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The AI research space is still a pretty green field. Right now you can basically take any random paper and combine it with another random paper and you will be
by hobofan 9y ago
The AI research space is still a pretty green field. Right now you can basically take any random paper and combine it with another random paper and you will be able to find a use case where that succeeds and write a new paper about it. More experienced researchers will, of course, have a better intuition/knowledge of what techniques to combine to get more impressive results.
As long as it stays like that (and by opening up new sub-areas, it could stay like that for quite some while), adding more somewhat qualified people to the field results in all the useful combinations being discovered faster and thus exposing new potential starting points. Probably no exponential growth in the strict sense, but quadratic growth isn't bad either.
- pg_bot 9y agoPerhaps we could build some sort of neural net that ingests AI research papers and then outputs the next big thing in AI. \s
- hobofan 9y agoHalf of the research papers titles already read like that, so why not? ¯\_(ツ)_/¯ ("Learning to learn by gradient descent by gradient descent")
- ericand 9y agoThis is interesting. Good time to be a researcher!