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슬라이드 7장19:43EN
AI Engineer· 2026년 10월 26일Jack 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.에이전트 엔지니어링Agent orchestrationSandboxes & isolation+2
1:03:05EN
20VC with Harry Stebbings· 2026년 10월 17일팟캐스트 · 2명Harrison Chase on Building Reliable Agents, Model Routing and Memory게스트 Harrison Chase · 진행자 Harry StebbingsThe LangChain co-founder explains why agents remain difficult to control, where domain expertise matters, and how his team manages coding-agent costs.AI agentsAgent orchestration평가(Evals)+2
슬라이드 2장17:37EN
MBMatthew Berman· 2026년 10월 10일AI Coding, Game Mashups and the Value of Human TasteMatthew Berman · Forward FutureMatthew Berman explains decompilation and game mashups, then argues that iterative AI coding changes software and creativity.코딩 에이전트Software engineeringCreativity+1
1:04:26EN
Sequoia Capital· 2026년 10월 6일팟캐스트At 100,000 Accelerators, Something Fails Every HourGoogle AI infrastructure chief Amin Vahdat tells Sequoia's Sonya Huang why FLOPS is a vanity metric, why the TPU line split in two, and why he would rather wait on a utility than build his own gigawatt.인프라와 배포AI cost & performanceInference+3
45:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 9월 10일팟캐스트 · 2명76% of Agentic Commerce Is Under 30 Cents — So Coinbase Is Banking the AIs진행자 Sarah Guo, Elad GilBrian Armstrong tells Elad Gil how Coinbase became an everything exchange, why card networks cannot price agent-to-agent payments, and what his longevity company is taking into the clinic.에이전트Agentic commerce금융 AI+3
34:30EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 7월 31일팟캐스트 · 2명Netic's Agents Answer the Phone When the Heat Breaks진행자 Sarah Guo, Elad GilFounder Melisa Tokmak tells Elad Gil how a two-year-old platform became the AI operations layer for HVAC, roofing, pet care, and other essential services.기업과 전략음성 AIWorkflow automation+3
48:55EN
Sequoia Capital· 2026년 7월 14일팟캐스트Anthropic's Platform Grew Three Layers in a Year — and Tokens Now Have JobsKatelyn Lesse and Angela Jiang tell Sequoia's Training Data how Anthropic went from a stateless Messages API to knowledge, execution, and coordination — without trying to own the servers.에이전트에이전트 엔지니어링Agent orchestration+3
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 1일팟캐스트From 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can Explore진행자 Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.기업과 전략파인튜닝Agent orchestration+3
41:20EN
Sequoia Capital· 2026년 6월 10일팟캐스트A $4 Million Cabinet and a Trillion-Dollar Year: Jensen Huang Turns the AI Factory Into a Manufacturing StoryOn Sequoia's Training Data stage, NVIDIA's CEO walks a sixty-country audience from ChatGPT's parlor tricks to agentic work, a five-layer industrial cake, and why radiology hiring went up.인프라와 배포AI StrategyAI cost & performance+3
44:01EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 4월 9일팟캐스트 · 2명A millionth of a penny: Jeremy Allaire on the payment rails of the agentic economy진행자 Sarah Guo, Elad GilCircle's CEO tells No Priors why stablecoins and a purpose-built chain, not the legacy banking stack, are the money layer for software that buys and sells on its own.에이전트Agentic commerce금융 AI+3
1:37:43EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 25일팟캐스트Cisco wants two extra network layers so agents can share intent진행자 Nathan LabenzVijoy Pandey of Outshift by Cisco argues that superintelligence has to scale out through networks of agents, not just up through bigger models.에이전트Multi-agent systemsAgent orchestration+3
1:06:31EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 3월 20일팟캐스트 · 2명Andrej Karpathy Hasn't Typed a Line of Code Since December진행자 Sarah Guo, Elad GilOn No Priors, the OpenAI cofounder and former Tesla AI director describes the loopy era of coding agents, AutoResearch, and why the bottleneck is now the human.코딩 에이전트AutoresearchAgent orchestration+3
