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0:32ENSam Altman on the Continuing Demand for Software WorkSam Altman, Matthew Berman · OpenAIIn a short interview excerpt, Altman says demand for software may be larger than expected even as AI changes how it is made.
16:58ENLincoln Murr on Payments, Trading, and Trust for AI AgentsLincoln Murr · CoinbaseCoinbase’s AI product lead describes x402, potential financial workflows, and a gradual approach to agent autonomy.
15:30ENHow Monzo Built Agent Chip into a Reusable Banking PlatformFelippe Felisola Caso, Francesco Galletta · MonzoMonzo’s team explains the platform, access controls and workflows behind its in-house agent.
34:47ENWhy SemiAnalysis Raised Its 2027 Data Center ForecastInvité : Jeremie Ontiveros, Reyk Knuhtsen · Anime : Jordan NanosJeremie Ontiveros and Reyk Knuhtsen explain their project-level model, construction risks and the possibility of a future capacity imbalance.
17:41ENAl Chen: Evidence, Recovery and Data Controls for AI in BanksAl Chen · CiscoA practical discussion of vulnerabilities, disaster recovery and sensitive data in bank AI deployments.
37:14ENElon Musk on AI Control, Robot Abundance, and His Regrets About DOGEInvité : Elon Musk · Anime : Walter IsaacsonWalter Isaacson asks Elon Musk how humanity can remain safe and find purpose as AI grows more capable, and challenges him on politics, empathy, and the future he is building.
55:07ENKaran Singhal on AI, Trust and the Future of Health CareInvité : Karan Singhal · Anime : Jay RughaniOpenAI’s health AI research lead discusses medical evaluations, patient support and the gap between information and care.
17:42ENOliver Kennon: Why GPU Operating Capability Changes the Cost of AIOliver Kennon · SemiAnalysisA comparison of inference configurations leads to a broader discussion of useful output, security, costs and compute futures.
31:13ENTheo on Why Smarter Models Help More Than DevelopersTheo Browne · Ping LabsFrom game modifications to compiler experiments, Theo revisits his assumptions about who benefits from more capable AI.
28:23ENLearning Ash: Declarative Elixir Apps, Testing and ExtensibilityChristian Alexander, Rebecca Le, Zach DanielRebecca Le and Zach Daniel explain how their book and the framework evolved together.
1:01:59ENJean-Denis Greze on Leaving Tax Software to Build an AI AssistantInvité : Jean-Denis Greze · Anime : Alex RampellThe Town founder explains why a growing tax business was not the opportunity he wanted, and how he thinks AI agents could change everyday work.
17:32ENEvan Kormos: Building Evidence Before Letting Agents Work with Less SupervisionEvan Kormos · CoinbaseA Coinbase engineer explains policy boundaries, workflow graphs, evaluations and a staged approach to oversight.
51:37ENPamela Fox: Test Model Swaps Against Your Own ApplicationPamela Fox · MicrosoftA hands-on workshop compares grounding, vision, tool use and evaluation across model configurations.
18:51ENPrathik Naidu: Using Acquisitions to Deploy AI in ServicesPrathik Naidu · Long LakeLong Lake’s founding partner explains the investment and operational case for buying services companies and deploying AI inside them.
18:14ENJediah Katz: Why Agent Harnesses Still Matter as Models ImproveJediah Katz · SpaceXAIA harness engineer discusses the model data flywheel, long-running agents, security and efficiency.
40:33ENDylan Field on Figma, AI and Why Design Still MattersInvité : Dylan FieldThe Figma CEO discusses the failed Adobe acquisition, competition from AI model providers and the role of human intention in creative work.
1:19:50ENSameer Dholakia on AI Investing, Bessemer's Growth Strategy and Company CultureInvité : Sameer Dholakia · Anime : Harry StebbingsThe Bessemer partner explains his approach to pricing fast-growing AI companies, backing founders and building teams, while discussing the risks behind his optimistic forecasts.
1:01:04ENNick Nisi and Zack Proser: Give Coding Agents Evidence That Their Work Is DoneNick Nisi, Zack Proser · WorkOSA WorkOS workshop uses a broken waitlist to show how repeatable checks, receipts and evaluations support agent-assisted development.
31:47ENTheo on Asking Agents for Outcomes and Building the Tools They NeedTheo Browne · Ping LabsA tool-call report, a troubleshooting playbook and connected data show how prompting can reshape product engineering.
44:30ENDenys Linkov: Making Messy Insurance Claims Data Useful for AIDenys Linkov · WisedocsWisedocs’ AI leader describes duplicate records, missing evidence, evaluation and the path from individual medical claims to portfolio insights.
0:22ENDeepSeek's Memory Use: A Short Claim About KV CacheMatthew Berman · Forward FutureMatthew Berman links lower cache memory use to serving more tokens, but the excerpt does not state the comparison behind its figures.
49:35ENOpenProse: Declaring Outcomes for Event-Driven Agent WorkflowsDan Barrett, Raymond Weitekamp · OpenProseDan Barrett and Raymond Weitekamp demonstrate Markdown contracts, pull-request review and financial model documentation.
0:42ENMatthew Berman Tests a Gemini 4 Argon Fall Guys-Style GameMatthew Berman · Forward FutureA short playthrough shows a colorful obstacle course after a few rounds of iteration, with Berman assessing its gameplay and collisions.
1:34:06ENAI Infrastructure Debt, Anthropic’s IPO and a Debate Over SafetyInvité : Ben Horowitz · Anime : Jason Calacanis, Chamath Palihapitiya, David SacksThe All-In panel and Ben Horowitz assess a selloff in AI infrastructure, software economics and disputed claims about model safety.
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