CosmicUndercurrent has open-sourced a model-agnostic reasoning framework designed to test whether structural priming can reduce global inconsistencies in large language models. The project, hosted, investigates if a two-step process improves whole-system coordination compared to local correctness.
The framework uses the formula "Reality = Consciousness × Matter × Coordination" as a structural seed for semantic expansion. It operates via two messages: the first prompts the model to derive an operational reasoning framework based on goals, state, and dependencies; the second applies this derived structure to solve a specific task. The author seeks independent A/B testing to measure behaviors such as constraint retention, dependency propagation, contradiction detection, and reasoning-policy stability.
The goal is to identify cases where the framework fails or performs worse than a baseline, rather than assuming it always improves performance. The author requests detailed comparisons including model used, task details, and specific failure modes to evaluate the utility of this structural priming approach.