. It is one of their mottos, "girls for babies and boys for fun."

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STEVE BANNON: For the people that are pro-war here. Let me make a recommendation for folks that were there those many long years ago and decades ago. Let's not go back 47 years. Let's not go back to the marine barracks. --- This country needs an answer and we're gonna be relentless about pursuing it. What was the information that the commander in chief was given both on the 12 day war and in this. It was an imminent, why was it an imminent threat?

STEVE BANNON: For the people that are pro-war here. Let me make a recommendation for folks that were there those many long years ago and decades ago. Let's not go back 47 years. Let's not go back to the marine barracks. --- This country needs an answer and we're gonna be relentless about pursuing it. What was the information that the commander in chief was given both on the 12 day war and in this. It was an imminent, why was it an imminent threat?

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