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Applying Heidegger’s Theory of Hermeneutics to Artificial Intelligence Language Models
by Matthew Parish

Applying #Heidegger’s hermeneutics to the art of prompting leads to a paradoxical conclusion: the best way to instruct an AI is not to instruct it too much. Instead, one should listen through the act of questioning.

https://www.lvivherald.com/post/applying-heidegger-s-theory-of-hermeneutics-to-artificial-intelligence-language-models

Applying Heidegger’s Theory of Hermeneutics to Artificial Intelligence Language Models

By Matthew ParishThe emergence of large language models (LLMs) has transformed the human relationship with language itself. These systems, capable of producing vast and subtle bodies of text, now serve as participants in an interpretive dialogue that once belonged solely to human beings. To understand how one might most effectively prompt such a system—that is, how to elicit meaning, coherence and truth from a machine trained upon human expression—it is fruitful to revisit Martin Heidegger’s the

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