Live 204-node MoE visualization reveals emergent cognitive stratification
The article discusses the Ternary Intelligence Stack (TIS) developed by RFI-IRFOS, which includes a unique programming language and a language model named albert. This model operates on balanced ternary logic and is designed to autonomously expand its architecture. The project emphasizes local execution and open-source principles, with various licensing tiers available for different user needs.
- ▪Ternlang is a systems programming language built on balanced ternary logic, with a core type called trit.
- ▪The albert model is a ternary Mixture-of-Experts language model trained from scratch, utilizing a unique architecture that expands autonomously.
- ▪Agent Albert is a terminal-native AI agent that runs locally without cloud dependency.
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Ternary Intelligence Stack (TIS) Built by RFI-IRFOS · Graz, Austria · Whitepaper [https://osf.io/cyn28] Documentation README.md — Full technical documentation and compiler specifications Ternlang Studio (Preview) — Developer dashboard and SDK albert. — Native ternary training framework, EvolutionManager, live dashboard Model Card — Architecture, training status, EU AI Act compliance notes Convergence Log — Live training loss history across all albert. versions Agent Albert CLI — Terminal-native, model-agnostic AI agent built in pure Rust Roadmap — Phases 1–20 and priority matrix Session Log — Production fixes and deployment notes 1. Ternlang A systems programming language, compiler, and inference runtime built on balanced ternary logic.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.