The Reality Drift Library is the central public repository for the Reality Drift framework and its current canonical archive.
The framework examines a recurring structural pattern across institutions, AI systems, media environments, organizations, and cognition. Systems built to track, organize, or optimize reality often become increasingly dependent on internal representations of that reality. These representations make scale possible, but over time they can begin to substitute for the realities they were meant to reflect.
As modern systems become increasingly mediated, optimized, and abstracted, the ability to recognize drift becomes a practical problem across governance, AI, media, and everyday life.
When this happens, systems often remain coherent. They continue functioning, producing outputs, and sometimes even improving by their own internal measures. Yet their relationship to external constraint weakens. Metrics replace feedback, proxies replace outcomes, symbols replace reference, and optimization replaces judgment. What emerges is not immediate collapse, but a gradual loss of alignment.
This condition is what the framework calls Reality Drift.
Most systems do not break. They drift.
This repository serves as the main archive for the Reality Drift framework. It brings together canonical definitions, formal papers, working notes, visual reference guides, applied models, and historical source materials developed across multiple years of work.
Some materials represent stable conceptual formulations. Others preserve earlier developmental stages and exploratory drafts. Together they form both an active framework library and a historical record of the project’s evolution.
The goal of the repository is to present a broader conceptual architecture for understanding how drift emerges across systems, cognition, symbolic environments, and modern digital life.
Ongoing essays, shorter conceptual explorations, and public-facing applications of the framework are published through the Reality Drift Substack.
Reality Drift Substack
Read on Substack
00_Provenance
01_Canonical_Frameworks
02_Essays
03_Research_and_Papers
04_Representational_Media
05_Visual_Reference_Guides
06_Age_of_Drift
07_Applied_Frameworks
08_Origins_2022-2024
10_Framework_Entry_Points
11_Conceptual_Echoes
Start_Here
The repository is organized in layers. Some sections establish provenance and canonical structure, while others preserve essays, applied work, visual materials, and earlier source documents. The archive reflects both the conceptual architecture of the framework and the historical path through which it developed.
If you are new to the framework, begin here:
For broader framework orientation:
For canonical definitions:
For research papers and mechanism notes:
For visual models and conceptual diagrams:
For applied examples and domain-specific extensions:
For historical development and earlier formulations:
The Reality Drift framework is organized around a set of related concepts that describe different aspects of drift across systems, cognition, and symbolic environments.
These include:
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Reality Drift
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Drift Principle
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Optimization Trap
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Synthetic Realness
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Filter Fatigue
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Constraint Collapse
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Semantic Fidelity
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Cognitive Drift
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Recursive Compression
While distinct, these concepts are structurally related. Together they describe how systems scale through abstraction while gradually weakening the corrective relationship between representation and reality.
The Reality Drift framework is applied across multiple domains because the structural conditions that produce drift are not confined to any single system. In institutions and organizations, it helps describe how procedures, incentives, and internal metrics gradually displace original mission or purpose. In AI systems, it provides a way to analyze how model outputs, retrieval systems, benchmarks, and compressed representations can preserve coherence while weakening grounding or semantic fidelity. In media environments, it examines how platforms optimize engagement, relevance, and authenticity until the environment itself becomes increasingly synthetic. In cognition, it describes how high-noise informational conditions alter attention, judgment, and meaning-making through recursive filtering, overload, and compression. While these domains differ in form, the underlying dynamics often repeat, making drift a broader structural pattern rather than an isolated domain-specific problem.
Reality Drift is a descriptive framework. It is not a political theory, anti-technology position, or institutional critique by default, though it may be applied across those domains.
Its purpose is structural analysis. Identifying where systems preserve operational coherence while gradually losing corrective contact with reality.
This repository represents Version 3 of the Reality Drift Library and contains both canonical and archival material.
Canonical materials represent the current framework and its most stable conceptual formulations.
Archival materials preserve earlier drafts, exploratory formulations, and developmental source material.
Selected materials are mirrored across public archives for preservation, redundancy, and citation stability, including Internet Archive, OSF, Zenodo, and Figshare.
The broader Reality Drift project includes several related repositories focused on specialized conceptual layers and supporting domains:
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Semantic Fidelity Lab
View Repository -
Cognitive Drift Institute
View Repository
These repositories extend the broader framework into narrower areas of analysis while remaining structurally connected to the central Reality Drift archive.
If referencing this repository, cite:
Jacobs, A. (2026). Reality Drift Library
GitHub:
View Repository
This repository is distributed under the Creative Commons CC BY-NC-SA 4.0 license.
Materials may be shared and adapted with attribution for non-commercial use under the same terms.
Reality Drift Library
Authored and maintained by A. Jacobs
Research Archive (2023–2026)