Comparing a LLM to a less than ideal way of connecting two subjects is a more accurate model to work from than the popular construction of a "thinking" machine.
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The underlying algorithms that drive LLMs are essentially pathfinders. Instead of connecting points for paths, they connect glyphs to form new glyphs (to borrow a term from Hofstadter).
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