Astral Codex Ten

WWII

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WWII

Article

WWII is a recurring concept in the Astral Codex Ten archive, appearing 10 times across 10 issues between April 30, 2021 and October 30, 2025. The archive places it in contexts such as “Baker’s time, or at any point of WWII”; “then WWII (airplanes were directed towards the war effort)”; “everyone who lived through WWII in Western Russia”. It most often appears alongside US, United States, America.

Metadata

  • Category: Concepts
  • Mention count: 10
  • Issue count: 10
  • First seen: April 30, 2021
  • Last seen: October 30, 2025

Appears In

Source Context

Recovered passages from the original issue text. When the raw archive preserved outbound links inside the source passage, they are listed directly under the quote.

Your Book Review: Double Fold
April 30, 2021 · Original source
Baker claims that microfilm got a big boost during WWII, when it was often used by spies to hide documents, and by the US government back home to disseminate military information. This allure continued during the Cold War years, and it helped that many of the librarians keenest on microfilm were ex-military men who wanted to apply what they had learned in the Army to their civilian jobs. Microfilms were small and felt modern, but unfortunately, many of the advantages they presented to the military were not exactly advantages for libraries as well. Baker quotes Vernon D. Tate, an Army microfilm specialist who went to become chief librarian at MIT:
All of this changed after WWII. In a wave of futurist ideology that swept across US libraries, it suddenly wasn’t desirable anymore to keep expanding and piling up paper. Just like computer-manufacturers kept trying to compress their machines, a good modern library was suddenly a library that kept miniaturizing. If not literally to get smaller over time, the library of the future should at least try to keep its size constant, no matter how large the influx of new publications might be. Of course, this meant that even in the largest US libraries, there would be increasingly little room for paper publications.
Twenty years after the publication of Double Fold, the frequency of library books being guillotined for imaging is probably lower that it was in Baker’s time, or at any point of WWII, with the main reason being that there are relatively few books around that haven’t yet been imaged by someone. It’s generally cheaper to pay for someone else’s scans than to do the scanning yourself. However, the very ubiquity of online resources also provides an incentive for libraries to continue purging their collections and trashing the unwanted material. There are plenty of reports of major libraries trashing their books, though the public seldom learns which books were trashed, and how valuable they might have been.
Inline links: plenty, of, reports, of, major, libraries, trashing, their, books
Your Book Review: Where's My Flying Car?
June 04, 2021 · Original source
Why are people so terrified? Hall says we were a victim of our own success from World War II. Before the War, America was an individualistic nation. Then came the Depression, the New Deal, and most of all the War. America won the war with a “completely centralized bureaucratic government structure” - and it was a huge success. And for a while, that worked: the generation forged in the war had a “cooperative “same boat” spirit” that “[made] the centralized corporate structures work.” But then it didn’t. Hall blames the hippies:
Flying cars didn’t have the same issues; they were being developed privately. But regulation doomed them. Harold Pitcairn was almost successful in developing a flying car, but then in World War II the government nationalized his helicopter patents (they promised to give them back after the war, but reneged) and he spent the rest of his life in court. He won, 17 years after his death. Bruce Hallock had a promising design, but he sold a plane to a missionary group in Peru and was arrested as an “arms trafficker”. Robert Fulton had a successful prototype, “however, Fulton’s financial backers had become discouraged with the seemingly endless expense of meeting government production standards, and they withdrew their support.” Molt Taylor “was actually in serious negotiations with Ford as late as 1975 to have the Aerocar mass-produced. The monkeywrench was thrown into the negotiations by the FAA and the DOT. Taylor already had an airworthiness certificate for the Aerocar, granted by the CAA (predecessor of the FAA) after a delay of 7 years from its first flight. He claims that the agencies turned thumbs down on the Aerocar ‘because everybody would have one, and we couldn’t handle the [air] traffic.’ Airplane regulation has only gotten stricter: “The entire F.A.R. / A.I.M., which every airman is responsible for knowing, is 1085 pages long. At least it was in 2013; a new one comes out every year.” So in the end, we have none of these technologies. No flying cars, even though they were prototyped almost a hundred years ago. Some nuclear energy, but crippled, aged, feared, and hated. 3D printing, but no nanotech. No level 5. Because the state needs legibility, and progress is not legible. The bureaucratic incentives are to calcify. If no one does anything new, no one will do anything wrong. Hall:
