筛选结果
143 篇排序
1:30:52ENBuilding Minds from Unified Theories: Nate Derbinsky on Cognitive Architectures, Soar, and the Case for Forgetting嘉宾 MIT AGI · 主持 Lex FridmanA guest lecture in MIT's AGI course on how cognitive architectures try to assemble human-level intelligence, and how studying human memory made the Soar architecture faster and better.
1:50:25ENFrom Email Client to AI Agent: How Shortwave Rebuilt Itself for the Tidal Wave主持 Nathan LabenzShortwave CEO Andrew Lee explains the agent architecture, caching economics and tiny-team culture behind the company's hockey-stick growth.
1:38:45EN → 简体中文编码不再是瓶颈之后:Anthropic 的 Claude Code 团队怎么管质量和人主持 Lenny Rachitsky领导 Claude Code 与 Cowork 的 Fiona Fung 讲述一支每季度代码量大约变成八倍的工程组织,如何处理验证、招聘、指标和文化。
1:27:45EN → 简体中文「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。
45:46ENGiving 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.
37:23EN → 简体中文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。
1:26:42EN → 简体中文Block 怎样变成 AI 原生大公司:Goose、职能制,以及把代码整段扔掉嘉宾 Dhanji R. Prasanna · 主持 Lenny RachitskyBlock CTO Dhanji Prasanna 说明,一次组织调整、开源智能体 Goose,以及以学习为先的文化,如何让这家大公司走在 AI 应用前面。
57:11EN → 简体中文从制品到有机体:微软Asha Sharma谈会学习的产品和智能体社会嘉宾 Asha Sharma · 主持 Lenny Rachitsky微软AI平台产品负责人解释,为什么产品正变成靠后训练持续进化的活系统,界面如何走向代码与可组合性,以及智能体怎样改写组织图。
44:53ENLegora'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.
33:31ENOpen Source Catches Up, Regulation Can Wait: Sarah Guo and Elad Gil Answer Listener Questions主持 Sarah Guo, Elad GilTwo AI investors cover open-source models, autonomous agents, whether to regulate AI, where startups can win, and why healthcare innovation is so hard.
45:00ENAgents 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.
54:52ENCoding 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.









