Researchers extend LeCun's JEPA architecture into a general world model JEPA-Anything spanning physics to biology

Researchers from PhAI Labs, in collaboration with Stanford, Oxford, and Princeton, propose JEPA-Anything, extending LeCun's JEPA architecture to seven domains including physics, robotics, weather, single-cell, and clinical. The method decomposes predicted states into four orthogonal factors, each with an independent predictor, then recombines them, avoiding a single prediction being dominated by simple patterns; in a simplified Pong environment, prediction error is reduced by 35%, and for unseen intervention combinations by 13%. The model also screened out a candidate liver cancer regimen combining IL-18 with CD73 blockade from biological data, and validated in organoids, tumor tissue from three patients, and mice that its tumor-killing effect is superior to either approach alone, but it is not yet certain whether it can become an actual therapy.