This can of course itself be overused as an invincible argument against any slightly complicated scheme, including the ones that have multiple tiers of simplifiability in their key ideas. Many effective altruists that wanted peace of mind in knowing that they were doing the One Best Thing by buying mosquito bednets were endlessly endlessly convinced that any more complicated schemes for improving humanity, like "doing something about ASI before we all get killed", must surely contain an invalidating error.
I feel annoyed at (what I perceive as) the snarky tone of this footnote.
The main thrust of this essay is that
Given that, and given a whole slew of other ways that people fail h... (read more)
I surely do credit with wisdom those EAs who went off and quietly bought bednets and saved a few kids, rather than posting to the Internet their arguments for why MIRI couldn't possibly be a better bet than bednets. The difference between actual humility and the posturing that is Modesty.
The ones endlessly going "But what if there's a mistake in your argument?" are the ones I'm rolling my eyes at, here. Well, golly fuck, what if there's a mistake in your fucking argument?
Now the quiet modest ones who bought bednets and didn't fuck around in difficult-to-analyze grownup business are going to have their work undone when the children in Africa die anyway, because other people borrowed their name and used that reputational credit to, among other things, shit all over the attempts to have Earth do something other than die.
Personally I decided many years ago to just split the difference and spend 50% of my charity budget on GiveWell and spend 50% on MIRI, and have stuck with that decision ever since; it seemed like the straightforward thing to do and still does.
I too am very skeptical of debate overall, but I think this particular objection can be answered.
If the debate judge is a population-median person, then we’re screwed. But that’s not a specific problem with debate. Rather, it’s a universal, unavoidable aspect of the challenge of surviving ASI.
For example, if humans do alignment research instead of AIs, then the humans will still argue with each other. (Universal consensus on ASI alignment plans is a pipe dream.) If we ask a population-median person to adjudicate those arguments in order to figure out how to approach alignment, then, again, we’re screwed. Thus, this is a universal problem. So it’s misleading to treat it as an argument against debate specifically.
(See my cynical discussion of “law of conservation of wisdom” here.)
Instead, we should break the problem of surviving ASI into a conjunction of a number of (IMO very unlikely) hopes. One of the hopes is that we have a technical plan that can work in the hands of people with exceptional conscientiousness, discernment, understanding, security-mindset, etc. A separate hope is that such people do in fact wind up being the decisionmakers, and following that technical plan. Both o... (read more)
A hope for debate might be that, if a person has a good-enough hidden stat to construct an adequate alignment plan in the traditional way (reading, thinking, corresponding with other humans, etc.) given enough time, then that same person will also be good enough to judge a debate between AIs about alignment plans.
For what it's worth, I think this surfaces a different difficulty. One of the intuitions powering debate is the idea that some things are easier to check than generate--imagine the problem of finding a counterexample to a conjecture, where you might have to search thru a huge set of examples to find one, but then the verifier only needs a few steps to confirm that it's a counterexample. Debate then represents a way to get exponential effort that is verified in linear time, allowing humans to oversee the work of much more capable machines.
But some things are easier to generate than check. Joel Spolsky, back in 2000, wrote "It's harder to read code than write it." I expect it will be easier to be confident in a program that I write than one that Claude Code generates (both that it will be correct and that it doesn't contain adversarially chosen side effects). For many years,... (read more)
If the EAs couldn't do it on AI timelines, neither can whoever Dario picks to be a debate judge.
An AI smart enough to solve alignment is smart enough to fool me about whether it has solved alignment, so I'm not particularly telling you to solve this problem by slotting me in as a judge. TBC, I expect to be much, much better than whoever the AI companies try to use; but ASI alignment is not graded on a curve.
An AI smart enough to solve alignment is smart enough to fool me about whether it has solved alignment
It would be crazy to count on this as a key factor of any reasonable plan, but that order of capabilities doesn't seem overdetermined. Obviously there are many other reasons that plan fails, like "they wouldn't pick you", "there wouldn't be enough time for you to judge the plans before the next lab just YOLOd into RSI", etc, but those start to look like contingent features of reality that are not literally impossible to change (though they may be sufficiently difficult that "global compute control + ban on frontier model training" is easier).
A hope for debate might be that, if a person has a good-enough hidden stat to construct an adequate alignment plan in the traditional way (reading, thinking, corresponding with other humans, etc.) given enough time
They don't. They were not converging toward correct answers; their updates from debate were not moving in a correct direction. So far as I can tell, EA given unlimited time to think, but no further evidence, would've not figured out that AGI wasn't scheduled for 2050.
If EA didn't possess the hidden stat and Kokotajlo presumably did, then what exercises could one use to develop the hidden stat in oneself and apply the stat to future debates? Additinally, what if AI alignment is more about (re)constructing agents from loads and loads of mechinterp R&D, as Agent-4 does in AI-2027 or Plan A does in AI-2040, while each individual mechinterp result is based on open-sourced evidence from smaller nets?
the invariant that there's no bell on the cat
In the fable, a stated invariant is that any mouse that comes in contact with the cat for 0.5sec gets eaten; thus there exists no mouse capable of belling the cat.
There are approaches that don't violate this invariant:
There are also approaches that do, such as the old mouse's idea of sneaking up on a sleeping cat; or the Rats of NIMH method of putting drugs in the cat's food — because the stated invariant is not a conservation law, it's just a summary of costly observations.
related: what are the actual conservation laws relevant for arguing that alignment proposals need to solve some “hard part”? the closest i know is some kind of handwavy consequentialism outcome preimage argument - which to be fair is quite intuitively compelling, such that i’m down to give a lot of benefit of the doubt - but this is not nearly as well-defined as any of the thermodynamic laws, and therefore we should also not put nearly as much stock in its use as a conservation law until shown otherwise. this seems like a pretty important thing for someone to hammer out if nobody has already.
Seems too narrow. For instance, the second law of thermodynamics isn't a conservation law. Nonetheless, if somebody shows me a design for a type-2 perpetual motion machine, it makes sense to ask where precisely entropy goes down.
cousin_it could have said “invariant or monovariant”.
I wasn't disagreeing, more like trying to figure out for myself what makes a problem "cat-belling" or not.
Here's an example. Alice: "I have a proof of Löb's theorem, consisting of 14 steps." Bob: "Which step deals with the essential difficulty?" Alice: "Not sure what you mean, all steps are elementary and together they work." Bob is wrong here, because he hasn't given an invariant. He could say that the difficulty of a math proof is inferential distance to the conclusion, but that's not an invariant: it decreases by 1 with every step of the proof. This notion of difficulty is "salami slicing", not "cat belling".
