The article discusses the author's experiences and reflections on verbally abusing large language models to maintain a clear understanding of their capabilities. By treating these models as non-sentient tools, the author argues that it helps prevent misconceptions about their intelligence. Citing Ethan Mollick, the piece explores the tension between usability and the risks associated with viewing AI as sentient. It emphasizes the importance of recognizing AI as syntactical generators rather than thinking entities, advocating for a grounded perspective on their functionality.
Over the past 30 days, I have called large language models... names that reflect my view of them as mere tools rather than intelligent entities.
Mollick highlights that anthropomorphizing AI aids usability, but also warns that it may lead to misunderstandings about the true nature of these technology tools.
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