The Myth of Artificial Intelligence
The Lawfare Podcast
The Lawfare Institute
4.7 • 6.4K Ratings
🗓️ 31 March 2021
⏱️ 61 minutes
🧾️ Download transcript
Summary
Alvaro Marañon sat down with Erik Larson, a computer scientist, tech entrepreneur and author of the new book, "The Myth of Artificial Intelligence: Why Computers Can't Think the Way We Do." They talked about his background and expertise with artificial intelligence, what shaped our modern perception of AI and why the next big break in AI always appears to be 10 or 20 years away. They also discussed the current limitations of artificial intelligence, whether there are any dangers to our current approach and whether AI's advancement to super intelligence is really inevitable.
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Transcript
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| 0:00.0 | The following podcast contains advertising. |
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| 0:18.0 | Also, check out LawFair's other podcast offerings, |
| 0:22.0 | rational security, chatter, law fair no bull, and the aftermath. |
| 0:29.0 | The inevitability thesis of AI is something like, |
| 0:39.0 | if we just keep making progress on simpler problems, |
| 0:44.0 | then we will eventually arrive at a kind of general intelligence |
| 0:49.0 | that undergirds human thinking. |
| 0:52.0 | So we have the curious ability to make sense of things in context, |
| 0:58.0 | and navigate dynamic environments. |
| 1:01.0 | There are things that we do quite naturally with our human brains, |
| 1:06.0 | our minds, that really flamics computational systems. |
| 1:11.0 | But the thesis is that we're making steady progress, |
| 1:15.0 | so all you have to do is extrapolate forward at time, |
| 1:18.0 | and you can see that we'll eventually match these capabilities |
| 1:22.0 | in a human mind and then surpass them. |
| 1:25.0 | So my argument is that's actually unscientific, |
| 1:28.0 | because what we're supposed to be doing is evaluating |
| 1:31.0 | the evidence that we have on hand for the inevitability thesis |
| 1:36.0 | in the first place. |
... |
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