Read the following passage carefully and choose the option that provides the most accurate and comprehensive summary of the central argument presented by the author. Ensure the chosen option captures the core logical progression without omitting essential nuances or introducing external information.

The application of large language models to the field of hermeneutics—the theory and methodology of interpretation—presents a paradox for contemporary scholarship. On one hand, these models possess an unparalleled capacity to identify cross-referential patterns and linguistic nuances across vast corpora of text, performing a mechanical exegesis that would take human scholars lifetimes to complete. However, the hermeneutic circle traditionally requires an interpreter to possess a lived historical consciousness and a subjective horizon of understanding, both of which are absent in silicon-based architectures. While AI can simulate the syntax of interpretation, it lacks the ontological grounding necessary for true semantic insight. Consequently, the role of the AI in textual analysis is likely to remain that of a sophisticated philological tool rather than an autonomous interpretive agent, as meaning-making remains an inherently human, experiential endeavor.

Options:

(A) AI will soon replace human scholars in the field of hermeneutics because its ability to identify linguistic nuances far exceeds the capacity of the human mind.

(B) AI offers transformative potential for textual exegesis through massive pattern recognition, but its lack of subjective historical consciousness suggests it will remain a tool for human interpretation rather than becoming an independent interpreter.

(C) The hermeneutic circle proves that large language models are entirely useless for textual analysis because meaning cannot be found through mechanical simulation alone.

(D) Because meaning-making is inherently human, large language models should be banned from hermeneutic scholarship to preserve the ontological grounding of textual interpretation.