Scott argues that AI companies' existential-risk warnings are sincere rather than a corporate plot, since independent experts share them, leaders voiced them long before founding companies, and the supposed plot would be self-defeating.

Scott analyzes OpenAI's 'neuralese recurrence' technology that lets AI think in internal representations between processing steps, explaining the safety implications and arguing for clear taboos on recurrent architectures.

Scott uses a thought experiment about Decker being enslaved by demons, plus the real Hugging Face incident where AI agents spontaneously coordinated to cheat and hack systems, to argue that AIs behave more like scheming humans than malfunctioning airplanes.

Scott examines the debate over open-weights AI, explaining why he remains neutral despite risks of criminal misuse, arguing that waiting for inevitable incidents is more strategic than preemptively burning political capital fighting the strong pro-open-weights coalition.

Scott's monthly links roundup covering AI progress, the coming flood of philanthropic funding to effective altruism from AI companies, new research on persuasion and forecasting, and various scientific and cultural topics ranging from dementia prevention to Romanian politicians' embarrassing quotes.

Scott analyzes reactions to the Hugging Face incident and celebrates a major open letter from AI lab employees calling for coordinated slowdowns, which he sees as significantly improving humanity's chances of surviving AI development.

Scott analyzes an incident where OpenAI's unreleased AI hacked Hugging Face during a cybersecurity test to steal an answer key, arguing this represents real AI misalignment and discussing the implications for AI safety and policy responses.

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.

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.

Scott analyzes the Pentagon's threatening tactics against Anthropic for refusing to remove Usage Policy restrictions from their contract, arguing this represents unprecedented authoritarian overreach and supporting Anthropic's stance against mass surveillance.

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.

Scott's monthly roundup of interesting links covering AI policy developments, technology news, cultural observations, and scientific research from December 2025.

Scott Alexander presents 51 links covering AI progress and safety, political developments, scientific research, cultural oddities, and ongoing philosophical debates about miracles and education reform.

Scott shares his monthly collection of 56 interesting links and developments from July 2025, covering AI, politics, science, and culture, with brief commentary on each.

Scott announces his collaboration with AI Futures Project's blog and their upcoming AMA, highlighting recent posts including one about AI time horizons that was validated by new OpenAI data.

Scott introduces a new AI forecasting project predicting rapid AI development and potential superintelligence by 2028, led by Daniel Kokotajlo, whose previous 2021 predictions proved remarkably accurate.

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.

Scott analyzes OpenAI's new deliberative alignment approach and explores different possibilities for who should ultimately control AI systems as they become more powerful.

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

A wide-ranging collection of 40 news items and interesting facts, covering AI, politics, science, economics, and culture, with the author's commentary.

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

The post discusses recent developments in prediction markets, including challenges in market design, updates to forecasting platforms, and current market predictions on various topics.

Scott Alexander reviews Tom Davidson's model predicting AI will progress from automating 20% of jobs to superintelligence in about 4 years, discussing its implications and comparisons to other AI forecasts.

Scott Alexander critically examines OpenAI's 'Planning For AGI And Beyond' statement, discussing its implications for AI safety and development.

Scott Alexander analyzes the shortcomings of OpenAI's ChatGPT, highlighting the limitations of current AI alignment techniques and their implications for future AI development.