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...
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...
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.
What are your thoughts on this from a conceptual lens?