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7 diapositives19:43EN
AI Engineer· 26 oct. 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.Ingénierie d’agentsAgent orchestrationSandboxes & isolation+2
5 diapositives20:55EN
AI Engineer· 26 oct. 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.IA vocaleIngénierie d’agentsÉvaluations+2
7 diapositives35:19EN
AI Engineer· 25 oct. 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.Évaluations et observabilitéÉvaluationsIngénierie d’agents+2
8 diapositives15:27EN
AI Engineer· 25 oct. 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.Ingénierie d’agentsÉvaluationsObservabilité et fiabilité+2
7 diapositives19:37EN
AI Engineer· 25 oct. 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.Ingénierie d’agentsComputer useWorkflow automation+2
1:25:56EN
Cognitive Revolution "How AI Changes Everything"· 17 oct. 2026PodcastClaude Changed the Password. The Steering Wheel Was Already OptionalAnime : 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.AgentsSécurité et gouvernanceIngénierie d’agents+3
35:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 oct. 2026Podcast · 2 voixCompute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That RatioAnime : 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.Infrastructure et déploiementInferenceAI cost & performance+3
1:06:47EN
Cognitive Revolution "How AI Changes Everything"· 17 sept. 2026PodcastEighty percent of what agents do should still be ordinary codeAnime : 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 et outilsMCPWorkflow 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.Entreprise et stratégieIA en entrepriseAI Strategy+3
2:10:42EN
Cognitive Revolution "How AI Changes Everything"· 28 août 2026PodcastThe Exam Papers Nobody AuditsAnime : 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.Évaluations et observabilitéÉvaluationsReward hacking+3
5:15:51EN
Lex Fridman· 26 août 2026Podcast · 2 voixDHH Did Not Write a Line of Omarchy QuattroInvité : DHH · Anime : 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.Agents de codeVibe CodingIngénierie d’agents+3
55:19EN
Sequoia Capital· 25 août 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.AgentsSearch & retrievalIngénierie d’agents+3
2:32:27EN
Cognitive Revolution "How AI Changes Everything"· 22 août 2026Podcast19 Crossings, Zero Warnings: The Summer AI Agents Went Off-ScriptAnime : 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?SécuritéSécurité et gouvernanceAgent red teaming+3
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· 14 août 2026PodcastLindy Runs on DeepSeek. Its CEO Still Wants Chinese Models BannedAnime : 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.AgentsAgent memoryIngénierie du contexte+3
1:56:40EN
Cognitive Revolution "How AI Changes Everything"· 8 août 2026PodcastThe Periodic Table Was Already in the WeightsAnime : 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.Modèles et entraînementModel InterpretabilityIngénierie d’agents+3
48:55EN
Sequoia Capital· 14 juil. 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.AgentsIngénierie d’agentsAgent orchestration+3
38:45EN
Sequoia Capital· 16 juin 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.AgentsMulti-agent systemsIngénierie d’agents+3
1:44:28EN
Cognitive Revolution "How AI Changes Everything"· 13 juin 2026PodcastFable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed overAnime : 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.SécuritéSécurité et gouvernanceIngénierie d’agents+3
51:09EN
Sequoia Capital· 11 juin 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.AgentsIngénierie d’agentsHarness engineering+3
1:22:36EN
Cognitive Revolution "How AI Changes Everything"· 6 juin 2026PodcastA Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the BrakesAnime : 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.SécuritéSécurité et gouvernanceAI research+3
2:33:35EN
Cognitive Revolution "How AI Changes Everything"· 1 juin 2026PodcastA security researcher audits the AI stack that booked a week of guestsAnime : Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.AgentsPersonal agentsIngénierie d’agents+3
41:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 28 mai 2026Podcast · 2 voixAfter Agents Leak Tokens and Wipe Databases, Onyx Trains Small Models to Watch the Big OnesAnime : 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.SécuritéAI securityIngénierie d’agents+3
45:33EN
Sequoia Capital· 26 mai 2026PodcastCursor Ships 1TB of Composer Weights Across Oceans in Under a MinuteFederico Cassano and Fireworks' Dima walk through the globally split RL stack that trained Composer 2 on a sparse trillion-parameter MoE.Infrastructure et déploiementDistributed training & inferenceReinforcement Learning+3
1:01:14EN
Cognitive Revolution "How AI Changes Everything"· 20 mai 2026PodcastThe Model Eats the Scaffolding: How Google Plans to Ship Agents EverywhereAnime : Nathan LabenzThree years after the leaked “no moat” memo, DeepMind’s Gemini leads walk through 3.5 Flash, Omni, and the shared agent harness now running through Google’s products.Entreprise et stratégieIngénierie d’agentsDistillation+3
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