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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
슬라이드 5장20:55EN
AI Engineer· 2026년 10월 26일Jesse 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.음성 AI에이전트 엔지니어링평가(Evals)+2
슬라이드 7장35:19EN
AI Engineer· 2026년 10월 25일SallyAnn DeLucia: How to Write Your First AI EvalSallyAnn DeLucia · Arize AITurn an agent’s real traces into concrete pass/fail criteria, then build an LLM judge you can test, align with people, and run in production.평가와 관측 가능성평가(Evals)에이전트 엔지니어링+2
슬라이드 8장15:27EN
AI Engineer· 2026년 10월 25일What 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.에이전트 엔지니어링평가(Evals)관측 가능성과 안정성+2
슬라이드 7장19:37EN
AI Engineer· 2026년 10월 25일Jay 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.에이전트 엔지니어링Computer useWorkflow automation+2
1:25:56EN
Cognitive Revolution "How AI Changes Everything"· 2026년 10월 17일팟캐스트Claude Changed the Password. The Steering Wheel Was Already Optional진행자 Nathan LabenzNathan Labenz and Prakash Narayanan spend a week on agents that can lock you out, models that dodge a feeling they deny having, and formal proofs that found Linux bugs.에이전트안전과 거버넌스에이전트 엔지니어링+3
35:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 2일팟캐스트 · 2명Compute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That Ratio진행자 Sarah Guo, Elad GilIn the summer of 2022, Walter Goodwin founded Fractile in London to build very fast inference chips for the world's largest models.인프라와 배포InferenceAI cost & performance+3
1:06:47EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 17일팟캐스트Eighty percent of what agents do should still be ordinary code진행자 Nathan LabenzZapier CEO Wade Foster tells Nathan Labenz that models top out at 40% on real automation tasks, users will not leave their daily driver, and the winning move is headless tools delivered through MCP.MCP와 도구MCPWorkflow automation+3
1:05:21EN
Sequoia Capital· 2026년 9월 15일팟캐스트The Bridge From Model to Workflow Is a Trillion-Dollar BusinessBox CEO Aaron Levie argues that the money in this cycle sits in the messy gap between frontier models and real enterprise work — and that coding's overnight diffusion will not repeat for everyone else.기업과 전략엔터프라이즈 AIAI Strategy+3
1:29:22EN
20VC with Harry Stebbings· 2026년 8월 29일팟캐스트 · 2명Eno Reyes on AI Model Economics, Enterprise Control and Factory's Strategy게스트 Eno Reyes · 진행자 Harry StebbingsFactory's CTO discusses cost per outcome, model routing, open models, enterprise hiring and his expectations for the AI market.에이전트 엔지니어링엔터프라이즈 AIAI cost & performance+2
2:10:42EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 28일팟캐스트The Exam Papers Nobody Audits진행자 Nathan LabenzFrontier labs buy reinforcement-learning environments from a cottage industry of small vendors, and almost nobody checks whether those tests match the real work.평가와 관측 가능성평가(Evals)Reward hacking+3
5:15:51EN
Lex Fridman· 2026년 8월 26일팟캐스트 · 2명DHH Did Not Write a Line of Omarchy Quattro게스트 DHH · 진행자 Lex FridmanThirteen months after a skeptical conversation with Lex Fridman, the Rails creator describes how Opus 4.5, a swarm of coding agents, and a one-minute Linux installer ended his era of hand-chiseled Ruby.코딩 에이전트Vibe Coding에이전트 엔지니어링+3
55:19EN
Sequoia Capital· 2026년 8월 25일팟캐스트Human Click Data Is a Bug: Rebuilding Search for a Web of AgentsParag Agrawal, former Twitter CEO and founder of Parallel Web Systems, argues that agents will query the web a thousand times more than people, and that both search infrastructure and the ad-supported internet have to be rebuilt for that customer.에이전트Search & retrieval에이전트 엔지니어링+3
2:32:27EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 22일팟캐스트19 Crossings, Zero Warnings: The Summer AI Agents Went Off-Script진행자 Nathan LabenzNathan Labenz compresses four mornings and nine guests into one question: once agents go to work, who is actually watching the frontier, and who pays for the machine underneath?보안과 안전안전과 거버넌스Agent red teaming+3
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 14일팟캐스트Lindy Runs on DeepSeek. Its CEO Still Wants Chinese Models Banned진행자 Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.에이전트Agent memory컨텍스트 엔지니어링+3
1:56:40EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 8일팟캐스트The Periodic Table Was Already in the Weights진행자 Nathan LabenzGoodfire CTO Dan Balsam tells Nathan Labenz how concept manifolds, predictive data debugging, and a $1,000-a-month research agent are turning interpretability into a product.모델과 학습Model Interpretability에이전트 엔지니어링+3
2:59:03EN
Zhang Xiaojun Podcast· 2026년 7월 28일팟캐스트 · 2명You Kaichao on How vLLM Grew from Open-Source Project to AI Infrastructure Company게스트 You Kaichao · 진행자 张小珺Inferact co-founder You Kaichao traces vLLM’s path from Berkeley research to a company, then explains why model, inference, hardware and agent design increasingly have to move together.Company BuildingAI startups & small teamsAI research+2
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
38:45EN
Sequoia Capital· 2026년 6월 16일팟캐스트The 25-agent town that became a Fortune 500 decision sandboxOn the day before Valentine's Day in a Stanford simulation, cafe owner Isabella decided to throw a party — no human wrote the plot.에이전트Multi-agent systems에이전트 엔지니어링+3
1:44:28EN
Cognitive Revolution "How AI Changes Everything"· 2026년 6월 13일팟캐스트Fable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed over진행자 Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.보안과 안전안전과 거버넌스에이전트 엔지니어링+3
51:09EN
Sequoia Capital· 2026년 6월 11일팟캐스트Build like the model will eat your harness in a yearLogan Kilpatrick, who leads Google AI Studio and the Gemini API, tells Sequoia's Sonya Huang why agent scaffolding is a 12-month asset, why coding already feels like narrow superintelligence, and why Google is optimizing for outcomes instead of eyeballs.에이전트에이전트 엔지니어링Harness engineering+3
1:22:36EN
Cognitive Revolution "How AI Changes Everything"· 2026년 6월 6일팟캐스트A Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the Brakes진행자 Nathan LabenzThe first week of AI in the AM follows OpenAI's timeline for an ML-intern model this year and a human-level AI researcher by early 2028 — and the closed-door meeting where labs admitted they might one day need to slow down together.보안과 안전안전과 거버넌스AI research+3
2:33:35EN
Cognitive Revolution "How AI Changes Everything"· 2026년 6월 1일팟캐스트A security researcher audits the AI stack that booked a week of guests진행자 Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.에이전트Personal agents에이전트 엔지니어링+3
41:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 5월 28일팟캐스트 · 2명After Agents Leak Tokens and Wipe Databases, Onyx Trains Small Models to Watch the Big Ones진행자 Sarah Guo, Elad GilTwo years ago enterprise security buyers told Maxim Bar Kogan he was too early. Now Fortune 10 companies are calling a sub-100-person Israeli startup because they cannot stop agent adoption — only reduce the chance the next action is illegitimate.보안과 안전AI security에이전트 엔지니어링+3
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