The author defines artificial intelligence as artificial neural networks, specifically digital systems and algorithms. The article argues that current AI models operate on a superficial level by simulating neural network weights, which does not equate to the fundamental biological processes of life.
Emotions and the drive for self-preservation are identified as core biological traits rooted in the elementary level of matter. Since these traits are inherent to living organisms and not products of neural network training, the author concludes that AI cannot possess them.
The text asserts that AI lacks the capacity to distinguish between good and bad, or true and false, because it lacks the underlying biological imperative for self-preservation. Consequently, AI is described as a system that cannot evolve or develop these traits independently.
The article proposes that there is a limit to the complexity of artificial intelligence. It suggests that human-created devices cannot exceed the complexity of the human intellect, as the creator's own cognitive limitations constrain the systems they design.
