3 ms·
I like a good metaphor, so I see your point, though it doesn't quite fit for me. To me, training a model is less like redistribution and more like reading some
by petercooper 3y ago
I like a good metaphor, so I see your point, though it doesn't quite fit for me.
To me, training a model is less like redistribution and more like reading something and having it influence your thoughts. You may be able to reproduce certain memorable sections of things you've read verbatim (common with poetry, for example) and you may well be able to reproduce a 'style', but you don't have the entirety of the source material memorized in a way that it could be redistributed in full (but if you did, that may be well an infringement at such a time).
- ineptech 3y agoI agree that copying music is not all that similar to an AI model using training data, but they're both examples of a superficially similar activity being transformed by automation and scale. The difference between manually copying a song on cassette for a friend and uploading that song to napster resembles the difference between a human learning to draw in an established artist's style to an AI model learning to draw in an established artist's style. In both cases, the offender's defense is a variation on, "It was okay when humans did this slowly..."