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Lex Fridman PodcastLex Fridman Podcast

Rodney Brooks: Robotics | Lex Fridman Podcast #217

Rodney Brooks is a roboticist, former head of CSAIL at MIT, and co-founder of iRobot, Rethink Robotics, and Robust.AI.

Lex FridmanhostRodney Brooksguest
Sep 3, 20212h 24mWatch on YouTube

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Episode Details

EPISODE INFO

Released
September 3, 2021
Duration
2h 24m
Channel
Lex Fridman Podcast
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

Rodney Brooks is a roboticist, former head of CSAIL at MIT, and co-founder of iRobot, Rethink Robotics, and Robust.AI. Please support this podcast by checking out our sponsors:

EPISODE LINKS: Rodney's Twitter: https://twitter.com/rodneyabrooks Rodney's Blog: http://rodneybrooks.com/blog/ PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 1:31 - First robots 22:56 - Brains and computers 55:45 - Self-driving cars 1:15:55 - Believing in the impossible 1:26:45 - Predictions 1:37:47 - iRobot 2:05:09 - Sharing an office with AI experts 2:17:19 - Advice for young people 2:21:05 - Meaning of life SOCIAL:

SPEAKERS

  • Lex Fridman

    host
  • Rodney Brooks

    guest
  • Narrator

    other
  • Narrator

    other
  • Narrator

    other

EPISODE SUMMARY

In this episode of Lex Fridman Podcast, featuring Lex Fridman and Rodney Brooks, Rodney Brooks: Robotics | Lex Fridman Podcast #217 explores Rodney Brooks challenges AI hype, defends hard-earned, real-world robotics Rodney Brooks reflects on a lifetime in robotics, from early homebrew 'brains' and MIT leadership to founding iRobot, Rethink Robotics, and Robust.AI, emphasizing how hard real-world perception and manipulation truly are. He critiques the dominance of the Turing-style computation metaphor and argues current AI—especially deep learning—solves narrow labeling and game-playing problems, not grounded, embodied intelligence. Brooks is skeptical about near-term fully autonomous driving and human-level AI, stressing our tendency to overgeneralize from demos and underestimate engineering, infrastructure, and edge cases. He also discusses the messy realities of building robotics businesses, the importance of human-robot interaction, and his hope that future thinkers will escape current conceptual traps around computation and intelligence.

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