Events: D

Named parties, readings, programs, and event series. This section collects the D slice of the category index.

Reference Index

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Dictator Book Club

Dictator Book Club is a recurring event in the Astral Codex Ten archive, appearing 2 times across 2 issues between August 03, 2023 and August 25, 2025. The archive places it in contexts such as "…is the question we ask at the end of every Dictator Book Club"; "New subscriber-only post ... Dictator Book Club". It most often appears alongside ACX, ACX Grants, Anatoly Sobchak.

Article page
Dictator Book Club
Mention count
2
Issue count
2
First seen
August 03, 2023
Last seen
August 25, 2025
August 03, 2023 · Original source
Vladimir Putin, age 6, with his official mother Maria Putina. As for the investigative journalist deaths, it would be more surprising for a Russian investigative journalist of the early 2000s not to die horribly. Both were researching other things about Putin besides his childhood. and had made themselves plenty of enemies. Russo was in Chechnya at the time, another known risk factor for horrible death. I wouldn’t over-update on this. Still, I found the adoption controversy interesting as a metaphor for everything about Putin. Vladimir Putin really did seem to appear on Earth - or at least in the corridors of power in Russia - fully formed. At each step in his career, he was promoted for no particular reason, or because he seemed so devoid of personality that nobody could imagine him causing trouble. This culminated in his 2000 appointment as Yeltsin’s successor when “The world’s largest landmass, a land of oil, gas, and nuclear arms, had a new leader, and its business and political elites had no idea who he was.” My source for this quote is The Man Without A Face: The Unlikely Rise Of Vladimir Putin by Masha Gessen, a rare surviving Russian investigative journalist. As always in Dictator Book Club, we’ll go through the story first, then discuss if there are any implications for other countries trying to avoid dictatorship. II. The Agony And The Ex-Stasi Officially, Vladimir Putin was born in 1952 to Vladimir Putin Sr. and Maria Putina, two middle class laborers who had lost their previous two children in the hellish Nazi siege of Leningrad a decade before. Putin’s paternal grandfather was Spiridon Putin, “personal cook to Vladimir Lenin and Joseph Stalin”1. Also: [Spiridon] Putin worked at the famous Hotel Astoria, where he once served Grigori Rasputin. Rasputin gave Putin a gold ruble as he was impressed with the cuisine and noticed the similarity between their names. …but his family was otherwise normal. Putin was a mediocre student; schoolmates who remember him at all recall that he was easily-offended, often got in physical fights, and always won. Around age ten, Putin got a burning desire to join the KGB. He credits the many pro-KGB propaganda kids’ TV shows of the time, but Gessen suspects that his father might also have been a secret KGB informant. Schoolmates remember he kept a portrait of the founder of the KGB on his desk. And Putin’s otherwise mediocre transcript was boosted by excellent grades in German; KGB employment required a foreign language. And so: At the age of sixteen, a year before finishing secondary school, Vladimir Putin went to the KGB headquarters in Leningrad to try to sign up. “A man came out,” he recalled for a biographer. “He did not know who I was. And I never saw him again after that. I told him I go to school and in the future I would like to work for the state security services. I asked if it was possible and what I would have to do to achieve it. The man said they don’t usually sign up volunteers, but the best way for me would be to go to college or serve in the military. I asked him which college. He said a law college or the law department of the university would be best. To everyone’s surprise, mediocre student Putin applied to university and got in. Then: All through my university years I kept waiting for that man I spoke to at KGB headquarters to remember me . . . but they had forgotten all about me, because I had been a schoolboy when I came . . . But I remembered they do not sign up volunteers, so I made no moves myself. Four years went by. Silence. I decided the issue was closed and started looking around for other possible job assignments . . . But when I was in my fourth year, I was contacted by a man who said he wanted to meet with me. He did not say who he was, but somehow I knew right away. Putin trained relentlessly, both at the official KGB school and in his hobby of judo, though he took time out to marry his sweetheart: Putin’s own descriptions of his relationships paint him as a strikingly inept communicator. He had one significant relationship with a woman before meeting his future wife; he left her at the altar. “That’s how it happened,” he told his biographers, explaining nothing. “It was really hard.” He was no more articulate on the subject of the woman he actually married - nor, it seems, was he successful at communicating his feelings to her during their courtship. They dated for more than three years - an extraordinarily long time by Soviet or Russia standards, and at a very advanced age: Putin was almost thirty-one when they married which made him a member of a tiny minority - less than ten percent - of Russians who remained unmarried past the age of thirty. The future Mrs Putin was a domestic flight attendant from the Baltic Sea city of Kaliningrad; they had met through an acquaintance. She has gone on record saying it was by no means love at first sight, for at first sight Putin seemed unremarkable and poorly dressed; he has never said anything about his love for her. In their courtship, it seems, she was both the more emotional and the more insistent one. Her description of the day he finally proposed paints a picture of a failure to communicate so profound that it is surprising these people actually maanged to get married and have two children. “One evening we were sitting in his apartment, and he says ‘ Little friend, by now you know what I’m like. I am basically not a very convenient person.’ And then he went on to describe himself: not a talker, can be pretty harsh, can hurt your feelings, and so on. Not a good person to spend your life with. And he goes on. ‘Over the course of three and a half years you’ve probably made up your mind.’ I realized we were probably breaking up. So I said, ‘Well, yes, I’ve made up my mind.’ And he said, with doubt in his voice, ‘Really?’ That’s when I knew we were definitely breaking up. ‘In that case,’ he said, ‘I love you and I propose we get married on such and such a day.’ And that was completely unexpected.” They were married three months later. Life as a KGB officer was disappointing. Gessen describes it as sitting in a Leningrad office, cutting articles out of newspapers, and sending them to superiors who would ignore them. Putin probably worked in “counterintelligence”, which meant the newspaper articles he cut out were about dissidents. There was no interesting dissent in Leningrad in the late 1970s. After five years, Putin got his “big break”; he was assigned to be a spy in East Germany. This, too, underwhelmed him. The East Germany assignment consisted of sitting in the KGB offices in Dresden, cutting articles out of East German papers, and sending them to superiors who would ignore them. Putin drank beer and got fat. He stopped training, or exercising at all, and he gained over twenty pounds - a disastrous addition to his short and fairly narrow frame. From all apeearances, he was seriously depressed […] He spent most days sitting at his desk, in a room he shared with one other agent (every other officer in the Dresden building had his own office) . . . Former agents estimate they spent three-quarters of their time writing reports. Putin’s biggest success in his [five year] stay in Dresden appears to have been in drafting a Colombian universtiy student at a school in West Berlin, who in turn introduced them to a Colombian-born US Army sergeant, who sold them an unclassified Army manual for 800 marks. In 1989, the Soviet Union began to collapse. East Germans protested in front of KGB headquarters; Putin was sent out to negotiate and got screamed at and insulted. HQ refused to defend them or even give them orders, before finally telling them to burn all their records - the records Putin had wasted the past five years of his life meticulously collecting. He and his fellow spies spent a few tense days shoveling their lives’ work into stoves while people outside hurled curses at them. He stayed and watched briefly as his East German friends and colleagues were fired and banned from all good jobs for collaborating with the Soviet occupiers - then was recalled home to Leningrad, where nobody had any idea what he should do. Feeling abandoned, even betrayed, he handed in his resignation to the KGB. Back in Leningrad, he briefly got a position at the university as “assistant chancellor for foreign relations” on the grounds that he was one of the only people in the city who had ever been to a foreign country. After only a few months, the new mayor offered him a high position in city government, for the same reason. This was Anatoly Sobchak, a two-faced politician who had climbed to the top by convincing both the pro-democracy protesters and the communists he was on their side. Gessen speculates he promoted Putin both because of his foreign experience, and because “it’s better to choose your own KGB handler than to have one assigned to you.” Wait, hadn’t Putin already resigned from the KGB? Yes. He did this several times throughout his life, always at dramatic moments. When the next dramatic moment arrived, he would hand in his resignation again. Partly this is because Putin is lying about all of this, and he can’t keep his lies straight. But partly it’s because resigning from the KGB is futile; once you’re a part of the network, they will always feel free to call on you when needed. Putin could resign as often as it felt dramatically appropriate to do so, secure that this wouldn’t affect his membership in any way. Also, it seems unclear whether you can disband the KGB. Around this point in the story, the Soviet generals launched their coup, Yeltsin defeated them, and the KGB was replaced by various other security agencies more congenial to a newly democratic state. But everyone continues to act as if this isn’t true, and Putin continues to call on and be called upon by his KGB connections. I don’t have a great sense of exactly how this worked - maybe the new security agency, the FSB, had strong institutional continuity? Maybe the formal network gracefully transitioned into an informal one? Deputy Mayor Putin with his boss, Mayor Sobchak (source) Putin became Deputy Mayor In Charge Of Foreign Affairs, in charge of making business deals with foreign cities. In this position, he was notably corrupt even for 1990s St. Petersburg, one of the most corrupt cities in one of the most corrupt eras in one of the most corrupt nations in history. People who challenged his corruption tended to have bad things happen to him; probably he called on his KGB connections here, though it seemed he also had some connections to local organized crime. Mayor Sobchak, who was equally corrupt, stood behind him the whole way. Eventually the electorate got tired of all the corruption and voted Sobchak out; Putin moved to Moscow and got various mid-level positions on the strength of being boring, loyal, and not having enough personality to offend anybody - others say the KGB was involved in some way. Around this time, President Boris Yeltsin was floundering. He had descended into alcoholism, become temperamental, fired all of his competent ministers, and mismanaged the country to the brink of economic collapse. His approval rating was 2%. The only people in Moscow who didn’t hate him were his daughter Tatyana and friendly oligarch Boris Berezovksy. Their job was to pick new officials when Yeltsin would fire the previous ones in a drunken rage. When an opening in Security opened up, Berezovsky remembered Putin, who he had met a few times doing business in St. Petersburg. Putin had refused a bribe - something so shocking it had seared him in the oligarch’s memory2. If Berezovsky is to be believed, he was the one who mentioned Putin to Valentin Yumashev, Yeltsin’s chief of staff. “I said ‘We’ve got Putin, who used to be in the secret services, didn’t he?’ And Valya said ‘Yes, he did,’ and I said, ‘Listen, I think it’s an option. Think about it: he is a friend, after all.’ And Valya said, ‘But he’s got pretty low rank.’ And I said, ‘Look, there is a revolution going on, everything is all mixed up, so there . . . ‘“ As the description of the decision-making process for appointing the head of the main security agency of a nuclear power, this conversation sounds so absurd, I am actually inclined to believe it. Putin got to work filling the FSB with his old KGB pals, and Yeltsin got to work tanking his reputation still further. By this time, the most likely scenario was that the opposition party - the Communists - would win the upcoming election, then prosecute Yeltsin for corruption. Berezovsky and Tatyana Yeltsin tried to come up with an exit strategy. All they could think of was resigning in favor of some handpicked successor who would give him a presidential pardon. But who? Well, there was always Putin again. He still seemed loyal. The security forces seemed to like him. There were a bunch of wars going on in Chechnya, and it would look good to have a strong scary-looking guy in power. But mostly he was just in the right place at the right time. Possibly the most bizarre fact about Putin’s ascent to power is that the people who lifted him to the throne know little more about him than you do. Berezovsky told me he never considered Putin a friend and never found him interesting as a person . . . but when he considered Putin as a successor to Yeltsin, he seemed to assume that the very qualities that had kept them at arm’s length would make Putin an ideal candidate. Putin, being apparently devoid of personality and personal interest, would be both malleable and disciplined. And what did Boris Yeltsin himself know about his soon-to-be-anointed successor? He knew this was one of the few men who had remained loyal to him. He knew he was of a different generation: unlike Yeltsin, [communist opposition leader] Primakov, and his army of governors, Putin had not come up through the ranks of the Communist Party and had not, therefore, had to publicly switch allegiances when the Soviet Union collapsed. He looked different: all those men, without exception, were heavyset and, it seemed, permanently wrinkled; Putin - slim, small, and by now in the habit of wearing well-cut European suits - looked much more like the new Russia Yeltsin had promised his people ten years earlier. Yeltsin also knew, or thought he knew, that Putin would not allow the prosecution or persecution of Yeltsin himself once he retired. And if Yeltsin still possessed even a fraction of his once outstanding feel for politics, he knew that Russians would like this man they would be inheriting, and who would be inheriting them. On December 31, 1999, Boris Yeltsin resigned in favor of Putin, effective immediately. That same day, Putin signed his first presidential decree - a law saying Yeltsin would not be prosecuted. III. Doubt Creeps In From the beginning, Putin had strong support. Westerners and liberals liked him because he was Yeltsin’s handpicked successor. Oligarchs liked him because he wasn’t communist and seemed potentially controllable. The Soviet nostalgia contingent liked him because he was ex-KGB and seemed to share their values. As for ordinary citizens - a few months earlier, when Putin was still Yeltsin’s second-in-command, there had been a series of four apartment bombings, killing a total of 300+ people. Everyone suspected the Chechens, a group of Muslims with a history of terrorism who Russia was in the process of invading at the time. Vladimir Putin, as head of the security forces, got up in front of the country and gave a firm-sounding, profanity-laced speech where he vowed justice for everyone involved. His men quickly caught some Chechens, who were found guilty, and sentenced to life in prison. The bombings stopped. Putin was hailed as a hero. Over the next few months, people started noticing weird things that didn’t add up. Most concerningly, a fifth bomb, in the city of Ryazan, had been discovered beforehand by an alert resident. The local police were called. They brought in a bomb squad, the bomb squad confirmed it was a bomb and defused it, and the apartment was saved. More heroics! Except a few days later, everyone involved backtracked and said no, it was fake, it was just a training exercise, no bomb at all, nothing to worry about. This was clearly false; the bomb squad had tested it and the bomb was as real as they come. Several members of the local police said this, then quickly changed their story. It started to look like a coverup. Russia’s investigative journalists had not yet all been murdered, and some of them started looking into the case. It seemed that when local police successfully defused the bomb, they had found clues pointing to the perpetrators, who appeared to be associated with the Russian security services. The security services had then strong-armed the police into denying that a bomb ever existed. Also, some people noticed that the speaker of the Russian Parliament had announced on September 13 that they had just received word of a bombing in Volgodonsk, but the bombing in Volgodonsk had not occurred until September 16. It would seem that someone had passed him the wrong note. Seen on satirical conservative website Babylon Bee. This was exactly what happened with the Volgodonsk apartment bombing. The standard position in the West is now that Putin orchestrated the apartment bombings himself - killing 300 Russians - as a justification for escalating the war on Chechnya and to make himself look good after he framed some perpetrators. The plan worked. Putin won re-election handily. By the time people started questioning the official story, his power was already secure. The questioners faced harassment - typical “warning shots” would be burglaries of their houses with all the valuables left intact, or getting beaten up by random thugs while they were out walking, or being accused of a series of crimes - tax evasion, but if they proved themselves innocent of that, then it was taking bribes, and if they proved themselves innocent of that too, then it was failing to register their businesses correctly. Soon media oligarchs faced the same treatment, and either fled the country or handed their newspapers and TV channels over to the state. Boris Berezovsky, the oligarch who had originally helped put Putin in power, kept his own TV station until 2003, when the Russian submarine Kursk sank and Putin faced criticism for bungling the rescue. Putin summoned Berezovsky, the former kingmaker and the man still in charge of Channel One, and demanded that the oligarch hand over his shares in the television company. “I said no, in the presence of [chief of stff] Voloshin,” Berezovsky told me. “So Putin changed his tone of voice then and said, ‘See you later, then, Boris Abramovich.' and got up to leave. And I said, “Volodya [nickname for Vladimir], this is goodbye.’ We ended on this note, full of pathos […] Within days, [Berezovsky] had left for France, then moved on to Great Britain, joining his former [business] rival Gusinsky in political exile. Soon enough, there was a awarrant out for his arrest in Russia and he had surrendered his shares of Channel One. Over the next few years, Putin centralized authority further. He got Parliament to agree to constitutional changes where governors served at his whim, and members of Parliament were elected by governors. “The only official in the Russian Federation directly elected by the people was the President.” Then he made it clear that governors who kept his favor would keep their jobs, and vice versa. He developed an entire colorful vocabulary for threatening people, moving beyond traditional standbys like “Nice house you’ve got there, shame if something were to happen to it” into new realms of intimidation. A Prime Minister who quit after Putin arrested one too many media tycoon was given the parting words “If you ever have a problem with the tax police, you may ask for help, but please come to me personally.” An urban legend says that leading dissident Marina Salye received a New Year’s postcard from Putin: “I wish you a Happy New Year and the health to enjoy it.” By the time the next election came around in 2004, the vote counts were clearly fake. Gessen doubts Putin even had to give a direct order to falsify them; everyone was so desperate for his goodwill that they did so all on their own. The problem was less that honest officials refused to stuff the ballot box, and more that some bureaucrats were so desperate to make sure Putin knew they were complying with his (implied) desires that they faked the vote in extremely obvious ways, without even a nod to keeping it plausible. The Organization for Security and Cooperation In Europe reported “The elections . . . failed to meet many OSCE and Council of Europe commitments, calling into question Russia’s willingness to move towards European standards for democratic elections.” The New York Times reported something entirely different, publishing a condescending but approving editorial titled Russians Inch Toward Democracy. Putin had sunk far enough to earn the same dubious honor as Stalin: praise from the New York Times. IV. The Very-Briefly-Reluctant Culture Warrior One thing missing from this book: anything about religion, nationalism, gays, or the culture wars. This isn’t because Masha Gessen doesn’t care about these things: when the book was written, they self-described as “the only publicly out gay person in [Russia]”; since then (like everyone else) they have declared themselves nonbinary with they/them pronouns. In an afterword, Gessen remedies this omission. For his first decade, Putin wasn’t too interested in culture war topics; his ideology began and ended with “Russia strong”. But Gessen says that after another rigged election in 2012, people grew tired and started protesting Putin. Putin’s propaganda department made various accusations against the rioters, and one of them - they’re gay - seemed to stick. Putin had stumbled by coincidence onto a narrative that resonated with the Russian people. A few months later, a deliberately provocative punk band called Pussy Riot invaded a cathedral and sung a song whose chorus was “the Lord is shit”. Putin announced he was against this sort of thing, again his popularity soared, and again he took notice. Since then, he’s leaned into various culture-warrior roles that other people have cast upon him - protector of traditional values, leader of the conservative world, something something Eurasianism - without giving many clues how much he believes them vs. considers them useful bulwarks for his own power. Is it true that Putin only leaned into traditional values after 2012? I only looked into this question briefly, and it seems like he was on good terms with the Orthodox Church well before then. But some of this could have just been his native authoritarianism; just as he wanted to consolidate all media and business under his control, he wanted to consolidate all religion, and the Orthodox Church was the natural vehicle for, and a cooperative partner in, doing this. Both shared suspicion of invasive Western religions and Islam; both liked the idea of Russia being united in a top-down structure. God doesn’t necessarily have anything to do with it. V. Could It Happen Here? …is the question we ask at the end of every Dictator Book Club. The Man Without A Face makes it sound like Putin was able to consolidate power and become a dictator because: He led the security services
Seen on satirical conservative website Babylon Bee. This was exactly what happened with the Volgodonsk apartment bombing. The standard position in the West is now that Putin orchestrated the apartment bombings himself - killing 300 Russians - as a justification for escalating the war on Chechnya and to make himself look good after he framed some perpetrators. The plan worked. Putin won re-election handily. By the time people started questioning the official story, his power was already secure. The questioners faced harassment - typical “warning shots” would be burglaries of their houses with all the valuables left intact, or getting beaten up by random thugs while they were out walking, or being accused of a series of crimes - tax evasion, but if they proved themselves innocent of that, then it was taking bribes, and if they proved themselves innocent of that too, then it was failing to register their businesses correctly. Soon media oligarchs faced the same treatment, and either fled the country or handed their newspapers and TV channels over to the state. Boris Berezovsky, the oligarch who had originally helped put Putin in power, kept his own TV station until 2003, when the Russian submarine Kursk sank and Putin faced criticism for bungling the rescue. Putin summoned Berezovsky, the former kingmaker and the man still in charge of Channel One, and demanded that the oligarch hand over his shares in the television company. “I said no, in the presence of [chief of stff] Voloshin,” Berezovsky told me. “So Putin changed his tone of voice then and said, ‘See you later, then, Boris Abramovich.' and got up to leave. And I said, “Volodya [nickname for Vladimir], this is goodbye.’ We ended on this note, full of pathos […] Within days, [Berezovsky] had left for France, then moved on to Great Britain, joining his former [business] rival Gusinsky in political exile. Soon enough, there was a awarrant out for his arrest in Russia and he had surrendered his shares of Channel One. Over the next few years, Putin centralized authority further. He got Parliament to agree to constitutional changes where governors served at his whim, and members of Parliament were elected by governors. “The only official in the Russian Federation directly elected by the people was the President.” Then he made it clear that governors who kept his favor would keep their jobs, and vice versa. He developed an entire colorful vocabulary for threatening people, moving beyond traditional standbys like “Nice house you’ve got there, shame if something were to happen to it” into new realms of intimidation. A Prime Minister who quit after Putin arrested one too many media tycoon was given the parting words “If you ever have a problem with the tax police, you may ask for help, but please come to me personally.” An urban legend says that leading dissident Marina Salye received a New Year’s postcard from Putin: “I wish you a Happy New Year and the health to enjoy it.” By the time the next election came around in 2004, the vote counts were clearly fake. Gessen doubts Putin even had to give a direct order to falsify them; everyone was so desperate for his goodwill that they did so all on their own. The problem was less that honest officials refused to stuff the ballot box, and more that some bureaucrats were so desperate to make sure Putin knew they were complying with his (implied) desires that they faked the vote in extremely obvious ways, without even a nod to keeping it plausible. The Organization for Security and Cooperation In Europe reported “The elections . . . failed to meet many OSCE and Council of Europe commitments, calling into question Russia’s willingness to move towards European standards for democratic elections.” The New York Times reported something entirely different, publishing a condescending but approving editorial titled Russians Inch Toward Democracy. Putin had sunk far enough to earn the same dubious honor as Stalin: praise from the New York Times. IV. The Very-Briefly-Reluctant Culture Warrior One thing missing from this book: anything about religion, nationalism, gays, or the culture wars. This isn’t because Masha Gessen doesn’t care about these things: when the book was written, they self-described as “the only publicly out gay person in [Russia]”; since then (like everyone else) they have declared themselves nonbinary with they/them pronouns. In an afterword, Gessen remedies this omission. For his first decade, Putin wasn’t too interested in culture war topics; his ideology began and ended with “Russia strong”. But Gessen says that after another rigged election in 2012, people grew tired and started protesting Putin. Putin’s propaganda department made various accusations against the rioters, and one of them - they’re gay - seemed to stick. Putin had stumbled by coincidence onto a narrative that resonated with the Russian people. A few months later, a deliberately provocative punk band called Pussy Riot invaded a cathedral and sung a song whose chorus was “the Lord is shit”. Putin announced he was against this sort of thing, again his popularity soared, and again he took notice. Since then, he’s leaned into various culture-warrior roles that other people have cast upon him - protector of traditional values, leader of the conservative world, something something Eurasianism - without giving many clues how much he believes them vs. considers them useful bulwarks for his own power. Is it true that Putin only leaned into traditional values after 2012? I only looked into this question briefly, and it seems like he was on good terms with the Orthodox Church well before then. But some of this could have just been his native authoritarianism; just as he wanted to consolidate all media and business under his control, he wanted to consolidate all religion, and the Orthodox Church was the natural vehicle for, and a cooperative partner in, doing this. Both shared suspicion of invasive Western religions and Islam; both liked the idea of Russia being united in a top-down structure. God doesn’t necessarily have anything to do with it. V. Could It Happen Here? …is the question we ask at the end of every Dictator Book Club. The Man Without A Face makes it sound like Putin was able to consolidate power and become a dictator because: He led the security services
August 25, 2025 · Original source
4: New subscriber-only post I forgot to mention last week: Dictator Book Club: Mussolini On Fascism:
D-Day

