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4,451 件
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56:00EN
a16z· 2026年10月27日ポッドキャスト · 3 人Joe Liemandt on Alpha School, AI, and Redesigning the School Dayゲスト Joe Liemandt · ホスト Erik Torenberg, Gagan BiyaniAlpha School's principal discusses two-hour academics, motivation, life skills, and how AI could change what students build.EducationAI StrategyEntrepreneurship
1:46:40EN
Latent Space· 2026年10月27日ポッドキャスト · 3 人Inside Anthropic’s Agent Infrastructure and Product Engineeringゲスト Katelyn Lesse, Angela Jiang · ホスト swyxKatelyn Lesse and Angela Jiang discuss managed agents, evaluations and sandbox design.Anthropicエージェント工学評価(Evals)
スライド 12 枚34:21EN
Matthew Berman· 2026年10月27日Matthew Berman Examines Anthropic’s IPO Filing, AI Growth and GovernanceMatthew Berman, Sam Altman · Forward FutureThe presenter reviews the S-1’s financial metrics, compute strategy and voting structure while questioning the tension between rapid AI development and safety.AnthropicAI Safetyエンタープライズ AI+2
スライド 5 枚36:07EN
Theo - t3․gg· 2026年10月27日Theo on Token Costs, Coding Agents, and the Price of AI CapabilityTheo Browne · Ping LabsA viral estimate of Lauren's AI spending prompts a closer look at cache pricing, benchmarks, and the changing work of coding agents.AI cost & performanceコーディングエージェントInference+1
1:11:27EN
Invest Like The Best· 2026年10月27日ポッドキャスト · 2 人Cliff Sosin: What Remains Valuable When AI Intelligence Gets Cheapゲスト Cliff Sosin · ホスト Patrick O'ShaughnessyThe investor explores the limits of prediction, the economics of AI infrastructure and the assets that may complement abundant intelligence.InvestingAI StrategyAI cost & performance+2
スライド 6 枚16:38EN
AI Engineer· 2026年10月27日Aiden Sochowski: Securing 300 Agents in a 60-Person CompanyAiden Sochowski · RunlayerRunlayer’s founding engineer explains what session monitoring revealed about agent permissions, prompt injection, tool errors and runaway cost.エージェント工学AI securityPrompt injection+2
スライド 4 枚55:06EN
SemiAnalysis· 2026年10月27日ポッドキャスト · 4 人Anthropic's S-1: Revenue, Compute Costs and the Race to ScaleThe SemiAnalysis panel examines Anthropic’s filing, from improving compute economics to customer concentration and competition.AI cost & performanceインフラとデプロイエンタープライズ AI+2
1:19:47EN
Cheeky Pint· 2026年10月27日ポッドキャスト · 3 人Scott Kirby on United’s Fleet Bet, Starlink and Airline Economicsゲスト Scott Kirby · ホスト John Collison, Ben ThompsonUnited Airlines CEO Scott Kirby explains how he thinks about investing through downturns, building technology and running an airline network.LeadershipCompany BuildingProduct Strategy+2
1:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年10月27日ポッドキャストGeorge Kurtz on How AI May Change Cyberattacksゲスト George KurtzThe CrowdStrike CEO describes his assessment of evolving threats.
