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the moment you cannot in any practical way tell if the data set was corrupted with copyrighted material, nobody will convict you for any accidental violations t
by muyuu 4y ago
the moment you cannot in any practical way tell if the data set was corrupted with copyrighted material, nobody will convict you for any accidental violations that may occur, even in the astronomically low probability that they do with standard parameters
- Arelius 4y agoMy point is being able to reliably reproduce copyright works will function as a very practical way to tell if the dataset was corrupted with copyrighted material. In that way it’ll be a lot easier to prove that a dataset was corrupted, then proving the negative.