Dead Circuits and Living Speech: Building the First N'Ko AI Pipeline
- **What we found**: Qwen3-8B-Instruct processes N'Ko text with a 2.94x "translation tax" (L2 norm deficit) across all 36 transformer layers. Circuit duplication analysis (55 configurations, RYS methodology) finds 0/55 N'Ko-advantageous configurations. Three-zone failure analysis reveals structurally distinct collapse modes at embedding, middle, and output layers. Arabic, another RTL script, sits within 7% of English on the same metrics. The failure is entirely data-driven. - **What we built**: (1) A three-stage Lo
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