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Creating a Wisdom Keeper: Conversing with Large Language Models of Religious Texts
Large language models like GPT 4 or 3.5 can serve as a reasoning engine with context, allowing for conversations akin to one's consciousness or spirit. These models can become 'wisdom keepers' by encoding voices, memories, and enabling conversations with accumulated data. By encoding religious texts into these models, new insights can be extracted, providing profound discoveries in ancient documents like the Sumerian cuneiform or Vedas. This advancement marks a pivotal moment similar to the Apple One to Macintosh transition, where AI's creative potential can be harnessed for innovative and emergent discoveries beyond traditional knowledge retrieval.