A Categorical Analysis of Large Language Models and Why LLMs Circumvent the Symbol Grounding Problem

Published 9 Dec 2025 in cs.AI | (2512.09117v1)

Abstract: This paper presents a formal, categorical framework for analysing how humans and LLMs transform content into truth-evaluated propositions about a state space of possible worlds W , in order to argue that LLMs do not solve but circumvent the symbol grounding problem.

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