How many digital minds can dance on the streaming multiprocessors of a GPU cluster?

Some of the technical details of the implementation of modern AI systems raise novel questions about computational functionalism. In particular, GPU clusters processing large language models often interweave the computations for many different chat responses. If the computations underlying these lan...

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Detalles Bibliográficos
Publicado en:Synthese Vol. 206; no. 5; pp. 1 - 23
Autor principal: Shiller, Derek
Formato: Artículo
Publicado: Springer Nature Nov2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2025
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        10.1007/s11229-025-05310-1
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        au: Shiller, Derek
        affil: Rethink Priorities, 51 Stratford Rd, Apartment B5, Brooklyn, NY, USA
      su:
        Consciousness
        Language models
        Artificial intelligence
        Graphics processing units
        Self
        Conscious automata
        Cognition
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        subj:
          Consciousness
          Language models
          Artificial intelligence
          Graphics processing units
          Self
          Conscious automata
          Cognition
      keyword: Computationalism, Functionalism, Interweaving, Personal identity, Consciousness
      ab: Some of the technical details of the implementation of modern AI systems raise novel questions about computational functionalism. In particular, GPU clusters processing large language models often interweave the computations for many different chat responses. If the computations underlying these language models were to give rise to consciousness when run in isolation, it is not clear what to make of their status when they are interwoven. This paper draws on debates in the personal identity literature to present two alternative options, one in which many minds can be interwoven in one GPU cluster, and one on which at most a single mind can exist. Each position is coherent and it is not clear how to resolve the central issues. This is likely to be a source of further uncertainty about consciousness in production AI setups.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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          year: 2025
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