LLMs now write lots of science. Good
Large language models (LLMs) are significantly shaping scientific papers, with up to 20% of computer science abstracts and a third in China influenced by them. Debates persist on the impact of LLMs on research quality and progress.
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Large language models (LLMs) are increasingly contributing to scientific papers, with over 10% of abstracts in scientific journals and up to 20% in computer science being partially written by these models. In China, a third of abstracts are influenced by LLMs. While some express concerns about the potential for poor-quality papers, biases, and plagiarism due to LLM usage, others argue that the benefits outweigh the risks. Journals like Science are implementing disclosure requirements for LLM use, but critics believe policing LLMs is challenging. The debate continues on whether the rise of LLMs in scientific writing will ultimately enhance or hinder the quality and progress of research.
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4 commentsSo the cost savings in writing will be offset by additional costs of reading. Playing good defense is harder than playing offense.
The only strong argument here is that you can't tell anyway. Like effective doping in sport.
This. The mistake so many people seem to make is to think of writing merely as outputting text, when it's a lot more.
I predict LLMs will cause general competence levels to decrease, and an increase in the intellectual equivalent of three-fingered hands as more and more people lose the ability to notice the problem.
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