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1:04:50EN
Cognitive Revolution "How AI Changes Everything"· 25 nov 2025PódcastUseful AI Work Is Doubling Every Four Months. Schools Should Plan Accordingly.Presenta: Nathan LabenzIn a keynote to K-12 educators, Cognitive Revolution host Nathan Labenz argued that task length, not chat quality, is the number that should reshape how schools think.AI in EducationSeguridad y gobernanzaReward hacking+3
1:53:50EN
Cognitive Revolution "How AI Changes Everything"· 8 oct 2025PódcastA curriculum rewrite takes five years. AI does not wait.Presenta: Nathan LabenzJohan Falk, a Swedish teacher-turned-analyst, argues that AI literacy and AI friends are more urgent than putting a tutor in every classroom.AI in EducationAI StrategySeguridad y gobernanza+3
1:01:49EN
No Priors: AI, Machine Learning, Tech, & Startups· 25 sept 2025Pódcast · 2 vocesTwo Academic Hours a Day, and 96 Percent of Kids Say They Love SchoolPresenta: Sarah Guo, Elad GilTrilogy founder Joe Liemandt, now principal of Alpha School, tells No Priors how an AI tutor, a two-hour bargain with fifth graders, and a sports-coach ethos are meant to scale to a billion children.Producto y UXAI in EducationProduct Strategy+3
1:22:31EN
Cognitive Revolution "How AI Changes Everything"· 25 jun 2025PódcastTwo Hours a Day, 99th Percentile: How Alpha School Made 2-Sigma RealPresenta: Nathan LabenzMacKenzie Price explains how Alpha School uses adaptive apps—not chatbots—to finish core academics in two hours a day and still beat the growth models.Producto y UXAI in EducationProduct Strategy+3
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No Priors: AI, Machine Learning, Tech, & Startups· 8 may 2025Pódcast · 2 vocesThe Hardest Part of Learning Is Getting Yourself to StartPresenta: Sarah Guo, Elad GilDuolingo CEO Luis von Ahn tells Sarah Guo how two-minute lessons, streaks, an 83 percent accuracy target, and large language models turned language study into a consumer product.Producto y UXProduct StrategyAI in Education+3
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Unsupervised Learning: With Jacob Effron· 29 abr 2025PódcastSal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the ProductPresenta: Jacob EffronThe Khan Academy founder tells Redpoint why an AI tutor still cannot teach most students alone, and why districts are paying $15 a year after an $86 billion tutoring hangover.Producto y UXAI in EducationProduct Strategy+3
47:42EN
No Priors: AI, Machine Learning, Tech, & Startups· 17 ago 2023Pódcast · 2 vocesSal Khan Thinks Every Child Can Finally Have a TutorPresenta: Sarah Guo, Elad GilThe Khan Academy founder tells Sarah Guo and Elad Gil how a family tutoring side project became an AI teaching assistant, and why he believes education is on the cusp of its biggest positive shift.Producto y UXHuman-AI CollaborationSeguridad y gobernanza+3
1:23:40EN
Cognitive Revolution "How AI Changes Everything"· 15 ago 2023PódcastA $9 Tutor That Refuses to Give the AnswerPresenta: Nathan LabenzHow Khan Academy spent five months of GPT-4 early access building Khanmigo, a Socratic tutor shipped on the model's launch day.Producto y UXAI in EducationProduct Strategy+3
2:44:16EN
Lex Fridman· 14 jul 2022Pódcast · 2 vocesIQ at Eleven Predicted Survival at Eighty. Richard Haier on the Finding Psychology Tried to BuryInvitado: Richard Haier · Presenta: Lex FridmanLex Fridman talks with psychologist Richard Haier about the g factor, The Bell Curve, group differences, and why intelligence research became the most radioactive topic in the field.Science CommunicationNeuroscience & AIConsciousness & Intelligence+2
2:02:45EN
Lex Fridman· 26 dic 2020PódcastSteal the Code: You Get Zero Points for Making the Algorithm RunPresenta: Lex FridmanCharles Isbell and Michael Littman tell Lex Fridman why machine learning is not just statistics, why struggle has to stay hopeful, and what a $6,600 online master's actually sells.Fundamentos de MLAI in EducationAI research+3
2:08:26EN
Lex Fridman· 23 ago 2020Pódcast · 2 vocesSatisfying Lectures Don't Stick: Grant Sanderson on Feynman, Fear, and Hitting PublishInvitado: Grant Sanderson · Presenta: Lex FridmanThe 3Blue1Brown creator talks with Lex Fridman about why the nicest explanations can fail, why he envies Bell Labs, and why the experts most qualified to teach are the ones least willing to post.Science CommunicationNeural NetworksMathematics+3
