Why You Can Never Be Me: Toward an Ontological Mechanism for the Irreplicability of the First-Person Experience

Authors

10.5281/zenodo.15470562

Abstract

This paper explores the source of the inherent uniqueness of first-person perspectives (FPPs), the subjective lens through which individuals experience the world. While much research has focused on universal aspects of consciousness, the distinctiveness of individual experience remains underexplored. It is proposed that FPPs are not merely emergent properties of the brain but may be fundamentally tied to the structure of reality itself. By examining biological, quantum, and ontological frameworks, it is argued that only an ontological basis—specifically, the unique coordinates of the spacetime continuum—can guarantee the absolute uniqueness of FPPs. Biological and quantum processes, while contributing to statistical uniqueness, cannot ensure irreplicability. The paper synthesizes ideas from neuroscience, quantum mechanics, and philosophy to present a cohesive framework, suggesting that consciousness and FPPs may emerge from the fabric of spacetime. This speculative yet structured approach aims to provide new avenues for understanding the origins of individuality in conscious experience and to inspire interdisciplinary research into the nature of consciousness. 

Keywords:

Consciousness, ontology, quantum, spacetime, uniqueness, brain

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Author Biography

George Goutos, Independent Researcher

The enigma of consciousness, or sentience, has captivated me since childhood. When it came time for college, I pursued studies in artificial intelligence, and specifically neural networks. At the time, this best addressed both my interest in computers and my fascination with consciousness. In the late 70s, AI was a fledgling discipline, quaintly called ‘Cybernetics’ at my University. I enrolled in a PhD program and spent much time simulating neurons and training networks on a computer with just 16K bytes of memory. In those early years, the objective was to teach a computer to recognize the alphanumeric characters of postal zip codes - with intent to automate letter sorting. Trained on a sample set of characters of various typesets and fonts, the simple simulation optically recognized characters - that were not part of the original training set - with more than 95% accuracy.

However, neural networks craved computing power and large memory which was lacking in those early years. Uncertain of when that power would become available, I ventured into the private sector. I worked as an engineer and IT specialist for IBM and AT&T.  By the time I retired in 2022, four decades after grad school, much had changed. Computing power had become ubiquitous and potent. AI had come of age. The more esoteric interpretations of quantum mechanics had gained credibility. And the study of consciousness had made its way into university programs.

All the important components, it seemed, had converged. So, the time was ripe for me to refocus my efforts on consciousness. The possibility that this mystery might one day be understood was unfathomable to me when I first contemplated it. But today, I’m somewhat more optimistic.

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Published

20.05.2025

How to Cite

Goutos, G. (2025). Why You Can Never Be Me: Toward an Ontological Mechanism for the Irreplicability of the First-Person Experience. Journal of NeuroPhilosophy, 4(1). https://doi.org/10.5281/zenodo.15470562