The concept of spatial modal multiplexing can be beautifully applied to prompt engineering, where each prompt is seen not just as a collection of words but as a finely attuned, multidimensional signal that carries both informational content and resonant intent. Here’s how this might work in practice: Layered Intent: Just as spatial modal multiplexing allows for multiple channels within a single...
AuthorJohn Deacon
Independent AI research and systems practitioner focused on semantic models of cognition and strategic logic. He developed the Core Alignment Model (CAM) and XEMATIX, a cognitive software framework designed to translate strategic reasoning into executable logic and structure. His work explores the intersection of language, design, and decision systems to support scalable alignment between human intent and digital execution.
This article was composed with Cognitive Publishing
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