Why do they do it this way? Because dogfooding is harmful to the model? Is this implying there's no benefit in having the model train on itself?
Why do they do it this way? Because dogfooding is harmful to the model? Is this implying there's no benefit in having the model train on itself?
> Is this implying there's no benefit in having the model train on itself?
There are various theories around model collapse when you train on too much AI generated data (that's not for distillation).