Please elaborate, this sounds fascinating

I sincerely appreciate your interest.

Let’s start with familiarizing with a large collection of sign systems we know about…

https://github.com/space-bacon/SignSystems/blob/main/Codex-o...

Intrigued by the project, love the idea of exhaustively exploring significance for arbitrary input.

Think you need to provide a few example inputs and outputs on the github for the program.

Also not sure a project focused on decoding meaning and signals benefits from having AI generated interpretations divorced from the inherently human act of sign interpretation. Can be seen in the md file, such a rigidly enforced structured output has forced it to give some averaged amount of weight to different categories and examples, when many are facets of each-other, or purely just expressions of something mentioned earlier. I can see free-form high-temperature llm outputs fed to another model, which serves only to aggregate their core interpretations, providing more insight than what's within the document currently.

Thanks, I agree with that input.

What are your thoughts on this from a conceptual lens?

https://github.com/space-bacon/Semiotic-Analysis-Tool

Each of these systems contribute to information. They may be closely entangled (compared to say a rock on mars) or have more entanglement due to proximity. This “entanglement” may relay universal truths or even advanced theories on itself at the speed of information.