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Some thoughts on the Sutton interview

2025-10-04 Science & Technology
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Dwarkesh Patel
Dwarkesh Patel
1.3m subscribers

Analyzing Richard Sutton's Perspective on LLMs, Imitation Learning, and AGI Pathways

Understand the fundamental limitations Richard Sutton identifies in current LLM training paradigms, and assess how the speaker argues imitation learning might serve as a crucial, complementary step toward achieving AGI. This synthesis clarifies the divide between massive model scale and the necessity of continual, self-directed learning systems.

Short Summary

  • [00:00:22] Sutton’s “Bitter Lesson” mandates focusing compute on scalable techniques rather than fixed human knowledge structures.
  • [00:01:26] LLMs currently fail because they learn human responses from inelastic data, not self-directed engagement with truth.
  • [00:02:49] The speaker refutes a strict dichotomy, positioning imitation learning as continuous with and complementary to Reinforcement Learning (RL).

This discussion breaks down Sutton’s critique concerning LLMs’ inability to learn robustly outside specialized training phases. It then presents a counter-argument suggesting that current pretraining models establish necessary, high-leverage foundational knowledge required for subsequent RL advancements.

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Description

I have a much better understanding of Sutton’s perspective now. I wanted to reflect on it a bit. Read the transcript here: https://www.dwarkesh.com/p/thoughts-on-sutton TIMESTAMPS 00:00:00 The steelman 00:02:42 TLDR of my current thoughts 00:03:22 Imitation learning is continuous with and complementary to RL 00:08:26 Continual learning 00:10:31 Concluding thoughts

Top Comments (10)

@Hawking1969 2025-10-04

Mr. Sutton pushed all of us to think different. We're the better for it.

591 14 replies
@alandworsky8926 2025-10-04

Dude, you are willing to discuss these topics honestly to the best of your knowledge. Whether you're right or not, you're clearly acting in good faith and earnest. Never stop doing that and whether I think you're right or not, I'll keep watching and listening

408 4 replies
@ericstromquist9458 2025-10-04

This video is the first case where a top YouTube podcaster digested the content of a complex interview, and then came back to offer a studied analysis of that interview's complexity which drew even more content out of the interview. Fantastic job!

398 5 replies
@HMexperience 2025-10-04

It was one of your best interviews exactly because you had different understanding of the key questions answers. Your next interview with Sutton will be even better because you have had time to think about Sutton’s and your own understandings.

278 6 replies
@1littlecoder 2025-10-05

The willingness to come and back and publish this follow up video ❤

128 7 replies
@FanDutch 2025-10-07

sutton just went over so many heads but i think he's right in everything he said. people just misunderstood him. you cannot tell me sutton doesn't know how llms work lol. he isn't old and stuck in the past, he is just sticking to the principles and not giving in to the hype.

97 28 replies
@Nova-Rift 2025-10-04

you have the best beard in ai

79 1 replies
@LeatheryTendons 2025-10-12

It was like a loving wise grandfather talking in as respectful a way as possible to his overconfident grandson

75 2 replies
@daspradeep 2025-10-04

What I think Sutton emphasized that the imitation doesn’t scale I also thought he rejected the idea that the existing world knowledge is a good “prior” for learning Thanks @dwarkesh for pushing the boundaries for all of us to debate on this 🙏🏽

67 4 replies
@bitRAKE 2025-10-04

The interview left me wishing it was longer.

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