About Me
Scientist by training, coder by previous session,philosopher by inclination, musician against public demand.
Why I am not a Doomer
I’m specifically addressing the argument for a high probability of near extinction (doom) from AI...
Eliezer Yudkowsky: “Many researchers steeped in these issues, including myself, expect that the most likely result of building a superhumanly smart AI, under anything remotely like the current circumstances, is that literally everyone on Earth will die. ”
....not whether it is barely possible, or whether other, less bad outcomes (dystopias) are probable. I’m coming from the centre, not the other extreme
Doom, complete or almost complete extinction of humanity, requires a less than superintelligent AI to become superintelligent either very fast , or very surreptitiously … even though it is starting from a point where it does not have the resources to do either.
The “very fast” version is foom doom...Foom is rapid recursive self improvement (FOOM is supposed to represent a nuclear explosion)
The classic Foom Doom argument (https://www.greaterwrong.com/posts/kgb58RL88YChkkBNf/the-problem) involves an agentive AI that quickly becomes powerful through recursive self improvement, and has a value/goal system that is unfriendly and incorrigible.
The complete argument for Foom Doom is that:-
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The AI will have goals/values in the first place (it wont be a passive tool like GPT*),.
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The values will be misaligned, however subtly, to be unfavorable to humanity.
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That the misalignment cannot be detected or corrected.
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That the AI can achieve value stability under self modification.
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That the AI will self modify in way too fast to stop.
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That most misaligned values in the resulting ASI are highly dangerous (even goals that aren’t directly inimical to humans can be a problem for humans, because the AS I might want to director sources away from humans.
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And that the AI will have extensive opportunities to wreak havoc: biological warfare (custom DNA can be ordered by email), crashing economic systems (trading can be done online), taking over weapon systems, weaponing other technology and so on.
It’s a conjunction of six or seven claims, not just one. ( I say “complete argument ” because pro doomers almost always leave out some stages. I am not convinced that rapid self improvement and incorrigibility are both needed, both needed, but I am sure that one or the other is. Doomers need to reject the idea that misalignment can be fixed gradually, as you go along. . A very fast-growing ASI, foom, is way of doing that; and assumption that AI’s will resist having their goals changed is another).
Obviously the problem is that to claim a high overall probability of doom, each claim in the chain needs to have a high probability. It is not enough for some of the stages to be highly probable, all must be.
There are some specific weak points.
Goal stability under self improvement is not a given: it is not possessed by all mental architectures, and may not be possessed by any, since noone knows how to engineer it, and humans appear not to have it.
The Orthogonality Thesis (https://www.lesswrong.com/w/orthogonality-thesis)is sometimes mistakenly called on to support to support goal stability. It implies that a lot of combinations of goals and intelligence levels are possible, but doesn’t imply that all possible minds have goals, or that all goal driven agents have fixed, incorrigible goals. There are goalless and corrigible agents in mindspace, too. That’s not just an abstract possibility. At the time of writing, 2025, our most advanced AI’s, the Large Language Models, are non agentive and corrigible.
It is plausible that an agent would desire to preserve its goals, but the desire to preserve goals does not imply the ability to preserve goals. Therefore, no goal stable system of any complexity exists on this planet, and goal instability cannot be assumed as a default or given. So the orthogonality thesis is true of momentary combinations of goal and intelligence, given the provisos above, but not necessarily true of stable combinations.
Another thing that doesn’t prove incorrigibility or goal stability is von Neumann rationality. Frequently appealed to in MIRI ’s early writings , it is an idealised framework for thinking about rationality , that doesn’t app!y to humans, and therefore doesn’t have to apply to any given mind.