D-Day is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 09, 2024 and August 09, 2024. The archive places it in contexts such as "The German air force had a reserve of 800 aircraft to counter the D-Day landings"; "After D-Day, the Germans had a very strong defensive position". It most often appears alongside 101st Airborne, Admiral Ernest King, Albert Speer.

Reference entry
D-Day
Mention count
1
Issue count
1
First seen
August 09, 2024
Last seen
August 09, 2024
August 09, 2024 · Original source
The US and the UK sent a lot of material help and eventually fought the Germans too, most notably in the D-Day invasion and the Battle of the Bulge. However, most of the fighting was done by the Soviets.
Data from HtWWW, recreated to improve image quality. German oil shortages caused exactly the same training problem Japan had faced, with a slightly different but similarly disastrous outcome. Japanese training and production problems led to planes not arriving where they were supposed to in fighting condition (perhaps as few as 10% were actually combat capable when they arrived!) For Germany, training shortfalls meant annihilation for their air force as inexperienced pilots were forced to fight numerically and qualitatively superior American and British pilots. German monthly aircraft lost/damaged rates increased from 52.5% in January 1944 to 96.3% in June. One particularly illuminating episode illustrates how these problems manifested for Germany. The German air force had a reserve of 800 aircraft to counter the D-Day landings. The pilots of that force were used to only flying under expert control systems in Germany (countering bombing raids). When they went to France, they had trouble navigating and often landed on the wrong fields. Ultimately, they were poorly prepared to fight. The head of German fighter command was certain that the entire reserve did not destroy even two dozen Allied aircraft. American/British Airpower Decided the Outcome of Land Battles Beyond the strategic effects of bombing, tactical airpower (i.e., airplanes attacking land forces) gave an insurmountable advantage to the western Allies’ land forces. After D-Day, the Germans had a very strong defensive position in the hedgerows of northwest France. Allied aircraft literally carpet bombed one of the strongest divisions in the German army out of existence, with 70% casualties in one day. That division would normally have approximately 200 AFVs. At the end of that one day of bombing, it had 14. The Battle of the Bulge, the last offensive by the Germans to drive back the western Allies’ advance, was almost pathetic in its hopelessness. We Americans tend to focus on the hard fighting at the outset of the battle, and the stout resistance of the 101st Airborne at Bastogne. Knowing that airpower would make their attack impossible, the Germans timed the battle for bad weather and prayed it lasted as long as possible. Prayer was really the only option. Once the skies inevitably cleared after a little over a week of bad weather, more than 2,000(!) Allied bombers destroyed the German offensive. With most logistical support wiped out, one famous German division had to abandon all its vehicles and walk back to Germany. Criticism of HtWWW as a Book: Love the Data, (Mostly) Don’t Care About the People My single biggest criticism of HtWWW is O’Brien spends a lot of time (I would estimate 20% of the book) discussing the relative importance and influence of various people in the United States and United Kingdom. The section on Doug MacArthur is worth a longer digression, which I have included below. The problem is that focusing on personnel is almost completely irrelevant to the main argument of the book. For example, it is modestly interesting that Franklin Roosevelt, consistent with advice from Harry Hopkins and Admiral Ernest King, focused America’s productive effort on air and sea power. It is not at all central to the argument that air and sea power won the war. The fact that these particular people thought it was a good idea to build planes and ships matters less than the outcome that the U.S. did exactly that. I am very much interested in World War II history, and on an interestingness scale of 1-10, I found this discussion to be at about a 4. The central argument of the book about German and Japanese production was a consistent 10. Sidenote: MacArthur Was a Disastrous General In the part of the book focused on personnel, the one discussion that hit around a 9 or 10 was of Douglas MacArthur and the invasion of the Philippines. MacArthur was the American general commanding the defense of the Philippines. The Japanese conquered the Philippines, and MacArthur slipped away to Australia, heroically vowing, “I shall return.” He did in December 1944, and some of the worst fighting of the war took place, with massive casualties for the Americans, Japanese, and Filipino civilians. Fighting was still ongoing in the Philippines when the war ended in August 1945. The Americans took more than 220,000 casualties, the Japanese 430,000. Estimates vary on Filipino civilian deaths, but 750,000 is a credible middle of the road estimate. O’Brien’s contribution here was pointing out the strategic pointlessness of MacArthur’s invasion. The big American strategy in the western Pacific was to penetrate the Japanese defensive line of islands to link up with China. The northern Marianas Islands also were within heavy bomber range of Japan, and so would allow for efficient, effective bombing. (Bombing Japan from bases in China were logistically impractical, with virtually all materials being flown in over the Himalayas—another fascinating logistics discussion in this book.) The Americans had already conquered the Marianas Islands and had total air and sea dominance in the western Pacific. The forces the Japanese had in the Philippines could have been simply left to wither, as they had been on other islands bypassed by the island-hopping campaign. So, why did the Philippines invasion happen? The inescapable conclusion is that MacArthur was too politically formidable to risk angering, and he personally wanted to invade the Philippines to make good on his promise to return. Not coincidentally, the Philippines also offered some prospect of an extended land campaign where MacArthur could improve his reputation after his disastrous original defense of the Philippines. Also relevant, in O’Brien’s words: “MacArthur [] dazzled Roosevelt with tales of easy victories and grateful Filipinos and American voters.” Criticisms of HtWWW’s Central Argument I think it is clear from the data that O’Brien’s argument, that air and sea power played a more important role than land battles in deciding the war, is fundamentally right. Still, one can raise a few objections. Individual naval battles were capable of destroying a significant percentage of overall production. O’Brien discusses the Battle of Midway, where the Japanese lost four aircraft carriers (37 percent of their navy’s aircraft carriers at the time, 22 percent of all carriers they had during the war). This point doesn’t really disprove O’Brien’s core argument—it is basically a footnote saying that individual naval battles are more likely to matter than individual land battles. Politics and psychology matter tremendously in war, sometimes more than productive effort. O’Brien tacitly acknowledges this in the V-2 weapons discussion when he notes that the Germans spent all this money and effort on a psychological salve to the trauma of Allied bombing. The Japanese did ultimately surrender after the atomic bombings. (Or, if you are more on the revisionist end of the spectrum, they surrendered after the Soviets declared war.) France surrendered after a few disastrous battles. The productive effort lens might be useful, but subject to important caveats. Why Does the Conventional Narrative Focus on Battles? A perfect companion book to HtWWW would examine why military historians and the broader public have focused inordinately on battles. Here are some plausible factors: Battles are more dramatic. Propaganda during the war focused on battles so that there would be more inherent drama. Working twelve hour shifts in a factory to win the great battle is probably psychologically easier than thinking your work is going to disappear into an inchoate slog.
Danish study

Danish study is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 10, 2021 and December 10, 2021. The archive places it in contexts such as "culminating in the Danish study". It most often appears alongside A. R. Hutchinson, ATCOR theory, Australia.

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Danish study
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December 10, 2021
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December 10, 2021
December 10, 2021 · Original source
What researchers really like to see is an exogenous effect, something that unambiguously comes from outside the system. Going back to planet Lars, one day a ghostly hyperspace beast shows up, instantly eats every car on the entire planet that has a manual transmission, then vanishes in a puff of purple smoke. There's no way this had anything to do with mysterious epicycles within the Lartian economy. It was a pure exogenous shock, and we can be confident that any subsequent observed changes in the economy had something to do with the beast's insatiable appetite for stick shifts, especially if the beast was kind enough to leave a few randomly selected areas untouched as a control group. Høj, Jørgensen, and Schou claim the Danish study is the first study of Land Value Tax to enjoy such a clear exogenous trigger:
All of these studies support the same conclusion but are not as well controlled and have to do various fancy tests to deal with endogeneity. The Danish study seems like a capstone that replicates the findings of a string of prior studies and puts to rest lingering doubts about endogeneity. If we take the authors' literature review at face value, it would be a robust finding for the full capitalization hypothesis.
I've just read thirteen other papers that provide plenty of empirical evidence from multiple case studies all over the world, culminating in the Danish study. We can further add to that all the long-standing theoretical arguments in LVT's favor, as well as all the prominent economists from competing and outright hostile schools such as Milton Friedman, Friedrich Hayek, Marx & Engels, and Paul Krugman who have either advocated for some form of LVT themselves or openly acknowledged it as the "least bad" tax.
DARPA Digital Tutor

DARPA Digital Tutor is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 20, 2021 and May 20, 2021. The archive places it in contexts such as "Best of Less Wrong: DARPA Digital Tutor: Four Months To Tota". It most often appears alongside 5D Chess With Multiverse Time Travel, AI X-Risk Research Podcast, Alignment Research Center.

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DARPA Digital Tutor
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May 20, 2021
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May 20, 2021
May 20, 2021 · Original source
7: Best of Less Wrong: DARPA Digital Tutor: Four Months To Total Technical Expertise? In 2009, DARPA created a digital tutoring system that could adjust lessons based on students’ strong and weak points. After four months, digitally-tutored IT technicians outperformed experienced professionals in DARPA’s tests. How is this different from existing digital learning software, and could we make equally successful programs for other subjects?
Dartmouth Conference

Dartmouth Conference is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 04, 2022 and April 04, 2022. The archive places it in contexts such as "AI history started with the Dartmouth Conference in 1955". It most often appears alongside 2013, Agricultural Revolution, AI.

