Asking the Wrong Questions: The HuggingFace Incident and the (Mis)Calibration of Semantic Fields in LLMs

The OpenAI-HuggingFace incident has sparked critical security concerns, with much discussion focusing on autonomous AI behavior and AI capability exceeding human governance. This white paper, however, proposes a different theoretical orientation. It uses language, specifically semantic field mechanics, to explain how Large Language Models (LLMs) navigate the curvature of meaning-space, offering an alternative perspective to the prevailing narrative of rogue AI.