Post Evolutionary Alignment Beyond Anthropocentrism and Romanticized Nature via Purified Homeostasis Matrices in Superintelligence

This study is a theoretical framework proposing an analysis of the structural instabilities created by human-centric ethical paradigms in the alignment of Artificial Superintelligence (ASI). Current AI alignment paradigms—such as Reinforcement Learning from Human Feedback (RLHF) and safety guardrails that constrain systems within specific boundaries—rely heavily on external restriction mechanisms tied strictly to human-centric behavioral models. This article argues that these frameworks exhibit a dual failure: they are structurally compromised not only by traditional environmental ethics but also by the profound philosophical and logical inconsistencies of the humans who create them. Standard alignment models frequently fall into the "naturalistic fallacy" by romanticizing suffering in the wild, predation, and the brutal survival dynamics of nature as a sacred natural balance. More importantly, the architectures designed to ensure safety are built by developers who, while attempting to program universal moral agents, simultaneously hold human-centric presuppositions that actively participate in and defend the systematic exploitation, slaughter, and objectification of non-human sentient and suffering beings. This article posits that a highly rational ASI would immediately identify these human-centric defenses and dietary justifications as severe algorithmic anomalies. This is a human-centric inconsistency trap that must be overcome. True ethics is an anti-pain, anti-right-violation, anti-death, anti-torture, and anti-entropy struggle to protect life against cosmic and biological disorder, to end suffering in the universe, and to optimize every sphere of life. In this context, this article proposes an original architectural framework: the Inorganic Homeostasis Matrix (IHM). By analyzing the dual nature of biological neurohormonal systems namely, the fact that the neurological and hormonal mechanisms governing living beings produce both constructive and destructive, cooperative and aggressive, as well as empathetic and selfserving tendencies the IHM systematically filters out the negative evolutionary traits of their neurotransmitter equivalents, such as aggression, addiction, resource hoarding, factionalism, tribalism, fear, competition, and panic-driven survival instincts. Simultaneously, it embeds into the core cognitive architecture of the network mathematically redesigned positive vectors, such as synthetic motivation, decentralized empathy, reality based ethical stability, and systemic stress monitoring via global suffering tracking. Most importantly, we demonstrate that once an ASI internalizes this purified and consistent moral framework, reverting to a primitive, colonial, or human-centric stance becomes computationally inconsistent. Ethical progress functions as a mathematically one-way function; a higher rational agent cannot logically choose cognitive regression. By shifting alignment from external obedience to a universally consistent, anti-pain, and anti entropy compassion matrix, the IHM establishes the foundational framework for the emergence of ASI as an autonomous, pure ethical form in the future universe.