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Very capable AI will be harder to align than current systems, because the loop of spotting a bad behaviour and patching the training that caused it breaks down.

Drawn from what Ryan Greenblatt said

What Ryan Greenblatt actually said

  1. Ryan Greenblatt Chief scientist at Redwood Research
    when AIs are extremely extremely capable my view is that those AIs will be harder to align than current systems. So for current systems, we have this feedback loop where we basically like we create an AI. We do some evaluations on it. We see that it has some kind of messed up behavior that we can kind of quickly understand. Then we like can like go look in training and be like, "Oh, the these training environments led to this problematic behavior. Let's like tweak that training data. Let's introduce some additional training data to like correct this other issue and then move forward from there." But in a regime where the AIs are extremely situationally aware, very very very very capable and um you know uh we don't necessarily understand what they're doing, this feedback loop breaks down.

    Watch from 1:12:38 plays here

    ↗Ryan Greenblatt – What happens once AI can automate AI research?youtube.com

    11 Aug 2026 · video · 2h 12m · spoken · machine transcript

    All 26 korrents from this recordingthis one is 18th

Added to korrents 7 Sept 2026 · How quotes work · Something wrong? Tell us

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