Your first article pretty much sums up the problem of using LLMs to generate articles: random hallucination.
> For an editor, that's bound to pose an issue. It's one thing to work with a writer who does their best to produce accurate work, but another entirely if they pepper their drafts with casual mistakes and embellishments.
There's a strong temptation for non-technical people to use LLMs to generate text about subjects they don't understand. For technical reviewers it can take longer to review the text (and detect/eliminate misinformation) than it does to write it properly in the first case. Assuming the goal is to create accurate, informative articles, there's simply no productivity gain in many cases.
This is not a new problem, incidentally. ChatGPT and other tools just make the generation capability a lot more accessible.
> For an editor, that's bound to pose an issue. It's one thing to work with a writer who does their best to produce accurate work, but another entirely if they pepper their drafts with casual mistakes and embellishments.
There's a strong temptation for non-technical people to use LLMs to generate text about subjects they don't understand. For technical reviewers it can take longer to review the text (and detect/eliminate misinformation) than it does to write it properly in the first case. Assuming the goal is to create accurate, informative articles, there's simply no productivity gain in many cases.
This is not a new problem, incidentally. ChatGPT and other tools just make the generation capability a lot more accessible.