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슬라이드 2장34:48EN
Latent Space· 2026년 11월 3일팟캐스트 · 2명Zach Lloyd on the Infrastructure Behind a Software Factory게스트 Zach Lloyd · 진행자 Shawn Wang (swyx)Warp’s founder explains how teams can define, observe and improve agentic development workflows—and when the additional infrastructure may be excessive.코딩 에이전트개발 워크플로와 테스트Agent orchestration+2
슬라이드 4장15:50EN
Theo - t3․gg· 2026년 11월 3일Theo Compares Codex and Claude Subscription Value After Limit ChangesTheoTheo looks at estimated allowances, per-task costs and his own review experiments, while arguing that model quality remains decisive.코딩 에이전트OpenAIAI cost & performance
48:08EN
a16z· 2026년 11월 3일Andrew Huberman on Building a Sustainable Routine for Focus and HealthDaisy Wolf, Andrew Huberman · a16zThe neuroscientist describes his daily routine, his struggle with social media, and how he protects the hours when he does his best work.NeuroscienceProductivityWork-Life Balance
1:53:06EN
Theo Von· 2026년 11월 3일팟캐스트 · 2명Lindsay Owens on Price Experiments, Consumer Data and the Fight for Fair Prices게스트 Lindsay Owens · 진행자 Theo VonThe consumer advocate explains her investigations into changing prices and data-driven commerce, and what shoppers and lawmakers can do.Economics
슬라이드 4장16:29EN
AI Engineer· 2026년 11월 3일Why Retrieval Quality Matters for AI Agents Working with Large Document CollectionsAamir Shakir · MixedbreadMixedbread’s Aamir Shakir critiques a multi-stage retrieval pipeline and presents a customer case and multimodal search demo.Search & retrievalRAG와 지식Embeddings+2
슬라이드42:30EN
How I AI· 2026년 11월 2일팟캐스트 · 2명Inside Figma’s PM OS: Ezra Mechaber on Skills, Bug Bashes and Automated Experiments게스트 Ezra Mechaber · 진행자 Claire VoFigma growth PM Ezra Mechaber shows Claire Vo how a shared repository supports product work, browser testing and a human-reviewed experiment loop.AI Product ManagementProduct ManagementAI agents+2
1:37:08EN
Machine Learning Street Talk· 2026년 11월 2일팟캐스트 · 2명Joscha Bach on Consciousness, Causal Patterns and Machine Minds게스트 Joscha Bach · 진행자 Tim ScarfeA discussion of a speculative machine-consciousness hypothesis, the limits of behavioral tests and competing accounts of mind.ConsciousnessPhilosophy of MindCognitive Science+1
슬라이드 2장16:46EN
Theo - t3․gg· 2026년 11월 2일Theo Browne on Claude Ultra, Five-Hour Limits and SDK UsageTheo Browne · Ping LabsA breakdown of the renamed subscription tier, verification and reported differences between interactive and SDK usage.코딩 에이전트Developer productivity개발 워크플로와 테스트
1:43:15EN
Chris Williamson· 2026년 11월 2일팟캐스트 · 2명Joe Hudson on Decisions, Fear and Living by Your Principles게스트 Joe Hudson · 진행자 Chris WilliamsonCoach Joe Hudson joins Chris Williamson to explore indecision, emotional avoidance, personal principles and the value of learning through action.Decision MakingPsychologyPersonal Growth+2
슬라이드 4장15:51EN
AI Engineer· 2026년 11월 2일Adam Nahari: Six Moves to Turn AI Pilots Into Financial ImpactAdam Nahari · ApolloAn airline crew-scheduling example shows why financial outcomes depend on workflow redesign, adoption and disciplined measurement.엔터프라이즈 AI기업과 전략Productivity
1:01:08EN
Unsupervised Learning: With Jacob Effron· 2026년 11월 2일팟캐스트 · 2명Nebius CTO Danila Shtan on AI Clouds, Inference and Competition with Hyperscalers게스트 Danila Shtan · 진행자 Jacob EffronDanila Shtan tells Jacob Effron how Nebius builds AI infrastructure, where inference remains inefficient and why he expects larger clouds to compete more aggressively.인프라와 배포InferenceDistributed training & inference+2
44:57EN
