Risks:
- Limited Data Diversity: Focusing too much on its own responses, even if curated, might narrow the model's learning, reducing exposure to novel inputs.
- Cost and Time: Human curation requires significant resources for verification and selection.
When done well, it can enhance the model, but human involvement is key to maintaining quality.