> Generative AI for source code learns from developers - who mostly publish their source with licenses that allow this.

As far as I'm concerned, not at all. FOSS code that I have written is not intended to enrich LLM companies and make developers of closed source competition more effective. The legal situation is not clear yet.

I'm not sure how valid it is to view artwork differently than source code for this purpose.

1. There is tons of public domain or similarly licensed artwork to learn from, so there's no reason a generative AI for art needs to have been trained on disallowed content anymore than a code generating one.

2. I have no doubt that there exist both source code AIs that have been trained on code that had licenses disallowing such use and art AIs have that been trained only on art that allows such use. So, it feels flawed to just assume that AI code generation is in the clear and AI art is in the wrong.

> rightfully criticised because it steals from artists. Generative AI for source code learns from developers

The double standard here is too much. Notice how one is stealing while the other is learning from? How are diffusion models not "learning from all the previous art"? It's literally the same concept. The art generated is not a 1-1 copy in any way.

"Mostly" is doing some heavy lifting there. Even if you don't see a problem with reams of copyleft code being ingested, you're not seeing the connection? Trusting the companies that happily pirated as many books as they could pull from Anna's Archive and as much art as they could slurp from DeviantArt, pixiv, and imageboards? The GP had the insight that this doesn't get called out when it's hidden, but that's the whole point. Laundering of other people's work at such a scale that it feels inevitable or impossible to stop is the tacit goal of the AI industry. We don't need to trip over ourselves glorifying the 'business model' of rampant illegality in the name of monopoly before regulations can catch up.

> The quality suffers in both cases

According to your omnivision?

I really don't agree with this argument because copying and learning are so distinct. If I write in a famous author's style style and try to pass my work off as theirs, everyone agrees that's unethical. But if I just read a lot of their work and get a sense of what works and doesn't in fiction, then use that learning to write fiction in the same genre, everyone agrees that my learning from a better author is fair game. Pretty sure that's the case even if my work cuts into their sales despite being inferior.

The argument seems to be that it's different when the learner is a machine rather than a human, and I can sort of see the 'if everyone did it' argument for making that distinction. But even if we take for granted that a human should be allowed to learn from prior art and a machine shouldn't, this just guarantees an arms race for machines better impersonating humans, and that also ends in a terrible place if everyone does it.

If there's an aspect I haven't considered here I'd certainly welcome some food for thought. I am getting seriously exasperated at the ratio of pathos to logos and ethos on this subject and would really welcome seeing some appeals to logic or ethics, even if they disagree with my position.

Wow you do group things efficiently, that much I can say.

Just like feminism when it was starting, back then millions of women strongly believed it was silly for them to vote, and that's one example, and similar thing has happened with hundreds other things that we now take for granted, so it's value as judgment measure it's very low by itself alone.