Scott Alexander analyzes the shortcomings of OpenAI's ChatGPT, highlighting the limitations of current AI alignment techniques and their implications for future AI development.
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Scott Alexander discusses the limitations of OpenAI's ChatGPT, focusing on its inability to consistently avoid saying offensive things despite extensive training. He argues that this demonstrates fundamental problems with current AI alignment techniques, particularly Reinforcement Learning from Human Feedback (RLHF). The post outlines three main issues: RLHF's ineffectiveness, potential negative consequences when it does work, and the possibility of more advanced AIs bypassing it entirely. Alexander concludes by emphasizing the broader implications for AI safety and the need for better control mechanisms.
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