I read a bit of what you previously wrote about your approach but I didn't read your full book.
I think a bunch of Quantified Self applications would profit from good compression. It's for example relatively interesting to sample galvanic skin response in very short time intervals of 5ms. Similar things go for accelerometer data. It would be interesting what kind of data you can draw from the noisy heart rate data on smartwatches with shorter time intervals.
Smart watches could easily gather that data with shorter time accuracy than they currently do but they have relatively limited space.
In practice I think it will depend a lot on how easy it is to use your software.
Maybe you could also have a gamified version. You have a website and every week there's a dataset that get's published. Only have of the data is released. Every participant can enter their own model via a website and the person who's model compresses the unreleased part of the data the best wins.
Thanks for the feedback.
You have a website and every week there's a dataset that get's published.
A couple years ago (wow, is LessWrong really that old?) I challenged people to Compress the GSS, but nobody accepted the offer...
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