Crowdsourced Semantic Cache Network

The Crowdsourced Semantic Cache Network (CSCN) reduces LLM inference costs by using a shared vector database to intercept semantically similar queries before they require expensive new generation. The architecture employs a low-cost "LLM-as-Judge" layer for accuracy validation and a reputation-based incentive model to encourage users to update stale information. This creates a self-sustaining, demand-driven knowledge commons that improves efficiency and accuracy as the contributor community scales.