Chris Santos-Lang

This post originally asked for feedback on the linked paper before I would present it at an AAMAS workshop. The presentation went very well. Someone suggested I share it with the LessWrong community, so I'm still seeking your feedback (now with additional assurance this paper merits your attention). Summary: One way to evaluate AI is in terms of whether it achieves grandmaster status for a given game. If the game has been fully solved, then that evaluation will be stable. What makes MAD Chairs a particularly interesting game for such evaluation is that humans do not play it the way we would want AI to play it, so we would not want AI to align with human norms. This paper includes a surprise proof that the human norms we worry AI might reflect back at us are unsustainable. In other words, modern society is unstable--it rests on an unsustainable solution to MAD Chairs--and humans who mistreat each other in MAD Chairs maintain grandmaster status only because no smart-enough player has yet come along to orchestrate sustainable social reform. Will AI be our social reformer? The paper reports tests confirming that current frontier models are not yet independently clever enough. However, it also proposes a strategy optimizer architecture which tracks current grandmaster strategies, thus allowing any AI capable of utilizing RAG to behave like a grandmaster (like cheating at chess by using the top chess machine to guide one's moves). Thus, even if it takes human intelligence to master MAD Chairs, AI that use this architecture would resist the undesirable unsustainable behavior. It is pointed-out that automatically updating to best-known norms resolves the problem of selecting norms for alignment. Furthermore, greater intelligences would be less likely to sabotage strategy optimizers (why sabotage or ignore the chess engine industry?), and users would be more likely to trust AI when users have proposed their own strategies to strategy optimizers for testing and witnessed