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A better essay collecting some (correct!) examples in the same general direction is this paper by Banko & Brill: http://www.aclweb.org/anthology/P01-1005 … See eg this great graph, showing performance as a function of training data size. In this example: more data >> smarter algorithmpic.twitter.com/zwEmQSGMcP
There is, IMO, a good paper to be written following this up, carefully understanding the relationship between scale and clever ideas.
The Banko & Brill paper helped catalyse the 'big data' hype, but few people have shared the many examples where the opposite is true (i.e. where more data doesn't really help at all).
Yeah - it'd be nice to have a whole bundle of examples fleshing this out carefully, and collected up in one place.
You need cleverness to plant the flag first. Ten years down the road the cleverness won’t be needed, scale in computation allows more naive solutions to work. With today’s compute you can write a dumber chess agent that outperforms DeepBlue.
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