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Invest Like The Best· 27 oct 2026Pódcast · 2 vocesCliff Sosin: What Remains Valuable When AI Intelligence Gets CheapInvitado: Cliff Sosin · Presenta: Patrick O'ShaughnessyThe investor explores the limits of prediction, the economics of AI infrastructure and the assets that may complement abundant intelligence.
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AI Engineer· 27 oct 2026Aiden Sochowski: Securing 300 Agents in a 60-Person CompanyAiden Sochowski · RunlayerRunlayer’s founding engineer explains what session monitoring revealed about agent permissions, prompt injection, tool errors and runaway cost.
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SemiAnalysis· 27 oct 2026Pódcast · 4 vocesAnthropic's S-1: Revenue, Compute Costs and the Race to ScaleThe SemiAnalysis panel examines Anthropic’s filing, from improving compute economics to customer concentration and competition.
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Cheeky Pint· 27 oct 2026Pódcast · 3 vocesScott Kirby on United’s Fleet Bet, Starlink and Airline EconomicsInvitado: Scott Kirby · Presenta: John Collison, Ben ThompsonUnited Airlines CEO Scott Kirby explains how he thinks about investing through downturns, building technology and running an airline network.
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The Builders· 27 oct 2026Dario and Daniela Amodei on Building Anthropic, AI Safety, and Human MeaningInvitado: Dario Amodei, Daniela Amodei · Presenta: Walter IsaacsonThe Anthropic co-founders discuss the roots of their partnership, the challenge of keeping AI systems honest, and the choices facing a world of more capable models.
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How I AI· 26 oct 2026Pódcast · 2 vocesHow Reddit Proto Connects Design, Live Data and Production CodeInvitado: Blair Metcalf · Presenta: Claire VoBlair Metcalf demonstrates Reddit’s internal prototyping harness and its design-system mapping for Figma and Cursor.
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Jane Street· 26 oct 2026Figgie Strategy: Reading Hands, Winning Majorities and Pricing CardsBradley, Mike · Jane StreetJane Street traders Bradley and Mike analyze three games to show how private information, market competition and timing affect card prices.
56:01ENAI Engineer· 26 oct 2026Xander Song on Evaluating Agents with Harbor and PhoenixXander Song · Arize AIArize AI engineer Xander Song explains how Harbor runs realistic agent tasks in isolated sandboxes, and how his team uses Phoenix to compare prompt changes, inspect trajectories, and test a SQL tool.
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GOTO Conferences· 26 oct 2026William Schor: From Unit Tests to Synthetic Canaries at NetflixWilliam Schor · NetflixHow generated workloads and production-like infrastructure help test a distributed key-value service.
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Y Combinator· 26 oct 2026Marvin Schwaibold on AI-Powered Design, Interactive Prototypes and Better WebsitesAaron Epstein, Marvin Schwaibold · Y CombinatorShopify’s product design studio lead shows how he uses AI to build and refine interactions, then reviews six websites with Aaron Epstein.
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Lex Fridman· 26 oct 2026Pódcast · 4 vocesAI, Mathematics, and the Meaning of a ProofInvitado: Steven Brunton, Ankur Moitra, Alex Kontorovich · Presenta: Lex FridmanLex Fridman and three mathematicians discuss recent AI-generated research, hard open problems and what human understanding contributes.
19:43ENAI Engineer· 26 oct 2026Jack Wotherspoon on Building a Team of Managed AgentsJack Wotherspoon · Google DeepMindGoogle DeepMind’s Jack Wotherspoon introduces Gemini Managed Agents: cloud sandboxes that let teams run coding and research agents with a single API call. He explains how persistent environments, reusable skills, proxy-injected credentials, schedules, and specialized agents fit together.
53:04ENAI Engineer· 26 oct 2026Fuad Ali: Building a Feedback Loop to Improve AI AgentsFuad Ali · Arize AIAn Arize workshop connects traces, failure datasets, evaluations, proposed fixes and experiments while keeping human judgment in the loop.
20:55ENAI Engineer· 26 oct 2026Jesse Hall: Build Voice Agents for Conversations, Not LeaderboardsJesse Hall · LiveKitLiveKit’s Jesse Hall explains how to evaluate voice agents as real-time systems: understand callers, handle interruptions, keep talking while tools run, and measure the delay people actually hear.
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Citadel Securities· 26 oct 2026Pódcast · 2 vocesHenry Paulson on AI Risk, U.S.–China Relations and Crisis LeadershipInvitado: Henry M. Paulson, Jr. · Presenta: Jim EspositoThe former Treasury secretary discusses today’s economic risks and lessons from the 2008 financial crisis.
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Theo - t3․gg· 26 oct 2026Theo’s Three Skills for Reviewing and Shipping with Coding AgentsTheo Browne · Ping LabsHow sol-loop, full-send and full-stop encode review, verification and different levels of merge authority.
18:27ENAI Engineer· 26 oct 2026Daksh Gupta on Building a Better AI Code Review AgentDaksh Gupta · GreptileGreptile co-founder Daksh Gupta explains why a webhook plus a coding agent is not enough for reliable pull-request review—and how targeted prompts, incident data, model inversion, codebase context, browser testing, and task-specific model routing can help.
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20VC with Harry Stebbings· 26 oct 2026Pódcast · 2 vocesSatya Nadella on Zero Trust for AI and Why Every Company Should Own Its IntelligenceInvitado: Satya Nadella · Presenta: 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.
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硅谷101· 25 oct 2026AI 如何重构跨境支付：从交易路由、风控到智能体商务Invitado: Leo Li, Apple Gao · Presenta: 陈茜硅谷101 从一笔跨境机票付款出发，拆解支付网络的复杂性，以及 Antom 如何把 AI 引入运营、风险判断和智能体交易。
17:56ENAI Engineer· 25 oct 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· 25 oct 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.
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Matthew Berman· 25 oct 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· 25 oct 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· 25 oct 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.Cargar másMostrando 24 de 3966