筛选结果
13 篇排序
26:41EN → 简体中文
Latent Space· 2026年10月22日播客 · 2 人对谈Anekha Sokhal 谈 Moshi：给大宗商品交易员用的推荐引擎嘉宾 Anekha Sokhal · 主持 swyxMoshi 创始人向 swyx 讲述她会怎样重做交易员的工作流：把市场数据、内部文件和互相打架的信源连在一起，再把人们本来会错过的二阶效应推过来。难的不是仪表盘，是让人真的用起来。
1:45:59EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月10日播客87% 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.
39:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年4月23日播客 · 2 人对谈400,000 Customers, 20,000 APIs: SAP's CTO on the Hard Exam of Enterprise AI主持 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.
1:41:34ENCognitive 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.
39:06EN
Sequoia Capital· 2025年8月12日播客He Couldn't Ask His Grandfather What to Do, So He Built a Digital MindOn Sequoia's Training Data, Delphi founder Dara Ladjevardian explains how authorized digital minds turn people into conversational media without replacing them.
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.
52:06ENSequoia Capital· 2025年1月21日播客LinkedIn spent five years on graph neural nets. She wants any company to see value in four weeksKumo co-founder Hema Raghavan argues that the graph was always sitting in your warehouse tables — and that a SQL-like predict clause is how ordinary companies finally get to use it.
44:48ENSequoia 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.
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.
4:56ENCognitive Revolution "How AI Changes Everything"· 2024年2月1日播客If the Mind Is a Tool, AI Looks Less Like a Threat主持 Nathan LabenzYohei Nakajima and Nathan Labenz pause a TED AI talk to connect agent-building habits with East–West ideas of identity.
1:53:08ENCognitive Revolution "How AI Changes Everything"· 2024年1月18日播客When 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.
2:52:56EN
Lex Fridman· 2021年9月15日播客 · 2 人对谈Douglas Lenat's 37-Year Bet That Common Sense Can Be Written Down嘉宾 Douglas Lenat · 主持 Lex FridmanSince 1984, Cyc has been encoding the unstated rules of the world so machines can reason instead of merely pattern-match.
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.