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@blakestacey@awful.systems

Post #1362121

2026-04-07 06:22 UTC

> LLM capabilities have not improved at all in terms of producing meaningful science in the last year or two, but their ability to produce *meaningless* science that *looks* meaningful has wildly improved. I am concerned that this will present serious problems for the future of science as it becomes impossible to find the actual science in a sea of AI slop being submitted to journals. https://www.reddit.com/r/Physics/comments/1s19uru/gpt_vs_phd_part_ii_a_viewer_reached_out_with_a/

Replies (4)

  • I've seen this story play out in software engineering: people were very impressed when the AI does unexpectedly well in one out of 50 attempts on an easy task, and so people decided to trust it for everything and turn their codebases into disasters. There was no great wave of new high-quality software. Instead, the only real result was that existing software has become far more buggy and insecure. Now we have people using AI in science and math because it was impressive in random demonstrations of solving math problems. I now have friends asking me why I'm not using AI, and also saying that AI will be better than all mathematicians in 30 years or whatever. Do you really think I refuse to use AI out of ignorance? No, I know too much about it! I have seen the same story play out in software engineering, and what makes this any different?

    Open ##1362178

  • @blakestacey@awful.systems 2026-04-07 21:45

    "Scientists invented a fake disease. AI told people it was real" https://www.nature.com/articles/d41586-026-01100-y > But if, in the past 18 months, you typed those symptoms into a range of popular chatbots and asked what was wrong with you, you might have got an odd answer: bixonimania. > > The condition doesn’t appear in the standard medical literature — because it doesn’t exist. It’s the invention of a team led by Almira Osmanovic Thunström, a medical researcher at the University of Gothenburg, Sweden, who dreamt up the skin condition and then uploaded two fake studies about it to a preprint server in early 2024. Osmanovic Thunström carried out this unusual experiment to test whether large language models (LLMs) would swallow the misinformation and then spit it out as reputable health advice. “I wanted to see if I can create a medical condition that did not exist in the database,” she says. > > The problem was that the experiment worked too well. Within weeks of her uploading information about the condition, attributed to a fictional author, major artificial-intelligence systems began repeating the invented condition as if it were real.

    Open ##1362179

  • @pikesley@mastodon.me.uk 2026-04-07 07:19

    [@blakestacey](https://awful.systems/u/blakestacey) [@BlueMonday1984](https://awful.systems/u/BlueMonday1984) "AI HAS SOLVED THE SCIENCE-GENERATION CRISIS"

    Open ##1362180

  • @zogwarg@awful.systems 2026-04-07 06:45

    The replausibility crisis.

    Open ##1362181