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15:03ENClaude Tag and the Risk of Locking Company Context into an AI ProviderMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s Slack-based assistant and argues that shared AI workers could reshape software, competition and control of organizational knowledge.
19:57ENTheo on the Fable 5 Restrictions: Security, Lawsuits, and Open ModelsTheoAfter access to Anthropic’s Fable 5 and Mythos 5 was suspended in June 2026, Theo examines the government’s stated security concerns and the questions they raised for developers.
44:52ENAn 80GB Wikipedia Cache Versus a 100GB Model That Holds the InternetEngram’s founders argue that stuffing a company into the context window is the expensive kind of memory—and that baking it into the weights can cut token use by two orders of magnitude.
0:52ENA 12-Day Codex Run to Build an Excel CloneMatthew Berman · Forward FutureMatthew Berman describes giving Codex a brief goal and manually stopping it after more than 12 days, then demonstrates the resulting spreadsheet.
1:34:29ENJacob Baskin on Building Superstore and Scheduling the HiveYaron Minsky, Jacob Baskin · Jane StreetThe Jane Street engineer traces the design choices behind a distributed analytical database and the challenge of allocating a growing research cluster.
49:05ENJason Yuan on Hivemind, Social AI and the Risks of Sharing Between FriendsInvité : Jason Yuan · Anime : Ellis HamburgerThe founder describes an AI that asks people in a network for answers, creates opportunities for connection and must navigate imperfect privacy safeguards.
15:12ENTwelve Open-Source AI Projects for Agents, Video, Coding and VoiceMatthew Berman · Forward FutureMatthew Berman surveys tools ranging from long-running agent frameworks to document OCR, skill security and local speech generation.
0:45ENTheo: Build Things by Solving Your Own ProblemsTheoChoosing a project can feel daunting. Theo starts with a problem he actually has and follows the next problems it reveals.
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.
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