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23:48EN20VC with Harry Stebbings· Oct 26, 2026Podcast · 2 speakersSatya Nadella on Zero Trust for AI and Why Every Company Should Own Its IntelligenceGuest Satya Nadella · Host Harry StebbingsThe Microsoft CEO argues that capable agents need security boundaries even as alignment research remains unsettled, and explains why firms should retain the value created by their own AI use.
30:11ZH → English
硅谷101· Oct 25, 2026How AI Is Reshaping Cross-Border Payments: From Transaction Routing and Risk Control to Agentic CommerceGuest Leo Li, Apple Gao · Host 陈茜硅谷101 starts from a cross-border airfare payment to unpack how complex payment networks really are, and how Antom is bringing AI into operations, risk decisions, and agent-driven commerce.
17:56ENAI Engineer· Oct 25, 2026How Bridgewater Keeps Its AI Analyst Inside Permission BoundariesNikhil Benesch, Aaron Linsky · turbopufferAaron Linsky and Nikhil Benesch explain why search over an enterprise vault must honor document permissions without sacrificing recall or speed. Their solution combines vector indexing with native filtering to search hundreds of millions of vectors in roughly 120 milliseconds.
35:19ENAI Engineer· Oct 25, 2026SallyAnn DeLucia: How to Write Your First AI EvalSallyAnn DeLucia · Arize AITurn an agent’s real traces into concrete pass/fail criteria, then build an LLM judge you can test, align with people, and run in production.
0:26ENMatthew Berman· Oct 25, 2026Sam Altman on Human Values and Problem-Solving in an AI WorldSam Altman · OpenAIIn a short interview excerpt, Altman considers the enjoyment of solving hard problems and the human role in interpreting results.
20:58ENAI Engineer· Oct 25, 2026Vinoo Ganesh on Making Financial AI Cite Every NumberVinoo Ganesh · KeplerKepler CEO Vinoo Ganesh explains why financial AI should retrieve and cite figures while deterministic software handles the math. His design makes traceability, retrieval quality, and tenant security part of the answer itself.
18:31ENAI Engineer· Oct 25, 2026Janie Gu and Suyeol Yun: Why Frontier Models Fail as Buy-Side AnalystsJanie Gu, Suyeol Yun · Google DeepMindJanie Gu explains why benchmark scores can mislead, while Suyeol Yun presents MandateBench, which tests whether a model can turn a fund mandate into a defensible investment memo. The two talks show why real workflows, reproducible grading, and evidence-backed reasoning matter.
0:36ENMatthew Berman· Oct 25, 2026Kimi K3.1 and a Rubik’s Cube Solver DemonstrationMatthew Berman · Forward FutureMatthew Berman shows a scrambled virtual cube being solved and gives the Kimi K3.1 test a favorable assessment.
15:27ENAI Engineer· Oct 25, 2026What AI Engineers Do Now: Build the Loop Around AgentsAparna Dhinakaran · Arize AIAparna Dhinakaran argues that AI engineers are moving from shipping individual features to building systems that let agent teams improve them. At Arize, that means tracing agent behavior, evaluating its work against human judgment, and feeding those signals back into an always-on agent.
19:37ENAI Engineer· Oct 25, 2026Jay Sahnan and Arik Bird on Building Financial Agents for the Whole WebJay Sahnan, Arik Bird · BrowserbaseBrowserbase’s Jay Sahnan and Arik Bird show how browser agents reach financial data hidden behind logins and bot defenses. Their Ramp, Bill, and Stripe examples connect reliable cloud browsers with Stagehand’s more adaptive controls.
1:08ENThe Builders· Oct 25, 2026Elon Musk Proposes Competitor Review Before AI Model ReleasesGuest Elon Musk · Host Walter IsaacsonA short exchange with Walter Isaacson about safety coordination.
