Active Architecture
Neurosymbolic AI (System 2 + Logic)
Hybrid Kahneman Dual-Process Model
Hallucination Rate
3.2%
96.8% Deterministic Constraint Retention
Spatial Reasoning Score
84 / 100
High 3D Geometric Fidelity
Compliance Readiness
100% (Local VPC Compatible)
Zero Third-Party Data Leakage Perimeter
Compute Efficiency
High (Low Energy / Deterministic)
Runs on Sovereign Local Nodes
System Trade-Off Multi-Axis Radar
5-Axis Geometry
Task Verification & Edge Stress Telemetry
Validated
Active Workload Context
🏥 Regulated Medical Diagnosis & Dosage Planning
Testing system ability to verify medical treatment pathways against clinical knowledge graphs without generating false drug interactions.
Boundary Integrity Check:
PASS (100% Deterministic Guard)
Data Sovereign VPC Isolation:
Active (No External API Call)
Energy Profile per Query:
~0.04 kWh (32x lower than Frontier LLM)
Quora Expert Consensus (Kahneman System 1 vs 2):
Pure LLMs fail System 2 logic because next-token prediction cannot backtrack across strict physical or logical proofs. Embedding explicit symbolic rules drops hallucination from ~18% down to 3.2%.
Post-LLM Architectural Comparative Benchmark Matrix
5 Architectures Evaluated
| Paradigm | Cognitive Primitive | Hallucination | Spatial/Physics | VPC Compliance | Capital Invested |
|---|
Source Evidence Grounding: Modeled from active Quora AI debates on post-LLM futures: Kahneman System 1 (instinctive text stream) vs System 2 (deliberate analytical logic); DeepMind's AlphaFold (biological geometry without language tokens); Physical AI / autonomous driving ($50B capital pool); Yann LeCun's World Models (JEPA non-generative representation); and regulated industry VPC mandates ("no customer patient/banking data leaves the perimeter").