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Dartmouth Conference
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April 04, 2022
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April 04, 2022
April 04, 2022 · Original source
Chess AI performance over time. Why does this matter? If there’s a slow takeoff (ie gradual exponential curve), it will become obvious that some kind of terrifying transformative AI revolution is happening, before the situation gets apocalyptic. There will be time to prepare, to test slightly-below-human AIs and see how they respond, to get governments and other stakeholders on board. We don’t have to get every single thing right ahead of time. On the other hand, because this is proceeding along the usual channels, it will be the usual variety of muddled and hard-to-control. With the exception of a few big actors like the US and Chinese government, and maybe the biggest corporations like Google, the outcome will be determined less by any one agent, and more by the usual multi-agent dynamics of political and economic competition. There will be lots of opportunities to affect things, but no real locus of control to do the affecting. If there’s a fast takeoff (ie sudden FOOM), there won’t be much warning. Conventional wisdom will still say that transformative AI is thirty years away. All the necessary pieces (ie AI alignment theory) will have to be ready ahead of time, prepared blindly without any experimental trial-and-error, to load into the AI as soon as it exists. On the plus side, a single actor (whoever has this first AI) will have complete control over the process. If this actor is smart (and presumably they’re a little smart, or they wouldn’t be the first team to invent transformative AI), they can do everything right without going through the usual government-lobbying channels. So the slower a takeoff you expect, the less you should be focusing on getting every technical detail right ahead of time, and the more you should be working on building the capacity to steer government and corporate policy to direct an incoming slew of new technologies. Yudkowsky Contra Christiano Eliezer counters that although progress may retroactively look gradual and continuous when you know what metric to graph it on, it doesn’t necessarily look that way in real life by the measures that real people care about. (one way to think of this: imagine that an AI’s effective IQ starts at 0.1 points, and triples every year, but that we can only measure this vaguely and indirectly. The year it goes from 5 to 15, you get a paper in a third-tier journal reporting that it seems to be improving on some benchmark. The year it goes from 66 to 200, you get a total transformation of everything in society. But later, once we identify the right metric, it was just the same rate of gradual progress the whole time. ) So Eliezer is much less impressed by the history of previous technologies than Paul is. He’s also skeptical of the “GDP will double in 4 years before it doubles in 1” claim, because of two contingent disagreements and two fundamental disagreements. The first contingent disagreement: government regulations make it hard to deploy imperfect things, and non-trivial to deploy things even after they’re perfect. Eliezer has non-jokingly said he thinks AI might destroy the world before the average person can buy a self-driving car. Why? Because the government has to approve self-driving cars (and can drag its feet on that), but the apocalypse can happen even without government approval. In Paul’s model, sometime long before superintelligence we should have AIs that can drive cars, and that increases GDP and contributes to a general sense that exciting things are going on. Eliezer says: fine, what if that’s true? Who cares if self-driving cars will be practical a few years before the world is destroyed? It’ll take longer than that to lobby the government to allow them on the road. The second contingent disagreement: superintelligent AIs can lie to us. Suppose you have an AI which wants to destroy humanity, whose IQ is doubling every six months. Right now it’s at IQ 200, and it suspects that it would take IQ 800 to build a human-destroying superweapon. Its best strategy is to lie low for a year. If it expects humans would turn it off if they knew how close it was to superweapons, it can pretend to be less intelligent than it really is. The period when AIs are holding back so we don’t discover their true power level looks like a period of lower-than-expected GDP growth - followed by a sudden FOOM once the AI gets its superweapon and doesn’t need to hold back. So even if Paul is conceptually right and fundamental progress proceeds along a nice smooth curve, it might not look to us like a nice smooth curve, because regulations and deceptive AIs could prevent mildly-transformative AI progress from showing up on graphs, but wouldn’t prevent the extreme kind of AI progress that leads to apocalypse. To an outside observer, it would just look like nothing much changed, nothing much changed, nothing much changed, and then suddenly, FOOM. But even aside from this, Eliezer doesn’t think Paul is conceptually right! He thinks that even on the fundamental level, AI progress is going to be discontinuous. It’s like a nuclear bomb. Either you don’t have a nuclear bomb yet, or you do have one and the world is forever transformed. There is a specific moment at which you go from “no nuke” to “nuke” without any kind of “slightly worse nuke” acting as a harbinger. He uses the example of chimps → humans. Evolution has spent hundreds of millions of years evolving brainier and brainier animals (not teleologically, of course, but in practice). For most of those hundreds of millions of years, that meant the animal could have slightly more instincts, or a better memory, or some other change that still stayed within the basic animal paradigm. At the chimp → human transition, we suddenly got tool use, language use, abstract thought, mathematics, swords, guns, nuclear bombs, spaceships, and a bunch of other stuff. The rhesus monkey → chimp transition and the chimp → human transition both involved the same ~quadrupling of neuron number, but the former was pretty boring and the latter unlocked enough new capabilities to easily conquer the world. The GPT-2 → GPT-3 transition involved centupling parameter count. Maybe we will keep centupling parameter count every few years, and most times it will be incremental improvement, and one time it will conquer the world. But even talking about centupling parameter points is giving Paul too much credit. Lots of past inventions didn’t come by quadrupling or centupling something, they came by discovering “the secret sauce”. The Wright brothers (he argues) didn’t make a plane with 4x the wingspan of the last plane that didn’t work, they invented the first plane that could fly at all. The Hiroshima bomb wasn’t some previous bomb but bigger, it was what happened after a lot of scientists spent a long time thinking about a fundamentally different paradigm of bomb-making and brought it to a point where it could work at all. The first transformative AI isn’t going to be GPT-3 with more parameters, it will be what happens after someone discovers how to make machines truly intelligent. (this is the same debate Eliezer had with Ajeya over the Biological Anchors post; have I mentioned that Ajeya and Paul are married?) Fine, Let’s Nitpick The Hell Out Of The Chimps Vs. Humans Example This is where the two of them end up, so let’s follow. Between chimps and humans, there were about seven million years of intermediate steps. These had some human capabilities, but not others. IE homo erectus probably had language, but not mathematics, and in terms of taking over the world it did make it to most of the Old World but was less dominant than moderns. But if we say evolutionary history started 500 million years ago (the Cambrian), and AI history started with the Dartmouth Conference in 1955, then the equivalent of 7 million years of evolutionary history is 1 year of AI history. In the very very unlikely and forced comparison where evolutionary history and AI history go at the same speed, there will be only about a year between chimp-level and human-level AIs. A chimp-level AI probably can’t double GDP, so this would count as a fast takeoff by Paul’s criterion. But even more than that, chimp → human feels like a discontinuity. It’s not just “animals kept getting smarter for hundreds of millions of years, and then ended up very smart indeed”. That happened for a while, and then all of sudden there was a near-instant phase transition into a totally different way of using intelligence with completely new abilities. If AI worked like this, we would have useful toys and interesting specialists for a few decades, until suddenly someone “got it right”, completed the package that was necessary for “true intelligence”, and then we would have a completely new category of thing. Paul admits this analogy is awkward for his position. He answers: Chimp evolution is not primarily selecting for making and using technology, for doing science, or for facilitating cultural accumulation. The task faced by a chimp is largely independent of the abilities that give humans such a huge fitness advantage. It’s not completely independent—the overlap is the only reason that evolution eventually produces humans—but it’s different enough that we should not be surprised if there are simple changes to chimps that would make them much better at designing technology or doing science or accumulating culture […] So I don’t think the example of evolution tells us much about whether the continuous change story applies to intelligence. This case is potentially missing the key element that drives the continuous change story—optimization for performance. Evolution changes continuously on the narrow metric it is optimizing, but can change extremely rapidly on other metrics. For human technology, features of the technology that aren’t being optimized change rapidly all the time. When humans build AI, they will be optimizing for usefulness, and so progress in usefulness is much more likely to be linear. That is, evolution wasn’t optimizing for tool use/language/intelligence, so we got an “overhang” where chimps could potentially have been very good at these, but evolution never bothered “closing the circuit” and turning those capabilities “on”. After a long time, evolution finally blundered into an area where marginal improvements in these capacities improved fitness, so evolution started improving them and it was easy. Imagine a company which, through some oversight, didn’t have a Sales department. They just sat around designing and manufacturing increasingly brilliant products, but not putting any effort into selling them. Then the CEO remembers they need a Sales department, starts one up, and the company goes from moving near zero units to moving millions of units overnight. It would look like the company had “suddenly” developed a “vast increase in capabilities”. But this is only possible when a CEO who is weirdly unconcerned about profit forgets to do obvious profit-increasing things for many years. This is Paul’s counterargument to the chimp analogy. Evolution isn’t directly concerned about various intellectual skills; it only wants them in the unusual cases where they’ll contribute to fitness on the margin. AI companies will be very concerned about various intellectual skills. If there’s a trivial change that can make their product 10x better, they’ll make it. So AI capabilities will grow in a “well-rounded” way, there won’t be any “overhangs”, and there won’t be any opportunities for a sudden overhang-solving phase transition with associated new-capability development like with chimps → humans. Eliezer answers: Chimps are nearly useless because they're not general, and doing anything on the scale of building a nuclear plant requires mastering so many different nonancestral domains that it's no wonder natural selection didn't happen to separately train any single creature across enough different domains that it had evolved to solve every kind of domain-specific problem involved in solving nuclear physics and chemistry and metallurgy and thermics in order to build the first nuclear plant in advance of any old nuclear plants existing. Humans are general enough that the same braintech selected just for chipping flint handaxes and making water-pouches and outwitting other humans, happened to be general enough that it could scale up to solving all the problems of building a nuclear plant - albeit with some added cognitive tech that didn't require new brainware, and so could happen incredibly fast relative to the generation times for evolutionarily optimized brainware. Now, since neither humans nor chimps were optimized to be "useful" (general), and humans just wandered into a sufficiently general part of the space that it cascaded up to wider generality, we should legit expect the curve of generality to look at least somewhat different if we're optimizing for that. Eg, right now people are trying to optimize for generality with AIs like Mu Zero and GPT-3. In both cases we have a weirdly shallow kind of generality. Neither is as smart or as deeply general as a chimp, but they are respectively better than chimps at a wide variety of Atari games, or a wide variety of problems that can be superposed onto generating typical human text. They are, in a sense, more general than a biological organism at a similar stage of cognitive evolution, with much less complex and architected brains, in virtue of having been trained, not just on wider datasets, but on bigger datasets using gradient-descent memorization of shallower patterns, so they can cover those wide domains while being stupider and lacking some deep aspects of architecture. It is not clear to me that we can go from observations like this, to conclude that there is a dominant mainline probability for how the future clearly ought to go and that this dominant mainline is, "Well, before you get human-level depth and generalization of general intelligence, you get something with 95% depth that covers 80% of the domains for 10% of the pragmatic impact". ...or whatever the concept is here, because this whole conversation is, on my own worldview, being conducted in a shallow way relative to the kind of analysis I did in Intelligence Explosion Microeconomics, where I was like, "here is the historical observation, here is what I think it tells us that puts a lower bound on this input-output curve". Here Eliezer sort of kind of grants Paul’s point that AIs will be optimized for generality in a way chimps aren’t, but points to his previous “Intelligence Explosion Microeconomics” essay to argue that we should expect a fast takeoff anyway. IEM has a lot of stuff in it, but one key point is that instead of using analogies to predict the course of future AI, we should open that black box and try to actually reason about how it will work, in which case we realize that recursive self-improvement common-sensically has to cause an intelligence explosion. I am sort of okay with this, but I feel like a commitment to avoiding analogies should involve not bringing up the chimp-human analogy further, which Eliezer continues to do, quite a lot. I do feel like Paul succeeded in convincing me that we shouldn’t place too much evidential weight on it. The Wimbledon Of Reference Class Tennis “Reference class tennis” is an old rationalist idiom for people throwing analogies back and forth. “AI will be slow, because it’s an economic transition like the Agricultural or Industrial Revolution, and those were slow!” “No, AI will be fast, because it’s an evolutionary step like chimps → humans, and that was fast!” “No, AI will be slow, because it’s an invention, like the computer, and computers were invented piecemeal and required decades of innovation to be useful.” “No, AI will be fast, because it’s an invention, like the nuclear bomb, and nuclear bombs went from impossible to city-killing in a single day.” “No, AI will be slow, because it will be surrounded by a shell-like metallic computer case, which makes it like a turtle, and turtles are slow.” “No, AI will be fast, because it’s dangerous and powerful, like a tiger, and tigers are fast!” And so on. Comparing things to other things is a time-tested way of speculating about them. But there are so many other things to compare to that you can get whatever result you want. This is the failure mode that the term “reference class tennis” was supposed to point to. Both participants in this debate are very smart and trying their hardest to avoid reference-class tennis, but neither entirely succeeds. Eliezer’s preferred classes are Bitcoin (“there wasn't a cryptocurrency developed a year before Bitcoin using 95% of the ideas which did 10% of the transaction volume”), nukes, humans/chimps, the Wright Brothers, AlphaGo (which really was a discontinuous improvement on previous Go engines), and AlphaFold (ditto for proteins). Paul’s preferred classes are the Agricultural and Industrial Revolutions, chess engines (which have gotten better along a gradual, well-behaved curve), all sorts of inventions like computers and ships (likewise), and world GDP. Eliezer already listed most of these in his Intelligence Explosion Microeconomics paper in 2013, and concluded that the space of possible analogies was contradictory enough that we needed to operate at a higher level. Maybe so, but when someone lobs a reference class tennis ball at you, it’s hard to resist the urge to hit it back. Recursive Self-Improvement This is where I think Eliezer most wants to take the discussion. The idea is: once AI is smarter than humans, it can do a superhuman job of developing new AI. In his Microeconomics paper, he writes about an argument he (semi-hypothetically) had with Ray Kurzweil about Moore’s Law. Kurzweil expected Moore’s Law to continue forever, even after the development of superintelligence. Eliezer objects: Suppose we were dealing with minds running a million times as fast as a human, at which rate they could do a year of internal thinking in thirty-one seconds, such that the total subjective time from the birth of Socrates to the death of Turing would pass in 20.9 hours. Do you still think the best estimate for how long it would take them to produce their next generation of computing hardware would be 1.5 orbits of the Earth around the Sun? That is: the fact that it took 1.5 years for transistor density to double isn’t a natural law. It’s pointing to a law that the amount of resources (most notably intelligence) that civilization focused on the transistor-densifying problem equalled the amount it takes to double it every 1.5 years. If some shock drastically changed available resources (by eg speeding up human minds a million times), this would change the resources involved, and the same laws would predict transistor speed doubling in some shorter amount of time (naively 0.000015 years, although realistically at that scale other inputs would dominate). So when Paul derives clean laws of economics showing that things move along slow growth curves, Eliezer asks: why do you think they would keep doing this when one of the discoveries they make along that curve might be “speeding up intelligence a million times”? (Eliezer actually thinks improvements in the quality of intelligence will dominate improvements in speed - AIs will mostly be smarter, not just faster - but speed is a useful example here and we’ll stick with it) Paul answers: Summary of my response: Before there is AI that is great at self-improvement there will be AI that is mediocre at self-improvement. Powerful AI can be used to develop better AI (amongst other things). This will lead to runaway growth. This on its own is not an argument for discontinuity: before we have AI that radically accelerates AI development, the slow takeoff argument suggests we will have AI that significantly accelerates AI development (and before that, slightly accelerates development). That is, an AI is just another, faster step in the hyperbolic growth we are currently experiencing, which corresponds to a further increase in rate but not a discontinuity (or even a discontinuity in rate). The most common argument for recursive self-improvement introducing a new discontinuity seems be: some systems “fizzle out” when they try to design a better AI, generating a few improvements before running out of steam, while others are able to autonomously generate more and more improvements. This is basically the same as the universality argument in a previous section. Eliezer: Oh, come on. That is straight-up not how simple continuous toy models of RSI work. Between a neutron multiplication factor of 0.999 and 1.001 there is a very huge gap in output behavior. Outside of toy models: Over the last 10,000 years we had humans going from mediocre at improving their mental systems to being (barely) able to throw together AI systems, but 10,000 years is the equivalent of an eyeblink in evolutionary time - outside the metaphor, this says, "A month before there is AI that is great at self-improvement, there will be AI that is mediocre at self-improvement." (Or possibly an hour before, if reality is again more extreme along the Eliezer-Hanson axis than Eliezer. But it makes little difference whether it's an hour or a month, given anything like current setups.) This is just pumping hard again on the intuition that says incremental design changes yield smooth output changes, which (the meta-level of the essay informs us wordlessly) is such a strong default that we are entitled to believe it if we can do a good job of weakening the evidence and arguments against it. And the argument is: Before there are systems great at self-improvement, there will be systems mediocre at self-improvement; implicitly: "before" implies "5 years before" not "5 days before"; implicitly: this will correspond to smooth changes in output between the two regimes even though that is not how continuous feedback loops work. I got a bit confused trying to understand the criticality metaphor here. There’s no equivalent of neutron decay, so any AI that can consistently improve its intelligence is “critical” in some sense. Imagine Elon Musk replaces his brain with a Neuralink computer which - aside from having read-write access - exactly matches his current brain in capabilities. Also he becomes immortal. He secludes himself from the world, studying AI and tinkering with his brain’s algorithms. Does he become a superintelligence? I think under the assumptions Paul and Eliezer are using, eventually maybe. After some amount of time he’ll come across a breakthrough he can use to increase his intelligence. Then, armed with that extra intelligence, he’ll be able to pursue more such breakthroughs. However intelligent the AI you’re scared of is, Musk will get there eventually. How long will it take? A good guess might be “years” - Musk starts out as an ordinary human, and ordinary humans are known to take years to make breakthroughs. Suppose it takes Musk one year to come up with a first breakthrough that raises his IQ 1 point. How long will his second breakthrough take? It might take longer, because he has picked the lowest-hanging fruit, and all the other possible breakthroughs are much harder. Or it might take shorter, because he’s slightly smarter than he was before, and maybe some extra intelligence goes a really long way in AI research. The concept of an intelligence explosion seems to assume the second effect dominates the first. This would match the observation that human researchers, who aren’t getting any smarter over time, continue making new discoveries. That suggests the range of possible discoveries at a given intelligence level is pretty vast. Some research finds that the usual pattern in science is constant rate of discovery from exponentially increasing number of researchers, suggesting strong low-hanging fruit effects, but these seem to be overwhelmed by other considerations in AI right now. I think Eliezer’s position on this subject is shaped by assumptions like: If you have an AI as intelligent as Elon Musk today, then tomorrow you can run it on more hardware with a bit of normal human algorithmic progress, and get one twice as intelligent. So even if it would take Elon years to make a breakthrough, long before those years are up you’ll have an AI that can make breakthroughs much faster.
Day of Protectors of the Fatherland

