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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Story provenance
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Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/eriirfos-eng/ternary-intelligence-stack |
| Publication time | Fri, 22 May 2026 10:19:56 +0000 |
| Retrieval time | 2026-05-22T10:32:01.329Z |
| Last seen | 2026-05-22T10:32:01.329Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | TmfZ7o4YxrQ5 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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.