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It naturally follows from the compression-as-intelligence school of thought that building general-purpose compression/intelligence is hard. I very much believe
by vtuulos 12y ago
It naturally follows from the compression-as-intelligence school of thought that building general-purpose compression/intelligence is hard.
I very much believe in domain-specific intelligence, and correspondingly domain-specific compression. Here's a practical business use case for lossless compression (in-memory analytics), which I have been developing:
http://tuulos.github.io/pydata-2014/ http://tuulos.github.io/pydata-2014/
In contrast to general-purpose encoders, this approach is extremely data-intensive, compressing terabytes per chunk.
- gwern 12y ago> that building general-purpose compression/intelligence is hard. Yes, but my point is. that we seem to be doing better at general-purpose intelligence than at compression despite the apparent equivalence of progress.