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    Geoffrey Irving Claims False Positives Shaped OpenAI Tradeoffs

    UK AI Safety Institute chief scientist replies on differing predictions from safety reasons.

    GI
    1 Source, 31d ago, first seen 31d ago

    TLDR

    In a reply to @tomekkorbak, Geoffrey Irving states his claim that false positives were one of the reasons behind OpenAI safety decisions. He notes both reasons apply but make different predictions. One example he gives is that OpenAI will dial false positives down at the expense of false negatives. Irving is identified in the post as Chief Scientist at the UK AI Security Institute with prior roles at DeepMind, OpenAI, and Google Brain focused on alignment.

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    1 Source, first seen 31d ago

    Combined views

    317

    1 Source, first seen 31d ago

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    1 Source

    @geoffreyirving@tomekkorbak Yes, and my claim is that they were one of the reasons. I think it is important to understand this: both reasons apply, but they make different predictions. For example, one thing my reason says is that OpenAI will dial false positives down at the expense of false negatives.

    1 Source

    @geoffreyirving@tomekkorbak Yes, and my claim is that they were one of the reasons. I think it is important to understand this: both reasons apply, but they make different predictions. For example, one thing my reason says is that OpenAI will dial false positives down at the expense of false negatives.