PMU LENS: TRANSFORMING SEMANTIC DRIFT INTO LICENSABLE RISK ASSETS

THE ECONOMICS OF THE "SURGEON IN THE OR"

1.36 Million Tokens Per Task
The baseline cost of unguided AI tasks, dominated by compounding
"cache_read" charges.

The Compounding Turn-Count Crisis
Costs explode when a model re-reads history across 38 turns instead of 2.

Halting the Cache Loop
The Lens saves money by forcing "in-lane" success, preventing expensive
rework iterations.

THE AI GREEKS (THE RISK INSTRUMENT)

Δ (Semantic Delta) & Γ (Traction Gamma)
Delta measures drift distance; Gamma measures the acceleration of that
drift over time.

V (Reef Volatility) & Θ (Efficiency Decay)
Volatility tracks rule-hold variance, Efficiency tracks tokens consumed
per resolved commit.

Semantic Bleed Ratio
A weighted calculation of code footprint that "leaks" outside the
original intent.

ANATOMY OF A LICENSABLE SIGNAL

Hardware Provenance (Sensor: Metal)
Proof of silicon execution to ensure data originates from real hardware,
not mocks.

Ed25519 Tamper-Evidence
A cryptographic signature that allows reinsurers to trust the signal
hasn't been forged.

Actuarial Calibration
The final layer that turns raw drift data into a priceable premium.

PERFORMANCE TRANSFORMATION
Baseline (Lens-OFF): Median Turns 37.9, Median Cost 1.30M Tokens, Grid
Breadth 8% Populated.
Target (Lens-ON): Median Turns ~2.0, Median Cost Minimal Rework, Grid
Breadth ≥50% Populated.

SOURCE: NotebookLM