Richard Sutton – Father of RL thinks LLMs are a dead end - YouTube
Reinforcement learning expert Richard Sutton, a Turing Award winner, debates the future of AI. The interview explores Sutton's perspective that LLMs lack the capacity for true on-the-job learning, contrasting their limitations with the adaptable nature of biological intelligence. Expect a lively discussion challenging current AI paradigms. Follow along using the transcript. Reinforcement learning expert Richard Sutton, a Turing Award winner, debates the future of AI. The interview explores Sutton's perspective that LLMs lack the capacity for true on-the-job learning, contrasting their limitations with the adaptable nature of biological intelligence. Expect a lively discussion challenging current AI paradigms. Follow along using the transcript.
Richard Sutton is the father of reinforcement learning, winner of the 2024 Turing Award, and author of The Bitter Lesson. And he thinks LLMs are a dead end. After interviewing him, my steel man of Richard’s position is this: LLMs aren’t capable of learning on-the-job, so no matter how much we scale, we’ll need *some* new architecture to enable continual learning. And once we have it, we won’t need a special training phase — the agent will just learn on-the-fly, like all humans, and indeed, like all animals. This new paradigm will render our current approach with LLMs obsolete. In our…
related reading
- Richard Sutton – Father of RL thinks LLMs are a dead enddwarkesh.com
- Richard Sutton – Father of RL thinks LLMs are a dead enddwarkesh.com
- Animals vs Ghosts – karpathykarpathy.bearblog.dev
- The man who taught AI to learn believes human-level intelligence is closer than you think | IBMibm.com
- You can’t imitation-learn how to continual-learn — LessWronglesswrong.com
- How can LLM RL Work Despite Information-Theoretic Inefficiencyberen.io
- Ilya Sutskever — We're moving from the age of scaling to the age of researchdwarkesh.com
- Andrej Karpathy — AGI is still a decade awaydwarkesh.com
- Reiner Pope – The math behind how LLMs are trained and serveddwarkesh.com
- Deep Dive into LLMs like ChatGPTyoutube.com
- What will be left for us to work on?normaltech.ai
- John Schulman - Reinforcement Learning from Human Feedback: Progress and Challengesyoutube.com