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TL;DR Skild AI is betting that robotic intelligence should transfer across hardware rather than be rebuilt for every machine. Its research connects motor adaptation, video-prompted task learning, and self-play. The decisive test is whether these capabilities survive the speed, reliability, and safety requirements of deployment. Imagine waking up with different legs. Your knees bend differently, your weight has shifted, and the command that previously moved you forward now sends you sideways. Before accomplishing anything useful, you must answer a surprisingly difficult question: what body am I controlling? This thought experiment gets closer to Skild AI’s thesis than another video of a humanoid folding laundry. The company is trying to separate intelligence from the machine that carries it. Not because bodies are irrelevant, but because understanding a body should be something the model learns, rather than something engineers must specify perfectly in advance. The company is a bet on the brain Read more