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Feeding AI datasets
Love the magazine. Just wanted to share that I feel Christina Kraus really hit the nail on the head in issue 226 about how AI will be in the future.
Alot of the arguments I hear for AI at the moment are that it can’t replicate human imagination or some similar principle. But the profit lies in making it able to do this, and whenever someone types in “make it more painterly” or, worse, “make it in the style of XXXX”, the AI is creating a dataset. As much as we might all believe our creative work to be inspired or ethereal at times, it really is just our in-built intelligent minds that are compiling training of methods and influences. Those are our datasets.
What worries me is that economically it will be cheaper to get a person to be an AI art prompter, who’s job it is to corral the AI to something usable. That alone would eliminate scores of teams from the art industry. Heck, even the music industry as well. And it’ll work because it will, just like so many other things, be packaged as a convenience.
We’ve covered AI in the art industry a few times, and the topic is one that will continue to raise passions for a while yet.
DID YOU MISS THE PREVIOUS PACKED ISSUE? single-ifx. Don’t worry – you can get hold of issue 236 at
Starting in issue 235, our current series by Charlie Pickard teaches you fundamental anatomy skills.
I hope this doesn’t come across as a tin-foil hat conspiracy as it does when I bend my friends’ ears about it, but people who are seeing the issue with AI are fully aware the issue is worse so in the future. I worry too that ethical datasets are one thing (not using artist names for example), but consider how musicians tune their guitars to certain levels or use the same pedals, tempos or signature sound if you like. All