Before reading this book, I thought flying cars were just technologically infeasible, because flying takes too much energy. But Hall says we can and have built them ever since the 1930s. They got interrupted by the Great Depression (people were too poor to buy private airplanes), then WWII (airplanes were directed towards the war effort, not the market), then regulation mostly killed the private aviation industry. But technical feasibility was never the problem.
Highlights From The Comments On "Crazy Like Us"
July 21, 2021 · Original source
But moreover – and we’ve actually already touched on this when discussing fear and courage – mental wounds also seem to vary somewhat from one modern war to the next. As I noted, the hyper-vigilance that is so often a symptom of combat trauma in the veterans of contemporary wars seems vanishingly rare in the ‘shell shock’ of WWI veterans, who are more often described as lethargic, listless and undirected (symptoms that also show up in WWII for soldiers who had been under combat stress for long periods). The issue has been brought up, so I do want to note that I am, by the by, unconvinced by the suggestion that these WWI-era mental wounds were purely or principally the product of concussions from heavy artillery or the like.
Perhaps some are outright malingerers, but clearly for a large number (including a friend of mine) this is real. They really are suffering from a set of symptoms consistent with PTSD. And yet, the vast majority of WWI veterans, Holocaust survivors, everyone who lived through WWII in Western Russia etc., a large fraction of people in the Middle Ages etc. experienced as bad or worse stuff and the vast majority could function as adults. It's hard to escape the conclusion that we've created an expectation of disabling trauma and people fulfill it. Crazy Like Us quotes an American soldier who said that he felt like an actor given a script. Here's PTSD, this is what you do next.
Highlights From The Comments On Modern Architecture
October 04, 2021 · Original source
Some people were very insistent about this, saying that I was stupid for not having read the primary sources where post-WWII builders explain that this is exactly what they are doing. I admit that my claim in the original post that I hadn’t heard people say this before had more to do with my own ignorance than with what other people had said, and I will try to read those sources, but I think these people’s strident tone is a bit misplaced. Even granting that many people said that, there still seems to be a mystery here. Did Google think about the horrors of WWII before deciding to build a kind of ugly headquarters? Did some random 1990s suburb think about the horrors of WWII before deciding to build a kind of ugly City Hall?
Usually there is some group of people with some silly idea, like “let’s only build ugly things to remind ourselves of the horrors of WWII”, and they make like five things, and then the market gives ordinary people what they want, which is pretty things (at least for some watered-down mass market definition of “pretty”). If someone said “let’s only eat bad food from now on to remember 9-11”, it would never work. Heck, people won’t eat slightly-worse-tasting food to avoid diabetes and save their own lives. If some group of architects actually coordinated the entire world into only building ugly buildings for 70 years to in order to make an important moral point, this would be one of the most impressive acts of coordination in the history of the world. We should find these same architects and ask them to coordinate us into only building environmentally-sound buildings in order to prevent climate change, or whatever.
Somewhat Contra Marcus On AI Scaling
June 10, 2022 · Original source
DALL-E, “A elderly person's hand, labelled with the text ‘AN ELDERLY PERSON'S HAND’” Lucid dreaming enthusiasts suggest that two of the easiest ways to distinguish dreams from reality is that, in dreams, hands have the wrong number of fingers, and text is garbled and unreadable. This is not a coincidence because nothing is ever a coincidence. But even the waking world gives us clues, as Sarah Constantin notes in Humans Who Are Not Concentrating Are Not General Intelligences. Most adults will make GPT-like mistakes (or gloss over such mistakes) unless they’re focusing all their brainpower on an issue. And a 4chan post by someone who claims to have done psych research in prison populations goes further (slightly edited for language and offensiveness): I did IQ research as a grad student, and it involved a lot of this stuff. Did you know that most people (95% with less than 90 IQ) can't understand conditional hypotheticals? For example, "How would you have felt yesterday evening if you hadn't eaten breakfast or lunch?" "What do you mean? I did eat breakfast and lunch." "Yes, but if you had not, how would you have felt?" "Why are you saying that I didn't eat breakfast? I just told you that did." "Imagine that you hadn't eaten it, though. How would you have felt?" "I don't understand the question." It's really fascinating [...] Other interesting phenomenon around IQ involves recursion. For example: "Write a story with two named characters, each of whom have at least one line of dialogue." Most literate people can manage this, especially once you give them an example. "Write a story with two named characters, each of whom have at least one line of dialogue. In this story, one of the characters must be describing a story with at least two named characters, each of whom have at least one line of dialogue." If you have less than 90 IQ, this second exercise is basically completely impossible. Add a third level ('frame') to the story, and even IQ 100's start to