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Large Language Models Are Drunk at the Wheel (matt.si)

submitted 8 months ago by [email protected] to c/[email protected]

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[–] [email protected] 4 points 8 months ago (1 children)

This is the reason I balk at personifiing these things with human terms. It sounds cool but it is both inaccurate and misleading especially in the hands of the media and the general public.

[–] [email protected] 1 points 8 months ago* (last edited 8 months ago) (1 children)

The dilemma is, ChatGPT can write better reports than most graduate school students in my country. For what these problematic vast majority of students do is remember, not analyze.

Specifically for this context, students are not trained to analyze what they are asked (input query for ChatGPT). When I ask a unique question in their assignment, they can't even form a response. They just write a generic text that doesn't try to answer my question.

They seem to copy and paste what's in their brain. And when it comes to copy and pasting, i.e. mimicking what people do, ChatGPT is the champion in some sense. Hell, OpenAI even tuned it to generate balanced stance, and that's also what students can't do.

Finally, 90% of the population perform actually worse than these graduate students.

[–] [email protected] 2 points 8 months ago

It is sad, but most people seem to go to school for certification not learning. Use to grade when in grad school... the lazy sloppy work was nuts. Working for a company... the terrible writing some people do even with advanced degrees.