Thanks for this.
In each the examples you give, i’m thinking that the pause would be significantly more beneficial (plausibly by 10x) if we pause when AI is already capable enough that it can significantly help us solve the issue. In general, they seem like the kinds of issues where AI could massively accelerate progress.
So if i’m choosing between international pause now vs international pause in 2 years, I choose the latter. (I assume we’re talking about international pauses here rather than just the U.S. but lmk if you also support a unilateral pause now!)
I do find Holly’s point that it might be damaging to quibble about exactly when we pause if that reduces the chance of a pause happening at all. And today we are very far from a pause actually happening, and one may well be needed in two years’ time, so I def support efforts to get us closer to a pause!
I’m hesitant about saying “pause now” because I actually think a different policy might be much more effective. But I think a world where we were about to do an international pause would be better than the actual world.
(I want to think more about this topic and all of this is v tentative.)
Sorry for the slow reply!
Thanks, this is a helpful perspective.
I’ve normally thought from a frame of “we’ve got limited chips to spend on pausing, when is it best to spend them”. I think this frame is reasonable if you’re worried about irresponsible developers catching up or tradeoffs with the current gen’s desire to survive.
But it is true that a pause today might make a pause in the future more likely.
Otoh, it could also make it less likely if ppl perceive that nothing concretely useful comes out of it, which is my worry with pausing today. Like, i think ~nothing useful would have come from pausing shortly after GPT-4 was released.
Do you think this is possible with today’s AI capabilities? I’d have thought you can’t match human philosophy and strategy yet, but we are def getting closer.
Also, how do you think about whether to slow down vs pause, holding fixed the total delay relative to ‘full speed ahead’? I’d have thought slow down is better re iterating on alignment as problems arise and re building philosophically competent AIs.
Interesting. I normally expect AI to accelerate philosophy and strategy less than the math/coding but more than science/tech. Science/tech rely on experimental bottlenecks, whereas for philosophy the only input is cognitive labour. But you’re right, if AI can’t do philosophy/strategy properly, it won’t speed it up at all! So far, AI systems have been pretty good at these skills though?