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Ramez Naam x.com

"Iterative deployment [..] is also how we align AI." 100% this. It's how we do most things. There will be no perfect theory of alignment. There will be an enormous amount of learning by doing.

AI alignmentiterativealign

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Top people

14 September

19 August

Anil SethPapers

13 August

Yoshua Bengiox.com

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11 August

Ryan GreenblattKorrents

  • Their words

    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.

    youtube.com

22 July

Stephen Wolframx.com

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Colin Percivalx.com

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10 May

Eric RiesKorrents

22 January

Jan LeikeKorrents

23 November 2025

Eugene YanSite

22 November 2024

Jan LeikeNewsletter

9 November 2024

Eugene YanGitHub

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