Instead of vicreg, they induced their latent state with sparse auto-encoding. Also they predicted in pixel, as opposed to latent, space. The white paper describing their tech is a little bit of a mess, but schematically, at least, the hierarchical architecture they describe bears a strong resemblance to the hierarchical JEPA models LeCunn outlined in his big paper from a few years ago. A notable difference, though, is that their thing is essentially a reflex agent, as opposed to possessing a planning/optimization loop.