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121 篇
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1:27:45EN → 简体中文
Lenny's Podcast播客「编程已经基本被解决」:Claude Code 负责人谈代码之后会发生什么主持 Lenny RachitskyAnthropic 的 Claude Code 负责人 Boris Cherny 讲述产品起源、「潜在需求」原则,以及工程师不再手写代码之后工作会怎样变。编程智能体智能体工程Developer productivity+3
45:46EN
Unsupervised Learning: With Jacob Effron播客Giving AI a Nervous System: Voice, Touch, and the Post-Keyboard Interface主持 Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.多模态与媒体语音 AIMultimodal AI+3
13:58EN
Lex Fridman播客Deep Reinforcement Learning, Explained by the Researcher Behind AlphaGo主持 Lex FridmanDavid Silver of DeepMind walks through what reinforcement learning is, how its building blocks fit together, and why deep neural networks keep surprising even the experts.模型与训练Reinforcement Learning机器学习基础+3
37:23EN → 简体中文
Lenny's Podcast播客手工搭循环只是过渡:ChatGPT 负责人谈全天候智能体 Dots主持 Lenny RachitskyOpenAI 的 ChatGPT 与 Codex 负责人 Tibo Sottiaux,在 DevDay 发布二十多款产品数小时后,解释他心中那个全天候个人智能体,以及开放插件生态为什么才是被低估的赌注。智能体智能体工程Personal agents+3
44:53EN
Unsupervised Learning: With Jacob Effron播客Legora's CEO on Building Legal AI That Survives the Next Model Release主持 Jacob EffronMax explains how Legora turns fast-moving model capabilities into end-to-end legal work, enterprise adoption, and a durable product strategy.企业与战略企业 AIProduct Strategy+3
45:00EN
Unsupervised Learning: With Jacob Effron播客Agents Everywhere: OpenAI's Blueprint for Tool Use, Evals, and Computer-Use Infrastructure主持 Jacob EffronOpenAI's API platform team explains how agents are moving from deterministic workflows to reasoning-driven tool use, and what developers still lack.智能体智能体工程Computer use+3
54:52EN
Unsupervised Learning: With Jacob Effron播客Coding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next Frontier主持 Jacob EffronJacob Effron and Swyx map the state of AI engineering, from agent harnesses and infrastructure churn to coding-market economics, open models, dark factories, and world models.编程智能体智能体工程上下文工程+3
29:09EN → 简体中文
Lenny's Podcast播客别为 2027 做年度规划:OpenAI 如何按 90 天窗口出货主持 Lenny RachitskyOpenAI 的 Tara Seshan 和 Nan Yu 谈不完美功能如何上线、智能体怎样设计,以及产品规划为什么只看两三个月。产品与体验Product StrategyAI Product Management+3