JEPA-Anything is an independent model-method study of latent world models and orthogonal predictive factorisation.
It explores how to learn, across vision, biology, the clinic, molecules, control and physics, latent representations that predict changes of world state, and to offer one interface for intervention prediction, state synthesis and scientific diagnosis.
In the research vision, JEPA-Anything can be read as a unified predictive model or science world simulator over many scientific environments: when a researcher proposes an action or intervention, the model predicts the likely state changes, outcomes and risks in advance, helping screen out ineffective or costly plans. That is a direction to explore: today it does not simulate every scientific environment, and it is not connected to ScienceBuddy or ScienceIDE.
In the wider research picture it asks how to represent the many predictable factors of a complex system, how to predict the state changes different interventions bring, how to ground experiment selection and scientific diagnosis in prediction, and how to reuse a latent world-state interface across domains.
Paper, code, model weights and demo links go public on 18 September within the confirmed scope.