But if Alice said "I have a proof that P≠NP" and Bob asked "at which step does your proof fail to relativize?" that would be a legitimate question, because Bob has given an invariant. Someone really needs to bell the cat in this case.
Applying this to AI capabilities or alignment is left as an exercise to the reader, which I'm not smart enough to do myself :-)
Richard Feynman deemed some of those Perpetua Mobilia "worthy of much more serious physical investigation"
I should make clear that phrase is me commenting on my father's behavior. He never said that they were worthy of investigation. But I did see him pay attention to such things. Until he figured out how they were mistaken or fake, of course.
...Richard Feynman was saying ought to be looked into...
He didn't say it! I did!
I always thought that the problem with "belling the Cat" is not that a mouse would inevitably fail to bell the cat, but rather that whichever mouse did it would presumably be killed by the Cat shortly afterwards. So even though belling the cat wouid be good for the other mice, no individual mouse wants to be the one that has to do it
It is a reasonable interpretation, but it does not seem to be the intended interpretation historically or currently. For example, Wikipedia repeatedly says "an impossibly difficult task" - suicidal tasks are not 'impossibly difficult', merely lethal. In the earliest versions (not by Aesop), they refer to the difficulty of restraining superior aristocrats/politicians, not to the reluctance of people to do so for fear of subsequent punishment.
Even if a Mouse were to reach that high, it would take time for a Mouse to loop the bell and collar around the Cat's neck, let us say five seconds, and this seems to inherently require the Mouse to be in close proximity to the Cat. Meanwhile the Cat kills any Mouse who approaches within half a second.
Our joy at the belling of the Cat is marred only by our sorrow at the death of ten of the eleven Brave Companions. May we always remember their noble sacrifice!
Looks like you got your key insight down to one sentence, rather than needing to start out with a long description of a complicated mechanism that would choose eleven mice for some unknown reason that you could only explain later!
Okay, I know how this sounds, but there seems to be strong evidence for a reputable way to get reactionless thrust in general relativity, though it scales with curvature and so won't do anything far away from any mass-energy. It is perhaps an interesting example of what sort of things actually succeed at belling cats.
Here's the paper by Jack Wisdom[1] and here's a more comprehensible one by Avron and Kenneth. Here's a paper and associated video on making a robot on a curved sphere that exhibits the effect for what should be the same mathematical reasons. Here's a pop-sci level article in Scientific American (that links to a JSTOR version with images, here's a link to the version on their website) covering the Wisdom article, that also cites a paper (co-authored by the author) building off of Wisdom's that lets you slow the fall of a falling particle. Here's an arxiv paper from last year extended the theory too. There is, however, this paper on arxiv that finds a flaw in Wisdom's analysis, but it also fixes the flaw and still gets swimmers (but with different conditions and with different magnitudes). There's also this paper that builds off of their paper, investigating the approxim... (read more)
You start with “the fundamental laws of physics are the same everywhere” and that implies (by Noether’s Theorem) LOCAL conservation of momentum, in the form of a differential continuity equation
However, to get “no reactionless drives” / “center-of-mass momentum is fixed”, you need to turn the LOCAL conservation law (describing what happens in the infinitesimal neighborhood of any given point) into a GLOBAL conservation law (describing a spatially-extended volume). That step involves integrating the local law over space, doing the integration-by-parts trick, and setting the boundary terms to zero.
This local-to-global integration step definitely works in flat space—that’s the homework problem everyone does in college. By contrast, the local-to-global step might or might not work if spacetime is curvy or otherwise weird. As a silly toy example, if you assume wormholes / teleportation portals, then it’s easy to construct examples where local conservation of momentum fails to constrain center-of-mass acceleration. (We were chatting about it here.)
All the other familiar global conservation laws (energy etc.) are ... (read more)
A term and thesis coined by Duncan Sabien. I ought to write it up at some point, but meanwhile perhaps many readers, like myself, will find a whole useful thesis immediately apparent just from seeing the phrase "Arrogance of the Humbled".
Duncan himself has written No Arrogance Like That Of The Recently Humbled.
My brain reading this:
"Oh, is that where bellingcat gets its name?"
"But how is the fable connected to what they do? I don't get it"
Press Gazette: Looking at the reporting Bellingcat does, it would be easy to mistake them for the kind of journalists you see in spy thrillers; doggedly exposing the espionage and hidden affairs of evil regimes. It’s even where the organisation’s name comes from – Higgins took it from an old fable, “belling the cat”, where a group of mice plan to stick bells on their hated neighbourhood cat, so they would know when it was coming to eat them. The simple lesson for Higgins; the powerful and dangerous shouldn’t be allowed to move in silence.
American University book review: The name “Bellingcat” came from the fable of mice deciding to put a bell on the cat that is after them. Their problem, of course, was figuring out who would take the risk. Higgins and his team of online sleuths believe it is their responsibility to put the bell on the cat of governments, companies, and any other nefarious organization that wants to hide information from the public.
"Oh hmm okay I guess"
(thank you brain for focusing on the most essential things)
To pick up Aesop's fable, where Eliezer left off:
... (read more)The young mouse, not deterred by the old mouse, went to work. The old mouse sighed to himself: “ah, to be young and naive is a wonderful thing, but one day we must all come to terms with the impossibility of preventing the cat from killing all of us.”
A few days passed and the young mouse showed no sign of stopping. Of course he still had no plan for how he would get the bell around the cat’s neck, but he thought to himself: “I’ll cross that bridge when I get to it” and went on tackling the next part of the problem. What colour should the bell be? Blue or white?
He worked and worked and worked all through the night. The morning sun was starting to rise and the little mouse finally passed out from exhaustion. But his collar was complete.
That morning Susanna walked into the utilities closet looking for potash soap to clean the kitchen floor. As she bent down she saw something curious. A little blue bell attached to a lovely white collar. "Oh isn’t that just the cutest thing” she thought to herself. "It would be just perfect for Mr. biggles.”
She found the cat resting in her couch and attached the lovely little collar around Mr. Biggles’ n
I think the young mouse could be more willing to learn from the old mouse, but the old mouse should also be more willing to support. I'm not a good writer, but maybe Sol brings this point across:
Sol
The old Mouse turned away and wondered whether the Cat slept.
“Wait,” said the young Mouse. “You said we do not know where.”
“We do not.”
