Fleuret: teacher forcing leaves no room for internal state dynamics, hence clunky token reasoning

francoisfleuret · x · 2026-10-24

In a two-part thread, François Fleuret argues that teacher forcing turns time iteration into depth iteration (great for GPUs), but leaves little room for models to learn genuine internal state dynamics — they can only decorate tokens with attributes and must follow the teacher. Hence today's "mega-clunky" token-space reasoning is an architectural compromise, not an ideal design.

Related event: Fleuret: Teacher Forcing Trades Temporal Iteration for Depth in Transformers(2 posts)→

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