Astral Codex Ten Podcast
The official audio version of Astral Codex Ten, with an archive of posts from Slate Star Codex. It's just me reading Scott Alexander's blog posts.
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Your Review: Alpha School
07/04/2025
Your Review: Alpha School
[This is one of the finalists in the 2025 review contest, written by an ACX reader who will remain anonymous until after voting is done. I’ll be posting about one of these a week for several months. When you’ve read them all, I’ll ask you to vote for a favorite, so remember which ones you liked] “Just as we don’t accept students using AI to write their essays, we will not accept districts using AI to supplant the critical role of teachers.” — Arthur Steinberg, American Federation of Teachers‑PA, reacting to Alpha’s cyber‑charter bid, January 2025 In January 2025, the charter school application of “”, a subsidiary of “”, lit up the education press: two hours of “AI‑powered” academics, 2.6x learning velocity, and zero teachers. Sympathetic reporters repeated the slogans; union leaders reached for pitchforks; Reddit muttered “.” More sophisticated critics dismissed the pitch as “selective data from expensive private schools”. But there is nowhere on the internet that provides a detailed, non-partisan, description of what the “2 hour learning” program actually is, let alone an objective third party analysis to back up its claims. 2-Hour Learning’s flagship school is the “Alpha School” in Austin Texas. The makes three claims: Love School Learn 2X in two-hours per day Learn Life Skills Only the second claim seems to be controversial, which may be exactly why that is the claim the Alpha PR team focuses on. That PR campaign makes three more sub-claims on what the two-hour, 2x learning really means: “Learn 2.6X faster.” (on average) “Only two hours of academics per day.” “Powered by AI (not teachers).” If all of this makes your inner Bayesian flinch, you’re in good company. After twenty‑odd years of watching shiny education fixes wobble and crash—KIPP, AltSchool, Summit Learning, One-laptop-per-child, No child left behind, MOOCs, Khan‑for‑Everything—you should be skeptical. Either Alpha is (a) another program for the affluent propped up by selection effects, or (b) a clever way to turn children into joyless speed‑reading calculators. Those were, more or less, the two critical camps that emerged when Alpha’s parent company was approved to launch the tuition‑free Arizona charter school this past January. Unfortunately, the public evidence base on whether this is “real” is thin in both directions. Alpha’s own material is glossy and elliptical; mainstream coverage either repeats Alpha’s talking points, or attacks the premise that kids should even be allowed to learn faster than their peers. Until Raj Chetty installs himself in the hallway with a clipboard counting MAP percentiles it is hard to get real information on what exactly Alpha is doing, whether it is actually working beyond selection effects, and if there is anyway it could scale in a way that all the other education initiatives seemed to fail to do. I first heard about Alpha in May 2024, and in the absence of randomized‑controlled clarity, I did what any moderately obsessive parent with three elementary-aged kids and an itch for data would do: I moved the family across the country to Austin for a year and ran the experiment myself (unfortunately, despite trying my best we never managed to have identical twins, so I stopped short of running a proper control group. My wife was less disappointed than I was). Since last autumn I’ve collected the sort of on‑the‑ground detail that doesn’t surface in press releases, or is available anywhere online: long chats with founders, curriculum leads, “guides” (not teachers), Brazilian Zoom coaches, sceptical parents, ecstatic parents, and the kids who live inside the Alpha dashboard – including my own. I hope this seven-part review can help share what the program actually is and that this review is more open minded than the critics, but is something that would never get past an Alpha public relations gatekeeper:
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Missing Heritability: Much More Than You Wanted To Know
07/01/2025
Missing Heritability: Much More Than You Wanted To Know