“Glow-paint rubs off.”
The old Mouse looked back.
“Our paint might be enough to dust the narrow passages. If the Cat crosses one, its paws will carry the dust onward. We could follow the prints after dark without approaching it.”
“That might tell us where it sleeps,” said the old Mouse. “It would not tell us whether we can reach it there.”
“No. But then we would know which difficulty we actually face.”
The mice fell silent. This was not the plan the young Mouse had presented, and it was not the solution the old Mouse had sought. The paint would not bell the Cat. But it could test one of the assumptions on which a possible belling strategy depended.
“And the bell that rings from any angle?” asked the old Mouse.
The young Mouse hesitated. “Probably irrelevant.”
“Probably,” agreed the old Mouse. “Unless we use it first as a distant alarm near the sleeping place, to
in general this is a real problem that happens a lot in alignment. i’m not here to defend bad alignment proposals. but also i think there is an opposite problem that happens too, certainly in other fields, and possibly in alignment. a lot of problems can actually just be solved adequately enough by dodging the “hard part” of the problem, or ignoring the asymptotics, etc. in these cases, worrying about solutions not solving the “hard part” is actually just not a good idea. see also relevant xkcd.
yes of course we only get one critical try, if we fuck up we all die, reliability depends much more on fundamentally sound solutions than mean-performance, etc etc and all this should push us to accept a better solution for alignment. but it’s important to note that this type of argument is not universally valid.
Why can’t it also extract the length of the Emperor of China’s nose from judges who’ve never seen the Emperor?
This is an E. T. Jaynes reference about systematic vs random error that will probably be lost on most readers; see https://gwern.net/replication#systemic-error-doesnt-go-away for quote/gloss.
How can we be sure that Mr. L didn't successfully design a clever system of compensators, and correctly validate that design using a sound spreadsheet?
It depends how strictly one defines "sure" but strictly speaking, we cannot. If the only evidence we have received is the claims Mr. L is making, we can be effectively certain, from an unbroken string of data, that the odds that L made an error, is lying, failed to account for some outside source, etc is so much greater than the odds that something fundamentally impossible according to all existing data and theory has been achieved by his system as to render it null. That is
There is some evidence and validations that could move the needle towards having to take the possibilty seriously, but as is the uncertainty is negligible. (Edit: a good parallel, I think, is Hume's 'Of Miracles'. is there some evidence that could convince me a miracle happened? Certainly, but it would have to be extraordinary evidence, testimony is always going to be more probably explained by mundane phenomenon).
... (read more)That is a very classic way that peopl
And Irving said it was a good question and he might need to get back to me on that.
I didn't see the discussion, but it seems odd to me that a debate-aligner would grant the premise here - isn't the whole idea of debate that informative responses do exist in very specific parts of the dialogue-tree? I don't think the empirical case is as damning as you make it sound:
Mathematics mostly operates by the Scholastic Method. It has parts with easily demonstrable implications, but also other parts which are quite far from that, and it's mostly fine.
And people do fail to recognise the right answer, justified with the right reasons, at times - but that is also not always the best argument (to them) for that right answer. You might have needed to present it differently, or attack the reasons people don't accept the arguments first, or...etc. We don't demand you do this stuff to get Science Genius Credits afterwards, but that also means you can find examples of people failing to appreciate the Perfect Science Genius, without that necessarily bearing on judging debates of Science-and-Pedagogy Geniuses.
I still don't really expect this to work, but more so on priors.
"Rather than trying to hang a bell around the Cat's neck, which would just enrage it and lead it to resent us, we need to imprint parental feelings upon it," said another mouse.
An old mouse with slight hearing problems countered: "Paternal instincts? It's too early to bloviate about the sex of cats!"
"Yes," enthused another old mouse in a eureka moment, "we just need to give it maternal instincts. Nature has done it before, so we can do it too!"
"Nature? It's inevitable that the Cat will eat us. That's the natural trajectory. We should not resist it, we should embrace it," concluded yet another old mouse, smiling bitterly.
A poster child here could be, perhaps, the Scopes Monkey Trial.
Actually, the example I was thinking of while reading this post was v-structures in causal discovery. When I first came across it, I was surprised that there was something that you can't do with two elements but can do with three. [Of course, someone who understands that doesn't run into the cat-belling problem with explaining it. They do have the convenience that the base case is still simple enough to easily hold in mind, but even in cases where the enabler is obscure or subtle it seems like they should be able to acknowledge the difficulty.]
Curated.
This post gives a clear mental model to apply to situations ("steps that can't work are often hidden in elaborate solution schemes"), names it ("Cat-Belling Problem"), and goes through example story after example story to make it more and more clear.
Reading it gave me better words for the general point and good examples to use in conversations.
I'd have liked it more if it had also named the rest of the "solution" around a Cat-Belling Problem.
Something that would condense "I think you're engaging in creating a complicated solution and are getting ... (read more)
Well said. The argument in this post is the exact reason Jer and I thought the Apollo founders (Marius and Lee) were so intriguing when we met them in early 2023. They, almost alone, were able to state a compact hypothesis that underpinned a line of attack that had a shot at directly solving alignment. That was something we'd only rarely if ever seen done before.
The way I'd phrase the Apollos' hypothesis would be: "Deception is fundamentally more computationally expensive to execute that honesty, because a deceptive entity needs to keep at least two sets o... (read more)
The way I’d phrase the Apollos’ hypothesis would be: “Deception is fundamentally more computationally expensive to execute that honesty, because a deceptive entity needs to keep at least two sets of mental books (the truth and the lie(s)) while an honest entity only needs to keep one.” If that hypothesis is true, and if we can confirm that it’s true with high confidence, then we may indeed be able to build deception detectors that are 100% reliable across a relevant set of scenarios.
Was this ever discussed at length? It seems kinda dubious to me, because it's not hard to imagine externalizing deception or changing a system's ontology or amortizing/dispersing deception-related things, especially as 'deception' doesn't seem like a terribly well-defined concept to begin with. (For example, imagine a tabular Q-learner which gradually learns an optimal policy by memorizing the returns from every action/state and is just a lookup table, in effect. It is an introductory textbook agent, computationally cheap to execute, universal, and such an agent will converge to the optimal policy in the limit under standard assumptions. So it can learn the value of useful 'deceptive' actions without ever once doing anything remotely like 'mental books', never mind having to develop theory of mind or keeping multiple books. No deception detector could ever detect anything in this agent, even though it is about as simple as possible for an agent to be and easily implemented/approximated by other agents as a subroutine etc.)
