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29:38EN
20VC with Harry Stebbings· 2023년 9월 25일팟캐스트 · 2명Marc Benioff on Salesforce, San Francisco and Personal Priorities게스트 Marc Benioff · 진행자 Harry StebbingsThe Salesforce co-founder discusses his AI ambitions, a five-question planning framework, philanthropy and work arrangements.LeadershipAI StrategyCompany Building+1
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 9월 21일팟캐스트 · 2명A Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.진행자 Sarah Guo, Elad GilReplit CEO Amjad Masad on Ghostwriter, why a 3-billion-parameter model was enough, and the agents he wants earning bounties while you sleep.코딩 에이전트Developer productivityOpen-weight models+3
23:20EN
20VC with Harry Stebbings· 2023년 6월 14일팟캐스트 · 2명Rishi Sunak on UK AI Policy, Talent and Education in 2023게스트 Rishi Sunak · 진행자 Harry StebbingsThe then prime minister discusses an AI task force, skills and visa initiatives, and the political priorities he wanted to pursue.AI RegulationEducationAI Safety+2
16:03EN
Lex Fridman· 2020년 2월 22일팟캐스트 · 2명Quantum Supremacy Is a Well-Defined Speedup, Not a Useful Task게스트 Scott Aaronson · 진행자 Lex FridmanScott Aaronson explains what Google's 53-qubit experiment actually demonstrated, how it was verified, and why complexity theory can offer evidence but not proof against classical spoofing.BenchmarksScience Communication
20:44EN
Lex Fridman· 2020년 1월 5일팟캐스트 · 2명The Staff Job That Became a Dictatorship: Stalin's Improbable Road to Power게스트 Stephen Kotkin · 진행자 Lex FridmanStephen Kotkin traces how war, revolution, contingency, and a new administrative post let Stalin build a personal dictatorship inside the Bolshevik regime.Political PhilosophyLeadershipGeopolitics+2
20:34EN
Lex Fridman· 2019년 10월 26일팟캐스트 · 2명Teaching Machines the Frameworks Humans Take for Granted게스트 David Ferrucci · 진행자 Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.RAG와 지식AI researchAGI(범용 인공지능)+3
23:58EN
JSJane Street· 2016년 3월 31일Effective ML: Errors, Abstraction and Managing ComplexityA Jane Street engineer discusses explicit failure, boilerplate, type-system restraint and the practical role of side effects.Programming LanguagesSoftware engineeringCode review & verification
24:22EN
Lex Fridman팟캐스트 · 2명Craftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon Musk게스트 Jim Keller · 진행자 Lex FridmanThe veteran chip architect explains why he thinks autonomous driving is a tractable engineering problem, how Tesla's cost constraints shaped its hardware, and what he took from Musk's way of thinking.모델과 학습Autonomous DrivingAutonomous Systems+3
21:43EN
Lex Fridman팟캐스트 · 2명Rented Cars, 27 Rejections and the Love Quotient: Arianna Huffington on Obsession and Recharging게스트 Arianna Huffington · 진행자 Lex FridmanThe Thrive Global and Huffington Post founder talks to Lex Fridman about mortality, failure, work obsession, polarized media and balancing ambition with love.Company BuildingLeadershipPhilosophy+3
15:01EN
Lex Fridman팟캐스트 · 2명Deep Learning Is a System 1 Machine: Daniel Kahneman on What AI Still Lacks게스트 Daniel Kahneman · 진행자 Lex FridmanThe Nobel-winning psychologist tells Lex Fridman how his fast-and-slow thinking framework maps onto deep learning, and why driving among pedestrians may require understanding people.모델과 학습Deep LearningAI research+3
20:07EN
Lex Fridman팟캐스트 · 2명The Hard Problem and the Case for a Conscious Universe: David Chalmers on Consciousness게스트 David Chalmers · 진행자 Lex FridmanDavid Chalmers explains what consciousness is, why the hard problem resists physical explanation, and why he takes panpsychism seriously.Philosophy of MindConsciousness & IntelligencePhilosophy+1
21:55EN
Lex Fridman팟캐스트 · 2명Quantum Computing Without the Hype: Amplitudes, Interference and the Long Road to Error Correction게스트 Scott Aaronson · 진행자 Lex FridmanScott Aaronson explains what a quantum computer really is, why it is not just trying every answer at once, and why noise is the field's central obstacle.Quantum MechanicsScience Communication
