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AI models collapse when trained on recursively generated data
Nature, Published online: 24 July 2024; doi:10.1038/s41586-024-07566-y
Analysis shows that indiscriminately training generative artificial intelligence on real and generated content, usually done by scraping data from the Internet, can lead to a collapse in the ability of the models to generate diverse high-quality output.