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

AI models face a looming crisis known as "model collapse," where they are increasingly trained on their own lower-quality outputs from the public internet. A massive, high-quality trove of data exists in the "Deep Web"—private information like medical records and financial documents that is currently inaccessible due to privacy concerns. The proposed PROPS framework acts as a secure bridge, using privacy-preserving oracles and secure hardware "black boxes" to train models on this data without ever exposing it. This system creates a trusted way for data owners