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  jbosh
  I love it. So much in computers is trade offs and this was a fun read exploring it.It would be interesting to see some economics of what 8,000% increase in encoding time takes to make that money back in terms of storage or bandwidth. I also wonder how brotli/lzma would compare here. Are there some obscene modes on those that had similar results?
• jedbrooke
  reminds me of the x264 “placebo” encoder settinghttps://trac.ffmpeg.org/wiki/Encode/H.264#FAQ
• tobijdc
  There is also zopfli and it's decadent ECT that allow for more extreme tradeoffs.
• blobbers
  As someone currently exploring grid searches of encodings + compressor combos, and currently looking at neural compressors that reduce size almost half that of a traditional compressor yet take order from ms -> minutes to operate in either direction, I appreciate a good compression post!
• userbinator
  It's interesting to see just how far Deflate can be taken, and to know that even after decades there is still some (admittedly tiny) room for improvement. Optimal LZ is well-known, and so is static Huffman, but their combination creates some additional inefficiencies(opportunities)....and of course it's written by someone with a Russian name, and has that characteristic style common to many other articles about data compression.
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  pella
  OpenZL is the future: https://openzl.org/ "OpenZL delivers high compression ratios while preserving high speed, a level of performance that is out of reach for generic compressors. OpenZL takes a description of your data and builds from it a specialized compressor optimized for your specific format."
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  Someone
  So, what’s the effect on memory usage?And for decompression, the effect on memory usage and timings?