The Bitter Lesson versus the Garbage Can
The article discusses the tension between two approaches to AI development: the "bitter lesson" that favors scaling compute over human-designed solutions, and the "garbage can" model that emphasizes human oversight and iterative improvement. It explores how these competing philosophies shape current AI research and development strategies.