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Artificial Intelligence Singularity and Gravitational Singularity: A Theoretical Comparison Under Einstein’s General Relativity

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Abstract:

The domination of cyberspace technologies in inter-human communications is obvious because of their ‎ultra-rapidness and enormous data capacity. Human-intensive ‎use of cyberspace increased the magnitude of streamed data through its nodes, created by two sources: human users and AI. While humans can control their generated data, ‎it proves impossible to control AI due to its super intelligence along with their self-developing ‎abilities, enabling it to produce unlimited volumes of data. It is known that cyberspace depends on physical infrastructure, which is inherently limited. Despite investments to expand capacity, overloading this infrastructure with unlimited data creates critical functionality issues. Additionally, the presence of uncontrollable AI elements leads to unpredictable outcomes. Ultimately, this results in AI dominating cyberspace, a phenomenon known as cyber singularity.

The ultimate consequences of AI cyber singularity motivated the study to recall a similar phenomenon in astrophysics: gravitational singularity. Using general relativity theory, the ‎research analyses the dilemma of data overload in cyberspace and its effects, drawing parallels ‎between outer space and cyberspace‎. It aims to illustrate AI's acquisition of cyber singularity according to astrophysics laws on gravitational singularity, providing an innovative perspective for scientists and scholars studying cyberspace.


© The Author(s) 2025. Published by RITHA Publishing. This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited maintaining attribution to the author(s) and the title of the work, journal citation and URL DOI.


How to cite:

Abdelkarim, Y. A. (2025). Artificial intelligence singularity and gravitational singularity: A theoretical comparison under Einstein’s general relativity. Journal of Research, Innovation and Technologies, Volume IV, 1(7), 39-52. https://doi.org/10.57017/jorit.v4.1(7).03

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