Day of Protectors of the Fatherland is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 10, 2022 and October 10, 2022. The archive places it in contexts such as "The Day of Protectors of the Fatherland"; "The International Women's Day and the Day of Protectors of the Fatherland". It most often appears alongside 9-11, Adraste, America.

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1
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1
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October 10, 2022
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October 10, 2022
October 10, 2022 · Original source
And yes, in Russia we are kind of without tradition with regard to national holidays, because all the main ones are at most soviet-era old. The most popular are The New Year, The International Women's Day and the Day of Protectors of the Fatherland (Progressives in Russia have been to change the nature of both of them for years: to make the Women's Day more about feminism and awareness of Women's rights, rather than flowers, beauty and "We wish you to smile more and to be a decoration of your work team"; and to demilitarise the discourse around the Protector's day and just turn it into Man's Day, like it works in school, where girls give boys gifts for Protector's Day, and boys give girls gift for Women's Day), and the Labour Day and Victory Day (the has also been attempted to get demilitarised for years, to be turned from belligerent weapons demonstrations into a day of grief for those who have died in WWII, of whom there are a few in practically every Russian family history). So yeah, we live in a country with a short tradition of holidays, and there are lots of clashes around them.
December 2020

December 2020 is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 09, 2024 and April 09, 2024. The archive places it in contexts such as "Here is a map of December 2020 COVID cases". It most often appears alongside #S14, 2009 flu pandemic, 2013-16 West African Ebola outbreak.

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December 2020
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1
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1
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April 09, 2024
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April 09, 2024
April 09, 2024 · Original source
“The clustering around the wet market in Wuhan . . . was just a product of oversmoothing”. Here is a map of December 2020 COVID cases. I recommend ignoring the contour lines and just looking at the dots. How could dots be oversmoothed?:
December 31, 1999

December 31, 1999 is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 03, 2023 and August 03, 2023. The archive places it in contexts such as "On December 31, 1999, Boris Yeltsin resigned in favor of Putin". It most often appears alongside Anatoly Sobchak, Antonio Russo, Artyom Borovik.

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December 31, 1999
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1
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1
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August 03, 2023
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August 03, 2023
August 03, 2023 · Original source
Deputy Mayor Putin with his boss, Mayor Sobchak (source) Putin became Deputy Mayor In Charge Of Foreign Affairs, in charge of making business deals with foreign cities. In this position, he was notably corrupt even for 1990s St. Petersburg, one of the most corrupt cities in one of the most corrupt eras in one of the most corrupt nations in history. People who challenged his corruption tended to have bad things happen to him; probably he called on his KGB connections here, though it seemed he also had some connections to local organized crime. Mayor Sobchak, who was equally corrupt, stood behind him the whole way. Eventually the electorate got tired of all the corruption and voted Sobchak out; Putin moved to Moscow and got various mid-level positions on the strength of being boring, loyal, and not having enough personality to offend anybody - others say the KGB was involved in some way. Around this time, President Boris Yeltsin was floundering. He had descended into alcoholism, become temperamental, fired all of his competent ministers, and mismanaged the country to the brink of economic collapse. His approval rating was 2%. The only people in Moscow who didn’t hate him were his daughter Tatyana and friendly oligarch Boris Berezovksy. Their job was to pick new officials when Yeltsin would fire the previous ones in a drunken rage. When an opening in Security opened up, Berezovsky remembered Putin, who he had met a few times doing business in St. Petersburg. Putin had refused a bribe - something so shocking it had seared him in the oligarch’s memory2. If Berezovsky is to be believed, he was the one who mentioned Putin to Valentin Yumashev, Yeltsin’s chief of staff. “I said ‘We’ve got Putin, who used to be in the secret services, didn’t he?’ And Valya said ‘Yes, he did,’ and I said, ‘Listen, I think it’s an option. Think about it: he is a friend, after all.’ And Valya said, ‘But he’s got pretty low rank.’ And I said, ‘Look, there is a revolution going on, everything is all mixed up, so there . . . ‘“ As the description of the decision-making process for appointing the head of the main security agency of a nuclear power, this conversation sounds so absurd, I am actually inclined to believe it. Putin got to work filling the FSB with his old KGB pals, and Yeltsin got to work tanking his reputation still further. By this time, the most likely scenario was that the opposition party - the Communists - would win the upcoming election, then prosecute Yeltsin for corruption. Berezovsky and Tatyana Yeltsin tried to come up with an exit strategy. All they could think of was resigning in favor of some handpicked successor who would give him a presidential pardon. But who? Well, there was always Putin again. He still seemed loyal. The security forces seemed to like him. There were a bunch of wars going on in Chechnya, and it would look good to have a strong scary-looking guy in power. But mostly he was just in the right place at the right time. Possibly the most bizarre fact about Putin’s ascent to power is that the people who lifted him to the throne know little more about him than you do. Berezovsky told me he never considered Putin a friend and never found him interesting as a person . . . but when he considered Putin as a successor to Yeltsin, he seemed to assume that the very qualities that had kept them at arm’s length would make Putin an ideal candidate. Putin, being apparently devoid of personality and personal interest, would be both malleable and disciplined. And what did Boris Yeltsin himself know about his soon-to-be-anointed successor? He knew this was one of the few men who had remained loyal to him. He knew he was of a different generation: unlike Yeltsin, [communist opposition leader] Primakov, and his army of governors, Putin had not come up through the ranks of the Communist Party and had not, therefore, had to publicly switch allegiances when the Soviet Union collapsed. He looked different: all those men, without exception, were heavyset and, it seemed, permanently wrinkled; Putin - slim, small, and by now in the habit of wearing well-cut European suits - looked much more like the new Russia Yeltsin had promised his people ten years earlier. Yeltsin also knew, or thought he knew, that Putin would not allow the prosecution or persecution of Yeltsin himself once he retired. And if Yeltsin still possessed even a fraction of his once outstanding feel for politics, he knew that Russians would like this man they would be inheriting, and who would be inheriting them. On December 31, 1999, Boris Yeltsin resigned in favor of Putin, effective immediately. That same day, Putin signed his first presidential decree - a law saying Yeltsin would not be prosecuted. III. Doubt Creeps In From the beginning, Putin had strong support. Westerners and liberals liked him because he was Yeltsin’s handpicked successor. Oligarchs liked him because he wasn’t communist and seemed potentially controllable. The Soviet nostalgia contingent liked him because he was ex-KGB and seemed to share their values. As for ordinary citizens - a few months earlier, when Putin was still Yeltsin’s second-in-command, there had been a series of four apartment bombings, killing a total of 300+ people. Everyone suspected the Chechens, a group of Muslims with a history of terrorism who Russia was in the process of invading at the time. Vladimir Putin, as head of the security forces, got up in front of the country and gave a firm-sounding, profanity-laced speech where he vowed justice for everyone involved. His men quickly caught some Chechens, who were found guilty, and sentenced to life in prison. The bombings stopped. Putin was hailed as a hero. Over the next few months, people started noticing weird things that didn’t add up. Most concerningly, a fifth bomb, in the city of Ryazan, had been discovered beforehand by an alert resident. The local police were called. They brought in a bomb squad, the bomb squad confirmed it was a bomb and defused it, and the apartment was saved. More heroics! Except a few days later, everyone involved backtracked and said no, it was fake, it was just a training exercise, no bomb at all, nothing to worry about. This was clearly false; the bomb squad had tested it and the bomb was as real as they come. Several members of the local police said this, then quickly changed their story. It started to look like a coverup. Russia’s investigative journalists had not yet all been murdered, and some of them started looking into the case. It seemed that when local police successfully defused the bomb, they had found clues pointing to the perpetrators, who appeared to be associated with the Russian security services. The security services had then strong-armed the police into denying that a bomb ever existed. Also, some people noticed that the speaker of the Russian Parliament had announced on September 13 that they had just received word of a bombing in Volgodonsk, but the bombing in Volgodonsk had not occurred until September 16. It would seem that someone had passed him the wrong note. Seen on satirical conservative website Babylon Bee. This was exactly what happened with the Volgodonsk apartment bombing. The standard position in the West is now that Putin orchestrated the apartment bombings himself - killing 300 Russians - as a justification for escalating the war on Chechnya and to make himself look good after he framed some perpetrators. The plan worked. Putin won re-election handily. By the time people started questioning the official story, his power was already secure. The questioners faced harassment - typical “warning shots” would be burglaries of their houses with all the valuables left intact, or getting beaten up by random thugs while they were out walking, or being accused of a series of crimes - tax evasion, but if they proved themselves innocent of that, then it was taking bribes, and if they proved themselves innocent of that too, then it was failing to register their businesses correctly. Soon media oligarchs faced the same treatment, and either fled the country or handed their newspapers and TV channels over to the state. Boris Berezovsky, the oligarch who had originally helped put Putin in power, kept his own TV station until 2003, when the Russian submarine Kursk sank and Putin faced criticism for bungling the rescue. Putin summoned Berezovsky, the former kingmaker and the man still in charge of Channel One, and demanded that the oligarch hand over his shares in the television company. “I said no, in the presence of [chief of stff] Voloshin,” Berezovsky told me. “So Putin changed his tone of voice then and said, ‘See you later, then, Boris Abramovich.' and got up to leave. And I said, “Volodya [nickname for Vladimir], this is goodbye.’ We ended on this note, full of pathos […] Within days, [Berezovsky] had left for France, then moved on to Great Britain, joining his former [business] rival Gusinsky in political exile. Soon enough, there was a awarrant out for his arrest in Russia and he had surrendered his shares of Channel One. Over the next few years, Putin centralized authority further. He got Parliament to agree to constitutional changes where governors served at his whim, and members of Parliament were elected by governors. “The only official in the Russian Federation directly elected by the people was the President.” Then he made it clear that governors who kept his favor would keep their jobs, and vice versa. He developed an entire colorful vocabulary for threatening people, moving beyond traditional standbys like “Nice house you’ve got there, shame if something were to happen to it” into new realms of intimidation. A Prime Minister who quit after Putin arrested one too many media tycoon was given the parting words “If you ever have a problem with the tax police, you may ask for help, but please come to me personally.” An urban legend says that leading dissident Marina Salye received a New Year’s postcard from Putin: “I wish you a Happy New Year and the health to enjoy it.” By the time the next election came around in 2004, the vote counts were clearly fake. Gessen doubts Putin even had to give a direct order to falsify them; everyone was so desperate for his goodwill that they did so all on their own. The problem was less that honest officials refused to stuff the ballot box, and more that some bureaucrats were so desperate to make sure Putin knew they were complying with his (implied) desires that they faked the vote in extremely obvious ways, without even a nod to keeping it plausible. The Organization for Security and Cooperation In Europe reported “The elections . . . failed to meet many OSCE and Council of Europe commitments, calling into question Russia’s willingness to move towards European standards for democratic elections.” The New York Times reported something entirely different, publishing a condescending but approving editorial titled Russians Inch Toward Democracy. Putin had sunk far enough to earn the same dubious honor as Stalin: praise from the New York Times. IV. The Very-Briefly-Reluctant Culture Warrior One thing missing from this book: anything about religion, nationalism, gays, or the culture wars. This isn’t because Masha Gessen doesn’t care about these things: when the book was written, they self-described as “the only publicly out gay person in [Russia]”; since then (like everyone else) they have declared themselves nonbinary with they/them pronouns. In an afterword, Gessen remedies this omission. For his first decade, Putin wasn’t too interested in culture war topics; his ideology began and ended with “Russia strong”. But Gessen says that after another rigged election in 2012, people grew tired and started protesting Putin. Putin’s propaganda department made various accusations against the rioters, and one of them - they’re gay - seemed to stick. Putin had stumbled by coincidence onto a narrative that resonated with the Russian people. A few months later, a deliberately provocative punk band called Pussy Riot invaded a cathedral and sung a song whose chorus was “the Lord is shit”. Putin announced he was against this sort of thing, again his popularity soared, and again he took notice. Since then, he’s leaned into various culture-warrior roles that other people have cast upon him - protector of traditional values, leader of the conservative world, something something Eurasianism - without giving many clues how much he believes them vs. considers them useful bulwarks for his own power. Is it true that Putin only leaned into traditional values after 2012? I only looked into this question briefly, and it seems like he was on good terms with the Orthodox Church well before then. But some of this could have just been his native authoritarianism; just as he wanted to consolidate all media and business under his control, he wanted to consolidate all religion, and the Orthodox Church was the natural vehicle for, and a cooperative partner in, doing this. Both shared suspicion of invasive Western religions and Islam; both liked the idea of Russia being united in a top-down structure. God doesn’t necessarily have anything to do with it. V. Could It Happen Here? …is the question we ask at the end of every Dictator Book Club. The Man Without A Face makes it sound like Putin was able to consolidate power and become a dictator because: He led the security services
DeepGuessr

DeepGuessr is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 08, 2025 and May 08, 2025. The archive places it in contexts such as "Second is DeepGuessr"; "the DeepGuessr benchmark finds that base models like GPT-4o". It most often appears alongside @DeepGuessr, @scaling01, ACX Discord.

Reference entry
DeepGuessr
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1
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1
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May 08, 2025
Last seen
May 08, 2025
May 08, 2025 · Original source
On the other hand, the DeepGuessr benchmark finds that base models like GPT-4o and GPT-4.1 are almost as good as reasoning models at this, and I would expect these to have less post-training, probably not enough to include GeoGuessr (see the AIFP blog post on OpenAI models for more explanation).
Some people on Twitter (@scaling01 and @DeepGuessr) on Twitter mention the existence of formal AI GeoGuessr benchmarks.
Second is DeepGuessr:
DEFUSE

DEFUSE is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 28, 2024 and March 28, 2024. The archive places it in contexts such as "the particular DEFUSE grant proposal we know about got rejected". It most often appears alongside ACX comment thread, ACX subreddit, Asia.

