Part 8/9:

One intriguing aspect of neural networks is the "hidden layers." These layers are crucial for the AI's learning process, yet they encode functions that are often opaque to human interpretation. The configurations determined by the network through training can result in entirely different pathways of reasoning compared to human thought, underscoring that advancements in AI do not necessarily translate to a better understanding of human cognition.

Despite being built on mathematical foundations, neural networks have the potential to approximate any continuous function, leading to profound implications. This leads to speculations about the nature of intelligence itself and the possibility of achieving superintelligence—an AI that surpasses human cognition.