Model Collapse and the Need for Human-Generated Training Data
(All opinions herein are solely our own and do not express the views or opinions of our employer.)
Generative AI is poisoning its own well: online content is increasingly generated by AI; this data is used to train new models; those models then generate more online content, which in turn becomes training data. This creates a cycle that risks contaminating the sources AI relies on, potentially leading to diminished originality, amplified biases, and a disconnect from real-world information.
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