The complexity of neural networks arises from their numerous degrees of freedom and the challenge of efficiently mimicking the brain's decentralized structure. Current hardware, while powerful, still falls short of the brain's energy efficiency and computational capabilities. This leads to a growing concern among AI experts about the opacity of neural networks, as many struggle to grasp how these systems arrive at their conclusions.
