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I chose to not play this one, so I can't offer any feedback.

Regarding attribution/giving credit, given the rules of this jam and the intent behind it, there is a reason that we require participants to make all assets/content themselves unless it is existing Free/Open Culture licenced works. Signal boosting and celebrating the creations of people who have chosen to participate in the Free Software and Open Culture movements is important and valuable. We have disqualified submissions for making use of content that doesn't fit those requirements and/or for not providing proper credit/attribution.

With that in mind, I think it's reasonable to require that the authors and licences of all content that the machine learning synthesis platform you have used be credited as well. I understand that you may not be in a position to do this if you didn't train it yourself, and given that we didn't have explicit rules about AI/machine learning synthesised content, I'm not going to disqualify you here.

(+1)

thank you for not boot booting me. I'll check my history and look what AI I used. It was something really random. Not even trained.

Are you certain it wasn't trained? I feel like you don't get the kind of almost-Sean-Connery or almost-handwriting in your cover image without using something that's been trained on Sean Connery and handwriting.

Oh, I completely forgot to touch on You also mentioned photobashing - if you weren't using stuff you created yourself, it's important to credit sources there as well.

is this considered training AI? "Ramirez from highlander looking detective portrait" that was it. 

I'll reconsider photobashing in the future then. Too much hassle.

No, the training all the images and metadata that the system has processed in order to build its models. It's how the system "knows" what "Ramirez from Highlander" means.