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2:41:47EN
Lex Fridman· Jun 12, 2021Podcast · 2 speakersGeometry Is the Cilantro of MathGuest Jordan Ellenberg · Host Lex FridmanJordan Ellenberg tells Lex Fridman that the last 150 years of mathematics have been about one question: when two things count as the same.MathematicsMachine LearningScience Communication+2
1:49:51EN
Lex Fridman· Jun 27, 2020Podcast · 2 speakersThe Idea Once Called a Devolution Now Powers Almost Every New ChipGuest David Patterson · Host Lex FridmanTuring Award winner David Patterson talks with Lex Fridman about RISC, RAID, Moore's Law, open hardware, and why chips without a software stack die.Infrastructure & deploymentOpen-source ecosystemsBenchmarks+1
57:30EN
Lex Fridman· Sep 26, 2019Podcast · 2 speakers400 Spins in a Pocket, and a Universe Too Small to Store ThemGuest Leonard Susskind · Host Lex FridmanLeonard Susskind tells Lex Fridman why quantum computers are not faster laptops, why string theory is a tool rather than a citizenship, and why nobody should claim to have found the bottom of the well.Black HolesConsciousnessPhilosophy of Science+2
1:28:53EN
Lex FridmanPodcast · 2 speakersMachine Learning for Business Students: Powerful, Narrow, and Easier to Fool Than You ThinkGuest MIT Sloan · Host Lex FridmanLex Fridman's non-technical MIT Sloan lecture explains how machine learning works, why it is so capable at perception, and where it still breaks in the real world.Models & trainingML fundamentalsAI Strategy+3
37:00EN
Lex FridmanPodcastInside the YouTube Algorithm: Related Graphs, Satisfaction Surveys and the Viewers Who Are Part of the CodeHost 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.Models & trainingRecommendation systemsSearch & retrieval+3
10:39EN
Lex FridmanPodcastStatistics as Decision-Making: Michael I. Jordan on Bayesians, Frequentists and the Ideas Between ThemHost Lex FridmanBerkeley's Michael I. Jordan explains where statistics came from, why it is really about decisions, and how empirical Bayes and false discovery rate bridge two rival philosophies.Models & trainingML fundamentalsDecision Making+2