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55:07ENKaran Singhal on AI, Trust and the Future of Health CareInvitado: Karan Singhal · Presenta: 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 AssistantInvitado: Jean-Denis Greze · Presenta: 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 MattersInvitado: 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 CultureInvitado: Sameer Dholakia · Presenta: 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 SafetyInvitado: Ben Horowitz · Presenta: 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.
0:58ENA 20-Minute Spreadsheet Prototype Built with Gemini 4 ArgonMatthew Berman · Forward FutureMatthew Berman tests a browser spreadsheet prototype on simple formulas and reflects on how AI could change software costs.
55:24ENEugene Cheah: Measuring and Right-Sizing AI Inference CostsEugene Cheah · Featherless AIFeatherless AI’s founder discusses workload measurement, model selection, capacity planning and the human processes around generated work.
1:56:13ENLaurie Voss: Building an Evaluation Loop for AI AgentsLaurie Voss · Arize AIA Phoenix workshop traces a deliberately flawed financial-analysis agent, tests evaluators and compares changes without mistaking a score for proof.
51:48ENNacho Martinez: Designing Memory-Aware Agent Harnesses for AMLNacho Martinez · OracleAn Oracle workshop uses a simulated bank to explain agent loops, memory, tool discovery and human review.
43:25ENHow Should Agent Authorization Reflect the User’s Intent?Allie Howe, Ian Livingstone, Michael Davis, Dick Hardt · KeycardA panel from Keycard, JPMorgan Chase and AAuth discusses missions, budgets, sandbox boundaries and independent audit records.
1:25:56ENClaude Changed the Password. The Steering Wheel Was Already OptionalPresenta: Nathan LabenzNathan Labenz and Prakash Narayanan spend a week on agents that can lock you out, models that dodge a feeling they deny having, and formal proofs that found Linux bugs.
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