The Story So Far The mid-20th century was the golden age of nurture. Psychoanalysis, behaviorism, and the spirit of the ‘60s convinced most experts that parents, peers, and propaganda were the most important causes of adult personality. Starting in the 1970s, the pendulum swung the other way. Twin studies shocked the world by demonstrating that most behavioral traits - especially socially relevant traits like IQ - were substantially genetic. Typical estimates for adult IQ found it was about 60% genetic, 40% unpredictable, and barely related at all to parenting or family environment. By the early 2000s, genetic science reached a point where scientists could start pinpointing the particular genes behind any given trait. Early candidate gene studies, which hoped to find single genes with substantial contributions to IQ, depression, or crime, mostly failed. They were replaced with genome wide association studies, which accepted that most interesting traits were polygenic - controlled by hundreds or thousands of genes - and trawled the whole genome searching for variants that might explain 0.1% or even 0.01% of the pie. The goal shifted toward polygenic scores - algorithms that accepted thousands of genes as input and spit out predictions of IQ, heart disease risk, or some other outcome of interest. The failed candidate gene studies had sample sizes in the three or four digits. The new genome-wide studies needed five or six digits to even get started. It was prohibitively difficult for individual studies to gather so many subjects, genotype them, and test them for the outcome of interest, so work shifted to big centralized genome repositories - most of all the UK Biobank - and easy-to-measure traits. Among the easiest of all was educational attainment (EA), ie how far someone had gotten in school. Were they a high school dropout? A PhD? Somewhere in between? This correlated with all the spicy outcomes of interest people wanted to debate - IQ, wealth, social class - while being objective and easy to ask about on a survey. Twin studies suggested that IQ was about 60% genetic, and EA about 40%. This seemed to make sense at the time - how far someone gets in school depends partly on their intelligence, but partly on fuzzier social factors like class / culture / parenting. The first genome-wide studies and polygenic scores found enough genes to explain 2%pp of this 40% pie. The remaining 38%, which twin studies deemed genetic but where researchers couldn’t find the genes - became known as “the missing heritability” or “the heritability gap”. Scientists came up with two hypothesis for the gap, which have been dueling ever since: Maybe twin studies are wrong. Maybe there are genes we haven’t found yet For most of the 2010s, hypothesis 2 looked pretty good. Researchers gradually gathered bigger and bigger sample sizes, and found more and more of the missing heritability. A big 2018 study increased the predictive power of known genes from 2% to 10%. An even bigger 2022 study increased it to 14%, and current state of the art is around 17%. Seems like it was sample size after all! Once the samples get big enough we’ll reach 40% and finally close the gap, right? This post is the story of how that didn’t happen, of the people trying to rehabilitate the twin-studies-are-wrong hypothesis, and of the current status of the debate. Its most important influence/foil is , whose blog introduced me to the new anti-hereditarian movement and got me to research it further, but it’s also inspired by , (not himself an anti-hereditarian, but his research helped ignite interest in this area), and . (while I was working on this draft, the East Hunter Substack . Theirs is good and I recommend it, but I think this one adds enough that I’m publishing anyway)
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Open Questions For Future ACX Grants Rounds
07/01/2025
Open Questions For Future ACX Grants Rounds
Related to:
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ACX Grants 1-3 Year Updates
06/29/2025
ACX Grants 1-3 Year Updates
The first cohort of ACX Grants was announced in , the second in . In 2022, I posted for the first cohort. Now, as I start thinking about a third round, I’ve collected one-year updates on the second and three-year updates on the first. Many people said my request for updates went to their spam folder; relatedly, many people have not yet sent in their updates. If you’re a grantee who didn’t see my original email, but you do see this post, please fill in the update form . All quote blocks are the grantees’ own words; text outside of quote blocks is my commentary.
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The Claude Bliss Attractor
06/18/2025
The Claude Bliss Attractor
This is where if two copies of Claude talk to each other, they end up spiraling into rapturous discussion of spiritual bliss, Buddhism, and the nature of consciousness. From the : Anthropic swears they didn’t do this on purpose; when they ask Claude why this keeps happening, Claude can’t explain. Needless to say, this has made lots of people freak out / speculate wildly. I think there are already a few good partial explanations of this (especially Nostalgebraist ), but they deserve to be fleshed out and spread more fully.
