A "generator" AI then starts to create images, and a "discriminator" AI tries to guess if they're real images or AI creations.Īt first, they're evenly matched, both being absolutely terrible at their jobs. The generative adversarial network, or GAN, first emerged in 2014, putting forth the idea of two AIs in competition with one another, both "trained" by being shown a huge number of real images, labeled to help the algorithms learn what they're looking at. The pace of progress in the field of AI-powered text-to-image generation is positively frightening. The greatest artistic tool ever built, or a harbinger of doom for entire creative industries? OpenAI's second-generation DALL-E 2 system is slowly opening up to the public, and its text-based image generation and editing abilities are awe-inspiring.
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