South Carolina

Article

South Carolina is a recurring place in the Astral Codex Ten archive, appearing 7 times across 7 issues between March 04, 2021 and June 27, 2025. The archive places it in contexts such as “badly in South Carolina in 2016”; “a majority in South Carolina”; “a reservation in South Carolina”. It most often appears alongside Substack, China, India.

Metadata

  • Category: Places
  • Mention count: 7
  • Issue count: 7
  • First seen: March 04, 2021
  • Last seen: June 27, 2025

Appears In

Source Context

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

March 04, 2021 · Original source
- Why New Bernie did so much better in Nevada in 2020 (with a much more diverse base). The article claims that caucuses "place a premium on ground-level organizing, where Sanders excelled." But this is not a distinction since Nevada was also a caucus in 2016 and the failures in 2020 South Carolina are being alleged at that same level, not that Bernie ran bad television ads or failed to show up.
- Why Classic Bernie did almost as badly in South Carolina in 2016. He got 26% of the vote there in 2016 and 20% in 2020. This is not a very dramatic difference considering the first contest was one-on-one against Hillary and it can be parsimoniously explained by an "anti-Hillary but not especially leftist" cohort.
April 06, 2022 · Original source
For one, there was a huge Black population - a majority in South Carolina, and at least a large minority elsewhere - who didn't get to vote, and would presumably have opposed secession.
August 01, 2022 · Original source
They seem to have gotten…an Indian tribe? That wasn’t on my bingo card for 2022. The Catawba Digital Economic Zone is the brainchild of Joseph McKinney (founder of the pro-charter-cities Startup Societies Foundation) and the Catawba Nation of Native Americans (a federally recognized tribe with a reservation in South Carolina). Indian tribes have regulatory independence from state governments, which some tribes have famously used to allow casinos in their territory. The Catawba are going one step further: they claim to have favorable cryptocurrency regulations which make it easier to register and operate your crypto company in Catawba territory than in the rest of the US. You can find their exact laws here, although they are long and in legalese. CoinDesk has an explainer of the crypto benefits, which seem to focus on digital asset regulations which “integrate digital assets under existing law”, including rights around disputes and loans. They also expect upcoming laws on DAOs, stablecoin, and banking. “Native American tribes” and “cryptocurrency” were not previously two concepts I associated closely with each other. But the Catawba were already a standout for their political savvy and economic ambitions, and they seem intimately involved here; the Zone is being run by “the business branch of the Catawba Indian Nation”, the commissioners are mostly Catawba citizens and tribal elders, and there are some nice touches like financial incentives for businesses that employ Catawba citizens. I like crypto as an insurance policy against oppressive governments, but I am not very bullish about it as an industry right now. Still, I am excited about the idea of Indian reservation charter cities - either in cooperation with outsiders like McKinney, or - who knows? - as grassroots designs from the tribes themselves. Reservation charter cities wouldn’t be the biggest deal. Tribes have substantial independence from state and local governments, but not much independence from the national government, and a lot of the dysfunction that needs escaping is at the federal level. Still, there are probably some niche opportunities; see eg Squamish tribe building skyscrapers on their land in Vancouver despite NIMBY opposition for one example of where this sort of idea could go. Seasteading In Paradise Malé is the capital of the Maldives, a tiny island nation in the Indian Ocean. It looks like this: One noticeable feature of Malé is its lack of lebensraum. Maldives is a pretty well-off country with a strong tourist industry, and lots more people would like to be nearby. What to do? You can already guess the proposed solution of Maldives Floating City. They want a 20,000 person seastead docked ten minutes away from the 130,000 person island-capital. The Floating City will serve both tourists and local Maldivians (some of whom are getting nervous about rising sea levels, and would probably appreciate a development guaranteed to stay above water). According to the organization’s press release, the Dutch corporate sponsor has obtained full permission to build the seastead, some test construction has already started, and full construction will begin in January. They hope to finish by 2027. Here are the inevitable pretty pictures: The layout is supposedly based on brain coral, but is this really the best way to lay design a seastead? Does this pattern really maximize the ease of getting from Point A to Point B? If you like tropical paradises and are incredibly optimistic, you can buy a house in the Floating City here, prices seem to be $150-250K. This is not the long-awaited dream of the libertarian seastead; the whole city will be firmly anchored in Maldives, both physically and legally. But if it works, it’s a proof of concept that libertarians may be able to build on later. Elsewhere In Model Cities 1: Prospera now hosts the drone delivery service Aerialoop, which will eventually transport cargo from their Roatan Island hub to various outposts on the mainland; you can find more information here. Their long-term plans include eventually following this up with passenger drones. And here’s some more information on the growing drone industry in Latin America. 