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1:45:10EN
Lenny's PodcastPódcast · 2 vocesShape Up in Real Life: Fixed Time, Variable Scope, and the Shaping Session That Makes It WorkInvitado: Ryan Singer · Presenta: Lenny RachitskyRyan Singer, author of Shape Up, explains appetites, six-week time boxes and live shaping sessions, and why copying Basecamp's method without its conditions fails.
1:40:03ENLenny's PodcastPódcast · 2 vocesDo More Per Minute: Shopify's Farhan Thawar on Intensity, Hard Paths and Hiring by DoingInvitado: Farhan Thawar · Presenta: Lenny RachitskyShopify's head of engineering explains how pair programming, relentless check-ins, deleted code and job trials keep a 10,000-person company moving fast.
17:32EN
Lex FridmanPódcastOver-Automating, Googling Doctors and Neural Nets: George Hotz Reviews Programming MemesPresenta: Lex FridmanLex Fridman and George Hotz rate printed programming memes, and the jokes turn into candid talk about testing, hiring, social media and the power of neural networks.
1:19:39ENLenny's PodcastPódcastEngineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 MonthsPresenta: Lenny RachitskyThe head of engineering for OpenAI's API and developer platform describes life with Codex, how management is changing, and why builders should aim for where the models are going.
11:59ENLex FridmanPódcast · 2 vocesFrom a Side Project to TensorFlow's Core: François Chollet on How Keras Came to BeInvitado: François Chollet · Presenta: Lex FridmanThe creator of Keras recalls why he built it in 2015 around recurrent networks, how it moved onto TensorFlow, and what TensorFlow 2.0 means for its design.