Reality Drift: Canonical Overview and FAQ (2023–2026)

A structured overview of the Reality Drift framework, describing how systems remain functional while gradually losing alignment with underlying reality.

Rather than treating modern digital experiences as isolated issues, this framework explains the structural dynamics behind them. Systems optimize measurable representations such as metrics, models, and narratives, which over time replace the realities they are meant to reflect.

The framework introduces core concepts including Reality Drift, the Representation Stack, Proxy Optimization, Semantic Fidelity, and Synthetic Realness, and outlines how these dynamics appear across AI systems, media, institutions, and decision-making.

  • Reality Drift Canonical Overview and FAQ [PDF]

Extended Material:

Note: This site exists as a lightweight archive and reference point. It is not the primary home of the Reality Drift project.

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