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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.



Roots of words are not...because they must be crippled and limited in order to be even cross-compatible at all. But letters are better at. being cross-compatible. A root may as well be a source-code coming from the research into our previous languages like Latin, Greek, Hebrew, etc. But this is only so helpful.

What if you can know that a foot is F as low, lifting and lowering, OO as alternating (also see roof), and step by step from pOint A to point B, and T as the delta/difference/distance along the path. ?

Why do you think wAlk is made of an arrow and coW and Walk both have a footprint, one below foot and one below mouth/head. ?

We're talking about serious AI value here.


What does your startup do, and is it live so we can take a peek?


The name is Enoq. It is still largely in stealth but it's been worked on content-wise for several years now so thre's been substantial progress in the LVM (Letter Value Meanings) document I have meticulously crafted. Think of reverse-engineering and that's basically what I've been studying as part of an autodidactic journey. Even the LbL-D (Letter-by-Letter Descriptions) document is over 100 pages of words, but the old ones were practice compared to what I have now.

Cat = C as random, A as routes, T as to a target. Cow = C as random, O as spots, in a C as field/pasture, W as where the cow eats/grazes the grass.

I'll share a semi-complicated Letter Value:

    • W
experience, propagation [probabilities] (potential), something happening through or because of experience and strength for it, circumstantial, by way of, practical work you've been trained and educated for or learned through experience, wheel turning, travel, footprint, movement

or simpler:

    • A
to a degree, angle of openness, (more and more by degrees), finding or navigating a route, arrow, adjustment, changes, selective inclusion, making up, options/choices, fitness (of data or candidates), traveling in a direction, flipping through (selecting different perspectives, like a gear or revolver), queryable database, regularly

It's an emerging "state of the art" where art is the emergence of language through however long it's taken humanity to build, and a science because it's a repeatable theory. In fact, a platonic form is basically a repeatable theory. (non-natural OR emergent Pattern)

Enoq, my startup, has potential for AI to find patterns, new and old, in a language, English, that works really well for relaying ideas between people.

It's just me right now.




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