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1:35:29EN
Cognitive Revolution "How AI Changes Everything"· Sep 1, 2026PodcastUber Burned a Year of Tokens in 13 Weeks. Retrieval Is How Agents WinHost Nathan LabenzMongoDB Field CTO of AI Pete Johnson argues that agent performance now hinges on retrieval quality, not on stuffing million-token context windows.RAG & knowledgeRetrieval-augmented generationAgent memory+3
44:52EN
Sequoia Capital· Jun 24, 2026PodcastAn 80GB Wikipedia Cache Versus a 100GB Model That Holds the InternetEngram’s founders argue that stuffing a company into the context window is the expensive kind of memory—and that baking it into the weights can cut token use by two orders of magnitude.RAG & knowledgeContinual learningFine-tuning+3
44:49EN
No Priors: AI, Machine Learning, Tech, & Startups· Sep 5, 2025Podcast · 2 speakersHow OpenEvidence Became the Clinical OS for 40% of U.S. DoctorsHost Sarah Guo, Elad GilFounder Daniel Nadler tells No Priors how a free search tool for physicians, not an answer engine for patients, took high-stakes clinical knowledge in 18 months.RAG & knowledgeRetrieval-augmented generationSearch & retrieval+3
31:34EN
No Priors: AI, Machine Learning, Tech, & Startups· May 15, 2025Podcast · 2 speakersOne Company Now Holds as Many Documents as the Entire Early WebHost Sarah Guo, Elad GilGlean CEO Arvind Jain tells No Priors why enterprise search was a graveyard, how transformers finally made it work, and why a product that searches too well can be too dangerous to sell.RAG & knowledgeEnterprise AISearch & retrieval+3
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· Feb 15, 2025PodcastShe Never Sees a Row of Your Data. The Answers Still Clear 95%.Host 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 & knowledgeContext engineeringKnowledge graphs+3
44:26EN
Sequoia Capital· Feb 13, 2025PodcastAn AI Application Is Still an ApplicationMongoDB's Sahir Azam tells Sequoia why vector search is a new primitive for unstructured data, not a replacement for transactions, and why retrieval quality is the last mile that gets AI into conservative enterprises.RAG & knowledgeVector searchRetrieval-augmented generation+3
1:21:53EN
Cognitive Revolution "How AI Changes Everything"· Jul 19, 2024PodcastHippoRAG Matches Iterative Retrieval at One-Tenth the Online CostHost Nathan LabenzA hippocampus-inspired knowledge graph lets multi-hop questions skip the brute-force document crawl.RAG & knowledgeRetrieval-augmented generationKnowledge graphs+3
3:02:16EN
Lex Fridman· Jun 19, 2024Podcast · 2 speakersThe journey begins after the answer: Perplexity CEO Aravind Srinivas on search and curiosityGuest Aravind Srinivas · Host Lex FridmanIn 2022, Perplexity's first hire asked about health insurance — and four PhDs could not get a clear answer from Google.RAG & knowledgeProduct StrategyAI interface design+3
1:25:10EN
Cognitive Revolution "How AI Changes Everything"· Jun 15, 2024PodcastA Tenth of Google's Index, 99.9% Recall: How 20 People Built Brave SearchHost Nathan LabenzJosep M. Pujol walks Cognitive Revolution through Brave's privacy-first index, hybrid retrieval stack, and the Search API Nathan Labenz now wants his own product team to use.RAG & knowledgeSearch & retrievalHybrid search+3
36:20EN
No Priors: AI, Machine Learning, Tech, & Startups· Jun 6, 2024Podcast · 2 speakersA Hundred Million Tokens in Context Would Cost $10 Million. Tengyu Ma Runs the RAG MathHost Sarah Guo, Elad GilThe Stanford professor and Voyage AI founder argues that retrieval, not a giant context window, is how enterprises should manage private knowledge.RAG & knowledgeRetrieval-augmented generationEmbeddings+3
1:27:01EN
Cognitive Revolution "How AI Changes Everything"· Apr 8, 2024PodcastThree Million Emails, Ten LLM Calls, Six Models: Shortwave's RAG PlaybookHost Nathan LabenzFirebase founder Andrew Lee walks Nathan Labenz through the retrieval stack that turned a Gmail inbox into a working AI assistant.RAG & knowledgeRetrieval-augmented generationVector search+3
1:23:09EN
Cognitive Revolution "How AI Changes Everything"· Apr 3, 2024PodcastThe Right Size of an AI Task Is Whatever You Can CheckHost Nathan LabenzElicit founders Andreas Stuhlmüller and Jungwon Byun walk through how a twelve-person research assistant cut summary hallucinations from 1.5 to 0.5, ships about every week and a half, and treats task decomposition as the way to spend more compute without a black box.RAG & knowledgeRetrieval-augmented generationSearch & retrieval+3
