Marking student project reports. On checking the references I found many are made up, presumably by AI. When I query AI about them it gives a fake summary of the made up references. 🤯
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My friend Prof Andrea Sella, returns his Faraday Medal to Royal Society in disgust about the lack of action about Elon Musk - on.ft.com/4kDYwbS via @FT
Had the pleasure of watching "Insane Asylum Seekers" in Bush Theatre.
Great performance and such a packed narrative about being British-Iraqi. I was between tears and laughter the whole way through. ❤️😭
www.bushtheatre.co.uk/event/insane...
I was in the mood to explore the scope and vibe of different journals so I got DeepSeek to summarise and more importantly, to throw some shade on them - rather amusing! 🤭😝
Though I shan't divulge which journals and what shade 🙊
And yes, the same might be used to write articles but we can much more easily and rapidly review and reproduce a study (in my field). Reviews are so long - would referees be able to catch the overly positive and not sufficiently critical writings of an LLM? Gosh, I hope so. 🧐
LLMs regurgitate an overly positive account of *everything working wonderfully* which unscrupulous parties may use to turbo write a review, thus transforming tentative statements into 📢LOUD CLAIMS📢
Each paper typically ends with a few tentative implications that we already know err on being positive. We might take these with a small pinch of salt and deduce caveats on a critical reading of the methods and results. The LLM is of course not doing any of that, AND then...
Reading review papers, I am becoming more concerned that with large language models, review papers might be especially easy to generate and they would contribute a whole lot more noise in the scientific literature 😶🌫️ Consider this: