Gary Marcus is well known as a deep learning critic. A neuroscientist, entrepreneur, and the author of “Rebooting AI: Building Artificial Intelligence We Can Trust,” Marcus believes that researchers need to move past deep learning in order to make true advances in machine intelligence. Marcus and Azeem Azhar discuss why, how, and when we can expect progress. In this podcast, they also discuss: What newborn ibexes can teach us about intelligence and learning. How deep learning widens the gap between big companies and startups. What we need for a breakthrough in AI. Further reading: “How to Build Artificial Intelligence We Can Trust” (The New York Times, Gary Marcus and Ernest Davis, Sep. 6, 2019) “Deep Learning: A Critical Appraisal” (Cornell University, Gary Marcus, Jan. 2, 2018) @garymarcus @azeem @exponentialview Exponential View newsletter Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
No persons identified in this episode.
This episode hasn't been transcribed yet
Help us prioritize this episode for transcription by upvoting it.
Popular episodes get transcribed faster
Other episodes from Azeem Azhar's Exponential View
Transcribed and ready to explore now
The method of invention, AI's new clock speed and why capital markets are confused
05 Dec 2025
Azeem Azhar's Exponential View
Why the AI productivity gains haven’t arrived - yet
21 Nov 2025
Azeem Azhar's Exponential View
Where did all the entry-level jobs go? (With Revelio CEO Ben Zweig)
14 Nov 2025
Azeem Azhar's Exponential View
The demand for infinite compute
07 Nov 2025
Azeem Azhar's Exponential View
Inside the US–China decoupling: What’s really at stake (AI, rare earths, Taiwan, trade)
23 Oct 2025
Azeem Azhar's Exponential View
Inside the collapse of the internet economy (and what comes next)
08 Oct 2025
Azeem Azhar's Exponential View