Lifelong Learning
Let's Know Things
Colin Wright
4.8 • 593 Ratings
🗓️ 10 March 2020
⏱️ 26 minutes
🧾️ Download transcript
Summary
This week we talk about automation, the future of work, and Garry Kasparov.
We also discuss user agents, AlphaGo, and social safety nets.
This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit letsknowthings.substack.com/subscribe
Transcript
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| 0:00.0 | In the mid-1990s, a supercomputer built by IBM called Deep Blue played chess against then world champion, Gary Kasparov. |
| 0:24.7 | There were two matches, each encompassing six games. |
| 0:28.2 | The first match was won by Kasparov four to two, but that loss netted Deep Blue, a world first, |
| 0:34.2 | the first computer program to defeat a world champion in a classical game of chess |
| 0:39.1 | under official tournament rules. The second match, though, which took place in mid-1997, went to Deep Blue, |
| 0:47.1 | 3.5 to 2.5, those halves the result of three draws out of the six games. This earned deep blue the additional accolade |
| 0:56.6 | of having been the first computer program to defeat a world champion in a match, a complete |
| 1:01.7 | collection of six games, ever. This was, and still is by many, considered to be a milestone |
| 1:08.3 | moment in the history of the game of chess, |
| 1:14.3 | but also more broadly in the development of software, |
| 1:17.6 | of what you might call a type of artificial intelligence, |
| 1:22.5 | as long as we're sticking with a non-general intelligence definition of the term, |
| 1:28.8 | software that can do impressive computation and something that seems a bit like thinking, but which is really mostly just brute forcing problems with incredible algorithmic sophistication. |
| 1:34.9 | That's not meant to underplay the significance of the event, however. |
| 1:38.0 | Up until this point, it was considered a bit of a truism that chess was a game in which |
| 1:43.1 | humans would probably always maintain the upper hand |
| 1:46.8 | over our machines. Computers were powerful, but somewhat linear thinkers, after all. And chess required |
| 1:54.1 | creativity. The sheer number of possible moves and outcomes requires a sort of dexterity to one's |
| 2:00.5 | thinking. Having shown that this wasn't |
| 2:02.6 | necessarily the case, the dominant narrative shifted to the traditional Chinese board game, |
| 2:08.1 | Go, which has in some ways simpler rules than chess, but a far larger set of potential moves, |
| 2:14.4 | and thus it should require more human intuition. |
... |
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