imagemonkey-core
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ideas , given 2023 situation
observations about the current state of AI..
so over the past year there's been these diffusion models & large language models become available to be public
There's the controversy over training data (scrapes)
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e.g. Steam doesn't allow games with AI generated content, or even use of ChatGPT ; they're covering themselves
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That seems to me to validate the need for a efforts such as imagemonkey to produce more CC0 open training data?
Individuals such as ourselves can't currently produce foundation models.
but models like stable-diffusion can be fine-tuned (stability.ai's argument about the scrapes is that a fine-tuned model can remove its ability to recreate copyrighted material in the original scrapes, which sometimes come through)
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I see that you had VGC finetuning integrated in imagemonkey.. have you considered extending your service to finetune diffusion models?
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Also consider that in time multi-modal models may appear.. ones trained simultaneously on images & text