Across AI research, broader, more general models consistently outperform narrow, task‑specific ones. Anthropic embraces this by betting on future, larger models rather than fine‑tuning current versions.
View full episode →“General models consistently outperform narrow, task‑specific models across domains”
“Scaffolding around models gives diminishing returns as model capabilities jump”
“The “Bitter Lesson” states that simpler algorithms with more data usually outperform complex, hand‑crafted methods”