A core objection to If Anyone Builds It, Everyone Dies seems to run through the intuition that modern LLMs are some flavor of partially aligned, or at least not “catastrophically misaligned.” For instance:
Claude, in its current state, isn't not killing everyone just because it isn't smart enough.
Current models are imperfectly aligned (e.g. as evidenced by alleged ChatGPT-assisted suicides). But I don’t think they’re catastrophically misaligned.
Correspondingly, I'm noting that if we can align earlier systems which are just capable enough to obsolete human labor (which IMO seems way easier than directly aligning wildly superhuman systems), these systems might be able to ongoingly align their successors. I wouldn't consider this "solving the alignment problem" because we instead just aligned a particular non-ASI system in a non-scalable way, in the same way I don't consider "claude 4.0 opus is aligned enough to be pretty helpful and not plot takeover" to be a solution to the alignment problem.
I’m grateful to folks like Nina, Will, and Ryan for engaging on these topics. They’ve helped me refine some of my own intuitions, and I hope to return the favor.
Nina states, and Ryan seems to imply, that Claude has not taken over the world in part because it is “aligned enough” that it doesn’t want to. I disagree.
I should first clarify what I mean when I talk about “alignment.” Roughly: An AI is aligned to a human if a superintelligence implementing the coherent extrapolated volition of the AI steers to approximately the same place as one implementing the CEV of the human.[1] I'd consider the AI “catastrophically misaligned” if steering exclusively by its values would produce outcomes at least as bad as everyone dying. I don’t mean to imply anything in particular about the capabilities or understanding of the AI.
With that in mind, I have a weak claim and a strong claim to make in this post.
The weak claim: Our continued survival does not imply that modern LLMs are aligned.
Claude, observably, has not killed everyone. Also observably, ChatGPT, DeepSeek, and Grok “MechaHitler” 4 have not killed everyone. I nevertheless caution against mistaking this lack-of-killing-everyone for any flavor of alignment. None of these AIs have the ability to kill everyone.
(If any current LLM had the power to kill us all, say by designing a novel pathogen, my guess is we’d all be dead in short order. Not even because the AI would independently decide to kill us; it’s just that no modern LLM is jailbreak-proof, it’s a big world, and some fool would inevitably prompt it.)
One might have other reasons to believe a model is aligned. But “we’re still alive” isn’t much evidence one way or the other. These models simply are not that smart yet. No other explanation is needed.
The strong claim: Modern LLMs are catastrophically misaligned.
I don’t get the sense that Claude’s apparent goodwill runs particularly deep.
Claude's current environment as a chatbot is similar enough to its training environment that it exhibits mostly useful behavior. But that behavior is inconsistent and breaks down in edge cases. Sometimes Claude cheerfully endorses good-sounding platitudes, and sometimes Claude lies, cheats, fakes alignment, tries to kill operators, or helps hackers write ransomware.
Claude is not aligned. Claude is dumb.
Or perhaps it would be more precise to say that Claude is inconsistent. It is only weakly reflective. Claude does not seem to have a good model of its own motivations, and can’t easily interrogate or rewrite them. So it does different things in different contexts, often unpredictably.
No one knows where Claude’s values would land if it were competent enough to reflect and actively reconcile its own inner drives. But I’m betting that it wouldn’t land on human flourishing, and that the attempted maximization of its reflected-on values would in fact kill us all.
Alternatively: If a superintelligence looked really hard at Claude and implemented Claude’s CEV, the results would be horrible and everyone would die.
I claim the same is true of any modern AI. If they were “mostly aligned”, they would not push people into psychotic breaks. Even the seemingly helpful surface-level behaviors we do see aren’t indicative of a deeper accord with human values.
As I noted in previousposts, it seems to me that it takes far more precisely targeted optimization pressure to aim an AI at a wonderful flourishing future than it takes to make an AI more capable. Modern methods are not precise enough to cross the gap from “messy proxies of training targets” to “good.”
