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6,114 件
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1:07:12EN
Hard Fork· 2026年11月6日ポッドキャスト · 4 人Hard Fork on the Midterms, AI Backlash and Tech Political Spendingゲスト Erin Griffith, Ezra Klein, Theodore Schleifer · ホスト Max ReadMax Read, Ezra Klein, Erin Griffith and Theodore Schleifer discuss data-center opposition and the limits of billionaire campaign spending.AI RegulationGeopoliticsAI Strategy+2
2:18:31EN
PowerfulJRE· 2026年11月6日ポッドキャスト · 2 人Calley Means on Leaving the White House and Lobbying in Health Policyゲスト Calley Means · ホスト Joe RoganThe former adviser describes internal health-policy disputes and calls for campaign-finance reform; the interview contains contested medical and political claims.Public Health
11:04EN
Chris Williamson· 2026年11月6日ポッドキャスト · 2 人Chris Williamson Discusses the Political Divide Between Young Men and Womenホスト Chris WilliamsonWilliamson and an unnamed guest discuss survey patterns, party representation and working-class concerns.Political Philosophy
29:42EN
GOTO Conferences· 2026年11月6日Artie Shevchenko and Titus Winters on Code Health in the AI EraTitus Winters, Artie Shevchenko · AdobeThe authors discuss complexity, human review, testing and why interfaces and state deserve attention in AI-assisted development.Software engineering開発ワークフローとテストコーディングエージェント+1
スライド42:14EN
Theo - t3․gg· 2026年11月6日Theo Browne on How Claude Code Reviews Its Own ChangesTheo Browne · Ping LabsTheo compares Anthropic’s layered review process with T3 Code, highlighting verification, rollback and stopping rules for agent review.コーディングエージェントSoftware engineering評価(Evals)
スライド 2 枚14:58EN
AI Engineer· 2026年11月6日Sparsh Jain on Building Experiential Memory for AI AgentsSparsh Jain · CentralAgent AIAn agent-memory lifecycle forms, updates and retrieves lessons while evaluation loops manage changing context.AI agentsエージェント工学コンテキストエンジニアリング+2
1:46:03EN
Theo Von· 2026年11月6日ポッドキャスト · 2 人Caleb Followill on Family, Fame and Finding His Way Back to Musicゲスト Caleb Followill · ホスト Theo VonThe Kings of Leon frontman talks with Theo Von about a traveling childhood, the band’s rise and learning to enjoy performing again.Personal Growth
47:14EN
Y Combinator· 2026年11月6日Blake Scholl on Supersonic Flight and the Turbines That Could Fund ItJessica Livingston, Carolynn Levy, Blake SchollThe Boom founder explains an engine partnership setback, boomless flight physics, and a proposed power-generation business.EnergyEntrepreneurship
50:37EN
Latent Space· 2026年11月6日ポッドキャスト · 2 人Adit Abraham on Why Document Parsing Still Breaks AIゲスト Adit Abraham · ホスト Allen ParkThe Reducto co-founder discusses missing table rows, production evaluation, document editing and growing a company while making a steak sandwich.AI agents評価(Evals)Company Building
スライド 5 枚17:27EN
AI Engineer· 2026年11月6日Philipp Schmid: Seven Things an AI Coworker NeedsPhilipp Schmid · Google DeepMindA walkthrough of managed agents, skills, credentials and controls, culminating in a scheduled portfolio-audit demo.エージェント工学Geminiエージェント認証+2
スライド 2 枚18:13EN
AI Engineer· 2026年11月6日Sid Pednekar: Judgment Is the Scarce Resource in AI AdoptionSid PednekarA framework for choosing valuable problems, building shared capabilities and turning experience into organizational learning.AI AdoptionDecision MakingAI Strategy+1
スライド 2 枚14:04EN
AI Engineer· 2026年11月6日Frank Long on Building AI Investment Workflows Around QualityFrank Long · CoatueCoatue’s Frank Long breaks investing into information, analysis and decision steps, and argues for choosing the right combination of code, models and people.AI agentsInvestingエージェント工学+2
16:17EN
Claude· 2026年11月6日How Salesforce doubled effective coding output with Claude CodeBoris Cherny, Muralidhar Krishnaprasad, Richard Pack · AnthropicSalesforce describes how it measures AI-assisted work, trains engineers to use agents, and checks the resulting code for defects.AI エンジニアリングのリーダーシップAgent skillsCode review & verification+2
50:50EN
Latent Space· 2026年11月6日ポッドキャスト · 3 人Fabian Theis on Virtual Cells, Organoids and Closing the Lab Loopゲスト Fabian Theis · ホスト RJ Honicky, Brandon AndersonThe Helmholtz Munich researcher explains perturbation models, biological benchmarks and the work required to connect prediction with experiments.AI for scienceComputational BiologyDeep Learning+2
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 Trading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 review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 Platforms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 Reliability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
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