Person
His answer to the synthetic-data strategy every frontier lab is betting on. Sutton's big world hypothesis says the world is massively more complex than any agent or any simulator — so an agent that cannot keep learning from its own experience is capped from the start.
He opens the episode with it and returns to it word for word an hour later. People keep telling Sutton his position is radical; he thinks the rest of the field started thinking strangely about a decade ago — before the AI boom, nobody needed the phrase "continual learning" because no other kind existed.