필터 결과
167개정렬
1:05:22ENBuild 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.
1:39:51ENAfter 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.
1:22:43ENA 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.
1:30:52ENBuilding 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.
1:50:25ENFrom 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.
1:38:45ENWhen 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.
1:27:45ENCoding 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.
45:46ENGiving 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.
13:58ENDeep 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.
37:23ENFrom 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.
1:26:42ENInside 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.
57:11ENFrom 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.
44:53ENLegora'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.
33:31ENOpen 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.
45:00ENAgents 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.
54:52ENCoding 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.
29:09ENPlan 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.









