Information Has Weight
And weight determines computational cost.
The Discovery
While optimizing AI systems, I discovered that semantic information exhibits measurable physical properties:
Every word has a measurable "semantic mass" in embedding space.
This mass directly correlates with computational requirements.
13,000+ validated tests. Four different AI models. The pattern holds.
0.74
CPU time correlation
15%
Cost prediction accuracy
86%
Hallucination detection
40-90%
Compression efficiency
Applications
- Predict infrastructure costs before execution
- Detect impossible AI states (hallucinations) in real-time
- Compress embeddings without semantic loss
- Route computations based on thermodynamic phase
"Information thermodynamics isn't theoretical. It's measurable, predictable, and actionable."
Provisional Patent: 63/816,583
Filed: June 2025
Inventor: James Gardner
Ready to make AI infrastructure predictable?
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