42:06EN
The Builders· 2026年10月27日Dario and Daniela Amodei on Building Anthropic, AI Safety, and Human Meaningゲスト Dario Amodei, Daniela Amodei · ホスト Walter IsaacsonThe Anthropic co-founders discuss the roots of their partnership, the challenge of keeping AI systems honest, and the choices facing a world of more capable models.AnthropicAI Alignment安全性とガバナンス+2
スライド 5 枚29:40EN
How I AI· 2026年10月26日ポッドキャスト · 2 人How Reddit Proto Connects Design, Live Data and Production Codeゲスト Blair Metcalf · ホスト Claire VoBlair Metcalf demonstrates Reddit’s internal prototyping harness and its design-system mapping for Figma and Cursor.プロダクトと UXAI Product Management開発ワークフローとテスト+1
16:34EN
Latent Space· 2026年10月26日ポッドキャスト · 3 人Ian Quigley on Testing Scientific Agents in Premeasured Worldsゲスト Ian QuigleyLeash Bio’s Minos environments replay physical measurements so agents can explore medicinal chemistry decisions at scale.AI for scienceComputational Biology評価(Evals)+2
スライド 6 枚15:33EN
Jane Street· 2026年10月26日Figgie Strategy: Reading Hands, Winning Majorities and Pricing CardsBradley, Mike · Jane StreetJane Street traders Bradley and Mike analyze three games to show how private information, market competition and timing affect card prices.Decision MakingMathematicsFintech
スライド 10 枚56:01EN
AI Engineer· 2026年10月26日Xander Song on Evaluating Agents with Harbor and PhoenixXander Song · Arize AIArize AI engineer Xander Song explains how Harbor runs realistic agent tasks in isolated sandboxes, and how his team uses Phoenix to compare prompt changes, inspect trajectories, and test a SQL tool.評価とオブザーバビリティエージェント工学Sandboxes & isolation+2
スライド 4 枚22:33EN
GOTO Conferences· 2026年10月26日William Schor: From Unit Tests to Synthetic Canaries at NetflixWilliam Schor · NetflixHow generated workloads and production-like infrastructure help test a distributed key-value service.Software engineering
スライド 4 枚18:55EN
Citadel Securities· 2026年10月26日ポッドキャスト · 4 人Jeff Maurone on Citadel Securities’ Market Analytics and TechnologyThe technology COO describes tools for market positioning, credit spreads and client questions, and the research infrastructure behind them.金融 AIインフラとデプロイInvesting+2
スライド 7 枚1:05:44EN
Y Combinator· 2026年10月26日Marvin Schwaibold on AI-Powered Design, Interactive Prototypes and Better WebsitesAaron Epstein, Marvin Schwaibold · Y CombinatorShopify’s product design studio lead shows how he uses AI to build and refine interactions, then reviews six websites with Aaron Epstein.Product DesignAI interface designプロダクトと UX+1
スライド 3 枚3:34:27EN
Lex Fridman· 2026年10月26日ポッドキャスト · 4 人AI, Mathematics, and the Meaning of a Proofゲスト Steven Brunton, Ankur Moitra, Alex Kontorovich · ホスト Lex FridmanLex Fridman and three mathematicians discuss recent AI-generated research, hard open problems and what human understanding contributes.MathematicsAI for scienceAI research+2
スライド 7 枚19:43EN
AI Engineer· 2026年10月26日Jack Wotherspoon on Building a Team of Managed AgentsJack Wotherspoon · Google DeepMindGoogle DeepMind’s Jack Wotherspoon introduces Gemini Managed Agents: cloud sandboxes that let teams run coding and research agents with a single API call. He explains how persistent environments, reusable skills, proxy-injected credentials, schedules, and specialized agents fit together.エージェント工学Agent orchestrationSandboxes & isolation+2
スライド 9 枚53:04EN
AI Engineer· 2026年10月26日Fuad Ali: Building a Feedback Loop to Improve AI AgentsFuad Ali · Arize AIAn Arize workshop connects traces, failure datasets, evaluations, proposed fixes and experiments while keeping human judgment in the loop.エージェント工学評価(Evals)オブザーバビリティと信頼性+2
スライド 5 枚20:55EN
AI Engineer· 2026年10月26日Jesse Hall: Build Voice Agents for Conversations, Not LeaderboardsJesse Hall · LiveKitLiveKit’s Jesse Hall explains how to evaluate voice agents as real-time systems: understand callers, handle interruptions, keep talking while tools run, and measure the delay people actually hear.音声 AIエージェント工学評価(Evals)+2
45:34EN
Citadel Securities· 2026年10月26日ポッドキャスト · 2 人Henry Paulson on AI Risk, U.S.–China Relations and Crisis Leadershipゲスト Henry M. Paulson, Jr. · ホスト Jim EspositoThe former Treasury secretary discusses today’s economic risks and lessons from the 2008 financial crisis.LeadershipDecision MakingInvesting+2
スライド 5 枚30:37EN
Theo - t3․gg· 2026年10月26日Theo’s Three Skills for Reviewing and Shipping with Coding AgentsTheo Browne · Ping LabsHow sol-loop, full-send and full-stop encode review, verification and different levels of merge authority.Agent skillsコーディングエージェントCode review & verification+2
スライド 8 枚18:27EN
AI Engineer· 2026年10月26日Daksh Gupta on Building a Better AI Code Review AgentDaksh Gupta · GreptileGreptile co-founder Daksh Gupta explains why a webhook plus a coding agent is not enough for reliable pull-request review—and how targeted prompts, incident data, model inversion, codebase context, browser testing, and task-specific model routing can help.Code review & verification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
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