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スライド 4 枚15:32EN

AI Engineer· 2026年11月5日Emil Chetty on Letting Payment Agents Act Within Customer-Approved BoundariesEmil Chetty · WiseWise’s data and AI product lead describes an immutable job agreement that lets agents choose steps while trusted payment services enforce customer authorization.エージェント認証AI securityFintech+1

39:31EN

SOTA Wives· 2026年11月5日ポッドキャスト · 3 人Thariq Shihipar on Closing a Startup and Leaving AnthropicSCVMTSゲスト Thariq Shihipar · ホスト Sarah Chieng, Vivian Midha ShenThe former Claude Code engineer joins SOTA Wives to discuss fundraising, AI labs, content and the social world around technology.Company BuildingAI startups & small teamsコーディングエージェント+2

22:01EN

Reid Hoffman· 2026年11月5日ポッドキャスト · 2 人Reid Hoffman on the Midterms, Political Donations and Tech’s Public ResponsibilitiesAFRHホスト Aria Finger, Reid HoffmanHoffman and Aria Finger discuss their interpretation of Democratic gains, campaign finance and the bargain between data centers and communities.Political Philosophy

1:11:45EN

Chris Williamson· 2026年11月5日ポッドキャスト · 2 人David Geary on Conflict, Cooperation and Human EvolutionCWDGゲスト David Geary · ホスト Chris WilliamsonAn evolutionary psychologist presents his account of group conflict, status and human cognition; several claims remain contested.EvolutionPsychologyNeuroscience+1

50:11EN

a16z· 2026年11月5日How Figma’s Finance Team Uses AI to Build and AutomateSeema Amble, Ivan Makarov, Praveer Melwani · Andreessen HorowitzCFO Praveer Melwani discusses finance workflows, human judgment, shared systems and the skills his team needs.金融 AIWorkflow automationエンタープライズ AI+2

13:22EN

AI Engineer· 2026年11月5日How Brainbase Improved a Competitor-Pricing Agent from 41% to 97%Milind Sunil Shah · BrainbaseMilind Sunil Shah describes an iterative workflow for collecting and evaluating competitor prices with a back-office agent.エージェント工学評価（Evals）Workflow automation

32:01EN

Sequoia Capital· 2026年11月5日Ronak Malde on Continual Learning from Real-World Agent TracesPat Grady, Lauren Reeder, Ronak Malde · Sequoia CapitalTrajectory’s co-founder explains its training platform, two research directions and his vision for adapting models to company-specific work.Continual learningReinforcement Learning評価（Evals）+2

スライド18:14EN

Dwarkesh Patel· 2026年11月5日ポッドキャストDwarkesh Patel: Testing AI Deception and Reasoning in Blood on the ClocktowerDPA 368-game social deception benchmark reveals elaborate AI schemes, improvements in evidence evaluation, and questions that remain open.BenchmarksAI agents評価（Evals）+2

スライド 4 枚19:53EN

Matthew Berman· 2026年11月5日AI News: Kimi K3.1 Weights, Computer Use and Specialized Open ModelsMatthew Berman · Forward FutureMatthew Berman reviews a week of model releases, from desktop agents and scientific workflows to image, video and speech tools.Open-weight modelsAI agentsComputer use+2

1:05:23EN

Conversations with Tyler· 2026年11月4日ポッドキャスト · 2 人Tyler Cowen and Richard Hanania Read Nostromo, Then Debate Politics and MediaTCRHゲスト Richard Hanania · ホスト Tyler CowenThe two readers disagree over Conrad’s characters and political vision before discussing crime, Shakespeare and the information environment.Political PhilosophyHistoryGeopolitics

スライド 4 枚26:47EN

Matthew Berman· 2026年11月4日What Weight-Space Programming Experiments Show—and Their LimitsMatthew Berman · Forward FutureMatthew Berman reviews experiments in which a frontier model reads, repairs and writes other networks’ weights, from small game policies to a targeted language-model edit.AI researchモデルと学習評価（Evals）+1

