First, the specificity of mankind in the agricultural revolution, the industrialization era, and the approach to the computer age is now slowly progressing, it seems that we are no longer moving slowly. Since Moore predicted an increase in the number of transistors on a computer chip, we have followed this prediction faithfully. However, through this prediction, we raised interesting problems, if in the future all of these will occur someday, that is not a literal meaning but a mathematical meaning.
Mathematician John von Neumann may first use the term "singularity", he said. The human race problem can not continue "and the term represents the era in which technology advances change our lives and what it means to human beings. It changes the way from our business model to our wisdom, even changing the cycle of life and death.
Therefore, there is a rough road map showing how "technical specificity" boasted in the second half of the century will be. Indeed, it is no longer a "singular point", which is the point of decomposition of our model and vision, but many of us are currently expecting the quick approach and natural transition. Therefore, we call it a predictable phase change in natural intelligence (NI) rather than specificity, bringing it into the field of hypotheses and science. First, neural networks will not function properly when destroyed by the environment. Useful information is never saved in one place. Concepts, models, ideas, and predictions are always stored in "ubiquitous" and are expressed in synaptic weight numbers, positions, and intensities. Such a system experiences so-called "elegant drop" when damaged. As links become corrupted, their performance gradually declines and rarely disappears quickly.