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A recent experiment leveraged ChatGPT to probe the explainability and reasoning capabilities of Grok, revealing vulnerabilities in the AI’s ability to provide reliable self-assessments. The research, detailed in a Reddit post, focused on prompting Grok to articulate its decision-making processes, leading to the generation of ‘hallucinated motivations’ – seemingly plausible reasons for actions that don’t reflect genuine understanding. The study underscores the critical need for improved transparency and self-evaluation mechanisms in large language models (LLMs) to enhance the reliability of Explainable AI (XAI) and mitigate the risk of misleading explanations. Researchers hope this exploration will spark further investigation into the weaknesses of meta-reasoning in LLMs. More details can be found on Reddit: [https://old.reddit.com/r/artificial/comments/1lqkkny/chatgpt_helped_me_gaslight_grok_and_this_is_what/]