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슬라이드 8장21:02EN
Matthew Berman· 2024년 4월 16일Limitless Pendant: A 2024 AI Wearable Launch and Its Privacy PromisesMatthew Berman, Dan Siroker · Forward FutureMatthew Berman watches the original Limitless announcement, weighing its promised recording features, consent controls and price against the risk of buying future functionality.Personal agents제품과 UXPrivacy & data governance+2
26:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 4월 11일팟캐스트 · 2명GPT-4-Class Models Will Be Cheap. The Frontier Will Still Need a Patron.진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil walk through Mosaic’s Law, Microsoft’s Inflection hire, where the real money sits, and why the first AI wave looks consumer.기업과 전략엔터프라이즈 AIAI Strategy+3
24:22EN
Matthew Berman· 2024년 4월 4일Jonathan Ross on Groq's Inference Chips, AI Economics and Human AgencyMatthew Berman, Jonathan Ross · Forward FutureThe Groq founder explains the company's compiler-first approach and argues that inference speed could enable new applications, while discussing risks of handing decisions to AI.InferenceAI cost & performanceSemiconductors+2
27:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 3월 28일팟캐스트 · 2명From a side project to 700 integrations: Harrison Chase on what still blocks agents진행자 Sarah Guo, Elad GilThe LangChain CEO walks through a two-year churn of patterns, and why memory, planning, and few-shot data still matter more than swapping models.에이전트에이전트 엔지니어링Agent memory+3
슬라이드 5장22:17EN
Matthew Berman· 2024년 3월 21일Q* Rumors, Energy-Based Models, and Research on ReasoningMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines an anonymous, unverified account of Q* and compares its ideas with published research on teaching language models to reason.Reasoning & test-time compute모델과 학습AI research+2
슬라이드 7장16:27EN
Matthew Berman· 2024년 2월 29일Matthew Berman Reviews EMO’s Audio-Driven Portrait Video ResearchMatthew Berman, Jensen Huang · Forward FutureAlibaba researchers animate a portrait from an image and vocal audio; Berman examines the method, its limitations and the implications for trust in video.Generative media비전과 영상Deep Learning+1
슬라이드 4장21:00EN
Matthew Berman· 2024년 1월 23일Jim Fan's Foundation Agent Vision: Skills, Robot Bodies, and SimulationMatthew Berman, Jim Fan · Forward FutureMatthew Berman examines research on Minecraft agents, varied robot bodies, and simulation as steps toward more general embodied AI.Robotics에이전트Reinforcement Learning+2
19:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 1월 11일팟캐스트 · 2명The World's Only Capped-Profit Company진행자 Sarah Guo, Elad GilNo Priors looks back at 2023 through eight conversations on money, intelligence, jobs, and who should put the guardrails on a model.기업과 전략AI StrategyCompany Building+3
슬라이드 5장29:58EN
Matthew Berman· 2024년 1월 10일Rabbit R1’s 2024 Launch Demo: An AI Assistant Built Around ActionsMatthew Berman, Jesse Lyu · Forward FutureMatthew Berman reviews Rabbit’s launch presentation, from voice-controlled services and experimental teach mode to its proposed $199 device.에이전트제품과 UXHuman-AI Collaboration+1
27:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 12월 7일팟캐스트 · 2명Seven People Did the Work of 700. Salesforce's AI Chief Says Enterprise AI Is Still in the Second Inning진행자 Sarah Guo, Elad GilClara Shih tells Sarah Guo and Elad Gil why Salesforce built a shared LLM platform, why data cleanup beats model shopping, and why AI is becoming the enterprise UI.기업과 전략엔터프라이즈 AIAI Strategy+3
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
28:48EN
20VC with Harry Stebbings· 2022년 10월 25일팟캐스트 · 2명Rishi Sunak on Talent, Investment and Policy Trade-Offs in 2021게스트 Rishi Sunak · 진행자 Harry StebbingsIn an interview recorded while he was chancellor, Sunak discusses startup-inspired policymaking, immigration proposals, the Future Fund and the limits of government action.EntrepreneurshipVenture CapitalLeadership+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
Jane Street· 2016년 3월 31일Effective ML: Errors, Abstraction and Managing ComplexityYaron Minsky · Jane StreetA 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
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