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Notes -
Regarding AI alignment -
I'm aware of and share @DaseindustriesLtd's aesthetical objection that the AI safety movement is not terribly aligned with my values itself and the payoff expectation of letting them perform their "pivotal act" that involves deputy godhood for themselves does not look so attractive from the outside, but the overall Pascal's Mugging performed by Yudkowsky, TheZvi etc. as linked downthread really does seem fairly persuasive as long as you accept the assumptions that they make. With all that being said, to me the weakest link of their narrative always actually has been in a different part than either the utility of their proposed eschaton or the probability that an AGI becomes Clippy, and I've seen very little discussion of the part that bothers me though I may not have looked well enough.
Specifically, it seems to me that everyone in the field accepts as gospel the assumption that AGI takeoff would (1) be very fast (minimal time from (1+\varepsilon) human capability to C*human capability for some C on the order of theoretical upper bounds) and (2) irreversible (P(the most intelligent agent on Earth will be an AGI n units of time in the future | the most intelligent agent on Earth is an AGI now) ~= 1). I've never seen the argument for either of these two made in any other way than repetition and a sort of obnoxious insinuation that if you don't see them as self-evident you must be kind of dull. Yet, I remain far from convinced of either (though, to be clear, it's not like I'm not convinced of their negations).
Regarding (1), the first piece of natural counterevidence to me is the existence of natural human variation in intelligence. I'm sure you don't need me to sketch in detail an explanation of why the superintelligent-relative-to-baseline Ashkenazim, or East Asians, or John von Neumann himself didn't undergo a personal intelligence explosion, but whence the certainty that this explanation won't in part or full also be relevant for superintelligent AGIs we construct? Sure, there is a certain argument that computer programs are easier to reproduce, modify and iterate upon than wetware, but this advantage is surely not infinitely large, and we do not even have the understanding to quantify this advantage in natural units. "Improving a silicon-based AI is easier than humans, therefore assume it will self-improve about instantaneously even though humans didn't" is extremely facile. It took humans like 10k years of urbanised society to get to the point where building something superior to humans at general reasoning seems within grasp. Even if that next thing is much better than us, how do we know if moving another step beyond that will take 5k, 1k, 100, 10 or 1 year, or minutes? The superhuman AIs we build may well come with their own set of architectural constraints that force them into a hard-to-leave local minimum, too. If the Infante Eschaton is actually a transformer talking to itself, how do we know it won't be forever tied down by an unfortunately utterly insurmountable tendency to exhibit tics in response to Tumblr memes in its token stream that we accidentally built into it, or a hidden high-order term in the cost/performance function for the entire transformer architecture and anything like it, for a sweet 100 years where we get AI Jeeves but not much more?
Secondly, I'm actually very partial to the interpretation that we have already built "superhuman AGI", in the shape of corporations. I realise this sounds like a trite anticapitalist trope, but being put on a bingo board is not a refutation. It may seem like an edge case given the queer computational substrate, but at the same time I'm struggling to find a good definition of superhuman AGI that naturally does not cover them. They are markedly non-human, have their own value function that their computational substrate is compelled to optimise for (fiduciary duty), and exhibit capacities in excess of any human (which is what makes them so useful). Put differently, if an AI built by Google on GPUs does ascend to Yudkowskian godhood, in the process rebuilding itself on nanomachines and then on computronium, what's the reason for the alien historian looking upon the simulation from the outside to place the starting point of "the singularity" specifically at the moment that Google launched the GPU version of the AI to further Google's goals, as opposed to when the GPU AI launched the nanomachine AI in furtherance of its own goals, or when humans launched the human-workers version of Google to further their human goals? Of all these points, the last one seems to be the most special one to me, because it marks the beginning of the chain where intelligent agents deliberately construct more intelligent agents in furtherance of their goals. However, if the descent towards the singularity has already started, so far it's been taking its sweet time. Why do we expect a crazy acceleration at the next step, apart from the ancient human tendency to believe ourselves to be living in the most special of times?
Regarding (2), even if $sv_business or $three_letter_agency builds a superhuman AI that is rapidly going critical, what's to say this won't be spotted and quickly corroborated by an assortment of Russian and/or Chinese spies, and those governments don't have some protocol in place that will result in them preemptively unloading their nuclear arsenal on every industrial center in the US? If the nukes land, the reversal criterion will probably be satisfied, and it's likely enough that the AI will be large enough and depend on sufficiently special hardware that it can't just quickly evacuate itself to AWS Antarctica. At that point, the AI may already be significantly smarter than humans, without having the capability to resist. Certainly the Yudkowsky scenario of bribing people into synthesising the appropriate nanomachine peptides can't be executed on 30 minutes' notice, and I doubt even a room full of uber-von Neumanns on amphetamines (especially ones bound to the wheelchair of specialty hardware and reliably electricity supply) could contrive a way to save itself from 50 oncoming nukes in that timespan. Of course this particular class of scenario may have very low probability, but I do not think that that probability is 0; and the more slowness and perhaps also fragility of early superhuman AIs we are willing to concede per point (1), the more opportunities for individually low-probability reversals like this arise.
All in all, I'm left with a far lower subjective belief that the LW-canon AGI apocalypse will happen as described than Yudkowsky's near-certainty that seems to be offset only by black swan events before the silicon AGI comes into being. I'm gravitating towards putting something like a 20% probability on it, without being at all confident in my napkinless mental Bayesianism, which is of course still very high for x-risk but makes the proposed "grow the probability of totalitarian EA machine god" countermeasure look much less attractive. It would be interesting to see if something along the lines of my thoughts above has already been argued against in the community, or if there is some qualitative (because I consider the quantitative aspect to be a bit hopeless) flaw in my lines of reasoning that stands out to the Motte.
The argument that is convincing to me is that once an AI is as good at reasoning as us, which should be possible as we are likely not extra physical beings, the advantage it has is time. With generous hardware scaling even if we can't make it straight up better at reasoning we can give it a thousand human lifetimes a second where its memory doesn't decay at all to try and do a better job than we did at designing an ai. By my estimates you vastly underrate this kind of scaling.
I think AI really does need to be better at reasoning. For instance if you give me a thousand lifetimes, or to make it more ridiculous, a dog million life times, I wouldn't expect a theory of quantum gravity out of it. Some problems are just too hard to solve.
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