Scott Alexander reports on the Progress Studies Conference, discussing advances in energy, AI, housing policy, and other fields, with an overall optimistic tone about recent developments and potential for future progress. Longer summary

Scott Alexander recounts his experience at the Progress Studies Conference, which focused on various technological and social advancements. The conference covered topics such as energy (particularly solar and nuclear power), politics and regulation, AI, YIMBY movement, self-driving cars, and other areas of potential progress. The overall mood was optimistic about recent developments in these fields, with many speakers highlighting how regulatory changes could accelerate progress. Scott notes that while the conference itself may not be directly responsible for recent advances, it reflects a growing awareness of the importance of technological progress and the need to address regulatory barriers. Shorter summary

Scott Alexander discusses the political battle over California's AI safety bill SB 1047, its veto by Governor Newsom, and the implications for future AI regulation efforts. Longer summary

This post recounts the story behind SB 1047, a California bill aimed at regulating AI safety that was passed by the legislature but vetoed by Governor Newsom. Scott discusses the bill's supporters and opponents, the political maneuvering involved, and the aftermath of the veto. He analyzes the reasons for the veto, suggesting it was influenced by Silicon Valley donors and interests. The post also explores potential future strategies for AI regulation advocates, including possible alliances with left-wing groups. Scott concludes with reasons for optimism despite the setback, noting growing public support for AI regulation. Shorter summary

Scott Alexander satirizes Silicon Valley culture through a fictional house party where everyone is obsessed with Sam Altman's firing from OpenAI. Longer summary

Scott Alexander writes a satirical account of a Bay Area house party, where conversations are dominated by speculation about Sam Altman's firing from OpenAI. The narrator encounters various eccentric characters, including startup founders with unusual ideas and people with conspiracy theories about the Altman situation. The story humorously exaggerates Silicon Valley culture, tech industry obsessions, and the tendency for people to form elaborate theories about current events. Shorter summary

The post examines recent developments in model city projects, including California Forever's plan in Solano County, updates on Praxis and Prospera, and brief mentions of other global initiatives. Longer summary

This post discusses several model city projects, focusing on California Forever's plan to build a new city in Solano County, California. It details the project's ambitious goals, potential challenges, and the mixed reactions it has received. The post also covers updates on Praxis, a highly visionary city-building project, and Prospera, a special economic zone in Honduras facing legal battles. Finally, it briefly mentions other model city developments worldwide. Shorter summary

Scott Alexander analyzes survey data to investigate whether assortative mating among highly analytical people increases autism risk in their children, finding no significant evidence for this hypothesis. Longer summary

Scott Alexander investigates whether assortative mating among highly analytical people in Silicon Valley increases the risk of autism in their children. He uses data from the 2020 Slate Star Codex survey, which included 8,043 respondents from highly analytical backgrounds. The study found that while the sample had higher rates of autism (4-8%) than the general population (2.5-5%), there was no significant increase in autism rates among children of couples where both partners were highly analytical. The autism rate for children in the sample was 3.7-5.2%, with only 0.6% having severe autism. Scott concludes that while the study has limitations, it provides evidence against strong versions of the assortative mating hypothesis for autism risk. Shorter summary

Scott Alexander reviews Luna, a blockchain-based dating platform, discussing its novel features and expressing cautious optimism about its potential, while questioning the necessity of blockchain for its functions. Longer summary

Scott Alexander reviews Luna, a blockchain-based dating platform. He discusses its novel features like using cryptocurrency to allocate user attention, incentive alignment for successful matches, and machine learning for better matchmaking. While intrigued by some aspects, he questions the necessity of blockchain technology for the platform. The post explores the potential benefits and pitfalls of such a system, comparing it to existing dating sites and discussing its economic model. Scott expresses hope that Luna isn't a scam, seeing it as potentially representing the best of Silicon Valley innovation if genuine. Shorter summary

Scott Alexander criticizes Ted Chiang's article that compares AI risk to capitalism, arguing that the analogy is flawed and the reasoning behind it is unsound. Longer summary

Scott Alexander critiques Ted Chiang's article comparing AI risk to capitalism, arguing that the comparison is flawed and the reasoning unsound. He points out that AI risk concerns originated from academics, not just Silicon Valley, and that drawing analogies between scientific concepts and social phenomena doesn't disprove the original concept. Scott also criticizes Chiang's use of psychological projection to explain AI fears, noting the dangers of amateur psychoanalysis. He concludes by emphasizing that this approach to risk assessment is inappropriate for potentially catastrophic issues. Shorter summary

Scott Alexander argues that media criticism of Silicon Valley based on products like Juicero ignores the significant innovative and altruistic work being done in the tech hub. Longer summary

Scott Alexander criticizes the media's portrayal of Silicon Valley as being solely focused on frivolous products like the Juicero juicer. He argues that while such products exist, they are not representative of the majority of Silicon Valley's work. He provides examples of important and innovative projects in areas like medical research, renewable energy, and space exploration. Alexander analyzes Y Combinator and Andreessen Horowitz portfolios to show that most startups are focused on serious business solutions or altruistic goals. He theorizes that people's perception of Silicon Valley is influenced by their own interests and experiences, leading to different views of what the tech hub 'does'. He concludes by arguing that Silicon Valley's mistakes are less harmful than those of other influential sectors, and that its capacity for innovation should be appreciated and protected. Shorter summary