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슬라이드 9장20:58EN
AI Engineer· 2026년 10월 25일Vinoo Ganesh on Making Financial AI Cite Every NumberVinoo Ganesh · KeplerKepler CEO Vinoo Ganesh explains why financial AI should retrieve and cite figures while deterministic software handles the math. His design makes traceability, retrieval quality, and tenant security part of the answer itself.금융 AI엔터프라이즈 AI검색 증강 생성(RAG)+2
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.RAG와 지식검색 증강 생성(RAG)Agent memory+3
2:38:48EN
Cognitive Revolution "How AI Changes Everything"· 2026년 4월 26일팟캐스트A thousand searches for five cents, and a high score that did not require cheating진행자 Nathan LabenzOn a Cognitive Revolution morning show, Ceramic’s Anna Patterson collides cheap search with GPT-5.5’s clean Vending-Bench run, Zvi’s case for model welfare, and analog chips that cut matrix-multiply energy about thirtyfold.기업과 전략검색 증강 생성(RAG)Search & retrieval+3
1:40:51EN
Cognitive Revolution "How AI Changes Everything"· 2026년 1월 14일팟캐스트Reasoning Models Just Made the Other 80–90% of Enterprise Data Usable진행자 Nathan LabenzSnowflake VP of AI Baris Gultekin on text-to-SQL, RAG, agent design, and why inference has to run next to governed data.기업과 전략검색 증강 생성(RAG)엔터프라이즈 AI+3
1:41:34EN
Cognitive Revolution "How AI Changes Everything"· 2025년 11월 20일팟캐스트Chat Is the Universal Interface—and Often the Worst One진행자 Nathan LabenzAtlassian's head of AI on fighting slop with taste, knowledge, and workflow, and why chat is a terminal, not a product.기업과 전략AI interface designProduct Strategy+3
1:55:12EN
Cognitive Revolution "How AI Changes Everything"· 2025년 11월 8일팟캐스트28,000 Documents, a 3B Model, 22 People: The Technical Ledger of Catholic AI진행자 Nathan LabenzLongbeard CEO Matthew Harvey Sanders tells The Cognitive Revolution how a mission-driven team is aligning models to the Catholic magisterium — and why fine-tuning was not enough.모델과 학습검색 증강 생성(RAG)파인튜닝+3
1:37:25EN
Cognitive Revolution "How AI Changes Everything"· 2025년 10월 5일팟캐스트Fin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few Points진행자 Nathan LabenzEoghan McCabe and Fergal Reid on production A/B tests, 99-cent outcome pricing, and why GPT-4 was already smart enough for most customer service.에이전트에이전트 엔지니어링검색 증강 생성(RAG)+3
1:25:12EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 27일팟캐스트He Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line Repo진행자 Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.코딩 에이전트컨텍스트 엔지니어링검색 증강 생성(RAG)+3
56:07EN
Cognitive Revolution "How AI Changes Everything"· 2025년 1월 29일팟캐스트Box Holds 100 Billion Files. Its CEO Says Enterprises Only Move for a 10x진행자 Nathan LabenzAaron Levie tells Nathan Labenz why AI excitement in the enterprise already outruns the early cloud — and why 98% reliability, seat-based SaaS, and incremental savings still will not ship.기업과 전략엔터프라이즈 AIAI Strategy+3
1:29:00EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 11일팟캐스트14,000 people applied. Thirty-three got in. The jobs are at Homeland Security.진행자 Nathan LabenzMichael Boyce, director of the DHS AI Corps, tells Nathan Labenz how the largest civilian AI team in the U.S. government is being built — and what it is already shipping.기업과 전략엔터프라이즈 AIAI Strategy+3
1:55:53EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 5일팟캐스트AI Beats Humans at Reading Papers. It Still Cannot Count Atoms.진행자 Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.에이전트AI for science검색 증강 생성(RAG)+3
55:16EN
Cognitive Revolution "How AI Changes Everything"· 2024년 10월 31일팟캐스트Gemini’s API Grew 14× in Six Months. Google’s PMs Explain the Catch-Up.진행자 Nathan LabenzLogan Kilpatrick and Shrestha Basu Mallick walk through search grounding, Gemini Flash’s price-latency quadrant, and why a near-tied leaderboard still leaves Google third in most developers’ queues.제품과 UX검색 증강 생성(RAG)AI cost & performance+3
