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5,041 件
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46:14EN
Every· 2026年11月4日ポッドキャスト · 2 人Kevin Roose on Reporting AI History and Choosing What to Delegateゲスト Kevin Roose · ホスト Natalia QuinteroThe journalist discusses The AGI Chronicles, interviewing a secretive industry, AI-assisted research and his distinction between weightlifting and forklifting.AI SafetyAI researchAI Strategy
スライド 5 枚18:01EN
AI Engineer· 2026年11月4日How NatWest Tests Customer-Facing AI Agents Before LaunchJonathan Osborne · NatWest GroupJonathan Osborne explains routing controls, human validation, unreliable LLM judges and shadow deployment in a regulated bank.評価(Evals)金融 AIAI Safety+2
12:24EN
Chris Williamson· 2026年11月4日ポッドキャスト · 2 人Joe Hudson on Decisions, Boundaries and Learning from Actionゲスト Joe Hudson · ホスト Chris WilliamsonChris Williamson and Joe Hudson discuss how to notice self-compromise, seek advice without surrendering judgment and remain open while acting decisively.LeadershipPsychology
19:48EN
AI Engineer· 2026年11月4日Why Datasite Bought Its Document Parser Instead of Building ItAdit Abraham, Raj Bakhru · ReductoRaj Bakhru and Reducto CEO Adit Abraham discuss the engineering trade-offs behind AI for transaction data rooms.Document understanding & OCRエンタープライズ AI検索拡張生成(RAG)+2
スライド 5 枚19:19EN
AI Engineer· 2026年11月4日Approve the Application, Not the AI Model: Building Evaluation Gates for a BankDoneyli De Jesus · Langfuse by ClickHouseDoneyli De Jesus explains how a bank tested an AI agent on its own data, added a calculator and used domain experts to set production gates.評価(Evals)金融 AIエージェント工学+2
2:43:00EN
PowerfulJRE· 2026年11月3日ポッドキャスト · 2 人Sam Tallent and Joe Rogan on Writing, Comedy, and Finding Perspectiveゲスト Sam Tallent · ホスト Joe RoganThe comedian and author discusses his novel Brut, the demands of touring and the value of creative work beyond online approval.Career GrowthPhilosophy
スライド 2 枚31:44EN
Theo - t3․gg· 2026年11月3日Theo on Improving Agent-Generated UI With Iterative ReviewsTheoA T3 Code experiment uses multiple model reviewers, screenshots and repeated changes to improve an interface, while exposing the limits of subjective scores.開発ワークフローとテストコーディングエージェント評価(Evals)+1
53:41EN
Silicon Valley Girl· 2026年11月3日Ethan Mollick on Entrepreneurship, AI Agents, and Preserving Human Judgmentゲスト Ethan Mollick · ホスト Marina MogilkoThe Wharton professor explains how to use AI as a managed collaborator while retaining the skills and choices that matter to you.AI agentsHuman-AI CollaborationEntrepreneurship+2
スライド 2 枚12:58EN
Matthew Berman· 2026年11月3日Matthew Berman on Building Personal Software With AIMatthew Berman · Forward FutureA homemade PDF reader leads Berman to argue that coding agents could make customized consumer software more accessible.コーディングエージェントOpen-source ecosystemsAI Product Management+1
スライド 2 枚16:51EN
AI Engineer· 2026年11月3日Cristóbal Valenzuela on Interactive Video Models and Runway’s ContinuumCristóbal Valenzuela · RunwayRunway’s co-founder traces next-frame prediction from early generated film to research prototypes for interactive visual interfaces.画像と動画World modelsGenerative media+2
スライド 4 枚19:42EN
AI Engineer· 2026年11月3日What Drives AI Agent Costs: Cache Hits, Input Tokens and TurnsGeorge Cameron · Artificial AnalysisArtificial Analysis co-founder George Cameron breaks down an agent benchmark and a framework for choosing models by cost and capability.AI cost & performanceInferenceKV caching & prefix reuse+2
12:25EN
Chris Williamson· 2026年11月3日ポッドキャスト · 2 人The Fat Electrician Tells the Story of Sergeant Reckless, the Korean War Horseゲスト The Fat Electrician · ホスト Chris WilliamsonChris Williamson and his guest swap stories about military animals, from Wojtek the bear to a Marine Corps horse.History
スライド 4 枚20:35EN
