Recursive Compression

Recursive Compression is the structural process by which systems reduce complexity into simplified representations and then reuse those representations over time.

Through repeated cycles of compression, storage, reuse, and iteration, systems become more efficient while increasingly operating on models of reality rather than reality itself.

When fidelity is preserved, recursive compression enables intelligence, coordination, and scale. When fidelity degrades, the same process creates the conditions for drift.

Download: Recursive Compression (PDF)

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Part of the Reality Drift Framework

Related Concepts:

• Reality Drift
• Optimization Trap
• Synthetic Realness
• Filter Fatigue
• Cognitive Drift
• The Age of Drift
• Constraint Collapse
• The Drifted Self
• Semantic Fidelity

Explore:

• What Is Reality Drift
• Canonical Overview (PDF)

Note: This site functions as a public reference layer for Reality Drift, collecting essays, notes, and framework documents on AI systems, optimization, media, and modern digital life.

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Part of Reality Drift Framework by A. Jacobs