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In 2015, AI research saw a breakthrough in automated image captioning, where machine learning algorithms could describe objects in images with natural language. Researchers then wondered about reversing the process, creating images from text descriptions. They aimed to generate entirely new scenes, rather than retrieving existing images like Google search. By challenging their computer model with unconventional prompts, such as describing a green school bus, they successfully generated novel, albeit simplistic, 32 by 32 pixel images.