Show HN: WFGY – A reasoning engine that repairs LLM logic without retraining https://ift.tt/7HDCr52

Show HN: WFGY – A reasoning engine that repairs LLM logic without retraining WFGY introduces a PDF-based semantic protocol designed to correct projection collapse, contradiction loops, and ambiguous inference chains in LLMs. No retraining. No system calls. When parsed, the logic patterns alter reasoning trajectories directly. Prompt evaluation benchmarks show: ‣ +42.1% reasoning success ‣ +22.4% semantic alignment ‣ 3.6× stability in interpretive tasks The repo contains formal theory, prompt suites, and reproducible results. Zero dependencies. Fully open-source. Feedback from those working in alignment, interpretability, and logic-based scaffolding would be especially valuable. https://ift.tt/tOEvi1J June 18, 2025 at 02:43AM