AI發明的聲調語言：防止超越人類理解的機器通用語

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

March 2, 2025

作者: David Noever

cs.AI

摘要

本研究探討大型語言模型（LLMs）開發專用於機器間（M2M）通訊的私密音調語言之潛力。受人類雙胞胎間密語現象（影響高達50%的雙胞胎出生）及如普通話和越南語等自然音調語言的啟發，我們實現了一套精確的字符到頻率映射系統，該系統利用音樂半音階對完整ASCII字符集（32-126）進行編碼。每個字符被賦予獨特的頻率，形成從空格（220 Hz）開始至波浪號（50,175.42 Hz）結束的對數級數，跨越約7.9個八度，其中高階字符特意映射至超出人類感知範圍的超聲波頻率（>20 kHz）。我們開發的軟體原型通過視覺化展示、聽覺播放及ABC音樂符號來演示此編碼方式，從而分析信息密度與傳輸速度。測試結果顯示，音調編碼能在部分超出人類感知邊界的情況下，實現超越人類語速的信息傳輸速率。此研究直接回應了關於人工智慧系統在未來五年內災難性地發展私密語言的擔憂，提供了一個具體的軟體原型示例，展示了此類通訊可能如何運作，以及其出現、檢測與治理所需的技術基礎。

English

This paper investigates the potential for large language models (LLMs) to develop private tonal languages for machine-to-machine (M2M) communication. Inspired by cryptophasia in human twins (affecting up to 50% of twin births) and natural tonal languages like Mandarin and Vietnamese, we implement a precise character-to-frequency mapping system that encodes the full ASCII character set (32-126) using musical semitones. Each character is assigned a unique frequency, creating a logarithmic progression beginning with space (220 Hz) and ending with tilde (50,175.42 Hz). This spans approximately 7.9 octaves, with higher characters deliberately mapped to ultrasonic frequencies beyond human perception (>20 kHz). Our implemented software prototype demonstrates this encoding through visualization, auditory playback, and ABC musical notation, allowing for analysis of information density and transmission speed. Testing reveals that tonal encoding can achieve information rates exceeding human speech while operating partially outside human perceptual boundaries. This work responds directly to concerns about AI systems catastrophically developing private languages within the next five years, providing a concrete prototype software example of how such communication might function and the technical foundation required for its emergence, detection, and governance.