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2 diapositives34:48EN
Latent Space· 3 nov. 2026Podcast · 2 voixZach Lloyd on the Infrastructure Behind a Software FactoryInvité : Zach Lloyd · Anime : 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.Agents de codeWorkflows de développement et testsAgent orchestration+2
4 diapositives15:50EN
Theo - t3․gg· 3 nov. 2026Theo 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.Agents de codeOpenAIAI cost & performance
48:08EN
a16z· 3 nov. 2026Andrew 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· 3 nov. 2026Podcast · 2 voixLindsay Owens on Price Experiments, Consumer Data and the Fight for Fair PricesInvité : Lindsay Owens · Anime : Theo VonThe consumer advocate explains her investigations into changing prices and data-driven commerce, and what shoppers and lawmakers can do.Economics
4 diapositives16:29EN
AI Engineer· 3 nov. 2026Why 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 & retrievalRAG et connaissancesEmbeddings+2
Diapositives42:30EN
How I AI· 2 nov. 2026Podcast · 2 voixInside Figma’s PM OS: Ezra Mechaber on Skills, Bug Bashes and Automated ExperimentsInvité : Ezra Mechaber · Anime : 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· 2 nov. 2026Podcast · 2 voixJoscha Bach on Consciousness, Causal Patterns and Machine MindsInvité : Joscha Bach · Anime : Tim ScarfeA discussion of a speculative machine-consciousness hypothesis, the limits of behavioral tests and competing accounts of mind.ConsciousnessPhilosophy of MindCognitive Science+1
2 diapositives16:46EN
Theo - t3․gg· 2 nov. 2026Theo 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.Agents de codeDeveloper productivityWorkflows de développement et tests
1:43:15EN
Chris Williamson· 2 nov. 2026Podcast · 2 voixJoe Hudson on Decisions, Fear and Living by Your PrinciplesInvité : Joe Hudson · Anime : 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
4 diapositives15:51EN
AI Engineer· 2 nov. 2026Adam 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.IA en entrepriseEntreprise et stratégieProductivity
1:01:08EN
Unsupervised Learning: With Jacob Effron· 2 nov. 2026Podcast · 2 voixNebius CTO Danila Shtan on AI Clouds, Inference and Competition with HyperscalersInvité : Danila Shtan · Anime : 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.Infrastructure et déploiementInferenceDistributed training & inference+2
44:57EN
a16z· 2 nov. 2026Podcast · 3 voixTutor Intelligence CEO Josh Gruenstein on Building Robots for Real WorkInvité : Josh Gruenstein · Anime : Martin Casado, Raghu RaghuramJosh Gruenstein joins Martin Casado and Raghu Raghuram to discuss human tutors, robot manufacturing and the economics of factory automation.RoboticsAI agentsInfrastructure et déploiement+2
7 diapositives40:04EN
GOTO Conferences· 2 nov. 2026Sophia 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
4 diapositives51:06EN
GOTO Conferences· 2 nov. 2026Kent 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.Agents de codeSoftware engineeringDeveloper productivity+1
1:07:22EN
Latent Space· 2 nov. 2026Podcast · 3 voixBuilding Legal AI Agents Without Seeing Client Data: Legora's Jacob LauritzenInvité : Jacob Lauritzen · Anime : swyx, Basil ChathaLegora's CTO explains how its team evaluates legal agents, designs review workflows and builds around the confidentiality of client matters.AI agentsIA en entrepriseÉvaluations+2
3 diapositives20:39EN
AI Engineer· 2 nov. 2026Sagar 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.Authentification des agentsAI securitySécurité et gouvernance+1
2 diapositives20:15EN
AI Engineer· 2 nov. 2026Will 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 ManagementÉvaluations+2
5 diapositives18:33EN
AI Engineer· 2 nov. 2026Zack 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· 2 nov. 2026Podcast · 2 voixModal CEO Erik Bernhardsson on Inference, Compute and Building an AI PlatformInvité : Erik Bernhardsson · Anime : Harry StebbingsErik Bernhardsson discusses GPU capacity, open models, sandbox growth and why Modal is expanding beyond a single infrastructure product.InferenceAI platform engineeringInfrastructure et déploiement+2
1:32:16ZH
硅谷101· 2 nov. 2026MaxInsights 袁宇光:如何生产机器人第一视角训练数据Invité : 袁宇光 · Anime : 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
2 diapositives27:55EN
AI Explained· 2 nov. 2026AI 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 SafetySécurité et gouvernanceModel Interpretability+2
3 diapositives18:57EN
AI Engineer· 2 nov. 2026Andrew Norrish: Code Context for AI-Era Incident ResponseAndrew Norrish · SourcegraphA Sourcegraph engineer describes review pressure and bounded workflows for investigating, preventing and fixing incidents.Agents de codeObservabilité et fiabilitéWorkflows de développement et tests+1
5 diapositives15:44EN
AI Engineer· 1 nov. 2026Yijia 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.Ingénierie d’agentsSoftware engineeringDeveloper productivity
5 diapositives16:37EN
AI Engineer· 1 nov. 2026Nick 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.Workflows de développement et testsAgents de codeSoftware engineering+1
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