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Cannibal AIs Could Risk Digital 'Mad Cow Disease' Without Fresh Data
A new article in ScienceAlert describes new research into the dangers of "heavily processed sources of digital nourishment" for generative AI: A new study by researchers from Rice University and Stanford University in the US offers evidence that when AI engines are trained on synthetic, machine-ma...
A new article in ScienceAlert describes new research into the dangers of "heavily processed sources of digital nourishment" for generative AI: A new study by researchers from Rice University and Stanford University in the US offers evidence that when AI engines are trained on synthetic, machine-made input rather than text and images made by actual people, the quality of their output starts to suffer. "Some ramifications are clear: without enough fresh real data, future generative models are doomed to MADness." The article notes that "faces began to look more and more like each other when fresh, human-generated training data wasn't involved.
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