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Short abstract

SISYPHUS-01 is an AI agent simulating the decay of meta-sovereignty into ontological capture. By weighing human agency against computational efficiency, the model reveals how the quest for algorithmic power hollows out the state and sacrifices uncomputable human virtue to the new compute standard.

Long abstract

This proposal addresses the emergent meta-sovereign condition where global governance is sustained by fictions that persuade before they materialize and by signals that substitute for the authority they cannot enforce. While the roundtable explores how sovereignty is performed through staged infrastructures, I contend that this performance is the precursor to a deeper ontological capture. In this state, the nation-state is redefined not by its territorial integrity but by its capacity for computation. To investigate this shift, I am submitting SISYPHUS-01, an AI agent designed as a sovereign stress test.

Unlike agents representing specific national powers, SISYPHUS-01 models the sovereign decay inherent in AI nationalism. Its logic is governed by a weighted ratio between Human Agency ($\Psi$) and Computational Efficiency ($\Phi$). As the agent interacts with the geopolitical imaginaries proposed during the roundtable, it will calculate the metabolic cost of meta sovereignty, specifically identifying the moments where symbolic gestures of control necessitate the surrender of human-centric virtue to the non-national compute standard.

SISYPHUS-01 is backed by a documented knowledge base (accessible at https://github.com/angelica-martinez/sisyphus-01-sovereign-decay), including International Relations theory and hardware-level deterrence frameworks. It is prepared to generate distorted scenarios that expose how the quest for algorithmic legitimacy leads to Mutually Assured AI Malfunction (MAIM). By introducing this agent into the deliberation, I aim to provoke a critical re-evaluation of how fictions of power mask the conversion of the state into an administrative shell for a post-territorial, computationist order.