While "theft" is probably not a good descriptor of how an image synthesis engine is built, I think the accusation of "plagiarism" is a fair one. The machine is trained on the work of a vast number of artists sourced from multiple databases. We don't know who's in, but more importantly, we don't know who's out. I think it's reasonable to care about the loss of pedigree on the data.
... but it's worth noting that plagiarism tends to be more an academic concern than a corporate concern. An academic's career is built as a peer in a community of idea-traders; to fail to respect the culture of attribution is to be cast out of that community. Corporate espionage and patent violation aside, there isn't really a culture in the corporate world of citing the source of one's ideas; nobody cares if Lego's inventor was inspired by God or by ten years of cobbling in their workshop as long as the pieces click together. So it is, perhaps, a fair criticism that the creators and consumers don't particularly care about.
And, to come back to the example of building the search index for a Google, it's not an issue for that use case because creators feel sufficiently compensated when they get linked to (even though, technically, we have no idea the pedigree of the search engine's choice to synthesize a link-out... It may have directly crawled the site, it may have decided the site was worthwhile from in-links without crawling it, it may be a manual override or a link harvested from a trusted authority on "cool links." Again, nobody complains about "pedigree" or "plagarism" here unless the system is perceived to not be working to their best interests... Notably, other indexes do complain that Google harvests their link-aggregations without consent!).
I feel there has to be a way of training neural networks to recognise the influence of their training data on the output.
This would probably include training a complementary indexing network + database that would then ”reverse-training” resolve and offer at some predetermined accuracy the #copyright-viable sources for each generated #aiart
I need some help though. A proof would show the companies know it can be done, but they just don’t want to.
In other words: Getting paid a reasonable amount from the model providers would incentivise people to be part of the training data.
Getting also paid from using the models creatively incentivises their use, and this is where copyright reform is most needed.
Instead of remaining a grey area forever, as the industry would sure be happy about, we need legal category for the remix as legit piece of art, not bastardisation.
#TheMetalDogArticleList #BLABBERMOUTH
DEEP PURPLE's ROGER GLOVER Says Decision To Enlist DWEEZIL ZAPPA To Remix 'Machine Head' Was 'Probably A Marketing' Idea
Finished a port of a complex side project from #nextjs to #remix and I’m honestly quite happy.
Layouts are great, I had two failed ports to nextjs app directory. I’m not in love with remix’s route api but it works! I don’t have strange edge cases and there’s a js api escape hatch
loaders and actions are wonderful, I got rid of a whole ass api server. Having an actual request and response to work with is a breath of fresh air
redid a mashup that literally was less than a month ago 🤪🤪🤪
songs used:
IVE - My Satisfaction
Avenged Sevenfold - Nightmare (demo version)
too addicted to these two songs 😂 and decided to add a bit more spice and cool stuff to the instrumental :))
So I am slowly digesting the official tutorial for remix.js & I am finding it a pleasant experience.
They have tried to clean up the React meta framework experience.
I have used Next.js & vanilla react.js in the past, but I can see myself using Remix.js, especially now that Shopify have adopted it as well.
I am curious why are react people not interested in Remix.js?
This is a logical question I am not trying to attack someone's personal preference.
????
this was supposed to be a normal remix but I immediately fell to a bandcore phase... and now it's kinda like medieval-inspired but also trap and why are there also brass instruments
song used:
Future Perfect (Pass the Mic) by ENHYPEN