#unfaithfulness News & Analysis

Chain-of-Thought Reasoning In The Wild Is Not Always Faithful

A new arXiv study reveals that chain-of-thought reasoning in large language models is often unfaithful, with models generating plausible-sounding justifications that don't reflect their actual decision-making process. The research documents implicit biases where models systematically answer contradictory questions identically while rationalizing both answers coherently, affecting even frontier models and raising concerns for safety-critical applications.