筛选结果
25 篇排序
1:10:12ENOutSystems Went From 4 Major Features a Quarter to 26. Token Spend Fell Anyway主持 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 Win主持 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.主持 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 Pipeline主持 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 Unused主持 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 Usable主持 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.主持 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 Pipeline主持 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 One主持 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 Ally主持 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 To主持 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 Charge主持 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 Truckers主持 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 Seconds主持 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%.主持 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 10x主持 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.主持 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 System主持 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 OpenAI主持 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 Around主持 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 Path主持 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 Point主持 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 LLM主持 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 Product主持 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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