How does NanoCERN “know” the universe? It doesn’t guess—it audits.
At the heart of the NanoCERN engine is the Three-Layer Architecture:
Layer 1: The Extraction Pipeline
Processes raw unstructured data (Wikipedia, FDA Labels) using synthetic extraction—achieving a 47x speedup over traditional LLM methods with zero token costs.
Layer 2: The Reactor Core
Perform high-speed, deterministic Envelope Validation. A Knowledge Unit (KU) is not a data point; it’s a contract containing:
1. The Invariant: The fundamental law or relationship (e.g., ).
2. Applicability Envelope: The specific conditions (Regime/Safety boundaries) where this law holds.
3. Failure Behaviors: The consequence of violation.
Layer 3: The Output Layer (The Memory of No)
When a law is broken, you don’t get a “confidence score”—you get a Negative Knowledge Unit (NKU). This is a permanent, immutable record of where knowledge failed. In physics, this maps regime boundaries; in medicine, it maps lethal contraindications.
This deterministic approach is what separates NanoCERN from traditional LLMs. We don’t predict the next token; we enforce the next constraint.