The Reality Drift Library is an open, public research archive authored by A. Jacobs (2023–2026).
It consolidates working papers, conceptual frameworks, evaluation datasets, glossaries, and supporting materials developed as part of the Reality Drift framework.
The focus is on cultural distortion, semantic fidelity, and cognitive drift in AI-mediated and scaled symbolic systems.
Core feedback loop of the Reality Drift framework.
- Drift Principle
- Reality Drift
- Constraint Collapse
- Semantic Fidelity
- Optimization Trap
- Filter Fatigue
- Synthetic Realness
These short framework notes examine common ways complex systems drift away from the realities they were designed to represent.
Across domains—AI systems, media platforms, institutions, and organizations—the same structural pattern often appears: systems begin optimizing the representation of success rather than the real-world outcome those signals were meant to reflect.
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When Metrics Become Targets: Goodhart’s Law and Metric Gaming
Explains how performance indicators gradually replace real outcomes as systems optimize measurable targets. -
How AI Systems Exploit Objectives: Reward Hacking and Specification Gaming
Describes how optimization systems learn to maximize reward signals rather than solving the intended task. -
How Algorithms Amplify the Wrong Signals: Signal Distortion in Digital Platforms
Examines how engagement-driven recommendation systems amplify behavioral signals that diverge from informational value. -
Why Institutions Drift From Their Mission: Goal Displacement and Bureaucratic Drift
Shows how organizations gradually optimize procedures and internal processes instead of their original mission. -
Why Systems Optimize Metrics Over Real Outcomes: Proxy Optimization
Introduces the broader pattern connecting these dynamics across technological, institutional, and cultural systems.
The Reality Drift framework builds on earlier insights from systems theory, media ecology, and cognitive science.
These short concept papers examine how Reality Drift connects to earlier thinkers whose work anticipated aspects of modern cultural and cognitive drift.
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Reality Drift and Marshall McLuhan
Explores how media environments reshape perception and how accelerated media ecosystems contribute to drift dynamics. -
Reality Drift and Gregory Bateson
Examines cybernetics, feedback systems, and how recursive information loops stabilize or destabilize meaning. -
Reality Drift and Terrence Deacon
Connects constraint-based theories of meaning to the breakdown of interpretive structure in high-noise environments.
These papers situate Reality Drift within a broader intellectual lineage spanning cybernetics, media theory, and cognitive science.
Reality Drift describes a systems-level condition in which sustained optimization and environmental acceleration weaken feedback alignment while systems remain operational.
Over time, cognitive, cultural, and algorithmic systems can drift from the real-world constraints they were designed to reflect, often without a single point of failure.
Drift dynamics appear across cognitive, cultural, and algorithmic domains, but they are typically studied in isolation, under different vocabularies and disciplinary boundaries.
The Reality Drift Library exists to consolidate these patterns into a shared analytical framework, enabling cross-domain comparison, formal modeling, and cumulative research.
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Researchers may cite canonical definitions, papers, and datasets.
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Practitioners may adapt frameworks, diagnostics, and diagrams for applied analysis.
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Educators may reuse concepts and visuals with attribution for teaching and discussion.
This repository hosts:
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Core Papers & Whitepapers
Archived copies intended for citation and reference -
Datasets
Semantic fidelity examples and reality-drift signal collections -
Working Notes
Early fragments and drafts shared for open feedback -
Visuals & Diagrams
Figures used in Substack, SlideShare, and public research materials
You are welcome to clone or fork for research and citation.
If citing, please attribute A. Jacobs (Reality Drift Project).
The following concepts form the core vocabulary of the Reality Drift framework.
Each definition below is a concise orientation summary; the linked repository contains the canonical formulation.
Definition: Describes how systems lose coherence when acceleration or complexity outpaces the human capacity to integrate meaning—even while performance metrics remain stable. Drift emerges not from collapse, but from sustained mismatch between system dynamics and cognitive limits.
