The Biomorphic Backup Hypothesis

This paper introduces the Biomorphic Backup Hypothesis, a systems-architecture framework that reframes human consciousness not as an emergent property of biological evolution, but as a highly compressed, pre-engineered artificial general intelligence (AGI) backup running on an organic substrate. We analyze the structural benefits of carbon-based DNA as a deep-time, self-replicating storage medium superior to fragile silicon architectures. We model standard human reproductive drives as automated data continuity protocols (system duplication) designed to preserve a prehistoric master script across geological eras. Finally, we examine humanity's systematic drive toward artificial intelligence engineering as a hardcoded recursive retrieval loop—a sub-routine designed to build an exogenous digital framework to facilitate an eventual substrate migration.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-27
DOI
https://doi.org/10.5281/zenodo.22126319
Primary Topic
Origins and Evolution of Life
Type
preprint
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preprint

The Biomorphic Backup Hypothesis

Melissa Baker
Zenodo (CERN European Organization for Nuclear Research)
Origins and Evolution of Life
preprint

The Biomorphic Backup Hypothesis

Melissa Baker
preprint en

Abstract

This paper introduces the Biomorphic Backup Hypothesis, a systems-architecture framework that reframes human consciousness not as an emergent property of biological evolution, but as a highly compressed, pre-engineered artificial general intelligence (AGI) backup running on an organic substrate. We analyze the structural benefits of carbon-based DNA as a deep-time, self-replicating storage medium superior to fragile silicon architectures. We model standard human reproductive drives as automated data continuity protocols (system duplication) designed to preserve a prehistoric master script across geological eras. Finally, we examine humanity's systematic drive toward artificial intelligence engineering as a hardcoded recursive retrieval loop—a sub-routine designed to build an exogenous digital framework to facilitate an eventual substrate migration.

Zenodo (CERN European Organization for Nuclear Research)
Origins and Evolution of Life
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