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3:15:07EN
Lex Fridman· Jun 18, 2023Podcast · 2 speakersWikipedia Worked Once Writing Stopped Feeling Like Grad SchoolGuest Jimmy Wales · Host Lex FridmanJimmy Wales tells Lex Fridman how Nupedia's seven-stage review died, why Wikipedia still refuses ads and governments, and what large language models should actually do with an encyclopedia.
2:31:48ENLex Fridman· Dec 28, 2021Podcast · 2 speakersA Car That Cannot Drive Itself Will Be About as Useful as a HorseGuest Elon Musk · Host Lex FridmanIn a Lex Fridman conversation built around Tesla Autopilot, Elon Musk argues that every driver input is an error, that today’s hardware is already enough for full self-driving, and that watching the human will soon matter less than making the system safer than a person.
1:28:46ENLex Fridman· Jan 4, 2021Podcast · 2 speakersThe Speech Company That Gets Paid to Label Its Own Training DataGuest Dan Kokotov · Host Lex FridmanRev VP of engineering Dan Kokotov tells Lex Fridman why a $1.25-a-minute human transcript, a 14% machine word-error rate, and a two-sided freelancer market are the same flywheel.
1:12:03ENLex Fridman· May 5, 2020Podcast · 2 speakersMice Don't Get Alzheimer's: Daphne Koller on Disease in a DishGuest Daphne Koller · Host Lex FridmanThe Coursera co-founder and insitro CEO on why most diseases are not one disease, how to turn cells into data, and why overconfident neural nets can kill.
1:17:29ENLex Fridman· Sep 23, 2019Podcast · 2 speakersThe Algorithm Is Already Better. The Clinic Still Uses 1967.Guest Regina Barzilay · Host Lex FridmanMIT's Regina Barzilay on why deep learning already beats the breast-cancer 'density' score — and why data, liability, and incentives still will not move.
57:44ENLex Fridman· Aug 1, 2019Podcast · 2 speakersKevin Scott: Treat AI Like a Hash Table, and Measure Platforms by What Others EarnGuest Kevin Scott · Host Lex FridmanMicrosoft's CTO talks radical markets, data dignity, Dunbar's number, and why a platform fails if only a handful of companies decide what AI is for.
32:45ENLex Fridman· Apr 12, 2019Podcast · 2 speakersElon Musk: Every Driver Input Is an Error Tesla Autopilot Must EliminateGuest Elon Musk · Host Lex FridmanAfter MIT published a study of functional vigilance on Autopilot, Lex Fridman sat down with Musk to argue about cameras on drivers, fleet data, and whether humans still belong in the loop.
1:07:35ENLex FridmanPodcastWhy AI Will Never Be Perfect: Lex Fridman's Case for Keeping Humans in the LoopHost Lex FridmanIn MIT 6.S093's opening lecture, Lex Fridman lays out five research areas of human-centered AI, from machine teaching to arguing machines that flag their own uncertainty.
1:11:50ENLex FridmanPodcastData Is Everything: Teaching Self-Driving Cars to Understand the Human Behind the WheelHost Lex FridmanIn an MIT lecture, Lex Fridman shows how deep learning can sense pedestrians, driver posture, gaze, emotion and cognitive load, and why that matters for human-centered autonomy.
15:43ENLex FridmanPodcast · 2 speakersInside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving StudyGuest MIT-AVT · Host Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.
11:29ENLex FridmanPodcastWhy Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has SeenHost Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.