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Adversarial Social Epistemology for Assemblies of Humans and Large Language Models

This paper outlines a theoretical framework for analyzing how information is shared and potentially distorted in environments where humans interact closely with large language models.

Impact
30/100
Current rank score
14.13
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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