Opinion & interviews · curated entry
Sutton writes The Bitter Lesson
The Bitter Lesson
- Date
- March 13, 2019
- Category
- Opinion & interviews
- Organization / Model
- University of Alberta
- Evidence
- 1 source · 1 evidence family
The reinforcement-learning researcher argued that general methods which scale with compute, namely search and learning, always end up beating designs built on hand-encoded human knowledge. It became one of the most cited arguments for the scaling route.
Curator's note: Cross-checked against the original text on the author's personal site.
Curated sources · 1
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This page is a curated static snapshot and can be cited directly. Preferred format GB/T 7714—2025 (electronic resource [EB/OL]); the other 5 styles open below, together with the machine-readable files.
GB/T 7714—2025 (electronic resource [EB/OL])
AI 纪年. Sutton 提出「苦涩的教训」：通用方法终将胜过人类知识[EB/OL]. (2019-03-13)[2026-11-03]. https://aihist.net/e/bitter-lesson-2019.html.
APA 7 · American Psychological Association
AI 纪年. (2019, March 13). Sutton 提出「苦涩的教训」：通用方法终将胜过人类知识 [Web page]. https://aihist.net/e/bitter-lesson-2019.html
MLA 9 · Modern Language Association
"Sutton 提出「苦涩的教训」：通用方法终将胜过人类知识." AI 纪年, 13 March 2019, aihist.net/e/bitter-lesson-2019.html. Accessed 3 Nov. 2026.
Chicago 17 · notes-bibliography
AI 纪年. "Sutton 提出「苦涩的教训」：通用方法终将胜过人类知识." Published March 13, 2019. Accessed Nov. 3, 2026. https://aihist.net/e/bitter-lesson-2019.html.
IEEE · citation-reference list
"Sutton 提出「苦涩的教训」：通用方法终将胜过人类知识," AI 纪年, 13 Mar. 2019. [Online]. Available: https://aihist.net/e/bitter-lesson-2019.html. [Accessed: 3 Nov. 2026].
ACM · author-date variant
AI 纪年. March 13, 2019. Sutton 提出「苦涩的教训」：通用方法终将胜过人类知识. Retrieved November 3, 2026 from https://aihist.net/e/bitter-lesson-2019.html.
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