筛选结果
8 篇排序
26:41EN → 简体中文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。
1:26:16ENMilliseconds to Match: How Criteo Bids on a Billion Anonymous Profiles主持 Nathan LabenzCriteo’s CTO and AI lab head walk through the millisecond auction, the DeepKNN-to-foundation-model stack, and why a live product catalog still beats a frozen LLM.
52:06ENLinkedIn 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.
1:45:49EN → 简体中文预测不等于决策:Michael I. Jordan 谈市场与尚未完成的 AI 革命嘉宾 Michael I. Jordan · 主持 Lex Fridman这位伯克利统计学家对 Lex Fridman 说,今天的系统仍是一门原型工程学科。真正费力的工作,是把生产者和消费者连接起来,它并不在于模仿人的心智。
1:30:52ENCristos Goodrow: There Is No YouTube Algorithm, Only People Moving Through Video嘉宾 Cristos Goodrow · 主持 Lex FridmanYouTube’s head of search and discovery tells Lex Fridman why collaborative filtering learned language on its own, why watch time is not satisfaction, and why nobody can predict a viral hit.
1:47:04ENGustav Söderström on Why Spotify Could Only Be Born in Sweden嘉宾 Gustav Soderstrom · 主持 Lex FridmanLex Fridman talks with Spotify’s chief R&D officer about three-minute songs, 250-millisecond playback, playlist luck, and herding record labels.
37:00ENInside the YouTube Algorithm: Related Graphs, Satisfaction Surveys and the Viewers Who Are Part of the Code主持 Lex FridmanYouTube's head of search and discovery, Cristos Goodrow, explains to Lex Fridman how search and recommendations work, which signals matter, and how the team measures whether viewers are better off.
1:24:30EN → 简体中文从策展到推荐再到生成:Spotify 联席总裁怎样一次次重想产品嘉宾 Gustav Soderstrom · 主持 Lenny RachitskySpotify 联席总裁兼 CPO/CTO Gustav Söderström 讲述 AI DJ、一次很疼的首页改版、小队为何让位给 VP 级自治,以及生成式音乐可能意味着什么。