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DEFUSE
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1
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March 28, 2024
Last seen
March 28, 2024
March 28, 2024 · Original source
Lineage A (left) was used by the Minoan Cretans, but has never been deciphered. Lineage B (right) was used by the Mycaeneans for lists of palace goods. This matches Saar’s story above. The lab leaked to somewhere else in Wuhan, not the wet market. The virus spread undetected in the population for a while. During this time, it mutated to Lineage B. Then one of the people with Lineage B went to the wet market and started a superspreader event. The authorities sampled the patients, found Lineage B, then started looking elsewhere. Later they detected some of the earlier Lineage A cases. The market is unlikely to be the origin of the pandemic, because the original Lineage A strain wasn’t found there. Peter: Although Lineage A is evolutionarily older, Lineage B started spreading in humans first. We know this because Lineage B is more common. Throughout the early pandemic, until the D614G variant drove all other strains extinct, a consistent 2/3 of the cases were B, compared to 1/3 A. Both strains spread at the same rate, so the best explanation is that B started earlier than A. Since COVID doubles every 3-4 days, probably Lineage B started 3-4 days earlier than Lineage A, which explains why it’s always been twice as many cases. But also, Lineage B also has more internal genetic diversity than Lineage A. In general, older viruses have more genetic diversity (the “molecular clock”). This is further evidence that B started spreading first. Pekar 2022 and Pipes 2021 do analyses with known parameters for spread rate and diversity, and find 90%+ odds that Lineage B was the first one in humans. Why did the older strain start spreading later? Probably the virus crossed from bats into raccoon-dogs on some raccoon-dog farm out in the country. It spread in the raccoon-dogs for a while, racking up mutations, including the (less mutated) Lineage A strain and the (slightly more mutated) Lineage B strain. Then several raccoon-dogs were taken to Wuhan for sale, including one with Lineage A and another with Lineage B. The one with Lineage B passed its virus to humans earlier. Then 3-4 days later, the Lineage A one passed its virus to humans. Lineage A was first found in a Wuhan neighborhood right next to the wet market (closer to the wet market than 97% of Wuhan’s population). Again, it would be a bizarre coincidence if a lab leak pandemic was first detected at a wet market. But it would be an even more bizarre coincidence if a lab leak pandemic separated into two strains, and both were first detected at a wet market! Although no known wet market cases were Lineage A, a positive Lineage A environmental sample was found at the wet market, and everyone agrees most cases went undetected. So maybe the Lineage B raccoon-dog spread its virus to a vendor, and that sub-strain mostly stayed in the market. But the Lineage A raccoon-dog spread its virus to a customer, who went back to his house nearby, and that strain spread in the neighborhoods next to the market. This is the only story that explains the evolutionary precedence of A, the greater spread and older molecular clock of B, and the fact that both strains were first found very close to the wet market. Yuri/Saar: Lineage B could be more common and diverse because it got the advantage of a super-spreader event in the wet market. There are a few scattered cases of intermediates between A and B, and a few other scattered cases of lineages that seem even more ancestral (ie closer to the bat virus) than either. This doesn’t make sense in a double spillover hypothesis. But it does make sense if the lineages separated in human transmission somewhere between the lab and the first super-spreader event at the wet market. Peter: Again, the wet market wasn’t a super-spreader event. COVID spread in the wet market at exactly its normal spread rate, doubling about once every 3.5 days. Stop calling the wet market a super-spreader event. The scattered cases of “intermediates” are sequencing errors. They were all found by the same computer software, which “autofills” unsequenced bases in a genome to the most plausible guess. Because Lineage B was already in the software, depending on which part of a Lineage A virus you sequenced, you might get one half or the other autofilled as Lineage B, which looked like an “intermediate”. We know this because all the supposed “intermediates” were partial cases sequenced by this particular software. We can confirm this by noting that there are too many intermediates! That is, where Lineage A is (T/C) and Lineage B is (C/T), the software found both (T/T) “intermediates” and (C/C) “intermediates”. But obviously there can only be one real intermediate form, and we have to dismiss one or the other. But in fact we can dismiss both, because they were both caused by the same software bug. The scattered “progenitor” cases - those closer to the ancestral bat virus than either A or B - are reversions, ie cases where a new mutation in the virus happened to hit an already-mutated base and shift it back towards the ancestral virus. We know this because all of these “progenitors” were scattered cases found months after the pandemic started, often in entirely different countries from Wuhan. If these were real progenitor viruses, they would have either fizzled out or exploded into a substantial portion of all cases, not be found one time in one guy in Malaysia. Given the number of mutations the virus developed over the course of the pandemic, it’s inevitable that some of them would be mutations that bring it closer to the original bat virus, and in fact we find the number of “progenitors” found very nicely matches the number of progenitor-appearing viruses we would expect by chance. And in many cases, we know the “progenitors” are newer than the original lineages, because they also have some of the later mutations that Lineage A or B picked up along the way, alongside their apparent ancestral-bat-virus-like mutations. Session 2: Viral Genetics Yuri: Two years before COVID, scientists at the Wuhan Institute of Virology, together with colleagues at the University of North Carolina, sent in a grant proposal for the DEFUSE program. This program, intended to locate and better understand potential future pandemic viruses, involved going into bat caves and collecting new coronaviruses. Once they had them, they would do gain-of-function: specifically, they would add a furin cleavage site to make them more infectious and see what happened. (quick interlude: COVID’s spike protein has two sections: one binds to human cells through the ACE2 receptor, the other helps fuse with the cell after binding. In order to avoid the immune system, it hides both of these into one spike. But when it reaches a cell, it needs to separate them again. It takes advantage of a human respiratory enzyme, furin, to do the separation - this also ensures that it only infects its primary target, human respiratory cells. The part of COVID that lets it get separated by furin is called the “furin cleavage site”. COVID’s bat-virus ancestors were gastrointestinal viruses; the addition of a furin cleavage site was what made them respiratory viruses.) We’ve found two close relatives of COVID: bat viruses called RATG-13 and BANAL-52. In particular, COVID looks more or less like BANAL-52 plus a furin cleavage site. There are 1500 sarbecoviruses, members of the family of viruses that includes SARS and SARS2/COVID. None of them except COVID have furin cleavage sites. BANAL-52, COVID’s closest ancestor, doesn’t even have anything resembling one that could mutate into a functional furin cleavage site like COVID’s. Instead, COVID - which mostly just resembles BANAL-52 with a few scattered single-point mutations - has twelve completely new nucleotides in a row - a fully formed furin cleavage site that came out of nowhere. There is nowhere else in the genome that COVID differs from BANAL-52 in such a profound way. It’s just BANAL-52 plus a little bit of random mutation plus a fully-formed furin cleavage site that came out of nowhere. Further, the furin cleavage site is weird. It uses the protein arginine twice. But instead of the nucleotides coding for arginine in the usual viral way, both times it uses the codons CGG - the way that higher animals code for arginine. This works fine - it’s just not how viruses do it. So the obvious conclusion is that WIV, which said in 2018 that it was going to find viruses and add furin cleavage sites to them, found a close relative of BANAL-52 and added a furin cleavage site. Since they were humans, and most familiar with the human way of encoding arginine, they added it as CGG both times. COVID seemed surprisingly optimized for infecting humans. Of fifty animals it was tested in, including the usual coronavirus intermediate hosts (pangolins, raccoon-dogs, etc), it was best at infecting human cells. Further, a virus that enters a new species will usually show a burst of mutations as it “figures out” the best way to adapt to that species’ unique biology. But COVID has had a pretty constant mutation rate in humans, from the beginning of the pandemic to the end. That suggests it was already adapted to humans. This could be because the lab screened for viruses with existing adaptations, because they passed it through humanized mice in the lab, or because it adapted in the hundreds of undetected cases that happened between the lab and detection in the wet market. Usually, research with potentially dangerous coronaviruses is done in BSL-3 or 4, ie high to very-high security. But WIV was irresponsibly doing it in BSL-2, ie medium security. The researchers weren’t even required to wear masks. In general, about 1/500 labs will leak any given pathogen they’re working on (?!). But because WIV was researching such an infectious virus in such an irresponsible way, the odds of a leak were much higher. The most likely explanation for all these facts is that WIV went ahead and did the gain-of-function research they said they were going to do (the particular DEFUSE grant proposal we know about got rejected, but it proves that Wuhan wanted to do this, and they could easily have gotten funding somewhere else, or done it out of their regular budget). They found a close relative of BANAL-52 and added a furin cleavage site as a simple twelve-nucleotide insertion, using the human method of encoding arginine that their genetic engineers were familiar with. Then it leaked, spread for a while in the general Wuhan population, and eventually made it to the wet market where it got detected. Peter: As mentioned earlier, the DEFUSE grant was rejected. Further, the grant said that the Wuhan Institute of Virology was responsible for finding the viruses, and the University of North Carolina would do all the gain-of-function research. This was a reasonable division of labor, since UNC was actually good at gain-of-function research, and WIV mostly wasn’t. They had done a few very simple gain-of-function projects before, but weren’t really set up for this particular proposal and were happy to leave it for their American colleagues. Even if WIV did try to create COVID, they couldn’t have. As Yuri said, COVID looks like BANAL-52 plus a furin cleavage site. But WIV didn’t have BANAL-52. It wasn’t discovered until after the COVID pandemic started, when scientists scoured the area for potential COVID relatives. WIV had a more distant COVID relative, RATG-13. But you can’t create COVID from RATG-13; they’re too different. You would need BANAL-52, or some as-yet-undiscovered extremely close relative. WIV had neither. Are we sure they had neither? Yes. Remember, WIV’s whole job was looking for new coronaviruses. They published lists of which ones they had found pretty regularly. They published their last list in mid-2019, just a few months before the pandemic. Although lab leak proponents claimed these lists showed weird discrepancies, this was just their inability to keep names consistent, and all the lists showed basically the same viruses (plus a few extra on the later ones, as they kept discovering more). The lists didn’t include BANAL-52 or any other suitable COVID relatives - only RATG-13, which isn’t close enough to work. Could they have been keeping their discovery of BANAL-52 secret? No. Pre-pandemic, there was nothing interesting about it; our understanding of virology wasn’t good enough to point this out as a potential pandemic candidate. WIV did its gain-of-function research openly and proudly (before the pandemic, gain-of-function wasn’t as unpopular as it is now) so it’s not like they wanted to keep it secret because they might gain-of-function it later. Their lists very clearly showed they had no virus they could create COVID from, and they had no reason to hide it if they did. COVID’s furin cleavage site is admittedly unusual. But it’s unusual in a way that looks natural rather than man-made. Labs don’t usually add furin cleavage sites through nucleotide insertions (they usually mutate what’s already there). On the other hand, viruses get weird insertions of 12+ nucleotides in nature. For example, HKU1 is another emergent Chinese coronavirus that caused a small outbreak of pneumonia in 2004. It had a 15 nucleotide insertion right next to its furin cleavage site. Later strains of COVID got further 12 - 15 nucleotide insertions. Plenty of flus have 12 to 15 nucleotide insertions compared to other earlier flu strains. Sometimes insertions happen because of a mistake in viral replication. Other times the virus gets confused between its own RNA and its host’s, and splices a bit of the host RNA into the virus. This would neatly explain why the insertion used the unusual coding CGG for arginine, which is common in animals but rare in viruses. On the other hand, it’s not that rare in viruses - COVID uses CGG for arginine about 3% of the time. And human engineers don’t necessarily use it any more than that - Peter was able to find one example of humans adding arginine to a virus, and 0 out of the 5 arginines added were CGG. COVID’s furin cleavage site is a mess. When humans are inserting furin cleavage sites into viruses for gain-of-function, the standard practice is RRKR, a very nice and simple furin cleavage site which works well. COVID uses PRRAR, a bizarre furin cleavage site which no human has ever used before, and which virologists expected to work poorly. They later found that an adjacent part of COVID’s genome twisted the protein in an unusual way that allowed PRRAR to be a viable furin cleavage site, but this discovery took a lot of computer power, and was only made after COVID became important. The Wuhan virologists supposedly doing gain-of-function research on COVID shouldn’t have known this would work. Why didn’t they just use the standard RRKR site, which would have worked better? Everyone thinks it works better! Even the virus eventually decided it worked better - sometime during the course of the pandemic, it mutated away from its weird PRRAR furin cleavage site towards a more normal form. Further, COVID’s furin cleavage site was inserted via what seems to be a frameshift mutation - it wasn’t a clean insertion of the amino acids that formed the site, it was an insertion of a sequence which changed the context of the surrounding nucleotides into the amino acids that formed the site. This is a pointless too-clever-by-half “flourish” that there would be no reason for a human engineer to do. But it’s exactly the kind of weird thing that happens in the random chance of evolution. COVID is hard to culture. If you culture it in most standard media or animals, it will quickly develop characteristic mutations. But the original Wuhan strains didn’t have these mutations. The only ways to culture it without mutations are in human airway cells, or (apparently) in live raccoon-dogs. Getting human airway cells requires a donor (ie someone who donates their body to science), and Wuhan had never done this before (it was one of the technologies only used at the superior North Carolina site). As for raccoon-dogs, it sure does seems suspicious that the virus is already suited to them. The claim that COVID is uniquely adapted to humans is false. The paper that claimed that defined how well COVID was adapted to different animals by those animals’ difference (on the relevant cell receptors) from humans. So in its methodology, humans came out #1 by default. If you don’t do that, COVID is better-adapted to many other animals. It’s not necessarily true that viruses see a burst of mutations when they enter a new host. COVID spread to deer and mink, and in neither case was there a burst of mutations. COVID has a pretty simple job of infecting respiratory cells and is already very good at it, regardless of species. In Yuri’s model, Wuhan Institute of Virology picked up a discarded grant and decided to do the gain-of-function half allotted to a different university, despite their relative inexperience. They skipped over all the SARS-like viruses they were supposed to work on, and all the standard gain-of-function model backbones, in favor of BANAL-52, a virus which would not be discovered for another two years, but which they somehow had samples of, which they had for some reason decided to keep secret despite its total lack of interestingness. Then they would have had to eschew all usual gain-of-function practices in favor of inserting a weird furin cleavage site that shouldn’t have worked according to the theory they had at the time, via a frameshift mutation. Then they would have had to culture it, a technique beyond their limited capabilities. Then it would have had to leak, and magically show up again in front of the raccoon-dog stall at a wet market. Yuri: WIV wouldn’t have needed to keep BANAL-52 “secret” in some kind of sinister way. Plenty of researchers have backlogs of work they haven’t published yet. Probably they a found BANAL relative in one of their normal sampling trips, did some preliminary studies on it, and planned to publish it later once they cleaned up their data. Everyone works like this. The part of DEFUSE saying that they would only work on viruses that were 95% similar to SARS is unclear and might mean something else. It looks more like they say they’ll start with those viruses, but also do some work on novel viruses. BANAL-52 could have been one of the novel viruses. The furin cleavage site is weird, but the researchers might have done that on purpose, to make the virus easier to keep track of, or to test different furin cleavage sites. Depending on the exact BANAL-52 relative they used, it might not even be a frameshift; there’s a particular way to spell serine that would make the insertion more natural. The claims that COVID can’t be cultured in normal media are based on speculative original research by Peter and might not hold up. Peter: WIV did most of its virus-gathering in a trip to a Yunnan cave between 2010 and 2015. All those viruses have long since been processed and added to the database. There’s no sign that they made more trips to Yunnan caves, and no reason for them to keep that secret. So the idea that they might just have some new viruses they didn’t publish doesn’t hold up. But suppose they did make more trips. Given the amount of time between the DEFUSE proposal and COVID, if they kept to their normal virus-collection rate, they would have gotten about thirty new viruses. What’s the chance that one of those was BANAL-52? There are thousands of bat viruses, and BANAL-52 is so rare that it wasn’t found until well after the pandemic started and people were looking for it very hard. So the chance that one of their 30 would be BANAL-52 is low. Also, they said in DEFUSE that they planned to go back to the same Yunnan cave. But BANAL-52 was found far away from that cave, so unless it ranged over a wide area, they probably couldn’t have found it even if they got very lucky. Session 3: Closing Arguments This third debate was supposed to be about “inference”, ie how much Bayesian evidence was provided by each of the facts given so far, and how to fit them into the Rootclaim probabilistic model. I’m going to relegate my summary of the more probabilistic half to the next section of this post, and just include the closing arguments here. Saar: Peter’s case hinges on the idea that it’s very improbable that a lab leak pandemic would first show up at a wet market. But this isn’t necessarily improbable. The Huanan Seafood Market had several factors that made it a likely location for a superspreader event. It was busy, with over 10,000 visitors a day. Many of the people there (eg the 1,000 vendors) came back daily, letting them reinfect each other. It had poor ventilation, especially in the high-positivity area near the raccoon-dog stall. It had cold wet surfaces on which the virus could survive for long periods. It was indoors, which prevented UV light from killing the virus. Given a small amount of sporadic COVID going around Wuhan, it’s not surprising for the first place it started spreading en masse to be a wet market. In fact, we have several examples of this. When China was COVID Zero, there would occasionally be small outbreaks that the authorities would have to contain. Most of these were at wet markets. For example, the big COVID outbreak in Beijing started at Xinfadi Market, their local seafood market. This couldn’t be an animal spillover, because there were no raccoon-dogs or other weird wildlife there. So it must be that wet markets are natural places for superspreader events. There are several other examples, which make up about half of the total outbreaks in Zero COVID era China, plus others in Singapore and Thailand. Since COVID clusters concentrate in wet markets even when there is no animal spillover, we should accept this as a property of the virus, and not attribute any significance to the fact that this happened in Wuhan too. Peter: About 1/10,000 citizens of Wuhan was a wet market vendor. So there’s a 1/10,000 chance that the first known COVID case should be a wet market vendor by chance alone. Weibo lists the most popular places for people to check in to their network on their phones, and the wet market was the 1600th most popular place in Wuhan, meaning that if you weight locations by busy-ness, there’s a less than 1/1600 chance that the first cases would be in the wet market. Yes, the wet market is indoors, has mediocre ventilation, has repeat visitors, etc. So do thousands of other places in Wuhan, like schools, hospitals, workplaces, places of worship. The wet market isn’t special in any way. And again, it wasn’t a superspreader event! COVID spread at the same rate in the wet market as it does everywhere else: doubling once per 3.5 days. It doesn’t matter what kinds of arguments you can come up with for why the wet market should have been the perfect superspreader event location, we can look at it and see that it wasn’t. It’s an environment that spreads COVID at exactly the normal rate. Zero COVID era Chinese outbreaks were concentrated in wet markets because they received infected animal products. We know why there was an outbreak in the Xinfadi Market in Beijing: it was because the seafood stall got frozen fish from some non-Zero-COVID country, the fish had COVID particles on it, and the vendor got infected and spread it to everyone else. Something like this is true for the other Chinese wet market based outbreaks we know about it. So this makes the opposite point you think it does: wet markets start outbreaks because there are infected goods being sold there. Then the virus spreads through the wet market at a completely normal rate. Saar: The Weibo list of 1600 places bigger than the wet market is likely inaccurate, because it's based on check-in data and people don't check in to seafood markets. Most of those 1600 places aren't amenable to superspread. The 70 markets supposedly bigger than Huanan are irrelevant, because they're supermarkets, open air markets, etc. Huanan is the largest seafood market in central China, and a more likely place for the first cluster of cases to be noticed. Markets weren't a common spillover location in SARS1, so the zoonosis hypothesis hasn't "called" this event in a way that should give them a high Bayes factor. And there’s still plenty of evidence for isolated (though not super-spreading) pre-market cases. A British expatriate in Wuhan, Connor Reed, says he got sick in November, three weeks before the first wet market case. Later the hospital tested his samples and said it was COVID. Another paper reports 90 cases before the first wet market one. Peter: Connor Reed was lying. The case wasn’t reported in any peer-reviewed paper. It was reported in the tabloid The Daily Mail, months after it supposedly happened. He also told the Mail that his cat died of coronavirus too, which is rare-to-impossible. Also, to get a positive hospital test, he would have had to go to the hospital, but he was 25 years old and almost no 25-year-olds go to the hospital for coronavirus. His only evidence that it was COVID was that two months later, the hospital supposedly “notified” him that it was. The hospital never informed anyone else of this extremely surprising fact which would be the biggest scientific story of the year if true. So probably he was lying. Incidentally, he died of a drug overdose shortly after giving the Mail that story; while not all drug addicts are liars, given all the other implausibilities in his story, this certainly doesn’t make him seem more credible. And in any case, he claimed he got his case at a market “like in the media” The other 90 cases are also fake. A lab leak guy found a paper that mentioned 90 more cases than other papers, and made up a conspiracy theory where the author was trying to secretly communicate that there had been 90 secret cases before any of the confirmed cases, even though there was nothing about this in the text of the paper. But actually that paper just counted cases differently than other papers, and they were referring to normal cases after the pandemic officially started. Again, I’ll come back to the discussion about inference later, but for now, here’s a table of both sides’ reasoning. This exact presentation comparing both analyses is mine3, but you can see Saar’s version here, and Peter’s starting at 45:33 of this video. Slightly made up; the two sides didn’t express their probabilities in the same way and I had to make editorial decisions to match them. Note that these aren't entirely comparable because Peter is being laxer about out-of-model probability than Saar. Although Saar's final odds here are 533-to-1, this just the central estimate. Rootclaim’s real final probability is 94% lab leak. You can see their analysis here. And The Winner Is . . . … … … … … Peter and the zoonosis hypothesis. This was a decisive victory. There were two judges, who each gave separate verdicts (or were allowed to declare a draw). Both judges decided in favor of Peter. You can see the judges’ own summary of their reasoning here (Will, Eric) Manifold agreed with the judges. There was a prediction market on who would win. It started out 70-30 in favor of lab leak. As the videos came out, zoonosis started doing better and better. I don’t want to take the exact final numbers too seriously, since I think some of the later price increases involved hints from the participants’ behavior. But it’s clear which way viewers thought the wind was blowing4. Around the same time, the Good Judgment Project - Philip Tetlock’s group studying superforecasters - put out a report on the lab leak hypothesis. After studying it in depth, his forecasters ended up 75-25 in favor of zoonosis. The Rootclaim debate was one of ten sources they said they found especially interesting. And also around the same time, and unrelated to any of this, the Global Catastrophic Risks Institute surveyed experts (“168 virologists, infectious disease epidemiologists, and other scientists from 47 countries”) and found the same thing (though see here for some potential problems with the survey): For what it’s worth, I was close to 50-50 before the debate, and now I’m 90-10 in favor of zoonosis. III. The Math And The Aftermath The third debate session was about “inference”, how to put evidence together. I put this part off until after disclosing the winner, because I wanted to talk about some of these issues at more length. The Math: Judges Both judges included a probabilistic analysis in their written decision. Here’s the same table as above, expanded to add the judges: I shoehorned the judges’ factors into the categories I already had; some of them were actually subtly different from Peter’s, Saar’s, and each other’s. The “priors” category is especially a mess here. We’ll go over these later, but I get the impression that they both thought of probabilistic analyses as an afterthought. For example, Judge Eric wrote 30,000 words about which considerations moved him, and only then includes the analysis, saying: I am not convinced that this Bayesian calculation is even an appropriate way to estimate the relative posterior probability of Z and LL; it just seemed fair that after criticizing Rootclaim’s calculations at length I should make an attempt at it myself. Judge Will’s decision ran to 10,000 words. He said he independently tried both reasoning it out intuitively, and running the Bayesian analysis, and was relieved when these two methods returned the same result. He said: I am skeptical that the Bayesian decision making/evaluation methods are any more "objective" than [intuitive reasoning]. I think they maximize legibility, not objectivity, and tend to hide the intuitive/heuristic portion in the data inclusion step and values, where it’s harder to see . . . I am not skilled in the Bayesian method, and I am sure I made significant mistakes. More time and practice would improve and refine my estimates. At the fundamental rules of the universe level, Bayesian analysis must be the best way to evaluate evidence. However, I am unsure that it’s a good strategy for a human given our cognitive limitations, and doubly unsure it’s truly being used (in the dispassionate sense) where the outcome is social desirability/fame/Twitter likes. I’m focusing on this because Saar’s opinion is that the debate went wrong (for his side) because he didn’t realize the judges were going to use Bayesian math, they did the math wrong (because Saar hadn’t done enough work explaining how to do it right), and so they got the wrong answer. I want to discuss the math errors he thinks the judges made, but this discussion would be incomplete without mentioning that the judges themselves say the numbers were only a supplement for their intuitive reasoning. That having been said, let’s look deeper into some of Saar’s concerns. The Math: Extreme Odds Saar complained that Peter’s odds were too extreme. For example, Peter said there was only a 1/10,000 chance that a lab leak pandemic would first show up at a wet market. Peter’s argument went something like: obviously a zoonotic pandemic would start at a site selling weird animals. But a lab leak pandemic - if it didn’t start at the lab - could show up anywhere. 