get mixed up with the names and who's talking. Turns out Scheherazade was an IQ test! Time is practically impossible to understand for sub 80s. They exist only in the present, can barely reflect on the past and can't plan for the future at all. Sub 90s struggle with anachronism too. For example, I remember the 80-85s stumbling on logic problems that involved common sense anachronism stuff. For instance: "Why do you think that military strategists in WWII didn't use laptop computers to help develop their strategies?" "I guess they didn't want to get hacked by Nazis". Admittedly you could argue that this is a history knowledge question, not quite a logic sequencing question, but you get the idea. Sequencing is super hard for them to track, but most 100+ have no problem with it, although I imagine that a movie like Memento strains them a little. Recursion was definitely the killer though. Recursive thinking and recursive knowledge seems genuinely hard for people of even average intelligence. I have no proof that this person is who they say they are, but it matches some of my experience giving cognitive exams to patients from low-functioning populations. And it matches Flynn on Luria (who admittedly was approaching IQ from a cultural relativist viewpoint, but one which I think is equally applicable to the current problem). Luria gave IQ-test-like questions to various people across the USSR. He ran into trouble when he got to Uzbek peasants (transcribed, with some changes for clarity, from here): Luria: All bears are white where there is always snow. In Novaya Zemlya there is always snow. What color are the bears there? Peasant: I have seen only black bears and I do not talk of what I have not seen. Luria: What what do my words imply? Peasant: If a person has not been there he can not say anything on the basis of words. If a man was 60 or 80 and had seen a white bear there and told me about it, he could be believed. And: Luria: There are no camels in Germany; the city of B is in Germany; are there camels there or not? Peasant: I don't know, I have never seen German villages. If is a large city, there should be camels there. Luria: But what if there aren't any in all of Germany? Peasant: If B is a village, there is probably no room for camels. And: Luria: What do a chicken and a dog have in common? Peasant: They are not alike. A chicken has two legs, a dog has four. A chicken has wings but a dog doesn't. A dog has big ears and a chicken's are small. Luria: Is there one word you could use for them both? Peasant: No, of course not. Luria: Would the word "animal" fit? Peasant: Yes. And: Luria: What do a fish and a crow have in common? Peasant: A fish — it lives in water. A crow flies. If the fish just lies on top of the water, the crow could peck at it. A crow can eat a fish but a fish can't eat a crow. Luria: Could you use one word for them both? Peasant: If you call them "animals", that wouldn't be right. A fish isn't an animal and a crow isn't either. A crow can eat a fish but a fish can't eat a bird. A person can eat fish but not a crow. What I gather from all of this is that the human mind doesn’t start with some kind of crystalline beautiful ability to solve what seem like trivial and obvious logical reasoning problems. It starts with weaker, lower-level abilities. Then, if you live in a culture that has a strong tradition of abstract thought, and you’re old enough/smart enough/awake enough/concentrating enough to fully absorb and deploy that tradition, then you become good at abstract thought and you can do logical reasoning problems successfully. (Sometimes! If you’re lucky! Linda is a blah blah blah you know the story. Is she more likely to be a bank teller, or a feminist bank teller. When people get this question wrong, do they have a world-model, or not?) Imagine a world where doctors gave different diagnoses based on unrelated contingent features of the encounter like a patient’s gender, their race, or how you phrase the question. What a crazy place that would be! What is the pre-logical function that logic gets knit out of? I think it’s something like predictive pattern-matching. I think the brain starts by predicting arbitrary patterns, builds up more and more layers of abstraction to try to predict those patterns better, and eventually some of those layers cohere into something that looks like formal logic. To put it another way, my brain is in some sense a supercomputer that can outperform the best calculating machines in the world - but also, I have trouble multiplying three digit numbers in my head. The supercomputer is doing something, and then I’m using that something, very lossily, to emulate logical functions like math or formal logic. So when I see GPT, which also runs on a supercomputer, also slowly gaining the ability to multiply two-digit, then three-digit numbers as the supercomputer gets bigger and bigger, I feel a sort of kinship with it. It’s a trash heap of patterns with a hard-won ability to sometimes break out into the clear day of logical reasoning, just like me. IV. I think Marcus knows and agrees with most of this, but I think he thinks of the world-modeling ability as some special rare brain region (maybe the prefrontal cortex?) which is only online part of the time (or maybe can have its performance degrade gracefully). Whereas I think of it as shallower pattern-matching abilities which escalate to deeper and deeper pattern-matching abilities as more and more brainpower becomes available, with world-modeling as one of the deepest (and