Any good understanding of language and semantics wouldn't be complete without substantial insight into the platonic relationships that linguists have threaded through the word-forms that represent the concepts that we want to talk about and share meaning.
I think we MAY find something supportive of our desire to understand our connection between humans as we follow the path that the e evidence leads us to upon further investigation of a theory, "form follows function even when the function is chaos", seen in a recently released science news, but a possible way to predict emergent chaos, geometry-wise. https://physicsworld.com/a/could-the-geometry-of-chaos-be-fu... . Possibly a simulation type of theory is relevant here.
Anyway, language is made of words, words are made of letters, and letters are [made of shapes] - with meaning attached to all these different layers, and concepts are made of understanding (where under is friendly but different substance than abstraction).
Or you can say abstraction can have opposites, either statistical and lazy (above standing; the outer), or reverse-engineered/causative working layer and fundamental (under standing; the inner). The lazy way only transfers cases but not causes like you can do through fundamentals.
Root words are (more) de facto in the direction of statistics but don't emerge from "source".
If you truly had a way to understand letter meaning what would you do with it with AI or HI? It's a really powerful skillset that should get some play in our society of the minds.
My startup has linguistic self-knowledge because it under/inner stands from letters onto words and therefore it's Generative in a fairly straightforward function anyone with a mind can get into.
I think we MAY find something supportive of our desire to understand our connection between humans as we follow the path that the e evidence leads us to upon further investigation of a theory, "form follows function even when the function is chaos", seen in a recently released science news, but a possible way to predict emergent chaos, geometry-wise. https://physicsworld.com/a/could-the-geometry-of-chaos-be-fu... . Possibly a simulation type of theory is relevant here.
Anyway, language is made of words, words are made of letters, and letters are [made of shapes] - with meaning attached to all these different layers, and concepts are made of understanding (where under is friendly but different substance than abstraction).
Or you can say abstraction can have opposites, either statistical and lazy (above standing; the outer), or reverse-engineered/causative working layer and fundamental (under standing; the inner). The lazy way only transfers cases but not causes like you can do through fundamentals.
Root words are (more) de facto in the direction of statistics but don't emerge from "source".
If you truly had a way to understand letter meaning what would you do with it with AI or HI? It's a really powerful skillset that should get some play in our society of the minds.
My startup has linguistic self-knowledge because it under/inner stands from letters onto words and therefore it's Generative in a fairly straightforward function anyone with a mind can get into.