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AI image generators learn by processing enormous datasets of existing images and their descriptions. They identify patterns, styles, and features, then use this knowledge to create new, original images based on text prompts. This process allows them to generate diverse content, from realistic photos to abstract art, but also means they can perpetuate biases present in their training data, such as the thin ideals mentioned in the story.
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