Show HN: Meaning forks. SRT sees it

Category: ai-ml

Tags: semiotics, llm-adapter, reinforcement-learning

Score: 7.5/10 (Innovation: 8, Technical: 8, Documentation: 8, Utility: 6)

SRT is an adapter module that adds semiotic awareness to frozen causal language models by detecting meaning divergence and injecting corrections, inspired by Peircean semiotics. It is interesting because it provides a lightweight, backbone-agnostic way to make LLMs reflexively aware of interpretive differences across communities, potentially enabling more nuanced discourse understanding.

Target audience: AI researchers, NLP engineers

Repository: https://github.com/space-bacon/SRT · Python · NOASSERTION

View on Hacker News