Marc Andreessen's crypto SuperPAC spent $260 million in 2024 to successfully pressure politicians on crypto regulation, and now he's launching similarly massive AI-focused PACs that could dominate AI policy unless AI safety supporters organize their own political funding. Longer summary

Scott revisits his 2019 question about why there's so little money in politics relative to other industries, and reports that Marc Andreessen has essentially solved this puzzle by spending massively on crypto PACs in 2024 with overwhelming success. His Fairshake PAC raised $260 million (compared to AIPAC's $87 million), successfully pressured politicians into pro-crypto positions, and may have effectively purchased control over crypto regulation. Now Andreessen and others are launching AI-focused SuperPACs with $200+ million in funding, threatening to do the same for AI policy. Scott explains the mechanics of hard vs soft money, why the strategy worked, and ends by calling on AI safety supporters to organize their own political funding efforts to counter this influence. 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 examines a new AI forecaster, discusses Polymarket's success, and reviews recent developments in prediction markets and forecasting. Longer summary

This post discusses recent developments in AI forecasting and prediction markets. It starts by examining FiveThirtyNine, a new AI forecaster claiming to be superintelligent, but finds its performance questionable. The post then briefly mentions r/MarkMyWords, a subreddit for bold predictions. It goes on to discuss Polymarket's recent success, particularly in betting on the 2024 US presidential election. The post concludes with a roundup of interesting prediction markets and forecasting-related news, including political betting controversies in the UK and updates on the Kalshi vs. CFTC legal battle. Shorter summary

Scott Alexander defends effective altruism by highlighting its major accomplishments and arguing that its occasional missteps are outweighed by its positive impact on the world. Longer summary

Scott Alexander defends effective altruism (EA) against recent criticisms, highlighting its accomplishments in global health, animal welfare, AI safety, and other areas. He argues that EA has saved around 200,000 lives, equivalent to ending gun violence, curing AIDS, and preventing a 9/11-scale attack in the US. Scott contends that EA's achievements are often overlooked because they focus on less publicized causes, and that the movement's occasional missteps are minor compared to its positive impact. He emphasizes that EA is a coalition of people who care about logically analyzing important causes, whether broadly popular or not, and encourages readers to investigate and support the most beneficial causes. Shorter summary

Scott Alexander shares a diverse collection of links and news items, covering topics from architecture and history to AI developments and scientific studies, with brief commentary on many items. Longer summary

This post is a collection of various links and news items curated by Scott Alexander. It covers a wide range of topics including architecture, history, animal welfare, optical illusions, scientific studies, AI developments, demographics, and more. Scott provides brief commentary on many of the items, sometimes expressing his personal opinions or highlighting interesting aspects. The post includes both light-hearted topics (like unusual baby names) and more serious discussions (such as AI safety concerns and research on gender bias in academia). Shorter summary