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20:28ENWhy AI coding gains depend on more than faster code generationMartin Harrysson, Prakhar Dixit · McKinseyMcKinsey speakers describe smaller teams, shorter loops, curated context and quality checks observed among enterprise clients.
1:21:42ENWhat AI biology can do now, from cancer data to DNA designAlfredo Gonzalez, Yusuf Roohani, Garyk Brixi, Divya NoriFour researchers explain patient-specific cancer analysis, virtual cells and genome models, separating early experiments from proposed clinical applications.
31:22ENNouha Dziri on Making Coding-Agent Teams More Cost-EfficientNouha Dziri · CohereExperiments on ProgramBench and Commit0 show why the task bottleneck, lead model and coordination design matter more than simply adding agents.
20:08ENMETR Finds Faster AI Research at Anthropic, With Major UncertaintyMatthew Berman · Forward FutureMatthew Berman examines an independent assessment of AI-assisted R&D and the limits on its access to evidence.
19:34ENHow Cloud Agents Help Review Changes to a Security MasterAmol Kapoor, Clifford Ressel · Nori AgenticAmol Kapoor and Clifford Ressel explain why private-asset data is difficult to reconcile and how an agent assists human reviewers.
57:17ENScott Wilson on WashU’s Endowment, Concentration and Co-InvestingInvité : Scott Wilson · Anime : Harry StebbingsWashU’s CIO explains its manager relationships, direct investments, liquidity constraints and views on private-market valuations.
13:27ENA Financial Agent Must Show How It Reached Its DecisionAnirudh Veeraragavan · FieldguideAnirudh Veeraragavan uses a bank reconciliation to show how to make an agent’s work reviewable.
18:09ENOwen Anderson Discusses His ASU Training LawsuitShabbos Kestenbaum, Owen Anderson · PragerUThe professor describes his challenge to diversity training and a separate dispute over his courses; ASU disputes his discrimination allegations.
17:35ENAgent Infrastructure Needs Persistent State and Elastic ComputeAkshat Bubna · ModalModal CTO Akshat Bubna explains how sandboxes, shared storage and network controls support agents at scale.
1:26:17ENAI Forecasts, GPU Markets and the Question of What to BuildInvité : Brian Zhou, Mike San Miguel, Bryan Bischof · Anime : Nathan Labenz, Prakash NarayananNathan Labenz and Prakash Narayanan examine AI acceleration through election forecasting, compute trading and venture research.
1:50:32ENBuild a Financial Workflow With Skills, Data and CodexStefano Fabbri, Oliver Steffmann · OpenAIOpenAI’s Stefano Fabbri and Oliver Steffmann show how a wealth-advice workflow can be extended with internal tools.
18:28ENVinoo Ganesh on Building AI Answers from Verifiable FactsVinoo Ganesh · KeplerKepler’s co-founder describes pointer-based retrieval, deterministic calculations and access controls for financial AI.
44:15ENAmjad Masad and Paul Graham on Replit’s Path to AI CodingPaul Graham, Amjad Masad · Y CombinatorThe Replit co-founder traces agentic coding from user observations and cloud infrastructure to his vision for enterprise work.
1:42:28ENJamin Ball on Anthropic's S-1, Compute Economics and the Frontier Model RaceInvité : Jamin Ball · Anime : swyxAn investor examines Anthropic's filing, from cash flow and convertible notes to the financing and competitive pressures facing frontier AI labs.
33:40ENDennis Prager Responds to the 2026 Midterm ElectionsDennis Prager · PragerUPrager and a host discuss the election result, the administration’s record, Iran and immigration enforcement from a conservative perspective.
1:33:03ENThe All-In Hosts Debate the Midterms and the AI Infrastructure BacklashAnime : Jason Calacanis, Chamath Palihapitiya, David Sacks, David FriedbergThe panel disagrees over the election’s causes, the future of data centers and who will control AI capacity.
1:22:19ENMichael Feldstein on Cleaner Indoor Air and the Limits of Air FiltersInvité : Michael Feldstein · Anime : Chris WilliamsonThe Jaspr founder connects wildfire restoration to home air quality, ventilation and filtration.
1:04:02ENLance Martin: Audit Prompts, Build Better Evals and Optimize Agent CostLance Martin · AnthropicAn Anthropic engineer explains prompt caching, evaluation design, hill climbing and the architecture of reliable long-running agents.
23:05ZHRyo Lu:当我们什么都能做,还知道自己想做什么吗?Ryo Lu从 AI 生成的日记工具到爵士乐团,Ryo Lu 讨论如何在更强大的工具旁保有判断、生活和与他人合作的空间。
48:39ENJohn Somorjai on Salesforce’s Acquisition Strategy in the AI EraAlex Immerman, John Somorjai · a16zSalesforce’s acquisition leader explains build-versus-buy decisions, AI pricing, Slack and the diligence issues that can stop a deal.
10:18ENMidterm Results, Data Centers and Manufacturing: The Wrap UpPragerU reviews election results, local data-center concerns, manufacturing indicators and a toddler snack recall.
49:37ENRamtin Naimi on AI Venture Capital’s Growing Funding CrunchInvité : Ramtin Naimi · Anime : Patrick O'ShaughnessyThe Abstract Ventures founder explains faster financing rounds, capital-hungry AI labs and his search for overlooked founders.
19:19ENBen Holmes: Use Agent Traces to Improve Agent SkillsBen Holmes · WarpThe Warp engineer explains how scoring conversations can uncover hidden friction and produce reviewable configuration improvements.
19:43ENHow a Knowledge Graph Helped Map a 35-Million-Line MainframeStephen Chin, Neeraj Deshmukh · Neo4jStephen Chin and Neeraj Deshmukh explain context, agent orchestration and behavior-parity tests for legacy-system modernization.
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