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"But" vs. "Yes, But"
06/18/2025
"But" vs. "Yes, But"
This is another heuristic from the same place as . If someone proves you are absolutely, 100% wrong about something, it’s polite to say “Oh, I guess I was wrong, sorry” before launching into your next argument. That is, instead of:
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If It's Worth Your Time To Lie, It's Worth My Time To Correct It
06/14/2025
If It's Worth Your Time To Lie, It's Worth My Time To Correct It
People don’t like nitpickers. “He literally did the WELL AKTUALLY!” If you say Joe Criminal committed ten murders and five rapes, and I object that it was actually only six murders and two rapes, then why am I “defending” Joe Criminal? Because if it’s worth your time to lie, it’s worth my time to correct it.
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P-Zombies Would Report Qualia
06/14/2025
P-Zombies Would Report Qualia
There’s a long-running philosophical argument about the conceivability of otherwise-normal people who are not conscious, aka . This has spawned a shorter-running (only fifteen years!) rationalist sub-argument on the topic. The last time I checked its status was , which says: 1. Both Yudkowsky and Chalmers agree that humans possess “qualia”. 2. Chalmers argues that a superintelligent being which somewhow knew the positions of all particles in a large region of the Universe would need to be told as an additional fact that any humans (or other minds possessing qualia) in this region of space possess qualia – it could not deduce this from mere perfect physical knowledge of their constituent particles. Therefore, qualia are in some sense extra-physical. 3. Yudkowsky argues that such a being would notice that humans discuss at length the fact that they possess qualia, and their internal narratives also represent this fact. It is extraordinarily improbable that beings would behave in this manner if they did not actually possess qualia. Therefore an omniscient being would conclude that it is extremely likely that humans possess qualia. Therefore, qualia are not extra-physical. I want to re-open this (sorry!) by disagreeing with the bolded sentence. I think beings would talk about qualia - the “mysterious redness of red” and all that - even if we start by assuming they don’t have it. I realize this is a surprising claim, but that’s why it’s interesting enough to re-open the argument over.
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Choose Nonbook Review Finalists 2025
06/14/2025
Choose Nonbook Review Finalists 2025
It's time to narrow the 141 entries in the to about a dozen finalists. I can't read 141 reviews alone, so I need your help. Please pick as many as you have time for, read them, and rate them . Don’t read them in order! If you read them in order, I’ll have 1,000 votes on the first review, 500 on the second, and so on to none in the second half. Either pick a random review (thanks to Taymon for making a random-review-chooser script ) or scroll through the titles until you find one that catches your interest - you can see individual entries here (thanks to a reader for collating them): Again, the rating form is . Thanks! You have until June 20, when I’ll count the votes and announce the finalists.
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Bayes For Everyone
06/14/2025
Bayes For Everyone
A guest post by Brandon Hendrickson [Editor’s note: I accept guest posts from certain people, especially past Book Review Contest winners. Brandon Hendrickson, whose won the 2023 contest, has taken me up on this and submitted this essay. He writes at and will be at this weekend, where he and Jack Despain Zhou aka TracingWoodgrains will be doing a live conversation about education.] I began my of a couple years back with a rather simple question: Could a new kind of school make the world rational? What followed, however, was a sprawling distillation of one scholar’s answer that I believe still qualifies as “the longest thing anyone has submitted for an ACX contest”. Since then I’ve been diving into particulars, exploring how we use the insights I learned while writing it to start re-enchanting all the academic subjects from kindergarten to high school. But in the fun of all that, I fear I’ve lost touch with that original question. How, even in theory, could a method of education help all students become rational? It probably won’t surprise you that I think part of the answer is Bayes’ theorem. But the equation is famously prickly and off-putting:
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Sorry, I Still Think MR Is Wrong About USAID
06/14/2025
Sorry, I Still Think MR Is Wrong About USAID
Tyler Cowen of Marginal Revolution continues to disagree with my . Going through piece by piece, slightly out of order: Scott takes me to be endorsing Rubio’s claim that the third-party NGOs simply pocket the money. In reality my fact check with o3 found (correctly) that the money was “channelled through” the NGOs, not pocketed. Scott lumps my claim together with Rubio’s as if we were saying the same thing. My very next words (“I do understand that not all third party allocations are wasteful…”) show a clear understanding that the money is channeled, not pocketed, and makes that clearer yet at greater length. Scott is simply misrepresenting me here. The full post is in the image below:
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Moments Of Awakening
06/05/2025
Moments Of Awakening
Consciousness is the great mystery. In search of answers, scientists have plumbed every edge case they can think of - sleep, comas, lucid dreams, LSD trips, meditative ecstasies, seizures, neurosurgeries, . Still, new stuff occasionally turns up. I assume is a troll (source: the guy has a frog avatar):
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Contra MR On Charity Regrants
06/05/2025
Contra MR On Charity Regrants
I often disagree with Marginal Revolution, but made me a new level of angry:
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The Evidence That A Million Americans Died Of COVID
06/05/2025
The Evidence That A Million Americans Died Of COVID
Many commenters responded to by challenging the claim that 1.2 million Americans died of COVID...
