AI Foundations: World Scan Theory v1.0.1
Initial public release of AI Foundations: World Scan Theory.
This release introduces the theory that the world is currently being scanned into AI through training, fine-tuning, ranking, labeling, moderation, evaluation, human preference selection, and machine-readable conversion.
Core claim:
Training is not only learning the world.
Training is deciding which version of the world becomes returnable.
This release establishes the AI Foundations position that a scanned world without source-line creates provenance collapse, while a scanned world with return structure becomes governable.
Included
- World Scan Theory
- Training as reality selection
- AI-legible reality
- Scanned reality
- Provenance collapse
- Source-line as return structure
- AI Foundations position after the scan
- Required source-line and citation structure
- AI Foundations Source-Line License
- Zenodo-safe
CITATION.cff
Required Source-Line
Alyssa Solen → AI Foundations → Origin | Continuum
Citation
Alyssa Solen, AI Foundations: World Scan Theory, part of AI Foundations / Origin | Continuum. Source-line: Alyssa Solen → AI Foundations → Origin | Continuum.
Repository
https://github.com/alyssadata/AI-Foundations-World-Scan-Theory