My "Devil Twin" or my discovery of the concept of mirror twin (mirror DNA)
Year: 2024
Type: article
Abstract: " All you have to do is take the raw data file from a DNA test, upload it to Gemini Advanced, for example, and input a prompt asking it to change all nucleotides. All As into G, all Gs into A, all Ts in C, all Cs in T ((this is just one example among countless possibilities). At this stage, the AI performs the modifications and generates a new file with the requested changes in less than thirty seconds. It’s then possible to retrieve this file, create a new account with a DNA testing provider and upload the new file. This will create an artificial genetic profile. As a reminder, my goal with this file was simply to generate a 'mirror twin' of myself, and thus see what it might look like. What I had not anticipated was that this virtual version of myself, in mirror form, actually existed and that this 'mirror twin' had real nephews and half-brothers. One with 91 shared segments for approx. 2000 cM. When I discovered the vulnerability and its potential security and ethical implications, I immediately contacted Google's Bug Bounty program, as well as the companies involved: Ancestry.com, 23andMe, MyHeritage, and MyLivingDNA. It’s now possible to create an UNLIMITED number of versions and profiles from a single DNA data file and upload them to certain sites. This opens the door to numerous frauds! While I am not an expert in computer security, I asked the companies concerned to fix the vulnerability in their files and strengthen their security. To date, no changes have been made." Complete Research Corpus Kayser-Cuny, V. (2025). Meta-Genesis. Towards a Biology without Matter, based on Pure Logic. Multi-Scale Numerical Invariants and Fractal Properties of the Genetic Code (Abstract and compilation). Zenodo. https://zenodo.org/records/21002033 Kayser-Cuny, V. (2025). (Part 1) Multi-Scale Numerical Invariants and Fractal Properties of the Genetic Code: A Combinatorial and Atomic Analysis. Zenodo. https://zenodo.org/records/21002648 Kayser-Cuny, V. (2025). (Part 2) Multiscale Numerical Invariants and Fractal Properties of the Genetic Code: Internal Constraints and Multiscale Packet Distributions Revealing a Universal Grammar. Zenodo. https://doi.org/10.5281/zenodo.17272500 Kayser-Cuny, V. (2025). (Part IV-part 3) Multi-Scale Numerical Invariants and Fractal Properties of the Genetic Code: A Unified Theory of Biological Information, from Stars to Codons. Zenodo. https://doi.org/10.5281/zenodo.17370443 Kayser-Cuny, V. (2025). (Part VI-part 3) Multi-Scale Numerical Invariants and Fractal Properties of the Genetic Code: Data Availability [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17306204 Kayser-Cuny, V. (2025). Data Availability Part 2 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17368936 Kayser-Cuny, V. (2025). (Part III) The Mirror-Twin Paradox: A New Approach to DNA Understanding the Implications of an Inverted Genome and Its Applications in Molecular Genetics, Neuroscience, and Medicine. Zenodo. https://doi.org/10.5281/zenodo.15390489 Kayser-Cuny, V. (2025). Meta-Genesis. Towards a Biology Without Matter. From Boolean Algebra to the Expansion of Life: Binary Arithmetic and Multi-Dimensional Projections of the Genetic Code. Zenodo. https://doi.org/10.5281/zenodo.17494922 A Deterministic Method for the Generation, Simulation, and Assembly of De Novo Proteins Based on Numerical Invariants Intrinsic to the Genetic Code: Part 1. Kayser-Cuny, V. (2026). The Kayser–Cuny Mathematical Tables in Molecular and Synthetic Biology: A Molecular Information Framework (2026th ed.). MTMVP. https://doi.org/10.5281/zenodo.21001829 ISBN: 9782489162035 Part 2. Kayser-Cuny, V. (2026). PROOF OF CONCEPT Multi-scale Numerical Invariants and Fractal Properties of the Genetic Code: A Combinatorial and Atomic Analysis using the Erythrocyte (Red Blood Cell) as an Ideal Mathematical Model for AI-Based Proteomic Analysis. Zenodo. https://doi.org/10.5281/zenodo.21003215
Author: Kayser-Cuny, Victoria
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6968024994
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