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 →“Betting on future, more general models yields higher long‑term ROI than fine‑tuning current models”
“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”