One thing is that even given access to the model weights and the code behind the API, you could not tell if the model was password-locked, whereas you would see the hardcoded verifier. Thus if a lab wanted to hide capabilities they could delete the training data and you would have no way of knowing.
One thing is that even given access to the model weights and the code behind the API, you could not tell if the model was password-locked, whereas you would see the hardcoded verifier. Thus if a lab wanted to hide capabilities they could delete the training data and you would have no way of knowing.