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1:10:12ENOutSystems Went From 4 Major Features a Quarter to 26. Token Spend Fell AnywayPresenta: Nathan LabenzCEO Woodson Martin on software that never breaks, why most enterprise work does not need a frontier model, and how AI is finally shrinking the IT backlog.
1:35:29ENUber Burned a Year of Tokens in 13 Weeks. Retrieval Is How Agents WinPresenta: Nathan LabenzMongoDB Field CTO of AI Pete Johnson argues that agent performance now hinges on retrieval quality, not on stuffing million-token context windows.
1:45:59EN87% of Workers Use AI. Only 13% Say the Company Got Better.Presenta: Nathan LabenzGlean’s Work AI Index names the missing hours: botsitting, botshitting, and a hamster wheel of polished nonsense.
1:57:56ENA Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding PipelinePresenta: 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.
1:39:17ENAI Already Beats the Median Lawyer. Top Firms Bought the Tools and Left Them UnusedPresenta: 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 UsablePresenta: Nathan LabenzSnowflake VP of AI Baris Gultekin on text-to-SQL, RAG, agent design, and why inference has to run next to governed data.
1:13:24ENRed Teams Still Land 25% of Attacks. Insurance Is the Brake.Presenta: Nathan LabenzAI Underwriting Company co-founders Rune Kvist and Rajiv Dattani tell Nathan Labenz how standards, audits, and insurance could unlock enterprise agents without waiting for a nuclear-style freeze.
50:08EN1Mind's AI Superhuman Now Sources 76% of the PipelinePresenta: Nathan LabenzAmanda Kahlow tells Zapier CEO Wade Foster why she tore up the sales org — and why a face on an agent is mostly a trick to get buyers talking.
1:41:34ENChat Is the Universal Interface—and Often the Worst OnePresenta: Nathan LabenzAtlassian's head of AI on fighting slop with taste, knowledge, and workflow, and why chat is a terminal, not a product.
1:45:00ENAmerica Holds 45% of the World's Data Centers. Everyone Else Must Build, Buy, or AllyPresenta: Nathan LabenzAnjney Midha of a16z maps what “sovereign AI” actually means for companies and for countries that will never own the talent, data, and compute frontier.
1:27:01ENThe $16 Trillion Services Market Is Being Bought, Not Sold ToPresenta: Nathan LabenzMarc Bhargava of General Catalyst explains how AI-enabled rollups turn low-margin service firms into compounding, software-like businesses.
38:48ENTask Length Doubles Every Few Months. Nathan Labenz Still Wants Humans in ChargePresenta: Nathan LabenzAt Imagine AI Live, the Cognitive Revolution host maps structured AI agents against autonomous agentic systems—and tells businesses to keep final control.
1:05:11ENThe Fake Five-Second Hold: Voice AI Is Already Negotiating With TruckersPresenta: Nathan Labenza16z partners Olivia Moore and Anish Acharya walk Nathan Labenz through what is working in voice AI — call centers, coaches, companions — and what still is not.
54:55ENNew Jersey Cut Phone Waits from 40 Minutes to 90 SecondsPresenta: Nathan LabenzGovernor Phil Murphy on the state AI assistant, a Princeton hub, and why he wants the best catcher's mitt in the country when superhuman systems arrive.
1:29:02ENShe Never Sees a Row of Your Data. The Answers Still Clear 95%.Presenta: Nathan LabenzIllumex CEO Inna Tokarev Sela tells Nathan Labenz how a Platonic industry ontology, trained only on metadata, collapses enterprise software into one conversation.
56:07ENBox Holds 100 Billion Files. Its CEO Says Enterprises Only Move for a 10xPresenta: Nathan LabenzAaron Levie tells Nathan Labenz why AI excitement in the enterprise already outruns the early cloud — and why 98% reliability, seat-based SaaS, and incremental savings still will not ship.
1:29:00EN14,000 people applied. Thirty-three got in. The jobs are at Homeland Security.Presenta: Nathan LabenzMichael Boyce, director of the DHS AI Corps, tells Nathan Labenz how the largest civilian AI team in the U.S. government is being built — and what it is already shipping.
1:12:41ENThe CEO Who Laid Himself Off Is Building a Business Operating SystemPresenta: Nathan LabenzSiqi Chen of Runway tells Nathan Labenz why finance is a company-wide simulation, why chat boxes fail, and how a 100-person cap plus ambient intelligence is the real product strategy.
1:37:52ENChina Has 17 Million Chatbot Users and No OpenAIPresenta: Nathan LabenzA Beijing-based watcher walks through China's LLM players, products, regulation, and the delayed bill from the U.S. chip ban.
1:28:37ENTwelve Hours After a GPT-4 Demo, He Turned a Decade-Old Legal Startup AroundPresenta: Nathan LabenzPablo Arredondo, co-founder of CaseText and now VP of CoCounsel at Thomson Reuters, traces legal research from 19th-century citators to a retrieval-anchored GPT-4 product that law firms treat more like a colleague than a search box.
1:30:41ENThe Model Is a Baked Cake. NYT v. OpenAI Will Likely Cut a Middle PathPresenta: Nathan LabenzTech lawyer Cecilia Ziniti maps the Constitution’s IP clause onto the New York Times lawsuit — and explains why a court is unlikely to order GPT-4 destroyed.
1:53:08ENWhen GPT-4 Writes SQL, Four Tables Is the Breaking PointPresenta: Nathan LabenzJuan Sequeda on why a knowledge graph is the accurate, explainable brain that foundation models do not have.
1:22:43ENFive billion minutes of calls: why Dialpad trained its own business LLMPresenta: Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.
59:28ENFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced ProductPresenta: Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.
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