While this may be true, the overwhelming response to this tool that I've seen in my artist circles has been strictly negative.
GI won some brownie points among artists when they banned user-submitted AI content and filed a lawsuit against Stability, but the sentiment seems to have now shifted back as people are realizing that was just a ploy to make room for their own AI solution.
Kudos to GI for searching for a solution that attempts to fairly compensate those who contribute to their model though, even if it's not perfect (and seemingly not explained/marketed well to critics). Their implementation:
> When pressed to go into more detail, Peters specified that there currently isn't a tool for Getty to assess which artist deserves credit every time an AI image is generated. Instead, Getty will rely on a fixed model that Peters said determines "what proportion of the training set does your content represent? And then, how has that content performed in our licensing world over time? It’s kind of a proxy for quality and quantity. So, it’s kind of a blend of the two."
Totally agree. That article is from the POV of the company. The current situation loosely reminds me of the 80s and 90s and the fight over digital distribution. It's going to take a long time for the law and the business to catch up to the technology. When I first saw this article, I kind of cringed, but I think its a worthy experiment in a spectrum of solutions.
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[ 4.0 ms ] story [ 16.2 ms ] threadGI won some brownie points among artists when they banned user-submitted AI content and filed a lawsuit against Stability, but the sentiment seems to have now shifted back as people are realizing that was just a ploy to make room for their own AI solution.
Kudos to GI for searching for a solution that attempts to fairly compensate those who contribute to their model though, even if it's not perfect (and seemingly not explained/marketed well to critics). Their implementation:
> When pressed to go into more detail, Peters specified that there currently isn't a tool for Getty to assess which artist deserves credit every time an AI image is generated. Instead, Getty will rely on a fixed model that Peters said determines "what proportion of the training set does your content represent? And then, how has that content performed in our licensing world over time? It’s kind of a proxy for quality and quantity. So, it’s kind of a blend of the two."