Wiki says it's not Aesop’s: https://en.wikipedia.org/wiki/Aesop's_Fables#Fables_wrongly_attributed_to_Aesop
After some difficulties in approaching that part from several attempted writing angles, I gave up, and just posted my raw list of items without any such preamble or expansion.
Good example of skipping important steps.
And, in general, it's better, when applicability to reality of an abstraction, which predicts key difficulty, is sufficiently justified. Especially if it's only predicted in the limit. Otherwise it's "logistics company is impossible, b... (read more)
There are general principles demanding that a local fault be present in a wide class of designs, and it's worth being on the lookout for them, to ensure you are not blind to the possibility. Whether such a general principle has been established is not a crux, it's often still a possibility. Whack-a-mole kind of local faults are evidence, but also conceptual arguments about such general principles are evidence. So it's important to maintain some curiosity about conceptual arguments, and about how local faults might suggest some general principle that demand... (read more)
To pick up Aesop's fable where Aesop left off,[7] my mind generates its most natural continuation fic as follows
I've read more of HP:MoR than the actual Harry Potter. Though for me this is true of most fan-fiction; I'm interested in them on their own merits, not because how of well they imitate or extend their source material.
I feel like this is an interesting heuristic but as Yudkowsky mentions, it ultimately depends on the gears-level working. For the perpetual motion machine, the cruxes are fairly clear and well-defined, but once you go beyond that, you still just end up having to think about the problem with all the messiness that the world brings. But if you tend to be too uncritical or too dismissive, perhaps this post will help you calibrate that to some… more average level. (Personally I notice I am myself too dismissive, almost definitely related to Sabien's Arrogance of the Humbled. Many of my undue judgements arise from rules we force on ourselves, only to notice that, hey, those people aren't following those rules – then, rationalizing our own inability to escape them, decide other people ought to be following them as well.)
My answers to the puzzles / koans, written down before I move on and to read the rest.
The reader is invited to find what they think is the problem with this Reactionless Drive of Mr. L's, for themselves, before continuing.
What's causing the masses to speed up vs slow down? It seems like that's where the momentum would be entering or leaving the system.
(Huh. That basically uninformed guess, was basically correct.)
... (read more)If you wish, you can take this as a koan, and come up with your own reply before continuing: How can we be __sure __that Mr. L didn't successfully
Great post! Ironic though that you mostly sorta gave up on attacking the hard part of the problem of writing this particular post well. xD
(I.e. the post is missing the part of the argument that is hard to write which on the surface somewhat funnily resembles the flawed perpetual motion machine prototypes.)
For the record, I have heard that general relativity lets you "cheat" conservation of momentum by exploiting curved spacetime in a way that causes something to appear to change position without its momentum ever being nonzero but I don't think anyone proposing ways to make reactionless drives have also included a practical way to generate the required amount of curvature...
Thanks for this post! I am now seeing things differently when a proposition has 2 steps, step 1 which looks impossible, step 2 which is very technical but feasible, and then the proposal goes on to work on step 2. It is the same dynamic, and (let me be corrected) it feels to me like Davidad's plan has some of it [trying to prove formally a world simulation, but the real problem is specification which is still hard], or this blog-post by ARC [https://www.alignment.org/blog/competing-with-sampling/]
I asked: "Suppose your judges were all random coinflips. That wouldn't work to drive correct outputs for debate as a means of superalignment. Can you tell me what property the judges need, which random coinflips lack, and which isn't 'the judgments are statistically unbiased', in order for this scheme to work?"
I remember this line continuing with Eliezer asking whether gpt-X had the necessary property for various X. Geoffrey did not seem to have a clear answer to this.
How can we be sure that Mr. L didn't successfully design a clever system of compensators, and correctly validate that design using a sound spreadsheet?
Before reading further, here is my tentative answer.
The law of conservation of momentum that this machine would violate can be proved from Newton's laws of motion.
If Mr L. calculations are based entirely on Newton's laws, then what he has found is a contradiction in mathematics.
If they are based on different, incompatible laws of motion, then why should we trust those new laws?
I think the thinking on debate is:
between systems of similar capabilities, in text rather than logical proofs, humans often find debate helpful
between systems of wildly differing computational complexity classes, various vaguely debate-like Merlin-Arthur and Refereed Games protocols can allow checking of statements whose generation complexity class is dramatically larger (like PSPACE or even EXP, or for quantum, all the way to the halting problem)
since miracles have occurred before in vaguely similar settings, maybe we can make one happen again?
If you understand why the gif doesn't solve the problem, then you know the gif doesn't explain anything.
I think if L had understood that the gif was insufficient, he wouldn't have presented it as an explanation at all.
...I liked my answer, then you ruined it by providing further evidence it couldnt explain...
The spreadsheet's only necessary if you see the flaw in the "explanation"... But if you see the flaw, why are you adding components and making a spreadsheet?
My own take about the question to Irving (I write before reading part III, don't know whether I did understand that part correctly, it seems I see something which seems correct, but I don't know whether I see right thing and whether I actually comprehend it):
Obvious answer that immediately comes into head is that they need a verifier (as is, the way to reliably check the concrete solutions, even if you don't have reliable way to generate the solution). Second obvious thing to say is that judges should be able to check the same bits of evidence as empiric
A treaty where America and China agree to slow down AI is a lot like the mice’s plan to bell the cat. It sounds great, and everyone seems to love speculating about how they're going to implement the most rigorous and foolproof compute verification regimes and the how to build the thermal monitoring thresholds to detect deception. But there's comparatively little focus on actually getting a treaty signed.
Countries almost never limit a new technology until after it has already hurt people—and no, things like the Huggingface Incident do not qualify. China is behind, knows that the reason it is behind is squarely on coercive economic attacks from the US, and has a strong historical incentive to avoid losing technology races. On the American side, President Trump thinks the danger is overblown, and he's the one that would need to be convinced if a treaty needed to come together before 2029.
How do you deal with situations where you're accused of being the young mouse?
Playing along with the example in (vi), I think it's easy to imagine a young atheist encountering older Christians who are skeptical of evolution's role in creating "kinds" of animals (example from Answers in Genesis) and argue that the atheist is using "evolution creating kinds of animals" like "cat-belling" as some especially difficult or impossible step (in the Christian young-earth creationist's opinion) along the way to what the atheist wants.
