this post was submitted on 28 Jan 2024
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Not that I am a fan of the current implementation of copyright in the US, but I know if I was planning on building my business around something that couldn’t exist without violating copyright I would surely thought of that fairly early on.
"My profits from fencing your wallet could not exist if stealing your wallet were punished."
"Ah, you're right, how silly of me, carry on."
You should check out this article by Kit Walsh, a senior staff attorney at the EFF, and this one by Katherine Klosek, the director of information policy and federal relations at the Association of Research Libraries.
from your second link. I don't often see this brought up in discussions. The problem of models trained on copyrighted info is definitely different than what you do with that model/output from it. If you're making money from infringing, the fair use arguments are historically less successful. I have less of an issue with the general training of a model vs. commercial infringing use.
You're responsible for infringing works, whether you used Photoshop, copy & paste, or a generative model.
I don't disagree with that statement. I'm having trouble seeing how that fits with what I said, though. Can you elaborate?
It doesn't really, I was just kind of restating what you quoted. Since no one factor of fair use is more important than the others, and it is possible to have a fair use defense even if you do not meet all the criteria of fair use, do you have data to back up your claims about moneymaking infringement?
Cool. Thanks. I can see it now. No, not really, just the pieces over time I've read on what wins fair use protections when challenged often talk about the interpretations involved and that profit making was generally seen as detracting from gaining fair use protections when the extent of the transformative nature was in question.
This mentions it, but of course it isn't data on what has been granted protections vs. denials of protection. Harvard counsel primer on copyright and fair use