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The Impact of Artificial Intelligence on Complexity

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  • MODIS, THEODORE

    (CERN)

Abstract

This is an update of a 22-year old study that attempted to quantify complexity (in arbitrary units) for the entire Universe in terms of 28 evolutionary milestones – breaks in historical perspective – and concluded that complexity will soon begin decreasing. AI is considered here as the latest such milestone. At the same time the data have been improved and the focus is now sharpened by studying only the recent 14 milestones, those relating to humans. The old conclusion is corroborated here with AI positioned at the beginning of the downward trend of the complexity cycle. The contribution of AI to complexity is expected to be somewhat smaller than that of the Internet. The next evolutionary milestone of comparable importance is expected around 2052 and should add less complexity than AI but more than nuclear energy/DNA/transistor.

Suggested Citation

  • Modis, Theodore, 2023. "The Impact of Artificial Intelligence on Complexity," OSF Preprints rtw9b, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:rtw9b
    DOI: 10.31219/osf.io/rtw9b
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    References listed on IDEAS

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    1. Modis, Theodore, 2022. "Links between entropy, complexity, and the technological singularity," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
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