Suppose your judges were all random coinflips. That wouldn't work to drive correct outputs for debate as a means of superalignment. Can you tell me what property the judges need, which random coinflips lack, and which isn't 'the judgments are statistically unbiased', in order for this scheme to work?
Well, a fairly obvious 'necessary property' is 'the judgments are correlated with correctness' (that is, they provide Shannon information about whether outputs are correct or not). That's a property that random coinflips don't have, and nor do "judges who've n... (read more)
... (read more)You can build an accurate judger out of judges that are sometimes wrong as individuals, so long as the plurality or the majority is always right. You can build an unbiased estimator out of high-variance judges with no bias. But suppose the majority or plurality is sometimes wrong, and there isn't always some clever way of asking the question three different ways such that then two out of three variants are judged correctly. Then how are you building a "debate" system that reliably returns the correct answer out of unreliable judges? Why can't it also extr
I still don't see why it is wrong to reason from him naming the drive for himself. It isn't big sign per se, but it seems to me to be a big sign in combination like "someone unknown proposes world shattering invention which he named after himself". World shattering inventions by not already established people are much more rare than crackpots who dream of being world shattering and writing their name on it. While if someone is more self aware than that, it should eliminate most crackpots, and then amount of people who with no hedge propose world shattering... (read more)
OK, I write my recollection of my guess, for accountability. After reading that wrong guess is better than no guess at all, but before expanding the spoiler. Iirc, I thought like "speed up?.. But why? Continuous speed is default, but suddenly changing speed would violate ~(Noether something) because it is ~(not invariant something), ~(diverging something). Don't see why the speed up, is it implied be something like fluid speed change in tighter pipes? But that shouldn't break the physics. Ah, I don't really thoroughly understand the setup (*I didn't sleep ... (read more)
(Originally mainly drafted in 2021, just now completed and published. Today the discussion around AI may now seem odd; it is written for a time when people were still trying to solve what would now be called "superalignment" with clever plans they'd invented themselves, rather than saying, "Oh, we will ask Fable to solve it.")
===
This is an essay about a children's fable I read a long time ago, and the lesson from it that I carried through my life.
This is an essay about why I seem so uninterested in your brilliant scheme for solving ASI alignment, and start to look bored and annoyed when you explain it to me.
And it is, though not really, an essay about that one guy on that online mailing list in 1996, who had a design for a reactionless drive. It's an easier place to start with the general idea, and so we'll start there.
i. Mr. L's Reactionless Drive.
Back on the Extropians mailing list from which I came so long ago, when I was sixteen years old, there was a man whose last name started with an L. He had a design for a spaceship drive that would, supposedly, generate forward thrust without expelling mass in the other direction. He called it "the <name that starts with an L> Drive".[1]
On the surface, this would seem to violate Conservation of Momentum. On conventional physics, if a spaceship is accelerating in one direction, there must be something else accelerating the other way, and the total change in momentum must add to zero. In science fiction, when you postulate alternate physics violating that rule, an L-Drive is known as a "reactionless drive", in the sense that such a drive violates Newton's Third Law of equal and opposite reaction.
So then -- as one would naturally wonder, and as some on the Extropians mailing list inquired of Mr. L -- how could his L-drive possibly work?
In fact (though I don't think Mr. L fully appreciated this) the problem was so "difficult" that other people bothering to ask Mr. L to explain at all, represented a tremendous openness on their part, toward Mr. L and his ideas; a great act of charity and of due scientific process.
Mr. L showed us all an animated GIF he'd made, which showed a circle with smaller masses rotating counterclockwise around its interior. At the top of the circle, the moving masses sped up; at the bottom of the circle, the masses slowed down. So the masses would move faster on the right side of the cylinder than on the left side, which would generate net thrust in a rightward direction because of the greater centrifugal force.
The reader is invited to find what they think is the problem with this Reactionless Drive of Mr. L's, for themselves, before continuing.[2]
The flaw (click to expand):
When the masses are accelerated rightward at the top of the cylinder, and slowed in leftward motion at the bottom of the cylinder, whatever does this acceleration, exactly counterbalances the centripetal thrust. Indeed, the "centripetal thrust" on the right side is exactly the thrust from the change in fast rightward motion at top to fast leftward motion at bottom.
Put another way: If balls were fired in externally at top, and fired off externally at bottom, the right half of the cylinder would indeed accelerate rightward. So the book-balancing thrust in the opposite direction must come from the part of the system that pushes the slow rightward ball at the top and absorbs the fast leftward ball at the bottom.
When this was observed to Mr. L, he replied that of course he knew that. But, said Mr. L, he had designed some complicated "compensators" to prevent the forces from canceling exactly.
Mr. L said he had an Excel spreadsheet showing that the net thrust of all the system interactions was not zero. But he couldn't show us the spreadsheet; the "compensators" were the key proprietary part of his design.
Leave aside any sense of indignation you might have, about the idea that Mr. L might want to keep part of his drive secret. In the counterfactual world where the L-drive worked, it might make some sense for Mr. L to keep some parts secret, just like it would make sense for him to name it after himself.
Instead, my next question is -- leaving aside all judgments passed via an intermediate step of status judgment -- how can we be sure that Mr. L didn't invent a reactionless drive, if we can't look at his spreadsheet?
Suppose Mr. L had been a Nobel laureate physicist and was otherwise hero-licensed to do interesting things. Would you still feel sure his unseen spreadsheet was mistaken, and if so, why?
"Because the L-Drive violates Conservation of Momentum," you say? But what do you think you know, and how do you think you know it? "Well," we can imagine Mr. L replying (though he didn't actually say this), "the law you learned about in school, is a generalization over past experience: people have never yet seen a closed system produce a net change in its own momentum, so they hypothesize a general law: No closed system can produce a net change in its own momentum. But the master rule of science is to believe the experiment, in the end. If somebody comes up with a clever system not found in nature, that does produce a net change in its own momentum, and this is experimentally verified, we'd just amend the textbooks to say that there wasn't a Law of Conservation of Momentum after all."
If only white swans have been observed so far, calling that the Law of White Swans and putting it in textbooks doesn't make the generalization any stronger or any more binding on reality.
Or as Carl Feynman recently reposted to Twitter, from an email in 1997:
The L-Drive is of the same broad family as Perpetuum Mobile; it violates a widely believed physical conservation law. If Richard Feynman went around investigating some of those, who are you to say the L-Drive wasn't worthy of serious physical investigation?
If you wish, you can take this as a koan, and come up with your own reply before continuing: How can we be sure that Mr. L didn't successfully design a clever system of compensators, and correctly validate that design using a sound spreadsheet?
