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12 posts found
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Jul 15, 2026
acx
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26 min 3,889 words 372 comments 180 likes
Scott Alexander argues that Plan A's proposed AI chip regulations are not a dystopian surveillance state, but rather comparable to existing regulations on controlled substances, and that most feared dystopian outcomes already exist in current banking and AI chat monitoring. Longer summary
Scott defends Plan A's AI chip regulation proposals against claims they would create an Orwellian surveillance state. He compares the proposed regulations (requiring factories, customers, and data centers to register and submit to inspections, plus cryptographic kill switches and transparency requirements) to existing regulations on controlled substances like Xanax, arguing they would simply make the AI chip industry more regulated without dystopian effects. He addresses specific concerns: consumer devices wouldn't need licenses (AI chips cost $40,000+ vs consumer hardware), open-weight models would be banned but replaced with open-algorithm requirements to prevent power concentration, and actual surveillance concerns are already worse in the status quo (banks monitor all transactions, OpenAI monitors chats). Scott argues the real costs are moving chip regulation from 50th to 95th percentile stringency, potentially taxing consumer hardware briefly, and banning new open-weight model training - substantial but not dystopian. Shorter summary
Jul 09, 2026
acx
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33 min 4,971 words 778 comments 437 likes
Scott presents Plan A, a detailed roadmap by Daniel Kokotajlo's AI Futures Project proposing a US-China regulatory agreement to safely advance AI to genius-level systems in the 2030s, solve alignment during a controlled pause, then achieve aligned superintelligence by 2040. Longer summary
Scott introduces Plan A, a detailed roadmap created by Daniel Kokotajlo and the AI Futures Project for navigating the AI transition safely. The plan envisions a trustless regulatory agreement between the US and China built on controlling chip supply and auditing data centers, followed by a 'golden mean' approach where both countries rapidly advance to top-human-genius-level AI while pausing before superintelligence. During this pause in the 2030s, billions of genius-level AIs would solve alignment and other major problems while being kept in controlled environments, eventually leading to fully aligned superintelligence around 2040 that helps chart humanity's future. The post frames this as offering a positive vision that satisfies both safety concerns and accelerationist goals through triple-digit GDP growth and rapid problem-solving. Shorter summary
Mar 25, 2026
acx
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8 min 1,207 words 773 comments 398 likes podcast (8 min)
A satirical dialogue showing how opponents of AI pause proposals often ignore that advocates explicitly call for bilateral agreements with China, not unilateral pauses. Longer summary
Scott presents a satirical dialogue between a supporter and opponent of AI pause proposals, where the opponent repeatedly ignores the supporter's explicit statements about wanting a bilateral agreement with China and keeps attacking a strawman position of 'unilateral pause.' The supporter patiently explains multiple aspects of pause proposals - including bilateral negotiations, enforcement mechanisms, economic considerations, and quotes from actual pause advocates like Eliezer Yudkowsky and David Krueger - but the opponent continues to repeat the same mischaracterization throughout the entire exchange. Shorter summary
Mar 03, 2026
acx
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36 min 5,499 words 307 comments 230 likes podcast (31 min)
Scott examines prediction markets on Anthropic's Pentagon troubles (minimal impact expected), the 2026 midterms (Democratic wins likely despite voting law concerns), groundhog weather predictions (mostly broken clocks), Iran conflict outcomes (under 50% regime change), and introduces MNX, a new AI-focused futures exchange. Longer summary
Scott analyzes several recent prediction market stories. First, he examines how Anthropic's stock price barely changed after the Pentagon declared it a 'supply chain risk', because markets predict the company will win on appeal and the designation only affects a small portion of their business while generating positive publicity. He then discusses the 2026 midterms, where Democrats are favored to win but various Republican voting law changes could create chaos, though markets suggest turnout won't be significantly affected. The post includes a statistical analysis of groundhog weather predictions, showing Staten Island Chuck's high accuracy is likely due to consistently predicting spring. He covers prediction markets about the Iran conflict, including regime change odds and potential casualties. Finally, he announces MNX, a new cryptocurrency-based futures exchange focused on AI-related hedging markets, and shares miscellaneous prediction market news including Substack's partnership with Polymarket. Shorter summary
Mar 01, 2026
acx
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27 min 4,148 words 435 comments 427 likes podcast (20 min)
Scott analyzes the legal controversy around AI companies contracting with the Department of War, showing that 'all lawful use' permits mass surveillance and autonomous weapons through existing legal loopholes, despite OpenAI's claims of safeguards. Longer summary
