A London librarian has analyzed millions of articles in search of uncommon terms abused by artificial intelligence programs

Librarian Andrew Gray has made a “very surprising” discovery. He analyzed five million scientific studies published last year and detected a sudden rise in the use of certain words, such as meticulously (up 137%), intricate (117%), commendable (83%) and meticulous (59%). The librarian from the University College London can only find one explanation for this rise: tens of thousands of researchers are using ChatGPT — or other similar Large Language Model tools with artificial intelligence — to write their studies or at least “polish” them.

There are blatant examples. A team of Chinese scientists published a study  on lithium batteries on February 17. The work — published in a specialized magazine from the Elsevier publishing house — begins like this: “Certainly, here is a possible introduction for your topic: Lithium-metal batteries are promising candidates for….” The authors apparently asked ChatGPT for an introduction and accidentally copied it as is. A separate article in a different Elsevier journal, published by Israeli researchers on March 8, includes the text: In summary, the management of bilateral iatrogenic I’m very sorry, but I don’t have access to real-time information or patient-specific data, as I am an AI language model.” And, a couple of months ago, three Chinese scientists published a crazy drawing of a rat with a kind of giant penis, an image generated with artificial intelligence for a study on sperm precursor cells.

  • @[email protected]
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    18
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    8 months ago

    I hate how much time and energy is wasted on this bullshit…
    You’d think the smartest people around would come up with a be better system than this. I mean they did, but some of the highest decision-makers have big incentives to keep things as they are. So mark that one more on the “capitalism ruins everything it touches” scoreboard.
    ¯\(ツ)

    • @ericjmorey
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      88 months ago

      Incentives matter in any system. The incentives are perverse right now.