1:06:54EN
Cognitive Revolution "How AI Changes Everything"· Mar 5, 2024PodcastGoogle Gives You 33 Million Results. Exa Wants 54.Host Nathan LabenzWill Bryk, CEO of Exa, tells Nathan Labenz why search and research are different jobs, and why an AI librarian for the web has to be neural from the first filter.RAG & knowledgeSearch & retrievalRetrieval-augmented generation+3
31:28EN
No Priors: AI, Machine Learning, Tech, & Startups· Feb 22, 2024Podcast · 2 speakersBolt Memory onto GPT-4 and Cut Hallucinations by up to 50%Host Sarah Guo, Elad GilPinecone CEO Edo Liberty tells Sarah Guo and Elad Gil how RAG, serverless vectors, and keeping knowledge outside the model make LLMs more reliable.RAG & knowledgeRetrieval-augmented generationVector search+3
42:07EN
No Priors: AI, Machine Learning, Tech, & Startups· Feb 15, 2024Podcast · 2 speakersNotion’s Ivan Zhao: RAG Will Make Organizing OptionalHost Sarah Guo, Elad GilThe Notion CEO tells No Priors why he bet the company on GPT-4, why embeddings matter as much as agents, and why software is entering a bundling cycle.RAG & knowledgeRetrieval-augmented generationEmbeddings+3
1:53:08EN
Cognitive Revolution "How AI Changes Everything"· Jan 18, 2024PodcastWhen GPT-4 Writes SQL, Four Tables Is the Breaking PointHost Nathan LabenzJuan Sequeda on why a knowledge graph is the accurate, explainable brain that foundation models do not have.RAG & knowledgeKnowledge graphsRetrieval-augmented generation+3
1:32:40EN
Cognitive Revolution "How AI Changes Everything"· Oct 31, 2023PodcastThe Historian Who Taught GPT-3.5 to Beat GPT-4Host Nathan LabenzMark Humphries on a kilometer of unread paper, fur-trade jargon that embeddings cannot see, and why cheap processing will force history to be rewritten.RAG & knowledgeRetrieval-augmented generationFine-tuning+3
1:26:30EN
Cognitive Revolution "How AI Changes Everything"· Oct 24, 2023PodcastMost of this data has never been in a database: Chroma's wartime CTO on RAGHost Nathan LabenzAnton Troynikov returns to The Cognitive Revolution to argue that retrieval quality is mostly the embedding, that Chroma should own the RAG loop, and that GPT still fails a basic Game of Life test of reasoning.RAG & knowledgeRetrieval-augmented generationEmbeddings+3
37:18EN
No Priors: AI, Machine Learning, Tech, & Startups· May 4, 2023Podcast · 2 speakersUse Retrieval for a Wi-Fi Password. Use Experts for a Company's Private Language.Host Sarah Guo, Elad GilGoogle Brain's Kelvin Guu on REALM, FLAN, model surgery, and why personalizing large models is still an unsolved interface problem.RAG & knowledgeRetrieval-augmented generationFine-tuning+3
1:56:16EN
Cognitive Revolution "How AI Changes Everything"· Apr 6, 2023PodcastThey Used Humans as Stand-In AIs. Now 250,000 People Run Elicit.Host Nathan LabenzOught's founders tell Nathan Labenz why open-ended reasoning has to be decomposed, supervised, and grounded—not scaled until it merely looks persuasive.RAG & knowledgeAgent engineeringEvals+3
35:36EN
No Priors: AI, Machine Learning, Tech, & Startups· Mar 16, 2023Podcast · 2 speakersFeatured snippets stalled at 7%. A Google veteran used language models to hit 70%Host Sarah Guo, Elad GilNeeva founder Sridhar Ramaswamy tells No Priors why answers always beat links, why privacy never sold the switch, and why most queries do not need the biggest model.RAG & knowledgeRetrieval-augmented generationSearch & retrieval+3
1:26:20EN
Cognitive Revolution "How AI Changes Everything"· Mar 2, 2023PodcastForty Dollars to Index Joe Rogan: Chroma, Shovels, and the Wright Flyer Era of MLHost Nathan LabenzChroma co-founder Anton Troynikov on embeddings as the storage layer for language-model apps, Stable Attribution, and why machine learning is still flying on intuition.RAG & knowledgeRetrieval-augmented generationEmbeddings+3
2:52:56EN
Lex Fridman· Sep 15, 2021Podcast · 2 speakersDouglas Lenat's 37-Year Bet That Common Sense Can Be Written DownGuest Douglas Lenat · Host Lex FridmanSince 1984, Cyc has been encoding the unstated rules of the world so machines can reason instead of merely pattern-match.RAG & knowledgeAI HistoryAGI+1
20:34EN
Lex Fridman· Oct 26, 2019Podcast · 2 speakersTeaching Machines the Frameworks Humans Take for GrantedGuest David Ferrucci · Host Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.RAG & knowledgeAI researchAGI+3
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