Skip to content

By playing, you agree to uListen's Terms and Privacy Policy and YouTube's Terms of Service.

Lex Fridman PodcastLex Fridman Podcast

Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11

Juergen Schmidhuber is the co-creator of long short-term memory networks (LSTMs) which are used in billions of devices today for speech recognition, translation, and much more.

Lex FridmanhostJürgen Schmidhuberguest
Dec 23, 20181h 19mWatch on YouTube ↗

Summaries, chapters, transcripts, and FAQs on this page are made by uListen, not YouTube.

Episode Details

EPISODE INFO

Released
December 23, 2018
Duration
1h 19m
Channel
Lex Fridman Podcast
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

Juergen Schmidhuber is the co-creator of long short-term memory networks (LSTMs) which are used in billions of devices today for speech recognition, translation, and much more. Over 30 years, he has proposed a lot of interesting, out-of-the-box ideas in artificial intelligence including a formal theory of creativity. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep11-sb See below for timestamps, and to give feedback, submit questions, contact Lex, etc. *CONTACT LEX:* *Feedback* - give feedback to Lex: https://lexfridman.com/survey *AMA* - submit questions, videos or call-in: https://lexfridman.com/ama *Hiring* - join our team: https://lexfridman.com/hiring *Other* - other ways to get in touch: https://lexfridman.com/contact *PODCAST LINKS:*

*SOCIAL LINKS:*

SPEAKERS

  • Lex Fridman

    host
  • Jürgen Schmidhuber

    guest

EPISODE SUMMARY

In this episode of Lex Fridman Podcast, featuring Lex Fridman and Jürgen Schmidhuber, Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 explores Jurgen Schmidhuber on self-improving AI, curiosity, and universal intelligence Lex Fridman and Jürgen Schmidhuber discuss foundational ideas for building truly general, self-improving AI systems. Schmidhuber contrasts narrow, practical deep learning (like LSTMs and transfer learning) with his theoretical work on meta-learning, Gödel machines, and asymptotically optimal universal problem solvers. They explore curiosity, creativity, and compression as core principles of both human and machine intelligence, arguing that intelligence and even consciousness emerge as side effects of efficient problem solving and data compression. The conversation extends to evolution, the nature of physical reality, future robot learning, economic impact, and the possibility that humanity may be the first civilization poised to fill the universe with intelligence.

RELATED EPISODES

Kyle Vogt: Cruise Automation | Lex Fridman Podcast #14

Kyle Vogt: Cruise Automation | Lex Fridman Podcast #14

Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13

Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13

Tuomas Sandholm: Poker and Game Theory | Lex Fridman Podcast #12

Tuomas Sandholm: Poker and Game Theory | Lex Fridman Podcast #12

Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10

Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10

Stuart Russell: Long-Term Future of Artificial Intelligence | Lex Fridman Podcast #9

Stuart Russell: Long-Term Future of Artificial Intelligence | Lex Fridman Podcast #9

Eric Schmidt: Google | Lex Fridman Podcast #8

Eric Schmidt: Google | Lex Fridman Podcast #8

Get more out of YouTube videos.

Read along on your phone, search it beside the video, or ask your favorite AI app what was said.