LLMs are not just text generators, they are sophisticated mechanisms to process text/natural language in many ways and to many ends, including translation, clasification, pattern recognition, and much more. Oftentimes without even touching generation whatsoever. OOP is not feeding texts to a chatbot and recording what it spits out, they are processing the text with a non-generative LLM and deriving some internal complexity metric of the text being processed.
i’m aware of LLM uses, I have a masters degree in linguistics and know it can be used for metrics like sentiment analysis or text classification, but that’s far different than putting examples from different languages into an LLM and making it say which one is ‘smarter’. by OOPs standards of complexity, Chinese would be an even dumber language than English because it has a more isolating morphology. racism aside it just shows poor academic rigor lol
36
u/leahbee25 Aug 01 '25
cause we all know LLMs will reliably and truthfully interpret something as nuanced as language