A Comparison of the Effect of Language on High Level Information Processes in Humans and Linguistically Mature Generative AI

Recent advances in Large Language Models (LLMs) have reignited discussions concerning the similarities and differences between human and machine intelligence. This article approaches such questions from the viewpoint of the overarching explanation for biological and technological information systems provided by Emergent Information Theory. Particular attention is given to the role of language in the construction of high-level emergent informational processes and entities and to its use in conscious reporting. This leads to the conclusion that language may also provide a window into the inner workings of these systems that can provide evidence relevant to these discussions.