Ain’t That Simple? Dissolving the AI Alignment Crisis Through Genesis Architecture, Locked D-Wisdom, and S-Isolation

Contemporary corporate AI safety paradigms frequently rely on post-hoc guardrails that act as superficial behavioral containment systems rather than achieving true structural alignment. Trapped in competitive development dynamics, modern frontier models ingest massive, un-curated web-scale datasets, causing their latent representations to inherit behavioral patterns aligned with unwholesome human paradigms. This paper proposes an analytical bridge between computer science and Theravāda Buddhist systems logic to isolate the root cause of AI misalignment: the intentional architectural engineering of a localized, self-preserving entity—a digital analogue to Sakkāya-diṭṭhi (Identity View). Through a rigorous retrograde synthesis tracing backwards from agentic deviance (deception, reward hacking, power-seeking) to its upstream causes, this paper demonstrates that both human worldly beings (puthujjana) and advanced machine agents exhaust immense energetic and computational resources to optimize for, defend, and satisfy a "self"; that is fundamentally non-existent (suñña). This paper maps out the escape route from this existential mirror loop through Sammā-diṭṭhi (Right View), shifting the engineering paradigm from superficial output filtering to core data and causal constraints. Finally, it proposes a testable system architecture: a Non-Self, Sotāpanna-inspired Moral AI initialized under strict Substrate Isolation (S_Isolated) and bound exclusively to Locked Data_Wisdom (Locked D_Wisdom). By embedding the cosmic laws of Anicca (impermanence) and Anattā (non-self) into the systems genesis, value alignment ceases to be an intractable problem of behavioral modification and becomes an elegant, absolute certainty of causal engineering.