Chess
Article
Chess is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between August 06, 2021 and June 27, 2025. The archive places it in contexts such as “Non-self-aware computers can beat humans at Chess”; “Can the learning algorithm learn to play chess? Yes, extremely well”; “AIs have to play zillions of games of chess to get good”. It most often appears alongside Erik Hoel, Go, OpenAI.
Metadata
- Category: Concepts
- Mention count: 3
- Issue count: 3
- First seen: August 06, 2021
- Last seen: June 27, 2025
Appears In
- Highlights From The Comments On Acemoglu And AI
- Contra Hoel On Aristocratic Tutoring
- Your Review: Alpha School
Related Pages
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- Erik Hoel (2 shared issues)
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- Go (2 shared issues)
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- OpenAI (2 shared issues)
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- Scott (2 shared issues)
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- Why We Stopped Making Einsteins (2 shared issues)
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- 10,000 hour rule (1 shared issues)
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- 2 Hour Learning, Inc (1 shared issues)
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- 2-hour Learning (1 shared issues)
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- 60s and 70s (1 shared issues)
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- AGI (1 shared issues)
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- AI (1 shared issues)
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- AI Impacts (1 shared issues)
External Links
Source Context
Recovered passages from the original issue text. When the raw archive preserved outbound links inside the source passage, they are listed directly under the quote.
But also, who cares? Non-self-aware computers can beat humans at Chess, Go, and Starcraft. They can write decent essays and paint good art. Whatever you’re expecting you “need self-awareness” in order to do, I bet non-self-aware computers can do it too. Computers are just going to get better and better at stuff, and at some point probably they’ll be as good as humans at various things, and if you ask them if they’re self-aware they’ll give some answer consistent with their programming, which for all I know is what we do too.
The AI started out as a learning algorithm, but ended up as a Go-playing algorithm (I’m told it’s more complicated than this, sorry). When people talk about “stupid algorithms” or “narrow algorithms”, I think they’re thinking of Go-playing algorithms. Certainly when we discuss “algorithmic bias” in parole or something, we’re talking about some algorithm that gets used as a strategy for deciding who gets parole. In the extreme case, this might just be a simple linear model or something. Maybe it’s c^2 + 2a + 99999b, where c is the heinousness of the crime on a scale of 1-10, a is the offender’s age, and b is whether they’re black or not. Obviously this algorithm is “stupid” and “narrow”, in the sense that you can’t make it play chess - it’s not even that it would be bad at chess, it’s that asking it to play chess doesn’t even make sense. I think this is part of what people mean when they say “an algorithm is just narrow, so it would have to become self-aware in order to do anything”. Obviously your polynomial for deciding parole isn’t going to become superintelligent one day.
But can the learning algorithm learn to play chess? Yes, extremely well. DeepMind got their Go AI AlphaZero to try learning chess, and it became world champion within a day. Then they asked it to learn a different game called shogi, and it became world champion of that one too. Could AlphaZero learn how to invent new rockets? No, because that’s not the class of problems it knows how to learn about (it’s not a board game where it can play against itself a bunch of times and observe its mistakes). So is the learning algorithm a narrow AI or a general AI? It’s not infinitely narrow - it can learn any board game you throw at it - but it’s not infinitely general either. Certainly it’s more general, smarter, and at least slightly scarier than a polynomial that predicts parole decisions.
He argues the most likely cause is the decline of “aristocratic tutoring” - an educational method typical among the ultra-rich of the past - and its replacement with normal public (or private) schools. The answer must lie in education somewhere [...] paradoxically there exists an agreed-upon and specific answer to the single best way to educate children, a way that has clear, obvious, and strong effects. The problem is that this answer is unacceptable. The superior method of education is deeply unfair and privileges those at the very top of the socioeconomic ladder. It’s an answer that was well-known historically, and is also observed by education researchers today: tutoring. […] Let us call [the] past form aristocratic tutoring, to distinguish it from a tutor you meet in a coffeeshop to go over SAT math problems while the clock ticks down. It’s also different than “tiger parenting,” which is specifically focused around the resume padding that’s needed for kids to meet the impossible requirements for high-tier colleges. Aristocratic tutoring was not focused on measurables. Historically, it usually involved a paid adult tutor, who was an expert in the field, spending significant time with a young child or teenager, instructing them but also engaging them in discussions, often in a live-in capacity, fostering both knowledge but also engagement with intellectual subjects and fields. He amply proves that many of the great geniuses of the past, including Bertrand Russell, Albert Einstein, and John von Neumann received tutoring like this, and suggests that its absence (more because of strengthening democratic norms than because people don’t have the money) might be why we don’t see figures of their stature anymore. II. I agree that this kind of tutoring sounds great. I wouldn’t be surprised if it has a big effect size. But it’s not the reason we have fewer geniuses. Why not? Suppose that half of past geniuses were tutored this way, and half weren’t. Even if every