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March 15, 20260 citationsOpen Access

Distributed Biological AI Storage: Beyond Silicon — Toward Natural Substrates, Glass Memory, and Human-Integrated AI Architecture

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MTMouad Tarif

Key Points

  • This work aims to investigate innovative AI storage methods beyond conventional silicon.
  • Theoretical exploration of natural substrates and glass memory for AI.
  • Discussion of potential human integration with AI architecture.
  • Conceptual analysis of the implications of these systems.
  • Identified silicon alternatives for AI storage development.
  • Proposed integration of glass memory in AI systems.
  • Highlighted speculative concepts around human cognition and AI architecture.

Abstract

This document is a theoretical research proposal and a personal vision paper, not an experimental study or a technical report. It was written independently by the author to explore conceptual ideas at the intersection of AI storage, glass memory, and human cognition. The author does not claim to have implemented or tested any of the proposed systems. All ideas presented here are speculative and intended for academic discussion and future research exploration. The name Mouad Tarif is a pseudonym used for personal reasons. This work is the author's original intellectual creation. The author welcomes constructive feedback and academic correspondence but does not engage in commercial discussions regarding these ideas. All sources cited in this document are publicly available academic references used solely for theoretical support. No online tools, AI generators, or unverified sources were relied upon in the development of this proposal. The author confirms that this work is based exclusively on independent reasoning and verified academic literature.

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Cite This Study

Mouad Tarif (2026) studied this question.

synapsesocial.com/papers/69b5ff4f83145bc643d1badehttps://doi.org/10.5281/zenodo.19005447
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