take as an example "bytes" as input, with no further parsing or interpretation given to them. with enough input data and enough time spent iterating on it, you

take as an example "bytes" as input, with no further parsing or interpretation given to them. with enough input data and enough time spent iterating on it, you might well come out with decent wordlists, instruction sets, and things like that. if you work the statistics on the wordlists they give you some table based stemmer and thesaurus implications too. if you go in with a trimmed and parsed dataset its harder to get (what i call) introspection pattern recognition from it because you haven't got enough disparate samples to build a decent universe to compare too. what you assume going in stamps its shape on the whole thing.