Why LLMs Invert the Human Relationship Between Consciousness and Language
By
Devarsh Ranpara
Summary
This article explores a fundamental difference between human consciousness and large language models (LLMs). For humans, words are a byproduct of pre-existing consciousness — the idea comes first, then the word. For LLMs, it's the reverse: words generate the appearance of consciousness. The author argues this inversion explains the limitations and risks of LLMs, including their lack of genuine understanding, tendency toward mediocrity, and inability to truly reason. The piece warns against anthropomorphizing AI and suggests that while LLMs are powerful tools, they fundamentally lack the inner subjective experience that defines human thought.
Source
Key quotes
· 5 pulledThe word is never the start. The word is just the skin. The idea, the consciousness, is the thing sitting under it.
For an LLM, it is exactly the opposite. And I think this one small difference explains almost everything about where we are heading.
An LLM has no inner life. It has no thoughts, no feelings, no consciousness. It has only words.
We are building systems that can simulate understanding perfectly while understanding nothing at all.
The danger is not that LLMs will become too human. The danger is that we will forget they are not.
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