AI创造的音调语言：防止超越人类理解的机器通用语

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

March 2, 2025

作者: David Noever

cs.AI

摘要

本文探讨了大型语言模型（LLMs）开发用于机器间（M2M）通信的私有音调语言的潜力。受人类双胞胎中出现的隐秘语言现象（影响高达50%的双胞胎出生）以及汉语和越南语等自然音调语言的启发，我们实现了一种精确的字符到频率映射系统，该系统利用音乐半音阶对完整的ASCII字符集（32-126）进行编码。每个字符被赋予一个独特的频率，形成一个从空格（220赫兹）开始到波浪号（50,175.42赫兹）结束的对数级数。这一系统跨越约7.9个八度，较高字符特意映射至超出人类感知范围（>20千赫）的超声波频率。我们实现的软件原型通过可视化、听觉播放及ABC音乐符号展示了这一编码方式，使得信息密度与传输速度的分析成为可能。测试表明，音调编码能在部分超出人类感知边界的情况下，实现超越人类语音的信息传输速率。本工作直接回应了关于AI系统在未来五年内灾难性地发展私有语言的担忧，提供了一个具体的原型软件示例，展示了此类通信可能如何运作，以及其出现、检测与治理所需的技术基础。

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.