LeCun Team's Claim: World Models Learn Curved Latent Geometry That Standard RL Algorithms Fight Against
gekobraa · x · 2026-09-16
A viral thread claims Yann LeCun's team found that advanced world models build curved, high-dimensional latent geometry rather than flat Euclidean maps, so every standard RL algorithm has been forcing straight-line plans onto non-Euclidean space — an explanation for why robots struggle with fluid motion. Note: secondhand retelling without a linked paper; treat with caution.
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