Issue 1 · The Scaling Bet
Richard Sutton
Issue 1 · Different training
From the public record

Richard Sutton

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In Issue 1: The Scaling Bet
Sutton is one of the ten voices in this issue.
Sutton and the Bitter Lesson
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4 published · 1 in current issue
01

Sutton and the Bitter Lesson

Richard Sutton wrote "The Bitter Lesson," the 2019 essay scaling's advocates read as a license to scale. His writing since, through the OaK architecture he presented in 2025, argues the question was never whether to…

in Issue 1 · Different training
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02

Sutton against Chollet, on different axes

Sutton and François Chollet both reject the claim that scaling today's language models delivers AGI. They disagree on what is missing: runtime experience for Sutton, compositional generalization for Chollet.

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03

Carmack and Sutton's bet against simulator-only RL

Keen, the Dallas lab Richard Sutton left in June 2026, set a 2030 target for signs of AGI on $20 million raised in 2022, betting on reinforcement learning on real hardware, not language models.

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04

The technical lever the bull case keeps stepping over

A 2024 Nature paper by Dohare, Sutton and colleagues found standard deep networks silently lose the ability to learn under continual training. Scaling's advocates treat that as an engineering problem; Sutton treats it…

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Issue 1 · Draft v3

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deslop.media editorial. Issue 1, Draft v3, first published October 10, 2026. Reporting current through October 2026. Use the flags on this page to report an error or a disagreement. Changes to the issue are listed on the changes page.

Part of Issue 1 · The Scaling Bet