4.6 • 11K Ratings
🗓️ 20 December 2022
⏱️ 77 minutes
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0:00.0 | Hey, it's Ezra. |
0:02.2 | We are off now until the end of the year. |
0:04.6 | But there's something I wanted to do here in our end of the year rears, editorially, not |
0:08.7 | just throw some old episodes up on the feed. |
0:11.3 | I think when people look back on 2022, one of the main stories is going to prove to have |
0:15.8 | been this breakout year in artificial intelligence. |
0:19.0 | That particularly felt true at the end of the year with the rise or the release of chat |
0:22.5 | GPT, which is a chat system from OpenAI based on a big predictive language model where |
0:29.1 | people could ask a question, and it would return writing that felt remarkably capable, |
0:33.9 | remarkably almost intelligent. |
0:36.7 | And that stuff has all kinds of problems that we're going to be getting into in an episode |
0:40.0 | right after the new year. |
0:42.4 | But I wanted to go back to a couple episodes we've done on AI that I think are going |
0:46.2 | to make a little bit more sense to people right now. |
0:48.2 | And I want to start with this episode with Brian Christian, who wrote a book called |
0:51.6 | The Alignment Problem, which in my view is the single best book you can read on the issue |
0:57.1 | of machine intelligence and the way in which it is difficult for our form of intelligence |
1:02.7 | to interact with it. |
1:04.1 | The way it is much harder than you would think to get a machine to understand what it |
1:07.7 | is you want it to do and make sure that that is the thing that it ends up doing. |
1:12.8 | As these systems get much more powerful and become integrated into many more areas of |
1:16.7 | our lives, the possible damage that misalignment can do is pretty profound. |
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