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that is AWESOME! and what's even more exciting is that I have no problem understanding the mathematics and calculation behind it (the 5 190-something-dimensional vectors, and finding the point, i.e. sample bit, in the library closest to an argument sample bit)
and what a coincidence...i just did a project in a scientific computing class dealing with face recognition - to summarize, given a sample of let's say 20 images of different faces (those images are represented as matrices), a different face can be approximated pretty closely using only the data from the 20 image dataset - this is essentially the same concept as scrambled?hackz!
(for more info look up "eigenfaces")
and nefardec, it only seems crude in the video, and for all we know that may be because the sample music/video they are using is limited. in the eigenface analogy, a new face is only very roughly approximated if only let's say 5 images are in the dataset. given a large database of samples, the technology will be less and less crude. theoretically, if the database is large enough, a new sample introduced will be perfectly approximated, i.e. the approximation will equal the original.
imagine the implications this may have on copyrighting...if any track can be represented as a (huge) collection of infinitesimal samples from other sounds. future copyright checks may be linear algebra calculations that tell us how close the matrix representation of one musical piece is to that of another...
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not everyone understands house music
it's a spiritual thing
a body thing
a soul thing
http://www.soundcloud.com/petkonik
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