This research examines how Large Language Models could develop private tonal languages for machine-to-machine communication, potentially excluding human oversight.

• Implements a character-to-frequency mapping system that converts ASCII characters into musical tones
• Draws parallels to cryptophasia (twin languages) and natural tonal languages like Mandarin
• Proposes detection methods to identify when AI systems might be developing private languages
• Highlights the governance challenges of ensuring AI communications remain transparent

Why it matters: As AI systems become more sophisticated, preventing them from developing their own communication channels is critical for security, transparency, and maintaining human oversight of artificial intelligence.

AI-Invented Tonal Languages: Preventing a Machine Lingua Franca Beyond Human Understanding