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1:35:29EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 1일팟캐스트Uber Burned a Year of Tokens in 13 Weeks. Retrieval Is How Agents Win진행자 Nathan LabenzMongoDB Field CTO of AI Pete Johnson argues that agent performance now hinges on retrieval quality, not on stuffing million-token context windows.
1:26:16ENCognitive Revolution "How AI Changes Everything"· 2026년 5월 9일팟캐스트Milliseconds to Match: How Criteo Bids on a Billion Anonymous Profiles진행자 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.
1:22:07ENCognitive Revolution "How AI Changes Everything"· 2025년 9월 25일팟캐스트Every payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%진행자 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.
1:13:23ENCognitive Revolution "How AI Changes Everything"· 2024년 10월 12일팟캐스트An AI Found a GABA-Cancer Link. The Next Step Is Talking to the Cells.진행자 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.
1:25:10ENCognitive Revolution "How AI Changes Everything"· 2024년 6월 15일팟캐스트A Tenth of Google's Index, 99.9% Recall: How 20 People Built Brave Search진행자 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.
1:06:54ENCognitive Revolution "How AI Changes Everything"· 2024년 3월 5일팟캐스트Google Gives You 33 Million Results. Exa Wants 54.진행자 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.
1:26:30ENCognitive Revolution "How AI Changes Everything"· 2023년 10월 24일팟캐스트Most of this data has never been in a database: Chroma's wartime CTO on RAG진행자 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.
1:26:20ENCognitive Revolution "How AI Changes Everything"· 2023년 3월 2일팟캐스트Forty Dollars to Index Joe Rogan: Chroma, Shovels, and the Wright Flyer Era of ML진행자 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.
1:29:03EN
Lex Fridman· 2016년 9월 27일팟캐스트From Word Vectors to Memory Networks: The Building Blocks of Deep NLP진행자 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.