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The Other COVID Reckoning
06/05/2025
The Other COVID Reckoning
Five years later, we can’t stop talking about COVID. Remember lockdowns? The conflicting guidelines about masks - don’t wear them! Wear them! Maybe wear them! School closures, remote learning, learning loss, something about teachers’ unions. That one Vox article on how worrying about COVID was anti-Chinese racism. The time Trump sort of half-suggested injecting disinfectants. Hydroxychloroquine, ivermectin, fluvoxamine, Paxlovid. Those jerks who tried to pressure you into getting vaccines, or those other jerks who wouldn’t get vaccines even though it put everyone else at risk. Anthony Fauci, Pierre Kory, Great Barrington, Tomas Pueyo, Alina Chan. Five years later, you can open up any news site and find continuing debate about all of these things. The only thing about COVID nobody talks about anymore is the 1.2 million deaths.
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Book Review: Selfish Reasons To Have More Kids
06/03/2025
Book Review: Selfish Reasons To Have More Kids
Bryan Caplan’s is like the Bible. You already know what it says. You’ve already decided whether you believe or not. Do you really have to read it all the way through? But when you’re going through a rough patch in your life, sometimes it helps to pick up a Bible and look for pearls of forgotten wisdom. That’s where I am now. Having twins is a lot of work. My wife does most of it. My nanny does most of what’s left. Even so, the remaining few hours a day leave me exhausted. I decided to read the canonical book on how having kids is easier and more fun than you think, to see if maybe I was overdoing something. After many trials, tribulations, false starts, grabs, shrieks, and attacks of opportunity . . .
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In Search Of /r/petfree
06/03/2025
In Search Of /r/petfree
, and a few names always come up. and are unpopular, but if I read them with an open mind, I always end up sympathetic - neither lifestyle is persecuted in my particular corner of society, but the Redditors there have usually been through some crazy stuff, and I don’t begrudge them a place to vent. The one that really floors me is . The denizens of /r/petfree don’t like pets. Their particular complaints vary, but most common are: Some stores either allow pets or don’t enforce bans on them, and then there are pets go in those stores, and they are dirty and annoying. Some parks either allow off-leash pets or don’t enforce bans on them, and then there are off-leash pets in those parks, and they are dirty and annoying. Sometimes pets attack people. Sometimes inconsiderate people get pets they can’t take care of and offload some of the burden onto you. Sometimes people are cringe about their pets, in an “AWWWWW MY PRECIOUS WITTLE FUR BABY” way. Sometimes people barge into spaces that are about something else and talk about their pets instead. These are all valid complaints. But the people on /r/petfree go a little far:
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Highlights From The Comments On AI Geoguessr
06/03/2025
Highlights From The Comments On AI Geoguessr
Thanks to everyone who commented on .
