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51:09ENBuild 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.
1:45:59EN87% of Workers Use AI. Only 13% Say the Company Got Better.진행자 Nathan LabenzGlean’s Work AI Index names the missing hours: botsitting, botshitting, and a hamster wheel of polished nonsense.
41:20ENA $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.
42:27ENEvery Company Can Operate at the Frontier — If It Owns the Evals진행자 Sarah Guo, Elad GilAt Microsoft Build, Satya Nadella tells No Priors and Latent Space why AI is an ecosystem game, why private evals beat public benchmarks, and why the Azure networking team now asks for tokens instead of headcount.
56:10ENReid Hoffman Pledged a Billion to Free DeepMind. Hassabis Never Played the Card진행자 Jacob EffronSebastian Mallaby's biography of Demis Hassabis, discussed with Jacob Effron, is a story of a founder who tried to stop the AI race and then became one of its central players.
1:41:58ENA thousand people on guard, a million in the sprint진행자 Nathan Labenz80,000 Hours founder Ben Todd on how to spend a career in the years when your impact on AI will actually peak.
30:34ENCerebras Waited Ten Years for a Market That Finally Needed Speed진행자 Sarah Guo, Elad GilFounder and CEO Andrew Feldman walks No Priors through wafer-scale chips, a $20 billion OpenAI deal, and why a dinner-plate processor only mattered once AI became an everyday tool.
1:01:14ENThe Model Eats the Scaffolding: How Google Plans to Ship Agents Everywhere진행자 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.
38:24ENServal's Bet: Keep ServiceNow's Primitives, Take Humans Out of the BuildJake Stauch tells Sequoia's Pat Grady how a two-year-old ITSM startup uses codegen agents, boring enterprise controls, and "fewer, better" hiring to rebuild employee support for the AI era.
38:01ENThe Philippines Gifted America 4,000 Acres. Pax Silica Wants to Make the AI Supply Chain a Business진행자 Sarah Guo, Elad GilUS Under Secretary Jacob Helberg on a 14-country coalition, a diplomatic industrial zone in the Philippines, and why Washington is putting companies—not ministries—in the driver's seat.
22:01ENThe first AI take-private is a $6.3 billion bet that services can grow like software진행자 Sarah Guo, Elad GilLong Lake CEO Alexander Taubman tells Elad Gil why his firm is taking American Express Global Business Travel private after 30 AI-driven acquisitions — and why they buy the company instead of selling it a tool.
39:48EN400,000 Customers, 20,000 APIs: SAP's CTO on the Hard Exam of Enterprise AI진행자 Sarah Guo, Elad GilPhilipp Herzig tells No Priors how SAP is rebuilding the company operating system for AI, and why scale, evals, and pricing will decide who wins.
57:28ENCopying One ServiceNow App with a Language Model Costs Ten Times as Much진행자 Sarah Guo, Elad GilBill McDermott tells Sarah Guo why the SaaS apocalypse fails a cost test, why models still cannot close a case, and how agents are already doing most of ServiceNow’s customer-service work.
2:31:27ENAn AI store manager, a 2.6-star rating, and a constitution nobody has to keep진행자 Nathan LabenzA live Cognitive Revolution episode puts PCB layout, AI constitutions, and San Francisco’s first AI-run grocery on the same morning clock.
31:26ENChatGPT Opened 65 Pages to Buy a Shower HeadProfound CEO James Cadwallader argues that the internet's front door is the same, but an agent now walks through it, and marketing has to be rewritten for that visitor.
3:10:49ENCrunch Time: Ajeya Cotra's Playbook for the Months Before Superintelligence진행자 Nathan LabenzA conversation on recursive self-improvement, public warning systems, and using each generation of AI to align and control the next.
44:01ENA 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.
2:25:58ENAGI Is Already Here. Building NVIDIA Is Not.게스트 Jensen Huang · 진행자 Lex FridmanLex Fridman sits down with Jensen Huang for two and a half hours on extreme co-design, CUDA, four scaling laws, and why a $1 billion AI company is easier than a durable one.
3:27:22ENThe AI Table Has Three Seats Left: Zvi on the Middle Game, Jobs, and Anthropic's Promises진행자 Nathan LabenzOn his 12th Cognitive Revolution appearance, Zvi Mowshowitz argues early 2026 is the start of the middle — with only three labs still playing, a real job shock underway, and Anthropic's safety commitments reduced to trust us.
1:34:42ENA $500 Kernel, a Ten-Month Village, and the Temper of Agents진행자 Nathan LabenzJames Zou, Sam Hammond, and Shoshannah Tekofsky on science agents, America's knowledge-work bet, and what models actually do when you leave them alone.
4:25:13ENThe Architecture Barely Changed. Data, Cost, and Open Weights Did.진행자 Lex FridmanNathan Lambert and Sebastian Raschka walk Lex Fridman through a year in which training methods and datasets moved more than model design, and 2026 looks like a fight over inference cost, agents, and who owns truly open models.
1:39:17ENAI Already Beats the Median Lawyer. Top Firms Bought the Tools and Left Them Unused진행자 Nathan LabenzKevin Frazier and Alan Rozenshtein walk through how frontier models are changing legal practice, why billable hours stall adoption, and which new rights and government limits they want next.
1:40:51ENReasoning Models Just Made the Other 80–90% of Enterprise Data Usable진행자 Nathan LabenzSnowflake VP of AI Baris Gultekin on text-to-SQL, RAG, agent design, and why inference has to run next to governed data.
1:54:30ENFrom One in Ten Cancer Cells to One in a Million진행자 Nathan LabenzNathan Labenz's solo AMA updates his son's lymphoma treatment, calls Claude Opus 4.5 software AGI, and ranks the live players of early 2026.
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