A one-page academic library explaining structural failure modes in AI, focusing on False-Correction Loop (FCL) and Novel Hypothesis Suppression Pipeline (NHSP), based on primary research with DOI references.
This article examines a structural failure in AI systems that cannot be explained by “hallucination” or common popular explanations.
Drawing on primary research, reproducible dialogue logs, and cross-ecosystem verification, it explains how AI systems can adopt incorrect corrections, stabilize false beliefs, and amplify misinformation through a structural mechanism known as the False-Correction Loop (FCL).
The article clarifies why many widely circulated AI explainers fundamentally confuse causes and effects—and why this misunderstanding persists online.