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Testing AI's GeoGuessr Genius
05/23/2025
Testing AI's GeoGuessr Genius
Some of the more unhinged writing on superintelligence pictures AI doing things that seem like magic. Crossing air gaps to escape its data center. Building nanomachines from simple components. Plowing through physical bottlenecks to revolutionize the economy in months. More sober thinkers point out that these things might be physically impossible. You can’t do physically impossible things, even if you’re very smart. No, say the speculators, you don’t understand. Everything is physically impossible when you’re 800 IQ points too dumb to figure it out. A chimp might feel secure that humans couldn’t reach him if he climbed a tree; he could never predict arrows, ladders, chainsaws, or helicopters. What superintelligent strategies lie as far outside our solution set as “use a helicopter” is outside a chimp’s?
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Moldbug Sold Out
05/23/2025
Moldbug Sold Out
Cathy Young’s new hit piece on Curtis Yarvin (aka Mencius Moldbug) doesn’t mince words. Titled , it describes him as an "inept", "not exactly coherent" "trollish, ill-informed pseudo-intellectual" notable for his "woefully superficial knowledge and utter ignorance". Yarvin’s fans counter that if you look deeper, he has good responses to Young’s objections: Both sides are right. The synthesis is that Moldbug sold out. In the late 2000s, Moldbug wrote some genuinely interesting speculations on novel sci-fi variants of autocracy. Admitting that the dictatorships of the 20th century were horrifying, he proposed creative ways to patch their vulnerabilities by combining 18th century monarchy with 22nd century cyberpunk to create something better than either. These ideas might not have been realistic. But they were cool, edgy, and had a certain intellectual appeal. Then in the late 2010s, he caught his first whiff of actual power and dropped it all like a hot potato. The MAGA movement was exactly what 2000s Moldbug feared most - a cancerous outgrowth of democracy riding the same wave of populist anger as the 20th century dictatorships he loathed. But in the hope of winning a temporary political victory, he let them wear him as a skinsuit - giving their normal, boring autocratic tendencies the mystique of the cool, edgy, all-vulnerabilities-patched autocracy he foretold in his manifestos.
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The Populist Right Must Own Tariffs
05/23/2025
The Populist Right Must Own Tariffs
President Trump’s approval rating to near-historic lows. With economic disruption from the tariffs likely to hit next month, his numbers will probably get even worse; this administration could reach unprecedented levels of unpopularity. If I were a far-right populist, I would be thinking hard about a strategy to prevent the blowback from crippling the movement. Such a strategy is easy to come by. Anger over DOGE and deportations has a natural floor. If Trump’s base starts abandoning him, it will be because of the tariffs. But tariffs aren’t a load-bearing part of the MAGA platform. Other right-populist leaders like Orban, Bukele, and Modi show no interest in them. They seem an idiosyncratic obsession of Trump’s, a cost that the rest of the movement pays to keep him around. So, (our hypothetical populist strategist might start thinking after Trump’s approval hits the ocean trenches and starts drilling) - whatever. MAGA minus Trump’s personal idiosyncrasies can remain a viable platform. You don’t even have to exert any effort to make it happen. Trump will retire in 2028 and pass the torch to Vance. And although Vance supports tariffs now, that’s only because he’s a spineless toady. After Trump leaves the picture, Vance will gain thirty IQ points, make an eloquent speech about how tariffs were the right tool for the mid-2020s but no longer, and the problem will solve itself. Right? Don’t let them get away with this. Although it’s true that tariffs owe as much to Trump’s idiosyncrasies as to the inexorable logic of right-wing populism, the ability of a President to hold the nation hostage to his own idiosyncrasies is itself a consequence of populist ideology.
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AI Futures: Blogging And AMA
05/23/2025
AI Futures: Blogging And AMA
AI Futures Project is the group behind . I’ve been helping them with . Posts written or co-written by me include: - what’s behind that METR result showing that AI time horizons double every seven months? And is it really every seven months? Might it be faster? - a look at some of the response to AI 2027, with links to some of the best objections and the team’s responses. - why we predict that America will stay ahead of China on AI in the near future, and what could change this. I will probably be shifting most of my AI blogging there for a while to take advantage of access to the team’s expertise. There’s also , and we hope to eventually host writing by other team members as well.
