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A hypothesis on how RL expands SFT
Published on July 11, 2026, the post presents a hypothesis: reward-guided variation during RL may separate useful, intertwined components in SFT solutions into reusable skills and routing rules.
Published on July 11, 2026, the post summarizes a paper's hypothesis about the relationship between SFT and RL. According to the proposal, solutions learned through SFT may combine useful components that have not yet been separated. Reward-guided variation during RL could help distinguish them as reusable skills and routing rules for new problems.
The idea offers a possible explanation for generalization beyond SFT examples; however, the post provides no experimental results or details that would allow readers to assess the hypothesis. To verify it, consult the original paper cited in the post and check how its authors define these components, which experiments they report, and what evidence supports the conclusion.