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 updates from two cohorts of ACX Grants recipients (from 2021 and 2024), analyzing their progress and sharing lessons learned about what makes grants successful. Longer summary

Scott Alexander reviews progress updates from two cohorts of ACX Grants recipients - the first cohort from 2021 (after 3 years) and the second from 2024 (after 1 year). The post methodically goes through each grant's status, with many showing significant progress in areas like AI safety advocacy, animal welfare, scientific research, and political lobbying. Scott then analyzes patterns in what made grants successful, finding that lobbying organizations and animal welfare projects were particularly effective, while scientific grants were harder to evaluate. He concludes that while not all projects succeeded, the $3 million program generated good value through both direct impact and startup creation, and he plans to continue it with some adjustments. Shorter summary

Scott Alexander reviews recent developments in prediction markets and forecasting, including regulatory changes, platform pivots, and debates about the field's future. Longer summary

Scott Alexander reviews recent developments in prediction markets and forecasting. He discusses the CFTC's move to further restrict prediction markets, Manifold Markets' pivot to a sweepstakes model, a superforecasting report on COVID-19 origins, and debates about the future and value of forecasting. The post also covers various prediction market probabilities on current events and links to other forecasting news. Shorter summary