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11 件
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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 8 枚15:27EN
AI Engineer· 2026年10月25日What AI Engineers Do Now: Build the Loop Around AgentsAparna Dhinakaran · Arize AIAparna Dhinakaran argues that AI engineers are moving from shipping individual features to building systems that let agent teams improve them. At Arize, that means tracing agent behavior, evaluating its work against human judgment, and feeding those signals back into an always-on agent.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 7 枚19:37EN
AI Engineer· 2026年10月25日Jay Sahnan and Arik Bird on Building Financial Agents for the Whole WebJay Sahnan, Arik Bird · BrowserbaseBrowserbase’s Jay Sahnan and Arik Bird show how browser agents reach financial data hidden behind logins and bot defenses. Their Ramp, Bill, and Stripe examples connect reliable cloud browsers with Stagehand’s more adaptive controls.エージェント工学Computer useWorkflow automation+2
27:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年4月3日ポッドキャスト · 2 人Nasdaq Down 8% and Ghibli Everywhere: AI Is Already in Inning Threeホスト Sarah Guo, Elad GilSarah Guo and Elad Gil on the latest image-gen wow cycle, why public-market panic is mostly noise for software startups, and where specialized models still have room.企業と戦略AI StrategyGenerative media+3
23:37EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年1月9日ポッドキャスト · 2 人A Hundred GPUs in Seconds: Why Modal Threw Out Docker and Kubernetesホスト Sarah Guo, Elad GilErik Bernhardsson tells Elad Gil that AI inference is too bursty for year-long GPU contracts, and that the cloud should feel as fast as a laptop.インフラとデプロイInferenceAI cost & performance+3
27:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年12月26日ポッドキャスト · 2 人After adding $100 billion a month, Jensen Huang says NVIDIA is selling the data centerホスト Sarah Guo, Elad GilSarah Guo and Elad Gil clip their favorite 2024 No Priors conversations into a year-end reel of NVIDIA, Karpathy, Sierra, Sora, Waymo, Figma, and Scale.企業と戦略AI Strategyインフラとデプロイ+3
29:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年5月9日ポッドキャスト · 2 人The Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power Plantホスト Sarah Guo, Elad GilSarah Guo and Elad Gil walk through music models, on-device LLMs, long context, and why AI capex now sits beside oil and broadband.インフラとデプロイAI cost & performanceコンテキストエンジニアリング+3
26:02EN
Lex Fridman· 2020年2月9日ポッドキャストMoore’s Law Is Not Dead—It Is a Cascade of S-Curvesホスト Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.インフラとデプロイSemiconductorsScaling Laws+3
23:57EN
No Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Chips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI Boomホスト Sarah Guo, Elad GilThe hosts answer listener questions on the GPU crunch, how soon enterprises will ship AI products, how to build agents, and what 2024 holds for tech valuations.企業と戦略インフラとデプロイAI cost & performance+3
15:43EN
Lex Fridmanポッドキャスト · 2 人Inside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Studyゲスト MIT-AVT · ホスト Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.Autonomous DrivingインフラとデプロイMultimodal AI+2
17:19EN
Lex Fridmanポッドキャスト · 2 人From Atoms to Data Centers: How a Modern Processor Finds Parallelism in a Serial Programゲスト Jim Keller · ホスト Lex FridmanJim Keller walks through the layers of abstraction in computer design, from transistors to out-of-order execution, branch prediction and deterministic answers.インフラとデプロイGPU programming & kernels