The chapter gives us a reasonable qualitative summary of what has happened in AI so far. It would be interesting to have a more quantitative picture, though this is hard to get. e.g. How much better are the new approaches than the old ones, on some metric? How much was the area funded at different times? How much time has been spent on different things? How has the economic value of the outputs grown over time?
Yes. On the most mundane level, I’d like something a bit more concrete about the AI winters.
Frequently in industries there is a sense that now is a good time or a bad time, but often this subjective impression does not correlate very well with the actual data. And when it does, it is rarely very sensitive to magnitude.
The chapter gives us a reasonable qualitative summary of what has happened in AI so far. It would be interesting to have a more quantitative picture, though this is hard to get. e.g. How much better are the new approaches than the old ones, on some metric? How much was the area funded at different times? How much time has been spent on different things? How has the economic value of the outputs grown over time?
Yes. On the most mundane level, I’d like something a bit more concrete about the AI winters.
Frequently in industries there is a sense that now is a good time or a bad time, but often this subjective impression does not correlate very well with the actual data. And when it does, it is rarely very sensitive to magnitude.