Biologists Cheat: Great. That Bodes Well for the Future

August 26, 2026

green-dino_thumb_thumbAnother dinobaby post. No AI unless it is an image. This dinobaby is not Grandma Moses, just Grandpa Arnold.

One of my colleagues sent me a link to “Preprint Estimates Widespread AI Assistance in Biomedical Papers.” Since I believe everything I read on the Internet, I will assume that the data in this write up is spot on. The article states: “Lena Holzwarth, Rita González-Márquez and Dmitry Kobak, analyzed 1,194,287 full-text papers in PubMed Central.”

What did these researchers discover? The write up says:

The authors track changes in the frequency of words that became more common after the widespread availability of large language models. Their method compares observed vocabulary with a counterfactual trend from earlier years, then estimates the share of papers showing excess LLM-associated vocabulary. For papers published in December 2025, the estimate was 89%. The paper reports that the signal was more common in Discussion paragraphs than in Methods paragraphs: 68% versus 32% in length-matched samples. The authors also report that more than half of Methods sections showed the signal when assessed as a whole. That figure should not be read as a count of papers written entirely by AI. It is a statistical estimate of LLM-associated vocabulary in the study’s open-access PubMed Central corpus. It cannot, on its own, establish how much assistance any individual author used or whether that assistance affected the underlying research.

My dinobaby interpretation of this passage is, “Big wigs writing about biological research use AI… a lot?”

Thanks, MidJourney. Good enough.

Is this surprising? For me, the data indicate that good enough AI is definitely good enough to demonstrate an academic-type research qualifies to be:

  1. A grant recipient
  2. A professor tagged to get tenure or an endowed chair (Hey, faking data landed one dude a gig as the president of Stanford… for a while)
  3. A consulting project with a big pharma outfit (Clinical trial data need this type of expert plus some AI to go along with their computational chemistry models)
  4. A book contract for a 100 percent humanoid written book (ghost writers are okay as are graduate students)

Since Satya Nadella explained that Microsoft was into AI in 2022, the availability of search systems linked with generative text functions have become the go-to systems for those who don’t want to do real work. The use of AI is gussied up in fancy language, jargon, and fancy intellectual dancing about efficiency. From my point of view, these systems appear to make work easier; however, there is something to be said for taking a list of 640 companies, identifying 200 that are made up or out of business, and then working through the remaining 400 odd companies to identify the dozen or so that are actually making money. Smart software choked on this project.

What was the fix? Manual inspection. Days of manual inspection by two competent information specialists.

Who wants to do that? MBAs? You have to be kidding me. Busy Harvard ethics professors? Ho ho ho. Lawyers? Hey, if we get fined the client pays for our hours. High school students? Absolutely.

The reasons for this lemming like charge off the knowledge mountain are easy to identify and label. How about this list for starters:

  1. I used smart software to fill in a few details, not write the paper
  2. I used AI to double check my original work
  3. I had two higher priority tasks. These I did myself, but let AI do the lower priority work
  4. I am stupid and smart software allows me to be smart.

We have smart software running in my office. I have tested Qwen, Gemini, and other models. I have pounded queries into services available from Anthropic, Mistral, OpenAI, Perplexity, and xAI, among others. The most reliable way to deal with smart software is cautiously. The quirky bike rider at Bear Blog insisted that my write ups about the most interesting aspects of Telegram were generated by AI. Sorry, dude. Stick to your saddle. I abandoned that service. I am not sure AI can duplicate my approach to writing about the online activities of interest to me.

Net net: Making lots of people feel smart when they are not putting in the work to master information is not a recipe for success. I am glad I am not a college student listening to a lecture output by ChatGPT and recycled via a 26 year old adjunct professor who claims AI is going to end human life on earth. Being stupid will do that. AI just is a helper.

Stephen E Arnold, August 26, 2026

Comments

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