
Researchers have found that the buildup of AI-generated content on the web is set to “collapse” machine learning models unless the industry can mitigate the risks.
The University of Oxford team found that using AI-generated datasets to train future models may generate gibberish, a concept known as model collapse. In one example, a model started with a text about European architecture in the Middle Ages and ended up – in the ninth generation – spouting nonsense about jackrabbits.
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