Tom Dietterich: SFT and RL go beyond next-token prediction in LLMs
tdietterich · x · 2026-09-25
Amid the debate over whether LLMs are "just predicting language," veteran ML researcher Thomas Dietterich explained that supervised fine-tuning and reinforcement learning go beyond single-token prediction to predict correct multi-token answers. Pre-training's next-token objective mainly serves to learn good internal representations and a stochastic generator of candidate solutions — his technical rebuttal to the "humans are just LLMs" framing.
Related event: Dietterich: LLMs Go Beyond Next-Token Prediction(2 posts)→
More from AGI Musings
- Kai-Fu Lee's Fortune Interview Debunks 3 Misconceptions About China's AI — kaifulee · 2026-11-11
- "Deep Learning is a search algorithm, not a learning algorithm" — JosephJacks_ · 2026-11-11
- AI-assisted proof shows no voting rule beats Borda on strategyproofness — conitzer · 2026-11-11
- The new PhD playbook: build a benchmark, earn frontier-lab recognition, then raise money for a data startup — teortaxesTex · 2026-11-11
- Ethan Mollick: GTA 6 Will Be the Last AAA Game Built Without AI — emollick · 2026-11-11
- Air Street Capital founder: AI is 'a museum of the mind' preserving human know-how — nathanbenaich · 2026-11-11