Scott Alexander presents his monthly collection of interesting links and developments across technology, science, culture, and policy, with personal commentary on each item. Longer summary

Scott Alexander shares a collection of 61 interesting links, spanning topics from AI development and scientific studies to cultural observations and policy discussions. The post covers diverse subjects including GPT-5's reception, genetic research, religious demographics, urban development, mental health studies, and various scientific discoveries. Scott provides commentary and analysis on many of these items, often connecting them to broader themes or offering his perspective on controversial issues. Shorter summary

Scott Alexander evaluates the accuracy of COVID-19 predictions made by himself and two others in April 2020, discussing the results and their implications for forecasting. Longer summary

Scott Alexander reviews the accuracy of COVID-19 predictions made in April 2020 by himself and two other forecasters, Zvi and Bucky. The post compares their predictions on 20 questions related to the pandemic, using a logarithmic scoring system. Scott discusses the results, noting that Zvi performed best, followed by Scott, then Bucky. He reflects on the value of such exercises for identifying biases and areas for improvement in forecasting. The post also includes updates on other prediction markets and forecasting platforms. Shorter summary