Lex Fridman

Lex Fridman

Research Scientist, MIT; Host of the Lex Fridman Podcast

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 30 場對話

在 Lex Fridman

影片與訪談

思想連結

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。

youtube.com

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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尼克.連恩

尼克.連恩

曾經對談

演化生化學家・UCL

在這場關於生命起源的對談進行到約二十六分鐘時,Lane 打斷自己的回答,硬是把一個名字塞給主持人:Michael Levin 的研究非常了不起,你應該去訪問他。Fridman 真的去了。這是本站最清楚說明「長篇訪談節目到底是什麼」的一件事——它不是廣播,而是一塊配線板:一位來賓的熱情,變成了另一位來賓的一集;而兩位從未合作過的生物學家之間的連結,就這樣在公開場合被接了起來。

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