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When a model is trained on 'all-rights-reserved' content like most image datasets, the community say it's fair game. But when it's 'just-a-few-rights-reserved'
by joe_the_user 4y ago
When a model is trained on 'all-rights-reserved' content like most image datasets, the community say it's fair game. But when it's 'just-a-few-rights-reserved' content like GPL code, apparently the community says that crosses a line?
A) This is just taking divided opinion and treating it like a person with a contradictory opinion (as others have noted).
B) Nothing about GPL makes it "less copyrighted". Acting like a commercial copyright is "stronger" because it doesn't immediately grant certain uses is false and needs to be challenged whenever the claim is made.
C) If anything, I suspect image generation is going to be practically more problematic for users - you'll be exhibiting a result that might be very similar to the copyrighted training, might contain a watermark, etc. If you paste a big piece of GPL'd copy into your commercial source code, it won't necessarily be obvious once the thing is compiled (though there are whistleblowers and etc, don't do it).
- 6gvONxR4sf7o 4y ago> Nothing about GPL makes it "less copyrighted". Acting like a commercial copyright is "stronger" because it doesn't immediately grant certain uses is false and needs to be challenged whenever the claim is made. GPL says "you have a license to use it if you do XYZ." The alternative is "you have no license to use it." How is that not strictly "stronger?"
- joe_the_user 4y agoThe GPL is as strong as a commercial license in the sense that the conditions it does specify are exactly as legally binding as those of a commercial license.
- 6gvONxR4sf7o 4y agoRight, but a license is more permissive than no license.