筛选结果
11 篇排序
3:15:07EN → 简体中文
Lex Fridman· 2023年6月18日播客 · 2 人对谈写作不再像读研究生，维基百科才跑了起来嘉宾 Jimmy Wales · 主持 Lex Fridman吉米·威尔士在与莱克斯·弗里德曼的对谈中，讲了 Nupedia 七阶段审稿为何走向终结，维基百科为何至今不挂广告、也不向政府低头，以及大语言模型到底该在百科全书里做什么。
2:31:48ENLex Fridman· 2021年12月28日播客 · 2 人对谈A Car That Cannot Drive Itself Will Be About as Useful as a Horse嘉宾 Elon Musk · 主持 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· 2021年1月4日播客 · 2 人对谈The Speech Company That Gets Paid to Label Its Own Training Data嘉宾 Dan Kokotov · 主持 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· 2020年5月5日播客 · 2 人对谈Mice Don't Get Alzheimer's: Daphne Koller on Disease in a Dish嘉宾 Daphne Koller · 主持 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· 2019年9月23日播客 · 2 人对谈The Algorithm Is Already Better. The Clinic Still Uses 1967.嘉宾 Regina Barzilay · 主持 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· 2019年8月1日播客 · 2 人对谈Kevin Scott: Treat AI Like a Hash Table, and Measure Platforms by What Others Earn嘉宾 Kevin Scott · 主持 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· 2019年4月12日播客 · 2 人对谈Elon Musk: Every Driver Input Is an Error Tesla Autopilot Must Eliminate嘉宾 Elon Musk · 主持 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 Fridman播客Why AI Will Never Be Perfect: Lex Fridman's Case for Keeping Humans in the Loop主持 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 Fridman播客Data Is Everything: Teaching Self-Driving Cars to Understand the Human Behind the Wheel主持 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 Fridman播客 · 2 人对谈Inside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Study嘉宾 MIT-AVT · 主持 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 Fridman播客Why Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has Seen主持 Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.