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Lex Fridman· 15 may 2020Pódcast · 2 vocesMost People See the Black Dress. Stephen Schwarzman Sees the White Lint.Invitado: Stephen Schwarzman · Presenta: Lex FridmanThe Blackstone co-founder on pattern recognition, why entrepreneurship is a team sport, and why the United States cannot afford to sleepwalk through AI.Empresa y estrategiaCompany BuildingLeadership+3
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Lex Fridman· 20 feb 2020Pódcast · 2 vocesAndrew Ng: The Hardest Part of AI Is Rarely the AlgorithmInvitado: Andrew Ng · Presenta: Lex FridmanIn a conversation with Lex Fridman, Ng traces a path from late-night Coursera recordings to factory floors, arguing that messy data, habits, and starting small matter more than hype.Empresa y estrategiaDeep LearningScaling Laws+3
1:18:35EN
Lex Fridman· 21 dic 2019Pódcast · 2 vocesThe last job Sebastian Thrun wants is one he is already good atInvitado: Sebastian Thrun · Presenta: Lex FridmanLex Fridman talks with the roboticist behind Stanley, Google’s self-driving car, Udacity, and Kitty Hawk about learning, safety, and why traffic is a choice.Autonomous DrivingRoboticsAI in Education+3
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Lex Fridman· 25 nov 2019Pódcast · 2 vocesGilbert Strang still teaches with thick chalk and four subspacesInvitado: Gilbert Strang · Presenta: Lex FridmanThe MIT linear-algebra legend talks with Lex Fridman about OpenCourseWare, singular values, neural nets as a million folds, and why calculus hogged the undergraduate timetable.Modelos y entrenamientoFundamentos de MLDeep Learning+3
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Lex Fridman· 27 ago 2019Pódcast · 2 vocesA Single GPU Is Enough: Jeremy Howard on Teaching Deep LearningInvitado: Jeremy Howard · Presenta: Lex FridmanThe fast.ai founder tells Lex Fridman why domain experts, not more papers or more TPUs, will decide whether deep learning actually helps people.Modelos y entrenamientoDeep LearningFundamentos de ML+3
1:28:53EN
Lex FridmanPódcast · 2 vocesMachine Learning for Business Students: Powerful, Narrow, and Easier to Fool Than You ThinkInvitado: MIT Sloan · Presenta: Lex FridmanLex Fridman's non-technical MIT Sloan lecture explains how machine learning works, why it is so capable at perception, and where it still breaks in the real world.Modelos y entrenamientoFundamentos de MLAI Strategy+3
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Lenny's PodcastPódcast · 2 vocesDon't Do AI for AI's Sake: Marily Nika's Starter Guide to AI Product ManagementInvitado: Marily Nika · Presenta: Lenny RachitskyMeta product lead Marily Nika explains what a model is, when AI is worth building, how PMs can learn, and what working with research scientists is really like.Producto y UXAI Product ManagementProduct Strategy+3
1:09:31EN
Unsupervised Learning: With Jacob EffronPódcastThe Staircase to an AI Tutor: Connor Wick on Speak, Moats, and Voice-First LearningPresenta: Jacob EffronHow Speak's CEO is building a fluency product one model-capability step at a time, from specialized speech models to evals, pricing, and the future of education.Producto y UXAI startups & small teamsCompany Building+3
51:39EN
No Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesA Tutor for Every Child: Sal Khan on How AI Could Transform EducationPresenta: Sarah Guo, Elad GilKhan Academy's founder traces his path from tutoring his cousins to building Khanmigo, and explains how GPT-4, classroom change, universities and future skills fit together.Producto y UXAI in EducationCompany Building+3
1:55:28EN
Lenny's PodcastPódcastPlan Your Chess Moves: Peter Deng on Building Products Used by BillionsPresenta: Lenny RachitskyThe former product leader at OpenAI, Instagram, Uber and Facebook explains how he scales products, assembles teams and hires people who eventually don't need him.Producto y UXProduct LeadershipProduct Management+3
1:02:06EN
Lex FridmanPódcastDeep Learning for Self-Driving Cars: Why Edge Cases and Human Nature Are the Real ProblemPresenta: Lex FridmanLex Fridman opens MIT's 6.S094 with a tour of what deep learning is, how it works, what it has achieved and where it still breaks, framed around autonomous vehicles.Modelos y entrenamientoAutonomous DrivingDeep Learning+3