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8 件
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3:15:07EN
Lex Fridman· 2023年6月18日ポッドキャスト · 2 人Wikipedia Worked Once Writing Stopped Feeling Like Grad Schoolゲスト Jimmy Wales · ホスト 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.オープンソースとコミュニティOpen-source ecosystemsFree Speech+3
2:31:48EN
Lex Fridman· 2021年12月28日ポッドキャスト · 2 人A Car That Cannot Drive Itself Will Be About as Useful as a Horseゲスト Elon Musk · ホスト 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.セキュリティと安全性Autonomous DrivingRobotics+3
1:28:46EN
Lex Fridman· 2021年1月4日ポッドキャスト · 2 人The Speech Company That Gets Paid to Label Its Own Training Dataゲスト Dan Kokotov · ホスト 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.マルチモーダルとメディア音声 AI人による検証(HITL)+3
1:12:03EN
Lex Fridman· 2020年5月5日ポッドキャスト · 2 人Mice Don't Get Alzheimer's: Daphne Koller on Disease in a Dishゲスト Daphne Koller · ホスト 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.AI in healthcareComputational BiologyAI for science+3
1:17:29EN
Lex Fridman· 2019年9月23日ポッドキャスト · 2 人The Algorithm Is Already Better. The Clinic Still Uses 1967.ゲスト Regina Barzilay · ホスト 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.AI in healthcareAI for scienceData quality & curation+3
57:44EN
Lex Fridman· 2019年8月1日ポッドキャスト · 2 人Kevin Scott: Treat AI Like a Hash Table, and Measure Platforms by What Others Earnゲスト Kevin Scott · ホスト 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.企業と戦略AI StrategyProduct Strategy+3
32:45EN
Lex Fridman· 2019年4月12日ポッドキャスト · 2 人Elon Musk: Every Driver Input Is an Error Tesla Autopilot Must Eliminateゲスト Elon Musk · ホスト 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.セキュリティと安全性Autonomous Driving人による検証(HITL)+3
15:43EN
Lex Fridmanポッドキャスト · 2 人Inside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Studyゲスト MIT-AVT · ホスト Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.Autonomous DrivingインフラとデプロイMultimodal AI+2