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This is the main discussion point of the article > Just as machines can be trained to reliably identify cats, or cancerous tumours on medical scans, they can a

This is the main discussion point of the article > Just as machines can be trained to reliably identify cats, or cancerous tumours on medical scans, they can also be trained to differentiate between real images and ai-generated ones. But the conclusion the researchers made was detection at some point wont be reliable and fakes will win

ang_cire 3y ago
The tools the article discusses are *general* AI-detection, meant to be fed any image and determine whether it was AI-generated. I'm talking about a detection model that only detects images produced by one generator/source model, so rather than a one-to-many process of having one tool check an image for many potential source generators' artifacts, you'd have many individually-trained detection models, each being run against a single image/text block.