Evaluating AI Reasoning Models

This chapter explores the assessment of faithfulness in AI reasoning models, particularly through their responses to hint-based evaluations. It reveals inconsistencies in model answers when presented with hints, discussing phenomena such as reward hacking and the implications for transparency in AI reasoning.