Robots Watch YouTube and Learn to Do Everything Better Than Us.
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You know LLMs, like ChatGPT? Those Large Language Models that read billions of texts and then learn to write, talk, and interact with us as if they were people. Well, the same thing is happening with robots, but instead of words, it’s the body. They’re called LBMs, Large Behavior Models: systems that learn by watching billions of examples of actions, and then turn them into coordinated, fluid, precise movements.
The mechanism is identical. An LLM doesn’t know the world, it reconstructs it from text data. An LBM has no physical experience, but it gains it by watching demonstrations: videos, sensors, instructions. From there, it builds a kind of grammar of movement. A robot with an LBM no longer needs a programmer to write every gesture line by line. It just needs to see.
Think about what this means: billions of tutorials already on YouTube teaching how to cook, fold a shirt, build a shelf, tie a rope. For an LBM, that’s pure fuel. It absorbs it, structures it, and replicates it without mistakes, without hesitation. And here’s the shock: once it learns, the robot performs better than the human who taught it. Faster, steadier, more precise.
Boston Dynamics with their Atlas robot has shown what this looks like: an LBM that controls the whole body as a single system, hands and feet interchangeable, movements continuous rather than in clunky blocks. It’s as if the robot learned the logic of moving on its own, treating the body as one machine instead of separate parts.
That’s the real breakthrough. Yesterday, a robot was a puppet of code. Today, it’s becoming a universal apprentice. Every recorded human action becomes an instruction it can learn and perfect. It’s no longer science fiction: robots can already take the entirety of practical human knowledge that’s online and make it theirs.
The uncomfortable question is this: what’s left for us, when a machine can watch what we do, copy it instantly, and do it better?
#ArtificialDecisions #MCC
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