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1:19:48ENBigger Models, Cleaner Splits and Human Baselines: Andrew Ng's Practical Recipe for Applied Deep LearningModeration: Lex FridmanIn a 2016 Deep Learning School talk, Andrew Ng distills lessons from leading Baidu's AI team into a workflow for diagnosing models, handling data and building a career.
1:30:00ENInside Stripe's Product Engineering Culture: Friction Logs, Engineer Occasions and 45-Minute DeploysGast: David Singleton · Moderation: Lenny RachitskyStripe CTO David Singleton explains how the company hires, builds with early users, sweats the details and ships constantly without breaking a business-critical system.
17:32ENOver-Automating, Googling Doctors and Neural Nets: George Hotz Reviews Programming MemesModeration: 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.
1:15:13ENShipping Real Apps Without Writing Code: A Non-Technical PM's Cursor and Claude Code WorkflowGast: Zevi Arnovitz · Moderation: Lenny RachitskyZevi Arnovitz, a product manager with no technical background, walks Lenny Rachitsky through the slash-command workflow he uses to build and ship products with AI.
1:27:44ENEverybody Can Cook: Guillermo Rauch on v0, Vercel and the Collapse of SpecializationGast: Guillermo Rauch · Moderation: Lenny RachitskyVercel's CEO explains how v0 turns intent into shipped products, why understanding how software works still matters, and how teams can build taste through exposure.







