Stable Diffusion Models Reveal a Persisting Human-AI Gap in Visual Creativity

While the article focuses on visual creativity and AI, it makes important points about other types of creativity and AI. In particular, the article states, "Nonetheless, points of criticism around computational creativity have also emerged, from GenAI's reliance on statistical recombination of training data in its creative process to, most importantly, the issue of prompt-dependency, arguably leading to a lack of true creative agency and intentionality in the models."

It is clear that AI generated works of art, literature, and music are derivative and mediocre works that are highly plagiarized. The way the large language models used by AI work prevent them from being creative. Using AI to make a work of art, literature, or music should not be a source of pride. Selling that work is ripping other people off.

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