There are arguments that AI’s will become agentive because that”s what humans want. Gwerns Branwen’s confusingly titled “Why Tool AIs Want to Be Agent AIs” ( https://gwern.net/tool-ai) is an example. This is true, but in more than one sense:-
The basic idea is that humans want agentive AI’s because they are more powerful. And people want power, but not at the expense of control. Power that you can’t control is no good to you. Taking the brakes off a car makes it more powerful, but more likely to kill you. No army wants a weapon that will kill their own soldiers, no financial organisation wants a trading system that makes money for someone else, or gives it away to charity, or causes stick market crashes. The maximum amount of power and the minimum of control is an explosion.
One needs to look askance at what “agent” means as well. Among other things, it means an entity that acts on behalf of a human—as in principal/agent.(https://en.m.wikipedia.org/wiki/Principal–agent_problem) An agent is no good to its principal unless it has a good enough idea of its principal’s goals. So while people will want agents, they wont want misaligned ones—misalgined with themselves, that is. Like the Orthogonality Thesis, the argument is not entirely bad news.
Of course, evil governments and corporations controlling obedient superintelligences isn’t a particularly optimistic scenario, but it’s dystopia, not doom.
Yudkowsky’s much repeated argument that safe , well-aligned behaviour is a small target to hit … could actually be two arguments.
One would be the random potshot version of the Orthogonality Thesis, where there is an even chance of hitting any mind, and therefore a high chance ideas of hitting an eldritch, alien mind. But equiprobability is only one way of turning possibilities into probabilities, and not particularly realistic. Random potshots aren’t analogous to the probability density for action of building a certain type of AI, without knowing much about what it would be.
While, many of the minds in mindpsace are indeed weird and unfriendly to humans, that does not make it likely that the AIs we will construct will be. we are deliberately seeking to build certainties of mind for one thing, and have certain limitations, for another. Current LLM ’s are trained in vast copora of human generated content, and inevitably pick up a version of human values from them.
Another interpretation of the Small Target Argument is, again , based on incorrigibility. Corrigibility means you can tweak an AI’s goals gradually, as you go on, so there s no need to get them exactly right on the first try.
ETA
For what value of “aligned”? The current state of play is thanking just about anything could be said to be aligned or misaligned, sending in exactly what the speaker means by the terms.
There is a lot of semantic confusion between people who use “alignment” in an engineering sense,meaning something that renders current AI safe in good enough way—and the people who use it to mean a maths style solution , that applies perfectly to every case. A completely unaligned AI would be completely unco-operative , and therefore of no commercial use, so the prevailing level of alignment isn’t zero.
You even acknowledge that there are different kinds of alignment here:-
That need not be an argument against good enough alignment.
One way alignment can be made to look difficult is stating that it has to be done in a maximal way to achieve minimal results. The minimal result is not killing us, all, the maximal way is instilling into the AI every nuance of human value including aesthetic value. Under circumstances when a powerful ASI takes over and starts running things according to its original programming, without listening to feedback, a detailed knowledge of human values would be necessary to create a utopia. But that is a far cry from not killing us all.
Another way of making successful alignment look difficult is the making the assumption that AI’s will become very powerful , very quickly, in an unsupervised way, so that humans only have one chance to get alignment correct, before the ASI becomes too powerful to listen to humans. That’s the idea underlying the Fragility of Value. It doesn’t actually matter how complex or subtle value is , so long as you can tweak a specification of value at leisure. If course, a fast “take off” isn’t impossible, it is too often treated as a certainty, and too often left as an implicit assumption
That looks another semantic confusion. If they are remarkably non-agentic, why not round them down to non-agents?
The negation of a conjunction is a disjunction.
https://en.wikipedia.org/wiki/De_Morgan’s_laws
The argument for Doom is mostly or wholly conjunctive, so the argument for no-doom is mostly or wholly disjunctive. If ASI is impossible, no doom, if ASI is not placed in charge of everything, no doom, etc.
To put it a other way , if A is low probability, not-A can’t also be.
The multi stage fallacy is not a fallacy in the sense that conjunctive arguments are never unlikely: rather there are pitfalls in multi stage arguments.