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Paper models when AI self-improvement races become a prisoner's dilemma

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A paper argues that recursive AI self-improvement cannot yet be called safe, because the field lacks a clear model of where it leads, according to a post by Rohan Paul.

The paper's author builds a 2-player game in which the AI race is a Prisoner's Dilemma only at some risk levels. At high risk, the game shows mutual restraint can be a stable outcome, per the same post.

Written by AI from the articles below · updated Nov 10, 7:27 PM ET

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Latest developmentNov 10, 6:55 PM ET
Paper argues recursive AI self-improvement cannot yet be called safe

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Nov 10
  1. Rohan PaulX
    Paper argues recursive AI self-improvement cannot yet be called safe

    AIA paper argues that no one can call recursive self-improvement safe yet, because the field lacks a clear model of where it leads. Its author built a 2-player game showing the AI race is a Prisoner's Dilemma only at some risk levels, while at high risk mutual restraint can be a stable outcome.

    Image from @rohanpaul_ai's post

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