Apparently, stealing other people’s work to create product for money is now “fair use” as according to OpenAI because they are “innovating” (stealing). Yeah. Move fast and break things, huh?
“Because copyright today covers virtually every sort of human expression—including blogposts, photographs, forum posts, scraps of software code, and government documents—it would be impossible to train today’s leading AI models without using copyrighted materials,” wrote OpenAI in the House of Lords submission.
OpenAI claimed that the authors in that lawsuit “misconceive[d] the scope of copyright, failing to take into account the limitations and exceptions (including fair use) that properly leave room for innovations like the large language models now at the forefront of artificial intelligence.”
Mass produced garbage is still mass produced garbage. As you point out AIs aren’t human and while that removes the limitations of the flesh (including limitations that we might want there - no human ever says oops, I made a child porn), it imposes limitations of the machine. AI output isn’t that good at anything practical. It writes garbage code that even if you manage to get it working, the business manager or whoever isn’t capable of seeing the flaws in it. The art is devoid of any sort of soul and almost always has glaring flaws that require actual humans to identify and fix.
We are about to be inundated with AI produced garbage, sure, but that only proves the lie that shady internet sites and social media have always been a cesspool of shitty, unreliable content, and connecting with hundreds of thousands of faceless strangers was never a good idea. Hopefully we’ll come up with (or go back to) solutions that don’t treat the problem as simply one of volume.
It’s not right to say that ML output isn’t good at practical tasks. It is and it’s already in use and has been for ages. The conversation about these is guided by the relatively anecdotal fact that chatbots and image generation got good so this stuff went viral, but ML models are being used for a bunch of practical uses, from speeding up repetitive, time consuming tasks (e.g. cleaning up motion capture, facial modelling or lip animation in games and movies) or specialized tasks (so much science research is using ML tools these days).
Now, a lot of those are done using fully owned datasets, but not all, and the ramifications there are also important. People dramatically overestimate the impact of trash product flooding channels (which is already the case, as you say) and dramatically underestimate the applications of the underlying tech beyond the couple of viral apps they only got access to recently.