Why AI Is Training on Its Own Garbage (and How to Fix It)

# AI Is Starting to Learn From Its Own Mistakes As AI systems generate more content online, newer AI models are increasingly trained on text created by other AI systems rather than humans—which means errors and biases get amplified over time, like a photocopy of a photocopy getting worse each generation. The article explores why this is happening and what solutions might prevent AI from essentially training itself into unreliability. Understanding this matters for your work because it affects how trustworthy AI-generated information and recommendations will be in the future.