Lex Fridman

Lex Fridman

Research Scientist, MIT; Host of the Lex Fridman Podcast

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關於

Lex Fridman is an American computer scientist and podcaster. He earned BS and MS degrees in computer science at Drexel University in 2010 and a PhD in electrical and computer engineering there in 2014, writing his dissertation on learning identity from behavioral biometrics for active authentication. After six months at Google he joined MIT's AgeLab in 2015 as a research scientist studying driver behavior, where he led a group of engineers developing learning algorithms for semi-autonomous vehicles in collaboration with Toyota; since 2022 he has been a research scientist at the MIT Laboratory for Information and Decision Systems, and he also conducts research for the Center for Complex Engineering Systems, an MIT–KACST collaboration. He began his podcast in 2018 as The Artificial Intelligence Podcast, renamed it the Lex Fridman Podcast in 2020, and uses its long-form interview format to talk with figures from science, technology, sports, the arts and politics. He gives his own research interests as human-AI interaction, robotics and machine learning.

主要貢獻

  • Has hosted the Lex Fridman Podcast since 2018, begun as The Artificial Intelligence Podcast and renamed in 2020
  • The largest single source in this collection: thirty of its videos are his conversations, with guests including Karpathy, Hassabis, Chalmers, Kahneman, Tegmark, Pearl, Schmidhuber, Altman and Amodei
  • Research scientist at the MIT Laboratory for Information and Decision Systems since 2022, after work on driver behavior and semi-autonomous vehicles at MIT AgeLab
  • Co-authored a Best Paper award winner at CHI 2017, described by Wikipedia as a high-ranking conference in human–computer interaction
  • Organized MIT's public lecture series on deep learning, robotics and AI from 2017 to 2020, published free online at deeplearning.mit.edu

主持過的 31 場對話

在 Lex Fridman

影片與訪談

思想連結

Max Tegmark

Max Tegmark

曾經對談

物理學家與 AI 安全研究者

Tegmark 是這個節目的第一位來賓:第一集在 MIT 錄製,屬於 Fridman 開的 AGI 課程的一部分。Fridman 在那集坦承,他寧可家裡的機器人至少「看起來」有意識;Tegmark 則回答:如果我們希望事情的走向是好的,最好先把意識搞清楚。五年、三度上節目之後,第 371 集開場,Fridman 謝謝他「把我當成一個重要的人來對待」,接著談起暫停公開信——這不是軍備競賽,而是一場自殺競賽;而 Moloch,正是任何一間實驗室都無法獨自停下的那個原因的名字。這兩段錄音,框住了這個節目自身的軌跡:從課堂上的好奇,走到一場關於「該不該停下來」的公共爭論。

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楊立昆

楊立昆

曾經對談

AMI Labs 執行董事長暨共同創辦人・紐約大學教授

這集開場,LeCun 就點明了他真正害怕的危險:不是失控的系統,而是一個「我們的資訊飲食被少數幾家公司透過專有系統掌控」的世界——權力集中才是更大的風險,而開放權重是他的答案。這場對話值得一聽的地方在於,Fridman 並不只是接住它。他把自己的前提說了回去——人本質上是好的,所以任何讓人變聰明的東西,都會放大這份好——而 LeCun 說他同意。在這個節目上,主持人的立場通常是隱形的;在這一集,它成了樞紐。

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雷·庫茲威爾

雷·庫茲威爾

曾經對談

發明家・未來學家・作家

《奇點臨近》出版十八年後,Fridman 把 Kurzweil 請來,拿他自己的預測當面問他:你還這樣認為嗎?他還是。2045 年,智能放大數百萬倍,而他也承認那是一個從此刻很難想像的未來。這一集的價值在於那段間隔——一個預測正被拿來對照它出版之後真正流逝的年份,由作者本人親口盤點。

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德米斯·哈薩比斯

德米斯·哈薩比斯

曾經對談

Google DeepMind 董事長・Alphabet 首席科學家

Fridman 把這一集介紹成一份他等了很久的榮幸,而這場對話撐得起這個框架:AlphaZero 自學圍棋、超越所有人類棋手;AlphaFold 解掉了生物學說了五十年「不可能」的題目。Hassabis 談這兩者的方式,不是兩場勝利,而是同一套方法的兩個實例——遊戲是訓練場,而那台機器最終要做的事,是科學。

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