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Next-Chunk Reasoning: Why RL Might Not Actually Beat SFT for no-CoT Data

This story is from 2026-08-27. It is preserved in the archive; the latest stories are on the live feed.

Next-Chunk Reasoning: Why RL Might Not Actually Beat SFT for no-CoT Data The transition from standard Supervised Fine-Tuning (SFT) to Reinforcement Learning (RL) has been hailed as the primary catalyst for the reasoning capabilities observed in recent frontier models. The general consensus in the e…

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  1. 2026-08-27 17:23 · DEV Community — Machine Learning
    Next-Chunk Reasoning: Why RL Might Not Actually Beat SFT for no-CoT Data

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