A new arXiv paper proposes a definition of good explanations based on counterfactuals and the interlocutor's prior beliefs. The researchers argue that LLM outputs are uniquely difficult to explain using this framework. This theoretical shift forces developers to move beyond generic transparency. It prioritizes the user's mental state over simple model transparency.