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31:29EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 9월 25일팟캐스트 · 2명Rippling skipped the chatbot and stamped employees after 90 days of work진행자 Sarah Guo, Elad GilCOO Matt MacInnis tells No Priors how Talent Signal reads source code, tickets, and customer conversations, then gives managers one calibrated label: high potential, typical, or pay attention.
50:33EN
Sequoia Capital· 2024년 8월 20일팟캐스트The 40% data-center save started with an email that ended in a question markPhaidra founder Jim Gao tells Sequoia how an AlphaGo-inspired bet at Google became reinforcement learning that runs billion-dollar plants.
49:50ENSequoia Capital· 2024년 6월 18일팟캐스트Unconstrained agents captivated Twitter. Custom ones are what ship.LangChain founder Harrison Chase tells Sequoia’s Training Data what an agent actually is, why AutoGPT stalled, and which cognitive architectures reach production.
39:00ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024년 5월 22일팟캐스트 · 2명JPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.진행자 Sarah Guo, Elad GilScale AI founder Alexandr Wang tells No Priors why easy internet data is exhausted, why expert-plus-model teams still win, and why the path to AGI looks more like curing cancer than inventing a vaccine.
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.
1:28:37ENCognitive 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.
38:48ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024년 1월 31일팟캐스트 · 2명Shopify Built a Copilot, Not an Autopilot, for Every Merchant진행자 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.
50:07ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023년 6월 1일팟캐스트 · 2명Cheap Volume Beats Gold-Plated Jets: Anduril’s Brian Schimpf on AI and Defense진행자 Sarah Guo, Elad GilThe Anduril CEO on Lattice, a school-bus-sized autonomous submarine, why Ukraine made fighter attrition unworkable, and how you actually sell a capability to the Pentagon.
1:33:51ENCognitive Revolution "How AI Changes Everything"· 2023년 5월 23일팟캐스트GPT-4 still writes SQL that will not run. She put a guardrail on the model진행자 Nathan LabenzShreya Rajpal built Guardrails AI so developers can encode what “correct” means, validate the pieces, and send failures back to the model instead of hoping the prompt holds.
42:18ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023년 5월 18일팟캐스트 · 2명Ten Percent of Search Is Health — and the Doctor Is Googling Too진행자 Sarah Guo, Elad GilGoogle researcher Karan Singhal on Med-PaLM 2, the real bar for medical language models, and why medicine is a harder alignment lab than chatbots.
1:28:43ENCognitive Revolution "How AI Changes Everything"· 2023년 5월 16일팟캐스트Clinical Guidelines Are 11% Evidence. Curai’s Founder Still Wants GPT-4 in the Exam Room진행자 Nathan LabenzNeal Khosla of Curai Health argues that large language models already match median U.S. physicians on today’s tests — and that the real work is scaffolding, supervision, and a doctor’s signature.
58:24ENCognitive Revolution "How AI Changes Everything"· 2023년 5월 11일팟캐스트Among 100 Random Doctors, Zak Kohane Would Be Surprised If One Beat GPT-4진행자 Nathan LabenzHarvard's biomedical informatics chair on a rare newborn case, why drug-style trials will not certify a general medical model, and why the AI should still work for the patient.
58:26ENCognitive Revolution "How AI Changes Everything"· 2023년 4월 25일팟캐스트Seventy Percent of the Inbox Is a Pitch: Matt Welsh on the First Wave of AI Agents진행자 Nathan LabenzThe Fixie.ai founder maps copilot versus delegation, the missing appendages into our systems, and why agents will need guardrails, memory hygiene, and probably an earpiece.
1:56:16ENCognitive Revolution "How AI Changes Everything"· 2023년 4월 6일팟캐스트They Used Humans as Stand-In AIs. Now 250,000 People Run Elicit.진행자 Nathan LabenzOught's founders tell Nathan Labenz why open-ended reasoning has to be decomposed, supervised, and grounded—not scaled until it merely looks persuasive.
39:10ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023년 3월 23일팟캐스트 · 2명Never Cite More Than Five Links: Perplexity's Bet on Answer Engines진행자 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.
1:25:46ENCognitive Revolution "How AI Changes Everything"· 2023년 3월 22일팟캐스트Don't Make the Tools Agentic: Flo Crivello on What Production Agents Actually Need진행자 Nathan LabenzThe Lindy CEO tells Nathan Labenz that most working agents are intelligent workflows with human-designed control flow — and that scaffolding may still matter even if AGI arrives.
48:52ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023년 2월 9일팟캐스트 · 2명Users Wanted a Better Brush. Runway Built One-Click Greenscreen진행자 Sarah Guo, Elad GilRunway CEO Cristobal Valenzuela on why a model is not a product, why filmmakers hacked a four-frame-per-second tool, and why 80 percent is enough when nobody dies.
1:28:46EN
Lex Fridman· 2021년 1월 4일팟캐스트 · 2명The Speech Company That Gets Paid to Label Its Own Training Data게스트 Dan Kokotov · 진행자 Lex FridmanRev VP of engineering Dan Kokotov tells Lex Fridman why a $1.25-a-minute human transcript, a 14% machine word-error rate, and a two-sided freelancer market are the same flywheel.
1:30:52ENLex Fridman· 2020년 1월 25일팟캐스트 · 2명Cristos Goodrow: There Is No YouTube Algorithm, Only People Moving Through Video게스트 Cristos Goodrow · 진행자 Lex FridmanYouTube’s head of search and discovery tells Lex Fridman why collaborative filtering learned language on its own, why watch time is not satisfaction, and why nobody can predict a viral hit.
1:13:06ENLex Fridman· 2019년 8월 19일팟캐스트 · 2명Lockheed Martin's CTO on Autonomy, the Moon, and the Culture of Not Getting It Wrong게스트 Keoki Jackson · 진행자 Lex FridmanKeoki Jackson tells Lex Fridman why going back to the Moon is the easy part—and why proving a learning system will still do the right thing is not.
32:45ENLex Fridman· 2019년 4월 12일팟캐스트 · 2명Elon Musk: Every Driver Input Is an Error Tesla Autopilot Must Eliminate게스트 Elon Musk · 진행자 Lex FridmanAfter MIT published a study of functional vigilance on Autopilot, Lex Fridman sat down with Musk to argue about cameras on drivers, fleet data, and whether humans still belong in the loop.
1:00:38ENLex Fridman· 2017년 12월 6일팟캐스트The Race Car and the Rulebook: Chris Gerdes on Automated Vehicle Safety진행자 Lex FridmanA Stanford engineer and former DOT innovation chief explains how autonomous racing, voluntary safety guidance, and data sharing could shape safer self-driving cars.
1:10:32EN
Lenny's Podcast팟캐스트 · 2명A Billion Dollars, No VC, Under 100 People: Surge AI's Edwin Chen on Data Quality and Where AI Is Heading게스트 Edwin Chen · 진행자 Lenny RachitskySurge AI's founder explains how a bootstrapped team built the leading human-data company, why he distrusts benchmarks, and how reinforcement learning environments are the next frontier.
1:46:33ENLenny's Podcast팟캐스트 · 3명From Chaos to a Failure Map: A Hands-On Primer on AI Evals게스트 Hamel Husain, Shreya Shankar · 진행자 Lenny RachitskyHamel Husain and Shreya Shankar walk Lenny Rachitsky through a real error-analysis workflow, from reading traces to building a trustworthy LLM judge.