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1:35:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月1日ポッドキャストUber Burned a Year of Tokens in 13 Weeks. Retrieval Is How Agents Winホスト 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 とナレッジ検索拡張生成(RAG)Agent memory+3
1:26:16EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月9日ポッドキャストMilliseconds to Match: How Criteo Bids on a Billion Anonymous Profilesホスト Nathan LabenzCriteo’s CTO and AI lab head walk through the millisecond auction, the DeepKNN-to-foundation-model stack, and why a live product catalog still beats a frozen LLM.企業と戦略Recommendation systemsEmbeddings+3
1:22:07EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月25日ポッドキャストEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%ホスト Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.モデルと学習金融 AIEmbeddings+3
1:13:23EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月12日ポッドキャストAn AI Found a GABA-Cancer Link. The Next Step Is Talking to the Cells.ホスト Nathan LabenzMichael Levin and Leo Pio Lopez on a multilayer embedding that predicted melanoma, a cancer with no mutations, and why biology's real interface is cognitive.AI for scienceComputational BiologyAI research+3
1:25:10EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月15日ポッドキャストA Tenth of Google's Index, 99.9% Recall: How 20 People Built Brave Searchホスト 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 とナレッジSearch & retrievalHybrid search+3
1:06:54EN
Cognitive Revolution "How AI Changes Everything"· 2024年3月5日ポッドキャストGoogle Gives You 33 Million Results. Exa Wants 54.ホスト 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 とナレッジSearch & retrieval検索拡張生成(RAG)+3
1:26:30EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月24日ポッドキャストMost of this data has never been in a database: Chroma's wartime CTO on RAGホスト 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 とナレッジ検索拡張生成(RAG)Embeddings+3
1:26:20EN
Cognitive Revolution "How AI Changes Everything"· 2023年3月2日ポッドキャストForty Dollars to Index Joe Rogan: Chroma, Shovels, and the Wright Flyer Era of MLホスト 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 とナレッジ検索拡張生成(RAG)Embeddings+3
1:29:03EN
Lex Fridman· 2016年9月27日ポッドキャストFrom Word Vectors to Memory Networks: The Building Blocks of Deep NLPホスト Lex FridmanRichard Socher explains how word embeddings, recurrent models, GRUs, pointer mixtures, and dynamic memory networks turn language tasks into trainable end-to-end systems.モデルと学習Deep Learning機械学習の基礎+2