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Study finds AI-generated web text can harm or help AI training depending on data volume

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Research from Pangram Labs and the University of Massachusetts Amherst shows AI-generated text now comprises nearly 31% of web content. A new study demonstrates that training AI models on this 'wild' AI text has complex effects on performance. For models trained on minimal human data, AI-generated content initially improves basic language skills. However, for models already trained on substantial human text, exceeding a certain threshold of AI data degrades performance. The findings challenge existing scaling laws and introduce a new framework where token value changes from beneficial to harmful.

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