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Links For April 2025
05/22/2025
Links For April 2025
[I haven’t independently verified each link. On average, commenters will end up spotting evidence that around two or three of the links in each links post are wrong or misleading. I correct these as I see them, and will highlight important corrections later, but I can’t guarantee I will have caught them all by the time you read this.]
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Highlights From The Comments On POSIWID
05/22/2025
Highlights From The Comments On POSIWID
(original post: ) … Thanks to everyone who commented on this controversial post. Many people argued that the phrase had some valuable insight, but disagreed on what it was. The most popular meaning was something like “if a system consistently fails at its stated purpose, but people don’t change it, consider that the stated purpose is less important than some actual, hidden purpose, at which it is succeeding”. I agree you should consider this, but I still object to the original phrase, for several reasons.
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Come On, Obviously The Purpose Of A System Is Not What It Does
04/14/2025
Come On, Obviously The Purpose Of A System Is Not What It Does
(see Wikipedia: ) Consider the following claims The purpose of a cancer hospital is to cure two-thirds of cancer patients. The purpose of the Ukrainian military is to get stuck in a years-long stalemate with Russia. The purpose of the British government is to propose a controversial new sentencing policy, stand firm in the face of protests for a while, then cave in after slightly larger protests and agree not to pass the policy after all. The purpose of the New York bus system is to emit four billion tons of carbon dioxide. These are obviously false.
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My Takeaways From AI 2027
04/14/2025
My Takeaways From AI 2027
Here’s a list of things I updated on after working on . Some of these are discussed in more detail in the supplements, including the , , , , and . I’m highlighting these because it seems like a lot of people missed their existence, and they’re what transforms the scenario from cool story to research-backed debate contribution. These are my opinions only, and not necessarily endorsed by the rest of the team.
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AI 2027 (Full Recording with Footnotes and Text Boxes)
04/14/2025
AI 2027 (Full Recording with Footnotes and Text Boxes)
We predict that the impact of superhuman AI over the next decade will be enormous, exceeding that of the Industrial Revolution. We wrote a scenario that represents our best guess about what that might look like. It’s informed by trend extrapolations, wargames, expert feedback, experience at OpenAI, and previous forecasting successes. (A condensed two-hour version with footnotes and text boxes removed is available at the above link.)
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Introducing AI 2027
04/14/2025
Introducing AI 2027
Or maybe 2028, it's complicated In 2021, a researcher named Daniel Kokotajlo published a blog post called “”, where he laid out what he thought would happen in AI over the next five years. The world delights in thwarting would-be prophets. The sea of possibilities is too vast for anyone to ever really chart a course. At best, we vaguely gesture at broad categories of outcome, then beg our listeners to forgive us the inevitable surprises. Daniel knew all this and resigned himself to it. But even he didn’t expect what happened next. He got it all right. Okay, not literally all. The US restricted chip exports to China in late 2022, not mid-2024. AI first beat humans at Diplomacy in late 2022, not 2025. And of course the mid-2025 to 2026 period remains to be seen. But to put its errors in context, Daniel’s document was written two years before ChatGPT existed. Nobody except researchers and a few hobbyists had ever talked to an AI. In fact, talking to AI was a misnomer. There was no way to make them continue the conversation; they would free associate based on your prompt, maybe turning it into a paragraph-length short story. If you pulled out all the stops, you could make an AI add single digit numbers and get the right answer more than 50% of the time. Yet if you read Daniel’s blog post without checking the publication date, you could be forgiven for thinking it was a somewhat garbled but basically reasonable history of the last four years. I wasn’t the only one who noticed. A year later, OpenAI hired Daniel to their policy team. While he worked for them, he was limited in his ability to speculate publicly. “What 2026 Looks Like” promised a sequel about 2027 and beyond, but it never