YoutuBlog (HackerTube): lee charlas y pódcasts de YouTube
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1:37:08EN
Machine Learning Street Talk· 2 nov 2026Pódcast · 2 vocesJoscha Bach on Consciousness, Causal Patterns and Machine MindsInvitado: Joscha Bach · Presenta: Tim ScarfeA discussion of a speculative machine-consciousness hypothesis, the limits of behavioral tests and competing accounts of mind.
16:46EN
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.
1:43:15EN
Chris Williamson· 2 nov 2026Pódcast · 2 vocesJoe Hudson on Decisions, Fear and Living by Your PrinciplesInvitado: Joe Hudson · Presenta: Chris WilliamsonCoach Joe Hudson joins Chris Williamson to explore indecision, emotional avoidance, personal principles and the value of learning through action.
15:51EN
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.
1:01:08EN
Unsupervised Learning: With Jacob Effron· 2 nov 2026Pódcast · 2 vocesNebius CTO Danila Shtan on AI Clouds, Inference and Competition with HyperscalersInvitado: Danila Shtan · Presenta: 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.
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.
40:04EN
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.
51:06ENGOTO 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.
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.
20:39ENAI 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.
20:15ENAI 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.
18:33ENAI 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.
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.
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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。
27:55EN
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.
18:57ENAI 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.
15:44ENAI 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.
16:37ENAI 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.
18:52ENAI 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.
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.
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.
18:45ENAI 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.
27:34ENLatent 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.
17:42ENPragerU· 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.Cargar másMostrando 24 de 4535