Debate: Reasoning Models Defined by Inference Graph Depth, Not Layer Count
gleech · x · 2026-09-02
A technical debate suggests that the defining characteristic of a reasoning model is the depth of the computation graph at inference time, rather than the literal depth of the model layers. The success of the o-series is attributed to increased expressivity in inference time depth. Cited OpenAI staff Merett notes that current frontier models' inference graph depths are within a factor of two of GPT-4, and that monitoring Chain-of-Thought remains a core research goal for alignment.
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