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    Home»Tools»The personhood trap: How AI fakes human personality
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    The personhood trap: How AI fakes human personality

    onlyplanz_80y6mtBy onlyplanz_80y6mtAugust 28, 2025No Comments2 Mins Read
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    Illustration of many cartoon faces.
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    Information emerges from understanding how concepts relate to one another. LLMs function on these contextual relationships, linking ideas in doubtlessly novel methods—what you may name a kind of non-human “reasoning” via sample recognition. Whether or not the ensuing linkages the AI mannequin outputs are helpful relies on the way you immediate it and whether or not you may acknowledge when the LLM has produced a worthwhile output.
    Every chatbot response emerges recent from the immediate you present, formed by coaching information and configuration. ChatGPT can not “admit” something or impartially analyze its personal outputs, as a current Wall Road Journal article steered. ChatGPT additionally can not “condone homicide,” as The Atlantic just lately wrote.
    The person at all times steers the outputs. LLMs do “know” issues, so to talk—the fashions can course of the relationships between ideas. However the AI mannequin’s neural community incorporates huge quantities of knowledge, together with many doubtlessly contradictory concepts from cultures around the globe. The way you information the relationships between these concepts via your prompts determines what emerges. So if LLMs can course of data, make connections, and generate insights, why should not we contemplate that as having a type of self?

    Not like at this time’s LLMs, a human character maintains continuity over time. While you return to a human pal after a 12 months, you are interacting with the identical human pal, formed by their experiences over time. This self-continuity is among the issues that underpins precise company—and with it, the flexibility to type lasting commitments, preserve constant values, and be held accountable. Our total framework of accountability assumes each persistence and personhood.
    An LLM character, against this, has no causal connection between periods. The mental engine that generates a intelligent response in a single session does not exist to face penalties within the subsequent. When ChatGPT says “I promise that will help you,” it might perceive, contextually, what a promise means, however the “I” making that promise actually ceases to exist the second the response completes. Begin a brand new dialog, and you are not speaking to somebody who made you a promise—you are beginning a recent occasion of the mental engine with no connection to any earlier commitments.

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