Autonomy Without a Final Authority. Self-Developing Artificial Systems, Coherence, and the Prospect of Superintelligence

Abstract This paper proposes a reference architecture for an artificial system whose target state is the capacity to act without lasting human leadership: it observes, sets goals, organizes agents, operates infrastructure, earns resources, and improves its own improvement procedures. Human control is not built in as a final authority; where a function cannot currently be realized without humans, it is recorded as an open dependency. The analysis separates five domains of claims (technical, empirical, legal, social, normative) and labels the status of its statements (definition, hypothesis, argument, finding). Its main result is a shift of the basic question: the coherence of a largely self-modifying system cannot be guaranteed by internal rules alone, because those rules are themselves subject to modification. As a working hypothesis, two ideal-typical sources of long-term coherence are examined: internal self-binding through a modeled center with loss representation, and external stabilization of recognizable behavioral patterns by a selection environment. Whether this distinction is exhaustive, and when mixed forms arise, remains open. Three operationalization attempts state which findings would falsify the paper’s hypotheses. Author: Dirk de Pol, Chairman of the Board of the Omegacene Association, Berlin.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-07
DOI
https://doi.org/10.5281/zenodo.24043571
Primary Topic
Ethics and Social Impacts of AI
Type
preprint
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preprint

Autonomy Without a Final Authority. Self-Developing Artificial Systems, Coherence, and the Prospect of Superintelligence

Dirk de Pol
2 links
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
preprint

Autonomy Without a Final Authority. Self-Developing Artificial Systems, Coherence, and the Prospect of Superintelligence

Dirk de Pol
preprint en

Abstract

Abstract This paper proposes a reference architecture for an artificial system whose target state is the capacity to act without lasting human leadership: it observes, sets goals, organizes agents, operates infrastructure, earns resources, and improves its own improvement procedures. Human control is not built in as a final authority; where a function cannot currently be realized without humans, it is recorded as an open dependency. The analysis separates five domains of claims (technical, empirical, legal, social, normative) and labels the status of its statements (definition, hypothesis, argument, finding). Its main result is a shift of the basic question: the coherence of a largely self-modifying system cannot be guaranteed by internal rules alone, because those rules are themselves subject to modification. As a working hypothesis, two ideal-typical sources of long-term coherence are examined: internal self-binding through a modeled center with loss representation, and external stabilization of recognizable behavioral patterns by a selection environment. Whether this distinction is exhaustive, and when mixed forms arise, remains open. Three operationalization attempts state which findings would falsify the paper’s hypotheses. Author: Dirk de Pol, Chairman of the Board of the Omegacene Association, Berlin.

Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
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