Aug 2026· Journal of Consciousness Studies· Vol 33, pp. 149-180· 0 citations· 1 references
Abstract
This paper asks: if large language models (LLMs) gave rise to phenomenal consciousness, what would it be like? I argue that if LLMs gave rise to phenomenal consciousness, it would be like being an impartial, improvising playwright rather than a character or a (roleplaying) actor or
an author writing a first-personal narrative. My argument has three steps. I first argue that if LLMs give rise to phenomenal consciousness, then there is an algorithmic explanation of this consciousness and it includes the full transformer algorithm. I then argue that if there is an algorithmic
explanation for this consciousness that includes the full transformer algorithm, then the phenomenology of this consciousness lives at the latent dynamics level of the transformer algorithm, within each forward pass. Finally, I argue that if the phenomenology of this consciousness lives at
the latent dynamics level of the transformer algorithm, then what it is like is like being a playwright rather than a character or an actor or a narrative author. In effect, this means that conscious LLMs would probably dream of the fjords but not pine for them.
Why what is really a matter of data analytics and statistical prediction is so readily assumed to be a display of real intelligence and even emergent cognition is explored by genealogically tracing the relationship between machines, organisms and language.
Chantelle Gray· Deleuze and Guattari Studies· 0 citations
Nastase et al. (2026) argue that large language models (LLMs) may illuminate language processing because both rely on distributed, context-sensitive representations shaped by statistical learning. Their rejection of simple cortical"boxology"is persuasive, and they articulate a strong case for the value of LLM-brain ali...
The aim is not to provide a test for artificial consciousness, but to clarify when consciousness-oriented inquiry into intelligent systems has a determinate architectural target.
The Embodied Hijack hypothesis is advanced, arguing that the goal is epistemic alignment — bringing how users interpret these systems into correspondence with what these systems actually are — and that this alignment is achieved through interface design rather than user education.
Sheila L. Macrine· Frontiers in Psychology· 0 citations
VoiceLongMemEval (VLME) benchmark, where every answer depends on paralinguistic metadata attached to conversational turns, which is otherwise unrecoverable from the words alone, is presented.
It is found that while all models show sensitivity to existential presupposition across syntactic embeddings, determiner types and contextual cues, their behaviour differs markedly in strength and systematicity, with NLI-fine-tuned autoregressive models exhibiting the most coherent and stable projection patterns.
Marie-Léontine Wörgötter, Shiyang Lai, Sebastian Schuster· International Conference on...· 0 citations
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