I'd agree, and I'd also argue people were totally cool with that until LLM/GenAI happened.
Somehow it's cool and exciting if you fed YouTube data to reconstruct historical artifacts, prototyped self driving car software, trained super-resolution algorithm, so on, but not GenAI. It's a different thing altogether. It's a double standard, or at least a set of criteria with a hidden decisive criterion.
Just IMO, I think that "double" standard has to be discussed more. It's supposedly about copyright but something is off, and it's definitely not about monetary compensation(individual works of art nor collective income support). There's something else with GenAI/LLM that make people want it gone.
e: anecdotal datapoint that people were cool about AI until LLM/GenAI/OpenAI[1] - no talks of safety, training data provenance, societal harm, nothing negative whatsoever from a digital camera news-blog - and it's about a Diffusion model:
Enhance! Google researchers detail new method for upscaling low-resolution images with impressive results
Published Aug 30, 2021 | Gannon Burgett
[...] Or is it? A new blog post on the Google AI Blog showcases a new technology its developed to upscale low-resolution images with incredible results.