sure, probably the PFC plays a major role, but not because it has a fundamentally different structure but just because that’s where reinforcement learning stuck the highest-level patterns). Why do I think this? The human brain is pretty plastic. Usually if one part of it dies, another part can take over. This makes me think that the brain area : function correspondence isn’t entirely a function of different structures in different regions (though some of it might be this), but downstream of an originally poorly-differentiated blob of neurons that get trained by the overall predictive structure based on their proximity to various input ports (eg sensory nerves) output ports (eg motor nerves), and other brain areas. (this would also explain why the brain has a pretty consistent area dedicated to reading/writing, even though we haven’t been literate long enough to evolve new literacy-related structures) Deep learning agents are also a poorly-differentiated mass of neurons. As they get inputs and outputs (ie training data) they slowly “evolve”/develop the ability to “recognize” patterns. We don’t know how they do this or what recognition-abilities they’re evolving, except by speculating (the way Marcus and I are doing) based on what kinds of problems they can and can’t solve. It would make sense to me if poorly-differentiated blobs of neurons, when having lots of problems thrown at them, gradually move from developing simpler pattern-recognition programs (eg edge detectors), to more complicated pattern-recognition programs, all the way up to world-modeling, without any of these being hard-coded into the territory. (the brain does have a lot of things hard-coded - ie we’re not blank slates - but its plasticity suggests that the forms of hard-coding we’re talking about here are helpful but not completely necessary for cognition) If this were true, it would mean that as a blob of neurons got bigger, more sophisticated, and saw more training data, it would eventually develop new capabilities that weren’t hard-coded in, and that smaller versions of the same blob didn’t have. One of the really exciting things about GPT-3 was its sudden and unplanned development of new capabilities over GPT-2 (its creators mention “translation, question-answering, and cloze tasks, as well as several tasks that require on-the-fly reasoning or domain adaptation, such as unscrambling words, using a novel word in a sentence, or performing 3-digit arithmetic”). This seems like a good fit for the chimp → human transition, where evolutionary lineages that couldn’t do a bunch of difficult things for the first few hundred million years suddenly became good at those things in an evolutionary eyeblink. The ~5 million chimp/human gap seems like enough time to scale up chimp brains a bit (which definitely happened), but not enough time to invent a fundamentally new architecture. It wouldn’t surprise me if the architecture changed a little during this time, but we’re limited in how fundamental a change we can talk about over that period. I’m not at all sure this is true! I’m honestly close to 50-50 here. Maybe the PFC actually is magic! It just confuses me that Marcus seems to think we’ve ruled out the theory that this kind of scaling is possible, when I feel like we’ve heard plausible arguments on both sides. Nothing we’ve seen in GPTs or any other AI thus far disproves the scaling hypothesis, and a lot of what we’ve seen supports it. So sure, point out that large language models suck at reasoning today. I just don’t see how you can be so sure that they’re still going to suck tomorrow. Lemurs sucked for millions of years, then scaled up a bit and took over the world! V. …is one possible argument. Another possible argument is: language models and other deep learners really aren’t doing the same thing humans do - but whatever, their thing is powerful/effective/dangerous too. Suppose that GPT-X took over the world and killed all humans. Millennia later, some alien archaeologists come and investigate. They conclude that since its training data included Alexander the Great and Caesar, it was just pattern-matching to the kind of things they did (multiplied by a vector representing the difference between ancient and modern times), and GPT-X never demonstrated any true intelligence. So . . . what? I imagine this situation ALL THE TIME and I hate it. I think the impetus behind a lot of the AI risk stuff is that we’re barrelling to a world where AIs have far more than self-driving-car levels of capabilities, while being unpredictable in ways that are a lot like this. The history of the past few decades has been people getting surprised, again and again, at how much AIs can do without being “generally intelligent”. Douglas Hofstadter predicted in 1979 that any AI that could beat a grandmaster at chess would also be able to decide chess was boring and it preferred writing poetry. Instead, we got Deep Blue, so domain-specific it can’t even do so much as play checkers. Worse, now we have AIs that can switch between writing poetry and playing chess, and it still seems like a clever parlor trick rather than anything like real intelligence. I think basically nobody predicted this: narrow AI has won victories beyond past generations’ imagination. (cf. Nostalgebraist’s Human Psycholinguists: A Critical Appraisal) So even if GPTs aren’t a step on the path towards some sort of human-like AGI thing, I have no idea where they’ll end up. Replacing humans at all jobs? Writing novels? Taking over the world? If this seems crazy to you, “solve protein folding” sounded crazy ten years ago, and they already did that! At this point I will basically believe anything. VI. So I’m not going to take Marcus’ bet that GPT-4 will be perfect (as if anything ever is!). But here are some things I do believe, with confidence levels: At some point before 2030, someone will come out with a deep-learning-based language model which is significantly better than the current state of the art, by Gary Marcus’ admission (97%)
