this post was submitted on 25 May 2026
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[–] Grandwolf319@sh.itjust.works 18 points 17 hours ago (1 children)

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.

It’s like already having the answer

[–] chunes@lemmy.world -5 points 16 hours ago (1 children)

The point is that it only needs to comprise a very small part of the model.

[–] Grandwolf319@sh.itjust.works 9 points 15 hours ago

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