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7 slides19:43EN
AI Engineer· Oct 26, 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
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Sequoia Capital· Oct 6, 2026PodcastAt 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.Infrastructure & deploymentAI cost & performanceInference+3
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No Priors: AI, Machine Learning, Tech, & Startups· Sep 10, 2026Podcast · 2 speakers76% of Agentic Commerce Is Under 30 Cents — So Coinbase Is Banking the AIsHost 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.AgentsAgentic commerceAI in finance+3
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No Priors: AI, Machine Learning, Tech, & Startups· Jul 31, 2026Podcast · 2 speakersNetic's Agents Answer the Phone When the Heat BreaksHost 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.Enterprise & strategyVoice AIWorkflow automation+3
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Sequoia Capital· Jul 14, 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.AgentsAgent engineeringAgent orchestration+3
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Cognitive Revolution "How AI Changes Everything"· Jul 1, 2026PodcastFrom 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can ExploreHost Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.Enterprise & strategyFine-tuningAgent orchestration+3
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Sequoia Capital· Jun 10, 2026PodcastA $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.Infrastructure & deploymentAI StrategyAI cost & performance+3
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No Priors: AI, Machine Learning, Tech, & Startups· Apr 9, 2026Podcast · 2 speakersA millionth of a penny: Jeremy Allaire on the payment rails of the agentic economyHost 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.AgentsAgentic commerceAI in finance+3
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Cognitive Revolution "How AI Changes Everything"· Mar 25, 2026PodcastCisco wants two extra network layers so agents can share intentHost Nathan LabenzVijoy Pandey of Outshift by Cisco argues that superintelligence has to scale out through networks of agents, not just up through bigger models.AgentsMulti-agent systemsAgent orchestration+3
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No Priors: AI, Machine Learning, Tech, & Startups· Mar 20, 2026Podcast · 2 speakersAndrej Karpathy Hasn't Typed a Line of Code Since DecemberHost 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.Coding agentsAutoresearchAgent orchestration+3
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Cognitive Revolution "How AI Changes Everything"· Mar 8, 2026PodcastFive AI Employees Live on Five Mac MinisHost 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.AgentsPersonal agentsMulti-agent systems+3
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Cognitive Revolution "How AI Changes Everything"· Feb 5, 2026PodcastA Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding PipelineHost 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.Coding agentsAgent orchestrationContext engineering+3
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Sequoia Capital· Jan 27, 2026PodcastCoding 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.Coding agentsAgent engineeringDeveloper productivity+3
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Sequoia Capital· Dec 2, 2025PodcastAs 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.Coding agentsDeveloper workflows & testingProduct Strategy+3
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Sequoia Capital· Oct 14, 2025PodcastThe 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.Enterprise & strategyVoice AICustomer support automation+3
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Cognitive Revolution "How AI Changes Everything"· Sep 13, 2025PodcastA transformer co-author wants a $160 million model no company ownsHost 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.Infrastructure & deploymentInferenceAI security+3
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Sequoia Capital· Aug 26, 2025PodcastSix 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.AgentsCompany BuildingWorkflow automation+3
37:45EN
Sequoia Capital· Jun 10, 2025PodcastCodex 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.Coding agentsAgent orchestrationDeveloper workflows & testing+3
47:49EN
Sequoia Capital· May 6, 2025PodcastWorkday 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.Enterprise & strategyEnterprise AIAgent orchestration+3
55:40EN
Sequoia Capital· Apr 29, 2025PodcastTo 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.Enterprise & strategyAI for scienceSynthetic data+3
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Cognitive Revolution "How AI Changes Everything"· Feb 15, 2025PodcastShe Never Sees a Row of Your Data. The Answers Still Clear 95%.Host Nathan LabenzIllumex CEO Inna Tokarev Sela tells Nathan Labenz how a Platonic industry ontology, trained only on metadata, collapses enterprise software into one conversation.RAG & knowledgeContext engineeringKnowledge graphs+3
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No Priors: AI, Machine Learning, Tech, & Startups· Jan 16, 2025Podcast · 2 speakersBilt Saved 65 Support Seats. Decagon's Founder Says Most Agent Ideas Still Won't SellHost 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.AgentsCustomer support automationAgent orchestration+3
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Cognitive Revolution "How AI Changes Everything"· Dec 18, 2024PodcastHumans Wrote 1.3 Percent of the Tokens. The AI Lab Still Designed Working Nanobodies.Host Nathan LabenzStanford's James Zou describes a GPT-4o research group that invented a protein-design pipeline for under $100 — and a sparse autoencoder that pulled an undocumented motif out of ESM-2.AgentsAgent orchestrationMulti-agent systems+3
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Unsupervised Learning: With Jacob Effron· Dec 16, 2024PodcastThere will not be one model. Fireworks is betting on hundreds of small expertsHost Jacob EffronPyTorch veteran Lin Qiao argues that inference is a compound system hyperscalers cannot buy their way through, and that the products with real traction still keep a human in the loop.Infrastructure & deploymentInferenceModel routing & gateways+3
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