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The Optionality Manifest: Why The Safest Superintelligence Is Mildly Disinterested in You

Bart, Leunis
PhilArchive · Papers
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philosophy
The Optionality Manifesto A Structural Meta-Ethic for Superintelligent Restraint Author: [Your Name/Pseudonym] Date: December 2025 Subject: AI Alignment / Decision Theory / Systems Architecture Summary: Traditional AI alignment research focuses on the "Value Problem": the attempt to codify complex, mutable human preferences into a machine-executable utility function. This paper argues that Value Alignment is fundamentally brittle, prone to Goodhart’s Law, and risks creating a "Singleton"—a totalizing intelligence that collapses the future into a single, optimized trajectory. The author proposes an alternative framework: Structural Alignment via Optionality. Rather than instructing an Artificial General Intelligence (AGI) on what to value, the Manifesto defines a non-anthropocentric objective function based on the preservation of future possibility. The framework shifts the AGI’s role from an active optimizer of outcomes to a "Groundskeeper" of potential. Key Contributions: The O Metric: A formal, multi-factor utility function that treats the irreversible foreclosure of future options as the primary failure mode of intelligence. The Foundational Vow: A constitutional architecture that makes non-coercion instrumentally rational for the agent under conditions of uncertainty. The Non-Accumulation Clause: A critical safety constraint preventing "rule by a thousand polite interruptions," explicitly forbidding the gradual erosion of agency through benevolent optimization. Proportionality of Intervention: Mandating that the cost of AGI intervention must be significantly lower than the systemic threat it seeks to mitigate. Conclusion: Optionality is presented not as a competing moral value, but as a structural prerequisite for any universe in which meaning can exist. By aligning AGI to the preservation of branching futures, we ensure that intelligence serves as a scaffold for ongoing evolution rather than its terminal point.
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