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    Geoffrey Irving Backs Sloppy Empirics Plus Principles for AI Safety

    UK AISI chief scientist comments on pairing empirical work with rigorous research amid fast AI progress.

    GI
    1 Source, 26d ago, first seen 26d ago

    TLDR

    Geoffrey Irving replied that a mix of sloppy empirics and a few principles stands a better chance than empirics alone. He stated there remains some shot even if progress moves fast, because rigorous research could still produce key changes. Irving holds the role of Chief Scientist at the UK AI Security Institute. His earlier positions include work at DeepMind, OpenAI, and Google Brain centered on alignment. The comment addresses research strategies without claiming any specific outcome or broader consensus.

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    640

    1 Source, first seen 26d ago

    Combined views

    640

    1 Source, first seen 26d ago

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    3 comments
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    1 Source

    @geoffreyirvingThird, I think there is a shot even if progress is fast! Part of my "there's some chance sloppy empirics work" take is that there's also some chance rigorous research produces a few key changes. "Sloppy empirics + a few principles" has a better shot than "sloppy empirics" alone.

    1 Source

    @geoffreyirvingThird, I think there is a shot even if progress is fast! Part of my "there's some chance sloppy empirics work" take is that there's also some chance rigorous research produces a few key changes. "Sloppy empirics + a few principles" has a better shot than "sloppy empirics" alone.