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40:25EN
Lex Fridman播客A Language That Knows the World: Stephen Wolfram on Computable Knowledge主持 Lex FridmanIn this clip from the Lex Fridman Podcast, Stephen Wolfram explains what makes the Wolfram Language different from ordinary programming languages and how it grew into a computable knowledge base, from Wolfram Alpha to computational contracts.Programming LanguagesSoftware engineeringAI History
14:47EN
Lex Fridman播客 · 2 人对谈Build Your Own Types: What Bjarne Stroustrup Learned from Simula, Fortran and Lisp嘉宾 Bjarne Stroustrup · 主持 Lex FridmanThe creator of C++ traces how Simula's user-defined types shaped his language, and why he builds for constrained, long-lived systems.Programming LanguagesSoftware engineeringCoding Culture
1:45:10EN → 简体中文
Lenny's Podcast播客 · 2 人对谈先定时间再改范围:Ryan Singer 讲 Shape Up 在真实团队里怎么落地嘉宾 Ryan Singer · 主持 Lenny Rachitsky《Shape Up》作者 Ryan Singer 解释 appetite、六周时间盒和现场塑形,以及照搬 Basecamp 方法却没有相应条件时为何会失败。产品与体验Product StrategyProduct Management+3
1:40:03EN → 简体中文
Lenny's Podcast播客 · 2 人对谈每分钟多做一点:Shopify 工程负责人谈强度、难路和用干活招人嘉宾 Farhan Thawar · 主持 Lenny RachitskyFarhan Thawar 讲结对编程、六周复盘、删代码和最长九十天的试工,如何让一家万人远程公司继续跑得很快。企业与战略LeadershipCompany Building+3
17:32EN
Lex Fridman播客Over-Automating, Googling Doctors and Neural Nets: George Hotz Reviews Programming Memes主持 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.Software engineering开发流程与测试Workflow automation+3
1:19:39EN
Lenny's Podcast播客Engineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 Months主持 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.编程智能体Agent orchestrationDeveloper productivity+3
11:59EN
Lex Fridman播客 · 2 人对谈From a Side Project to TensorFlow's Core: François Chollet on How Keras Came to Be嘉宾 François Chollet · 主持 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.开源与社区Deep LearningOpen-source ecosystems+3