Reality Drift — Canonical Overview and FAQ (2023–2026)

A canonical entry point into the Reality Drift framework.

This page explains how systems can remain functional while gradually losing alignment with the reality they are meant to represent.

Rather than treating modern digital experiences as isolated issues, this framework explains the structural dynamics behind them. Systems optimize measurable representations such as metrics, models, and narratives, which over time replace the realities they are meant to reflect.

The framework introduces core concepts including Reality Drift, the Representation Stack, Proxy Optimization, Semantic Fidelity, and Synthetic Realness, and outlines how these dynamics appear across AI systems, media, institutions, and decision-making.

Download: Canonical Reality Drift Overview and FAQ (PDF)

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Explore The Framework

Core Framework

• Reality Drift Canonical Definition
• Mechanics and Taxonomy (PDF)
• Drift/Fidelity Index (PDF)

Visual & Conceptual

• Visual Reference Archive
• Canonical Glossary

Applications & Expansion

• Reality Drift Explained
• Recognition Guides
• Connection Papers
• The Age of Drift (Archive)

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Note: This archive collects foundational definitions, frameworks, papers, and reference materials related to the Reality Drift framework.

Substack • GitHub

Part of Reality Drift Framework by A. Jacobs (2023-2026)