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2:29:20ENThe Market Will Not Choose an Honest ModelAnime : Nathan LabenzJournalist Robert Wright tells Nathan Labenz that AI is a selection problem, a geopolitical problem, and a moral test humanity may not pass.
44:34ENTheo’s Six Ideas for Better Developer Tools and PlatformsTheoFrom safer package distribution to an open mobile platform and unusual AI benchmarks, Theo shares projects he hopes others will build.
1:16:37ENNikesh Arora on Enterprise AI, Cybersecurity and Model EconomicsInvité : Nikesh Arora · Anime : Harry StebbingsPalo Alto Networks’ CEO discusses model depth, token costs, security and how leaders can adapt large organizations.
0:26ENTheo on Agent Workflows: Don't Predefine Every PersonaTheoTheo explains his initial skepticism about orchestrating multiple coding agents and why he sees predefined personas as a poor fit for AI's dynamic nature.
2:14:33ENA 90-Minute Ultimatum, an Emoji Wall, and a Rule: Don't Fight WashingtonAnime : Nathan LabenzZvi Mowshowitz reads Fable's system card, then Nathan Labenz stress-tests the export-control fight against lawyers, safety researchers, and builders who did not pause.
1:20:59ENFlexport CEO Ryan Petersen on Logistics, AI and FundraisingInvité : Ryan Petersen · Anime : Harry StebbingsPetersen discusses the economics of global freight, automating operational work, venture financing and the lessons he has taken from building Flexport.
23:21ENTheo: Think Bigger When AI Makes Building CheaperTheoTheo compares AI-assisted development with the cloud transition and explains why he is experimenting with a broader developer platform.
2:38:44ENTwenty-one months from an autonomous researcher, the Action Plan's author joins OpenAIAnime : Nathan LabenzDean Ball is building Strategic Futures as OpenAI's public timeline counts down to an AI research intern in three months and a full autonomous researcher in March 2028.
0:59ENTheo: Design Agent Feedback Loops Instead of Every PromptTheoAfter mixed results with early loops, Theo describes why agent-driven review and iteration changed his mind about prompting.
16:11ENSeven AI Coding Agent Loops and When to Use ThemMatthew Berman · Forward FutureMatthew Berman explains how triggers, goals and repeatable checks can turn coding tasks into agent workflows, with examples for performance, documentation and product quality.
0:36ENTheo: Use One-Off Code to Coordinate Agent LoopsTheoA short example of an agent writing temporary code to trigger a workflow makes Theo rethink how models can prompt themselves.
1:28:10EN20VC Roundtable: AI Policy, Software Valuations and RoboticsInvité : Rory O’Driscoll, Everett Randle · Anime : Harry StebbingsHarry Stebbings, Rory O’Driscoll and Everett Randle debate reported AI restrictions, enterprise software competition and the practical challenges of robotics.
24:44ENTheo on Coding Agent Loops: Review, Coordination, and CostTheoTheo describes moving from manually passing review feedback to dynamic agent workflows, including an overnight multi-PR experiment and its limitations.
45:00ENLip-Bu Tan took the hardest job in chips to save IntelAnime : Sarah Guo, Elad GilThe Cadence veteran and semiconductor investor tells No Priors how he is rebuilding Intel's culture, balance sheet, and foundry, and why he still wants a 10x from here.
2:48ENTheo on Claude Code Features He Wants Other Tools to AdoptTheoDespite his criticisms, Theo highlights skill scripts, context imports, side questions, workflows and remote control as ideas worth borrowing.
27:47ENTheo on Claude Code: Skills, Workflows, and Session ControlsTheoTheo walks through features he hopes other agent tools will adopt, including dynamic skill context and a code-generated PR audit.
38:45ENThe 25-agent town that became a Fortune 500 decision sandboxOn the day before Valentine's Day in a Stanford simulation, cafe owner Isabella decided to throw a party — no human wrote the plot.
0:34ENAnthropic Temporarily Suspended Fable 5 and Mythos 5 After US DirectiveMatthew Berman · Forward FutureMatthew Berman reports the abrupt June 2026 shutdown and the interruption to his AI agents. Anthropic later announced the models’ return under different access arrangements.
0:37ENTheo Criticizes Fable 5 Access and Benchmark RestrictionsTheoTheo points to restricted access, fallback models and refusals in one coding benchmark as reasons for concern about Anthropic's Fable release.
29:32ENTheo on Fable’s Safeguards, Data Retention, and TransparencyTheoTheo examines fallback behavior and an initially undisclosed safeguard, then corrects himself after finding an update and changelog.
1:56ENWhy Anthropic Temporarily Suspended Fable 5 and Mythos 5Matthew Berman · Forward FutureMatthew Berman questions the response to a reported safeguard bypass and compares the cyber risks of competing models.
1:35:16ENPerplexity CEO Aravind Srinivas on AI Agents, Compute and CompetitionInvité : Aravind Srinivas · Anime : Harry StebbingsSrinivas discusses the future of AI products, infrastructure constraints, export controls and the challenge of building a business around model advances.
0:45ENTheo’s Explanation of Fable 5 and Mythos 5TheoTheo uses a two-door analogy to explain what he sees as the difference between the two Anthropic model offerings.
1:25:00ENMatan Grinberg on AI Coding, Token Costs and Building FactoryInvité : Matan Grinberg · Anime : Harry StebbingsFactory’s CEO discusses enterprise AI budgets, model choice, engineering culture and the uncertain effects of automation on work.
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