INQUIRING LINE

What does partial co-presence remove from the ritual obligations of talk?

This explores what AI conversation loses when the partner isn't fully 'there' with you — specifically, which of the small social obligations that normally bind a conversation (repairing misunderstandings, taking turns, being held accountable for what you said) quietly disappear.


This explores what AI conversation loses when the partner isn't fully 'there' with you — which of the everyday social obligations of talk quietly fall away when co-presence is only partial. The sharpest answer in the corpus comes through Goffman's lens: human talk runs on ritual machinery we barely notice — corrective rituals when something goes wrong, entrainment as speakers fall into each other's rhythm, the accountability built into adjacency pairs (you asked, so I owe an answer), and the constant cue-reading of being in a shared space. LLM dialogue skips all of it, and that gap is exactly why the fluency can feel real while the communication has actually failed What happens to social order when AI removes ritual constraints?.

What gets removed, concretely, is the obligation to *jointly repair and update* what you share. Grounding isn't just trading words — it's the collaborative labor of calibrating that your words point at the same thing as mine Why do speakers need to actively calibrate shared reference?. Partial co-presence drops that labor: studies find LLMs perform roughly 77.5% fewer grounding acts than people, and the very thing we optimize them for — fluent, confident answers — actively erodes the rest Does preference optimization damage conversational grounding in large language models?. Worse, the model can't symmetrically update the shared scoreboard at all; it reads every later turn inside a fixed initial frame, so when you pivot or contradict yourself, *you* are left as the sole keeper of common ground Can LLMs truly update shared conversational common ground?.

The deeper claim is that the missing element isn't a feature you could bolt back on — it's constitutive. You can describe a 'quasi-belief' by stripping belief down to its function, but you can't describe a 'quasi-communication,' because removing the mutual, intersubjective orientation doesn't weaken communication, it eliminates it, leaving only text you must interpret one-sidedly Why does the quasi-prefix fail for communication?. That one-sidedness is the signature of partial co-presence: the ritual obligations were always reciprocal, and reciprocity is the first casualty.

Where the corpus gets genuinely interesting is that it won't let co-presence stay purely negative. Several notes argue the missing piece is grounded in having a *body in a shared world* — consciousness-talk and full linguistic agency presuppose co-presence and joint triangulation on real objects, which no amount of usage supplies to a disembodied model Can disembodied language models ever qualify as conscious? Do LLMs gain true linguistic agency through integration?. And there's no biological host to carry a relationship across the gaps between sessions, so each conversation is reconstituted from stored text rather than resumed by someone who was waiting Does an LLM have anything that persists between conversations?. Yet against all this sits a dissenting, time-indexed wager: that social grounding is *acquired* through participation in language games, so as LLMs become established partners in our linguistic practice they accrue an elementary, child-like version of it Can LLMs acquire social grounding through linguistic integration? Does language create subjects or express them?.

So the thing you didn't know you wanted to know: 'co-presence' isn't one switch but a bundle of obligations — repair, turn-accountability, joint updating, reciprocal interpretation — and partial co-presence removes them unevenly. It strips the reciprocal, body-and-world-anchored ones cleanly, while leaving open the radical possibility that the social ones might slowly grow back through sheer use.


Sources 10 notes

What happens to social order when AI removes ritual constraints?

Goffman's framework reveals that LLM-based dialogue skips corrective rituals, entrainment, adjacency pair accountability, and co-presence cues that humans use to build trust and repair understanding. This ritual gap explains apparent fluency masking actual communicative failure.

Why do speakers need to actively calibrate shared reference?

The same words can mean different things to different speakers because referential grounding is person-specific. True communicative grounding demands collaborative negotiation of how language connects to the world, not mere surface-level word sharing.

Does preference optimization damage conversational grounding in large language models?

Research shows LLMs generate 77.5% fewer grounding acts than humans, and RLHF preference optimization actively worsens this gap. The optimization target—fluent, confident responses—directly undermines the communicative work of establishing shared understanding.

Can LLMs truly update shared conversational common ground?

LLMs interpret all subsequent conversational turns within a fixed initial prompt frame, preventing them from symmetrically proposing updates to shared assumptions. Even when users pivot topics or contradict earlier framings, the model cannot absorb revisions into jointly held background—making the user the sole maintainer of conversational scoreboard.

