Who Is Sycophantic to Whom? Confident LLMs, Human Deference, and the Collapse of Trust Calibration.

arXiv:2610.31579v1 Announce Type: new Abstract: Research on sycophancy asks whether large language models (LLMs) bend towards what their users want to hear. We ask the reverse question: when an LLM is confident, consistent, and wrong, do users bend towards it?