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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score47

Paper Uses a Two-Player Game to Examine Risks in the AI Self-Improvement RaceMachine translation

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The paper argues that recursive self-improvement cannot yet be called safe because there is no clear way to assess where it leads. Its two-player game suggests the race is a Prisoner's Dilemma only at some risk levels; at high risk, both sides holding back can be a stable outcome.

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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.

Source: Rohan Paul · x.com

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