Quote from: Uncle Pete on December 01, 2022, 19:11
What if the training use is a one time payment or maybe we get nothing at all, for the training. But mostly who says we would be paid for every use of every image that was used to train the AI. Why?
And that's assuming that we get any image selected to be part of the dataset. 360 million images, no one will need to license all of them.
It's one use, from a giant, low cost, subscription, to train the AI. What if they paid us the dime standard, which is supposed to be the minimum. That's it. One dime, one use.
"But mostly who says we would be paid for every use of every image that was used to train the AI. Why?"
Shutterstock says that, citing: "Contributors whose content was used to train either model will be compensated for the role their IP played in the development of the original models, as well as through royalty payments tied to future generative licensing activity." or "Earnings from datasets and downloads of AI-generated content produced with integrated technology on our platform are pooled in a collective fund and will be distributed every 6 months." Why? It is obvious. All the other stock agencies are forbidding AI-generated images because they cannot say the training images were properly sourced and properly compensate them. SS can do that as it know the source and authors of the images. It provides them itself.
There are two different situations here. One is training the AI for other projects. This will be probably one time payment. The second one is AI generation based on our images. And this is "generative licensing activity" which should lead to royalty payments. I understand that we are going to be paid for every generaion of AI image where the AI was trained by our image.
"360 million images, no one will need to license all of them."
The quality of AI is extremely dependent on the size of training dataset. Extremely. It is not only about the quality of the algorithm but also about the quality (size) of dataset. How would you make better AI. You will put more data to that (in our case, more images). Of course, not all of them have to be chosen, but this is how the AI works. More data = usually better AI.
