RLVR produces an agent competent enough to deploy. That agent gets a week-long context window and does real work. At the end of the week, a thumbs up triggers OPSD or dreaming to distill everything it learned back into the base weights. Repeat. The AI's skills start expanding beyond its original training domains — with each cycle.