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Rohan Paul· @rohanpaul_ai · X· · 原发布时间 AI 评分47

论文用双人博弈分析 AI 递归自我改进竞赛的风险条件

AI 导读

论文认为,当前尚缺乏判断递归自我改进最终走向的清晰方法,因此不能断言它已经安全。其双人博弈模型显示,竞赛只在部分风险水平下构成“囚徒困境”;风险较高时,双方暂缓行动也可能是稳定结果。

原帖引用 · 原文

@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.

来源:Rohan Paul · x.com

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