Lars Doucet revisits his influential 2021 ACX book review on Georgism five years later, updating his thinking on land value tax implementation based on practical policy work and recent legislative wins in multiple states.

A replication of a 2023 neuroscience study on brain entrainment and learning found that the original effect likely doesn't exist, revealing how the study obscured key issues through statistical averaging and highlighting how AI tools are democratizing scientific scrutiny.

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 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 shares 50 diverse links covering topics from AI developments to policy changes, with commentary on current events, research findings, and societal trends.

Scott Alexander discusses recent developments in prediction markets, including regulatory issues, new platforms, and current market probabilities on various topics.

The post explores AI forecasting capabilities, compares prediction market performances, and provides updates on various ongoing predictions in technology and politics.

Scott examines how AI language models' opinions and behaviors evolve as they become more advanced, discussing implications for AI alignment.

Scott Alexander provides updates on the ACX Grants project, summarizing the progress of grantees and their ongoing needs.

The post argues that automation and AI are unlikely to cause a sustained economic crisis, as new jobs will be created to replace those automated, though the benefits may primarily go to capital owners.

Scott Alexander examines AI-generated poetry produced by Gwern's GPT-2 model trained on classical poetry, highlighting its strengths and limitations.

A fictional account of an accidental AI creation that generates extremely controversial statements, leading to societal division and paranoia.