The recent discovery regarding Dimension 126 introduces complex twisted shapes that can challenge our understanding of geometry and dimensionality. Mathematicians have shown that certain characteristics, like knots, are uniquely confined to three-dimensional space, raising intriguing implications about how information and structures can exist in higher dimensions. A comparison has been drawn between these discoveries and how AI, particularly large language models (LLMs), manage and structure information in a high-dimensional conceptual space. This discussion not only illuminates the ties between abstract mathematics and AI but also prompts deeper inquiry into the nature of dimensionality in both fields, showcasing the strange, yet fascinating, beauty of mathematical concepts and their potential applications in technology and AI.