Creating “humanlike minds” is the next step in AI development
Marketplace Tech
Marketplace
4.5 • 1.3K Ratings
🗓️ 26 July 2023
⏱️ 14 minutes
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Summary
Even the most impressive artificial intelligence today isn’t quite what we see in science fiction. The superintelligent humanoids of “Westworld,” the malevolent supercomputer in “2001: A Space Odyssey” and the emotionally attuned operating system in “Her” are all more like artificial general intelligence, rather than just artificial intelligence. They’re machines that are capable of everything humans are, or even more. As far as we know, AGI hasn’t become a reality yet. But John Licato, a professor of computer science at the University of South Florida, tells Marketplace’s Meghan McCarty Carino that experts don’t always agree on where the tipping point is.
Transcript
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| 0:00.0 | Marketplace Morning reports new Skin in the Game series explores what we can learn about |
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| 0:15.9 | Listen to Skin in the Game and more from the Marketplace Morning report wherever you get your |
| 0:20.7 | podcasts. AI can't think like a human yet, but the differences are getting harder to spot. |
| 0:30.6 | From American public media, this is Marketplace Tech. I'm Megan McCarty Carino. |
| 0:34.8 | Even the most impressive artificial intelligence today isn't quite what we see in sci-fi. The super |
| 0:51.6 | intelligent humanoids of Westworld, the malevolent supercomputer in 2001, a space odyssey, or the |
| 0:58.8 | emotionally attuned operating system in her. These are more like artificial general intelligence, |
| 1:05.7 | or AGI, machines that are capable of everything humans are, or more. As far as we know, AGI hasn't |
| 1:14.0 | become a reality yet, but according to John Lakado, a professor of computer science at the University |
| 1:19.8 | of South Florida, experts don't always agree on what the tipping point is. There's a set of |
| 1:26.0 | problems that we sometimes call AI hard or AI complete. By that, we mean that if any of those |
| 1:33.3 | problems are solved by an algorithm, then we can say that that algorithm has what it takes to do |
| 1:40.2 | everything else that a typical human can. Even within researchers, we don't all agree |
| 1:46.5 | on which problems are AI complete. The boundary shifts. For example, 40 years ago, |
| 1:54.0 | there were some people saying that chess is an AI complete problem. 20 years ago, some were |
| 1:59.6 | saying that jeopardy was an AI complete problem. Then we developed AI capable of beating the best |
| 2:05.7 | human players in both of those games. A lot of them would still say that AGI is something we |
| 2:12.5 | don't have today. Over time, we have these shifting goal posts on what the distinction is between |
| 2:18.9 | AGI and AI and also between the division between human and artificial. |
| 2:25.9 | Right. I think a lot of people might have heard of the touring test, Alan Turing, the idea that |
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