this post was submitted on 13 Jan 2026
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Ai devalues datasets when it refines, many resources are aimed towards solving the degradation that occurs when ai trains on ai. Gradients become poor and quality follows
You're thinking of "model decay", I take it? That's not really a thing in practice.
It is not only a theory, really the models suck balls at their accuracy when it has only rephrased something that was errenous in nature, its very understandable to me