Richard Sutton – Father of RL thinks LLMs are a dead end

Today I'm chatting with Richard Sutton,  who is one of the founding fathers of   reinforcement learning and inventor of  many of the main techniques used there,

like TD learning and policy gradient methods. For that, he received this year's Turing Award

which, if you don’t know, is the Nobel Prize  for computer science. Richard, congratulations.  Thank you, Dwarkesh. Thanks for coming on the podcast.

It's my pleasure. First question. My audience and I are   familiar with the LLM way of thinking about AI. Conceptually, what are we missing in terms of

thinking about AI from the RL perspective? It's really quite a different point of view.