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6,152 件
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スライド 3 枚15:28EN
AI Engineer· 2026年11月9日Ryan Carson: One manager agent coordinates 20 coding agentsRyan Carson · UntangleUntangle delegates coding, review and merge coordination to agents, but its founder watches each feature before approving shipment.Agent orchestrationコーディングエージェント開発ワークフローとテスト+2
スライド 4 枚1:50:34EN
AI Engineer· 2026年11月9日A financial AI agent must show its workFrancesco Galletta, Felippe Felisola Caso · MonzoA wedding-budget demo pairs tested calculations with evidence, decision gates and independent checks.Harness engineeringAI agentsPersonal Finance+2
スライド 8 枚19:50EN
AI Engineer· 2026年11月9日Keiji Kanazawa rebuilt his agent system after reading its codeKeiji Kanazawa · MicrosoftA three-week refactor produced fake agents and expensive tests. He rebuilt around explicit goals and evaluations.コーディングエージェント評価(Evals)エージェント工学+2
スライド 4 枚20:51EN
AI Engineer· 2026年11月9日Jason Mancuso: Scaling agent reinforcement learning across mixed GPUsJason Mancuso · ModalModal combines asynchronous rollouts, mismatch corrections and compressed weight updates to train coding agents across a fragmented GPU fleet.エージェント工学モデルと学習インフラとデプロイ
スライド 4 枚24:47EN
How I AI· 2026年11月9日ポッドキャストClaire Vo: Fable 5.2 excels at creative builds, but not every designA marketing animation, furniture guide and 3D typewriter impressed Vo; independently generated website designs did not.Foundation ModelsコーディングエージェントGenerative media+2
スライド 4 枚24:18EN
Matthew Berman· 2026年11月9日Fable 5.2 built playable demos—but several cost thousandsMatthew Berman · Forward FutureMatthew Berman shows games, creative software and simulations, with estimated API costs from $25 to $15,000.コーディングエージェントFoundation ModelsAI cost & performance+2
スライド 7 枚18:32EN
AI Engineer· 2026年11月8日Why a plausible contract analysis missed $800,000Natalia Connolly, Kevin Madura · AlixPartnersAlixPartners’ Natalia Connolly and Kevin Madura show how missing links, renewal clauses and silent access errors can derail an AI procurement analysis.エージェント工学エンタープライズ AIData quality & curation+1
スライド 3 枚23:15EN
Latent Space· 2026年11月8日ポッドキャスト · 2 人Jay Parikh: GitHub must adapt as coding agents change developmentゲスト Jay Parikh · ホスト Shawn WangGitHub's scale, model choices and security are changing as agents join developers, says Microsoft CoreAI's Jay Parikh.コーディングエージェント開発ワークフローとテストインフラとデプロイ+2
58:33EN
Lenny's Podcast· 2026年11月8日ポッドキャスト · 2 人Gemini’s product chief on testing models and building ahead of themゲスト Tulsee Doshi · ホスト Lenny RachitskyTulsee Doshi explains a small-eval starting point, her 60-20-20 product framework and why model behavior itself is a user experience.Product ManagementFoundation Models評価(Evals)+2
46:40EN
Peter Yang· 2026年11月8日ポッドキャスト · 2 人Ashley Alexander: How AI Helps Me Care for My Parents With Cancerゲスト Ashley Alexander · ホスト Peter YangA caregiver uses AI to prepare for appointments, organize records and ask better questions—while keeping doctors at the center of treatment.AI in healthcareHuman-AI CollaborationProductivity
12:38EN
Chris Williamson· 2026年11月8日ポッドキャスト · 2 人What makes AI-generated work feel like slop?ホスト Chris WilliamsonChris Williamson and his guest ask creators to explain their judgments, and to distinguish a tool’s defaults from intentional craft.CreativityGenerative mediaHuman-AI Collaboration
スライド 6 枚18:56EN
AI Engineer· 2026年11月8日How Citadel Securities builds a memory that catches troubled projectsJoao Wenzel · Citadel SecuritiesJoao Wenzel describes an agent system that weighs evidence, tracks aging facts and tests its warnings against what happened next.エージェント工学エンタープライズ AI評価(Evals)+2
スライド 7 枚18:39EN