Inline links: hands have the wrong number of fingers, text is garbled and unreadable, Humans Who Are Not Concentrating Are Not General Intelligences, 4chan post, here, blah blah blah, https://twitter.com/GaryMarcus/status/1534887585759100930, a patient’s gender, their race, how you phrase the question, predictive pattern-matching, prefrontal cortex, mention, https://substackcdn.com/image/fetch/$s_!M9E6!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F85fd2e4d-c51e-4820-a9a2-6f79970026cb_600x368.png, https://substackcdn.com/image/fetch/$s_!_D9T!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F5cb652e3-381b-488d-a6a6-f1155f7ff557_586x194.png, writing poetry, playing chess, Human Psycholinguists: A Critical Appraisal
Highlights From The Comments On Bobos In Paradise
December 09, 2022 · Original source
-The general phenomenon of the power of the WASP aristocracy being displaced by a managerial upper-middle class predates the changes to university admissions that Brooks is discussing--there are books that are contemporaneous with those changes like Whyte's *Organization Man* and Burnham's *Managerial Revolution* that were already observing the trend. The decades before the 50s saw WWII, the New Deal, and the general enrichment and empowerment of the various ethnic immigrant groups--all of these were vastly more convincing causal factors of the decline of the WASP aristocracy than one individual university president deciding to admit a moderately larger amount of non-WASPs. The dominant social orthodoxy that the bohemians were challenging was *this* orthodoxy, which had already displaced the WASP aristocracy by the time that they emerged--he postwar social order features as something of a glaring missing link for all of Brooks' analysis.
Highlights From The Comments On British Economic Decline
July 20, 2023 · Original source
The belief in Britain's economic decline arises from an understanding of its long-standing, extractive, rentier economy. Post-WWII industrial decline and the subsequent financialisation of the economy have led to a dearth of technical jobs and over-reliance on property ownership, fuelled by planning restrictions that artificially limit supply (and in recent years, mass migration).
I’d be interested in seeing the “government decided to sit on industries in 1900” thesis fleshed out more. Also the “collapse of human capital after WWI”? Is this just saying lots of people died in WWI? If so, how come this didn’t happen in other deadly wars? For example, lots of Germans died in WWII, but Germany remained an economic powerhouse.
Dictator Book Club: Putin
August 03, 2023 · Original source
Still, I’m inclined to doubt the adoption theory. Vladimir Putin’s official father, a WWII veteran and factory worker, was also named Vladimir Putin. The adoption story requires that a child named Vladimir Putin was coincidentally adopted by a man also named Vladimir Putin. Far easier to believe that an old Georgian woman had a son who died or was adopted out. Then, when a man with the same name became President of Russia, she assuaged her broken heart by pretending it was the same guy. Records of Putin’s early life are surprisingly sparse. But there are a few photos (admittedly fakeable), and people who aren’t face-blind tell me that Putin looks very much like his official mother.
My Takeaways From AI 2027
April 08, 2025 · Original source
History provides examples of very fast industrial transitions. For example, during WWII the US converted most civilian industry to a war footing within a few years. The most famous example is Willow Run, where the government asked Ford to build a bomber factory; three years after the original request, it was churning out a bomber per hour.
Links For October 2025
October 30, 2025 · Original source
23: I’ve enjoyed following content by Anthropic AI researcher Sholto Douglas, but kept noticing his name in unusual places. Upon further investigation, it looks like in 767 AD, a particularly skilled Scottish warrior got the nickname “Sholto Douglas”, and for the next 1300 years his clan continued to give that name to their children. Aside from the AI researcher, they include WWII air force commander Sholto Douglas, artist Sholto Douglas, and Svalbard mining baron Sholto Douglas. There is also some sort of Californian Gold Rush country local folk hero Sholto Douglas; attempts to determine his exact identity have been confounded by the local tradition of making up facts about him, but he may be the same person as Lord Sholto George Douglas, third son of the Marquis of Queensberry. Even I have trouble believing that the gene for being a particularly skilled warrior can last 1300 years, but for what it’s worth, the AI researcher Sholto Douglas was once ranked the 43rd best fencer in the world.
Inline links: content by Anthropic AI researcher Sholto Douglas, in 767 AD, WWII air force commander Sholto Douglas, artist Sholto Douglas, Svalbard mining baron Sholto Douglas, local folk hero Sholto Douglas, Lord Sholto George Douglas, I, was once ranked the 43rd best fencer in the world