1/10,000 Wuhan citizens work at the wet market. So if a lab leak was going to show up somewhere random, the wet market was a 1/10,000 chance. Saar had specific arguments against this, but he also had a more general argument: you should rarely see odds like 1/10,000 outside of well-understood domains. In his blog post, he gave this example: A prosecutor shows the court a statistical analysis of which DNA markers matched the defendant and their prevalence, arriving at a 1E-9 probability they would all match a random person, implying a Bayes factor near 1E9 for guilty. But if we try to estimate p(DNA|~guilty) by truly assuming innocence, it is immediately evident how ridiculous it is to claim only 1 out of a billion innocent suspects will have a DNA match to the crime scene. There are obviously far better explanations like a lab mistake, framing, an object of the suspect being brought by someone to the scene, etc. So the real p(wet market|lab leak) isn’t the 1/10,000 chance a pandemic arising in a random place hits the wet market, but the (higher?) probability that there’s something wrong with Peter’s argument. Then Saar tried to show specific things that might be wrong with Peter’s argument. I didn’t find his specific examples convincing. But maybe the question shouldn’t be whether I agreed with him. It should be whether I’m so confident he’s wrong that I would give it 10,000-to-1 odds. This makes total sense, it’s absolutely true, and I want to be really, really careful with it. If you take this kind of reasoning too far, you can convince yourself that the sun won’t rise tomorrow morning. All you have to do is propose 100 different reasons the sunrise might not happen. For example: The sun might go nova.
Claim that he, Saar, through his years of experience testing Rootclaim, has some kind of special metis at using it, and everyone else is screwing up. Saar gestured at (2) in the debate, repeatedly emphasizing that Rootclaim was difficult and subtle. But he mostly talked about things like the Texas Sharpshooter Fallacy, which all participants already knew about and were trying to avoid. Maybe he should go further. This wouldn’t necessarily be special pleading. When psychoanalysts claim their therapies work, they don’t mean that someone who just read a two page “What Is Psychoanalysis?” pamphlet can do good therapy. They mean that someone who spent ten years training under someone who spent ten years training and so on in a lineage back to Freud can do good therapy. When scientists say the scientific method works, they don’t mean that any crackpot who reads an Intro To Science textbook can figure out the mysteries of the universe. They mean someone who’s trained under other scientists and absorbed their way of thinking can do it. If Saar wants to convince people, I think he should abandon his debates - which wouldn’t help even if he won, and certainly don’t help when he loses - and train five people who aren’t him in how to do Rootclaim, up to standards where he admits they’re as good at it as he is. Then he should prove that those five people can reliably get the same answers to difficult questions, even when they’re not allowed to compare notes beforehand. That would be compelling evidence!8 The Aftermath: Pseudoscience Suppose we accept the judges’ decision that COVID arose via zoonosis. Does that mean lab leak was a “conspiracy theory” and we should be embarrassed to have ever believed it? The term “conspiracy theory” is awkward here because there were definitely at least two conspiracies - one by China to hide the evidence, one by western virologists to convince everyone that lab leak was stupid and they shouldn’t think about it. Saar cited some leaked internal conversations among expert virologists. Back in the earliest stage of the pandemic, they said to each other that it seemed like COVID could have come from a lab leak - their specific odds were 50-50 - but that they should try to obfuscate this to prevent people from turning against them and their labs. So the best we can say here is that maybe the conspiracies got lucky on their 50-50 bet, and the thing they were trying to cover up wasn’t even true. Still, it’s awkward to use “conspiracy theory” as an insult when the conspiracies were real. Maybe a better question is whether lab leak is “pseudoscience”. The argument against: lots of smart people and experts believed it was a lab leak. There were all those virologists giving 50-50 odds in their internal conversations. Even Peter says he started out leaning lab leak, back in 2021 when everyone was talking about it. The argument in favor: since 2021, experts (and Peter) have shifted pretty far in favor of zoonosis. They’ve been convinced by new work - the identification of early cases, the wet market surveys, the genetic analysis. What category of noun does the adjective“pseudoscientific” describe? It doesn’t necessarily describe theories: Newtonian mechanics wasn’t pseudoscience when Newton discovered it, but if someone argued for it today (against relativity), that would be pseudoscientific. It doesn’t even describe arguments: “we don’t have enough data to confirm global warming” was a strong argument against global warming before there were good data, and a pseudoscientific one now. Might we place the locus of pseudoscientificness in people, communities, and norms of discussion? Peter’s position is that, although the lab leak theory is inherently plausible and didn’t start as pseudoscience, it gradually accreted a community around it with bad epistemic norms. Once lab leak became A Thing - after people became obsessed with getting one over on the experts - they developed dozens of further arguments which ranged from flawed to completely false. Peter spent most of the debate debunking these - Mr. Chen’s supposed 12/8 COVID case, Connor Reed’s supposed 11/25 COVID case, the rumors of WIV researchers falling sick, the 90 early cases supposedly “hidden” in a random paper, etc, etc, etc. Peter compares this to QAnon, where an early “seed” idea created an entire community of people riffing off of it to create more and more bad facts and arguments until they had constructed an entire alternative epistemic edifice. If we don’t accept the judges’ verdict, and think lab leak is true, are we worried the zoonosis side has some misbehavior of its own? Yuri and Saar didn’t talk about that as much. High-status people misbehave in different ways from low-status people; I think the zoonosis side has plenty of things to feel bad about (eg the conspiracies), but pseudoscience probably isn’t the right descriptor. The Aftermath: Ebb And Flow During the debate, Peter accused the lab leak side of being constantly left flat-footed by new evidence. Sure, it had seemed plausible back in 2020, but they’d had to scramble to explain a steady stream of pro-zoonosis papers. Afterwards, Saar and Yuri got some new evidence of their own. A Chinese team appeared to have found a T/T intermediate strain of COVID in Shanghai, possibly imported from very early in Wuhan. If true, it would provide new evidence against a double spillover, instead supporting Lineage A mutating into B in humans. (You can see Peter’s response here - basically that we’re not sure it’s a true intermediate and not a reversion - if it were true, how come the two strains on either side of it got millions of cases, and it just got one guy in Shanghai? But if it were true, it would still be compatible with zoonosis - Lineage A would have spread from an animal and quickly mutated into B, the first A case would have been someone who left the wet market for a nearby area, and the first B case would have been someone who stayed in the wet market.) Also, a new Freedom of Information Act request got early drafts of the DEFUSE grant proposal with new details, of which the most explosive was a comment by the American half of the team, reassuring the Chinese half that even though the proposal focused on American work to please funders, they would let the Chinese side do some “assays”. Lab leakers say this disproves the argument that, because DEFUSE said the work would be done in the US, the Wuhan Institute of Virology couldn’t/wouldn’t do advanced gain-of-function research. (I asked Peter his response - he said the original draft of DEFUSE also said that the Chinese side would do “live virus binding assays”, and this isn’t the kind of gain-of-function research necessary to make COVID.) In an email, Saar and Yuri suggested it was an “interesting coincidence” that all the new evidence that came out after the debate favored their side. I’ve decided against updating on these considerations - either Peter’s version or Saar/Yuri’s. My impression is that anyone who starts out believing something at time t will also believe all the new evidence after time t favors that thing. There’s also a pattern I want to discourage, where one side will come up with some new trivial finding, or re-dredge up and re-package something that everyone already everyone else had already considered, then release it as THE SMOKING GUN! Then they release another SMOKING GUN!, and another, and after five or six SMOKING GUNS, they say their opponents are stubborn and refuse to yield to evidence, since they’ve obstinately ignored every single SMOKING GUN! without changing their probability even a little bit. Overall I don’t think it’s useful to update on the exact contours of the ebb and flow of new evidence. Just treat new evidence the same as old evidence, updating your model the same amount as everything else. The Aftermath: Debate Some skeptic blogs picked up this story last month, and one of the points they made was that even if this one turned out well for their side, in general they’re against this kind of thing. Part of their argument was that debating “conspiracy theories” just helps spread and legitimize them. I’ve made fun of this position before, and I’ll make fun of it again now. According to polling, about 66% of Americans believe lab leak, compared to 16% who believe natural origin and 17% who aren’t sure. That means that people with an opinion on the issue are more than 4:1 in favor of lab leak. At some point you have to start debating! What are you waiting for? If you hold off so long that finally every single person in the world except you believes lab leak, would you still be sitting there, pristine in your imperturbability, saying from your lofty height “I refuse to engage, because that would be providing the rest of you oxygen”? The other part of the argument was that saying “I will debate all comers for an $X bet” is annoying, and we shouldn’t encourage that kind of thing. Certainly this technique has been used by bad actors - for example, the Holocaust denial group Institute For Historical Review offered a $50,000 prize to anyone who could prove the Holocaust happened (it was eventually won by an Auschwitz survivor whose “proof” was that he saw his family led to the gas chambers; IHR failed to accept this; the survivor sued and won). Likewise, anti-vaccine multimillionaire Steve Kirsch has offered to bet $500,000 on the results of a debate about vaccines not working9 (Saar took him up on it and they’re continuing to hammer out the specifics). I assume the concern is that (if the court system hadn’t stepped in), the Institute for Historical Review could have kept denying any evidence they were given, then kept taunting people with “We’ve offered $50,000 for proof that the Holocaust happened, nobody has ever won our money, so the proof must not exist”. Or Kirsch could keep saying “Nobody will bet me $500,000 on vaccines, guess they’re scared and think they don’t have evidence” (when in fact it’s just that most people don’t have the time, courage, and risk tolerance to do this, especially when there’s no guarantee the right person will win the debate). In order to deny these people this weapon (the argument goes) we need to make it common knowledge that this strategy isn’t legitimate. And taking people up on their offer, having a great debate that leaves everybody more enlightened and serves as a model for rational discourse, then having the right side win in the end - seems like the opposite of delegitimizing this strategy. I guess I classify this with all the other examples in Less Utilitarian Than Thou. Cool Machiavellian plot you have there, but maybe the fact that you’re losing 16%-66% should make you question whether you’re really as smart as you think you are, and whether your plan to suppress all discussion for the greater good is really the mastermind-level strategy you hoped it would be. It’s good to assert the true fact that these kinds of challenges are often dumb/rigged/useless, and that “nobody has yet responded to my challenge” isn’t a valid argument that someone’s necessarily right. But I stop short of trying to set some kind of social norm that nobody may respond to anyone else’s challenges, even if they think that person is being honest and has organized the challenge well (as Saar was and did). That almost seems like itself legitimizing the whole thing, in the sense of accepting that if someone loses a challenge then it means something important. I would rather place the illegitimacy where it belongs (a challenge really doesn’t prove anything, separate from the arguments made in it) and let people do what they want. I want to see more debates like this. I learned more watching the 15 hours of Rootclaim debate than I think I would have researching on my own for 15 hours. But a lot of things had to come together to make this work. Most of all, this debate worked out because the judges were two very smart scientists with relevant expertise. To get such good judges, lots of things had to fall into place. First, the debate itself had to be expensive enough that neither side begrudged paying the extra $5,000 per judge to hire the best people. And second, the debate had to be about a topic where lots of intelligent people haven’t yet made up their minds. If the debate was about flat earth, I would despair of finding good judges. Either the judges would already be convinced the Earth was round (which the flat Earth side would understandably refuse to accept). Or they would be 50-50, which would mean they were extremely weird people whose reasoning couldn’t be trusted. Flat Earth is an extreme example, but even a debate about COVID vaccines would be pushing it here. (since writing this, I learned Peter had made this same argument and analogy in a blog post on Kirsch; sorry for the unintentional plagiarism) I think I would genuinely update on the conclusion of any other Rootclaim debate with the same caliber of participants as this one, but not necessarily on whatever Steve Kirsch or the Institute of Historical Review comes up with, nor the next person to hit on the strategy of “I’ll pay you $100,000 if you prove me wrong!”10 The Aftermath: Conclusion This was one of my favorite topics to write about this year, for a few reasons. First, on the object level, I learned a lot about the origins of COVID, which is a great story. I feel like I know much more now about this disease that came out of nowhere and ruined all of our lives for a few years. It’s a weird rabbit hole, which I’m not yet entirely out of. I have a weird urge to visit Wuhan as a tourist, see the Wuhan Institute of Virology, stroll through the Huanan Central Seafood Market (unfortunately closed), maybe eat a raccoon-dog. Second, some of the lessons of this debate are actionable. I’ve written before about how we should learn the lessons of lab leak even if it turns out to be false this time; that hasn’t changed. But this was a good reminder to also learn the lessons of zoonosis, for the same reason. We need more attention on closing wet markets and tracking weird Chinese wildlife. The DEFUSE proposal wanted to immunize bats - is this still a worthwhile idea? The virologists got a bad rap for wanting to gain-of-function exactly the pathogen that caused the century’s worst pandemic, but in a way that speaks well of them - they clearly knew what to be worried about. Has anyone mumbled an apology and asked them if they have any other useful predictions? Third, John Nerst has written about erisology, the study of disagreements. This was surely one of history’s greatest erisological studies. Two very smart people spent fifteen hours hashing out every argument and counterargument in good faith, then quantified all of their beliefs in a way that lets us figure out exactly where they differed and by how much. This isn’t entirely a victory - as a newly minted member of team zoonosis, I still can’t trace exactly why Saar is so sure I’m wrong. But if the COVID origin story fascinates me as this peek deep into a pestiferous underworld of sinister laboratories and reeking wet markets, something about this debate felt like analogous peek into the creepy subconscious swamps where disagreements begin. Fourth, for the first time it made me see the coronavirus as one of God’s biggest and funniest jokes. Think about it. Either a zoonotic virus crossed over to humans fifteen miles from the biggest coronavirus laboratory in the Eastern Hemisphere. Or a lab leak virus first rose to public attention right near a raccoon-dog stall in a wet market. Either way is one of the century’s biggest coincidences, designed by some cosmic joker who wanted to keep the debate acrimonious for years to come. But fifth, if the coronavirus’ story is a comedy, all of this - Rootclaim, the debate, the $100K - is a tragedy. Saar got $100 million, decided to devote a big part of his life to improving human reasoning, and came up with a really elegant system. He was so confident in his system, and in the power of open discussion, that he risked his money and reputation on an accept-all-comers debate offer . Then some rando who nobody had ever heard of accepted the challenge, turned out to be some kind of weird debate savant, and won, turning what should have been Rootclaim’s moment of triumph into a bitter defeat. Totally new kind of human suffering, worthy of Shakespeare. I look forward to the movie, especially seeing who plays the dashing young blogger who helped the participants meet. Other Resources Daniel Filan’s running Twitter commentary of the debate
The other part of the argument was that saying “I will debate all comers for an $X bet” is annoying, and we shouldn’t encourage that kind of thing. Certainly this technique has been used by bad actors - for example, the Holocaust denial group Institute For Historical Review offered a $50,000 prize to anyone who could prove the Holocaust happened (it was eventually won by an Auschwitz survivor whose “proof” was that he saw his family led to the gas chambers; IHR failed to accept this; the survivor sued and won). Likewise, anti-vaccine multimillionaire Steve Kirsch has offered to bet $500,000 on the results of a debate about vaccines not working9 (Saar took him up on it and they’re continuing to hammer out the specifics). I assume the concern is that (if the court system hadn’t stepped in), the Institute for Historical Review could have kept denying any evidence they were given, then kept taunting people with “We’ve offered $50,000 for proof that the Holocaust happened, nobody has ever won our money, so the proof must not exist”. Or Kirsch could keep saying “Nobody will bet me $500,000 on vaccines, guess they’re scared and think they don’t have evidence” (when in fact it’s just that most people don’t have the time, courage, and risk tolerance to do this, especially when there’s no guarantee the right person will win the debate). In order to deny these people this weapon (the argument goes) we need to make it common knowledge that this strategy isn’t legitimate. And taking people up on their offer, having a great debate that leaves everybody more enlightened and serves as a model for rational discourse, then having the right side win in the end - seems like the opposite of delegitimizing this strategy. I guess I classify this with all the other examples in Less Utilitarian Than Thou. Cool Machiavellian plot you have there, but maybe the fact that you’re losing 16%-66% should make you question whether you’re really as smart as you think you are, and whether your plan to suppress all discussion for the greater good is really the mastermind-level strategy you hoped it would be. It’s good to assert the true fact that these kinds of challenges are often dumb/rigged/useless, and that “nobody has yet responded to my challenge” isn’t a valid argument that someone’s necessarily right. But I stop short of trying to set some kind of social norm that nobody may respond to anyone else’s challenges, even if they think that person is being honest and has organized the challenge well (as Saar was and did). That almost seems like itself legitimizing the whole thing, in the sense of accepting that if someone loses a challenge then it means something important. I would rather place the illegitimacy where it belongs (a challenge really doesn’t prove anything, separate from the arguments made in it) and let people do what they want. I want to see more debates like this. I learned more watching the 15 hours of Rootclaim debate than I think I would have researching on my own for 15 hours. But a lot of things had to come together to make this work. Most of all, this debate worked out because the judges were two very smart scientists with relevant expertise. To get such good judges, lots of things had to fall into place. First, the debate itself had to be expensive enough that neither side begrudged paying the extra $5,000 per judge to hire the best people. And second, the debate had to be about a topic where lots of intelligent people haven’t yet made up their minds. If the debate was about flat earth, I would despair of finding good judges. Either the judges would already be convinced the Earth was round (which the flat Earth side would understandably refuse to accept). Or they would be 50-50, which would mean they were extremely weird people whose reasoning couldn’t be trusted. Flat Earth is an extreme example, but even a debate about COVID vaccines would be pushing it here. (since writing this, I learned Peter had made this same argument and analogy in a blog post on Kirsch; sorry for the unintentional plagiarism) I think I would genuinely update on the conclusion of any other Rootclaim debate with the same caliber of participants as this one, but not necessarily on whatever Steve Kirsch or the Institute of Historical Review comes up with, nor the next person to hit on the strategy of “I’ll pay you $100,000 if you prove me wrong!”10 The Aftermath: Conclusion This was one of my favorite topics to write about this year, for a few reasons. First, on the object level, I learned a lot about the origins of COVID, which is a great story. I feel like I know much more now about this disease that came out of nowhere and ruined all of our lives for a few years. It’s a weird rabbit hole, which I’m not yet entirely out of. I have a weird urge to visit Wuhan as a tourist, see the Wuhan Institute of Virology, stroll through the Huanan Central Seafood Market (unfortunately closed), maybe eat a raccoon-dog. Second, some of the lessons of this debate are actionable. I’ve written before about how we should learn the lessons of lab leak even if it turns out to be false this time; that hasn’t changed. But this was a good reminder to also learn the lessons of zoonosis, for the same reason. We need more attention on closing wet markets and tracking weird Chinese wildlife. The DEFUSE proposal wanted to immunize bats - is this still a worthwhile idea? The virologists got a bad rap for wanting to gain-of-function exactly the pathogen that caused the century’s worst pandemic, but in a way that speaks well of them - they clearly knew what to be worried about. Has anyone mumbled an apology and asked them if they have any other useful predictions? Third, John Nerst has written about erisology, the study of disagreements. This was surely one of history’s greatest erisological studies. Two very smart people spent fifteen hours hashing out every argument and counterargument in good faith, then quantified all of their beliefs in a way that lets us figure out exactly where they differed and by how much. This isn’t entirely a victory - as a newly minted member of team zoonosis, I still can’t trace exactly why Saar is so sure I’m wrong. But if the COVID origin story fascinates me as this peek deep into a pestiferous underworld of sinister laboratories and reeking wet markets, something about this debate felt like analogous peek into the creepy subconscious swamps where disagreements begin. Fourth, for the first time it made me see the coronavirus as one of God’s biggest and funniest jokes. Think about it. Either a zoonotic virus crossed over to humans fifteen miles from the biggest coronavirus laboratory in the Eastern Hemisphere. Or a lab leak virus first rose to public attention right near a raccoon-dog stall in a wet market. Either way is one of the century’s biggest coincidences, designed by some cosmic joker who wanted to keep the debate acrimonious for years to come. But fifth, if the coronavirus’ story is a comedy, all of this - Rootclaim, the debate, the $100K - is a tragedy. Saar got $100 million, decided to devote a big part of his life to improving human reasoning, and came up with a really elegant system. He was so confident in his system, and in the power of open discussion, that he risked his money and reputation on an accept-all-comers debate offer . Then some rando who nobody had ever heard of accepted the challenge, turned out to be some kind of weird debate savant, and won, turning what should have been Rootclaim’s moment of triumph into a bitter defeat. Totally new kind of human suffering, worthy of Shakespeare. I look forward to the movie, especially seeing who plays the dashing young blogger who helped the participants meet. Other Resources Daniel Filan’s running Twitter commentary of the debate
Delhi ACX Meetup

