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1:45:59EN
Cognitive Revolution "How AI Changes Everything"· 10 jun 2026Pódcast87% of Workers Use AI. Only 13% Say the Company Got Better.Presenta: Nathan LabenzGlean’s Work AI Index names the missing hours: botsitting, botshitting, and a hamster wheel of polished nonsense.Empresa y estrategiaIA empresarialHuman-AI Collaboration+3
39:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 23 abr 2026Pódcast · 2 voces400,000 Customers, 20,000 APIs: SAP's CTO on the Hard Exam of Enterprise AIPresenta: Sarah Guo, Elad GilPhilipp Herzig tells No Priors how SAP is rebuilding the company operating system for AI, and why scale, evals, and pricing will decide who wins.Empresa y estrategiaIA empresarialAI Strategy+3
1:41:34EN
Cognitive Revolution "How AI Changes Everything"· 20 nov 2025PódcastChat Is the Universal Interface—and Often the Worst OnePresenta: Nathan LabenzAtlassian's head of AI on fighting slop with taste, knowledge, and workflow, and why chat is a terminal, not a product.Empresa y estrategiaAI interface designProduct Strategy+3
39:06EN
Sequoia Capital· 12 ago 2025PódcastHe Couldn't Ask His Grandfather What to Do, So He Built a Digital MindOn Sequoia's Training Data, Delphi founder Dara Ladjevardian explains how authorized digital minds turn people into conversational media without replacing them.Producto y UXCompany BuildingProduct Strategy+3
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 15 feb 2025PódcastShe Never Sees a Row of Your Data. The Answers Still Clear 95%.Presenta: Nathan LabenzIllumex CEO Inna Tokarev Sela tells Nathan Labenz how a Platonic industry ontology, trained only on metadata, collapses enterprise software into one conversation.RAG y conocimientoIngeniería de contextoKnowledge graphs+3
52:06EN
Sequoia Capital· 21 ene 2025PódcastLinkedIn spent five years on graph neural nets. She wants any company to see value in four weeksKumo co-founder Hema Raghavan argues that the graph was always sitting in your warehouse tables — and that a SQL-like predict clause is how ordinary companies finally get to use it.Empresa y estrategiaIA empresarialGo-to-Market+3
44:48EN
Sequoia Capital· 29 oct 2024PódcastEnterprise Google Failed for Twenty Years. A Search Veteran Finally Made It Work.Glean CEO Arvind Jain on why company search is harder than the public web, why RAG lives or dies on retrieval, and what work looks like when every employee has an AI assistant.Empresa y estrategiaGeneración aumentada por recuperaciónSearch & retrieval+3
1:21:53EN
Cognitive Revolution "How AI Changes Everything"· 19 jul 2024PódcastHippoRAG Matches Iterative Retrieval at One-Tenth the Online CostPresenta: Nathan LabenzA hippocampus-inspired knowledge graph lets multi-hop questions skip the brute-force document crawl.RAG y conocimientoGeneración aumentada por recuperaciónKnowledge graphs+3
4:56EN
Cognitive Revolution "How AI Changes Everything"· 1 feb 2024PódcastIf the Mind Is a Tool, AI Looks Less Like a ThreatPresenta: Nathan LabenzYohei Nakajima and Nathan Labenz pause a TED AI talk to connect agent-building habits with East–West ideas of identity.AgentesIngeniería de agentesKnowledge graphs+3
1:53:08EN
Cognitive Revolution "How AI Changes Everything"· 18 ene 2024PódcastWhen GPT-4 Writes SQL, Four Tables Is the Breaking PointPresenta: Nathan LabenzJuan Sequeda on why a knowledge graph is the accurate, explainable brain that foundation models do not have.RAG y conocimientoKnowledge graphsGeneración aumentada por recuperación+3
2:52:56EN
Lex Fridman· 15 sept 2021Pódcast · 2 vocesDouglas Lenat's 37-Year Bet That Common Sense Can Be Written DownInvitado: Douglas Lenat · Presenta: Lex FridmanSince 1984, Cyc has been encoding the unstated rules of the world so machines can reason instead of merely pattern-match.RAG y conocimientoAI HistoryAGI+1
20:34EN
Lex Fridman· 26 oct 2019Pódcast · 2 vocesTeaching Machines the Frameworks Humans Take for GrantedInvitado: David Ferrucci · Presenta: Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.RAG y conocimientoAI researchAGI+3