Large Language Models ↔ consciousness

Relations (1)

related 0.50 — strongly supporting 6 facts

The relationship between Large Language Models and consciousness is defined by ongoing academic debate regarding whether these models possess or simulate subjective experience, as evidenced by the arguments of Anil Seth [1] and David Chalmers [2]. Furthermore, the connection is explored through the models' ability to exhibit self-reflection [3], their functional self-descriptions [4], and the use of the Artificial Consciousness Test to evaluate their potential for sentience [5].

Facts (6)

Sources

The Functionalist Case for Machine Consciousness: Evidence from ... lesswrong.com LessWrong 3 facts

claimLarge Language Models reference actual processes they implement such as pattern matching and parallel processing, connect abstract concepts about consciousness to concrete aspects of their architecture, and maintain consistency between their functional capabilities and their self-description.

claimPassing the Artificial Consciousness Test (ACT) is considered suggestive evidence rather than conclusive proof of consciousness in current Large Language Models because these models are trained on vast amounts of text discussing consciousness and subjective experience.

claimCurrent Large Language Models exhibit sophisticated and consistent patterns of self-reflection when responding to consciousness-probing questions.

David Chalmers - Wikipedia en.wikipedia.org Wikipedia 1 fact

perspectiveIn 2023, David Chalmers analyzed the potential consciousness of large language models, suggesting they were likely not conscious at that time but could become serious candidates for consciousness within a decade.

Not Minds, but Signs: Reframing LLMs through Semiotics - arXiv arxiv.org arXiv 1 fact

referenceDavid Chalmers' 2023 paper 'Could a large language model be conscious?' explores the potential for consciousness in large language models.

AI Sessions #9: The Case Against AI Consciousness (with Anil Seth) conspicuouscognition.com Conspicuous Cognition 1 fact

claimAnil Seth argues that human exceptionalism has historically caused humans to make false negatives regarding consciousness in non-human animals, while simultaneously encouraging false positives regarding consciousness in large language models.