Reality Drift Briefing Series: Optimization, Trust, and Cognitive Drift
A collection of briefing notes from the Reality Drift framework examining how optimization, AI, media systems, and digital environments reshape trust, meaning, interpretation, and cognition.
The series focuses on a shared pattern: modern systems can become more measurable, polished, engaging, and coherent while becoming less grounded in direct experience and underlying reality.
Together, these briefings trace the cognitive and cultural dimensions of drift across institutions, technology, and everyday life.
Part I: Optimization and Meaning
Why Do Optimized Systems Get Worse? Optimization Trap vs. Goodhart’s Law RD-04 (PDF)
Explains how systems can improve measurable performance while drifting away from the purpose those measurements were originally meant to protect. [DOI]
Part II: AI, Authenticity, and Synthetic Realness
Why Does AI Content Feel Fake? AI Slop vs. Synthetic Realness RD-05 (PDF)
Distinguishes between obvious low-quality AI output and synthetic realness: polished, coherent, emotionally plausible content that feels authentic without being grounded in lived reality. [DOI]
Part III: Information Environments and Cognitive Exhaustion
Why Does Everything Online Feel Exhausting? Filter Fatigue vs. Information Overload RD-06 (PDF)
Examines filter fatigue as the exhaustion created by constant credibility checking, interpretation, and distrust inside modern information environments. [DOI]
Explore the Framework
Related Concepts:
- Reality Drift
- Optimization Trap
- Synthetic Realness
- Filter Fatigue
- Cognitive Drift
- The Age of Drift
- Constraint Collapse
- The Drifted Self
- Semantic Fidelity
- Recursive Compression
Explore:
Note: This site functions as a lightweight archive and reference layer for the Reality Drift framework. Primary essays and long-form writing are distributed across external platforms.
Part of Reality Drift Framework by A. Jacobs (2023-2026)