Nyreth v1.0

Nyreth v1.0 is a machine-readable, human comprehensible system designed to extract meaning from text. It employs a "recursive symbolic" AI reasoning process, resulting in more structured and explainable outcomes. Unlike the Large Language Model (LLM) component, the Nyreth part of the system is fully deterministic.

The software parses text and identifies the most significant emotional and cognitive meaning within it. This processed information is then transformed into a compressed, descriptive symbolic image called a Nyr tile - a custom file format specifically designed for Nyreth. Nyr tiles encode all the essential meaning both visually and through rich metadata, making them understandable by both humans and machines.

Nyreth was created to enable the conversion of text into compact, machine-readable artifacts where emotional and cognitive meaning is identified and rendered in a form that aids AI comprehension. The Nyreth viewer allows users to read these .nyr tiles and their embedded metadata, while the Nyreth Browser facilitates their creation. This system finds utility in various applications, including sentiment analysis, training AI agents, and the compact transmission of ideas.

Here's an example of a Nyr tile generated by the system:

"She laughed without thinking, a sound so easy it filled the room and seemed to ripple through everything — the plants by the window, the hum of the kettle, even the cat stretching in a sunbeam. For a moment, there was nothing complicated to solve or repair; just the steady, gentle certainty that life was good, and that she was entirely alive inside it. She decided to be happy, so she was."

The metadata associated with this Nyr tile includes a summary emotion gist of joy (100.0%), a cognition gist of certainty (64.9%), and key tokens such as laughter, ease, certainty, vividness, and choice. The top emotion identified is joy at 100.0% intensity, while the top cognition is certainty at 64.9% intensity. The emotion tensor is represented as [0.90, 0.70, 0.45, 0.20, 0.25, 0.80, 0.75], and the cognition tensor as [0.42, 0.29, 0.67, -0.14, 0.29, 0.72, 0.49].

Additionally, the system provides derived states and regions, such as the top state of joy (100.0% intensity) and cognitive/affective factors like aff (+0.92), ar (+0.62), and dom (+0.70). These findings are derived from specific regions of the brain, including the ventral striatum and nucleus accumbens, and involve neurotransmitters like dopamine (+0.88) and endorphins (+0.76). The action tendencies identified in this context are approach, affiliate, and share.