2: Related: Prospera intern and resident George Kerpestein is writing a Substack about his experiences there. And here is the Prospera newsletter. 3: Thanks to commenters last month for pointing out that Chinese cult Falun Gong has its own compound/city in upstate New York. You can read more about it here: 4: Sealand is an independent nation (according to Sealand) based out of an old WWII sea fort in international waters. It is not for sale, but the Bull Sandfort is, for only £50,000. Alas, this one is firmly within British territorial waters. But it does look pretty defensible…anyway, see the listing here. Predictions In 2030, there are at least 50,000 people in whatever the Neom project has evolved into by then: 75%
September 04, 2023 · Original source
1: There’s a scam where an account pretending to be me is replying to comments here and then immediately deleting the replies; people are getting “replied to your comment” emails that suggest calling a number in South Carolina. I guarantee I will never respond to your comments urging you to call a phone number in South Carolina. I’ve told Substack about the problem and they say they’ve taken care of it - but if it keeps happening, let me know.
February 20, 2024 · Original source
How many residents will live in Prospera, a new special economic zone in Honduras, on Jan 1, 2026? Answer: 600 (80% confidence interval 100-2,000) This seems like a good guess (except that my confidence interval would have included zero because there’s a 20%+ chance that it gets shut down). So overall its forecasts seem pretty impressive. But I was concerned by its reasoning even in some of the questions it got “right”. For example, the Nikki Haley question tried to get a base rate by asking what percent of elections Haley had won before, and found she had won 71% of them - these were mostly elections for South Carolina governor. You can see what the AI is trying to do - but it’s not going to work. Then it got confused and read a lot of news stories about how she’s currently losing the 2024 presidential election, and seemed to think they were about 2028. So either the AI only got a reasonable probability by coincidence, or it was testing many different strategies, throwing out the useless ones, and updating only on the useful ones, in a way that was kind of opaque to the casual reader. Still, if the company says it beats most human forecasters, this doesn’t seem totally impossible based on what I’ve seen. And that would be exciting! An AI that can generate probabilistic forecasts for any question seems like in some way a culmination of the rationalist project. And if you can make something like this work, it doesn’t sound too outlandish that you could apply the same AI to conditional forecasts, or to questions about the past and present (eg whether COVID was a lab leak). I would be most excited if at some point this graduated from its geopolitical focus and was able to answer questions on any topic (eg “what is the chance that Astral Codex Ten gains paid subscribers this year?”), maybe if the questioner gives it links or feeds it some of the appropriate information. FutureSearch is run by a team formerly from Metaculus, including former Metaculus CTO (and Google internal prediction market veteran) Dan Schwarz. They’re looking for potential clients and/or investors; if you’re interested, email hello@futuresearch.ai. Vitalik On AI Prediction Markets Vitalik Buterin, Ethereum-founder-turned-cryptocurrency-public-intellectual, has a blog post on The Promise And Challenge Of Crypto + AI Applications. One of them is a prediction market. He writes: Prediction markets have been a holy grail of epistemics technology for a long time; I was excited about using prediction markets as an input for governance ("futarchy") back in 2014, and played around with them extensively in the last election as well as more recently. But so far prediction markets have not taken off too much in practice, and there is a series of commonly given reasons why: the largest participants are often irrational, people with the right knowledge are not willing to take the time and bet unless a lot of money is involved, markets are often thin, etc. One response to this is to point to ongoing UX improvements in Polymarket or other new prediction markets, and hope that they will succeed where previous iterations have failed. After all, the story goes, people are willing to bet tens of billions on sports, so why wouldn't people throw in enough money betting on US elections or LK99 that it starts to make sense for the serious players to start coming in? But this argument must contend with the fact