a16z· 2026년 11월 2일팟캐스트 · 3명Tutor Intelligence CEO Josh Gruenstein on Building Robots for Real Work게스트 Josh Gruenstein · 진행자 Martin Casado, Raghu RaghuramJosh Gruenstein joins Martin Casado and Raghu Raghuram to discuss human tutors, robot manufacturing and the economics of factory automation.RoboticsAI agents인프라와 배포+2
슬라이드 7장40:04EN
GOTO Conferences· 2026년 11월 2일Sophia Drossopoulou: Verifying Trusted Code in an Open WorldSophia Drossopoulou · Imperial College LondonCapabilities, scoped invariants and explicit trust assumptions help reason about effects when trusted code calls unknown objects.Code review & verificationProgramming LanguagesSoftware engineering
슬라이드 4장51:06EN
GOTO Conferences· 2026년 11월 2일Kent Beck: Build AI Programming Tools for Human NeedsKent BeckThe “genie” can amplify healthy or unhealthy development practices. Beck calls for tools that preserve learning, connection and future options.코딩 에이전트Software engineeringDeveloper productivity+1
1:07:22EN
Latent Space· 2026년 11월 2일팟캐스트 · 3명Building Legal AI Agents Without Seeing Client Data: Legora's Jacob Lauritzen게스트 Jacob Lauritzen · 진행자 swyx, Basil ChathaLegora's CTO explains how its team evaluates legal agents, designs review workflows and builds around the confidentiality of client matters.AI agents엔터프라이즈 AI평가(Evals)+2
슬라이드 3장20:39EN
AI Engineer· 2026년 11월 2일Sagar Batchu: Authorizing AI Agent Actions Before They Reach an APISagar Batchu · SpeakeasyA proposed governance path combines agent identity, permission ceilings, policy decisions and audit records.에이전트 인증AI security안전과 거버넌스+1
슬라이드 2장20:15EN
AI Engineer· 2026년 11월 2일Will Brown on Training Models That Learn From Organizational WorkWill Brown · Prime IntellectPrime Intellect’s Will Brown describes how traces, evaluations and human decisions could support continual learning alongside frontier models.Continual learningAI Product Management평가(Evals)+2
슬라이드 5장18:33EN
AI Engineer· 2026년 11월 2일Zack Proser: Build a Factory to Help Others Tell Their StoriesZack Proser · WorkOSA WorkOS blog assistant and a bedtime-story app show how AI tools can share expertise while humans retain responsibility.CreativityContent StrategyAI agents+1
1:02:12EN
20VC with Harry Stebbings· 2026년 11월 2일팟캐스트 · 2명Modal CEO Erik Bernhardsson on Inference, Compute and Building an AI Platform게스트 Erik Bernhardsson · 진행자 Harry StebbingsErik Bernhardsson discusses GPU capacity, open models, sandbox growth and why Modal is expanding beyond a single infrastructure product.InferenceAI platform engineering인프라와 배포+2
1:32:16ZH
硅谷101· 2026년 11월 2일MaxInsights 袁宇光:如何生产机器人第一视角训练数据게스트 袁宇光 · 진행자 陈茜从头戴设备、全球采集网络到模型评估与部署,袁宇光解释机器人数据生意的扩张及质量挑战。RoboticsData quality & curationScaling Laws+1
슬라이드 2장27:55EN
AI Explained· 2026년 11월 2일AI Safety, Model Releases and the Limits of UnderstandingAI Explained examines lab forecasts, safety commitments and competing model results, then argues for multiple safeguards as capabilities advance.AI Safety안전과 거버넌스Model Interpretability+2
슬라이드 3장18:57EN
AI Engineer· 2026년 11월 2일Andrew Norrish: Code Context for AI-Era Incident ResponseAndrew Norrish · SourcegraphA Sourcegraph engineer describes review pressure and bounded workflows for investigating, preventing and fixing incidents.코딩 에이전트관측 가능성과 안정성개발 워크플로와 테스트+1
슬라이드 5장15:44EN
AI Engineer· 2026년 11월 1일Yijia Liang on Building Office-Compatible Engines for Finance AgentsYijia Liang · Compound AICompound’s approach combines shared agent inboxes, document engines and cited access to large data rooms.에이전트 엔지니어링Software engineeringDeveloper productivity
슬라이드 5장16:37EN
AI Engineer· 2026년 11월 1일Nick Nisi: What a Fruit Fly Code Reviewer Reveals About Human ReviewNick Nisi · WorkOSA simulated fruit fly becomes an unlikely code reviewer—and a starting point for a team-owned automated review pipeline.개발 워크플로와 테스트코딩 에이전트Software engineering+1
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