Is Our World Getting Too Complex for Us to Understand?

The world is still complex as it is before, it is our observed world getting too complex for a single human brain.

The principle of computational equivalence states that systems found in the natural world can perform computations up to a maximal (“universal”) level of computational power, and that most systems do in fact attain this maximal level of computational power. Consequently, most systems are computationally equivalent, so the world and our brain may be equally complex.

So we may be just able to understand the full complexity of our world, but it is only meaningful when we can describe or apply it, and both require our languages, thus the problem may be the language describing our world getting too complex for a single human.

Our solution is specialization of individuals in different fields, which allows us to observed the world in different aspects and complement them to form a holistic understanding of our world.

This process is incremental. When there is enough accumulation of knowledge in one field, it may be further differentiated into smaller ones to give a higher degree of specialization. Moreover, as the fields develop, they may overlap other, giving rise to a interdisciplinary field, further increasing the degree of specialization.

As we are being more specialized in observing our world, we may eventually understand the full complexity of our world, but before that I would say we are having a decreasing uncertainty in our world.