This is laughable... Neural networks also have basically unknowable abstractions encoded in their weights. There was some work not long ago which taught an ANN to do modular arithmetic, and found that it was doing Fourier transforms with the learned weights....

Is that very different than the distillation and amplification process that happens during training? Where the neural net learns to predict in one step what initially required several steps of iterated execution.