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Lenny's Podcast· Oct 25, 2026Podcast · 2 speakersRob Snyder’s PULL Framework for Finding Early DemandGuest Rob Snyder · Host Lenny RachitskyA practical conversation about customer urgency, alternatives, early sales and retention.
19:24ENAI Engineer· Oct 24, 2026Building an Agent Regression Loop from Production TracesSofia Jakovcevic · Arize AISofia Jakovcevic demonstrates how to compare agent changes across safety, task completion and other dimensions before deployment.
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Y Combinator· Oct 24, 2026Why Inference Matters 12× More Than TrainingFrançois Chaubard, Dan Fu, Jeff Morgan, Joe Fioti, Liangsheng Yin · Y CombinatorYC Paper Club walks the inference stack from an API request down to GPU kernels. Four talks from Together AI, Ollama, Luminal, and SGLang argue that serving quality, not just training FLOPs, is where most of the compute and the money now sit.
27:09ENAI Engineer· Oct 24, 2026Laurie Voss on the Product Engineer After AI Coding AgentsLaurie Voss · Arize AIAs code generation accelerates, Voss argues that review, operations and defining user needs become successive constraints—and that junior training must change.
0:21ENMatthew Berman· Oct 24, 2026An AI-Generated Kimi Benchmark Chart Used Invented ScoresMatthew Berman · Forward FutureMatthew Berman asks for a graph of Kimi K3.1 Pro benchmarks, then discovers that the displayed figures are illustrative placeholders.
1:28:36EN
Cognitive Revolution "How AI Changes Everything"· Oct 24, 2026Podcast · 5 speakersAI’s Pace: Interpretability, GPU Credit and the Physical Supply ChainGuest Zvi Mowshowitz, Evan Conrad, Lonis Hamaili · Host Nathan Labenz, Prakash NarayananA weekly highlights episode weighs uncertain AI research trajectories against finance, infrastructure, security and regulation.
21:52EN
PragerU· Oct 24, 2026Josef Witt-Doerring on Gen Z Mental Health, Isolation, and Psychiatric PrescribingShabbos Kestenbaum, Josef Witt-Doerring, Scott Galloway · PragerUOn The Brief, Shabbos Kestenbaum and psychiatrist Josef Witt-Doerring discuss why young adults are struggling, how prescribing incentives shape care, and the place of relationships and daily habits in treatment.
16:44ENAI Engineer· Oct 24, 2026How Bridgewater Built the Vault for Human Researchers and AI AgentsSam Green, Aaron Linsky · Bridgewater AssociatesSam Green and Aaron Linsky explain how Bridgewater organized more than 100 million documents and built search and proactive research tools around them.
25:50ENMatthew Berman· Oct 24, 2026Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.
1:13:26EN20VC with Harry Stebbings· Oct 24, 2026Podcast · 2 speakersNaveen Rao on Energy, AI Hardware, Verification and the Future of RoboticsGuest Naveen Rao · Host Harry StebbingsThe Unconventional AI founder argues that energy efficiency will shape AI hardware, while the growing volume of model output makes verification more valuable.
47:08ENY Combinator· Oct 23, 2026How Farza Majeed Makes Product Demo VideosAaron Epstein, Farza Majeed · Y CombinatorA founder’s approach to frequent launches, storytelling and measuring the audience that converts.
2:43:41EN
PowerfulJRE· Oct 23, 2026Podcast · 3 speakersJoe Rogan with Mystery Boys: Comedy, Speculation and Digital PrivacyGuest Kurt Metzger, Duncan Trussell · Host Joe RoganKurt Metzger and Duncan Trussell join Joe Rogan for a wide-ranging conversation about online culture, belief, creative work and surveillance.
58:25EN
Hard Fork· Oct 23, 2026Podcast · 4 speakersThe Theranos Documentary, Reporting and What the Film Leaves OpenGuest Rob Copeland, Erin Griffith, John Carreyrou · Host Max ReadHard Fork discusses You Can See Everything, a new venture and the evidence behind the Theranos story.Load moreShowing 24 of 4,452