Scott Alexander analyzes the controversy around AI companies' contracts with the Department of War, focusing on Secretary of War Pete Hegseth's designation of Anthropic as a 'supply chain risk' after they refused to allow their AI to be used for mass surveillance and autonomous weapons. The post examines OpenAI's subsequent agreement with the DoW, which permits 'all lawful use' of their models. Through detailed legal analysis provided by anonymous readers, Scott shows that current laws have significant loopholes: mass domestic surveillance is technically legal when data is 'incidentally obtained' or purchased from third parties, and autonomous weapons are only regulated by vague DoW policies that can be changed at will. The post critiques OpenAI's FAQ as misleading, arguing their safeguards are inadequate, and concludes with questions that employees, journalists, and lawmakers should be asking about the contract. Shorter summary
Feb 05, 2026
acx
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48 min 7,419 words 660 comments 255 likes podcast (49 min)
A monthly collection of diverse links covering AI developments and regulation, COVID origins debates, healthcare policy, cultural phenomena, scientific research, and internet curiosities, maintaining Scott's characteristic blend of serious analysis and entertaining observations. Longer summary
Scott Alexander's February 2026 links collection covers a wide range of topics including AI developments, politics, science, culture, and internet phenomena. Major themes include updates on AI capabilities and regulation (with discussions of OpenAI, Anthropic, and various political machinations around AI policy), the ongoing COVID lab leak debate and related prediction markets, healthcare and drug development issues, cultural observations from around the world, and various scientific and academic findings. The post maintains Scott's characteristic style of jumping between serious policy discussions, academic research, internet curiosities, and cultural commentary, with particular attention to AI safety concerns, rationalist community topics, and interesting historical or linguistic oddities. Shorter summary
Dec 10, 2025
acx
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51 min 7,776 words 592 comments 260 likes podcast (52 min)
Scott's monthly roundup of interesting links covering AI policy developments, technology news, cultural observations, and scientific research from December 2025. Longer summary
This is Scott Alexander's monthly collection of links and commentary covering diverse topics. Major themes include AI policy battles (chip sales to China, regulation debates, political campaigns), startup news (Substrate fraud allegations, Tornyol mosquito drones), and scientific updates (COVID origins, Hitler's DNA, lactose intolerance). The post also covers cultural topics like the first millennial saint, Dimes Square commentary, and political polling about ideal Democratic candidates. Scott provides his characteristic mix of straightforward reporting, skeptical analysis, and occasional humor throughout the 53 linked items. Shorter summary
Nov 26, 2025
acx
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32 min 4,875 words 296 comments 245 likes podcast (29 min)
Scott argues AI safety regulation adds only 1-2% to training costs while America has a 10x compute advantage over China, making safety concerns irrelevant to the race; meanwhile, chip exports to China pose a far greater threat that the same critics ignore. Longer summary
Scott argues that AI safety regulation will not significantly harm America's position in the AI race with China. He breaks down the race into three levels (compute, models, and applications), showing America has a massive 10x compute advantage while China's strategy focuses on applications. He demonstrates that proposed AI safety regulations would add only 1-2% to training costs - trivial compared to America's compute lead. The real threats to US advantage are chip export policies and smuggling, where NVIDIA lobbies to sell advanced chips to China, potentially reducing the US advantage from 30x to 1.7x. Scott notes the irony that many people opposing safety regulation on China grounds simultaneously support chip exports, and argues safety regulation might actually help the US by improving security, enabling compute governance, and preventing future overreactions to AI incidents. Shorter summary
Oct 21, 2025
acx
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18 min 2,779 words 516 comments 343 likes podcast (17 min)
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
Oct 10, 2024
acx
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43 min 6,634 words 432 comments 184 likes podcast (43 min)
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
Jun 26, 2023
acx
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4 min 588 words 151 comments 70 likes podcast (39 min)
Scott Alexander summarizes the AI-focused issue of Asterisk Magazine, highlighting key articles on AI forecasting, testing, and impacts. Longer summary
Scott Alexander presents an overview of the latest issue of Asterisk Magazine, which focuses on AI. He highlights several articles, including his own piece on forecasting AI progress, interviews with experts on AI testing and China's AI situation, discussions on the future of microchips and AI's impact on economic growth, and various other pieces on AI safety, regulation, and related topics. The post also mentions non-AI articles and congratulates the Asterisk team on their work. Shorter summary
Aug 08, 2022
acx
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20 min 3,004 words 612 comments 181 likes podcast (22 min)
Scott examines why the AI safety community isn't more actively opposing AI development, exploring the complex dynamics between AI capabilities and safety efforts. Longer summary
Scott Alexander discusses the complex relationship between AI capabilities research and AI safety efforts, exploring why the AI safety community is not more actively opposing AI development. He explains how major AI companies were founded by safety-conscious individuals, the risks of a 'race dynamic' in AI development, and the challenges of regulating AI globally. The post concludes that the current cooperation between AI capabilities companies and the alignment community may be the best strategy, despite its imperfections. Shorter summary
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