PMU LENS: FROM SEMANTIC DRIFT TO LICENSABLE AI RISK

Prompt Intent (Weighted Mass) → Ballistic Walk → AI Delivered Output
(Reality)

Semantic Bleed Ratio (α): Drift Outside Intent Topography

THE AI "GREEKS" & LICENSING — THE FOUR PILLARS OF AI RISK
Δ Semantic Delta · Γ Traction Gamma · V Reef Volatility · Θ Efficiency
Decay

MEASURING THE DRIFT (σ)

Chebyshev Boundary Mapping
Uses "king-move" distance on 144-node grid to detect categorical boundary
breaches.

Intent vs. Reality Topography
Compares prompt's weighted mass against delivered code to calculate
contained risk.

Halting the Token Burn
Prevents exponential costs by reducing "Turns-to-Success" from a 38-turn
median to rapid alignment.

ECONOMIC VALUE COMPARISON: Lens-OFF vs. Lens-ON
                    Lens-OFF Baseline (Median)   Lens-ON Target
Turns per Task      37.9 Turns                   2 Turns
Billable Tokens     1.30 Million                 < 0.1 Million
Asset Tier          Auditable                    Licensable

THE LICENSABLE ASSET
Signed Signal · Hardware Provenance · Drift Calibration · Tamper-Evident
Attestation

gzip-fb (fallback) indicators used throughout data processing.

SOURCE: NotebookLM