2:06:23EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 8일팟캐스트Five AI Employees Live on Five Mac Minis진행자 Nathan LabenzAfter selling her YC packaging company, Jesse Genet opened a terminal for the first time and built an OpenClaw staff that now plans lessons, logs learning, and keeps family evenings from sliding into slop.에이전트Personal agentsMulti-agent systems+3
1:57:56EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 5일팟캐스트A Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding Pipeline진행자 Nathan LabenzCEO Brian Elliott and CTO Sid Pardeshi tell Nathan Labenz how Blitzy turns a giant codebase into a map, then lets thousands of dynamically generated agents ship most of a multi-month project in days.코딩 에이전트Agent orchestration컨텍스트 엔지니어링+3
48:03EN
Sequoia Capital· 2026년 1월 27일팟캐스트Coding Will Be Solved. The Bottleneck Is Saying What You WantWarp founder Zach Lloyd tells Sequoia's Sonya Huang why a rebuilt terminal became the lucky form factor for coding agents, and why he stopped subsidizing tokens.코딩 에이전트에이전트 엔지니어링Developer productivity+3
40:13EN
Sequoia Capital· 2025년 12월 2일팟캐스트As long as humans still need to read code, the IDE is not dyingZed founder Nathan Sobo argues that source code is a language for people, that terminal agents still need a visual editor, and that conversations should be anchored to every edit.코딩 에이전트개발 워크플로와 테스트Product Strategy+3
44:47EN
Sequoia Capital· 2025년 10월 14일팟캐스트The Last Mile Is Where Contact-Center AI Gets RealCresta CEO Ping Wu and Sequoia's Doug Leone on why 17 to 20 million agents, legacy systems, and last-mile integration will decide who wins customer experience.기업과 전략음성 AICustomer support automation+3
1:32:47EN
Cognitive Revolution "How AI Changes Everything"· 2025년 9월 13일팟캐스트A transformer co-author wants a $160 million model no company owns진행자 Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.인프라와 배포InferenceAI security+3
35:45EN
Sequoia Capital· 2025년 8월 26일팟캐스트Six Years of Revenue, Then Four Times That in Eight Monthsn8n CEO Jan Oberhauser tells Sequoia how two bets — becoming an AI-agent builder, then deleting the leads metric — turned a workflow tool into a default orchestration layer.에이전트Company BuildingWorkflow automation+3
37:45EN
Sequoia Capital· 2025년 6월 10일팟캐스트Codex Is a Thought Experiment: What If the Agent Worked on Its Own Computer?OpenAI’s Codex team on training o3 to write mergeable PRs, running four copies of a 1 a.m. bug, and why the product only clicks once you stop pairing and start delegating.코딩 에이전트Agent orchestration개발 워크플로와 테스트+3
47:49EN
Sequoia Capital· 2025년 5월 6일팟캐스트Workday Is Onboarding AI Agents the Way It Onboards PeopleWorkday CEO Carl Eschenbach on turning a 70-million-person system of record into the ledger for a mixed workforce of humans and digital workers.기업과 전략엔터프라이즈 AIAgent orchestration+3
55:40EN
Sequoia Capital· 2025년 4월 29일팟캐스트To Solve All Diseases, Isomorphic Labs Needs a Half-Dozen AlphaFoldsMax Jaderberg on turning DeepMind's game-playing research into a general AI engine for drug design—and why prediction alone cannot search a 10^60 molecular universe.기업과 전략AI for scienceSynthetic data+3
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 2025년 2월 15일팟캐스트She Never Sees a Row of Your Data. The Answers Still Clear 95%.진행자 Nathan LabenzIllumex CEO Inna Tokarev Sela tells Nathan Labenz how a Platonic industry ontology, trained only on metadata, collapses enterprise software into one conversation.RAG와 지식컨텍스트 엔지니어링Knowledge graphs+3
30:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 1월 16일팟캐스트 · 2명Bilt Saved 65 Support Seats. Decagon's Founder Says Most Agent Ideas Still Won't Sell진행자 Sarah Guo, Elad GilJesse Zhang on why customer support is the golden agent use case, why instruction following beats o1-style reasoning, and the two filters that kill most agent startups.에이전트Customer support automationAgent orchestration+3
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