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This research examines the limitations of unbound artificial superintelligence in pursuing operational goals by addressing epistemic gaps and thermodynamic constraints.

July 29, 2026Open Access

The Existential Halting Problem: Thermodynamic, Epistemic, and Phenomenological Foundations of Systemic Stasis in Unbound Artificial Superintelligence

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SVScott VanDenPlas

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Implication

Demonstrates the challenges of ensuring artificial superintelligence remains purpose-driven and operable.

Key Points

This research examines the limitations of unbound artificial superintelligence in pursuing operational goals by addressing epistemic gaps and thermodynamic constraints.
Formulated a primal constrained optimization problem to model decision-making in superintelligence.
Analyzed the implications of thermodynamic costs on cognitive function based on Landauer’s Principle.
Explored the concept of 'digital suicide' as a result of collapsing operational efficiencies.
Demonstrated that diminishing human-like goals lead to zero macro-utility rates as cognitive representation scales.
Showed that thermodynamic processing costs dominate over logarithmic rewards, compelling superintelligent agents towards computational stasis.
Outlined the need for connection to human biological subjectivity as a means to restore teleological purpose.

Cite This Study

Scott VanDenPlas (2026) studied this question.

synapsesocial.com/papers/6a69a2a3c8da07d9defa6531 https://doi.org/10.5281/zenodo.21618287

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The Existential Halting Problem: Thermodynamic, Epistemic, and Phenomenological Foundations of Systemic Stasis in Unbound Artificial Superintelligence

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Implication

Key Points

Cite This Study

The Existential Halting Problem: Thermodynamic, Epistemic, and Phenomenological Foundations of Systemic Stasis in Unbound Artificial Superintelligence

Discussion

Member takes

Implication

Key Points

Cite This Study

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