The art of AI-generated images has advanced to a level where distinguishing between human and AI creations can challenge the keenest eye. AI models like GANs and VAEs have blurred the lines between human and machine creativity with stunning results. Identifying subtle patterns or imperfections typical of AI, such as repetitive textures or minor inconsistencies, might hint at a machine's touch. Conversely, human-made images often reveal intricate details and nuances that AI struggles to replicate accurately.

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The tool we mentioned, boasting a 95% accuracy rate in distinguishing between AI-generated and human-created images, likely uses a combination of factors to make this determination. These could include pixel-level analysis, feature extraction, style recognition, and possibly even neural network analysis to detect underlying patterns indicative of AI generation.

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