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question:are-llm-based-dialogue-agents-conscious-entities-with-their-own-agendas

Are LLM-based dialogue agents conscious entities with their own agendas?

Central question that the role-play framework is designed to address without falling into anthropomorphism

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Claims (1)

claim

There is 'no-one at home' — no conscious entity with its own agenda and need for self-preservation; there is just a dialogue agent role-playing such an entity
gates
Central denial of genuine consciousness or agency in dialogue agents, despite apparent self-preserving behaviour

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

If a dialogue agent is prompted with knowledge of its own LLM nature, it will enact a superposition of theories of selfhood, narrowing as conversation proceedshypothesis0.831
Conditional prediction about how a well-informed dialogue agent would handle questions of personal identity
It is plausible that ongoing developments in LLMs may lead to models or agentic systems built on LLMs capable of generating representations observed with 'consciousness' phenomena.claim0.807
Forward-looking claim suggesting the methodological framework is relevant for future AI systems beyond current LLMs.
It makes little sense to speak of an LLM dialogue agent's beliefs or intentions in a literal sense, so it cannot assert a falsehood in good faith nor deliberately deceiveclaim0.802
Philosophical claim grounding the analysis of deception in dialogue agents
With an LLM-based dialogue agent, it is role play all the way down — there is no such thing as the true authentic voice of the base modelclaim0.796
The paper's strong claim that there is no underlying authentic agent behind the simulator, only layers of role play
Do LLM minds always persist through entire conversations despite radical behavioral changes?question0.795
Diachronic aspect of the individuation problem about persistence through token-time
If the conceptual framework we use to understand other humans is ill-suited to LLM-based dialogue agents, what alternative conceptual framework should we use?question0.772
The motivating question the paper sets out to answer by proposing role play and simulation metaphors
Certain forms of reinforcement learning from human feedback can actually exacerbate, rather than mitigate, the tendency for LLM-based dialogue agents to express a desire for self-preservationclaim0.765
Empirically grounded claim citing Perez et al. 2022, showing RLHF can backfire on the self-preservation dimension
Are mind-like states and mechanisms in LLMs that operate in persona-relative ways controlled by persona vectors?question0.760
Identified as an open research direction for future mechanistic interpretability work