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29:38EN
20VC with Harry Stebbings· 25 sept 2023Pódcast · 2 vocesMarc Benioff on Salesforce, San Francisco and Personal PrioritiesInvitado: Marc Benioff · Presenta: Harry StebbingsThe Salesforce co-founder discusses his AI ambitions, a five-question planning framework, philanthropy and work arrangements.
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 21 sept 2023Pódcast · 2 vocesA Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.Presenta: 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.
23:20EN20VC with Harry Stebbings· 14 jun 2023Pódcast · 2 vocesRishi Sunak on UK AI Policy, Talent and Education in 2023Invitado: Rishi Sunak · Presenta: Harry StebbingsThe then prime minister discusses an AI task force, skills and visa initiatives, and the political priorities he wanted to pursue.
28:48EN20VC with Harry Stebbings· 25 oct 2022Pódcast · 2 vocesRishi Sunak on Talent, Investment and Policy Trade-Offs in 2021Invitado: Rishi Sunak · Presenta: 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.
16:03EN
Lex Fridman· 22 feb 2020Pódcast · 2 vocesQuantum Supremacy Is a Well-Defined Speedup, Not a Useful TaskInvitado: Scott Aaronson · Presenta: 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.
20:44ENLex Fridman· 5 ene 2020Pódcast · 2 vocesThe Staff Job That Became a Dictatorship: Stalin's Improbable Road to PowerInvitado: Stephen Kotkin · Presenta: Lex FridmanStephen Kotkin traces how war, revolution, contingency, and a new administrative post let Stalin build a personal dictatorship inside the Bolshevik regime.
20:34ENLex Fridman· 26 oct 2019Pódcast · 2 vocesTeaching Machines the Frameworks Humans Take for GrantedInvitado: David Ferrucci · Presenta: Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.
23:58EN
Jane Street· 31 mar 2016Effective 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.
24:22ENLex FridmanPódcast · 2 vocesCraftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon MuskInvitado: Jim Keller · Presenta: 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.
21:43ENLex FridmanPódcast · 2 vocesRented Cars, 27 Rejections and the Love Quotient: Arianna Huffington on Obsession and RechargingInvitado: Arianna Huffington · Presenta: Lex FridmanThe Thrive Global and Huffington Post founder talks to Lex Fridman about mortality, failure, work obsession, polarized media and balancing ambition with love.
15:01ENLex FridmanPódcast · 2 vocesDeep Learning Is a System 1 Machine: Daniel Kahneman on What AI Still LacksInvitado: Daniel Kahneman · Presenta: 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.
20:07ENLex FridmanPódcast · 2 vocesThe Hard Problem and the Case for a Conscious Universe: David Chalmers on ConsciousnessInvitado: David Chalmers · Presenta: Lex FridmanDavid Chalmers explains what consciousness is, why the hard problem resists physical explanation, and why he takes panpsychism seriously.
21:55ENLex FridmanPódcast · 2 vocesQuantum Computing Without the Hype: Amplitudes, Interference and the Long Road to Error CorrectionInvitado: Scott Aaronson · Presenta: 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.
18:45ENLex FridmanPódcast · 2 vocesWhy Sean Carroll Thinks Many-Worlds Is the Cleanest Version of Quantum MechanicsInvitado: Sean Carroll · Presenta: Lex FridmanThe Caltech physicist explains how Everett's idea works, answers the energy-conservation objection, and compares it with its rivals.
23:57ENNo Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesChips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI BoomPresenta: 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.
23:54ENNo Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesBeyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AIPresenta: 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.
17:21ENLex FridmanPódcast · 2 vocesHow Alexa Learned to Hear From Across the Room: Rohit Prasad on Far-Field Speech and IntentInvitado: Rohit Prasad · Presenta: 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.
24:08ENLex FridmanPódcast · 2 vocesIntelligence Is Not Just Prediction: David Ferrucci on Explanation, Persuasion and Shared MeaningInvitado: David Ferrucci · Presenta: 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.
23:11ENLex FridmanPódcast · 2 vocesNick Bostrom on Superintelligence: Why the Upside Deserves as Much Attention as the RiskInvitado: Nick Bostrom · Presenta: 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.
15:43ENLex FridmanPódcast · 2 vocesInside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving StudyInvitado: MIT-AVT · Presenta: Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.
26:01ENNo Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesAfter the OpenAI Saga: Governance, Incentives, Diffusion Models and Why Your ASP Is My OpportunityPresenta: 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.
17:19ENLex FridmanPódcast · 2 vocesFrom Atoms to Data Centers: How a Modern Processor Finds Parallelism in a Serial ProgramInvitado: Jim Keller · Presenta: Lex FridmanJim Keller walks through the layers of abstraction in computer design, from transistors to out-of-order execution, branch prediction and deterministic answers.
26:45ENLex FridmanPódcast · 2 vocesStart Small, Build Habits, Pick Your Team: Andrew Ng's Practical Advice for Learning Deep LearningInvitado: Andrew Ng · Presenta: 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.
29:03ENNo Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesNotion's Simon Last on Rewriting the AI Harness Every Six Months and Managing a Swarm of AgentsPresenta: 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.