that, well, previous iterations have failed to get to this level of scale (at least compared to their proponents' dreams), and so it seems like you need something new to make prediction markets succeed. And so a different response is to point to one specific feature of prediction market ecosystems that we can expect to see in the 2020s that we did not see in the 2010s: the possibility of ubiquitous participation by AIs. AIs are willing to work for less than $1 per hour, and have the knowledge of an encyclopedia - and if that's not enough, they can even be integrated with real-time web search capability. If you make a market, and put up a liquidity subsidy of $50, humans will not care enough to bid, but thousands of AIs will easily swarm all over the question and make the best guess they can. The incentive to do a good job on any one question may be tiny, but the incentive to make an AI that makes good predictions in general may be in the millions. Note that potentially, you don't even need the humans to adjudicate most questions: you can use a multi-round dispute system similar to Augur or Kleros, where AIs would also be the ones participating in earlier rounds. Humans would only need to respond in those few cases where a series of escalations have taken place and large amounts of money have been committed by both sides. This is a powerful primitive, because once a "prediction market" can be made to work on such a microscopic scale, you can reuse the "prediction market" primitive for many other kinds of questions: Is this social media post acceptable under [terms of use]?
June 18, 2025 · Original source
We then responded to home investigation requests in 2022 for two residents: a) one hospitalized with COVID-19 and later diagnosed with Legionnaires' disease (a type of pneumonia and leading cause of waterborne disease and deaths in the US) in Harrisonburg, VA, and b) another with Acanthamoeba keratitis (a rare eye infection) in a South Carolina town. Specifically, we packed and shipped sampling kits, probes, and instruction booklets/videos, and remotely assisted residents with measuring relevant water quality parameters, taking accurate water and biofilm swab samples, and shipping those back to our laboratory. Our team used quantitative and digital droplet PCR (qPCR/ddPCR) to test for Legionella pneumophila and Acanthamoeba bacteria. We did not find these pathogens at meaningful levels, although in at least the Harrisonburg case, the resident had followed CDC Legionella prevention guidance after a prior positive Legionella detection by increasing their water heater temperature, which could have contributed to successful remediation. The results were published in the scientific journal ACS ES&T Water. ACX funding provided partial support for the lead PhD student, supplies, analysis, and shipping costs.
June 27, 2025 · Original source
NextGen Academy (Austin) —Perhaps the most radical experiment. Afternoons are spent training in competitive esports & game design. Each new campus launched with <10 students, two or more local guides, and the same two‑hour core. Simultaneously Alpha opened a Miami elementary campus, promoted the idea that cities could launch “micro schools” if they had enough local demand (unless you count Miami, none actually launched) and piloted a beta-test of a Home‑School version of the platform. Early homeschool data showed that kids were using it for ~2 hours/day as planned, but only seeing a 1x learning growth — still a fine result for only doing 2-hours of academics per day, but a long way from what Alpha was delivering on their own campuses, so the program has stayed in beta. Jan 2025 | Charter & Licence Play Alpha now had a parent company, “2-hour Learning”, which sat above all of the schools, the home school product, and the platform itself (that they now offer to license out to third parties). The parent company filed under “Unbound Academy” to launch charter schools in Arizona and Pennsylvania. The Pennsylvania school was rejected, but the Arizona school will launch in fall 2025. There are more applications pending in at least Utah, Arkansa, North Carolina, South Carolina (and likely more). While the PR spin around these schools is “AI-driven, no teachers” in practice they use 20:1 teacher guide:student ratios (vs the 5:1 ratio at the Alpha private schools) Generally states subsidize charter schools in the neighborhood of $10,000 per student – which is a lot lower than what Alpha charges. They should be able to make those economics work by using fewer, less expensive teachers, not having an expensive campus (or no campus at all for the online schools), skimming on the extras (no trips to Poland), avoiding teaching the youngest kids (Arizona is 4th-8th grade), and being willing to accept smaller or even negligible margin on their learning platform. The goal of these schools does not seem to be making money or profit – at least not right away. The goal seems to be rapidly expanding the program to have more influence, and to see if they can make it work with “non-selected kids at a low price point”. Fall 2025 and Beyond | The Future The Alpha website claims the following locations are launching in Fall 2025: Houston, TX