AI Revolutionizing the Art of Theological Hermeneutics: Reimagining Large Language Models Through Serres's Theory of Angels

This paper applies Michel Serres's angelology to interpret Large Language Models (LLMs). We examine how LLMs, like Serresian angels, function as mediators existing in ontologically ambiguous states -- present yet ideally transparent. Both wield transformative power while remaining vulnerable to corruption when visibility overtakes faithful transmission. LLMs embody angelological dimensions: mediating between computational and semantic realms, creating new conceptual networks, and bridging virtual-physical domains. This framework reveals LLMs as mediators that challenge epistemology and reconfigures human-divine communication, offering new directions for theological engagement with AI.