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 analyzes results from a 2022 prediction contest, discussing top performers and methods for improving forecast accuracy. Longer summary

Scott Alexander reviews the results of a 2022 prediction contest where 508 participants assigned probabilities to 71 yes-or-no questions about future events. The post discusses the performance of individual forecasters, aggregation methods, and prediction markets. It highlights the success of superforecasters, the wisdom of crowds, and prediction markets. The article also announces winners, discusses demographic factors in forecasting ability, and introduces a new contest for 2023, emphasizing the potential for improving forecasting accuracy through various methods. Shorter summary