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44:57EN
a16z· 2 nov 2026Pódcast · 3 vocesTutor Intelligence CEO Josh Gruenstein on Building Robots for Real WorkInvitado: Josh Gruenstein · Presenta: Martin Casado, Raghu RaghuramJosh Gruenstein joins Martin Casado and Raghu Raghuram to discuss human tutors, robot manufacturing and the economics of factory automation.RoboticsAI agentsInfraestructura y despliegue+2
7 diapositivas40:04EN
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 diapositivas51:06EN
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.Agentes de programaciónSoftware engineeringDeveloper productivity+1
1:07:22EN
Latent Space· 2 nov 2026Pódcast · 3 vocesBuilding Legal AI Agents Without Seeing Client Data: Legora's Jacob LauritzenInvitado: Jacob Lauritzen · Presenta: 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 empresarialEvaluaciones+2
3 diapositivas20:39EN
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.Autenticación de agentesAI securitySeguridad y gobernanza+1
2 diapositivas20:15EN
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 ManagementEvaluaciones+2
5 diapositivas18:33EN
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 2026Pódcast · 2 vocesModal CEO Erik Bernhardsson on Inference, Compute and Building an AI PlatformInvitado: Erik Bernhardsson · Presenta: Harry StebbingsErik Bernhardsson discusses GPU capacity, open models, sandbox growth and why Modal is expanding beyond a single infrastructure product.InferenceAI platform engineeringInfraestructura y despliegue+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Invitado: 袁宇光 · Presenta: 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 diapositivas27:55EN
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 SafetySeguridad y gobernanzaModel Interpretability+2
3 diapositivas18:57EN
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.Agentes de programaciónObservabilidad y fiabilidadFlujos de desarrollo y pruebas+1
5 diapositivas15:44EN
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.Ingeniería de agentesSoftware engineeringDeveloper productivity
5 diapositivas16:37EN
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.Flujos de desarrollo y pruebasAgentes de programaciónSoftware engineering+1
18:52EN
AI Engineer· 1 nov 2026Hahnbee Lee and Lincoln Murr on Documentation and Payments for AI AgentsHahnbee Lee, Lincoln Murr · MintlifyAs agents increasingly read docs and use services, Mintlify and Coinbase describe the importance of accurate content, APIs, payment permissions and maintenance.Ingeniería de agentesAgentic commerceDeveloper productivity
1:27:47EN
Lenny's Podcast· 1 nov 2026Pódcast · 2 vocesHector Serrano on Building a Paid Creator Program at Wispr FlowInvitado: Hector Serrano · Presenta: Lenny RachitskyHow a creator-led growth team recruits, compensates and supports paid UGC creators—and uses founder storytelling alongside ads.Growth StrategyCreator EconomyContent Strategy+1
1:09:46EN
PragerU· 1 nov 2026Rob McCoy and Shabbos Kestenbaum on the Ten Commandments, Family and FaithShabbos Kestenbaum, Rob McCoy · PragerUA Christian pastor and an Orthodox Jewish host discuss the religious meaning of the commandments and their application to family, community and public life.ReligionPhilosophy
Diapositivas18:45EN
AI Engineer· 1 nov 2026Ramakrishnan Lokanathan: Evaluate the AI Agent’s Job, Not Just Its AnswerRamakrishnan LokanathanA practical framework for testing complete AI workflows, combining human feedback and regression checks with more challenging evaluations.Ingeniería de agentesAI SafetyMachine Learning
27:34EN
Latent Space· 31 oct 2026Pódcast · 3 vocesJoseph Kim on Building AI Tools for Financial WorkInvitado: Joseph Kim · Presenta: swyx, RichardOpenAI’s Joseph Kim discusses data, human review, taste and evaluations in building a financial-services product.IA en finanzasIA empresarialValidación con humanos en el bucle+2
17:42EN
PragerU· 31 oct 2026Tanya Tsikanovsky on Homelessness and Local Politics in West HollywoodShabbos Kestenbaum, Tanya Tsikanovsky · PragerUThe City Council candidate discusses housing, immigration and identity after a public comment at a Los Angeles council meeting.Political Philosophy
2:38:15EN
PowerfulJRE· 31 oct 2026Pódcast · 3 vocesJoe Rogan with Francis Foster and Konstantin Kisin on Politics, Purpose and Life After AIInvitado: Francis Foster, Konstantin Kisin · Presenta: Joe RoganThe TRIGGERnometry hosts join Rogan for a wide-ranging discussion of online outrage, politics, religion, work and the future of AI. Their political and historical assertions include speculation and are presented as the speakers’ views.Political PhilosophySocial MediaHuman-AI Collaboration+1
24:30EN
a16z· 31 oct 2026Pódcast · 4 vocesKurtis Blow, Nas and Rev Run on Hip-Hop’s Early DaysInvitado: Kurtis Blow, Rev Run, Roxanne Shanté · Presenta: NasThe artists trace a path from Harlem and Bronx parties to mentorship, touring and a song that connected generations.HistoryCreativityStorytelling
1:26:42EN
Cognitive Revolution "How AI Changes Everything"· 31 oct 2026Pódcast · 7 vocesAI:AM on Alignment, Memory Chips and an Agent-Run EconomyInvitado: Anastasios Angelopoulos, Debo Olaosebikan, Samvit Ramadurgam, Michael Freeman, Sagar Vaze · Presenta: Nathan Labenz, Prakash NarayananThe Cognitive Revolution’s hosts examine reported model behavior, new memory hardware, work and cyber risk with guests from Arena, Kepler, Union, ServiceNow and Mistral.Evaluaciones y observabilidadAI AlignmentAI security+2
8 diapositivas21:39EN
AI Engineer· 31 oct 2026Jeff Smith on Safer Database Access for AI AgentsJeff Smith · OracleOracle’s Jeff Smith explains why generated SQL can be misleading and shows how reviewed reports, schema context and database-level controls can limit agent risk.Natural-language database queriesMCP y herramientasIngeniería de contexto+2
26:05EN
Latent Space· 31 oct 2026Pódcast · 2 vocesAman Singh on AI Agents for Long-Running Financial Work at ArcaInvitado: Aman Singh · Presenta: Richard MacManusArca’s AI platform lead explains its agent harness, persistent memory, human approvals and verification layers.Ingeniería de agentesIA en finanzasSeguridad y gobernanza+2
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