Research2h ago
LLMs Interpret Intent After Generation
A new analysis explores how large language models retroactively generate intentions for their outputs. The study examines a specific case of a blues song produced by an AI. This suggests a gap between actual processing and reported reasoning. Practitioners should treat model self-explanations as post-hoc justifications rather than real-time logic.