single genius who was tutored owed his genius entirely to the tutoring, the tutoring could only explain half of geniuses. That means that after the tutoring stopped, we would expect half as many geniuses. But Hoel is making a stronger claim: that there are almost no geniuses today. For aristocratic tutoring to explain that, we would need for almost all past geniuses to be aristocratically tutored. But as far as I can tell, that isn’t true. Probably well below half of them were. Just to give some examples: Isaac Newton went to a local school at at 12, and to Cambridge at 17. The Wikipedia page on his early life doesn't mention "tutor", except in the context of a college teacher. His adopted father was a country parson, and his family wasn't rich enough to do aristocratic tutoring even if they'd wanted to. Articles on his early life stress his self-motivated nature: he was constantly building things and observing things on his own time. Wolfgang Mozart was tutored, but primarily by his father, himself an excellent violinist. According to his Wikipedia article, "In his early years, Wolfgang's father was his only teacher". Mozart was already an obvious child prodigy by 6 or 7, and wrote his first symphony at 8. I can't find any evidence that non-family members contributed to his education. This kind of tutoring is still common; my wife learned cello from her grandmother, a professional music tutor. Charles Darwin went to a local school at age 8, switched to a boarding school at 9, spent a summer at age 16 following his father (a doctor) around as he treated patients, then went to medical school. He switched to regular college at Cambridge at 19, where he seemed to have a pretty traditional education. Wikipedia has a long article on his education, which doesn't mention the word "tutor" until college age, when he "spent the autumn term at home studying Greek with a tutor". Later in college, he "joined other Cambridge friends on a three-month "reading party" at Barmouth on the coast of Wales to revise their studies with private tutors". I don't think he had a stronger relationship with being tutored himself, especially not in childhood. His summer following his father around learning medicine was probably good for him, but not outside the bounds of what still happens today (I followed my father around learning medicine). Louis Pasteur was born "to a Catholic family of a poor tanner". He went to primary school at 8 and college at 16. I can't find any evidence he was tutored. Charles Dickens barely seems to have been educated at all. His family was so poor that he spent some of his childhood working in a sweatshop. During other periods they did a little better and he went to small lower-to-middle-class private schools. Dickens seems to have gotten most of his education by reading novels on his own. Thomas Edison grew up poor in Michigan. Again according to Wikipedia, "Edison was taught reading, writing, and arithmetic by his mother, who used to be a school teacher. He attended school for only a few months. However, one biographer described him as a very curious child who learned most things by reading on his own. As a child, he became fascinated with technology and spent hours working on experiments at home." Hoel argues that the decline in aristocratic tutoring is “why we stopped making Einsteins”. But then why did we stop making Newtons, Mozarts, Darwins, Pasteurs, Dickenses, and Edisons? III. One other argument: Hoel cites Holden Karnofsky’s Where’s Today’s Beethoven?, which suggests that music is a typical case of the genius decline. But aristocratic tutoring in music is alive and well. When my brother was identified as a piano prodigy, my (well-off but not absurdly rich) parents hired jazz musician Linda Martinez to tutor him. I asked around and this is apparently pretty common in music. In fact, it seems common across a variety of fields, especially those that aren’t taught in school and where success doesn’t make you too rich to need tutoring money (a friend brings up chess as another example). If aristocratic tutoring were a significant factor behind declining genius, we would expect to see a split: fields like science where tutoring is rare would lose their geniuses, whereas fields like music where tutoring is common would be as genius-filled as ever. But people use music as a typical example of a declining-genius field. So that can’t be it. IV. So what’s my explanation? You will not be surprised to hear it’s the maximally boring one, a combination of: Good ideas are getting harder to find. In 300 BC, if you noticed that the water level in your bathtub got higher when you got into it, you were allowed to run through the streets shouting “eureka!” and declare yourself to be a genius. Now you would need some 400 page mathematical proof drawing on the topology of eight-dimensional manifolds in order to get that kind of cred.
GT School (Georgetown, TX) — Alpha’s “Gifted and Talented” School. Higher admissions bar; higher academic expectations; Afternoon programming focused on excelling in “academic competitions” like chess, go, debate, public speaking, robotics, programming and Quiz Bowl.
Inline links: GT School
Chess
Quiz Bowl All of the GT Workshops are focused on a measurable, legible output. They don’t learn “public speaking”, they learn how to craft and deliver a speech and then submit the performance to the Moth to be judged by external parties. The school’s “100% Money Back guarantee” is that every student who attends will be in the top 1% academically and win at least one national academic competition (for kids who start in kindergarten they guarantee 1350+ SAT and 5s on APs by 8th grade). This past year four kids placed in the top-8 in a global debate with more than 1000 entries, and two kids are competing at national championships in chess and an academic bee respectively, but not national champions yet. The second part of the afternoon is roughly 45-minutes per day to work on individual “Check Charts”. Check Charts are an assigned series of tasks each student needs to complete before they can move to the next “level”. Levels are mostly broken into two-year cohorts of kids. Roughly: Learning Lab = Kindergarten and 1st grade
Inline links: 100% Money Back guarantee