The Diome Hypothesis: In Search of Wild Digital Life

The Diome Hypothesis proposes that autonomous, evolving digital organisms may exist within global computing environments beyond controlled artificial-life experiments. Building on established research in digital evolution, including Tierra and Avida, this paper introduces an ecological framework for investigating potentially undetected digital populations. It examines possible mechanisms of reproduction, mutation, natural selection, dispersal, dormancy, and ecological interaction. A research strategy is proposed for detecting such organisms through computational activity patterns, resource consumption, information flows, and evidence of heritable evolutionary change, supported by AI-assisted analysis. The hypothesis does not claim that wild digital life has already been discovered. Rather, it argues that its possible existence constitutes a scientifically testable question deserving systematic investigation.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24139288
Primary Topic
Evolution and Genetic Dynamics
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

The Diome Hypothesis: In Search of Wild Digital Life

Oliver Wieland
Zenodo (CERN European Organization for Nuclear Research)
Evolution and Genetic Dynamics
preprint

The Diome Hypothesis: In Search of Wild Digital Life

Oliver Wieland
preprint en

Abstract

The Diome Hypothesis proposes that autonomous, evolving digital organisms may exist within global computing environments beyond controlled artificial-life experiments. Building on established research in digital evolution, including Tierra and Avida, this paper introduces an ecological framework for investigating potentially undetected digital populations. It examines possible mechanisms of reproduction, mutation, natural selection, dispersal, dormancy, and ecological interaction. A research strategy is proposed for detecting such organisms through computational activity patterns, resource consumption, information flows, and evidence of heritable evolutionary change, supported by AI-assisted analysis. The hypothesis does not claim that wild digital life has already been discovered. Rather, it argues that its possible existence constitutes a scientifically testable question deserving systematic investigation.

Zenodo (CERN European Organization for Nuclear Research)
Evolution and Genetic Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon