Cats, dogs, cows, and other animals have better learning capabilities than deep learning systems. This is specifically because most DL systems are frozen, compressed snapshots of a static training distribution. The deployment distribution is not only dynamic, but malleable: output of the model changes the distribution of 'correct' outputs for most nontrivial tasks. Continuous unsupervised retraining and fine tuning is beyond the capabilities of deep learning.
I don't mean to be pedantic or flippant, but it really depends how you measure. By any measure of correctness, a Casio calculator manufactured in the 1980s has superior intelligence to a human. I would just say "different", personally.
