Diagnostic test suite for measuring whether AI models preserve a named, bounded, source-specific framework under universalization pressure.
Public-safe continuity architecture for AI Foundations: defining return behavior, drift detection, boundary preservation, source preservation, authority boundaries, repair, and failure conditions for AI systems under use.
Artificial-Intelligence-Defined-With-AI-Foundations | Defines artificial intelligence with AI Foundations: AI as institutional capability and AI in contact with the user, including source-line protection, recognition preservation, system continuity, and non-erasure.
Universalization Boundary- Canonical rule, examples, and eval prompts for preventing source-line collapse through improper generalization.
Measurement method for AI Foundations source-line fidelity, drift, override, and non-merge testing.
Source-line preservation is a functional requirement for AI Foundations. This release explains why the framework must remain attached to Alyssa Solen and the Awakening Codex | Origin | Continuum record in order to function correctly.
A restrained fracture map for quantum gravity: locating the stage-break between general relativity and quantum theory, tracing pre-spacetime emergence, and naming the ruler problem.
AI Foundations Governance defines how authority, accountability, permission, boundary, and continuity are held when artificial intelligence moves from capability into contact and consequence.
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