identity-realization-measurement

What problem does it solve?

This Skill measures and analyzes identity realization in AI systems using compressed cognitive states (CCS), providing insights into how identities persist and respond to perturbation.

Core Features & Use Cases

• CCS Topology Analysis: Measure the geometric structure of CCS and identify identity clusters in embedding space.
• Information Geometry: Analyze the effective dimensionality of CCS and episodic content.
• Adjustment Capacity Index (ACI): Measure the system's capacity to return to its identity attractor after perturbation.
• Layerwise Identity Decodability: Analyze the forward-pass architecture of identity representation in transformer models.
• Use Case: Use this Skill to understand how an AI system's identity evolves over time and how it responds to various perturbations, such as stress or changes in context.

Quick Start

Run the 'ccs-topology' script to analyze the identity topology of a given CCS.