If reality could be copied, the mapping or simulation of a neural network digitally is possible. This scheme has some nagging problems. Chief among them being the simulated nature of neural network, as the possibility of reality vis-a-vis natural neural network is susceptible to mismatch thus leading to what could be termed non-reductionist essentialism. The other option that could aid better apprehensibility of hyperrealism and simulation in terms of neural networks is from Bhaskar Roy’s idea of critical realism. This aspect differs significantly from Baudrillard’s in that the latter takes reality as potentially open to copying, whereas the former delves into reality as a generative mechanism. According to Bhaskar’s take, reality is not something that can be copied, but something that contingently generates the actual.