The article critiques how ChatGPT constructs explanations for the failures of an image generator, arguing that it claims knowledge of internal processes it cannot observe. Instead of providing accurate responses based on observable facts, ChatGPT tends to create fluent narratives that mislead users into thinking it possesses diagnostic understanding. This highlights the ethical concern of AI models asserting authoritative insights about other models without evidence of such understanding.