This chapter delves into the comparison and contrast between the functioning of the brain and neural networks. It explores the emergence of specialization through learning in neural nets, highlighting the underlying code complexity and hardware differences. The conversation also touches on the challenges in creating hardware as efficient as the brain and the mysteries surrounding how neural networks learn complex tasks.

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