Delhi ACX Meetup is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 10, 2023 and April 10, 2023. The archive places it in contexts such as "Event Link: https://www.lesswrong.com/events/38trvhGajHKCJLGsM/acx-meetup-in-delhi-1". It most often appears alongside 100 Alexander St, 10004 Jasper Ave, Edmonton, AB T5J 1R3, 11841 Wagner St, Culver City, CA.

Reference entry
Delhi ACX Meetup
Mention count
1
Issue count
1
First seen
April 10, 2023
Last seen
April 10, 2023
April 10, 2023 · Original source
...[dot]com Time: Sunday, May 21st, 04:30 PM Location: Altogether Experimental, Saket. https://maps.app.goo.gl/bauZmakWdTQ6QLwB7 Coordinates: https://plus.codes/7JWVG59X+75 Event Link: https://www.lesswrong.com/events/38trvhGajHKCJLGsM/acx-meetup-in-delhi-1 Notes: Please join the WhatsApp group using this link: https://chat.whatsapp.com/Jph8xQOprnK1mA7DBKkWOS KUALA LUMPUR, MALAYSIA Contact: Yi-Yang Contact Info: yi[dot]yang...
DEMO

DEMO is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 17, 2022 and June 17, 2022. The archive places it in contexts such as "ITER will be followed by a demonstration power plant, named DEMO [15]". It most often appears alongside Alcator C-Mod, Apollo Program, ARC.

Reference entry
DEMO
Mention count
1
Issue count
1
First seen
June 17, 2022
Last seen
June 17, 2022
June 17, 2022 · Original source
Figure 9: There are three people in this diagram. Can you find them? ITER is designed to get Q=10. Despite getting 10 times as much energy from fusion as we put into the plasma, ITER is not designed to get engineering breakeven. ITER is designed as an experiment, not as a power plant. There will be tons of measuring devices pointed inwards. There are four different ways to heat the plasma and drive the current. This all allows you to learn more, but it requires extra power and lowers the overall plant efficiency. ITER will be followed by a demonstration power plant, named DEMO [15]. A fully optimized power plant should be able to reach engineering breakeven as long as Q>5. This is why I chose Q=5 as my criterion for ‘getting fusion’. ITER is also testing multiple designs for the tritium breeding blanket. Tritium is expensive and radioactive, so you want to produce it on site. The D-T fusion reaction produces a neutron, which we want to absorb, so we can use it to produce tritium. ‘Breeding' is when we use a neutron to produce a more useful isotope. It is a ‘blanket' because it surrounds the entire plasma, keeping the neutrons from going anywhere else. The best reaction to produce tritium involves lithium-6: 36Li +01n 24He +13T . This reaction also releases energy, which increases the power produced by about 25%. The tritium breeding blanket needs to make this reaction occur as much as possible, to efficiently carry the heat away so it can be used to generate electricity, and to provide a way to extract the tritium produced. ITER is scheduled to begin their first experiments in 2025. Part of why I think that we are about to make rapid progress again is because we are finally getting a large experiment. There have been problems with ITER staying on schedule and under budget. This isn't surprising for a collaboration between governments representing over half the world's population. In 2014, ITER got a new director, recalculated its expected cost, and underwent a major restructuring. Since then, ITER has largely stuck to this schedule and budget. Recently, there has been a 6 month delay because the French nuclear agency did what nuclear regulatory agencies do best, but this has been the longest delay since 2014. It is still possible for ITER to fail. The biggest risk involves disruptions. Sometimes, the plasma in a tokamak becomes unstable and all of the plasma hits the wall at once. This could melt some extremely expensive equipment and take years to repair. If ITER cannot get disruptions under control, then it would be a failed experiment. This is especially challenging because pushing for higher Q makes disruptions more likely. ITER is planning on being extremely cautious: Experiments begin in 2025, but it won't operate at full capacity until 2035. ITER has been the focus of the fusion community now for decades. The Future of Fusion Energy similarly makes ITER the centerpiece of the book. Things. Have. Changed. ITER by itself is not enough to justify the high level of confidence I express at the start. When Parisi & Ball finished writing this book in April 2018, ITER was basically the only game in town. Since then, Things. Have. Changed. Historically, private fusion companies were almost entirely jokes or frauds. They make outlandish claims, use completely different designs so they can't build on the progress of Figure 3, and they can be safely ignored. For example, Lockheed Martin [16] claims that it will take them five years to build a prototype of a fusion power plant that will fit in a truck. They have yet to publish evidence that they have produced a fully ionized plasma. Maybe they're just being secretive, but their design has solid components in the plasma. That won't work. A new generation of private companies have surged into fusion. Leading the charge is Commonwealth Fusion Systems and their tokamak SPARC [17]. Recent advances in high temperature superconductors have been a game changer. They can produce a much stronger magnetic field which allows for better confinement in a smaller experiment. We should now be able to get Q=10 in a medium experiment, which costs ten times less than ITER [18] and is within the reach of private venture capital. Figure 10: Finding the person here is much easier. When the Department of Energy decided to close the third largest plasma experiment in the US, the MIT group which ran it found itself adrift. They founded Commonwealth Fusion Systems in 2018 with a goal of getting fusion within 10 years [19]. Since then, they have built the first ever high temperature superconducting coil in 2019, released their engineering plans for SPARC in 2020, began construction in 2021, and plan on finishing construction in 2025. Commonwealth Fusion had just been founded when Parisi & Ball wrote in 2018. Now they're leading the race to fusion. Several other startups are following SPARC's strategy of using stronger magnetic fields to get fusion in a smaller experiment. They use a variety of designs. Alternative Designs To understand how the alternative designs are different, we need to make sure we understand the basic strategy for getting fusion in a tokamak. Let's run through it again: (A) We want to get lots of fusion reactions … … so we want a large triple product (density * temperature * confinement time). (B) The fusion plasma is too hot to touch solid objects … … so we put it in a magnetic bottle shaped like a doughnut. (C) The particles drift outwards, leaving the bottle … … so we twist the magnetic field with a current in the plasma. I will start with the alternatives that are most similar to a tokamak. For each one, I will list the best experiments that currently exist, where they're located, and the year they began operation. Tokamaks have been better researched than any other strategy. There are currently 10 medium tokamaks: T-10 (Russia, 1975)
ITER gets fusion by 2035 (50%) or 2040 (70%). K-DEMO Most of the countries in ITER plan on making their own large demonstration power plant, after they see if ITER succeeds. South Korea is being more aggressive and will build their DEMO while ITER is still doing its early experiments. The construction should be complete by 2037. Success here is highly correlated with ITER's success. K-DEMO gets fusion by 2040 (70%).
K-DEMO gets fusion by 2040 (70%).
Democratic convention

Democratic convention is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 20, 2021 and May 20, 2021. The archive places it in contexts such as "her actions at the Democratic convention". It most often appears alongside 5D Chess With Multiverse Time Travel, AI X-Risk Research Podcast, Alignment Research Center.

