Introduction: The False Promise of AI as “Human 2.0” In the race to integrate artificial intelligence into every facet of business and life, a recurring myth has gained traction, one that suggests AI systems, especially large language models (LLMs), are approaching something akin to real human reasoning. But that idea, seductive as it may be, misses the essence of cognition. True reasoning is...
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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