筛选结果
26 篇排序
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.
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.
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.
31:34ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年5月15日播客 · 2 人对谈One Company Now Holds as Many Documents as the Entire Early Web主持 Sarah Guo, Elad GilGlean CEO Arvind Jain tells No Priors why enterprise search was a graveyard, how transformers finally made it work, and why a product that searches too well can be too dangerous to sell.
1:29:02ENCognitive Revolution "How AI Changes Everything"· 2025年2月15日播客She 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.
44:26EN → 简体中文Sequoia Capital· 2025年2月13日播客AI 应用说到底还是应用MongoDB 的 Sahir Azam 向红杉资本解释，为什么向量搜索是处理非结构化数据的一种新基础构件（primitive），而不是事务的替代品；他还解释了为什么检索质量是让 AI 进入保守型企业的最后一公里。
1:21:53ENCognitive 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.
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。
1:25:10EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2024年6月15日播客谷歌索引的十分之一，99.9% 的召回率：20 个人如何做出 Brave Search主持 Nathan LabenzJosep M. Pujol 带着《The Cognitive Revolution》了解 Brave 以隐私为先的索引、混合检索技术栈，以及 Nathan Labenz 如今希望自己的产品团队也来用的 Search API。
36:20ENNo 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.
1:27:01ENCognitive 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.
1:23:09EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2024年4月3日播客AI 任务的合适大小，就是你能检查得了的那么大主持 Nathan LabenzElicit 联合创始人 Andreas Stuhlmüller 与 Jungwon Byun 讲述，一个十二人的研究助理如何把摘要中的幻觉数从 1.5 降到 0.5，大约每一周半发布一次更新，并把任务拆解视为在不依赖黑箱的前提下投入更多算力的办法。
1:06:54ENCognitive Revolution "How AI Changes Everything"· 2024年3月5日播客Google Gives You 33 Million Results. Exa Wants 54.主持 Nathan LabenzWill Bryk, CEO of Exa, tells Nathan Labenz why search and research are different jobs, and why an AI librarian for the web has to be neural from the first filter.
31:28ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年2月22日播客 · 2 人对谈Bolt Memory onto GPT-4 and Cut Hallucinations by up to 50%主持 Sarah Guo, Elad GilPinecone CEO Edo Liberty tells Sarah Guo and Elad Gil how RAG, serverless vectors, and keeping knowledge outside the model make LLMs more reliable.
42:07ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年2月15日播客 · 2 人对谈Notion’s Ivan Zhao: RAG Will Make Organizing Optional主持 Sarah Guo, Elad GilThe Notion CEO tells No Priors why he bet the company on GPT-4, why embeddings matter as much as agents, and why software is entering a bundling cycle.
1:53:08EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2024年1月18日播客GPT-4 写 SQL，四张表就是崩溃点主持 Nathan LabenzJuan Sequeda 谈为什么知识图谱（knowledge graph）是基础模型（foundation model）所缺的那个准确、可解释的“大脑”。
1:32:40ENCognitive Revolution "How AI Changes Everything"· 2023年10月31日播客The Historian Who Taught GPT-3.5 to Beat GPT-4主持 Nathan LabenzMark Humphries on a kilometer of unread paper, fur-trade jargon that embeddings cannot see, and why cheap processing will force history to be rewritten.
1:26:30EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2023年10月24日播客这些数据大多从未进过数据库：Chroma 战时 CTO 谈 RAG主持 Nathan LabenzAnton Troynikov 重返《认知革命》，主张检索质量主要取决于嵌入（embedding），Chroma 应当掌控检索增强生成（RAG）的整个闭环；GPT 则仍然通不过一项基础推理测试：康威的“生命游戏”（Game of Life）。
37:18ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年5月4日播客 · 2 人对谈Use Retrieval for a Wi-Fi Password. Use Experts for a Company's Private Language.主持 Sarah Guo, Elad GilGoogle Brain's Kelvin Guu on REALM, FLAN, model surgery, and why personalizing large models is still an unsolved interface problem.
1:56:16ENCognitive Revolution "How AI Changes Everything"· 2023年4月6日播客They Used Humans as Stand-In AIs. Now 250,000 People Run Elicit.主持 Nathan LabenzOught's founders tell Nathan Labenz why open-ended reasoning has to be decomposed, supervised, and grounded—not scaled until it merely looks persuasive.
35:36EN → 简体中文No Priors: AI, Machine Learning, Tech, & Startups· 2023年3月16日播客 · 2 人对谈精选摘要覆盖率卡在 7%，一位 谷歌 老兵用语言模型把它提到 70%主持 Sarah Guo, Elad GilNeeva 创始人 Sridhar Ramaswamy 在《No Priors》里讲述：为什么答案总能胜过链接，为什么隐私没能促成人们换搜索引擎，以及为什么大多数查询用不着最大的模型。
1:26:20ENCognitive Revolution "How AI Changes Everything"· 2023年3月2日播客Forty Dollars to Index Joe Rogan: Chroma, Shovels, and the Wright Flyer Era of ML主持 Nathan LabenzChroma co-founder Anton Troynikov on embeddings as the storage layer for language-model apps, Stable Attribution, and why machine learning is still flying on intuition.
2:52:56EN → 简体中文Lex Fridman· 2021年9月15日播客 · 2 人对谈Douglas Lenat 的三十七年赌注：常识能被写下来吗嘉宾 Douglas Lenat · 主持 Lex Fridman自 1984 年起，Cyc 就在把世界上那些没人明说的规则编码下来，让机器能够推理，而不只是做模式匹配。
20:34ENLex Fridman· 2019年10月26日播客 · 2 人对谈Teaching Machines the Frameworks Humans Take for Granted嘉宾 David Ferrucci · 主持 Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.加载更多已显示 24 篇，共 26 篇