Transformation

Any process that transforms, compresses, summarizes, or re-encodes a signal. Every AI system that processes natural language is a transformation operator.

An original signal S. A transformation process T.

T(S) — the transformed signal. C(T(S)) — the commitment of the transformed signal.

Transformations are ubiquitous in AI systems — summarization, translation, agent orchestration, multi-agent communication, and LLM chains are all transformation operators. Each may degrade commitment.

Apply various transformation types (summarization, translation, compression) to signals with known commitment. Measure commitment before and after.

Commitment degradation by transformation type. Degradation rates across transformation types.

Transformations do not degrade commitment (all transformation types preserve C(S)).

Conservation Law experiments tested recursive transformation. Field data from AI systems shows transformation is ubiquitous.

Different transformation types may degrade commitment at different rates. The relationship between transformation type and degradation rate is not fully characterized.

Commitment Theory, Conservation Law experiments. Architecture: mos2es.com/concepts/conservation-law.