Streaming video generation is a fundamental component of interactive world models and neural game engines, yet existing methods suffer from severe error accumulation that degrades quality over long horizons.
We present Rolling Forcing, a novel autoregressive video diffusion technique that enables real-time generation of multi-minute videos with minimal error accumulation. Our approach introduces three key innovations: