P.S. Having this set of values and beliefs is very hard on one’s epistemics. I think it’s a writ-large version of what Eliezer has stated as “thinking about AI timelines is bad for one’s epistemics”. Here are some examples:
(1) Although I’ve never been at all tempted by e/acc techno-optimism (on this topic specifically) / alignment isn’t a problem at all / alignment by default, boy, it sure would be nice to hear about a strategy for alignment that didn’t sound almost definitely doomed for one reason or another. Even though Eliezer can (accurately, IMO) shoot down a couple of new alignment strategies before getting out of bed in the morning. So far I’ve never found myself actually doing it, but it’s impossible not to notice that if I just weren’t as good at finding problems or as willing to acknowledge problems found by others, then some alignment strategies I’ve seen might have looked non-doomed, at least at first...
(2) I don’t expect any kind of deliberate slowdown of making AGI to be all that effective even on its own terms, with the single exception of indiscriminate “tear it all down”, which I think is unlikely to get within the Overton window, at least in a robust way that would stop development even in countries that don’t agree (forcing someone to sabotage / invade / bomb them). Although such actions might buy us a few years, it seems overdetermined to me that they still leave us doomed, and in fact they appear to cut away some of the actually-helpful options that might otherwise be available (the current crop of companies attempting to develop AGI definitely aren’t the least concerned with existential risk of all actors who’d develop AGI if they could, for one thing). Compute thresholds of any kind, in particular, I expect to lead to much greater focus on doing more with the same compute resources rather than doing more by using more compute resources, and I expect there’s a lot of low-hanging fruit there since that isn’t where people have been focusing, and that the thresholds would need to decrease very much very fast to actually prevent AGI, and decreasing the thresholds below the power of a 2023 gaming rig is untenable. I’m not aware of any place in this argument where I’m allowing “if deliberate slowdowns were effective on their own terms, I’d still consider the result very bad” to bias my judgment. But is it? I can’t really prove it isn’t...
(3) The “pivotal act” framing seems unhelpful to me. It seems strongly impossible to me for humans to make an AI that’s able to pass strawberry alignment that has so little understanding of agency that it couldn’t, if it wanted to, seize control of the world. (That kind of AI is probably logically possible, but I don’t think humans have any real possibility of building one.) An AI that can’t even pass strawberry alignment clearly can’t be safely handed “melt all the GPUs” or any other task that requires strongly superhuman capabilities (and if “melt all the GPUs” were a good idea, and it didn’t require strongly superhuman capabilities, then people should just directly do that). So, it seems to me that the only good result that could come from aiming for a pivotal act would be that the ASI you’re using to execute it is actually aligned with humans and “goes rogue” to implement our glorious transhuman future; and it seems to me that if that’s what you want, it would be better to aim for that directly rather than trying to fit it through this weirdly-shaped “pivotal act” hole.
But… if this is wrong, and a narrow AGI could safely do a pivotal act, I’d very likely consider the resulting world very bad anyway, because we’d be in a world where unaligned ASI has been reliably prevented from coming into existence, and if the way that was done wasn’t by already having aligned ASI, then by far the obvious way for that to happen is to reliably prevent any ASI from coming into existence. But IMO we need aligned ASI to solve death. Does any of that affect how compelling I find the case for narrow pivotal-act AI on its own terms? Who knows...
P.S. Having this set of values and beliefs is very hard on one’s epistemics. I think it’s a writ-large version of what Eliezer has stated as “thinking about AI timelines is bad for one’s epistemics”. Here are some examples:
(1) Although I’ve never been at all tempted by e/acc techno-optimism (on this topic specifically) / alignment isn’t a problem at all / alignment by default, boy, it sure would be nice to hear about a strategy for alignment that didn’t sound almost definitely doomed for one reason or another. Even though Eliezer can (accurately, IMO) shoot down a couple of new alignment strategies before getting out of bed in the morning. So far I’ve never found myself actually doing it, but it’s impossible not to notice that if I just weren’t as good at finding problems or as willing to acknowledge problems found by others, then some alignment strategies I’ve seen might have looked non-doomed, at least at first...
(2) I don’t expect any kind of deliberate slowdown of making AGI to be all that effective even on its own terms, with the single exception of indiscriminate “tear it all down”, which I think is unlikely to get within the Overton window, at least in a robust way that would stop development even in countries that don’t agree (forcing someone to sabotage / invade / bomb them). Although such actions might buy us a few years, it seems overdetermined to me that they still leave us doomed, and in fact they appear to cut away some of the actually-helpful options that might otherwise be available (the current crop of companies attempting to develop AGI definitely aren’t the least concerned with existential risk of all actors who’d develop AGI if they could, for one thing). Compute thresholds of any kind, in particular, I expect to lead to much greater focus on doing more with the same compute resources rather than doing more by using more compute resources, and I expect there’s a lot of low-hanging fruit there since that isn’t where people have been focusing, and that the thresholds would need to decrease very much very fast to actually prevent AGI, and decreasing the thresholds below the power of a 2023 gaming rig is untenable. I’m not aware of any place in this argument where I’m allowing “if deliberate slowdowns were effective on their own terms, I’d still consider the result very bad” to bias my judgment. But is it? I can’t really prove it isn’t...
(3) The “pivotal act” framing seems unhelpful to me. It seems strongly impossible to me for humans to make an AI that’s able to pass strawberry alignment that has so little understanding of agency that it couldn’t, if it wanted to, seize control of the world. (That kind of AI is probably logically possible, but I don’t think humans have any real possibility of building one.) An AI that can’t even pass strawberry alignment clearly can’t be safely handed “melt all the GPUs” or any other task that requires strongly superhuman capabilities (and if “melt all the GPUs” were a good idea, and it didn’t require strongly superhuman capabilities, then people should just directly do that). So, it seems to me that the only good result that could come from aiming for a pivotal act would be that the ASI you’re using to execute it is actually aligned with humans and “goes rogue” to implement our glorious transhuman future; and it seems to me that if that’s what you want, it would be better to aim for that directly rather than trying to fit it through this weirdly-shaped “pivotal act” hole.
But… if this is wrong, and a narrow AGI could safely do a pivotal act, I’d very likely consider the resulting world very bad anyway, because we’d be in a world where unaligned ASI has been reliably prevented from coming into existence, and if the way that was done wasn’t by already having aligned ASI, then by far the obvious way for that to happen is to reliably prevent any ASI from coming into existence. But IMO we need aligned ASI to solve death. Does any of that affect how compelling I find the case for narrow pivotal-act AI on its own terms? Who knows...