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Lex Fridman PodcastTomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13
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Episode Details
EPISODE INFO
- Released
- January 19, 2019
- Duration
- 1h 20m
- Channel
- Lex Fridman Podcast
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
Tomaso Poggio is a professor at MIT and is the director of the Center for Brains, Minds, and Machines. Cited over 100,000 times, his work has had a profound impact on our understanding of the nature of intelligence, in both biological neural networks and artificial ones. He has been an advisor to many highly-impactful researchers and entrepreneurs in AI, including Demis Hassabis of DeepMind, Amnon Shashua of MobileEye, and Christof Koch of the Allen Institute for Brain Science. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep13-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:*
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SPEAKERS
Lex Fridman
hostTomaso Poggio
guestNarrator
other
EPISODE SUMMARY
In this episode of Lex Fridman Podcast, featuring Lex Fridman and Tomaso Poggio, Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 explores Tomaso Poggio on Intelligence, Brains, and the Limits of AI Lex Fridman and Tomaso Poggio explore the nature of intelligence by connecting modern AI to neuroscience, evolution, and human cognition. Poggio argues that understanding the brain—especially the visual cortex and cortical architecture—is likely essential for the biggest future breakthroughs in AI, even though current deep learning only loosely mimics biology. They discuss compositionality, overparameterized deep networks, and why today’s systems still lack true scene understanding, common sense, and human-like sample efficiency. The conversation ranges into ethics, consciousness, AGI timelines, and what it takes to do great science, emphasizing curiosity, fun, and collaboration.
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