Minor Signals: Age of AI

A structured audio work examining how human behavior becomes machine-readable signal—and how that signal persists across modern AI systems.

Minor Signals: Age of AI traces the full lifecycle of data: from early-life capture, through platform ingestion and model training, to storage, governance, and deployment. Each track isolates a layer of the system, allowing the full architecture to be observed without abstraction.

This is not a narrative album.
It is a system map.

Built from publicly documented processes, regulatory frameworks, and known machine learning practices, the work focuses on structure rather than speculation.

The result is a continuous loop:

human signal → data capture → model behavior → system output → repeated at scale

The question is not whether the system exists.
The question is where individuals sit within it.