Richard Sutton
A Canadian computer scientist and researcher in reinforcement learning, known for his 'Bitter Lesson' argument regarding general methods and computation.
Common Themes
Videos Mentioning Richard Sutton
Ep 18: Petaflops to the People — with George Hotz of tinycorp
Latent Space
Richard Sutton's 'Bitter Lesson' is cited as a foundational concept for AI development, emphasizing the power of scaling computation over hand-engineering.
Charles Isbell and Michael Littman: Machine Learning and Education | Lex Fridman Podcast #148
Lex Fridman
A prominent researcher in reinforcement learning, mentioned as one of the colleagues at Bell Labs.
François Chollet: Keras, Deep Learning, and the Progress of AI | Lex Fridman Podcast #38
Lex Fridman
Author of 'The Bitter Lesson' blog post, which argues that general methods leveraging computation are most effective in AI.
Jeff Hawkins: Thousand Brains Theory of Intelligence | Lex Fridman Podcast #25
Lex Fridman
A pioneer in reinforcement learning, known for his 'Bitter Lesson' blog post, which argues for general methods in AI that scale with computation rather than relying on tricky, specific solutions.
Sergey Levine: Robotics and Machine Learning | Lex Fridman Podcast #108
Lex Fridman
An AI researcher who proposed the 'Bitter Lesson,' suggesting that general methods leveraging computation are more effective than fancy algorithms.
Oriol Vinyals: Deep Learning and Artificial General Intelligence | Lex Fridman Podcast #306
Lex Fridman
A Canadian computer scientist and researcher in reinforcement learning, known for his 'Bitter Lesson' argument regarding general methods and computation.
Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333
Lex Fridman
AI researcher known for 'The Bitter Lesson,' which emphasizes scaling and computation over human-designed features in AI development.
Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10
Lex Fridman
Author of a reinforcement learning book, which Peter Abbeel read before the resurgence of deep learning.