A new arXiv paper proposes a definition of good AI explanations based on counterfactuals and the user's prior beliefs. The authors argue that LLM outputs are uniquely difficult to explain under this rigorous philosophical lens. This framework provides a theoretical benchmark for researchers attempting to improve model interpretability and user trust.