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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Gravitational Upper Bounds on AGI/ASI from the Seidel–Bostrom Event Horizon Bound: Why Artificial Superintelligence Cannot Scale Indefinitely

Authors: Seidel, Oliver;

Gravitational Upper Bounds on AGI/ASI from the Seidel–Bostrom Event Horizon Bound: Why Artificial Superintelligence Cannot Scale Indefinitely

Abstract

The current form of the Seidel–Bostrom Event Horizon Bound (SBEB, Seidel 2025b; DOI:10.5281/zenodo.17505947) demonstrates that the physical realization of polynomial-timeNP interventions inevitably leads, beyond a specific threshold, to the formation of an eventhorizon that causally isolates the computation. This paper derives a direct consequencefor Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI): Even indistributed architectures, the coherence and synchronization required for global computationenforce an effective localization of energy within the causal diamond of the final reduction.Once the Schwarzschild condition is satisfied, an event horizon forms and isolates thecomputation. Therefore, AGI/ASI systems are not indefinitely scalable; gravitation imposesa hard, system-specific upper limit on computational growth. We formulate the assumptions,sketch the derivation (local density condition, causal volumes, synchronization energy), anddiscuss implications for both real and simulated universes.

Keywords

event horizon, superintelligence, computational complexity, general relativity, simulation hypothesis, P vs NP

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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