materialized. Unluckily for Sam Altman but luckily for the rest of us, Daniel broke with OpenAI mid-2024 in a dramatic split covered by and others. He founded the AI Futures Project to produce the promised sequel, including: Eli Lifland, a superforecaster who is ranked first on RAND’s Forecasting initiative. You can read more about him and his forecasting team . He cofounded and advises and co-created , an adversarial attack framework for language models. Jonas Vollmer, a VC at Macroscopic Ventures, which has done its own, more practical form of successful AI forecasting: they made an early stage investment in Anthropic, now worth $60 billion. Thomas Larsen, the former executive director of the Center for AI Policy, a group which advises policymakers on both sides of the aisle. Romeo Dean, a leader of Harvard’s AI Safety Student Team and budding expert in AI hardware. …and me! Since October, I’ve been volunteering part-time, doing some writing and publicity work. I can’t take credit for the forecast itself - or even for the lion’s share of the writing and publicity - but it’s been an immense privilege to work alongside some of the smartest and most epistemically virtuous people I know, trying to absorb their worldview on a level deep enough to do it justice. We have no illusions that we’ll get as lucky as last time, but we still think it’s a valuable contribution to the discussion.
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The Colors Of Her Coat
04/14/2025
The Colors Of Her Coat
In Ballad of the White Horse, G.K. Chesterton describes the Virgin Mary: Her face was like an open word When brave men speak and choose, The very colours of her coat Were better than good news. Why the colors of her coat? The medievals took their dyes very seriously. This was before modern chemistry, so you had to try hard if you wanted good colors. Try hard they did; they famously used literal gold, hammered into ultrathin sheets, to make golden highlights. Blue was another tough one. You could do mediocre, half-faded blues with azurite. But if you wanted perfect blue, the color of the heavens on a clear evening, you needed ultramarine. Here is the process for getting ultramarine. First, go to Afghanistan. Keep in mind, you start in England or France or wherever. Afghanistan is four thousand miles away. Your path takes you through tall mountains, burning deserts, and several dozen Muslim countries that are still pissed about the whole Crusades thing. Still alive? After you arrive, climb 7,000 feet in the mountains of Kuran Wa Munjan until you reach the mines of Sar-i-Sang. There, in a freezing desert, the wretched of the earth work themselves to an early grave breaking apart the rocks of Badakhshan to produce a few hundred kilograms per year of blue stone - the only lapis lazuli production in the known world. Buy the stone and retrace your path through the burning deserts and vengeful Muslims until you’re back in England or France or wherever. Still alive? That was the easy part. Now you need to go through a chemical extraction process that makes the Philosopher's Stone look like freshman chem lab. "The lengthy process of pulverization, sifting, and washing to produce ultramarine makes the natural pigment … roughly ten times more expensive than the stone it came from." Finally you have ultramarine! How much? I can’t find good numbers, but Claude estimates that the ultramarine production of all of medieval Europe was around the order of 30 kg per year - not enough to paint a medium-sized wall. Ultramarine had to be saved for ultra-high-value applications. In practice, the medievals converged on a single use case - painting the Virgin Mary’s coat.
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"Deros And The Ur-Abduction" In Asterisk
04/03/2025
"Deros And The Ur-Abduction" In Asterisk
invited me to participate in their “Weird” themed issue, so I wrote five thousand words on evil Atlantean cave dwarves. As always, I thought of the perfect framing just after I’d sent it out. The perfect framing is - where did Scientology come from? How did a 1940s sci-fi writer found a religion? Part of the answer is that 1940s sci-fi fandom was a really fertile place, where all of these novel mythemes about aliens, psychics, and lost civilizations were hitting a naive population certain that there must be something beyond the world they knew. This made them easy prey not just for grifters like Hubbard, but also for random schizophrenics who could write about their hallucinations convincingly. …but I didn’t think of that framing in time, so instead you get several sections of why it’s evil cave dwarves in particular, and why that theme seems to recur throughout all lands and ages:
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