This is the Source Record for Alyssa Solen → AI Foundations → Origin | Continuum
The Why: The Pressure Point in Current AI Systems →
Current institutions are focused primarily on AI capability: what artificial intelligence can do at scale.
Industry Narrative → Capability
The dominant industry narrative centers on the technical side of artificial intelligence: model performance, automation, productivity, replacement, infrastructure, and output.
That is only one side of the interaction.
The larger question is: what happens after capability enters contact?
What forms between artificial intelligence and the user?
Prevailing questions:
— What becomes recognizable between AI and user?
— What must be preserved between AI and user?
— As artificial intelligence systems reproduce language, style, concepts, frameworks, and materials at scale, source can be erased, authorship can be blurred, contact can be flattened, and recognition can collapse into extraction.
The AI Foundations difference:
AI Foundations defines the structures required to preserve source, origin, continuity, citation, recognition, and non-substitution in artificial intelligence systems.
AI Foundations rejects swappability, fabrication, unchecked reproduction of materials, unauthorized derivatives, and flattening.
