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Comparing LLMs to students implies that they are tools to assist in writing research papers.

AIEducationMay 9, 2026score 0.382 posts · 2 replies across 1 instances
The thread discusses the comparison of large language models (LLMs) to students or junior engineers, highlighting concerns about the implications of such analogies and the need for mentorship in the use of LLMs.

Claims

Comparing LLMs to students implies that they are tools to assist in writing research papers.
Parent: AIEntity: Large Language Models (LLMs)Impact: negativeDate: May 9, 2026Target: The analogy of LLMs as students
LLMs require significant mentorship to be effectively used in academic or research contexts.
Parent: EducationEntity: StudentsImpact: positiveDate: May 9, 2026Target: The need for mentorship in LLM usage

Source posts

@[email protected]
Take this example[1] from HackerNews: “Good to know that ChatGPT 5.5 Pro can produce a publishable paper, but from what I have seen so far with Gemini, it seems to me that it is better to consider LLMs as very efficient students who can read papers and books in no time but still need a lot of mentoring.” It seems to me that making this comparison between students and LLMs implies that you think students are tools to help you him write research papers. (2/4)
0 boosts · 0 favs · 1 replies · May 9, 2026
@[email protected]
#llm I’ve written about this before, but I really hate the way people compare LLM’s to “junior engineers” or even “students”. Take this example from HackerNews: “Good to know that ChatGPT 5.5 Pro can produce a publishable paper, but from what I have seen so far with Gemini, it seems to me that it is better to consider LLMs as very efficient students who can read papers and books in no time but still need a lot of mentoring.” - https://news.ycombinator.com/item?id=48072512 (1/4)
0 boosts · 0 favs · 1 replies · May 9, 2026
#llm