3:19:24ZH

罗永浩的十字路口· 2026年11月4日ポッドキャスト · 2 人叶洪新与罗永浩：从飞行器、滑板车到徕芬的产品之路罗叶ゲスト 叶洪新 · ホスト 罗永浩徕芬创始人回顾早年创业、硬件研发与融资挫折，并讨论品牌、产品管理和海外扩张。Product StrategyCompany Buildingプロダクトと UX+1

50:15EN

a16z· 2026年11月4日AI Assistants That Shop, Remember and Connect PeopleAnish Acharya, Josh Elman, David Pawlan · a16zDavid Pawlan joins Anish Acharya and Josh Elman to compare personal agents, explore trust and discuss what social and shopping assistants might become.AI agentsプロダクトと UX安全性とガバナンス

0:15ES

Shira Lazar· 2026年11月4日ポッドキャストUn apretón de manos prolongado con Jon OssoffShira Lazar y el senador Jon Ossoff convierten un apretón de manos en un breve chiste visual.Lifestyle

スライド 2 枚44:42EN

GOTO Conferences· 2026年11月4日Adam Tornhill on AI-Friendly Code and Sustainable Agentic DevelopmentAdam TornhillAgentic coding can accelerate delivery, but complexity can erase the gains. Adam Tornhill presents code-health research and a large-scale refactoring case study.Software engineeringコーディングエージェント開発ワークフローとテスト+1

1:14:57EN

Invest Like The Best· 2026年11月4日ポッドキャスト · 2 人Martin Casado on AI Infrastructure, Venture Investing, and Strategic AcquisitionsPOMCゲスト Martin Casado · ホスト Patrick O’ShaughnessyThe a16z investor explains his framework for disruptive technology, why AI changes the role of capital, and what he looks for in strategic deals.Venture CapitalAI Strategyインフラとデプロイ+2

スライド 3 枚14:15EN

AI Engineer· 2026年11月4日How Ramp Applies Smaller Models, KV-Cache Cartridges and Agent SwarmsAlexander Shevchenko · RampAlexander Shevchenko explains three applied research projects that trade latency and cost against task-specific accuracy and operational complexity.AI agentsモデルと学習AI cost & performance+1

15:12EN

AI Engineer· 2026年11月4日Dillon Rolnick on AI Vendor Lock-In and Open Agent FoundationsDillon Rolnick · Nous ResearchThe Nous Research CEO argues that businesses should retain control over their agent stack, presenting his company’s Hermes Agent as one option.AI agentsOpen-weight models企業と戦略+1

1:12:24EN

Latent Space· 2026年11月4日ポッドキャスト · 2 人Behind Latent Space: swyx and Galen Gao on AI Engineers, SaaS, and ShanghaiGGSWゲスト Shawn Wang (swyx) · ホスト Galen GaoShawn Wang and Galen Gao trace the growth of the AI Engineer community and discuss what coding agents mean for small businesses.AI StrategyAI agents開発ワークフローとテスト+2

スライド51:06EN

GOTO Conferences· 2026年11月4日Kent Beck on AI Coding, the Forest, and Human NeedsKent BeckAI amplifies the conditions in which software teams work. Kent Beck argues for preserving future options and designing tools around human needs.Software engineeringコーディングエージェントDeveloper productivity+1

スライド 3 枚18:50EN

AI Engineer· 2026年11月4日Pim de Witte on Training Visual Action Models with Video GamesPim de Witte · General IntuitionThe General Intuition founder describes using game recordings and controller actions to train systems intended for both computer use and robotics.AI researchモデルと学習AI agents

スライド 5 枚19:12EN

AI Engineer· 2026年11月4日Why AI Agents Need Reliable Processes to Scale Across a CompanyMitchell Troyanovsky · BasisBasis co-founder Mitchell Troyanovsky explains behavior specifications, trajectory forks and simulations for production agents.エージェント工学評価（Evals）エンタープライズ AI+2

スライド 3 枚42:39EN

SemiAnalysis· 2026年11月4日ポッドキャスト · 4 人How the Midterms Could Reshape the 2028 Data Center BuildoutJNMBWMJEゲスト Maya Barkin, Wayne Ma, Jeremie Eliahou Ontiveros · ホスト Jordan NanosSemiAnalysis examines permitting, grid costs and the local backlash behind a more uncertain US data center pipeline.インフラとデプロイEnergyAI cost & performance

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 DelegateNQKR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

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