After a week of work at a deployment, the AI receives a thumbs up or thumbs down (work review), and the base model distills everything learned during the session via OPSD, dreaming, or combinations thereof, allowing the AI to get better at domains adjacent to what it was trained for, starting a cycle of expanding capabilities.