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スライド 12 枚17:56EN
AI Engineer· 2026年10月25日How 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.エンタープライズ AIPrivacy & data governanceSearch & retrieval+2
44:49EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年9月5日ポッドキャスト · 2 人How OpenEvidence Became the Clinical OS for 40% of U.S. Doctorsホスト 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 とナレッジ検索拡張生成(RAG)Search & retrieval+3
45:17EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年8月7日ポッドキャスト · 2 人A Click From OpenAI Is 750 Times Harder Than From Google a Decade Agoホスト 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.企業と戦略AI StrategyPricing Strategy+3
31:34EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年5月15日ポッドキャスト · 2 人One Company Now Holds as Many Documents as the Entire Early Webホスト 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 とナレッジエンタープライズ AISearch & retrieval+3
30:46EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年4月24日ポッドキャスト · 2 人Deep Research Turned Web Browsing into a Trainable Problemホスト 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.エージェントエージェント工学Reinforcement Learning+3
3:02:16EN
Lex Fridman· 2024年6月19日ポッドキャスト · 2 人The journey begins after the answer: Perplexity CEO Aravind Srinivas on search and curiosityゲスト Aravind Srinivas · ホスト Lex FridmanIn 2022, Perplexity's first hire asked about health insurance — and four PhDs could not get a clear answer from Google.RAG とナレッジProduct StrategyAI interface design+3
38:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年1月31日ポッドキャスト · 2 人Shopify Built a Copilot, Not an Autopilot, for Every Merchantホスト Sarah Guo, Elad GilShopify VP of Core Product Glen Coates on collapsing duplicate engines, shipping AI that proposes but never commits, and teaching storefront search to understand a sweater.プロダクトと UXAI Product ManagementProduct Strategy+3
46:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年1月18日ポッドキャスト · 2 人After a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the modelホスト Sarah Guo, Elad GilBeyang Liu on Cody, why keyword search still does most of RAG, and why CS fundamentals get more valuable as AI compresses the middleware.コーディングエージェント検索拡張生成(RAG)コンテキストエンジニアリング+3
3:11:35EN
Lex Fridman· 2023年6月21日ポッドキャスト · 2 人Search was always a hack: Marc Andreessen on AI, truth, and the next internetゲスト Marc Andreessen · ホスト Lex FridmanLex Fridman sits down with the Mosaic co-creator and Andreessen Horowitz founder to ask whether Google Search, the browser, and open-source AI survive the decade.企業と戦略Search & retrievalSynthetic data+3
39:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年3月23日ポッドキャスト · 2 人Never Cite More Than Five Links: Perplexity's Bet on Answer Enginesホスト Sarah Guo, Elad GilFounded in August 2022, Perplexity was barely seven months old when its CEO and CTO sat down with No Priors to explain how an answer engine takes on Google.プロダクトと UXCompany BuildingAI startups & small teams+3
35:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年3月16日ポッドキャスト · 2 人Featured snippets stalled at 7%. A Google veteran used language models to hit 70%ホスト 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 とナレッジ検索拡張生成(RAG)Search & retrieval+3
1:45:58EN
Lex Fridman· 2019年12月14日ポッドキャスト · 2 人Nine of ten colleagues said far-field speech was impossibleゲスト Rohit Prasad · ホスト Lex FridmanRohit Prasad, Amazon’s vice president and head scientist for Alexa, talks with Lex Fridman about conversational AI, the Alexa Prize, trust, and why a 20-minute chat is still years away.エージェント音声 AIAI interface design+3
1:21:38EN
Lenny's Podcastポッドキャスト · 2 人Search Isn't Dying, It's Expanding: Robby Stein on Google's AI Mode and Building Products Relentlesslyゲスト Robby Stein · ホスト Lenny RachitskyGoogle Search's VP of Product explains how AI Overviews, Lens and AI Mode fit together, and the product principles he carried from Instagram Stories to Google.プロダクトと UXSearch & retrievalAI interface design+3
1:11:56EN
Lenny's Podcastポッドキャスト · 2 人How to Get ChatGPT to Recommend Your Product: A Practical Guide to Answer Engine Optimizationゲスト Ethan Smith · ホスト Lenny RachitskyGraphite CEO Ethan Smith explains how AEO differs from SEO, which levers move the needle, and how to measure and test what works.企業と戦略AI in sales & marketingGo-to-Market+3
32:41EN
Lex Fridmanポッドキャスト · 2 人How IBM Watson Won Jeopardy: A Moonshot Built on Engineering, Not a Breakthroughゲスト David Ferrucci · ホスト Lex FridmanDavid Ferrucci tells Lex Fridman how he talked IBM into the Jeopardy challenge and how his team built Watson's search, scoring and confidence machinery in about four years.モデルと学習AI HistorySearch & retrieval+1