predict the next latent state so what's gonna happen here is we're gonna learn a way to simulate how the world works in this recurrent neural network but not by directly simulating and pixel space but by simulating in its latent space which could go a lot faster if there's a lot lower dimension we don't have to render the world at all times we can just simulate how the latent variables evolve over time of course this will also depend on the actions thing so it's a Mulligan's interaction and previous latent state generate the next life in