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5:15:51EN
Lex Fridman· 2026년 8월 26일팟캐스트 · 2명DHH Did Not Write a Line of Omarchy Quattro게스트 DHH · 진행자 Lex FridmanThirteen months after a skeptical conversation with Lex Fridman, the Rails creator describes how Opus 4.5, a swarm of coding agents, and a one-minute Linux installer ended his era of hand-chiseled Ruby.
6:08:48ENLex Fridman· 2025년 7월 12일팟캐스트 · 2명Nobody Serious Believes Cookie Banners Help Anyone게스트 DHH · 진행자 Lex FridmanLex Fridman talks with David Heinemeier Hansson for six hours about Ruby, Rails, AI, leaving the cloud, Apple's App Store, and why a small company can still refuse other people's money.
5:20:08ENLex Fridman· 2025년 3월 22일팟캐스트 · 2명ThePrimeagen Would Rather Redesign the Room Than Trust Willpower게스트 ThePrimeagen · 진행자 Lex FridmanLex Fridman talks with Michael Paulson about linked lists, Netflix, Neovim, ADHD, addiction, AI, and the night he says God gave him a conscience.
3:15:51ENLex Fridman· 2022년 11월 26일팟캐스트 · 2명Python Is a Recipe Written for Two Readers게스트 Guido van Rossum · 진행자 Lex FridmanGuido van Rossum on CPython’s 3.11 speedups, indentation, the GIL, and why a 4.0 would hurt extensions more than syntax.
3:08:32ENLex Fridman· 2021년 3월 4일팟캐스트 · 2명Ninety Minutes With the Door Shut: Cal Newport on Deep Work, Email, and a Life Built for the Worst Case게스트 Cal Newport · 진행자 Lex FridmanThe Georgetown computer scientist talks with Lex Fridman about attention, digital minimalism, a world without email, and why relationships are the only honest worst-case analysis.
2:46:57ENLex Fridman· 2020년 10월 18일팟캐스트 · 2명Programming Languages Are Bicycles for the Mind게스트 Chris Lattner · 진행자 Lex FridmanChris Lattner talks with Lex Fridman about Swift, LLVM, RISC-V, and why the next leap in computing is as much a language problem as a silicon one.
1:10:58ENLex Fridman· 2019년 6월 3일팟캐스트 · 2명The Hadoop Lesson That Made Google Give TensorFlow Away게스트 Rajat Monga · 진행자 Lex FridmanIn November 2015, Google put its core internal machine-learning system on GitHub. Rajat Monga explains why a company of that size would hand over the hard-to-copy part.
1:02:06ENLex Fridman팟캐스트Learning TensorFlow Hands-On: From a Mystery Line to Handwritten Digits진행자 Lex FridmanGoogle Brain's Sherry Moore walks a Deep Learning School audience through how TensorFlow works and two core labs, linear regression and MNIST digit recognition.