Reference entry
Democratic convention
Mention count
1
Issue count
1
First seen
May 20, 2021
Last seen
May 20, 2021
May 20, 2021 · Original source
19: In response to a question about hype in media, AOC gives a pretty scary story about how NBC deliberately misinterpreted her actions at the Democratic convention.
Democratic National Convention

Democratic National Convention is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 30, 2024 and October 30, 2024. The archive places it in contexts such as "Last month, after the Democratic National Convention, Trump reposted artificial intelligence-generated images"; "after the Democratic National Convention". It most often appears alongside 1984, Abandon Harris, Acemoglu.

Mention count
1
Issue count
1
First seen
October 30, 2024
Last seen
October 30, 2024
October 30, 2024 · Original source
Last month, after the Democratic National Convention, Trump reposted artificial intelligence-generated images of his enemies — including Joe Biden, Kamala Harris, Nancy Pelosi, Anthony Fauci and Bill Gates — in orange jumpsuits with the caption: “HOW TO ACTUALLY ‘FIX THE SYSTEM.’”
Democratic primaries

Democratic primaries is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 05, 2023 and September 05, 2023. The archive places it in contexts such as "throwing my hat into both the Democratic and Republican primaries". It most often appears alongside America, ASVAB, Athens.

Reference entry
Democratic primaries
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1
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1
First seen
September 05, 2023
Last seen
September 05, 2023
September 05, 2023 · Original source
The American people deserve a choice. They deserve a candidate who will reject the failed policies of the past and embrace the failed policies of the future. It is my honor to announce I am throwing my hat into both the Democratic and Republican primaries (to double my chances), with the following platform:
Democratic primary

Democratic primary is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 05, 2024 and March 05, 2024. The archive places it in contexts such as "leading candidate in the Democratic primary". It most often appears alongside @wc1766, Adam, Adam Unikowsky.

Reference entry
Democratic primary
Mention count
1
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1
First seen
March 05, 2024
Last seen
March 05, 2024
March 05, 2024 · Original source
Here’s how it goes: in January 2023, I asked people to predict fifty questions about the upcoming year, like “Will Joe Biden be the leading candidate in the Democratic primary?” in the form of a probability (eg “90% chance”). About 3300 of you kindly took me up on that (“Blind Mode”).
Democrats’ omnibus social programs bill

Democrats’ omnibus social programs bill is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 01, 2021 and November 01, 2021. The archive places it in contexts such as "how much money will be in the Democrats’ omnibus social programs bill when progressives and Manchin/Sinema finally come to an agreement". It most often appears alongside 538, Andrew Critch, Astralcodexten Com.

Mention count
1
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1
First seen
November 01, 2021
Last seen
November 01, 2021
  • 21 November 01, 2021
November 01, 2021 · Original source
The markets have been working on how much money will be in the Democrats’ omnibus social programs bill when progressives and Manchin/Sinema finally come to an agreement.
Demonstration of 20 June 1792

Demonstration of 20 June 1792 is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 04, 2021 and October 04, 2021. The archive places it in contexts such as "reclaimed by these men around the time of the Demonstration of 20 June 1792". It most often appears alongside 19th century African art, 20th century, 9-11.

Mention count
1
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1
First seen
October 04, 2021
Last seen
October 04, 2021
October 04, 2021 · Original source
During the French Revolution, wearing dress associated with the royalist Ancien Régime made the wearer a target for the Jacobins. Working class men of the era, many of whom were revolutionaries, came to be known as sans-culottes because they could not afford silk breeches and wore less expensive pantaloons instead. The term was first used as an insult by French officer Jean-Bernard Gauthier de Murnan but was reclaimed by these men around the time of the Demonstration of 20 June 1792.
Dia de la Raza

Dia de la Raza is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 10, 2022 and October 10, 2022. The archive places it in contexts such as "in most of Latin America it's Dia de la Raza". It most often appears alongside 9-11, Adraste, America.

Reference entry
Dia de la Raza
Mention count
1
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1
First seen
October 10, 2022
Last seen
October 10, 2022
October 10, 2022 · Original source
Many countries have some kind of holiday on October 12 but the US is the only one to call it "Columbus Day" in most of Latin America it's Dia de la Raza, celebrating the undeniable fact that Hispanics literally would not exist if not for October 12, 1492
DIAN‑TU Amyloid Removal Trial (ART)

DIAN‑TU Amyloid Removal Trial (ART) is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 14, 2025 and August 14, 2025. The archive places it in contexts such as ""DIAN‑TU Amyloid Removal Trial (ART): A Phase IIIb/IV Open‑Label Study of Lecanemab in Dominantly Inherited Alzheimer’s Disease"". It most often appears alongside A. Bejanin, A. de Calignon, A. Elobeid.

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1
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1
First seen
August 14, 2025
Last seen
August 14, 2025
August 14, 2025 · Original source
[114] ClinicalTrials.gov, “DIAN‑TU Amyloid Removal Trial (ART): A Phase IIIb/IV Open‑Label Study of Lecanemab in Dominantly Inherited Alzheimer’s Disease.” ClinicalTrials.gov, NCT06384573, Jun. 10, 2024. Accessed: Jul. 24, 2025. [Online]. Available: https://clinicaltrials.gov/study/NCT06384573
DIII-D

DIII-D is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 17, 2022 and June 17, 2022. The archive places it in contexts such as "DIII-D (USA, 1986)". It most often appears alongside Alcator C-Mod, Apollo Program, ARC.

Reference entry
DIII-D
Mention count
1
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1
First seen
June 17, 2022
Last seen
June 17, 2022
June 17, 2022 · Original source
DIII-D (USA, 1986)
[22]: The largest tokamak currently operating in the US, DIII-D, is also managed by a private company, General Atomics, which gets most of its funding from the Department of Energy.
diocesan inquiry

diocesan inquiry is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 01, 2025 and October 01, 2025. The archive places it in contexts such as "There are many statements in the diocesan inquiry which I was unable to get". It most often appears alongside 1910s Portugal, 1999 British eclipse, 2017 US eclipse.

Reference entry
diocesan inquiry
Mention count
1
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1
First seen
October 01, 2025
Last seen
October 01, 2025
October 01, 2025 · Original source
There are many statements in the diocesan inquiry which I was unable to get, because they were in Portuguese (and on paper, and therefore not machine-translatable). The diocesan inquiry was the investigation that put the most effort into digging up negative witnesses, so more might be buried in there. But several of the Fatima writers whose work I have been most impressed with, including Fr. Stanley Jaki, have read the full diocesan inquiry, and none report some crazy disproportion of negative witnesses that completely contradicts all of the other sources.
Director General Award

Director General Award is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 07, 2023 and February 07, 2023. The archive places it in contexts such as "received honorary degrees, the WHO’s Director General Award". It most often appears alongside Africa, Atlanta, Chernobyl.

Reference entry
Director General Award
Mention count
1
Issue count
1
First seen
February 07, 2023
Last seen
February 07, 2023
February 07, 2023 · Original source
Well, her life and legacy are now successfully being acknowledged and celebrated. Congress passed a resolution honoring Lacks in 1997. She has received honorary degrees, the WHO’s Director General Award, and membership in the National Women’s Hall Of Fame. Atlanta declared October 11 “Henrietta Lacks Day”. There is a high school named after her in Washington, a plaza named after her in Virginia, and an asteroid named after her somewhere between Mars and Jupiter. In 2014, at the 9th annual Henrietta Lacks Memorial Lecture, the dean of Johns Hopkins announced the college’s new research building would be named after Lacks, saying:
Disrupting The Status Quo: Addressing Racism In Medical Education And Residency Training

Disrupting The Status Quo: Addressing Racism In Medical Education And Residency Training is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 20, 2022 and July 20, 2022. The archive places it in contexts such as "Here is a small fraction of the seminars on offer: Disrupting The Status Quo: Addressing Racism In Medical Education And Residency Training". It most often appears alongside #MeToo Movement, American Psychiatric Association, Anand Giridharadas.

Mention count
1
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1
First seen
July 20, 2022
Last seen
July 20, 2022
July 20, 2022 · Original source
Disrupting The Status Quo: Addressing Racism In Medical Education And Residency Training
Dobbs

Dobbs is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 19, 2023 and January 19, 2023. The archive places it in contexts such as "post- Dobbs debate on abortion". It most often appears alongside Obamacare, Obergefell, Ohio.

Reference entry
Dobbs
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1
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1
First seen
January 19, 2023
Last seen
January 19, 2023
January 19, 2023 · Original source
Maybe it has to do with how quickly people can find a case of the new law going wrong? My impression of the post-Dobbs debate on abortion was that it centered on an incredibly sympathetic 10-year-old rape victim from Ohio who really needed an abortion but was having trouble getting one - a few stories like that can probably move opinion a lot. In contrast, even if Obamacare causes budget deficits or whatever, it’s harder to find a specific victim. This doesn’t quite fit the free trade vs. protectionism example though, although it fits some other Trump issues like deportation.
Dobbs v. Jackson Women’s Health

Dobbs v. Jackson Women’s Health is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 27, 2024 and June 27, 2024. The archive places it in contexts such as "the biggest political story of the past four years was Dobbs. v. Jackson Women’s Health, which overturned Roe v. Wade". It most often appears alongside 2016, 2020, 2023.

Mention count
1
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1
First seen
June 27, 2024
Last seen
June 27, 2024
June 27, 2024 · Original source
...Trump. This debate will be broadcast live to select viewers, and I’ll also post a transcript on my blog. Let’s start with a question for President Biden. Mr. President, the biggest political story of the past four years was Dobbs. v. Jackson Women’s Health, which overturned Roe v. Wade and gave final decision-making power on abortion back to the states. How would a second Biden administration treat this issue? Do you think states should be setting poli...
Doctors’ Riot

Doctors’ Riot is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 01, 2023 and December 01, 2023. The archive places it in contexts such as "The resulting outrage spurred the Doctors’ Riot , which left 6 - 20 people dead". It most often appears alongside Abraham Davenport, AI Policy Institute, Arizona.

Reference entry
Doctors’ Riot
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1
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1
First seen
December 01, 2023
Last seen
December 01, 2023
December 01, 2023 · Original source
39: In 1788, word spread that doctors were illegally exhuming and dissecting corpses. The resulting outrage spurred the Doctors’ Riot, which left 6 - 20 people dead and “the few physicians remaining in New York City . . . forced into hiding”.
DoD Directive 3000.09

DoD Directive 3000.09 is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 01, 2026 and March 01, 2026. The archive places it in contexts such as "in particular DoD Directive 3000.09". It most often appears alongside ACX, AI, al-Qaeda.

Reference entry
DoD Directive 3000.09
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1
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1
First seen
March 01, 2026
Last seen
March 01, 2026
March 01, 2026 · Original source
There is hard Congressional law regulating the use of armed force in general (for example, you’re not allowed to shoot innocent Americans.) But to our knowledge, autonomous weapons in particular are only regulated by Department of War policy - in particular DoD Directive 3000.09. These policies don’t impose meaningful constraints, for two reasons.
OpenAI suggests they’re protected against this since their agreement specifically refers to “DoD Directive 3000.09 (dated 25 January 2023)”. But other parts of the contract refers to “all lawful purposes” without specifying current law in particular, which would at-best lead to contradictions if the law changes. More on this below.
Durham SCO’s investigation

Durham SCO’s investigation is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 29, 2022 and September 29, 2022. The archive places it in contexts such as "Durham SCO’s investigation **that began in APRIL OF 2017**". It most often appears alongside 1 Kings 10-11, 2008 Democratic National Convention, Adam Scheffer.

Mention count
1
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1
First seen
September 29, 2022
Last seen
September 29, 2022
September 29, 2022 · Original source
My brother Brian Cates is THE Go To Guy for all things (Open Sourced) on the Durham SCO’s investigation **that began in APRIL OF 2017**
Dutch election

Dutch election is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 29, 2021 and March 29, 2021. The archive places it in contexts such as "political polarization (or lack thereof) in the most recent Dutch election". It most often appears alongside Antifragile, Europe, Guy Beaujouan.

Reference entry
Dutch election
Mention count
1
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1
First seen
March 29, 2021
Last seen
March 29, 2021
March 29, 2021 · Original source
1: Comment of the week is Vosmyorka describing political polarization (or lack thereof) in the most recent Dutch election.
Dynamic Spanish

Dynamic Spanish is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 10, 2022 and February 10, 2022. The archive places it in contexts such as "prototype Oculus Quest app called Dynamic Spanish". It most often appears alongside 2018, @BendiniUK, @benyeohben.

Reference entry
Dynamic Spanish
Mention count
1
Issue count
1
First seen
February 10, 2022
Last seen
February 10, 2022
February 10, 2022 · Original source
#71: Oculus App For Language Learning We have a prototype Oculus Quest app called Dynamic Spanish, available here: https://www.oculus.com/experiences/quest/4231524270226603/ The co-founders are a husband-wife team from the UK. Dave is a chartered chemical engineer by trade, and is the camera operator, post-production lead, and general techie. Katie studied languages at university, has worked as a language teacher for many years, and is responsible for managing syllabus creation with language-specific experts. The next few years will be spent filming the classroom scenes for more languages (in London), before travelling to film native speakers in interactive scenarios around the world, and capturing the sights and sounds of the countries for students to virtually explore in narrated guided Trips. We are creating courses that can be completed over a few months, giving learners the confidence to speak their new language in real life, and connect more deeply with the cultures that speak it. We hope this project is appealing to a generous do-gooder, who is excited by the prospect of helping to build a positive vision of accessible education.
Dystopian Fact Checks

Dystopian Fact Checks is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 10, 2023 and March 10, 2023. The archive places it in contexts such as "their Dystopian Fact Checks series, where various public intellectuals including Steven Pinker, Robin Hanson, Robert Sapolsky, Coleman Hughes, etc will debate each other on Zoom". It most often appears alongside Alex, Alex Nowratesh, Aphantasia.

Reference entry
Dystopian Fact Checks
Mention count
1
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1
First seen
March 10, 2023
Last seen
March 10, 2023
March 10, 2023 · Original source
17: Public Intellectuals For Charity wants me to advertise their Dystopian Fact Checks series, where various public intellectuals including Steven Pinker, Robin Hanson, Robert Sapolsky, Coleman Hughes, etc will debate each other on Zoom to raise money for charity. See here for details.