Decision-awareness system for detecting contradictions in complex data environments.
Prime Radiant is a decision-awareness system designed to reveal contradictions and inconsistencies inside complex data systems.
It does not predict the future. It does not make decisions. It highlights where reality stops being internally consistent.
• A contradiction detection engine
• A decision-awareness tool
• A system for structured human interpretation
• Not a prediction engine
• Not an AI decision-maker
• Not an automation system
• Not a control or enforcement tool
The system operates through layered comparison rather than single-source truth.
Sources → Layered Comparison → Contradiction Detection → Confidence Boundaries → Human Interpretation
• Official indicators report improvement
• Infrastructure signals indicate degradation
• Cost-of-living signals show pressure increase
Result: The system flags a contradiction between reported efficiency and physical indicators.
No conclusions are made. No actions are suggested.
Prime Radiant enforces strict conceptual limitations:
• No individual-level analysis
• No behavioral prediction
• No force or control recommendations
• No automated decision-making
All interpretation remains human responsibility.
This project is philosophically inspired by:
• Isaac Asimov — for the idea that large-scale human systems can be statistically understood but must never replace human responsibility.
• Andrej Karpathy — for the data-centric and Software 2.0 perspective, where systems emerge from structured signals rather than hand-written logic.
These inspirations are conceptual, not technical.
This repository represents a public MVP and conceptual layer.
Internal mechanisms, weighting logic, and advanced system layers are intentionally not disclosed.
This project is published for conceptual and educational purposes only.
Licensed under: Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 (CC BY-NC-ND 4.0)
Commercial use, modification, or derivative works are not permitted without explicit permission from the author.