The guy in the videos sounds really convinced. Is this a big thing or more of a “cautious optimism” thing as is with most scientific innovation?
It’ll have its uses, I’m sure, but is not like this training specialized compressors is free, or even always advantageous
The goal of OpenZL is to generate specialized compressors, optimized for user’s input. To this end, you are going to train a new profile and use it to compress the data. The approach makes more sense when compressing a large flow of similar data, because the cost of training is then amortized across all future compressions.
Or you just use the same concept from the early 90s where you have a dedicated routine for data as a library which is used instead and offers more benefits.
Might as well code it properly than recode it in a more generic way in another language.
