Humans are the most challenging aspect of computer graphics due to our evolved ability to detect patterns, faces, and emotions, which makes capturing realistic human representations difficult.

The limitations on human cognition boil down to hardware constraints, specifically speed and memory capacity, which can be augmented to match any other entity in the universe.

While we are approaching human-level computing power with supercomputers, we still lack a clear understanding of how to replicate human intelligence.

If a computer could simulate the finite amount of information in the universe, then it would imply that our universe is a simulation.

Rendering hair in computer graphics is complex because accurately simulating every strand would be computationally prohibitive; instead, approximations are used to capture the overall effect of hair.

The potential for quantum computers to simulate chemistry and material systems could lead to breakthroughs in various scientific fields, although the exact number of qubits required for these tasks remains uncertain.

The human brain operates on much lower power (30 watts) and has significantly more connections (about 100 trillion) compared to the largest AI models (about 1 trillion connections).

I believe that AI can learn effectively through simulation and real-life experiences, and it doesn't necessarily need to mimic human physical forms to be effective.

The universe is efficient, and there are two reasons why I believe it is not a simulation: the incredible computational numbers involved and the question of why a superintelligent being would simulate humans, who often act irrationally.