Glyph — trained LoRA adapters
Three LoRA adapters on Qwen2.5-Coder-3B for a seeded logographic agent-language:
- speaker: English task → glyph symbols
- builder: glyph symbols → Python code
- translator: glyph symbols → English
Results (seed=0): compositional decode 12/22, cold-model self-explanation 13/22, byte reduction 98.8% vs English agent-to-agent. Code + demo: https://github.com/robertkeus/glyph-ai
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