Jules van Binsbergen
speaker
478 appearances
6 recordings
1 series
first heard Jun 2026
last heard 13 Aug
Jules van Binsbergen’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 6 in all, peaking in Jul 2026 with 3.
Appearances
Welcome to the Lauder Institute at the University of Pennsylvania.
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Jules Van Binsbergen, Director of the Institute and a finance professor at the Wharton School.
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It's certainly a question that a lot of people are scared about.
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Everybody's wondering at what point will humans be replaced by machines and if AI could achieve human brain like capacity, would that make humans redundant?
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In that sense, the fact that AI started working this way and be a large predictive model and the fact that the brain is one large predictive model makes it clear that there's similarities to the way that AI is organized today and the way that the human brain works.
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I also like this idea of insight into how the human brain works in the sense that for a long time intelligence tests had like memory-based parts to it as well.
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Well, right.
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And people said if you're very intelligent, that means that you also should have a very good memory.
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And I never quite understood what those two things had to do with each other.
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Because somebody who could really do a CPU type activity in real time, how does that necessarily interact with how good your memory is?
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But now that we've discovered that essentially the human brain is a humongous memory machine that uses all of these memories to create these predictive models.
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of the world and try to just predict the next thing, I think it becomes quite obvious that memory and intelligence are very tightly linked.
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So then the
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And Jonathan, what I think Jeff, our guest today, who I think is a foremost neuroscientist, I think that he would say that he believes that the current AI is not nearly close to what the human brain is doing.
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And I think he's in fact working.
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on a company that is trying to make the new AI even more like the human brain.
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So let's agree that the human brain and AI are both predictive models.
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I do think that in terms of architecture, there's still major differences between the way that the brain is built and current deep learning or AI models are built.
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So given the fact that in the interview itself, I don't think we're going to have that much time to talk specifically about what Jeff did in the book, Jeff Hawkins, and he wrote this book called A Thousand Brains.
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Maybe we should spend a little bit of time on what exactly his argument is about how the human brain works.
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Showing 421–440 of 478 · page 22 of 24
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