SYNTHESIS NOTE
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Do LLMs gain true linguistic agency through integration?

Explores whether LLMs can develop genuine linguistic agency—the capacity to be embodied, stake-bearing participants in meaning-making—as they become embedded in human language practices, or whether this requires fundamental architectural changes.

Synthesis note · 2026-02-21 · sourced from Linguistics, NLP, NLU

Two theoretical frameworks reach apparently contradictory conclusions about LLM language use. The Understanding AI (Schneider 2024) view: LLM social grounding increases gradually as LLMs are integrated into linguistic practices — analogous to children acquiring language community membership through participation. The more LLMs function as communicative partners, the more elementary social grounding they acquire. The enactive view ("Large Models of What?" 2024): linguistic agency requires embodiment, participation, and precariousness — properties "likely incompatible in principle with current architectures." The absence is categorical.

The apparent contradiction dissolves when the two views are recognized as naming different properties:

Social grounding (Schneider): a functional-social property acquired through participation in language games (Wittgenstein). It is relational — a matter of how the LLM is positioned in discourse practices by the communities that use it. This can increase through integration because the positioning changes even if the LLM does not.

Linguistic agency (enactive view): a constitutive property requiring the agent to be embedded in a world through a body, to have stakes in communicative outcomes (precariousness), and to participate in meaning-making as a reciprocal process. This cannot increase through integration because integration changes how others relate to the LLM, not whether the LLM has a body or precarious existence.

Both can be simultaneously true: LLMs acquire more social grounding as they are integrated AND remain categorically non-linguistic-agents in the enactive sense. The first is a claim about community practices; the second is a claim about constitutive architecture.

Since Does semantic grounding in language models come in degrees?, this distinction maps onto the grounding taxonomy: social grounding is the dimension that increases through use; enactive linguistic agency is the dimension that requires architectural change no amount of use can provide.

Inquiring lines that read this note 37

This note is a source for these research framings, grouped by the broader line of inquiry each explores. Scan the bold lines of inquiry; follow any specific question forward.

Can AI systems participate in genuine communication or only simulate it? What distinguishes genuine communicative competence from surface language performance? Is embodied interaction necessary for language meaning and agency? Do language models reason through disagreement or only accommodate it? Can real-time working alliance measurement improve therapy outcomes? How do philosophical assumptions about AI consciousness affect practical harms and design? Can models develop genuine introspective capability, or only mimic it? Can LLMs distinguish between linguistic form and semantic meaning? Can language models reliably simulate personas and predict behavior? What prevents LLMs from applying their reasoning knowledge to improve outputs? What structural patterns sustain successful multi-turn dialogue and prevent breakdown? How do interpretive frames override surface features in text comprehension? How do writers navigate authorship and delegation with AI?

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Original note title

social grounding and linguistic agency are distinct properties — llms acquire more of the former through integration while categorically lacking the latter