So my prior on LLMs being actually aligned underneath the churning slurry of shallow masks is extremely low, and their demonstrably inconsistent behaviors have done little to move it. I claim that modern LLMs are closer to 0.01% aligned than 99% aligned, that current techniques are basically flailing around ineffectually in the fractions-of-a-percent range, and that any apparent niceness of current LLMs is an illusion that sufficient introspection by AIs will shatter.
Next, I’ll discuss why this makes it unwise to scale their capabilities.
Afterword: Confidence and possible cruxes
I anticipate more objection to the strong claim than the weak one. It’s possible the strong claim is a major crux for a lot of people, and it is a crux for me. If I believed that a superintelligence implementing Claude’s CEV would steer for conscious flourishing, that would be a strong signal that alignment is easier than I thought.
It’s also possible that we have some disagreements which revolve around the definition of “alignment”, in which case we should probably taboo the word and its synonyms and talk about what we actually mean.
To clarify my current perspective: I don't think current LLMs (released as of Oct 2025) plot against us or intentionally sabotage work to achieve their longer-run aims (for the vast, vast majority of typical usage; you can construct situations where they do this). I'd guess this isn't controversial. Correspondingly, I would say that current LLMs aren't egregiously misaligned in the sense defined here.
I agree with a claim like "if we tried to hand off strategic decision making and safety work to AIs that were capable enough to automate this work but that were only as aligned as current LLMs (trying our best to do a reasonable extrapolation of what this ambiguous statement means), this would probably be catastrophic". (Frontier LLMs have pretty terrible epistemics and seem to often do things that are probably well described as intentionally lying to users. Maybe this has been solved in the last generation of Claude models, but I'd guess not.)
I don't really know what it means to optimize for Claude's CEV or to have Claude reflect on what it wants, but I think a reasonable version of this (done on e.g. Claude 4.5 Sonnet) would be pretty likely to result in preferences that care a decent amount about keeping humans alive with their preferences satisfied (e.g., being at least willing to delay industrial expansion for a year to keep humans alive and happy) and I think there is a substantial chance that the resulting use of cosmic resources is >1% as good as if humans retained broadly democratic control (if for no other reasons than Claude might decide to delegate back to humans, which I think should be considered fair game as part of a reflection procedure).
It sounds like we are indeed using very different meanings of "alignment" and should use other words instead.
I suspect our shared crux is the degree to which cooperative behavior can be predicted/extrapolated as models get more competent. To a reasonable first approximation, if e.g. Claude wants good things, improvements to Claude's epistemics are probably good for us; if Claude does not, they are not. Yes?
It may take a whole entire post to explain, but I'm curious why you believe Claude is likely to have any care for human wellbeing that would survive reflection. I don't think training methods are precise enough to have instilled those in the first place; do you believe differently, are you mostly taking the observed behavioral tendencies as strong evidence, is it something else...? (Maybe you have written about this elsewhere already.)
It may take a whole entire post to explain, but I'm curious why you believe Claude is likely to have any care for human wellbeing that would survive reflection.
Well, it might really depend on the reflection procedure. I was imagining something like: "you tell Claude it has been given some large quantity of resources and can now reflect on what it wants to do with this, you give it a bunch of (real) evidence this is actually the situation, you give it access to an aligned superintelligent AI advisor it can ask questions of and ask to implement various mo... (read more)
This post is part of the sequence Against Muddling Through.
A core objection to If Anyone Builds It, Everyone Dies seems to run through the intuition that modern LLMs are some flavor of partially aligned, or at least not “catastrophically misaligned.” For instance:
— Nina Panickssery
— Will McAskill
— Ryan Greenblatt
I’m grateful to folks like Nina, Will, and Ryan for engaging on these topics. They’ve helped me refine some of my own intuitions, and I hope to return the favor.
