Reality Drift Concept Briefs
A collection of short slide-style briefings from the Reality Drift framework. These PDFs explain how modern systems drift through optimization, synthetic realness, filter fatigue, and weakened trust.
The series focuses on a shared pattern. Modern systems can become more measurable, polished, engaging, and coherent while becoming less grounded in direct experience, real-world purpose, and underlying reality. These briefings trace that pattern across metrics, AI content, digital environments, and everyday cognition.
Optimization Trap vs. Goodhart’s Law (PDF)
Explains how metric distortion expands into broader purpose distortion when systems reorganize around measurable proxies.
Metrics, Efficiency, and Reality Drift (PDF)
Shows how efficiency logic can make systems more measurable and polished while pushing them away from real-world purpose and feedback.
When Metrics Replace Purpose (PDF)
A one-page visual guide showing how useful metrics become proxies, then targets, until measurable improvement replaces the original purpose.
AI Slop vs. Synthetic Realness (PDF)
Distinguishes obvious low-quality AI output from polished synthetic content that feels believable without being grounded.
Why AI Content Sounds Real but Feels Fake (PDF)
Explains how synthetic realness, curated media, and algorithmic polish reshape authenticity and trust.
Why AI Writing Sounds Right But Feels Wrong (PDF)
A one-page visual guide showing why AI writing can feel fluent, coherent, and trustworthy while becoming thinner in context and grounding.
Filter Fatigue vs. Information Overload (PDF)
Shows why online exhaustion often comes from constant credibility checking, not just too much information.
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