Philosophies & Movements
The Bitter Lesson
The argument that, over the long run, general AI methods that scale with more computing power — such as search and learning — have outperformed methods built around human knowledge of a problem. It is often cited to explain why AI labs keep scaling up data and compute.
Origin
Coined by computer scientist Richard Sutton in a short essay titled “The Bitter Lesson,” published on his website on March 13, 2019.