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10:39EN
Lex Fridman팟캐스트Statistics as Decision-Making: Michael I. Jordan on Bayesians, Frequentists and the Ideas Between Them진행자 Lex FridmanBerkeley's Michael I. Jordan explains where statistics came from, why it is really about decisions, and how empirical Bayes and false discovery rate bridge two rival philosophies.모델과 학습머신러닝 기초Decision Making+2
11:29EN
Lex Fridman팟캐스트Why Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has Seen진행자 Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.모델과 학습Autonomous DrivingRobotics+3
18:24EN
Lex Fridman팟캐스트Five Lessons from a 91-Year-Old Grandmother: Lex Fridman Remembers the Woman Who Shaped Him진행자 Lex FridmanLex Fridman uses his microphone to honor his late grandmother, recounting what she taught him about toughness, strength, quiet thought, self-belief and love.PhilosophyResilience
11:26EN
Lex Fridman팟캐스트The Cookie Your Brain Bakes: Joscha Bach on Happiness, Cells and the Meaning of God진행자 Lex FridmanIn a short clip, Joscha Bach moves from why happiness is not the point to the cell as a cosmic probe and a naturalistic reading of God as civilization.PhilosophyConsciousness & IntelligencePhilosophy of Mind+3
20:50EN
Lex Fridman팟캐스트Glitches as Features: What John Hopfield Says Artificial Neural Networks Are Missing진행자 Lex FridmanIn a short conversation with Lex Fridman, physicist and neural-network pioneer John Hopfield compares evolved brains with today's artificial networks and explains why he expects AI to borrow from biology generation after generation.모델과 학습Neuroscience & AI머신러닝 기초+3
13:33EN
Lex Fridman팟캐스트Rating Jiu-Jitsu Memes With Ryan Hall: Talent, Terminology and Getting Humbled진행자 Lex FridmanAfter their main podcast conversation, Lex Fridman has Ryan Hall score a printed stack of Reddit jiu-jitsu memes on a scale of 1 to 12.Martial ArtsCombat Sports
10:17EN
Lex Fridman팟캐스트Neither Saints Nor Sinners: Ben Goertzel on the Selfish and Altruistic Human Mix진행자 Lex FridmanAI researcher Ben Goertzel explains why humans are a blend of selfishness and altruism, and how much culture can shift that balance.PhilosophyEvolutionAGI(범용 인공지능)
12:04EN
Lex Fridman팟캐스트Zuckerberg and Fridman Roll: Why Two Busy Leaders Are Training Jiu-Jitsu진행자 Lex FridmanLex Fridman shares footage of a training session with Mark Zuckerberg and explains why martial arts matter for people who run big companies.Martial ArtsCombat SportsLeadership+2
1:31:29EN
Lex Fridman팟캐스트Is Driving More Like Chess or Conversation? Lex Fridman's Opening Lecture on Deep Learning for Self-Driving Cars진행자 Lex FridmanThe first lecture of MIT 6.S094 introduces neural networks, reinforcement learning and computer vision through the question of how hard driving really is.모델과 학습Deep LearningAutonomous Driving+3
1:12:00EN
Lex Fridman팟캐스트Why Deep Learning Works at All: Yoshua Bengio on Composition, Saddle Points and the Case for Unsupervised Learning진행자 Lex FridmanIn a 2016 Deep Learning School talk, Yoshua Bengio explains the assumptions that let neural nets beat the curse of dimensionality and lays out the open challenges ahead.모델과 학습머신러닝 기초Deep Learning+2
35:43EN
Lex Fridman팟캐스트Two Four-Hour Sprints and a Mantra: Inside Lex Fridman's Daily Routine진행자 Lex FridmanAn hour-by-hour walkthrough of how Lex Fridman structures a day around deep work, strict limits on distractions, exercise, a one-meal keto diet and reading.Time ManagementProductivity
26:51EN
Lex Fridman팟캐스트A Walking Skeleton in a Beautiful Face: Ben Goertzel on What Sophia Really Is진행자 Lex FridmanThe former Hanson Robotics chief scientist explains how Sophia works, why she is not AGI, and why he thinks the illusion can still be put to good use.멀티모달과 미디어AGI(범용 인공지능)Robotics+3
1:02:24EN
Lex Fridman팟캐스트From Looping Forklifts to Self-Driving Cities: Sertac Karaman on Motion Planning진행자 Lex FridmanAn MIT professor traces motion planning from the DARPA Urban Challenge to the future of transportation and the cities built around cars.Autonomous DrivingRoboticsAI research+2
1:27:41EN
Lex Fridman팟캐스트Deep Learning in 2020: Lex Fridman's Tour of Transformers, Self-Play, Self-Driving and What Comes Next진행자 Lex FridmanAn MIT lecture surveys the biggest advances of 2017 to 2019 across language, reinforcement learning, deep learning theory and autonomous vehicles, and lists Fridman's hopes for the year ahead.모델과 학습Deep LearningAI research+3
1:04:39EN
Lex Fridman팟캐스트From Udacity's Self-Driving Car Course to a Startup for Retirement Communities: Oliver Cameron on Building Voyage진행자 Lex FridmanVoyage CEO Oliver Cameron tells the unconventional story of how a self-driving curriculum became a car, then a company that deploys in retirement communities, and what he learned along the way.제품과 UXAutonomous DrivingAI startups & small teams+3
11:34EN
Lex Fridman팟캐스트Neither Discovered Nor Invented: Grant Sanderson on the Cycle Between Math and the World진행자 Lex Fridman3Blue1Brown's Grant Sanderson tells Lex Fridman that mathematics feeds on a loop of discovery and invention, and wonders why the universe's laws are so compressible.Philosophy of ScienceScience CommunicationFirst Principles+3
1:02:06EN
Lex Fridman팟캐스트Deep Learning for Self-Driving Cars: Why Edge Cases and Human Nature Are the Real Problem진행자 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.모델과 학습Autonomous DrivingDeep Learning+3