Scott analyzes the Pentagon's threatening tactics against Anthropic for refusing to remove Usage Policy restrictions from their contract, arguing this represents unprecedented authoritarian overreach and supporting Anthropic's stance against mass surveillance. Longer summary

Scott discusses a contract dispute between Anthropic and the Pentagon, where the Pentagon is attempting to renegotiate their original agreement to remove Anthropic's Usage Policy restrictions and gain access to AI for 'all lawful purposes.' Anthropic has resisted, requesting guarantees against mass surveillance of American citizens and autonomous killbots, which the Pentagon refused. The Pentagon has threatened various consequences including designating Anthropic a 'supply chain risk'—an unprecedented use of a designation previously only applied to foreign adversaries. Scott argues strongly in support of Anthropic's position, viewing the Pentagon's tactics as authoritarian overreach. He addresses numerous counterarguments in detail, explains why the Pentagon should simply switch to another AI vendor, and praises the widespread support Anthropic has received from across the political spectrum and the tech industry. Shorter summary

The post examines the spectacle of US elections, analyzes recent developments in prediction markets, and discusses various election-related forecasts and their implications. Longer summary

This post discusses the intense atmosphere surrounding Election Day in the United States, comparing it to historical spectacles and highlighting the emotional and psychological impact on the population. It then delves into prediction markets and forecasting, particularly focusing on recent events in Polymarket where a large bet by a single individual caused significant market movements. The post also covers legal developments regarding prediction markets, discusses various election-related predictions, and concludes with a poetic reflection on Election Day. Shorter summary

The post discusses recent developments in prediction markets, including challenges in market design, updates to forecasting platforms, and current market predictions on various topics. Longer summary

This post covers several topics in prediction markets and forecasting. It starts by discussing the challenges of designing prediction markets for 'why' questions, using the OpenAI situation as an example. It then reviews the progress of Manifold's dating site, Manifold.love, after one month. The post also covers Metaculus' recent platform updates, including new scoring systems and leaderboards. Finally, it analyzes various current prediction markets, including geopolitical events, elections, and the TIME Person of the Year. Shorter summary

Scott Alexander discusses recent events in prediction markets, including a costly prank on Manifold, debt ceiling forecasts, a study on long-term predictions, and a high-profile hyperinflation bet. Longer summary

This post covers several topics in the world of prediction markets and forecasting. It begins with the story of a Manifold user who lost $29,000 in a prank market, leading to changes in Manifold's policies. It then discusses recent predictions about the US debt ceiling, a study on long-term forecasting accuracy, and a high-profile bet about hyperinflation between Balaji Srinivasan and James Medlock. The post ends with updates on other prediction markets, including ones about open-source AI and the ACX book review contest. Shorter summary

Scott Alexander presents a comprehensive FAQ on prediction markets, arguing for their accuracy, canonicity, and potential to solve the 'crisis of trust' in society. Longer summary

This post is a comprehensive FAQ about prediction markets, explaining what they are, why they are believed to be accurate and canonical, addressing common objections, and describing clever uses for them. Scott Alexander presents prediction markets as a potential solution to the 'crisis of trust' in modern society, arguing that they can provide unbiased, accurate predictions on a wide range of issues. The post also covers the current status of prediction markets and suggests ways people can help promote them. Shorter summary

Scott Alexander discusses recent developments in prediction markets, including midterm forecasts, legal challenges, nuclear risk assessments, and new market applications. Longer summary

This post covers various topics related to prediction markets and forecasting, including midterm election predictions, the CFTC's actions against PredictIt, nuclear risk forecasts, Kalshi's application for election markets, and updates on various prediction markets and forecasts. Scott discusses the discrepancies between poll-based and prediction market-based forecasts for the US midterms, the legal challenges to the CFTC's decision to shut down PredictIt, and recent nuclear risk assessments by forecasting groups. He also covers Kalshi's efforts to gain approval for election markets and provides updates on several ongoing prediction markets. Shorter summary

Scott Alexander examines the shutdown of PredictIt and its implications for the prediction market industry, while also highlighting new developments and forecasts in the field. Longer summary

This post discusses the recent shutdown of PredictIt, a prominent prediction market, by the CFTC. It explores potential reasons for the shutdown, including suspicions of lobbying by competitor Kalshi. The post also covers new developments in the prediction market space, including Hedgehog Markets allowing user-created markets, a forecasting tournament by the Salem Center and CSPI, and updates on various prediction markets and their forecasts on topics like China-US conflict, AI-generated music, and remote college education. Shorter summary

Scott Alexander evaluates predictions about the Russia-Ukraine war, analyzing the performance of prediction markets and individual pundits. Longer summary

Scott Alexander reviews various predictions about the Russia-Ukraine war, evaluating pundits and prediction markets on their accuracy regarding the invasion and Ukrainian resistance. He discusses the performance of Metaculus, Polymarket, Manifold Markets, and individual forecasters like Edward Luttwak, Anatoly Karlin, Richard Hanania, Dmitri Alperovich, Tyler Cowen, Samo Burja, and others. Scott notes that most failed predictions were based on political precommitments, while successful ones often aligned with biases that happened to match reality. He concludes that having a bias corresponding to the outcome is often more important than being smart when it comes to prediction success. Shorter summary

Scott examines the recent crackdown on Polymarket, critiques US policy on prediction markets, and discusses the future and potential of both prediction markets and cryptocurrency. Longer summary

Scott Alexander discusses the recent $1.4 million fine imposed on Polymarket by the CFTC and its implications for prediction markets. He critiques the US government's approach to prediction markets, arguing it hinders better decision-making. The post explores the potential of prediction markets, what's needed for their success, and the challenges they face. It also touches on the broader implications for cryptocurrency and its original vision of creating censorship-resistant financial products. Shorter summary

Scott reviews recent developments in prediction markets, including COVID-19 forecasts, the launch of Kalshi, and Metaculus' new hiring initiative. Longer summary

This post covers recent developments in prediction markets and forecasting. It reviews recent markets on PredictIt, Polymarket, and Metaculus, focusing on COVID-19 predictions, the launch of Kalshi (a new regulated prediction market), and Metaculus' hiring of 'Analytical Storytellers'. The author discusses the potential of prediction markets in providing clearer information about current events and future possibilities, and suggests some additional markets that could be helpful. The post also touches on demographic predictions about dependency ratios in various countries. Shorter summary

Scott Alexander examines prediction markets, focusing on Metaculus forecasts for AI development and its potential impacts. Longer summary

Scott Alexander reviews several prediction markets, focusing on Polymarket, Kalshi, and Metaculus. He discusses the challenges of using Polymarket and the potential of Kalshi as a regulated futures exchange. The bulk of the post analyzes Metaculus predictions on AI-related topics, including the timeline for AGI development, human-machine intelligence parity, economic impacts of AI, and specific AI achievements. Scott notes the wide range of predictions and the interesting ways prediction markets can quantify expert opinions on complex topics. Shorter summary