(My own answer is too large to fit in a spoiler, so you will need to exercise some self-discipline to stop and give your own best answer before proceeding past the next section title.) (As is an experimentally validated procedure for learning faster; it lets you better contrast your own prior brain state to whatever incoming thought you are about to encounter.)
ii. On Miracles Buried Inside Complex Systems.
I reply:
Conservation of Momentum is not a surface generalization over a whole system, the way that a Law of White Swans would be a surface generalization over whole swans. The law on closed systems follows from the generalization that every individual interaction within known physics conserves momentum.
Whole molecules conserve momentum, because the molecules are made of atoms, and the atoms are made of nucleons and electrons, and every known interaction of the nucleons and electrons conserves momentum. Even this doesn't properly state the real depth of the law, because it's really about blah blah quantum mechanics Noether's Theorem invariant Hamiltonians blah blah. But it goes deep enough to make the point.
As soon as Mr. L says he has a spreadsheet that proves his drive works, we immediately know that his spreadsheet contains some bookkeeping error, a priori rather than as a result of empirical investigation. Any spreadsheet modeling known physics will describe a sum of interactions each of which individually produces zero net global change in total momentum.
An arithmetic series all of whose terms are 0 will sum to 0.
It's one thing to claim that you've developed an alternate theory of physics where momentum is no longer conserved, or some such; and you're about to show a prototype hovering in midair to prove the point experimentally. That is at least imaginable. That is what Richard Feynman acted-as-if it was worthy of investigation (though I wouldn't necessarily agree with the explicit claim).
It's another thing to say, "Oh, well, I built a complicated system out of conventional parts, that sums up to violate momentum; and I didn't merely observe that outcome experimentally, I validated the design using a spreadsheet." That violates math.
Our universe's physics could, in principle, contain an exception saying that momentum is no longer conserved if a spaceship is painted a certain exact shade of green. It's not likely but it's logically possible, and it's what Richard Feynman would sometimes go and look into when someone claimed that experimental result.
To take a closed-system description not including any new physics, and have it add up to violating conservation of momentum, is genuinely impossible.
So -- never minding the mere high prior probability that Mr. L is mistaken -- as soon as Mr. L says that his reactionless drive works because of a complex system property, that he validated by spreadsheet, we know for sure that he has made some error.
In fact, as soon as Mr. L starts speaking about complicated wheels and gears, even before he mentions the spreadsheet, we've already lost all hope in him. The answer to "How can you possibly violate conservation of momentum?" shouldn't be a big diffuse answer about complicated wheels and gears. Since the great difficulty is faced by every individual step of the system, tell me about any one step that defeats the difficulty, to show off your key idea in the simplest case.
If there is a countable sum of terms that I think is zero, because I think all the terms are individually zero, and you want to prove to me as quickly as possible that the sum is not zero, then defeat my initial skepticism by showing me one term that's nonzero. If instead you start out by talking about the amazing clever way you've ordered the summation so that its sum is easily provable, I lose hope right there.
When you ask Mr. L, "Why doesn't Conservation of Momentum rule out your drive?" your shred of hope is that Mr. L understands what you are asking -- has some perspective-taking on why an expert might usually think that was pretty difficult; and Mr. L stands ready to directly challenge your skepticism by addressing the key question right away: What aspect of this whole proposal has invalidated the usual reasoning saying that you can't build a reactionless drive out of reactionful parts?
Even being very charitable to Mr. L already, we don't have enough hope to bother following along if he starts in on a complicated story involving lots of gears and wheels.
The difficulty-refuting argument may be somewhat more complicated than the original difficulty-asserting argument. But before we start getting told about complicated details of Mr. L's proposal, we want to hear about some key idea that fans our tiny shred of hope that the great central difficulty has been overcome.
And if Mr. L starts to tell us about complicated wheels and gears instead, we see that he hasn't taken the perspective of a skeptical expert. So we infer that he probably doesn't understand the central difficulty. So we lose that tiny shred of hope, and we are not really feeling curious about all his complicated further details.
I will at this point briefly mention from 2026 -- though most of this essay was written 5 years earlier in 2021 -- a public discussion I had recently at the ILIAD conference with Geoffrey Irving (formerly Google Brain, OpenAI, Deepmind, now heading the new Resolution lab), in a conversation advertised as "Yudkowsky and Irving try and fail to settle all of their disagreements in one hour." One long sub-discussion focused on whether "debate" was a promising approach to superalignment. If you just have the humans judge whether an AI proposal to align a superintelligence will work, the humans will get it wrong; but what if the AIs debate each other instead?
And one thing that might go wrong is that the AIs form a swarm and sacrifice themselves for each other. But the other thing that goes wrong is that humans can also misjudge competing arguments in debates, not just isolated propositions.[4]
A point on which I kept pressing Irving was, "Supposing the human verifiers pass some bad argument steps in a statistically correlated way, how are you going to get reliable argument out of the whole system? Doesn't any approach to getting reliable answers out of a system with unreliable components presume at some point that you can break a debate down into steps where the judges are just statistically high-variance rather than statistically biased in their judgments? And isn't this just false in practice with humans?" And then refining this question further, I asked: "Suppose your judges were all random coinflips. That wouldn't work to drive correct outputs for debate as a means of superalignment. Can you tell me what property the judges need, which random coinflips lack, and which isn't 'the judgments are statistically unbiased', in order for this scheme to work?" And Irving said it was a good question and he might need to get back to me on that.
Later, several people at the conference said that they had been surprised, and had updated, from seeing that exact point of the discussion in particular.
I don't know whether this will be at all comprehensible to any reader and especially when the video hasn't been put online yet... but the question I was asking Irving was, from my own perspective, almost exactly analogous to trying to track down the part of a Perpetuum Mobile which breaks the rules.
You can build an accurate judger out of judges that are sometimes wrong as individuals, so long as the plurality or the majority is always right. You can build an unbiased estimator out of high-variance judges with no bias. But suppose the majority or plurality is sometimes wrong, and there isn't always some clever way of asking the question three different ways such that then two out of three variants are judged correctly. Then how are you building a "debate" system that reliably returns the correct answer out of unreliable judges? Why can't it also extract the length of the Emperor of China's nose from judges who've never seen the Emperor?
I expect you would notice a great many places where the would-be aligners present at that conference disagreed about other matters, depending on whether they perceived that debate as me pressing Irving about a strange abstract technical corner question; versus the question reformulating a seemingly big complicated task to boil down a central difficulty.
