- 30-08-2024
- Artificial Intelligence
Model collapse predicts AI systems will become less intelligent due to over-reliance on AI-generated data, highlighting the need for high-quality human data.
Model collapse is a concern in the AI community, where over-reliance on AI-generated content for training future AI models could lead to a decline in quality and diversity of AI outputs. As more AI-generated data fills the internet, these systems risk becoming less accurate and more prone to errors, akin to the problem of inbreeding. This could result in models generating increasingly inaccurate or homogeneous responses, reducing the richness of cultural and social perspectives. To avoid this, the continued reliance on high-quality human-generated data is crucial, as completely filtering out AI-made content is impractical and financially demanding.