Cognitive Drift Series: Core Models of Compression, Fidelity, and Drift
A collection of core documents from the Cognitive Drift series within the Reality Drift framework.
These papers outline the structural dynamics of cognition under modern information conditions, focusing on how compression, recursion, and weakening constraints produce drift across individuals, systems, and AI.
Together, they describe a shared pattern: systems remain coherent and operational while gradually losing alignment with underlying reality.
This series captures the transition from early conceptual models to a more formalized framework of cognition, meaning, and constraint.
Documents — Part I: Foundational Models of Cognitive Drift
- Cognitive Drift: Core Model (PDF)
Foundational model of cognition as a loop of compression, recursion, fidelity, and judgment, and how drift emerges as a structural limit. - The Drift Principle: Compression and Fidelity (CD 2.1) (PDF)
Defines the core mechanism where compression scales faster than semantic fidelity, producing coherent but ungrounded representations. - Loss of Stop Conditions (CD 2.2) (PDF)
Explains how drift emerges when constraint weakens and systems continue without enforced closure or correction. - Runaway Recursion (CD 2.3) (PDF)
Describes how reasoning persists without convergence when judgment fails to collapse possibilities into action. - The Meaning Deficit (CD 2.4) (PDF)
Examines how meaning degrades when semantic fidelity collapses under information overload and sustained compression.
Documents — Part II: Cognitive Architectures and Human–AI Co-Cognition
- Cognitive Compression Styles: How Minds Compress Reality Under Constraint (CD 3.1) (PDF)
Explores how human cognition organizes around distinct compression strategies, shaping perception, meaning, and vulnerability to cognitive drift under increasing complexity. - Porousness and Co-Cognition: Boundary Permeability in Human–AI Interaction (CD 3.2) (PDF)
Introduces cognitive porousness and examines how boundary permeability enables co-cognition with AI while maintaining stability through balanced integration. - The 5%: High-Compression Cognition and the Emergence of Co-Cognition (CD 3.3) (PDF)
Describes a subset of high-compression minds whose recursive thinking aligns naturally with AI, reducing translation loss and enhancing the legibility of complex ideas. - How AI Mirrors the Mind: Compression, Prediction, and the Structure of Intelligence (CD 4.1) (PDF)
Analyzes how artificial intelligence reveals the architecture of human cognition through compression, prediction, recursion, and semantic fidelity. - Compression and Co-Cognition: Distributed Cognition and the Emergence of Shared Predictive Systems (CD 4.2) (PDF)
Examines how human and machine intelligence form shared predictive loops, externalizing cognition and shaping perception, culture, and synthetic realness.
Related Items: Cognitive Drift Canonical Glossary
This work originated as part of the Cognitive Drift archive (2024–2025) and is now integrated into the broader Reality Drift framework. This site functions as a lightweight archive and reference layer. Primary essays and long-form writing are distributed across external platforms:
Substack • GitHub • DOI • Slideshare
Part of Reality Drift Framework by A. Jacobs (2023-2026)