2:03:55EN
Cognitive Revolution "How AI Changes Everything"· 2024년 9월 18일팟캐스트The More You Constrain an Agent, the More You Can Trust It진행자 Nathan LabenzAgent.ai engineering lead Andrei Oprisan tells Nathan Labenz why narrow, highly prescribed workflows beat open-ended autonomy — and how a 12-person team shipped a free agent network past 40,000 users in a few months.에이전트에이전트 엔지니어링Workflow automation+3
1:51:00EN
Cognitive Revolution "How AI Changes Everything"· 2024년 8월 21일팟캐스트Start With Ten Gold Examples: A Three-Step Playbook for AI Automation진행자 Nathan LabenzThe day after OpenAI opened GPT-4o fine-tuning, Nathan Labenz unpacks a three-year method for choosing work, extracting tacit judgment, and raising model performance.기업과 전략Workflow automationPrompting & in-context learning+3
1:21:53EN
Cognitive Revolution "How AI Changes Everything"· 2024년 7월 19일팟캐스트HippoRAG Matches Iterative Retrieval at One-Tenth the Online Cost진행자 Nathan LabenzA hippocampus-inspired knowledge graph lets multi-hop questions skip the brute-force document crawl.RAG와 지식검색 증강 생성(RAG)Knowledge graphs+3
1:27:01EN
Cognitive Revolution "How AI Changes Everything"· 2024년 4월 8일팟캐스트Three Million Emails, Ten LLM Calls, Six Models: Shortwave's RAG Playbook진행자 Nathan LabenzFirebase founder Andrew Lee walks Nathan Labenz through the retrieval stack that turned a Gmail inbox into a working AI assistant.RAG와 지식검색 증강 생성(RAG)Vector search+3
1:23:09EN
Cognitive Revolution "How AI Changes Everything"· 2024년 4월 3일팟캐스트The Right Size of an AI Task Is Whatever You Can Check진행자 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.RAG와 지식검색 증강 생성(RAG)Search & retrieval+3
1:28:37EN
Cognitive Revolution "How AI Changes Everything"· 2024년 3월 14일팟캐스트Twelve Hours After a GPT-4 Demo, He Turned a Decade-Old Legal Startup Around진행자 Nathan LabenzPablo Arredondo, co-founder of CaseText and now VP of CoCounsel at Thomson Reuters, traces legal research from 19th-century citators to a retrieval-anchored GPT-4 product that law firms treat more like a colleague than a search box.기업과 전략검색 증강 생성(RAG)평가(Evals)+3
1:06:54EN
Cognitive 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.RAG와 지식Search & retrieval검색 증강 생성(RAG)+3
1:32:19EN
Cognitive Revolution "How AI Changes Everything"· 2024년 2월 29일팟캐스트His 2018 Prompting Paper Was Rejected. His Search API Now Beats Google진행자 Nathan LabenzRichard Socher traces You.com from a rejected unified NLP model to an LLM-native web index, three assistant modes, and a very low P(doom).제품과 UX검색 증강 생성(RAG)Search & retrieval+3
1:53:08EN
Cognitive Revolution "How AI Changes Everything"· 2024년 1월 18일팟캐스트When GPT-4 Writes SQL, Four Tables Is the Breaking Point진행자 Nathan LabenzJuan Sequeda on why a knowledge graph is the accurate, explainable brain that foundation models do not have.RAG와 지식Knowledge graphs검색 증강 생성(RAG)+3
1:50:57EN
Cognitive Revolution "How AI Changes Everything"· 2024년 1월 12일팟캐스트Twenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry Experiment진행자 Nathan LabenzGabe Gomes and his Carnegie Mellon students built Coscientist, a language-model agent that plans, codes, and executes real experiments on a remote cloud lab.에이전트AI for science에이전트 엔지니어링+3
1:32:40EN
Cognitive Revolution "How AI Changes Everything"· 2023년 10월 31일팟캐스트The Historian Who Taught GPT-3.5 to Beat GPT-4진행자 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.RAG와 지식검색 증강 생성(RAG)파인튜닝+3
1:26:30EN
Cognitive 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.RAG와 지식검색 증강 생성(RAG)Embeddings+3
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