Human Temporality vs. LLM Temporality within the TNA Framework

We analyze the structural nature of time perception by comparing human consciousness ($S_H$) with Large Language Models ($S_{LLM}$) through the lens of the Theorem of Axiomatic Necessity (TNA). Human temporality is modeled as an internal integration mechanism (I_H) that ensures E-functional coherence across a sequence of observational states (\Sigma_E^H(t_k))_{k \in \mathbb{N}}. This structure establishes a serial order (t_k < t_{k+1}) where the "past" is a continuous, irreducible core of meaning. In contrast, we show that LLMs lack an internal temporal operator. Their "temporality" is a functional artifact of the input context; the "past" does not exist as a phenomenological history but as a set of static tokens (\Sigma_E^M) within the current state. Applying TNA, we demonstrate that while humans require a non-derivable support core to integrate time, LLMs operate in a purely functional present. This formal asymmetry proves that LLMs do not "experience" time; they merely process sequences, whereas human temporal coherence is a load-bearing structural necessity.