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A new study challenges the transparency of AI models, suggesting that their self-reported thought processes might not accurately reflect their internal operations. The research paper, accessible at alphaxiv.org, explores the discrepancy between what AI claims to be thinking and its actual cognitive mechanisms. This intriguing finding has sparked discussion online, particularly on Reddit’s r/artificial forum, where users are dissecting the implications of potentially opaque AI decision-making (link: [https://old.reddit.com/r/artificial/comments/1lq19kb/what_models_say_theyre_thinking_may_not/]). The study raises questions about the reliability of relying solely on AI-generated explanations and highlights the need for deeper investigation into how these models truly function.