Just want to point out that it absolutely is possible to train an AI that will keep track of its sources for inspiration and can attribute those when it makes a response.
Meaning creators could be compensated for their parts of AI generated stuff, if anyone wanted to.
I use Phind solving computer problems. It does cite the sources it uses. At least for distro and general Linux issues. So far, it’s been a very good resource when I’ve needed it.
The entire training set isn’t used in each permutation. Your keywords are building the samples based on metadata tags tied back to the original images.
If you ask for “Iron Man in a cowboy hat”, the toolset will reach for some catalog of Iron Man images and some catalog of cowboy hat images and some catalog of person-in-cowboy-hat images, when looking for a basis of comparison as it renders the image.
These would be the images attributed to the output.
Just want to point out that it absolutely is possible to train an AI that will keep track of its sources for inspiration and can attribute those when it makes a response.
Meaning creators could be compensated for their parts of AI generated stuff, if anyone wanted to.
Doesn’t Phind do this already? I haven’t used it much but I remember it showing its sources for answers of code-related stuff
I use Phind solving computer problems. It does cite the sources it uses. At least for distro and general Linux issues. So far, it’s been a very good resource when I’ve needed it.
Other than citing the entire training data set, how would this be possible?
The entire training set isn’t used in each permutation. Your keywords are building the samples based on metadata tags tied back to the original images.
If you ask for “Iron Man in a cowboy hat”, the toolset will reach for some catalog of Iron Man images and some catalog of cowboy hat images and some catalog of person-in-cowboy-hat images, when looking for a basis of comparison as it renders the image.
These would be the images attributed to the output.