Isn't that someone else's problem anyway? Someone else's model trained on your outputs is still someone else's model. > we cannot monitor how these distilled m

Isn't that someone else's problem anyway? Someone else's model trained on your outputs is still someone else's model. > we cannot monitor how these distilled models are used or prevent misuse which is fine since they are none of your (their) business.. I think the only possible concern is using their models name - making it clear it's a new model merely trained in another one should fix that.