Lead-in Today, AI excels at generating content through effective but fundamentally static methods. It relies on vast data and learned patterns to produce responses that suit many contexts. But imagine a new way of thinking about meaning—one that moves beyond rigid definitions to offer a … Continue reading The Dynamic Quadranym Model (DQM): Integrating Semantic Structure and Responsiveness for a Situating AI