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Matthew Berman昨日 +1No Priors: AI, Machine Learning, Tech, & Startups昨日 +1AI Engineer昨日 +1Hard Fork昨日 +1GOTO Conferences昨日 +1a16z昨日 +1OpenAI昨日 +1Bloomberg Live昨日 +11Chris Williamson昨日 +1Claude昨日 +1

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スライド 2 枚1:04:32EN

Stanford Online· 2026年11月6日How particle filter SLAM separates a robot’s path from its mapMarco Pavone · Stanford UniversityMarco Pavone derives the conditional independence that makes a particle-based mapping algorithm practical.Robotics機械学習の基礎

スライド 3 枚17:52EN

AI Engineer· 2026年11月5日Cameron Wolfe on Evaluating AI When Answers Are SubjectiveCameron Wolfe · NetflixNetflix’s Cameron Wolfe outlines human review, calibrated model judges and production monitoring as a repeatable evaluation loop.評価（Evals）評価とオブザーバビリティ人による検証（HITL）+2

54:08EN

No Priors: AI, Machine Learning, Tech, & Startups· 2026年11月5日ポッドキャスト · 2 人Vlad Tenev on Ownership, Tokenization and AI TradingSGVTゲスト Vlad Tenev · ホスト Sarah GuoRobinhood’s CEO discusses his vision for wider asset ownership, mathematical AI and agentic finance with Sarah Guo.FintechInvestingCryptocurrency+2

42:06EN

硅谷101· 2026年11月5日Data-Center Power, Financing and Compute: A Panel with Yixing Xu, Alex Yeh and Bruce Liuゲスト Yixing Xu, Alex Yeh, Bruce Liu · ホスト Christina XuBuilders and an investor discuss transmission constraints, delivery delays, lease mismatches and the economics of selling compute.インフラとデプロイEnergyAI cost & performance+2

25:32EN

Masters of Scale· 2026年11月5日ポッドキャスト · 2 人Demis Hassabis warns against AI self-improvement without human reviewRHDHゲスト Demis Hassabis · ホスト Reid HoffmanThe Google DeepMind co-founder calls for stronger engineering, shared safety standards and broader debate about AI consciousness.AI SafetyAI researchAI Regulation+1

1:19:29EN

The Pragmatic Engineer· 2026年11月5日ポッドキャスト · 2 人Scaling Slack and GitHub: Maude Lemaire on Load, Shards and Reliable PlatformsGOMLゲスト Maude Lemaire · ホスト Gergely OroszThe principal engineer explains a Slack data migration, realistic load testing, GitHub’s shard constraints and her approach to AI-assisted performance work.インフラとデプロイSoftware engineeringオブザーバビリティと信頼性+1

41:02EN

Theo - t3․gg· 2026年11月5日Theo on PewDiePie’s Local AI Project, Training Data and Model SafetyTheo, PewDiePieA reaction to the Ajax and Odysius project becomes a discussion of opt-in data, agent traces, fine-tuning and local model tradeoffs.Local inferencePost-trainingAgent orchestration+2

20:45EN

AI Engineer· 2026年11月5日John Stecher and Scott Worland on Building AI Systems That Can ChangeScott Worland, John Stecher · Norm AIThe Blackstone and Norm AI CTOs discuss data strategy, evaluations, production controls and when to wait for a better model.エンタープライズ AI評価（Evals）エージェント工学+1

23:55EN

Silicon Valley Girl· 2026年11月5日Susan Wojcicki’s Family on Her Life and Lung-Cancer Researchゲスト Dennis Troper, Esther Wojcicki, Anne Wojcicki, Janet Wojcicki · ホスト Marina MogilkoHer family remembers her priorities as a mother and leader and discusses the foundation’s goals for research and earlier detection.Public HealthAI in healthcareLeadership+1

1:01:05EN

Unsupervised Learning: With Jacob Effron· 2026年11月5日ポッドキャスト · 2 人Diogo Almeida on Decision Models, Benchmark Fatigue and Agent ReliabilityJEDAゲスト Diogo Almeida · ホスト Jacob EffronThe creator of Jev discusses structured decisions, model evaluation and the practical problems of building with AI agents.エージェント工学評価（Evals）Software engineering+2

2:16:39EN

PowerfulJRE· 2026年11月5日ポッドキャスト · 2 人Gregory Forth on Flores Fossils and Reports of Humanlike BeingsJRGFゲスト Gregory Forth · ホスト Joe RoganThe anthropologist discusses fieldwork, local traditions and a disputed hypothesis about a surviving hominin.EvolutionHistoryScience Communication

スライド 4 枚52:36EN

AI Engineer· 2026年11月5日Kim Maida and Mason Egger: Secure Agent Access and Durable ExecutionKim Maida, Mason Egger · KeycardAn expense-approval workshop combines per-call OAuth token exchange with Temporal workflows that recover after a worker fails.エージェント認証AI securityAI agents+2

スライド 2 枚42:40EN

GOTO Conferences· 2026年11月5日Daniel Terhorst-North: Use Generative AI to Go Broader, Not Just FasterDaniel Terhorst-North · Dan North & AssociatesA software practitioner shares how an AI-assisted teaching toolkit led him to “adjacent engineering,” larger test-first steps and external guardrails.Software engineeringHuman-AI Collaboration開発ワークフローとテスト+1

1:43:54EN

Cognitive Revolution "How AI Changes Everything"· 2026年11月5日ポッドキャスト · 2 人Joshua Monrad on AI, Biosecurity and Building Layers of DefenseNLJMゲスト Joshua Monrad · ホスト Nathan LabenzSentinel Bio’s co-founder discusses uncertain AI-related biological risks, practical safeguards and the long work of global resilience.BiosecurityAI Safety安全性とガバナンス+2

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

1:08:33EN

20VC with Harry Stebbings· 2026年11月5日ポッドキャスト · 3 人Harry Stebbings, Jason Lemkin and Rory O’Driscoll on AI valuations, agent economics and venture exitsHSJLROゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsThe investors debate pricing pressure on model providers, the threat agents pose to platforms, and how venture returns depend on large acquisitions.Venture CapitalAI StrategyInvesting

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 7 枚1:47:01EN

Stanford Online· 2026年11月5日How LLM systems fit large models into hardware and serve them fasterAfshine Amidi, Shervine Amidi · Stanford UniversityAfshine and Shervine Amidi explain FlashAttention, distributed training and inference optimizations from memory movement to speculative decoding.InferenceDistributed training & inferenceFoundation Models

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

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