Post #2605987
2022-12-13 05:42 UTC
@zalcarik@mastodon.social @Manigarm@mastodon.social @mattblaze@federate.social because the input sources are different - with a camera, you have to find or make something to aim the camera at; with AI generation, you’re amalgamating the set of training images (which were already found and/or made by other people). If you want to treat them similarly, AI generation should follow the same rules about including others’ work in the training set, and at best we don’t have documentation of that being the case
Replies (1)
-
@zalcarik@mastodon.social 2022-12-13 06:15
@ShadSterling@mastodon.social @mattblaze@federate.social Suppose I want a photograph of, say, a mountain framed by tree branches. I could look at parks on google, see other people have taken such photographs at a specific place, go to the park, and take my own photograph. I had to find something, sure, but I used other people to do that--nothing I found hadn't, in it's general nature, not been found before. My photograph will still be different, influenced by my own actions but also the random vagaries of nature.