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.

Creating realistic human faces in computer graphics requires advanced hardware and techniques, including high-resolution video capture and understanding the nuances of facial expressions and muscle movements.

The subtlety of human expressions, such as the difference between a real smile and a fake smile, is essential to capture in computer graphics, as it conveys deep emotional nuances.

Rendering objects at extreme close-up and far away distances requires generating the right amount of geometry to be indistinguishable from reality without excess.

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 realism in computer graphics comes from the collaboration of artists and technical artists who build environments, utilizing multiple technical features that work together to create stunning visuals.

Incorporating a human-in-the-loop approach is essential for assessing AI outputs and ensuring accuracy, especially in preventing hallucinations.

Achieving a human-like voice interaction requires breakthroughs in model technology and distribution, which are expected to evolve significantly in the next couple of years.

It's crucial to understand the complexities of working with AI systems, including the need to manage issues like hallucinations and model evaluations effectively.