Our key finding is that by injecting information through an external synthetic data verifier, whether a human or a better model, synthetic retraining will not cause model collapse.
Yeah if you have a source of truth then your model is basically getting trained on that.
My point was that having a verifier means your not really training a model on another model’s data, it’s basically as if you get new raw data from a non AI source
Model collapse isn’t a thing anymore. https://arxiv.org/html/2510.16657v1
LOL OK
Yeah if you have a source of truth then your model is basically getting trained on that.
It’s like already having the answer
The point is that it only needs to comprise a very small part of the model.
My point was that having a verifier means your not really training a model on another model’s data, it’s basically as if you get new raw data from a non AI source