Yeah, the sentence cut off. I was saying: obviously a 10% risk is socially unacceptable. Trying to convince someone it’s not in their interest is not the right approach, because doing so requires you to argue that P(doom) is much greater than 10% (at least with some audiences who care a lot about winning a race). Whereas trying to convince policy makers and the public that they shouldn’t tolerate the risk requires meeting a radically lower bar, probably even 1% is good enough.
I think arguing P(doom|AGI) >>10% is a decent strategy. So far I haven’t had anyone give good enough reasons for me to update in the other direction. I think the CEOs in the vanguard of AGI development need to really think about this. If they have good reasons for thinking that P(doom|AGI) ≤ 10%, I want to hear them! To give a worrying example: LeCun is, frankly, sounding like he has no idea of what the problem even is. OpenAI might think they can solve alignment, but their progress on alignment to date isn’t encouraging (this is so far away from the 100% watertight, 0 failure modes that we need). And Google Deepmind are throwing caution to the wind (despite safetywashing their statement with 7 mentions of the word “responsible”/”responsibly”).
The above also has the effect of shifting the public framing toward the burden being on the AI companies to prove their products are safe (in terms of not causing global catastrophe). I’m unsure as to whether the public at large would tolerate a 1% risk. Maybe they would (given the potential upside). But we are not in that world. The risk is at least 50%, probably closer to 99% imo.
Yeah, the sentence cut off. I was saying: obviously a 10% risk is socially unacceptable. Trying to convince someone it’s not in their interest is not the right approach, because doing so requires you to argue that P(doom) is much greater than 10% (at least with some audiences who care a lot about winning a race). Whereas trying to convince policy makers and the public that they shouldn’t tolerate the risk requires meeting a radically lower bar, probably even 1% is good enough.
I think arguing P(doom|AGI) >>10% is a decent strategy. So far I haven’t had anyone give good enough reasons for me to update in the other direction. I think the CEOs in the vanguard of AGI development need to really think about this. If they have good reasons for thinking that P(doom|AGI) ≤ 10%, I want to hear them! To give a worrying example: LeCun is, frankly, sounding like he has no idea of what the problem even is. OpenAI might think they can solve alignment, but their progress on alignment to date isn’t encouraging (this is so far away from the 100% watertight, 0 failure modes that we need). And Google Deepmind are throwing caution to the wind (despite safetywashing their statement with 7 mentions of the word “responsible”/”responsibly”).
The above also has the effect of shifting the public framing toward the burden being on the AI companies to prove their products are safe (in terms of not causing global catastrophe). I’m unsure as to whether the public at large would tolerate a 1% risk. Maybe they would (given the potential upside). But we are not in that world. The risk is at least 50%, probably closer to 99% imo.