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

Scott reviews the state of prediction markets after explosive growth, finding that most volume is degenerate sports gambling rather than useful forecasting, and proposes both technical solutions and two potential futures for the field. Longer summary

Scott Alexander examines the current state of prediction markets after their recent explosion in popularity, noting that while volume has grown from millions to billions per month, most of it comes from sports betting rather than the epistemic improvement he'd hoped for. He explores several problems: markets aren't asking the most important questions society needs answered; resolution criteria disputes ("rulescucking") create controversy; and there are concerns about insider trading and manipulation. He proposes solutions including a novel approach to conditional markets and suggests two paths forward: either creating user-generated, subjectively-resolved real-money markets (the "Siskind Cube"), or accepting that prediction markets' main value may be as training data for AI forecasters that could make the markets themselves obsolete by late 2026. Shorter summary

Scott shares various interesting links and news items from January 2025, covering topics from AI development and politics to historical curiosities and economic trends. Longer summary

This links post covers a wide array of topics from January 2025, with Scott providing commentary and analysis on each. The links include discussions about running for Congress, AI development and safety, dating advice, psychiatric diagnoses, and various economic and technological developments. Scott often adds his own insights and sometimes skepticism to the claims being discussed. The post also includes several historical curiosities and social observations, maintaining a mix of serious analysis and lighter interesting facts. Shorter summary

Scott Alexander analyzes prediction markets for the Ukraine crisis, introduces Manifold Markets, and discusses recent Metaculus questions and forecasting initiatives. Longer summary

Scott Alexander discusses various prediction markets and forecasting platforms, focusing on the Ukraine crisis, a new prediction market called Manifold Markets, and recent questions on Metaculus. He analyzes the probabilities of a Russian invasion of Ukraine across different platforms, introduces the concept of an 'Alexander Cube' for ideal prediction markets, and highlights interesting markets on Manifold. The post also covers new Metaculus questions on intelligence enhancement and environmental issues, and mentions several forecasting-related contests and grants. Shorter summary