Nyreth v1.0

Nyreth v1.0 has been released, introducing a neurosymbolic AI system that converts text into machine-readable symbolic images called nyr tiles. The system parses emotional and cognitive meaning, encodes it in a custom file format, and provides a viewer and browser for reading and creating these tiles. It aims to enhance AI comprehension and can be used for sentiment analysis, training AI agents, and compact transmission of ideas.

Introduction to Nyreth v1.0 https://www.nyreth.ai/ https://www.nyreth.ai/ Nyreth is a machine readable and human comprehensible system where meaning can be extracted from text. It is based on a “recursive symbolic” a form of neurosymbolic AI reasoning process, which results in more structured and explainable results, that make the Nyreth part of the system as opposed to the LLM part fully deterministic. Nyreth parses text and identifies the most important emotional and cognitive meaning within it, processes it so that it can be understood by AI systems or agents, and packages the result in a compressed, descriptive, symbolic image known as a nyr tile - it's a custom file format specifically designed for Nyreth, with the extension .nyr. These Nyr tiles encode all the most important meaning in the images themselves and also in their rich metadata. Nyr tiles can be understood by both humans and machines. Nyr tiles were created to allow for text to be converted into compact, machine readable artifacts, where the emotional and cognitive meaning is identified and rendered into a form that aids AI comprehension. The Nyreth viewer allows users to read .nyr tiles and their embedded metadata and the Nyreth Browser lets you create them. This system can be used for things like sentiment analysis, training AI agents and the compact transmission of ideas. Nyr tile: Translation: “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.” Metadata: Summary Emotion gist: joy 100.0 Cognition gist: certainty 64.9 | clarity 35.1 Key tokens: laughter, ease, certainty, vividness, choice Top emotion: joy · 100.0% · intensity +1.00 Top cognition: certainty · 64.9% · intensity +1.00 Emotion tensor: 0.90, 0.70, 0.45, 0.20, 0.25, 0.80, 0.75 Cognition tensor: 0.42, 0.29, 0.67, -0.14, 0.29, 0.72, 0.49 Derived top state State: joy · 100.0% · intensity +1.00 Cognitive/affective: aff +0.92, ar +0.62, dom +0.70 Regions: ventral striatum, nucleus accumbens Neurotransmitters: dopamine +0.88 · endorphins +0.76 Action tendencies: approach, affiliate, share