A similar dynamic can be observed with text-to-image models like Stability AI’s Stable Diffusion and OpenAI’s Dall-E, which journalists have described as being “inspired” by artists, just like artists are inspired by other artists [116]. Ji…108. “Model size and performance” section, part of Scale’s “Guide to large language models,” at https://scale.com/guides/large-language-models#model-size-and-performance, accessed 31 January 2024.
109. “Real-world challenges for AGI” (2 No…
Karla Ortiz
artist · 2 mentions across 1 reading
In this course
Karla Ortiz is a visual artist and plaintiff in legal cases challenging the use of copyrighted artwork in training generative image models like Stable Diffusion, making her central to debates about AI's relationship to creative labor and intellectual property. Her case appears in the readings as evidence for how text-to-image systems raise questions about the distinction between "inspiration" and unauthorized training data use—the tension between artistic influence and algorithmic extraction. She anchors the course's concern with how AI systems' dependence on human-generated content implicates questions of consent, compensation, and creative agency in the age of machine learning.
Mentioned in 1 reading
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