Scott's monthly links roundup covering AI progress, the coming flood of philanthropic funding to effective altruism from AI companies, new research on persuasion and forecasting, and various scientific and cultural topics ranging from dementia prevention to Romanian politicians' embarrassing quotes. Longer summary

This is the second part of Scott Alexander's monthly links roundup for July 2026, covering a wide range of topics including AI developments, effective altruism funding waves, healthcare research, and cultural curiosities. Major themes include Chinese AI models catching up to the US (though still 6-12 months behind), the coming "third wave" of American philanthropy from AI company equity donations potentially flooding effective altruism with $40 billion/year, AI systems now outperforming humans at persuasion in specific contexts, and various scientific findings from dementia prevention to infinite ethics. The post maintains Scott's characteristic style of jumping between serious technical analysis, historical oddities, and humorous observations, with extensive linking to sources and ongoing debates in the rationalist and effective altruist communities. Shorter summary

Scott Alexander's April 2026 links roundup covers diverse topics including Venn diagram complexity, flag desecration laws, AI developments, political analysis, scientific studies, and various cultural curiosities. Longer summary

This monthly links post compiles interesting articles, studies, and observations from across the internet in April 2026. Major themes include AI progress and policy (including discussions of AI alignment, capabilities, and regulation), political developments (Trump administration actions, election analysis), scientific findings (from evolutionary psychology to medical treatments), and various cultural oddities. Scott provides brief commentary on each link while noting that he hasn't independently verified all claims and that commenters typically find errors in a few links per post. Shorter summary

Scott examines reader tests and discussions of AI's GeoGuessr abilities, revealing that AIs perform best with tourist locations and are roughly on par with human professionals. Longer summary

This post discusses the comments and follow-up tests on Scott's previous article about AI's GeoGuessr abilities. Various readers tested Claude/o3's location-guessing capabilities, with mixed results. The key insight was that the AI performs better with tourist destinations that have lots of photos available. Scott addresses suspicions about the Nepal picture from his original post, showing the AI's reasoning was sound. The post also compares AI performance to human GeoGuessr champions like Trevor Rainbolt, and discusses formal AI GeoGuessr benchmarks that show AIs performing similarly to human professionals. The post concludes by considering whether this represents true intelligence or just specialized training, though noting that even OpenAI's leaders seem impressed by the capability. Shorter summary