Scott examines the rise of AI superforecasters that now match or exceed top human forecasters, explores how they work and their current performance, and analyzes implications for decision-making, prediction markets, and the future role of AI opinions. Longer summary

Scott discusses the emergence of AI superforecasters that are now matching or slightly exceeding top human forecasters in prediction accuracy. He describes how these AI systems work (using scaffolding around frontier models like GPT/Claude), demonstrates their use with examples from FutureSearch and Preseen, and analyzes their performance on platforms like Metaculus where they're competing in tournaments against humans. The post explores both near-term implications (AI forecasters being easier to access than human superforecasters, potentially influencing policy and business decisions) and longer-term possibilities (AI forecasters serving as an 'opinion layer' for AI systems, transformation of prediction markets into AI-vs-AI competitions). Scott argues these developments could be genuinely beneficial, giving people access to superhuman forecasting ability just as AI threatens other aspects of society. 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

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

Scott examines a new AI forecaster, discusses Polymarket's success, and reviews recent developments in prediction markets and forecasting. Longer summary

This post discusses recent developments in AI forecasting and prediction markets. It starts by examining FiveThirtyNine, a new AI forecaster claiming to be superintelligent, but finds its performance questionable. The post then briefly mentions r/MarkMyWords, a subreddit for bold predictions. It goes on to discuss Polymarket's recent success, particularly in betting on the 2024 US presidential election. The post concludes with a roundup of interesting prediction markets and forecasting-related news, including political betting controversies in the UK and updates on the Kalshi vs. CFTC legal battle. Shorter summary

Scott Alexander discusses recent developments in prediction markets, including regulatory issues, new platforms, and current market probabilities on various topics. Longer summary

This post covers several topics in the world of forecasting and prediction markets. It starts with an update on Kalshi's request to the CFTC for permission to create prediction markets about upcoming elections, discussing the public comments received. The post then announces the Manifest 2023 conference on forecasting and prediction markets. It discusses prediction markets related to a potential room temperature superconductor discovery, and how these markets are being used to track the developing story. The post also covers PredictIt's legal battle with the CFTC, the use of forecasting technology in finance, new forecasting platforms like Fatebook and The Base Rate Times, and several current prediction market probabilities on various topics. It concludes with some short notes on recent developments in the forecasting world. 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 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