Richard Sutton
Person on 3 sites
Computer scientist who founded the field of reinforcement learning, co-author of the standard textbook, and winner of the 2024 Turing Award.
-
7 facts on wiqqi (opens wiqqi.app)
Who people, organisations and podcasts are, and how they connect, with sources.
Updated 2026-10-31 -
ppll (opens ppll.app)
Where public figures publish, and what they are on record saying.
Updated 2025-09-26 -
25 beliefs on korrents (opens korrents.com)
-
Large language models mimic what people say to do rather than work out what to do, which is why they are not about understanding the world. (opens korrents.com)
“reinforcement learning is about understanding your world whereas large language models are about mimicking people doing what people say you should do. They're not about figuring out what to do.”
-
A language model can predict what a person would say but not what will happen, and only the second of those is a model of the world. (opens korrents.com)
“they have the ability to predict what a person would say they don't have the ability to predict what will happen”
-
Language models cannot be a prior for learning from experience, because a prior needs a ground truth to be a prior about and they have none. (opens korrents.com)
“So there's no ground truth. You can't have prior knowledge if you don't have ground truth because the prior knowledge is supposed to be a hint or an initial belief about what the truth is.”
-
Large language models mimic what people say to do rather than work out what to do, which is why they are not about understanding the world. (opens korrents.com)