Scott Alexander analyzes recent developments in prediction markets, including the LK-99 superconductor hype, a forecasting tournament, and new prediction market concepts. Longer summary

This post discusses several topics related to prediction markets and forecasting. It begins with an analysis of the LK-99 superconductor prediction markets, suggesting they were overly optimistic due to media hype rather than expert opinion. The author then discusses the Salem/CSPI prediction market tournament, highlighting how the top performers used various strategies beyond just predictive accuracy. The post introduces the concept of prediction portfolios, which allow betting on broader trends rather than specific outcomes. It also mentions a new prediction market for flight delays called Wingman.WTF. Finally, the post reviews current political prediction markets and other forecasting-related news. Shorter summary

Scott Alexander won his three-year bet on AI progress in image generation compositionality within three months, demonstrating unexpectedly rapid AI advancement. Longer summary

Scott Alexander discusses his recent bet about AI image models' ability to handle compositionality, which he won much sooner than expected. He explains the concept of compositionality in AI image generation, showing examples of DALL-E2's limitations. Scott then describes the bet he made, predicting improvement by 2025. However, newer AI models like Google's Imagen achieved the required level of compositionality within just three months. This rapid progress supports the idea that AI development is advancing faster than many predict, and that scaling and normal progress can solve even complex problems in AI. 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 presents a diverse collection of interesting links and news items from July, covering topics from linguistics and AI to politics and economics. Longer summary

This post is a collection of interesting links and news items from July. Topics range from linguistic analysis of Reddit insults, to COVID-19 learning loss, to AI art generation, to political and economic news. Scott also comments on recent scientific studies, technological developments, and cultural phenomena. The tone is informative and occasionally humorous, with Scott providing brief commentary or context for many of the items. Shorter summary

Scott Alexander explores various applications and recent developments in prediction markets and forecasting, covering topics from election betting to teacher evaluation and social media moderation. Longer summary

Scott Alexander discusses several topics related to prediction markets and forecasting. He starts with the concept of a Keynesian beauty contest applied to long-term forecasting, then analyzes recent developments in PredictIt markets, particularly the Virginia gubernatorial election. He explores the idea of using prediction markets to evaluate teacher performance, and examines some recent Metaculus predictions on SpaceX valuation, college enrollment, and AI code assistance adoption. The post also covers Vitalik Buterin's proposal for using prediction markets in social media moderation, and concludes with various links to prediction market-related news and articles. Shorter summary