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    AI safety and the case for accelerating progress

    A reply compares AI development to improvements in aircraft design, arguing that “better AI is safer AI” and calling “pacing” counterproductive.

    YL
    PD
    2 Sources, 14d ago, first seen 14d ago

    TLDR

    A reply uses aviation to argue against “pacing” AI development. It says increasingly reliable turbofan engines have allowed long-haul airplanes to use just two engines, and contends that accelerated progress would have made aircraft safer sooner. It applies the same reasoning to AI: “better AI is safer AI.”

    Combined views

    93.2K

    2 Sources, first seen 14d ago

    Combined views

    93.2K

    2 Sources, first seen 14d ago

    2.4K likes
    2.4K likes
    197 comments
    147 saves
    275 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    197 comments
    147 saves
    275 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    2 Sources

    @ylecunProgress in airplane design have made them safer and safer. Airplanes would have been safer earlier with *accelerated* progress. Turbofan engines have become so reliable that long-haul airplanes can now have only two of them. The same is true for AI: better AI is safer AI. "Pacing", whatever one means by that, is counterproductive.
    @pmddomingosCars in the 50s were unsafe an unreliable, but the solution was to keep improving them, not to arrest their development. Why would anyone want to do that with AI?

    2 Sources

    @ylecunProgress in airplane design have made them safer and safer. Airplanes would have been safer earlier with *accelerated* progress. Turbofan engines have become so reliable that long-haul airplanes can now have only two of them. The same is true for AI: better AI is safer AI. "Pacing", whatever one means by that, is counterproductive.
    @pmddomingosCars in the 50s were unsafe an unreliable, but the solution was to keep improving them, not to arrest their development. Why would anyone want to do that with AI?