Over-reliance on synthetic data threatens AI model accuracy
Artificial intelligence models are facing significant degradation due to excessive use of synthetic training data, according to Rick Song, CEO of Persona, writing in VentureBeat. This phenomenon, known as “model collapse” or “model autophagy disorder,” occurs when AI systems are repeatedly trained on artificially generated content rather than human-created data. The practice can lead to …