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1:01:49ENTwo 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.
32:15ENThe 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.
47:42ENSal 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.
2:44:16ENIQ 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.
2:08:26ENSatisfying 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.
1:10:16ENMost 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.
1:29:10ENAndrew 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.
1:18:35ENThe 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.
49:53ENGilbert 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.
1:44:11ENA 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.
1:28:53ENMachine 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.
48:02ENDon'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.
51:39ENA 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.
26:45ENStart 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.








