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Rohan Paul· @rohanpaul_ai · X· · 原发布时间 AI 评分54

一篇论文质疑递归自我改进的安全判断

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论文认为,目前还无法断言 AI 递归自我改进是安全的,因为其发展方向尚缺乏清晰的分析方式。作者提出的双人博弈模型显示,竞赛只在某些风险水平下构成囚徒困境;风险较高时,双方暂缓推进也可能是稳定结果。

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– https://t.co/fG6X0jD22z

Title: "Is Recursive Self-Improvement Safe?"

回复Rohan Paul@rohanpaul_ai
This paper argues that no one can call recursive self-improvement safe yet, because we lack even a clear way to think about where it leads. Recursive self-improvement, or RSI, means an AI builds a better AI, which builds a better one, and so on. AI companies are starting to pursue it, with no shared view of when it would be safe. As an ordinary user, the author got an AI to train a small LLM from scratch from 1 high-level prompt. At a https://t.co/I8EjyOkuK6 safety workshop, experts listed very different conditions for RSI because they imagined very different outcomes. His 2-player game shows the RSI race is a Prisoner's Dilemma only at some risk levels. At high risk, both sides holding back is a stable outcome, so waiting together can work.
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来源:Rohan Paul · x.com

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