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AI Summary: Generative AI models trained on narrow aesthetic datasets are producing flawless, symmetrical, and smooth illustrations for restaurant menus, which can elicit a sense of unease. These models, often trained on vast quantities of data, identify patterns to predict user requests, but can result in "Lovecraftian food horrors" and homogenized styles. The issue arises from training on AI-generated content, which can lead to model convergence or collapse, degrading output quality. This convergence reinforces a cycle of similar-looking outputs, further homogenizing styles.