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1:11:27EN
Invest Like The Best· Oct 27, 2026Podcast · 2 speakersCliff Sosin: What Remains Valuable When AI Intelligence Gets CheapGuest Cliff Sosin · Host Patrick O'ShaughnessyThe investor explores the limits of prediction, the economics of AI infrastructure and the assets that may complement abundant intelligence.InvestingAI StrategyAI cost & performance+2
6 slides16:38EN
AI Engineer· Oct 27, 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.Agent engineeringAI securityPrompt injection+2
4 slides55:06EN
SemiAnalysis· Oct 27, 2026Podcast · 4 speakersAnthropic'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.AI cost & performanceInfrastructure & deploymentEnterprise AI+2
1:19:47EN
Cheeky Pint· Oct 27, 2026Podcast · 3 speakersScott Kirby on United’s Fleet Bet, Starlink and Airline EconomicsGuest Scott Kirby · Host John Collison, Ben ThompsonUnited Airlines CEO Scott Kirby explains how he thinks about investing through downturns, building technology and running an airline network.LeadershipCompany BuildingProduct Strategy+2
42:06EN
The Builders· Oct 27, 2026Dario and Daniela Amodei on Building Anthropic, AI Safety, and Human MeaningGuest Dario Amodei, Daniela Amodei · Host 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.AnthropicAI AlignmentSafety & governance+2
5 slides29:40EN
How I AI· Oct 26, 2026Podcast · 2 speakersHow Reddit Proto Connects Design, Live Data and Production CodeGuest Blair Metcalf · Host Claire VoBlair Metcalf demonstrates Reddit’s internal prototyping harness and its design-system mapping for Figma and Cursor.Product & UXAI Product ManagementDeveloper workflows & testing+1
6 slides15:33EN
Jane Street· Oct 26, 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.Decision MakingMathematicsFintech
10 slides56:01EN
AI Engineer· Oct 26, 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.Evals & observabilityAgent engineeringSandboxes & isolation+2
7 slides1:05:44EN
Y Combinator· Oct 26, 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.Product DesignAI interface designProduct & UX+1
3 slides3:34:27EN
Lex Fridman· Oct 26, 2026Podcast · 4 speakersAI, Mathematics, and the Meaning of a ProofGuest Steven Brunton, Ankur Moitra, Alex Kontorovich · Host Lex FridmanLex Fridman and three mathematicians discuss recent AI-generated research, hard open problems and what human understanding contributes.MathematicsAI for scienceAI research+2
7 slides19:43EN
AI Engineer· Oct 26, 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.Agent engineeringAgent orchestrationSandboxes & isolation+2
9 slides53:04EN
AI Engineer· Oct 26, 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.Agent engineeringEvalsObservability & reliability+2
5 slides20:55EN
AI Engineer· Oct 26, 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.Voice AIAgent engineeringEvals+2
45:34EN
Citadel Securities· Oct 26, 2026Podcast · 2 speakersHenry Paulson on AI Risk, U.S.–China Relations and Crisis LeadershipGuest Henry M. Paulson, Jr. · Host Jim EspositoThe former Treasury secretary discusses today’s economic risks and lessons from the 2008 financial crisis.LeadershipDecision MakingInvesting+2
5 slides30:37EN
Theo - t3․gg· Oct 26, 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.Agent skillsCoding agentsCode review & verification+2
8 slides18:27EN
AI Engineer· Oct 26, 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.Code review & verificationCoding agentsDeveloper workflows & testing+2
23:48EN
20VC 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.Enterprise AIAI securityEvals+2
3 slides30:11ZH → 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.FintechAgentic commerceAI in finance+2
12 slides17:56EN
AI 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.Enterprise AIPrivacy & data governanceSearch & retrieval+2
7 slides35:19EN
AI 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.Evals & observabilityEvalsAgent engineering+2
0:26EN
Matthew 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.Human-AI CollaborationFuture of WorkAI Strategy
9 slides20:58EN
AI 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.AI in financeEnterprise AIRetrieval-augmented generation+2
10 slides18:31EN
AI 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.AI in financeBenchmarksEvals+2
2 slides0:36EN
Matthew 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.EvalsCoding agentsOpen-weight models
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