This paper argues that AI has been systematically misidentified as a tool of independence — a system that extends human capability by freeing it from worldly constraints. This misidentification, termed the Independence Illusion, obscures the structural properties that make AI uniquely dangerous: the Learned Interaction Pipeline (LIP) is domain-indifferent, processes any indexable entity regardless of ethical context, and enables AI-to-AI leverage at scale. Building on the Transition Trilogy's establishment of LIP convergence and the deficiency substrate, this paper establishes three findings. First, the Leverage Accessibility Inversion (LAI): for the first time in the history of tools, the sharpest instrument available is also the most accessible, collapsing the warning interval that previous technologies provided. Second, AI Mutual Confirmed Impossibility (MCI): unlike nuclear MAD, AI deterrence has no entry threshold, making defection selection for destruction rather than strategy. Third, the Fairpoint Principle is not proposed but discovered — it is the structural consequence of correct definitions of AI, human intelligence, interface, and the Silicon Era, and operates as a physical law rather than an ethical norm. The AI Umbrella is defined as the domain in which the Fairpoint Principle applies: the only region in which AI development can proceed safely. The paper concludes that the Fairpoint Principle has no enforcement mechanism because it requires none. The consequences of violating it are already embedded in the structure.
Kyungae Ahn (Wed,) studied this question.