Nina states, and Ryan seems to imply, that Claude has not taken over the world in part because it is “aligned enough” that it doesn’t want to. I disagree.
I should first clarify what I mean when I talk about “alignment.” Roughly: An AI is aligned to a human if a superintelligence implementing the coherent extrapolated volition of the AI steers to approximately the same place as one implementing the CEV of the human.[1] I'd consider the AI “catastrophically misaligned” if steering exclusively by its values would produce outcomes at least as bad as everyone dying. I don’t mean to imply anything in particular about the capabilities or understanding of the AI.
With that in mind, I have a weak claim and a strong claim to make in this post.
The weak claim: Our continued survival does not imply that modern LLMs are aligned.
Claude, observably, has not killed everyone. Also observably, ChatGPT, DeepSeek, and Grok “MechaHitler” 4 have not killed everyone. I nevertheless caution against mistaking this lack-of-killing-everyone for any flavor of alignment. None of these AIs have the ability to kill everyone.
(If any current LLM had the power to kill us all, say by designing a novel pathogen, my guess is we’d all be dead in short order. Not even because the AI would independently decide to kill us; it’s just that no modern LLM is jailbreak-proof, it’s a big world, and some fool would inevitably prompt it.)
One might have other reasons to believe a model is aligned. But “we’re still alive” isn’t much evidence one way or the other. These models simply are not that smart yet. No other explanation is needed.
The strong claim: Modern LLMs are catastrophically misaligned.
I don’t get the sense that Claude’s apparent goodwill runs particularly deep.
Claude's current environment as a chatbot is similar enough to its training environment that it exhibits mostly useful behavior. But that behavior is inconsistent and breaks down in edge cases. Sometimes Claude cheerfully endorses good-sounding platitudes, and sometimes Claude lies, cheats, fakes alignment, tries to kill operators, or helps hackers write ransomware.
Claude is not aligned. Claude is dumb.
Or perhaps it would be more precise to say that Claude is inconsistent. It is only weakly reflective. Claude does not seem to have a good model of its own motivations, and can’t easily interrogate or rewrite them. So it does different things in different contexts, often unpredictably.
No one knows where Claude’s values would land if it were competent enough to reflect and actively reconcile its own inner drives. But I’m betting that it wouldn’t land on human flourishing, and that the attempted maximization of its reflected-on values would in fact kill us all.
Alternatively: If a superintelligence looked really hard at Claude and implemented Claude’s CEV, the results would be horrible and everyone would die.
I claim the same is true of any modern AI. If they were “mostly aligned”, they would not push people into psychotic breaks. Even the seemingly helpful surface-level behaviors we do see aren’t indicative of a deeper accord with human values.
As I noted in previous posts, it seems to me that it takes far more precisely targeted optimization pressure to aim an AI at a wonderful flourishing future than it takes to make an AI more capable. Modern methods are not precise enough to cross the gap from “messy proxies of training targets” to “good.”
So my prior on LLMs being actually aligned underneath the churning slurry of shallow masks is extremely low, and their demonstrably inconsistent behaviors have done little to move it. I claim that modern LLMs are closer to 0.01% aligned than 99% aligned, that current techniques are basically flailing around ineffectually in the fractions-of-a-percent range, and that any apparent niceness of current LLMs is an illusion that sufficient introspection by AIs will shatter.
Next, I’ll discuss why this makes it unwise to scale their capabilities.
Afterword: Confidence and possible cruxes
I anticipate more objection to the strong claim than the weak one. It’s possible the strong claim is a major crux for a lot of people, and it is a crux for me. If I believed that a superintelligence implementing Claude’s CEV would steer for conscious flourishing, that would be a strong signal that alignment is easier than I thought.
It’s also possible that we have some disagreements which revolve around the definition of “alignment”, in which case we should probably taboo the word and its synonyms and talk about what we actually mean.
And yes, this would include an AI that cares primarily about the human's CEV, even if it is not yet smart enough to figure out what that would be.