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1:37:31ENThe Robot That Brought the Beer Was Being Teleoperated게스트 Sergey Levine · 진행자 Lex FridmanSergey Levine tells Lex Fridman why hardware is almost closed, why common sense has to be lived, and why offline reinforcement learning is the missing on-ramp from logs to robots that keep getting better.
6:04ENFinals Week and the Expected Number of Snowboards UsedSawyer · Jane StreetSawyer poses a new exam-scheduling puzzle and uses indicator variables in two ways to solve the previous snowboard problem.
6:16ENIndicator Variables: Marching Bands and SnowboardsSawyer · Jane StreetSawyer uses linearity of expectation to count in-step rows, then poses a six-snowboard challenge.
1:09:14ENSuffering Is a State You'd Rather Not Be In — Peter Singer on Animals, Robots, and Us게스트 Peter Singer · 진행자 Lex FridmanOn Lex Fridman's podcast, the Princeton bioethicist defines suffering, extends it from factory farms to possible machine minds, and still puts extreme poverty first.
9:40ENReal Numbers: A Marching Band Challenge, Expected Damage, and Bayes’ RuleSawyer · Jane StreetSawyer introduces a marching-band expected-value puzzle and uses linearity and Bayesian updating to solve a monster-attack problem.
10:08ENExpected Damage and a Golden-Ratio Window PuzzleSawyer · Jane StreetSawyer introduces expected value with an unknown video-game monster, then uses geometry to solve a painting-through-a-window problem.
2:00:32ENSlow Synapses Grow Fast Learners — Warmth Is the Harder Problem게스트 Matt Botvinick · 진행자 Lex FridmanDeepMind neuroscience director Matt Botvinick tells Lex Fridman how prefrontal cortex, meta-reinforcement learning, and dopamine research meet the human question of what a better life with AI would actually look like.
45:31ENYou Are Your Own Existence Proof: Karl Friston on Free Energy, Life, and Self-Awareness진행자 Lex FridmanKarl Friston explains how the free energy principle reframes existence, life, planning, and self-awareness as inference problems.
7:55ENThe Art Thief’s Window and a Toy Boat’s Return JourneySawyer · Jane StreetSawyer poses a geometric window puzzle and solves the previous episode’s river-crossing problem in two ways.
1:02:14ENThe 28-year wait: Robert Langer on rejection, polymers, and a thousand students게스트 Robert Langer · 진행자 Lex FridmanThe MIT bioengineer talks with Lex Fridman about drug delivery, tissue engineering, patents, and the long path from a Folkman hypothesis to Avastin.
1:49:51ENThe Idea Once Called a Devolution Now Powers Almost Every New Chip게스트 David Patterson · 진행자 Lex FridmanTuring Award winner David Patterson talks with Lex Fridman about RISC, RAID, Moore's Law, open hardware, and why chips without a software stack die.
5:38ENWavey’s Return: Solving a River-Crossing PuzzleSawyer · Jane StreetSawyer solves the first toy-boat crossing with a 5:3 speed ratio, then asks how the answer changes when the return journey starts 60 meters downstream.
6:37ENCrossing the River: A Toy Boat Puzzle and a Snow-Cone SolutionSawyer · Jane StreetA toy boat drifts downstream in a steady current. Sawyer poses a navigation puzzle and solves the previous episode’s cone-and-hemisphere problem.
4:08:58ENThe Man Who Named AGI Wants Superintelligence Raised on Compassion게스트 Ben Goertzel · 진행자 Lex FridmanLex Fridman talks with Ben Goertzel for four hours about OpenCog, Sophia, SingularityNET, and why a bigger neural net is not a mind.
1:27:29ENResistance Is How You Know the Work Matters게스트 Steven Pressfield · 진행자 Lex FridmanSteven Pressfield tells Lex Fridman why he writes about Spartans and Alexander — and why the battle that counts is the one against his own ego.
3:35ENSnow Cones and Spheres: A Volume Solution and a New Geometry PuzzleSawyer · Jane StreetSawyer derives the height of a cone with the same volume as a hemisphere, then asks how to reshape the ice with minimal movement.
5:39ENA Snow Cone Geometry Puzzle and a Piggy Bank ProbabilitySawyer · Jane StreetSawyer poses a cone-design challenge and solves a conditional probability problem in two ways.
3:00:18ENOnly a Simulation Can Be Conscious게스트 Joscha Bach · 진행자 Lex FridmanJoscha Bach tells Lex Fridman why a neuron cannot feel anything, why existence is the default, and why this dying world is still the best level of the game.
7:03ENGrandma’s Secret College Fund: A Bayes’ Theorem PuzzleSawyer · Jane StreetA random $20 bill reveals information about a hidden deposit. Sawyer poses the new puzzle and solves a DMV probability problem three ways.
7:23ENBayes' Theorem and a Driver's Test Probability PuzzleSawyer · Jane StreetSawyer derives Bayes' theorem, poses a question about test-takers who studied, and solves an earlier card-game probability puzzle.
8:03ENReal Numbers: A Taxi Challenge and Two Ways to Calculate a Sleep ProbabilitySawyer · Jane StreetSawyer poses a consecutive-taxi puzzle and solves a five-night dog-sitting problem with a probability table and a counting argument.
6:50ENThe Perils of Dogsitting: A Probability Warm-UpSawyer · Jane StreetSawyer introduces a five-night dogsitting puzzle and reviews independence, overlapping events and complements with coins and dice.
7:15ENA Balanced Game of War and the Probability of Three TaxisSawyer · Jane StreetSawyer introduces conditional probability through a card-game challenge, then solves an earlier six-car puzzle in two ways.
1:12:36ENKate Darling on Why We Name the Roomba and Mourn the Bomb Robot게스트 Kate Darling · 진행자 Lex FridmanAn MIT Media Lab researcher argues that our feelings about machines track the history of animal domestication — and that design can steer that instinct for better or worse.
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