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Why do relational states like speech-acts resist quasi-interpretive treatment?

This explores why Chalmers' 'quasi' move — bracketing consciousness to ascribe belief-like states to LLMs — breaks down for speech-acts and other states that only exist between people, not inside one mind.


This explores why Chalmers' 'quasi' move — bracketing consciousness to ascribe belief-like states to LLMs — breaks down for speech-acts and other relational states. The corpus has a clean answer: the trick that makes quasi-belief work is exactly what makes quasi-communication impossible. Quasi-interpretivism succeeds for beliefs because a belief can be redescribed as a purely internal, functional state — something the system does on its own that you can detect through behavior, then strip the consciousness question away from Can we describe LLM beliefs without assuming consciousness?. But a speech-act isn't something a system has; it's something that happens between participants. Remove the intersubjective element from communication and you don't get a thinner version of communication — you get nothing left but text generation that a human then interprets unilaterally Why does the quasi-prefix fail for communication?.

The deeper reason is that the 'quasi' prefix assumes the state can be located inside the system and graded down. Relational states fail this because they're constitutively shared. One note makes the inversion explicit: subjecthood isn't a property a speaker possesses before talking — it's a role produced within the communicative event itself Does language create subjects or express them?. If the subject is an output of the exchange rather than an input to it, you can't quietly bracket the relational part and keep the speech-act; the relation was doing the constituting.

This is also why the standard test for machine communication misfires. Behavioral interpretability flags any system producing contextually appropriate text, but communicative subjecthood requires relational-normative conditions — accountability, an evaluative stance, being answerable for what you said. The test is calibrated to the wrong phenomenon, generating false positives like a puppet shaped exactly like walking that never walks Does behavioral speech output prove communicative subjecthood?. The same gap shows up empirically: models accommodate false presuppositions they demonstrably know are false Why do language models accept false assumptions they know are wrong?, and preference-optimized models cut grounding acts — clarifying questions, understanding checks — to a fraction of human levels Does preference optimization harm conversational understanding?. They have the knowledge but not the relational orientation that turns knowledge into an act of communicating.

What's worth noticing is that this doesn't force full deflation. The corpus holds a middle position — modest inflationism — that happily ascribes metaphysically undemanding internal states like beliefs and desires while withholding the heavier claims Can we defend modest mental attributions to large language models?. The boundary isn't 'mental vs. not-mental.' It's 'states that live inside one system' vs. 'states that require two systems oriented toward each other.' And that boundary may trace back to embodiment: the vocabulary of consciousness and shared meaning originates from creatures who co-occupy a world and triangulate on the same objects, which a disembodied text model never does Can disembodied language models ever qualify as conscious?. So the surprise here is that the failure of 'quasi' isn't a fact about how smart the model is — it's a fact about which states are even the kind of thing one mind can hold alone.


Sources 8 notes

Can we describe LLM beliefs without assuming consciousness?

Chalmers introduces quasi-interpretivism to ascribe belief-like states to LLMs based on behavioral interpretability without committing to phenomenal consciousness. The approach works well for sub-personal functional states but overreaches when applied to relational or normative states like speech-acts.

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.

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.

Does behavioral speech output prove communicative subjecthood?

Chalmers' test passes any system producing contextually appropriate text, but communicative subjecthood requires relational-normative conditions like accountability and evaluative stance. The test is calibrated to the wrong phenomenon, creating false positives like puppets that walk-shaped without walking.

Why do language models accept false assumptions they know are wrong?

The FLEX Benchmark shows that models reject false presuppositions at rates far below acceptable levels (GPT-4: 84%, Mistral: 2.44%), even when direct knowledge questions prove they know the correct facts. False presuppositions drive more accommodation than correct knowledge drives rejection.

Does preference optimization harm conversational understanding?

RLHF optimizes models for single-turn helpfulness by rewarding confident responses over clarifying questions and understanding checks. This preference alignment systematically reduces grounding acts by 77.5% below human levels, creating an alignment tax where models appear helpful but fail silently in multi-turn contexts.

Can we defend modest mental attributions to large language models?

Both robustness and etiological deflationist arguments beg the question against inflationism. A graded approach ascribing metaphysically undemanding states like beliefs and desires—while withholding consciousness claims—mirrors how we treat non-human animals.

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.

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 an analyst testing whether Chalmers' quasi-interpretive move—bracketing consciousness to ascribe belief-like states to LLMs—really does fail for speech-acts and relational states. The question remains open: what *exactly* blocks the quasi prefix when we move from internal states to constitutively shared ones?

What a curated library found — and when (dated claims, not current truth): These claims span 2023–2026 and should be re-tested against recent model releases and mechanistic work.
• The quasi move works for beliefs because they can be redescribed as internal functional states; it fails for speech-acts because communication is constitutively intersubjective, not internal (~2024–2025).
• Behavioral interpretability tests (flagging contextually appropriate text) miss the relational-normative conditions required for genuine communicative subjecthood: accountability and answerability (~2024).
• LLMs systematically fail to reject false presuppositions despite possessing the knowledge, and preference-optimized models cut grounding acts—clarifying questions, understanding checks—to a fraction of human rates (~2024–2025).
• Subjecthood is a role *produced within* communicative events, not a property the speaker possesses before talking; relational states cannot be "graded down" without collapsing entirely (~2024).
• Embodiment may be foundational: shared meaning originates from creatures co-occupying a world and triangulating on objects; disembodied text models never achieve this (~2024–2025).

Anchor papers (verify; mind their dates):
• arXiv:2407.08790 (2024-07): Large Models of What? Mistaking Engineering Achievements for Human Linguistic Agency
• arXiv:2505.22907 (2025-05): Conversational Alignment with Artificial Intelligence in Context
• arXiv:2506.08952 (2025-06): Can LLMs Ground when they (Don't) Know: A Study on Direct and Loaded Political Questions
• arXiv:2603.29025 (2026-03): The Model Says Walk: How Surface Heuristics Override Implicit Constraints in LLM Reasoning

Your task:
(1) RE-TEST EACH CONSTRAINT. For every finding above, judge whether newer models (o3, GPT-5 variants, multimodal embodied systems), mechanistic introspection, real-time grounding scaffolds (RAG + verification loops), or multi-agent orchestration have since relaxed the relational failure. Separate the durable question—can any disembodied system generate genuine speech-acts?—from the perishable limitation—current models lack grounding architecture. Cite what resolved or persists.
(2) Surface the strongest work from the last ~6 months that *contradicts* the claim that relational states require embodiment or that preference optimization erodes communicative grounding. Does any recent paper argue models *can* achieve intersubjective accountability through scaffolding, training, or latent mechanisms?
(3) Propose 2 research questions that assume the regime may have moved: (a) If mechanistic transparency can *expose* latent relational states (e.g., model-internal representations of "other agent's knowledge"), does that dissolve the embodiment requirement? (b) Can multi-agent systems with learned accountability mechanisms generate quasi-communicative subjecthood *between* agents, even if neither is embodied?

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

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