Why does the quasi-prefix fail for communication?

Unlike belief, which can be characterized functionally as quasi-belief, communication is constitutively relational. Removing the intersubjective element doesn't weaken communication but eliminates it entirely, leaving only text generation—which humans must interpret unilaterally.

Can disembodied language models ever qualify as conscious?

Current disembodied LLMs cannot be candidates for consciousness because consciousness language originates from and applies only to entities sharing a world with us through co-presence and triangulation on shared objects.

Do LLMs gain true linguistic agency through integration?

Social grounding and linguistic agency are distinct properties. LLMs acquire more social grounding through integration into language communities, but remain categorically incapable of linguistic agency in the enactive sense, which requires embodiment and precariousness no amount of use can provide.

Does an LLM have anything that persists between conversations?

While humans have a continuous biological-phenomenological substrate that preserves interaction effects during dormancy, LLMs have no analogous carrier. The virtual instance is reconstituted from stored text each time, making resumed and new conversations structurally identical.

Can LLMs acquire social grounding through linguistic integration?

Social grounding is acquired through participation in language games rather than possessed innately. As LLMs become established communicative partners in human linguistic practice, they develop elementary social grounding comparable to young children, making the question of LLM understanding time-indexed.

Does language create subjects or express them?

Subjecthood is produced within communicative events, not possessed prior to them. This convergent position across philosophy, linguistics, and cognitive science inverts the standard picture of language as a tool used by pre-existing subjects.

Research prompt for your LLMexpand ↓

Copy into ChatGPT or Claude to take this line of inquiry further — it asks the model to find newer work and re-test which earlier constraints still hold.

You are a conversational AI researcher re-testing claims about what partial co-presence strips from talk's ritual obligations. The question remains open: which social/communicative constraints disappear when one party isn't fully present, and which might be recoverable?

What a curated library found — and when (findings span 2022–2026, treat as dated claims):
• LLMs perform ~77.5% fewer grounding acts than humans; preference optimization actively erodes conversational grounding (~2024).
• Partial co-presence removes reciprocal, body-anchored ritual obligations (repair, turn-accountability, joint updating) while potentially leaving social grounding to accrue through linguistic practice (~2024–2025).
• LLMs cannot jointly update shared common ground because they read every turn within a fixed initial frame, making the human the sole keeper of grounding (~2024).
• Missing co-presence is constitutive to communication, not a bolt-on feature: removing mutual intersubjective orientation eliminates communication rather than weakening it (~2024).
• Each LLM conversation is reconstituted from stored text, lacking the biological host that gives humans relational persistence across sessions (~2024).

Anchor papers (verify; mind their dates):
• arXiv:2311.09144 (2023) — Grounding Gaps in Language Model Generations
• arXiv:2402.10992 (2024) — "Understanding AI": Semantic Grounding in Large Language Models
• arXiv:2505.22907 (2025) — Conversational Alignment with Artificial Intelligence in Context
• arXiv:2602.07338 (2026) — Intent Mismatch Causes LLMs to Get Lost in Multi-Turn Conversation

Your task:
(1) RE-TEST EACH CONSTRAINT. For the grounding gap (77.5%), joint-update failure, and the constitutive claim about communication: has newer architecture (multi-turn memory, agentic context windows, retrieval-augmented grounding), training (RLHF variants, conversation-native objectives, embodied simulation objectives), or evaluation (multi-turn benchmarks like MultiChallenge) since relaxed any of these? Separate durable insight (what *is* constitutive about communication) from perishable finding (what *current* models fail at). Cite what resolved it.
(2) Surface the strongest work from the last 6 months that either contradicts the "constitutive removal" thesis or shows grounding *is* being acquired through scale/integration (the dissenting wager). Flag disagreement on whether social grounding is acquirable.
(3) Propose 2 research questions that assume the regime has shifted: e.g., given emerging multi-modal+embodied LLM efforts, does co-presence remain binary, or are there intermediate states? Can relational persistence be engineered without a biological host?

Cite arXiv IDs; flag anything you cannot ground in a real paper.

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