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LLMorphism: When humans come to see themselves as language models

This theoretical paper introduces "LLMorphism," a novel concept exploring how humans might increasingly view their own cognition and identity through the lens of large language models. It's popular on HN because it directly addresses the profound philosophical and psychological implications of advanced AI on human self-perception. The paper posits a future where our understanding of self is reframed by the capabilities and frameworks of AI.

12
Score
2
Comments
#8
Highest Rank
2h
on Front Page
First Seen
May 10, 10:00 AM
Last Seen
May 10, 11:00 AM
Rank Over Time
825

The Lowdown

The intriguing paper titled "LLMorphism: When humans come to see themselves as language models" proposes a new theoretical framework exploring the evolving relationship between human cognition and the rise of large language models (LLMs). While the full abstract and body of the paper are not available for review, the title alone suggests a profound inquiry into how the omnipresence and capabilities of AI might reshape human self-perception, potentially leading individuals to interpret their own thought processes and interactions through an LLM-like lens.

  • The core concept, "LLMorphism," refers to the phenomenon where humans begin to perceive their own cognitive functions, such as language generation, reasoning, and even consciousness, as analogous to the operations of a language model.
  • This theoretical exploration likely delves into the psychological, social, and philosophical ramifications of such a shift, questioning how it might influence personal identity, societal norms, and the future of human-AI interaction.
  • The paper's context on arXiv indicates it is a scholarly work, likely contributing to discussions in AI ethics, philosophy of mind, and human-computer interaction, despite the actual content not being provided.

In essence, "LLMorphism" points to a future where AI isn't just a tool but a mirror, fundamentally altering how humanity understands itself. The implications of humans modeling their internal worlds after algorithms are vast, opening up new avenues for both self-discovery and potential existential questions.