A specialist in video understanding that builds internal world models by predicting missing or future visual patches rather than generating pixel outputs. It focuses on learning the structure of how things move and change over time, making it strong at grasping physical dynamics and temporal context. It is a research-oriented component, not a conversational assistant — it produces learned representations, not human-readable responses.