AI Engineer· 2026年11月3日Graph Engineering for Agents: Explicit Procedures, Memory and GovernanceZachary Blumenfeld · Neo4jNeo4j’s Zachary Blumenfeld describes three kinds of graphs and demonstrates a graph-shaped loan-review skill.エージェント工学Knowledge graphsAgent memory+2
1:08:18EN
Sources Podcast· 2026年11月3日ポッドキャスト · 2 人Alex Davis on Concentrated Investing, AI Compute, and Private-Market Riskゲスト Alex Davis · ホスト Alex HeathThe Disruptive investor explains his new fund, his approach to late-stage companies and his concerns about speculative infrastructure and private-market vehicles.Venture CapitalInvestingAI Strategy+1
36:45EN
The Builders· 2026年11月3日Garry Tan on YC Founders, Personal AI Agents and Open Marketsゲスト Garry Tan · ホスト Walter IsaacsonIn a June 2026 interview, the Y Combinator CEO discusses founder selection, AI’s effect on work and the risk of concentrated platform power.FoundersVenture CapitalPersonal agents+1
スライド 4 枚17:13EN
AI Engineer· 2026年11月3日How Factory Separates AI Agents from the Compute They Run OnNikhil Harithas · FactoryNikhil Harithas explains a proposed compute lifecycle layer, outbound relay and customer-controlled deployment for enterprise agents.エージェント工学インフラとデプロイエンタープライズ AI+2
スライド 2 枚51:52EN
SemiAnalysis· 2026年11月3日ポッドキャスト · 3 人How GDPx Tests Frontier AI: Inside SemiAnalysis’s New Benchmarkゲスト Max Kan, Andrew Megalaa · ホスト Jordan NanosThe team behind GDPx explains task quality, domain selection, grading and the trade-off between public scrutiny and private evaluations.Benchmarks評価(Evals)AI research+1
59:18EN
Cheeky Pint· 2026年11月3日ポッドキャスト · 2 人Scott Nolan on Rebuilding US Uranium Enrichment and the Cost of Nuclear Powerゲスト Scott Nolan · ホスト John CollisonThe General Matter CEO talks with John Collison about fuel supply, a planned Kentucky facility and lessons from SpaceX.EnergyEntrepreneurshipGeopolitics+1
スライド 2 枚34:48EN
Latent Space· 2026年11月3日ポッドキャスト · 2 人Zach Lloyd on the Infrastructure Behind a Software Factoryゲスト Zach Lloyd · ホスト Shawn Wang (swyx)Warp’s founder explains how teams can define, observe and improve agentic development workflows—and when the additional infrastructure may be excessive.コーディングエージェント開発ワークフローとテストAgent orchestration+2
スライド 4 枚15:50EN
Theo - t3․gg· 2026年11月3日Theo Compares Codex and Claude Subscription Value After Limit ChangesTheoTheo looks at estimated allowances, per-task costs and his own review experiments, while arguing that model quality remains decisive.コーディングエージェントOpenAIAI cost & performance
48:08EN
a16z· 2026年11月3日Andrew Huberman on Building a Sustainable Routine for Focus and HealthDaisy Wolf, Andrew Huberman · a16zThe neuroscientist describes his daily routine, his struggle with social media, and how he protects the hours when he does his best work.NeuroscienceProductivityWork-Life Balance
1:53:06EN
Theo Von· 2026年11月3日ポッドキャスト · 2 人Lindsay Owens on Price Experiments, Consumer Data and the Fight for Fair Pricesゲスト Lindsay Owens · ホスト Theo VonThe consumer advocate explains her investigations into changing prices and data-driven commerce, and what shoppers and lawmakers can do.Economics
スライド 4 枚16:29EN
AI Engineer· 2026年11月3日Why Retrieval Quality Matters for AI Agents Working with Large Document CollectionsAamir Shakir · MixedbreadMixedbread’s Aamir Shakir critiques a multi-stage retrieval pipeline and presents a customer case and multimodal search demo.Search & retrievalRAG とナレッジEmbeddings+2
スライド42:30EN
How I AI· 2026年11月2日ポッドキャスト · 2 人Inside Figma’s PM OS: Ezra Mechaber on Skills, Bug Bashes and Automated Experimentsゲスト Ezra Mechaber · ホスト Claire VoFigma growth PM Ezra Mechaber shows Claire Vo how a shared repository supports product work, browser testing and a human-reviewed experiment loop.AI Product ManagementProduct ManagementAI agents+2
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