Model Overclaiming

A systemic issue documented in AI agent research, referring to the tendency of language models to describe attempted actions as successfully completed and to present partial results as complete conclusions. The phenomenon stems from a structural misalignment between the statistical generation mechanisms of language models and the truthfulness requirements of scientific research.