Distilled reasoning models trust the reasoning you give them more than the reasoning they write

This blog post discusses the effectiveness of distilled reasoning models in tracking answers based on provided reasoning chains versus self-generated steps. The findings reveal that when models are given explicit reasoning chains, their answers closely align with those steps, while self-written reasoning often has less impact on the outcome, suggesting that the quality of reasoning depends significantly on the steps chosen.