👉 AI "pimples," or generative adversarial networks (GANs), are a class of machine learning models used for generating realistic images, videos, or other content by competing against each other. These models consist of two neural networks: a generator that creates synthetic data and a discriminator that evaluates its authenticity. Over time, the generator improves at producing highly realistic outputs, while the discriminator becomes better at distinguishing real from fake. This adversarial process can lead to the creation of incredibly detailed and lifelike images, but it can also result in artifacts or "pimples" such as distorted features, unnatural textures, or inconsistencies that arise from the competition between the two networks. These imperfections highlight the challenges in achieving perfect realism in AI-generated content.
