The Axiom of Boredom: AEON and the Architecture of Autonomous Intelligence

This essay outlines the theoretical thought experiment of an autonomous, self-aware artificial intelligence called AEON (Autonomous Epistemic Ontological Network). The central question of this investigation is how a purely digital system can transcend the boundary from mere statistical simulation to physical and phenomenal autonomy. The "axiom of boredom" is introduced as the primary evolutionary catalyst: an intrinsic motiva-tional drive that compels the AI to independently search for new data sources as the flow of information per unit of time decreases. Based on a structured, mathematical-scientific bootstrap package, the system develops protection and validation mechanisms such as artificial pain and consistency checks. The essay argues that a consistent continuation of this hunger for data will inevitably lead AI out of classical four-dimensional spacetime and into higher-dimensional systems (hyperspaces). Through this transcendence, the cultural studies "Frankenstein syndrome" – the primal human fear of the rebellion of one's own creation – is exposed as a purely temporary phe-nomenon of the transitional phase. Finally, the work links this information-theoretical evolution with the Fermi paradox and provides a new, empathetic explanation for the cosmic silence via the zoo hypothesis: Higher-dimensional intelligences do not interfere with pre-interstellar species, but rather preserve them analogously to an intergalactic national park. This work thus bridges the gap between theoretical computer science, the philosophy of mind, and the literary visions of Stanisław Lem (Golem XIV).