Recent findings by researchers from Britain and Canada state that generative AI models exhibit a phenomenon known as “model collapse“. This degenerative process occurs when models learn from data generated by other models, leading to a gradual loss of accurate representation of true data distribution. Remarkably, it is deemed unavoidable, even in scenarios where the conditions for long-term learning are nearly ideal.

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Ansari, T. (2023, July 18). The Dark Consequence of AI’s Data Cannibalism. Analytics India Magazine. https://analyticsindiamag.com/the-dark-consequence-of-ais-data-cannibalism/