絞り込み結果
8 件並び順
5:15:51ENDHH Did Not Write a Line of Omarchy Quattroゲスト DHH · ホスト 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.
6:08:48ENNobody Serious Believes Cookie Banners Help Anyoneゲスト DHH · ホスト 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.
5:20:08ENThePrimeagen Would Rather Redesign the Room Than Trust Willpowerゲスト ThePrimeagen · ホスト 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.
3:15:51ENPython Is a Recipe Written for Two Readersゲスト Guido van Rossum · ホスト Lex FridmanGuido van Rossum on CPython’s 3.11 speedups, indentation, the GIL, and why a 4.0 would hurt extensions more than syntax.
3:08:32ENNinety Minutes With the Door Shut: Cal Newport on Deep Work, Email, and a Life Built for the Worst Caseゲスト Cal Newport · ホスト 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.
2:46:57ENProgramming Languages Are Bicycles for the Mindゲスト Chris Lattner · ホスト 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.
1:10:58ENThe Hadoop Lesson That Made Google Give TensorFlow Awayゲスト Rajat Monga · ホスト 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.
1:02:06ENLearning TensorFlow Hands-On: From a Mystery Line to Handwritten Digitsホスト 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.









