A world model that replaces attention and recurrence with reaction-diffusion PDEs. Latent states evolve through Laplacian diffusion and learned reaction terms on a 2D spatial grid, giving the model a built-in inductive bias for spatial coherence, adaptive computation depth, and O(N) scaling in the number of spatial tokens.