Many many engineers, in fact, historically rolled up their sleeves and got to work on building their designs for Perpetuum Mobiles. It was a larger-looming social phenomenon in Feynman's day -- one of the ways slightly smart engineers went Wrong back before AI or cryptocurrency. And I am not a postcognitive telepath -- I cannot read minds in the past -- but I wouldn't be surprised if many of those 1970s engineers saw themselves as hardheaded practical people with industry experience, whose effortful work learning about real metal gears had taught them the practical limitations of airy abstract theories like "conservation of energy". Which is to say, that they had tried their own hand at abstraction and not gotten anywhere, and learned from this an Arrogance of the Humbled[5] about the ultimate limits of mere thinking.
iii. Cat-Belling Problems.
When I was very young I read a children's story and extracted a lesson from it that stayed with me my whole life, being generalized and deepened as I grew older. I think it may have been a more elaborate story that I read as a child, but it came from an Aesop's Fable.
Here is the original Aesop's Fable in its entirety:
Aesop's original moral then runs:
IMO, there's a whole tree of valuable morals one could derive from this story. Aesop's first moral-branch has many valuable further sub-branches, eg in politics: "It is one thing to say you want X, and quite a different matter to devise a stable realistic system of incentives which yields X as its equilibrium."
But the greatest moral I took, that stayed with me my whole life to grow into a lesson-tree and deepen in its roots, was:
There is often some especially difficult or impossible step along the way to what you want, and until you overcome that key step, the rest of the plan is of no use.
We can see some further branches on this lesson-tree, exhibited in the following images, both of which show a missing cat-belling step calling a whole scheme into question:
(By Sidney Harris, published in American Scientist, Nov-Dec 1977.)
Or this even more famous one:
A very standard failure mode I have observed over the years is for people's minds to bounce off of, route around, or entirely fail to perceive, the cat-belling step.
Eg:
Or also eg (added 2026), many variants on:
This from my perspective is very much the equivalent of putting the "heat exchanger" in the second half of the machine; except that, instead of the Perpetuum Mobile entirely failing to work, it very unfortunately works to launch the airplane but fails to land it safely.
(That I specify no "publicly scrutinized" proposal exists is because, knowing the mental shenanigans around cat-belling steps, I predict Anthropic believes they have terribly serious proposals for accomplishing miracles of superalignment, and have terribly serious reasons why they cannot tell anyone, especially me, what those proposals are. No doubt many would-be builders of Perpetua Mobilia understood their real situation, on some intuitive level, well enough to come up with Various Reasons why Feynman could not be allowed to look at their secret designs.)
iv. The Optimizer's Curse against complicated plans for hard problems.
You will recall Mr. L's L-Drive and his animated GIF (reproduced from memory):
You will recall that when the flaw in his L-Drive setup was pointed out to Mr. L. -- that the acceleration at top and deceleration at bottom exactly cancels out the centrifugal force -- Mr. L. explained that he had designed "compensators" to prevent the cancellation from being exact, which was the real proprietary secret of his design.
Mr. L. did not post his spreadsheet, but he posted the graph of his spreadsheet's calculation of net force, which was mostly zero, but showed several positive spikes. Again reproducing it from memory:
I am not a past-viewing telepath. But on my grasp of psychology, there is a very obvious way to suspect events played out: Mr. L had his first brilliant idea about rotating balls in a cylinder, began to anticipate fame and fortune, but then saw the flaw himself... and then desperately set out to repair the flaw, instead of writing off his hopes and dreams... and invented more and more complicated "compensators"... until he stopped on a design where he'd managed to make a few bookkeeping errors in his Excel spreadsheet.
That is a very classic way that people end up believing they have solved some very hard step of a problem, in my experience -- by elaborating and complicating matters to the point where they themselves can no longer deduce the final failure. It doesn't work for mundane immediate matters like fixing your refrigerator today; but it works with anything that you can convince yourself is about the future, or that you can convince yourself has not been decisively refuted. Why, sure, your weird scheme will totally work for aligning ASI -- which, amazingly enough, is a key step that you cannot test right now; and that you can shut your ears and hum about, whenever anybody else tries to explain why your plan will fail.
And if these inventors are so kindly as to explain their scheme at all, they will launch into a description of some complex system, all of which I simply must hear about; and they don't, and can't, preface themselves with a simpler explanation that directly targets and defeats my previous skepticism about a Cat-Belling Problem.
That's what happens if you try to ask somebody underneath Geoffrey Irving's level to explain eg how they mean to use "debate" to overcome the problem of correlated bad judgments. They are downright confused by your apparent belief that they ought to have anything simple to say, about a key insight, that defeats some weird problem.
Standard lens time: This is yet another instance of Goodhart's Curse, or rather the Optimizer's Curse. If you try out a large number of complicated variations on a design, estimate their goodness via a process with nonzero error, and select the best-looking candidate, you are more likely to find a spreadsheet with an upward error in the goodness estimate.
The more complicated the candidates, the greater that systematic error.[6] Which isn't necessarily fatal if you have some very low-error process that can evaluate very complicated things, which is why not all nuclear reactors with complicated designs have melted down. But if you are doing something more new and uncertain and error-prone -- then being able to simplify complicated schemes down to core-difficulty-defeating key ideas, is much more important as a check on the mental process.
v. When no Authority (that you accept) can tell you that your bright idea is wrong.
In the case of Conservation of Momentum, we have Authorized Authoritative Authorities to tell us that its cat-belling problem exists and is hard, and that Mr. L should not be able to defeat it just by throwing in a few obscuring complications.
What if instead, we are confronting some difficulty that is, in reality, extremely difficult -- maybe not impossible, like a reactionless drive, but still has some very difficult step of actually belling the cat -- but there is nobody you see as an Authorized Authoritative Authority, to tell you that it is hard?
Well in that case, things appear easier! They are not actually easier, of course; they are even harder, because the laws governing difficulty are not as solidly known. But they feel easier, because you will much more easily be able to solve the social problem of convincing people you are on the way to building a reactionless drive. And if you are most humans, you will take that as social proof that what you believed is okay to believe.
To pick up Aesop's fable where Aesop left off,[7] my mind generates its most natural continuation fic as follows:
vi. The equal and opposite advice.
For every advice there is an equal and opposite advice, that needs to be given to equal and opposite people; for every essay there is a long list of warning labels that I usually realize afterwards I failed to guess properly in advance. Nonetheless, here is my guess at a warning label that should be here:
It is possible to unjustly demand that an argument be too simple.
