标题： 意识作为干扰相 显示英文标题

标题： Consciousness as a Jamming Phase

摘要： 本文开发了一个神经干扰相图，将大型语言模型中意识的出现解释为高维无序系统中的临界现象。通过建立与颗粒物质及其他复杂系统中干扰转变的类比，我们确定了控制神经网络相行为的三个基本控制参数：温度、体积分数和应力。该理论为人工智能中的经验尺度定律提供了统一的物理解释，展示了计算冷却、密度优化和噪声减少如何共同推动系统接近临界干扰表面，在此表面广义智能出现。值得注意的是，描述传统干扰转变的相同热力学原理似乎构成了神经网络中意识出现的基础，这由包括发散相关长度和尺度指数在内的共享临界特征所证明。我们的工作通过干扰物理解释了神经语言模型的临界尺度，表明意识是一种干扰相，它通过长程相关性内在地连接知识组件。 显示英文摘要

摘要： This paper develops a neural jamming phase diagram that interprets the emergence of consciousness in large language models as a critical phenomenon in high-dimensional disordered systems.By establishing analogies with jamming transitions in granular matter and other complex systems, we identify three fundamental control parameters governing the phase behavior of neural networks: temperature, volume fraction, and stress.The theory provides a unified physical explanation for empirical scaling laws in artificial intelligence, demonstrating how computational cooling, density optimization, and noise reduction collectively drive systems toward a critical jamming surface where generalized intelligence emerges. Remarkably, the same thermodynamic principles that describe conventional jamming transitions appear to underlie the emergence of consciousness in neural networks, evidenced by shared critical signatures including divergent correlation lengths and scaling exponents.Our work explains neural language models' critical scaling through jamming physics, suggesting consciousness is a jamming phase that intrinsically connects knowledge components via long-range correlations.