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1:04:50ENUseful 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.
1:53:50ENA 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.
1:22:31ENTwo 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.
51:19ENSal 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.
1:23:40ENA $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.
2:02:45ENSteal 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.
1:09:31ENThe 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.
1:55:28ENPlan 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.
1:02:06ENDeep 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.







