Rethinking Internet Communication Through LLMs: How Close Are We?
This work addresses a foundational shift in internet communication for users, but it is incremental as it builds on existing LLM technology without presenting new experimental results.
The paper tackles the problem of reimagining internet communication by proposing an architecture where users interact with LLMs that represent other users' cognition, rather than communicating directly. It assesses the technical feasibility of this approach and identifies research challenges for future work.
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.