Let me just post this as an example: https://www.youtube.com/watch?v=kBFMsY5ZP0o

A model trained to detect humans through walls using bouncing wifi signals, based on teacher-student training.

Even though all the original data has been generated by humans, I feel pretty confident in claiming it probably outperforms us at estimating body position from wifi signals.

This obviously transfers to other domains as well- there's certain types of features our brains are wired to pick up(vision, sound, proprioception), some types it is capable of learning(written language, math), and plenty it isn't though to be fair we're pretty bad at most of our learnable tasks- we read and calculate ridiculously slowly, and our ability to break that work down into chunks and memorize intermediate results is the only thing that saves us.

Compared to that, a DNN is a tabula rasa ready to learn how to extract arbitrary features independent of how our cognition of them works, without having to jump through repurposing brain networks to decipher non-native stimuli the way our brains do.