The Bitter Lesson
Richard Sutton
General methods that leverage computation consistently beat hand-engineered human knowledge, and researchers keep relearning this.
≈1,100 wordslink checked 17 Sept 2026Artificial Intelligence · Machine Learning Foundations
A topic within Machine Learning Foundations, itself one of 15 topics in that field and part of Artificial Intelligence.
No prior grounding assumed.
The Bitter Lesson
Richard Sutton · 2019
General methods that leverage computation consistently beat hand-engineered human knowledge, and researchers keep relearning this.
+2 more at this level
Primary sources and full treatments.
Stanford CS229: Machine Learning
Anand Avati (Stanford Online) · 2019
The full derivations behind the standard machine learning methods, treating generalisation and bias-variance as the subject rather than a preliminary…
4 works
Richard Sutton
General methods that leverage computation consistently beat hand-engineered human knowledge, and researchers keep relearning this.
≈1,100 wordslink checked 17 Sept 2026Halevy, Norvig & Pereira
For messy human problems such as language, a simple model over far more data beats an elegant model over less, so effort is better spent on the corpus.
link checked 17 Sept 2026Pedro Domingos
Twelve lessons practitioners otherwise learn the hard way: generalisation is the only goal, more data beats a cleverer algorithm, and intuition fails in high dimensions.
link checked 17 Sept 2026Anand Avati (Stanford Online)
The full derivations behind the standard machine learning methods, treating generalisation and bias-variance as the subject rather than a preliminary to model fitting.
link checked 17 Sept 2026