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4,845 件
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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
スライド 2 枚16:48EN
Nathan Lambert· 2026年11月2日Nathan Lambert on How Open Models Can Compete With Frontier LabsNathan Lambert · Allen Institute for AIOpen models are gaining use and closing capability gaps, but their builders need a sustainable economy and advantages beyond price.Open-weight modelsAI cost & performanceAI Strategy+1
1:37:08EN
Machine Learning Street Talk· 2026年11月2日ポッドキャスト · 2 人Joscha Bach on Consciousness, Causal Patterns and Machine Mindsゲスト Joscha Bach · ホスト Tim ScarfeA discussion of a speculative machine-consciousness hypothesis, the limits of behavioral tests and competing accounts of mind.ConsciousnessPhilosophy of MindCognitive Science+1
スライド 2 枚16:46EN
Theo - t3․gg· 2026年11月2日Theo Browne on Claude Ultra, Five-Hour Limits and SDK UsageTheo Browne · Ping LabsA breakdown of the renamed subscription tier, verification and reported differences between interactive and SDK usage.コーディングエージェントDeveloper productivity開発ワークフローとテスト
1:43:15EN
Chris Williamson· 2026年11月2日ポッドキャスト · 2 人Joe Hudson on Decisions, Fear and Living by Your Principlesゲスト Joe Hudson · ホスト Chris WilliamsonCoach Joe Hudson joins Chris Williamson to explore indecision, emotional avoidance, personal principles and the value of learning through action.Decision MakingPsychologyPersonal Growth+2
スライド 4 枚15:51EN
AI Engineer· 2026年11月2日Adam Nahari: Six Moves to Turn AI Pilots Into Financial ImpactAdam Nahari · ApolloAn airline crew-scheduling example shows why financial outcomes depend on workflow redesign, adoption and disciplined measurement.エンタープライズ AI企業と戦略Productivity
1:01:08EN
Unsupervised Learning: With Jacob Effron· 2026年11月2日ポッドキャスト · 2 人Nebius CTO Danila Shtan on AI Clouds, Inference and Competition with Hyperscalersゲスト Danila Shtan · ホスト Jacob EffronDanila Shtan tells Jacob Effron how Nebius builds AI infrastructure, where inference remains inefficient and why he expects larger clouds to compete more aggressively.インフラとデプロイInferenceDistributed training & inference+2
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