In this paper, we rethink the way that communication among users over the
Internet, one of the fundamental outcomes of the Internet evolution, takes
place. Instead of users communicating directly over the Internet, we explore an
architecture that enables users to communicate with (query) Large Language
Models (LLMs) that capture the cognition of users on the other end of the
communication channel. We present an architecture to achieve such LLM-based
communication and we perform a reality check to assess how close we are today
to realizing such a communication architecture from a technical point of view.
Finally, we discuss several research challenges and identify interesting
directions for future research.

通过研究基于大型语言模型的通信架构，本文重新思考了用户在互联网上的直接通信方式，并讨论了技术实现的现实性、未来研究方向以及相关的研究挑战。

通过 LLMs 重新思考互联网通信：我们有多接近？

Rethinking Internet Communication Through LLMs: How Close Are We?

The description of the Internet topology is an important open problem,
recently tackled with the introduction of scale-free networks. In this paper we
focus on the topological and dynamical properties of real Internet maps in a
three years time interval. We study higher order correlation functions as well
as the dynamics of several quantities. We find that the Internet is
characterized by non-trivial correlations among nodes and different dynamical
regimes. We point out the importance of node hierarchy and aging in the
Internet structure and growth. Our results provide hints towards the realistic
modeling of the Internet evolution.

本文旨在研究真实互联网地图的拓扑和动力学性质，探讨节点层次结构和老化在互联网结构和增长中的重要性，并提供了互联网演化的现实建模线索。