Compute is cheap. Picking the job is not.
2026-09-10
If you train a huge model to do the wrong job, it gets better at the wrong job. Diogo's point is that someone still has to name the task. Classify starts there too: what should Jev decide?
The Bitterest Lesson
TL;DR: Compute drives progress in AI, but what good is progress if you are not doing the right task!
Rich Sutton's bitter lesson states that compute beats algorithms.