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54 篇
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1:35:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月1日播客Uber 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.RAG 与知识库检索增强生成Agent memory+3
44:52EN
Sequoia Capital· 2026年6月24日播客An 80GB Wikipedia Cache Versus a 100GB Model That Holds the InternetEngram’s founders argue that stuffing a company into the context window is the expensive kind of memory—and that baking it into the weights can cut token use by two orders of magnitude.RAG 与知识库Continual learning微调+3
2:38:48EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2026年4月26日播客一千次搜索只要五分钱,高分也不必靠作弊主持 Nathan Labenz在《Cognitive Revolution》的一期早间节目里,Ceramic 的 Anna Patterson 把廉价搜索、GPT-5.5 干净的 Vending-Bench 成绩、Zvi 关于模型福利的主张,以及能把矩阵乘法能耗降低约 30 倍的模拟芯片放在一起讨论。企业与战略检索增强生成Search & retrieval+3
1:40:51EN
Cognitive Revolution "How AI Changes Everything"· 2026年1月14日播客Reasoning 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.企业与战略检索增强生成企业 AI+3
1:41:34EN
Cognitive Revolution "How AI Changes Everything"· 2025年11月20日播客Chat 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.企业与战略AI interface designProduct Strategy+3
1:55:12EN
Cognitive Revolution "How AI Changes Everything"· 2025年11月8日播客28,000 Documents, a 3B Model, 22 People: The Technical Ledger of Catholic AI主持 Nathan LabenzLongbeard CEO Matthew Harvey Sanders tells The Cognitive Revolution how a mission-driven team is aligning models to the Catholic magisterium — and why fine-tuning was not enough.模型与训练检索增强生成微调+3
1:37:25EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月5日播客Fin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few Points主持 Nathan LabenzEoghan McCabe and Fergal Reid on production A/B tests, 99-cent outcome pricing, and why GPT-4 was already smart enough for most customer service.智能体智能体工程检索增强生成+3
44:49EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年9月5日播客 · 2 人对谈How OpenEvidence Became the Clinical OS for 40% of U.S. Doctors主持 Sarah Guo, Elad GilFounder Daniel Nadler tells No Priors how a free search tool for physicians, not an answer engine for patients, took high-stakes clinical knowledge in 18 months.RAG 与知识库检索增强生成Search & retrieval+3
1:25:12EN
Cognitive Revolution "How AI Changes Everything"· 2025年3月27日播客He Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line Repo主持 Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.编程智能体上下文工程检索增强生成+3
44:26EN
Sequoia Capital· 2025年2月13日播客An AI Application Is Still an ApplicationMongoDB's Sahir Azam tells Sequoia why vector search is a new primitive for unstructured data, not a replacement for transactions, and why retrieval quality is the last mile that gets AI into conservative enterprises.RAG 与知识库Vector search检索增强生成+3
56:07EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月29日播客Box 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.企业与战略企业 AIAI Strategy+3
1:29:00EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月11日播客14,000 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.企业与战略企业 AIAI Strategy+3
1:55:53EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月5日播客AI Beats Humans at Reading Papers. It Still Cannot Count Atoms.主持 Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.智能体AI for science检索增强生成+3
1:03:07EN
Sequoia Capital· 2024年11月26日播客Reasoning Hasn't Budged in Two Years. Dust Still Saved a Customer 8,000 HoursDust co-founders Gabriel Hubert and Stanislas Polu on multi-model agents, refusing to buy GPUs before product-market fit, and the jump from calculator tools to stochastic ones.智能体智能体工程企业 AI+3
44:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年11月21日播客 · 2 人对谈Cohere's Aidan Gomez: The Model Curve Is Flattening, and $20 Million Now Buys GPT-4主持 Sarah Guo, Elad GilThe Attention Is All You Need co-author tells No Priors why enterprises should stop waiting for the next model and start putting today's models into production.企业与战略企业 AIAI Strategy+3
55:16EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月31日播客Gemini’s API Grew 14× in Six Months. Google’s PMs Explain the Catch-Up.主持 Nathan LabenzLogan Kilpatrick and Shrestha Basu Mallick walk through search grounding, Gemini Flash’s price-latency quadrant, and why a near-tied leaderboard still leaves Google third in most developers’ queues.产品与体验检索增强生成AI cost & performance+3
44:48EN
Sequoia Capital· 2024年10月29日播客Enterprise Google Failed for Twenty Years. A Search Veteran Finally Made It Work.Glean CEO Arvind Jain on why company search is harder than the public web, why RAG lives or dies on retrieval, and what work looks like when every employee has an AI assistant.企业与战略检索增强生成Search & retrieval+3
38:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年10月8日播客 · 2 人对谈Half of Production AI Is RAG. Fine-Tuning Almost Disappeared.主持 Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.评估与可观测性评估检索增强生成+3
2:03:55EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2024年9月18日播客约束越多,智能体(Agent)越值得信任主持 Nathan LabenzAgent.ai 工程负责人 Andrei Oprisan 向 Nathan Labenz 解释,为什么狭窄、规定明确的工作流能胜过开放式的自主性,以及一个 12 人的团队如何在几个月内把一个免费的智能体网络做到超过 40000 名用户。智能体智能体工程Workflow automation+3
1:51:00EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月21日播客Start With Ten Gold Examples: A Three-Step Playbook for AI Automation主持 Nathan LabenzThe day after OpenAI opened GPT-4o fine-tuning, Nathan Labenz unpacks a three-year method for choosing work, extracting tacit judgment, and raising model performance.企业与战略Workflow automationPrompting & in-context learning+3
1:21:53EN
Cognitive Revolution "How AI Changes Everything"· 2024年7月19日播客HippoRAG Matches Iterative Retrieval at One-Tenth the Online Cost主持 Nathan LabenzA hippocampus-inspired knowledge graph lets multi-hop questions skip the brute-force document crawl.RAG 与知识库检索增强生成Knowledge graphs+3
3:02:16EN → 简体中文
Lex Fridman· 2024年6月19日播客 · 2 人对谈答案之后,旅程才刚开始:Perplexity CEO Aravind Srinivas 谈搜索与好奇心嘉宾 Aravind Srinivas · 主持 Lex Fridman2022 年,Perplexity 的第一位员工问起健康保险,四个博士却没能从谷歌上得到一个清楚的答案。RAG 与知识库Product StrategyAI interface design+3
36:20EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月6日播客 · 2 人对谈A Hundred Million Tokens in Context Would Cost $10 Million. Tengyu Ma Runs the RAG Math主持 Sarah Guo, Elad GilThe Stanford professor and Voyage AI founder argues that retrieval, not a giant context window, is how enterprises should manage private knowledge.RAG 与知识库检索增强生成Embeddings+3
1:27:01EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月8日播客Three Million Emails, Ten LLM Calls, Six Models: Shortwave's RAG Playbook主持 Nathan LabenzFirebase founder Andrew Lee walks Nathan Labenz through the retrieval stack that turned a Gmail inbox into a working AI assistant.RAG 与知识库检索增强生成Vector search+3
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