YoutuBlog (HackerTube): lee charlas y pódcasts de YouTube
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15:28EN
AI Engineer· 9 nov 2026Ryan Carson: One manager agent coordinates 20 coding agentsRyan Carson · UntangleUntangle delegates coding, review and merge coordination to agents, but its founder watches each feature before approving shipment.
1:50:34ENAI Engineer· 9 nov 2026A financial AI agent must show its workFrancesco Galletta, Felippe Felisola Caso · MonzoA wedding-budget demo pairs tested calculations with evidence, decision gates and independent checks.
19:50ENAI Engineer· 9 nov 2026Keiji Kanazawa rebuilt his agent system after reading its codeKeiji Kanazawa · MicrosoftA three-week refactor produced fake agents and expensive tests. He rebuilt around explicit goals and evaluations.
20:51ENAI Engineer· 9 nov 2026Jason Mancuso: Scaling agent reinforcement learning across mixed GPUsJason Mancuso · ModalModal combines asynchronous rollouts, mismatch corrections and compressed weight updates to train coding agents across a fragmented GPU fleet.
24:47EN
How I AI· 9 nov 2026PódcastClaire Vo: Fable 5.2 excels at creative builds, but not every designA marketing animation, furniture guide and 3D typewriter impressed Vo; independently generated website designs did not.
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Matthew Berman· 9 nov 2026Fable 5.2 built playable demos—but several cost thousandsMatthew Berman · Forward FutureMatthew Berman shows games, creative software and simulations, with estimated API costs from $25 to $15,000.
18:32ENAI Engineer· 8 nov 2026Why a plausible contract analysis missed $800,000Natalia Connolly, Kevin Madura · AlixPartnersAlixPartners’ Natalia Connolly and Kevin Madura show how missing links, renewal clauses and silent access errors can derail an AI procurement analysis.
23:15EN
Latent Space· 8 nov 2026Pódcast · 2 vocesJay Parikh: GitHub must adapt as coding agents change developmentInvitado: Jay Parikh · Presenta: Shawn WangGitHub's scale, model choices and security are changing as agents join developers, says Microsoft CoreAI's Jay Parikh.
58:33EN
Lenny's Podcast· 8 nov 2026Pódcast · 2 vocesGemini’s product chief on testing models and building ahead of themInvitado: Tulsee Doshi · Presenta: Lenny RachitskyTulsee Doshi explains a small-eval starting point, her 60-20-20 product framework and why model behavior itself is a user experience.
46:40EN
Peter Yang· 8 nov 2026Pódcast · 2 vocesAshley Alexander: How AI Helps Me Care for My Parents With CancerInvitado: Ashley Alexander · Presenta: Peter YangA caregiver uses AI to prepare for appointments, organize records and ask better questions—while keeping doctors at the center of treatment.
12:38EN
Chris Williamson· 8 nov 2026Pódcast · 2 vocesWhat makes AI-generated work feel like slop?Presenta: Chris WilliamsonChris Williamson and his guest ask creators to explain their judgments, and to distinguish a tool’s defaults from intentional craft.
18:56ENAI Engineer· 8 nov 2026How Citadel Securities builds a memory that catches troubled projectsJoao Wenzel · Citadel SecuritiesJoao Wenzel describes an agent system that weighs evidence, tracks aging facts and tests its warnings against what happened next.
18:39ENAI Engineer· 8 nov 2026How Ramp tests a bookkeeping agent before and after launchRyan Stevens · RampRyan Stevens explains synthetic businesses, all-or-nothing scoring, skill ablation and a two-period test for agent memory.
16:09ENAI Engineer· 8 nov 2026How Range’s financial planners built their own AI workflowsMatt Ragone · RangeMatt Ragone’s team used real cases and existing advice standards to build skills, while keeping a certified planner’s review before client delivery.
20:28ENAI Engineer· 8 nov 2026Why AI coding gains depend on more than faster code generationMartin Harrysson, Prakhar Dixit · McKinseyMcKinsey speakers describe smaller teams, shorter loops, curated context and quality checks observed among enterprise clients.
1:21:42EN
Y Combinator· 8 nov 2026What AI biology can do now, from cancer data to DNA designAlfredo Gonzalez, Yusuf Roohani, Garyk Brixi, Divya NoriFour researchers explain patient-specific cancer analysis, virtual cells and genome models, separating early experiments from proposed clinical applications.
31:22ENAI Engineer· 7 nov 2026Nouha Dziri on Making Coding-Agent Teams More Cost-EfficientNouha Dziri · CohereExperiments on ProgramBench and Commit0 show why the task bottleneck, lead model and coordination design matter more than simply adding agents.
20:08ENMatthew Berman· 7 nov 2026METR Finds Faster AI Research at Anthropic, With Major UncertaintyMatthew Berman · Forward FutureMatthew Berman examines an independent assessment of AI-assisted R&D and the limits on its access to evidence.
19:34ENAI Engineer· 7 nov 2026How Cloud Agents Help Review Changes to a Security MasterAmol Kapoor, Clifford Ressel · Nori AgenticAmol Kapoor and Clifford Ressel explain why private-asset data is difficult to reconcile and how an agent assists human reviewers.
57:17EN
20VC with Harry Stebbings· 7 nov 2026Pódcast · 2 vocesScott Wilson on WashU’s Endowment, Concentration and Co-InvestingInvitado: Scott Wilson · Presenta: Harry StebbingsWashU’s CIO explains its manager relationships, direct investments, liquidity constraints and views on private-market valuations.
13:27ENAI Engineer· 7 nov 2026A Financial Agent Must Show How It Reached Its DecisionAnirudh Veeraragavan · FieldguideAnirudh Veeraragavan uses a bank reconciliation to show how to make an agent’s work reviewable.
18:09EN
PragerU· 7 nov 2026Owen Anderson Discusses His ASU Training LawsuitShabbos Kestenbaum, Owen Anderson · PragerUThe professor describes his challenge to diversity training and a separate dispute over his courses; ASU disputes his discrimination allegations.
17:35ENAI Engineer· 7 nov 2026Agent Infrastructure Needs Persistent State and Elastic ComputeAkshat Bubna · ModalModal CTO Akshat Bubna explains how sandboxes, shared storage and network controls support agents at scale.
1:26:17EN
Cognitive Revolution "How AI Changes Everything"· 7 nov 2026Pódcast · 5 vocesAI Forecasts, GPU Markets and the Question of What to BuildInvitado: Brian Zhou, Mike San Miguel, Bryan Bischof · Presenta: Nathan Labenz, Prakash NarayananNathan Labenz and Prakash Narayanan examine AI acceleration through election forecasting, compute trading and venture research.Cargar másMostrando 24 de 6152