The Great Linguistic Expansion: Stress-Testing LLM Semantic Integrity Across 7,170+ Languages in the Reincarnatiopedia Ecosystem

Key Points

• The research aims to assess the limits of scaling linguistic models across a vast array of languages and identify points of failure.
• Examined 7,170+ languages within the Reincarnatiopedia ecosystem.
• Conducted stress tests on LLMs, including DeepSeek and Gemini.
• Proposed quality metrics specifically for low-resource languages.
• Analyzed the failure modes of current LLMs across diverse language nodes.
• Identified critical points where LLMs lose semantic coherence in low-resource languages.
• Proposed new quality metrics for evaluating Native-First language generation.
• Documented boundary conditions affecting performance in the distributed semantic network.