Richard Sutton: brute-force compute isn't enough, AI science far from finished
dair_ai · x · 2026-11-08
RL pioneer Richard Sutton argues brute-force computation alone can't yield intelligence and that cleverer new methods are needed—the science of AI is far from done. dair-ai's Omar Sanseviero, a decade-plus AI veteran, agrees: Transformers only scratched the surface, this arc is ending, and a new algorithmic paradigm is quietly being built. Companies that over-optimized for the current arc may pay dearly, he says, urging the community to return to scientific rigor amid fear-mongering.
More from AGI Musings
- Ajeya Cotra's rough modeling suggests new AI risk report points to shorter timelines than AI 2027 — eli_lifland · 2026-11-08
- Acemoglu: AI should complement human skills, not mimic them — math_rachel · 2026-11-08
- JEV Gets Its First Paper as Researchers Split on Research Merit vs Closed Business Model — teortaxesTex · 2026-11-08
- "Humans overfit to confirmation too" — a witty mode collapse analogy for AI slop debate — flowersslop · 2026-11-08
- bayeslord: Stop treating AI as a monolith — four distinct goals demand precise language — sebkrier · 2026-11-08
- AI doesn't change how unique your niche interests are, argues dev pixlpa — pixlpa · 2026-11-08