Human language, developed over 3,000 years, is essentially a collection of tokens that language models learn to reproduce. These models can create content by mimicking the structure of existing language but lack a fundamental understanding of the world. In contrast, interacting with the physical world presents complexity characterized by chaos, nonlinearity, and fractal patterns, which current models may not effectively manage. While these models can generate human-like content, they do not inherently grasp the intricate nature of reality itself.

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