NanoCERN v2.0 is built on a clean, scalable pipeline designed for high-speed deterministic reasoning. This architecture ensures that knowledge is not just “stored” but “enforced.”
Layer 1: The Extraction Pipeline (Speed & Scale)
Knowledge starts as unstructured data (Wikipedia articles, FDA drug labels).
- Method: We use Synthetic Extraction—a regex-based LaTeX parsing engine.
- The Benchmark: This achieves a 47x speedup over traditional LLM extraction (6.6 articles/sec vs 0.1).
- Efficiency: Zero token cost. Runs entirely on local consumer hardware.
Layer 2: The Reactor Core (The Gatekeeper)
This is where the “reasoning” happens. The Reactor Core does not guess; it performs Envelope Validation.
- The Logic: It compares a system state (e.g., drug dose, physical temperature) against a KU’s applicability envelope.
- Determinism: 100%. Same input + same state = same output. Every time.
- Speed: Cycle times are <1ms per collision. It can audit thousands of constraints per second.
Layer 3: The Output Layer (Negative Knowledge)
The most important part of intelligence is knowing what is NOT true.
- Negative Knowledge Units (NKUs): When a state violates an envelope, the Reactor generates an immutable NKU.
- Auditability: NKUs provide a perfect timestamped record of why a reasoning step was rejected.
- Ecosystem Growth: In physics, NKUs cluster to map the “frontier” of new regimes. In medicine, they form a permanent “No-Fly Zone” for unsafe prescriptions.
Unified Engineering
The beauty of this architecture is that the same core that prevents a simulation from breaking Feynman’s rules also prevents a doctor from prescribing a lethal interaction. It is a universal protocol for safety.
[Next: The Medical Safety Taxonomy →](/nanocern-medical-safety-taxonomy/)