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    AI is strong in games but weak in the physical world, one post argues

    The post urges caution in robotics, arguing that cognitive AI techniques were pushed forward without solving alignment—getting AI to behave as intended.

    GM
    JP
    5 Sources, 19d ago, first seen 19d ago

    TLDR

    One post argues that AI techniques are strong in constrained domains such as chess, Go and math, where games allow exact simulation and math allows formal verification. It contrasts those strengths with what it describes as weak performance in the open-ended physical world. The author says cognitive AI techniques were advanced without solving alignment and urges extreme caution about repeating that approach in robotics.

    Combined views

    37.1K

    5 Sources, first seen 19d ago

    Combined views

    37.1K

    5 Sources, first seen 19d ago

    191 likes
    191 likes
    26 comments
    36 saves
    21 reposts

    Sentiment

    Positive——Negative

    Summary

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    26 comments
    36 saves
    21 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    5 Sources

    @GaryMarcusChess, go, and math are highly constrained, purely cognitive that allow exact simulation for games (and formal verification for math), and not in the open-ended physical world. As I have been arguing for over a decade AI, AI techniques for the former are strong, for the latter they are weak. That remains true. That said, we stupidly pushed the cognitive techniques without solving alignment. we should be extremely careful about doing the same in robotics.
    @BishopBlougram@GaryMarcus @SethCronin Pynchon's 1984 warning from his pro-Luddite essay: "If our world survives, the next great challenge to watch out for will come – you heard it here first – when the curves of research and development in artificial intelligence, molecular biology and robotics all converge. Oboy."

    5 Sources

    @GaryMarcusChess, go, and math are highly constrained, purely cognitive that allow exact simulation for games (and formal verification for math), and not in the open-ended physical world. As I have been arguing for over a decade AI, AI techniques for the former are strong, for the latter they are weak. That remains true. That said, we stupidly pushed the cognitive techniques without solving alignment. we should be extremely careful about doing the same in robotics.
    @BishopBlougram@GaryMarcus @SethCronin Pynchon's 1984 warning from his pro-Luddite essay: "If our world survives, the next great challenge to watch out for will come – you heard it here first – when the curves of research and development in artificial intelligence, molecular biology and robotics all converge. Oboy."