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7 Folien19:43EN
AI Engineer· 26. Okt. 2026Jack 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.Agent EngineeringAgent orchestrationSandboxes & isolation+2
5 Folien20:55EN
AI Engineer· 26. Okt. 2026Jesse 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.Sprach-KIAgent EngineeringEvals+2
7 Folien35:19EN
AI Engineer· 25. Okt. 2026SallyAnn 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.Evals & ObservabilityEvalsAgent Engineering+2
8 Folien15:27EN
AI Engineer· 25. Okt. 2026What 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.Agent EngineeringEvalsObservability & Zuverlässigkeit+2
7 Folien19:37EN
AI Engineer· 25. Okt. 2026Jay 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.Agent EngineeringComputer useWorkflow automation+2
1:25:56EN
Cognitive Revolution "How AI Changes Everything"· 17. Okt. 2026PodcastClaude Changed the Password. The Steering Wheel Was Already OptionalModeration: 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.AgentenSicherheit & GovernanceAgent Engineering+3
35:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 2. Okt. 2026Podcast · 2 StimmenCompute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That RatioModeration: 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.Infrastruktur & DeploymentInferenceAI cost & performance+3
1:06:47EN
Cognitive Revolution "How AI Changes Everything"· 17. Sept. 2026PodcastEighty percent of what agents do should still be ordinary codeModeration: 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.MCP & ToolsMCPWorkflow automation+3
1:05:21EN
Sequoia Capital· 15. Sept. 2026PodcastThe 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.Unternehmen & StrategieEnterprise-KIAI Strategy+3
1:29:22EN
20VC with Harry Stebbings· 29. Aug. 2026Podcast · 2 StimmenEno Reyes on AI Model Economics, Enterprise Control and Factory's StrategyGast: Eno Reyes · Moderation: Harry StebbingsFactory's CTO discusses cost per outcome, model routing, open models, enterprise hiring and his expectations for the AI market.Agent EngineeringEnterprise-KIAI cost & performance+2
2:10:42EN
Cognitive Revolution "How AI Changes Everything"· 28. Aug. 2026PodcastThe Exam Papers Nobody AuditsModeration: 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.Evals & ObservabilityEvalsReward hacking+3
5:15:51EN
Lex Fridman· 26. Aug. 2026Podcast · 2 StimmenDHH Did Not Write a Line of Omarchy QuattroGast: DHH · Moderation: 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.Coding-AgentenVibe CodingAgent Engineering+3
55:19EN
Sequoia Capital· 25. Aug. 2026PodcastHuman 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.AgentenSearch & retrievalAgent Engineering+3
2:32:27EN
Cognitive Revolution "How AI Changes Everything"· 22. Aug. 2026Podcast19 Crossings, Zero Warnings: The Summer AI Agents Went Off-ScriptModeration: 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?SicherheitSicherheit & GovernanceAgent red teaming+3
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· 14. Aug. 2026PodcastLindy Runs on DeepSeek. Its CEO Still Wants Chinese Models BannedModeration: 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.AgentenAgent memoryContext Engineering+3
1:56:40EN
Cognitive Revolution "How AI Changes Everything"· 8. Aug. 2026PodcastThe Periodic Table Was Already in the WeightsModeration: 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.Modelle & TrainingModel InterpretabilityAgent Engineering+3
2:59:03EN
Zhang Xiaojun Podcast· 28. Juli 2026Podcast · 2 StimmenYou Kaichao on How vLLM Grew from Open-Source Project to AI Infrastructure CompanyGast: You Kaichao · Moderation: 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· 14. Juli 2026PodcastAnthropic'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.AgentenAgent EngineeringAgent orchestration+3
38:45EN
Sequoia Capital· 16. Juni 2026PodcastThe 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.AgentenMulti-agent systemsAgent Engineering+3
1:44:28EN
Cognitive Revolution "How AI Changes Everything"· 13. Juni 2026PodcastFable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed overModeration: 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.SicherheitSicherheit & GovernanceAgent Engineering+3
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Sequoia Capital· 11. Juni 2026PodcastBuild 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.AgentenAgent EngineeringHarness engineering+3
1:22:36EN
Cognitive Revolution "How AI Changes Everything"· 6. Juni 2026PodcastA Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the BrakesModeration: 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.SicherheitSicherheit & GovernanceAI research+3
2:33:35EN
Cognitive Revolution "How AI Changes Everything"· 1. Juni 2026PodcastA security researcher audits the AI stack that booked a week of guestsModeration: Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.AgentenPersonal agentsAgent Engineering+3
41:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 28. Mai 2026Podcast · 2 StimmenAfter Agents Leak Tokens and Wipe Databases, Onyx Trains Small Models to Watch the Big OnesModeration: 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.SicherheitAI securityAgent Engineering+3
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