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The bitter lesson is that general methods that leverage computation are ultimately the most effective in AI research, and that human knowledge is not a substitute for it. The paper reviews the history of AI research in chess, Go, speech recognition, and computer vision, and argues for the power of search and learning methods.
The Bitter Lesson 3/13/2019; Podcast re My Life So Far 4/4/2019 transcript; Software s. Tile Coding Software: Version 3, Version 2.1. RandomMDPs.lisp, for learning and planning with tabular or factored MDPs
Bitter Lesson is a site that explores the concept of embracing failures and continuous learning in various domains, especially AI and Machine Learning. It draws inspiration from a short essay by Professor Richard Sutton and the author's personal philosophy of relentless learning.
Dec 1, 2022 · Revisiting Rich Sutton's "The Bitter Lesson" Ben Dickson. Dec 01, 2022. Share. By Rich Heimann. In a popular blog post titled “ The Bitter Lesson ,” Richard Sutton argues that AI’s progress has resulted from cheaper computation, not human design decisions based on problem-specific information.
- Ben Dickson
Jul 22, 2021 · A non-expert outsider's notes on Rich Sutton's essay about the history and future of AI research. Sutton argues that general methods that leverage computation are ultimately the most effective, while the author questions the timeline and the applicability of this lesson.
Jul 13, 2020 · Reflections on the Bitter Lesson. Posted on July 13, 2020. Yesterday I was rereading Richard Suttons Bitter Lesson, especially in light of the enormous recent success of hugely powerful language models (such as GPT3) and RL agents such as Alpha-go, MuZero, Alphastar, and Agent 57 which all broadly fit the pattern predicted in the post.
Mar 23, 2024 · The Bitter Lesson: Scale All You Need. David Rimshnick. AVP, GenAI Innovation @ Blue Health Intelligence | Technical AI leadership for healthcare analytics. Published Mar 23, 2024. + Follow....
