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1:45:49EN
Cognitive Revolution "How AI Changes Everything"팟캐스트Trust at Scale: Elicit's Founders on Reasoning Languages, World Models and Automating the Company진행자 Nathan LabenzAndreas Stuhlmüller and Jungwon Byun explain how Elicit keeps frontier models checkable for high-stakes science, and where they think AI reasoning is heading.에이전트World modelsReasoning & test-time compute+3
1:05:22EN
Unsupervised Learning: With Jacob Effron팟캐스트Build First, Optimize Later: Harrison Chase on LangChain, Evals, and the State-Machine Future of Agents진행자 Jacob EffronHarrison Chase explains how LangChain grew from an orchestration layer into LangSmith and LangGraph, why evaluation datasets force product clarity, and why reliable agents look more like state machines than autonomous loops.제품과 UXCompany BuildingAI startups & small teams+3
1:39:51EN
Lenny's Podcast팟캐스트After the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger Disaster진행자 Lenny RachitskyDjango co-creator Simon Willison explains what changed in November 2025, how he works with coding agents, and why prompt injection remains the field's biggest unsolved risk.코딩 에이전트에이전트 엔지니어링Prompt injection+3
1:22:43EN
Lenny's Podcast팟캐스트A Colleague With Its Own Computer: How a Small Team Built Grok Bot in a Month진행자 Lenny RachitskyRoman Ugarte of SpaceXAI explains the decisions, hand-held onboarding and product philosophy behind Grok Bot, and what Cursor's culture taught him about staying ahead.에이전트에이전트 엔지니어링Product Strategy+3
1:30:52EN
Lex Fridman팟캐스트 · 2명Building Minds from Unified Theories: Nate Derbinsky on Cognitive Architectures, Soar, and the Case for Forgetting게스트 MIT AGI · 진행자 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.에이전트AGI(범용 인공지능)AI research+3
1:50:25EN
Cognitive Revolution "How AI Changes Everything"팟캐스트From Email Client to AI Agent: How Shortwave Rebuilt Itself for the Tidal Wave진행자 Nathan LabenzShortwave CEO Andrew Lee explains the agent architecture, caching economics and tiny-team culture behind the company's hockey-stick growth.에이전트에이전트 엔지니어링Product Strategy+3
1:38:45EN
Lenny's Podcast팟캐스트When Coding Stops Being the Bottleneck: Inside Anthropic's Claude Code and Cowork Teams진행자 Lenny RachitskyFiona Fung, who leads the teams behind Claude Code and Cowork, describes how an engineering org that ships roughly eight times more code manages quality, hiring, metrics and culture.코딩 에이전트AI 엔지니어링 리더십Developer productivity+3
1:27:45EN
Lenny's Podcast팟캐스트Coding Is Solved, Says the Creator of Claude Code: Boris Cherny on What Comes Next진행자 Lenny RachitskyBoris Cherny, head of Claude Code at Anthropic, on the tool's origin, the principle of latent demand, and how work changes when engineers stop writing code by hand.코딩 에이전트에이전트 엔지니어링Developer productivity+3
45:46EN
Unsupervised Learning: With Jacob Effron팟캐스트Giving AI a Nervous System: Voice, Touch, and the Post-Keyboard Interface진행자 Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.멀티모달과 미디어음성 AIMultimodal AI+3
13:58EN
Lex Fridman팟캐스트Deep Reinforcement Learning, Explained by the Researcher Behind AlphaGo진행자 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.모델과 학습Reinforcement Learning머신러닝 기초+3
37:23EN
Lenny's Podcast팟캐스트From Chat to Always-On Agents: OpenAI's Tibo Sottiaux on Dots, Open Ecosystems and What Comes Next진행자 Lenny RachitskyThe head of ChatGPT and Codex, speaking hours after a DevDay launch of more than 20 products, explains the vision for a personal agent that works around the clock.에이전트에이전트 엔지니어링Personal agents+3
1:26:42EN
Lenny's Podcast팟캐스트 · 2명Inside Block's AI-Native Bet: Goose, Functional Orgs and Throwing Code Away게스트 Dhanji R. Prasanna · 진행자 Lenny RachitskyBlock CTO Dhanji Prasanna explains how a reorg, an open-source agent and a learning-first culture made the company unusually AI-forward.기업과 전략엔터프라이즈 AI에이전트 엔지니어링+3
57:11EN
Lenny's Podcast팟캐스트 · 2명From Artifact to Organism: Microsoft's Asha Sharma on Products That Learn and an Agentic Society게스트 Asha Sharma · 진행자 Lenny RachitskyMicrosoft's AI platform product chief explains why products are becoming living systems tuned by post-training, why interfaces are shifting toward code and composability, and how agents may reshape the org chart.에이전트에이전트 엔지니어링AI interface design+3
44:53EN
Unsupervised Learning: With Jacob Effron팟캐스트Legora's CEO on Building Legal AI That Survives the Next Model Release진행자 Jacob EffronMax explains how Legora turns fast-moving model capabilities into end-to-end legal work, enterprise adoption, and a durable product strategy.기업과 전략엔터프라이즈 AIProduct Strategy+3
33:31EN
No Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명Open Source Catches Up, Regulation Can Wait: Sarah Guo and Elad Gil Answer Listener Questions진행자 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.기업과 전략Open-source ecosystemsOpen-weight models+3
45:00EN
Unsupervised Learning: With Jacob Effron팟캐스트Agents Everywhere: OpenAI's Blueprint for Tool Use, Evals, and Computer-Use Infrastructure진행자 Jacob EffronOpenAI's API platform team explains how agents are moving from deterministic workflows to reasoning-driven tool use, and what developers still lack.에이전트에이전트 엔지니어링Computer use+3
54:52EN
Unsupervised Learning: With Jacob Effron팟캐스트Coding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next Frontier진행자 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.코딩 에이전트에이전트 엔지니어링컨텍스트 엔지니어링+3
29:09EN
Lenny's Podcast팟캐스트Plan in 90-Day Windows: How OpenAI's Product Leaders Ship Fast Without Losing the Plot진행자 Lenny RachitskyOpenAI's Tara Seshan and Nan Yu tell Claire Vo how they ship imperfect features, design agents people can follow, work with research, and think about 2027.제품과 UXProduct StrategyAI Product Management+3