PERSON
Richard Sutton
The patient architect of reinforcement learning—the man who held a single idea for forty years, watched the field prove him right, and then declared that it had taken the wrong road.
Richard Sutton is the founder of patience. For four decades he held a thesis so simple it took the field that long to hear it: that intelligence is best understood not as a repository of knowledge but as the capacity to learn from experience, and that the path to artificial minds runs through agents that act in a world, predict the consequences, and improve through reward. The 2024
Turing Award, shared with Andrew Barto, confirmed what his work had quietly established. Yet Sutton—the theorist of
scaling, the man who wrote the
Bitter Lesson—finds himself at odds with the present moment, arguing that the celebrated systems of the age learn from human text rather than from the world, and that this distinction is the deepest one there is. His reward hypothesis proposes that all of what we mean by goals and purposes can be understood as the maximization of a scalar signal, a claim that turns a question about machines into a question