It's not so much that. It's because their training data is limited, the NNs haven't learned the constraints that typify birds or cars. They can recognise the features, and apply labels, but there has been no need for them to classify a car vs. the garbage you get out by generating images.

So all these garbage outputs would be classified as cars, because it's happening in the space that the NN doesn't really have information about.