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26:41ENAnekha Sokhal on Moshi, a Recommendation Engine for Commodity TradersInvitado: Anekha Sokhal · Presenta: swyxThe Moshi founder tells swyx how she would rebuild a trader’s workflow: connect market data, private files and conflicting sources, then push the second-order effects people would otherwise miss. The hard part is not the dashboard. It is getting someone to actually use it.
1:45:59EN87% 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.
39:48EN400,000 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.
1:41:34ENChat 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.
39:06ENHe 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.
1:29:02ENShe 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.
52:06ENLinkedIn 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.
44:48ENEnterprise 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.
1:21:53ENHippoRAG 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.
4:56ENIf 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.
1:53:08ENWhen 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.
2:52:56ENDouglas 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.
20:34ENTeaching 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.








