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Research paper explores 'mind' in large language models

A new research paper titled "Where is the Mind? Persona Vectors and LLM Individuation" explores the philosophical question of whether large language models (LLMs) possess minds. The paper, authored by Pierre Beckmann, proposes three potential views for identifying minds within LLMs: the virtual instance view, the instance-persona view, and the model-persona view. It argues that attention streams within LLMs create quasi-psychological connections, supporting the virtual instance view, while also presenting the persona literature as a basis for the other two views. AI

IMPACT Explores philosophical questions about LLM consciousness and internal structures, potentially influencing future AI safety and interpretability research.

RANK_REASON Research paper published on arXiv discussing LLM individuation and persona vectors. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Research paper explores 'mind' in large language models

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Research paper published on arXiv discussing LLM individuation and persona vectors. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Pierre Beckmann, Patrick Butlin ·

    Where is the Mind? Persona Vectors and LLM Individuation

    arXiv:2604.17031v3 Announce Type: replace Abstract: The individuation problem for large language models asks which entities associated with them, if any, should be identified as minds. We approach this problem through mechanistic interpretability, engaging in particular with rece…