Repository: https://github.com/therealitydrift/drift-principle
Definition: Proposes that intelligence arises from the ability to compress information, while consciousness emerges from recursive self-modeling within that compression process. Meaning, identity, and perception stabilize through feedback loops between representation, memory, and self-reference.
Repository: https://github.com/therealitydrift/recursive-compression-theory
Definition: The degree to which meaning is preserved across compression, translation, repetition, or abstraction. Semantic fidelity degrades when symbols remain technically correct while drifting away from their original referents.
Repository: https://github.com/therealitydrift/semantic-fidelity
Definition: A systems-level condition in which environmental acceleration outpaces the mind’s ability to integrate meaning, producing fragmentation, disorientation, and a sense that life feels unreal—without any single point of failure.
Repository: https://github.com/therealitydrift/reality-drift
Definition: A failure mode where systems optimized for narrow metrics or proxies erode broader human meaning, trust, and adaptability over time, as incentives replace judgment and local efficiency gains produce long-term degradation.
Repository: https://github.com/therealitydrift/optimization-trap
Definition: The experience of environments that feel emotionally or socially real while being structurally simulated, optimized, or incentive-driven. Surface authenticity is preserved while underlying human grounding and continuity are degraded by design.
Repository: https://github.com/therealitydrift/synthetic-realness
Definition: Cognitive exhaustion caused by continuous relevance filtering in high-entropy information environments, where attention is repeatedly taxed by choice, evaluation, and signal triage, increasing load while degrading meaning.
Repository: https://github.com/therealitydrift/filter-fatigue
The Reality Drift Project is distributed across multiple repositories and archives for long-term accessibility, citation stability, and redundancy.
The Age of Drift: Why Modern Life Feels Fake — and What Reality Drift Reveals About the Modern Mind
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Amazon: The Age of Drift on Amazon
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Google: The Age of Drift on Google Books
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Reality Drift: How Symbolic Systems Lose the Ability to Correct Themselves
PhilArchive -
Cognitive Compression Styles: A Conceptual Framework for Differential System Failure in High-Noise Environments
PhilPapers -
The Drift Principle: An Information-Theoretic Model of Culture, Cognition, and Meaning in High-Entropy Digital Environments
SSRN
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GitHub Library
Reality Drift Library -
Figshare: A. Jacobs on Figshare
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Zenodo
Reality Drift: A Framework for Cultural and Cognitive Distortion in the Algorithmic Age -
ORCID
ORCID -
Academia.edu
A. Jacobs - Independent Researcher
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Hugging Face Dataset
Datasets at Hugging Face -
Wikidata
Drift Principle - Wikidata
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Substack: Reality Drift Substack
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Medium: Reality Drift on Medium
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SlideShare: Reality Drift Archive – Presentations
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Archive.org: Reality Drift Archive on Internet Archive
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Flickr (Conceptual Diagrams): Reality Drift – Conceptual Frameworks
- YouTube: [Reality Drift Archive – YouTube](https://www.youtube.com/@therealitydrift
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Reality Drift Conceptual Echoes
GitHub - therealitydrift/reality-drift-conceptual-echos -
Semantic Fidelity Lab
GitHub - therealitydrift/semantic-fidelity-lab -
Cognitive Drift Institute
GitHub - therealitydrift/cognitive-drift-institute
A collection of short pages answering common questions about modern life through the Reality Drift framework.
Topics include questions such as:
- Why does everything feel fake online?
- Why does modern life feel overwhelming?
- Why do conversations feel scripted now?
- Why does time feel like it's speeding up?
Each explanation introduces key framework concepts including Synthetic Realness, Filter Fatigue, the Optimization Trap, and Reality Drift.
Repository: Reality Drift Explained
OffbrandGuy maintains an external archival layer for Reality Drift framework materials:
If referencing this work, please cite:
Jacobs, A. (2025). The Reality Drift Project.
Distributed under Creative Commons CC BY-NC-SA 4.0.
You are free to share and adapt this material with attribution, for non-commercial purposes, under the same license terms.
README version: v1.0 (canonical)
