4 ms·
It sounds like they basically find part of a pseudo-random sequence that is closest to the desired data, then store the random seed and corrections (which are s
by gblargg 2y ago
It sounds like they basically find part of a pseudo-random sequence that is closest to the desired data, then store the random seed and corrections (which are small so take less space).
- joerick 2y agoPretty fascinating from an information theory point of view. Surprising that it works at all. Is this, like, the JPEG of uniformly distributed, uncorrelated data?
- barotalomey 2y agoYou might find The Library of Babel fascinating [1, 2] 1: https://libraryofbabel.info/ https://libraryofbabel.info/ 2: https://news.ycombinator.com/item?id=9480949 https://news.ycombinator.com/item?id=9480949
- samus 2y agoWe don't know. They basically look for sequences that approximate NN weights well, in the same way sinusoidal functions work well with "natural" images, but not with graphics with hard edges.