筛选结果
36 篇排序
40:42ENDon't Mistake a Month of Hype for the End of Software主持 Sarah Guo, Elad GilSarah Guo and Elad Gil separate the SaaS-apocalypse noise from the real signals: record revenue ramps, collapsing token prices, and the question of when a founder should sell.
1:16:17EN → 简体中文更快,可是为了什么?Nicole Forsgren 谈 AI 时代如何衡量开发者生产力嘉宾 Nicole Forsgren · 主持 Lenny RachitskyDORA 和 SPACE 的提出者解释为什么多数生产力指标会骗人,AI 如何改写心流与信任,以及怎样把开发者体验做成能证明价值的项目。
1:16:53EN → 简体中文ZIRP 之后的工程领导力:战略、系统和问责嘉宾 Will Larson · 主持 Lenny RachitskyCarta CTO Will Larson 谈零利率时代结束后工程管理怎么变,以及他现在依赖的习惯:系统模型、写下来的战略、共享激励和诚实的价值观。
1:41:26ENThe AI Scouting Report, Part 3: What AI Can Already Do, Who Will Win, and Why Nathan Labenz Wants Caution on Scaling主持 Nathan LabenzNathan Labenz closes his AP-course tour of AI with capabilities, market moats, jobs, law, safety plans and a stance on what to do next.
1:03:25ENTheano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your Math主持 Lex FridmanPascal Lamblin of MILA walks through how Theano builds, differentiates, optimizes and runs computation graphs, then trains logistic regression, a convnet and an LSTM.
40:25ENA 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.
1:45:10EN → 简体中文先定时间再改范围: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。
1:40:03EN → 简体中文每分钟多做一点: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。
1:19:39ENEngineers 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.









