Feynman coined the term "cargo cult science" during a commencement address. This term describing research that is aimed at confirming an assumed hypothesis became more widely known after the address was incorporated into the final chapter of his book Surely You're Joking, Mr. Feynman! Methods which superficially seem scientific will ultimately fail to deliver if researchers lack "utter honesty" - not just avoiding falsehoods, but bending over backwards to state all the possible flaws in your research. The latter is scientific integrity, the former is advertising.
Feynman argued adamantly against fooling the layman when talking about your research. He gives an example of an astronomer friend who asked what applications of his work he should mention in a radio interview. Feynman retorted "there aren't any" and the friend was dismayed because saying that would not attract continued funding support for his research.
This message remains relevant today, especially with increasing competition for grant funding and faculty positions, high impact journals with strict length limits, and big conferences with short talks. Even when we agree with being honest and discussing flaws in our research in principle, excuses inevitably come up:
"I don't have time to discuss limitations - I only have 10 minutes including questions."
"My peers who publish in Top Journal all start their papers this way - it's the only way to make it past the editor."
"Unless I frame my proposal in terms of this Grand Challenge it will not be funded."
"I have to play this game until I get tenure, and then I will be free to do honest old-fashioned research."
"I just need this grant so I can extend my postdoc's contract..."
The end result: Paper introductions and grant applications written by large language models, because they can sell the science in a more exciting way (weasel words can be inserted to smooth over overt factual errors). Seminars where the speaker boldly claims application X in the introduction, only to backtrack when questioned after the talk (lucky there was an expert present to point out a key flaw known by specialists in the topic). Researchers wasting months on ideas that were already tried and didn't work (no rewards for publishing negative results).