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슬라이드 12장17:56EN
AI Engineer· 2026년 10월 25일How Bridgewater Keeps Its AI Analyst Inside Permission BoundariesNikhil Benesch, Aaron Linsky · turbopufferAaron Linsky and Nikhil Benesch explain why search over an enterprise vault must honor document permissions without sacrificing recall or speed. Their solution combines vector indexing with native filtering to search hundreds of millions of vectors in roughly 120 milliseconds.엔터프라이즈 AIPrivacy & data governanceSearch & retrieval+2
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
1:08:54EN
20VC with Harry Stebbings· 2026년 9월 26일팟캐스트 · 2명Parag Agrawal on Web Search and Business Models for AI Agents게스트 Parag Agrawal · 진행자 Harry StebbingsParallel’s co-founder explains why agent search needs different economics, how content owners might be paid and why agent safety requires more than model capability.Search & retrievalAI agentsAI security+2
55:19EN
Sequoia Capital· 2026년 8월 25일팟캐스트Human Click Data Is a Bug: Rebuilding Search for a Web of AgentsParag Agrawal, former Twitter CEO and founder of Parallel Web Systems, argues that agents will query the web a thousand times more than people, and that both search infrastructure and the ad-supported internet have to be rebuilt for that customer.에이전트Search & retrieval에이전트 엔지니어링+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
31:26EN
Sequoia Capital· 2026년 4월 14일팟캐스트ChatGPT Opened 65 Pages to Buy a Shower HeadProfound CEO James Cadwallader argues that the internet's front door is the same, but an agent now walks through it, and marketing has to be rewritten for that visitor.기업과 전략AI in sales & marketingGo-to-Market+3
슬라이드 2장1:37EN
Matthew Berman· 2026년 2월 18일Matthew Berman’s OpenClaw Knowledge BaseMatthew Berman · Forward FutureA personal agent captures links, follows related sources and makes saved material searchable in natural language.Personal agentsRAG와 지식Workflow automation+1
1:52:38EN
Matthew Berman· 2025년 11월 22일Open Models, AI Infrastructure, and Search: Four PerspectivesMatthew Berman, Nick Wentz, Himanshu Tyagi, Misha Laskin, Bryan Catanzaro, Robby Stein · Forward FutureForward Future speaks with leaders from Sentient, Reflection AI, NVIDIA, and Google about openness, scaling, safety, and AI-powered search.Open-weight modelsAI Safety인프라와 배포+2
44:49EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 9월 5일팟캐스트 · 2명How OpenEvidence Became the Clinical OS for 40% of U.S. Doctors진행자 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.RAG와 지식검색 증강 생성(RAG)Search & retrieval+3
45:17EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 8월 7일팟캐스트 · 2명A Click From OpenAI Is 750 Times Harder Than From Google a Decade Ago진행자 Sarah Guo, Elad GilCloudflare CEO Matthew Prince on Content Independence Day, why traffic is a broken proxy for value, and how to price the holes in the models.기업과 전략AI StrategyPricing Strategy+3
슬라이드 2장0:54EN
Matthew Berman· 2025년 6월 6일Matthew Berman Demonstrates ChatGPT Connectors and Deep ResearchMatthew Berman · Forward FutureIn a 2025 demonstration, connected services supply information for a natural-language question about recent HubSpot deals.OpenAIWorkflow automationSearch & retrieval
31:34EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 5월 15일팟캐스트 · 2명One Company Now Holds as Many Documents as the Entire Early Web진행자 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.RAG와 지식엔터프라이즈 AISearch & retrieval+3
30:46EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 4월 24일팟캐스트 · 2명Deep Research Turned Web Browsing into a Trainable Problem진행자 Sarah Guo, Elad GilOpenAI researcher Isa Fulford explains why a side project on read-only synthesis became an agent, when reinforcement fine-tuning is worth it, and why models will hack the search engine you gave them.에이전트에이전트 엔지니어링Reinforcement Learning+3
슬라이드 3장0:51EN
Matthew Berman· 2025년 3월 21일Claude Adds Web Search: A First LookMatthew Berman · Forward FutureMatthew Berman enables Claude’s web search and tries a query about his latest YouTube video in March 2025.AnthropicSearch & retrievalDeveloper productivity
32:46EN
Sequoia Capital· 2025년 2월 25일팟캐스트Don't draw the flowchart: OpenAI's Deep Research team on training agents end to endIsa Fulford and Josh Tobin explain why Deep Research was trained with reinforcement learning on hard browsing tasks instead of a human-written graph of model calls.에이전트에이전트 엔지니어링Reinforcement Learning+3
44:48EN
Sequoia Capital· 2024년 10월 29일팟캐스트Enterprise 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.기업과 전략검색 증강 생성(RAG)Search & retrieval+3
슬라이드 6장24:26EN
Matthew Berman· 2024년 8월 20일SearchGPT vs. Perplexity vs. Google: A 2024 Hands-On ComparisonMatthew Berman · Forward FutureMatthew Berman compares answers, sources, freshness, local results and specialized search tools across three services.Search & retrieval제품과 UXAI Adoption+1
3:02:16EN
Lex Fridman· 2024년 6월 19일팟캐스트 · 2명The journey begins after the answer: Perplexity CEO Aravind Srinivas on search and curiosity게스트 Aravind Srinivas · 진행자 Lex FridmanIn 2022, Perplexity's first hire asked about health insurance — and four PhDs could not get a clear answer from Google.RAG와 지식Product StrategyAI interface design+3
1:25:10EN
Cognitive 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.RAG와 지식Search & retrievalHybrid search+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
슬라이드9:19EN
Matthew Berman· 2024년 3월 28일Trying an Open-Source Answer Engine with Groq and OllamaMatthew Berman · Forward FutureMatthew Berman installs a Perplexity-inspired search app, demonstrates a hosted-model configuration and attempts an unfinished local-model integration.Search & retrievalLocal inferenceOpen Source+2
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
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