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

Scott provides a detailed analysis of OpenAI's attempt to convert from nonprofit to for-profit status, including the legal challenges, competing offers, and implications for AI development. Longer summary

The post explains the complex situation around OpenAI's attempt to convert from a nonprofit to a for-profit structure. Scott details the history of OpenAI as a nonprofit, why they want to change, and the various legal and financial challenges they face. The post covers Sam Altman's proposed buyout plan, Elon Musk's competing offer and lawsuit, and the role of state Attorneys General in approving any conversion. The post also explains the implications for AI development and safety, and contrasts OpenAI's structure with Anthropic's different approach to balancing profit with beneficial AI development. Shorter summary

A satirical collection of fictional saint stories about rationalists taking rationalist principles to extreme lengths, written in the style of religious hagiography. Longer summary

A humorous fictional piece written in the style of religious hagiography (stories of saints), telling tales of imagined 'rationalist saints' who exemplify rationalist virtues and concepts. Each story is a short vignette featuring a different saint demonstrating extreme dedication to rationalist principles, from perfect calibration of probabilities to political neutrality to changing minds when evidence demands it. The stories are written with clear satirical intent, playfully incorporating rationalist concepts, figures, and organizations into the traditional format of saint stories. Shorter summary

Scott examines a prediction about eternal wealth inequality after the Singularity, analyzing potential counterarguments, prevention strategies, and ways to prepare for such a future. Longer summary

Scott analyzes a prediction that post-Singularity society will have eternal stagnant wealth inequality, with pre-Singularity capital determining wealth forever. He explores three angles: why this prediction might fail (eight counterarguments including AI killing humans, government intervention, and space colonization), how to prevent it (mainly through corporate structures like early OpenAI that limit investor returns), and how to maximize one's chances of being in the wealthy class (mostly concluding that traditional wealth-building advice applies). The discussion includes OpenAI's recent structural changes and their implications for wealth distribution post-Singularity. Shorter summary

Scott Alexander analyzes the astronomical costs and resources needed for future AI models, sparked by Sam Altman's reported $7 trillion fundraising goal. Longer summary

Scott Alexander discusses Sam Altman's reported plan to raise $7 trillion for AI development. He breaks down the potential costs of future GPT models, explaining how each generation requires exponentially more computing power, energy, and training data. The post explores the challenges of scaling AI, including the need for vast amounts of computing power, energy infrastructure, and training data that may not exist yet. Scott also considers the implications for AI safety and OpenAI's stance on responsible AI development. 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

Scott Alexander argues that OpenAI's open-source strategy for AI development could be dangerous, potentially risking human extinction if AI progresses rapidly. Longer summary

Scott Alexander critiques OpenAI's strategy of making AI research open-source, arguing it could be dangerous if AI develops rapidly. He compares it to giving nuclear weapon plans to everyone, potentially leading to catastrophe. The post analyzes the risks and benefits of open AI, discusses the potential for a hard takeoff in AI development, and examines the AI control problem. Scott expresses concern that competition in AI development may be forcing desperate strategies, potentially risking human extinction. Shorter summary