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Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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The Cybernetic Persona and the Algorithmic Selector: Revisiting Memetic Science in the Age of Generative AI

Authors: Moritz, Elan;

The Cybernetic Persona and the Algorithmic Selector: Revisiting Memetic Science in the Age of Generative AI

Abstract

A theoretical analysis bridging the gap between the Memetics of the 1990s and the Transformer architectures of the 2020s. Over thirty years ago, the discipline of Memetics attempted to quantify cultural evolution using the tools of information theory, epidemiology, and systems dynamics. While the sociological application of memetics stalled in the early 2000s, its core mechanisms have been inadvertently validated and industrialized by the rise of Large Language Models (LLMs) and Generative AI. This paper revisits my foundational work from 1990–1995, specifically the concept of the L-meme (Linguistic meme) and the prediction of Postorganic Immortal Personas (PIPs). I demonstrate that the "George Washington Persona" I hypothesized in 1995—a predictive model reconstructed from an individual’s textual corpus—is an exact description of modern Generative Agents. By updating my original Volterra-Lotka and Zipfian formulations to account for Transformer-based architectures, I argue that while we have achieved the mechanics of Cybernetic Immortality, we have lost the humanity of selection, surrendering the evolutionary pressure of ideas to algorithmic optimization functions

Keywords

Memetics, Generative AI, Large Language Models, Cybernetic Immortality, L-meme, Algorithmic Selection, Postorganic Immortal Persona, MetaSystem Transition, Zipf's Law, Model Collapse, Principia Cybernetica, Digital Twins, Cognitive Ecolog

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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
Average
Green