PhAI Labs, together with Oxford, Stanford, Princeton, CUHK and other teams, released JEPA-Anything, a cross-domain framework for learning predictive models across different "worlds". Its core mechanism OPF (Orthogonal Predictive Factorization) divides target states into complementary subspaces handled by independent prediction branches, and the framework was validated across vision, biology, clinical, control, molecular, physics and weather systems.