LLMs now write lots of science. Good

The article discusses the increasing use of large language models (LLMs) in writing scientific papers, with 10% of abstracts in scientific journals and 20% in the field of computer science being written by these AI models. The adoption is even higher among Chinese computer scientists, reaching a third. However, there are concerns that this could lead to a surge in poor-quality papers, introduce biases, increase plagiarism, and disrupt the scientific publication process. Some journals have imposed strict disclosure requirements for the use of LLMs, but these attempts are seen as futile and misguided as LLMs are difficult to regulate.

Despite the concerns, many scientists find benefits in using LLMs. The article argues against the fear of LLMs, stating that attempts to police their use are not only futile but also misguided. It suggests that the use of AI in scientific writing can make science faster and better, and encourages a more lucid and easier writing style. The article concludes by highlighting the need for a balanced approach to the use of AI in scientific writing.

Key takeaways:

10% or more of abstracts for papers in scientific journals now appear to be written at least in part by large language models, with the figure rising to 20% in fields such as computer science.
Among Chinese computer scientists, a third of papers appear to be written by large language models.
There are concerns that the use of these models could lead to an increase in poor-quality papers, biases, and plagiarism.
Despite these concerns, many scientists find that the use of large language models brings real benefits to their work.

LLMs now write lots of science. Good

Key takeaways:

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