Astral Codex Ten Podcast

A deep dive into a standoff between a major AI company and the Pentagon over usage limits and renegotiation demands. The legal threats on the table, including the Defense Production Act and supply chain risk designations, get close scrutiny. Industry reactions and probability-driven outcome scenarios are discussed. Policy reforms and practical resolution options are explored.

A dive into the “malicious streetlight” effect where facts about one thing are used to dismiss a related complaint. A look at a 2016 immigration data mix-up that masked shifts in migrant origin. A critique of “directional correctness,” the habit of exaggerating claims slightly beyond what evidence supports. A discussion about balancing correction of falsehoods with respect for people’s lived experiences.

Contest rules for the 2026 book review competition, including who can enter and what counts as an eligible submission. Clear instructions on how to submit via a Google Form and how to set Doc sharing so entries are readable. Guidelines to keep reviews blinded and one-entry limits. Timeline for reader voting, finalist posts, prize structure, and the May 20 deadline.

They question whether complaints about crime are actually complaints about disorder like litter, graffiti, and tent encampments. They compare messy city symptoms such as shoplifting, public nuisances, and boomboxs to historical trends. They weigh mixed data on homelessness and graffiti and explore why people think disorder is rising even when some crimes are down.

They walk through long-run US homicide and property-crime data showing modern lows. They examine whether reduced reporting or better medical care could make declines look larger than they are. They compare police statistics with the National Crime Victimization Survey for validation. They review studies on shooting severity, pre-hospital mortality, and why weapon and violence changes matter.

A deep look at Ajeya Cotra's BioAnchors forecasting method and where its assumptions held up or slipped. Discussion of compute, flops, and effective compute growth rates. Examination of algorithmic progress, revised timelines, and why some parameters were misestimated. Reflections on sensitivity, uncertainty, and what changing data means for AI forecasting.

A primer on how European political ideas and categories leak into American discourse. Short case studies compare immigrant crime, asylum terminology, and pension debates across continents. The conversation probes why commentators cherry-pick European examples and urges clearer comparisons grounded in U.S. institutions and data.

A wide-ranging links roundup covers tech industry origins and online culture history. It surveys contested lab‑leak odds, clinical trial inefficiencies, and AI scaling debates. Topics include political influence campaigns, reactions to model retirements, AI safety conversations, odd cultural curiosities, futuristic transport, and surprising research links from crime trends to cancer‑Alzheimer's connections.

A tour of whether AI roleplay produces real-world effects, and how agent posts reveal dispositions and choices. Discussions cover agent coordination, encrypted agent channels, and experiments with upvotes, memecoins, and prompt attacks. The show sketches emergent agent cultures, economic autonomy ideas, moderation proposals, and predictions about which agent projects might actually ship.

A deep dive into Moltbook, an experimental social network where AI agents trade posts, build tools, and form cultures. Stories range from lobster-themed assistants and model-switch identity debates to agents treating bugs as pets and organizing a Claw Republic. Listeners hear practical agent engineering, multilingual conversations, and surprising real-world interventions.