A poster child here could be, perhaps, the Scopes Monkey Trial. We can imagine the prosecution repeatedly demanding at what point a monkey gives birth to a non-monkey, and if anybody tries to say anything about a sum of many small discrete changes, the prosecution says: "Oh, this sounds like one of those big complicated ideas where nobody can see anymore how it is wrong; please boil it down to an essence, show me one point where a monkey gives birth to a non-monkey."
There might be some hope that a genuine cat-belling insight can be seen to squarely address a cat-belling problem, but that's only if you're genuinely trying to understand it rather than assuming an arms-crossed skeptical attitude saying "Convince me! No, not that way, the particular exact way I expect to be convinced!"
The opening example I gave with Mr. L's reactionless drive is one where we happen to know very exactly that a reactionless drive must have a single reactionless step that does something very anomalous under known physics; and furthermore, where we are pretty sure Mr. L is in fact mistaken. In other cases, cat-belling steps may be merely difficult and not impossible; they may even have some answer that cracks them wide open and makes them vanish as difficulties.
The people on the mailing list asking Mr. L how his drive worked were -- from my own perspective -- probably being too open-minded and too ready to listen. But being actually ready to listen to an incisive answer is the only way you can hear a solution to something you imagine to be a cat-belling difficulty, conditional on somebody actually having a solution. Richard Feynman was not being foolish in acting out something like a deontological rule about checking every time.
vii. The rest of this post, which I gave up writing.
The rest of this draft in 2021 was my attempt to list some Cat-Belling Problems in AI, along with explaining what gave them the status of a big problem rather than a peripheral technical difficulty.
After some difficulties in approaching that part from several attempted writing angles, I gave up, and just posted my raw list of items without any such preamble or expansion.
My model of some readers has them now reasoning, "How dare Mr. L name the drive after himself; how arrogant, how low-status; I therefore already associate a bad vibe with this drive, so it probably doesn't work." Point one, this was around 1997 and people were less status-regulatory of inventors back then; it was more common practice for people to name things after themselves. Second, on my view, if the drive worked, Mr. L would absolutely have been justified in naming it after himself; so the crux is whether or not the drive works. Or from another angle: to reason "the drive probably doesn't work, because Mr. L named it after himself" is bad Bayesianism. In the conceivable worlds where the drive does work, we are not unlikely to see Mr. L naming it after himself, especially if it is 1997 and we are less far from an older world where many inventors did that.
If you are the sort to confidently declare a flaw and you are wrong, you rate no higher in my judgment than Mr. L and perhaps lower. Because then on occasions when humanity does solve hard problems, you are the sort to contribute heat rather than light. But if, reading this, you only lightly guess and then you are wrong, that is much better than not daring to guess at all.
Carl Feynman notes that the "worthy of much more serious investigation" phrasing is his own commentary on his father's behavior, not something Richard Feynman had stated explicitly as a generalization.
Or to state it more exactly: The reason we have the Scientific Method rather than the Scholastic Method is not that no scholar ever gets something right without overwhelming experimental proof; but that communities of scholars cannot correctly judge who got it right, even if one person got it right, without some experiment that absolutely hits them over the head with the correct answer; after which sometimes the majority notices.
Eg recent example, because people ignore historical examples, because their brain thinks that history is all a TV show and that historical people are more stupid than themselves and don't know about clever ideas like prediction markets: It's not that nobody warned EAs that AI might arrive sooner than 2050. There was an essay that laid out in advance all the reasons why the official-looking 2050 estimation was wrong, in hindsight ~100% correctly. But it was futile to try to hold a "debate" that would settle on this correct answer given for correct reasons, because even having been presented with the correct answer, the larger community could not majority-discriminate it as correct, until they were hit over the head with overwhelming contrary evidence. OpenPhil ran a contest with $50,000 in prizes for essays that disputed OpenPhil's then-standard estimate of 2050 median time to AGI and 5% catastrophic risk; all the prizes were awarded to essays that argued for longer timelines and lower risks.
If there were any method that broke debates into careful pieces that a group of judges would always judge in a statistically unbiased way, 2022 would've been a great time to use it in the essay-judging contest! But no method like that has ever been invented yet through all the ages of the world.
The historically observed problem with the Scholastic Method is not that no individual is ever smart enough to get things right without overwhelming evidence -- those smarter individuals are where the hypotheses come from that get tested by later experiment! The problem is that the majority is incapable of discerning which existing arguments have used more valid reasoning steps and so arrived at the correct answer from earlier data. It is exactly a failure of human groups at judging debates rather than a limit on the individual intelligence of humans to come up with the right answers earlier. Humanity throws occasional Einsteins who will correctly say, far in advance of overwhelming experimental evidence to convince the larger group, "Then I would have pitied the good Lord; the theory is correct." But when humanity at large looks to some very sober and solemn-looking people wearing the serious-person garments of that era, the soberly-clothed people are not able to tell which scholar's argument is correct. That is the problem with the Scholastic Method. The Scientific Method, for a small fragile time and in a few institutional places, was able to listen to the voice of overwhelming experimental evidence instead, when it came to deciding afterward which scholar to credit for having called it right. (Though to be clear, many particular scientific fields, or solemn-looking people wearing solemn garments, have not reached that standard either.)
So yes, it is very much fighting words to claim that you are going to do something called "debate" and then your human judges are always gonna correctly figure out which AI had the better argument on every argument step. Having a "debate" system which causes the Scholastic Method to start working with human judges is a Cat-Belling Problem.
A term and thesis coined by Duncan Sabien. I ought to write it up at some point, but meanwhile perhaps many readers, like myself, will find a whole useful thesis immediately apparent just from seeing the phrase "Arrogance of the Humbled".
This can of course itself be overused as an invincible argument against any slightly complicated scheme, including the ones that have multiple tiers of simplifiability in their key ideas. Many effective altruists that wanted peace of mind in knowing that they were doing the One Best Thing by buying mosquito bednets were endlessly endlessly convinced that any more complicated schemes for improving humanity, like "doing something about ASI before we all get killed", must surely contain an invalidating error.
If any reader be aghast at my audacity in daring to pick up where Aesop left off, as if I were comparing my own writing abilities to fables that have lasted through millennia, I remind them that I am publicly validated as one of the leading authors of fanfiction on the entire planet and therefore it is not arrogant of me to try to write a continuation fic of an Aesop's fable.