AI Engineer· 2026年11月8日How Ramp tests a bookkeeping agent before and after launchRyan Stevens · RampRyan Stevens explains synthetic businesses, all-or-nothing scoring, skill ablation and a two-period test for agent memory.評価(Evals)エージェント工学エンタープライズ AI
スライド 5 枚16:09EN
AI Engineer· 2026年11月8日How Range’s financial planners built their own AI workflowsMatt Ragone · RangeMatt Ragone’s team used real cases and existing advice standards to build skills, while keeping a certified planner’s review before client delivery.エージェント工学エンタープライズ AIWorkflow automation+1
スライド 6 枚20:28EN
AI Engineer· 2026年11月8日Why AI coding gains depend on more than faster code generationMartin Harrysson, Prakhar Dixit · McKinseyMcKinsey speakers describe smaller teams, shorter loops, curated context and quality checks observed among enterprise clients.Developer productivityエージェント工学Software engineering+1
スライド 6 枚1:21:42EN
Y Combinator· 2026年11月8日What AI biology can do now, from cancer data to DNA designAlfredo Gonzalez, Yusuf Roohani, Garyk Brixi, Divya NoriFour researchers explain patient-specific cancer analysis, virtual cells and genome models, separating early experiments from proposed clinical applications.AI for scienceDrug DiscoveryFoundation Models+1
スライド 3 枚31:22EN
AI Engineer· 2026年11月7日Nouha Dziri on Making Coding-Agent Teams More Cost-EfficientNouha Dziri · CohereExperiments on ProgramBench and Commit0 show why the task bottleneck, lead model and coordination design matter more than simply adding agents.Multi-agent systemsコーディングエージェントAgent orchestration+2
スライド 2 枚20:08EN
Matthew Berman· 2026年11月7日METR Finds Faster AI Research at Anthropic, With Major UncertaintyMatthew Berman · Forward FutureMatthew Berman examines an independent assessment of AI-assisted R&D and the limits on its access to evidence.AI researchAI Safety評価(Evals)+1
スライド 3 枚19:34EN
AI Engineer· 2026年11月7日How Cloud Agents Help Review Changes to a Security MasterAmol Kapoor, Clifford Ressel · Nori AgenticAmol Kapoor and Clifford Ressel explain why private-asset data is difficult to reconcile and how an agent assists human reviewers.金融 AIData quality & curationエージェント工学+2
57:17EN
20VC with Harry Stebbings· 2026年11月7日ポッドキャスト · 2 人Scott Wilson on WashU’s Endowment, Concentration and Co-Investingゲスト Scott Wilson · ホスト Harry StebbingsWashU’s CIO explains its manager relationships, direct investments, liquidity constraints and views on private-market valuations.InvestingVenture CapitalDecision Making+2
スライド 4 枚13:27EN
AI Engineer· 2026年11月7日A Financial Agent Must Show How It Reached Its DecisionAnirudh Veeraragavan · FieldguideAnirudh Veeraragavan uses a bank reconciliation to show how to make an agent’s work reviewable.エージェント工学評価(Evals)安全性とガバナンス
18:09EN
PragerU· 2026年11月7日Owen Anderson Discusses His ASU Training LawsuitShabbos Kestenbaum, Owen Anderson · PragerUThe professor describes his challenge to diversity training and a separate dispute over his courses; ASU disputes his discrimination allegations.EducationFree SpeechReligion+1
スライド 4 枚17:35EN
AI Engineer· 2026年11月7日Agent Infrastructure Needs Persistent State and Elastic ComputeAkshat Bubna · ModalModal CTO Akshat Bubna explains how sandboxes, shared storage and network controls support agents at scale.Sandboxes & isolationエージェント工学インフラとデプロイ+1
1:26:17EN
Cognitive Revolution "How AI Changes Everything"· 2026年11月7日ポッドキャスト · 5 人AI Forecasts, GPU Markets and the Question of What to Buildゲスト Brian Zhou, Mike San Miguel, Bryan Bischof · ホスト Nathan Labenz, Prakash NarayananNathan Labenz and Prakash Narayanan examine AI acceleration through election forecasting, compute trading and venture research.AI research評価(Evals)インフラとデプロイ+2
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