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Yann LeCun just exposed the greatest illusion in the AI race. Biggest LLM ever trained on 30 trillion words. Roughly 10 to the 14th power bytes of text. Sounds massive. A four-year-old child awake for 16,000 hours has absorbed that exact same volume of data. Through eyes alone. LeCun: “A four-year-old has seen as much visual data as the biggest LLM trained on the entire text ever produced.” But the child’s data is nothing like text. It’s visual, continuous, noisy, and tied to actions. Gravity pulling objects to the floor. Hands gripping edges that resist. People moving through space with intention. Cause and effect playing out in real time, thousands of times a day, before anyone explains a single word. From this, the child builds something no language model has ever possessed. An internal world model. Intuitive physics. A felt understanding of how reality behaves before it’s ever described in language. LLMs see disconnected text. They predict the next token. They get extraordinary at symbol patterns. Exams. Code. Legal reasoning. But underneath the fluency, there is no grounded contact with the physical world. Not even close. LeCun: “We have LLMs that can pass the bar exam or solve equations. But we still don’t have a domestic robot that can do the chores in the house.” That gap is not a hardware problem. It’s an architectural one. Loading a dishwasher demands spatial reasoning, an intuitive grasp of gravity, friction, fragile geometry. A four-year-old builds this by dropping objects thousands of times. By grabbing, failing, adjusting. No language required. A teenager learns to drive in 20 hours because the brain already runs a hyper-advanced physics engine. Forged from 16,000 hours of unbroken interaction with reality. LeCun: “Basically, the methods that are employed to train LLMs do not work in the real world.” You can’t achieve autonomy by feeding a computer more text. You have to build an architecture that actually experiences the friction of the world. That learns from gravity, not grammar. You can’t build a physical economy on an algorithm that has never experienced weight. The most articulate machine ever constructed. That has never once felt the world it’s describing.

Imagine we did it: We built the ultimate final direct democratic simulated multiverse as an optional video game. And you decided to see, to feel it all - all at once - the whole static spacetime of it The place of all-knowledge, all-intelligence and all worlds and live forms. You see infinity. All the pasts, presents and futures all at once. What life in what world will you choose to be? Or will you choose to relive your current life or some variant of it? And now imagine you don’t just choose one life - but infinitely many of them - you choose the order - “the playlist” of lives: And you can choose after which life to die permanently if you so desire. Or you can choose a perpetual loop - just 1 or almost infinitely many lives on repeat So what will you choose? How will you surf through infinity? Will you choose to be infinite or finite?) Will you save infinite physical and simulated worlds or will you choose to give up? #TechnoHeroism #eUTO