18:45EN
Lex Fridman팟캐스트 · 2명Why Sean Carroll Thinks Many-Worlds Is the Cleanest Version of Quantum Mechanics게스트 Sean Carroll · 진행자 Lex FridmanThe Caltech physicist explains how Everett's idea works, answers the energy-conservation objection, and compares it with its rivals.Quantum MechanicsPhysicsCosmology+1
23:57EN
No Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명Chips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI Boom진행자 Sarah Guo, Elad GilThe hosts answer listener questions on the GPU crunch, how soon enterprises will ship AI products, how to build agents, and what 2024 holds for tech valuations.기업과 전략인프라와 배포AI cost & performance+3
23:54EN
No Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명Beyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AI진행자 Sarah Guo, Elad GilIn a host-only episode, the No Priors hosts map the six levers for 10x to 100x better AI, explain fine-tuning, RAG and AI feedback, and ask why consumer social is suddenly interesting again.모델과 학습파인튜닝검색 증강 생성(RAG)+3
17:21EN
Lex Fridman팟캐스트 · 2명How Alexa Learned to Hear From Across the Room: Rohit Prasad on Far-Field Speech and Intent게스트 Rohit Prasad · 진행자 Lex FridmanAlexa's head scientist recalls the early days of the Echo, when far-field speech recognition seemed unsolvable and there were no customers to collect data from.멀티모달과 미디어음성 AIProduct engineering+2
24:08EN
Lex Fridman팟캐스트 · 2명Intelligence Is Not Just Prediction: David Ferrucci on Explanation, Persuasion and Shared Meaning게스트 David Ferrucci · 진행자 Lex FridmanThe lead of IBM's Watson team argues that predicting well is only half of intelligence, and that being understood by others is the other half.PhilosophyAI researchAGI(범용 인공지능)+2
23:11EN
Lex Fridman팟캐스트 · 2명Nick Bostrom on Superintelligence: Why the Upside Deserves as Much Attention as the Risk게스트 Nick Bostrom · 진행자 Lex FridmanIn a clip from the Lex Fridman Podcast, Oxford philosopher Nick Bostrom defines superintelligence, discusses intelligence explosions, and sketches what a good AGI future might look like.보안과 안전Existential RiskAGI(범용 인공지능)+3
15:43EN
Lex Fridman팟캐스트 · 2명Inside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Study게스트 MIT-AVT · 진행자 Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.Autonomous Driving인프라와 배포Multimodal AI+2
26:01EN
No Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명After the OpenAI Saga: Governance, Incentives, Diffusion Models and Why Your ASP Is My Opportunity진행자 Sarah Guo, Elad GilIn a host-only episode, Sarah Guo and Elad Gil unpack what OpenAI's leadership turmoil teaches about governance and incentives, then turn to AI video, small teams and the economics of AI investing.기업과 전략Company BuildingAI Strategy+3
17:19EN
Lex Fridman팟캐스트 · 2명From Atoms to Data Centers: How a Modern Processor Finds Parallelism in a Serial Program게스트 Jim Keller · 진행자 Lex FridmanJim Keller walks through the layers of abstraction in computer design, from transistors to out-of-order execution, branch prediction and deterministic answers.인프라와 배포GPU programming & kernels
26:45EN
Lex Fridman팟캐스트 · 2명Start Small, Build Habits, Pick Your Team: Andrew Ng's Practical Advice for Learning Deep Learning게스트 Andrew Ng · 진행자 Lex FridmanIn a clip from the Lex Fridman Podcast, Andrew Ng explains how to begin in deep learning, how to study effectively, and how to choose a career path.모델과 학습Deep Learning머신러닝 기초+3
29:03EN
No Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명Notion's Simon Last on Rewriting the AI Harness Every Six Months and Managing a Swarm of Agents진행자 Sarah Guo, Elad GilThe Notion co-founder traces the product's path from a writing assistant to custom background agents, and describes how coding agents changed the way he builds.에이전트Product StrategyCompany Building+3