I've seen a student using ChatGPT for almost everything in his PhD (in engineering). You have some data but you don't know what kind of statistical analysis tool to use? Ask ChatGPT. Code for the analysis? ChatGPT. How do you interpret the results? ChatGPT.
And so on. I could bet that some of his scientific questions where generated, and that's no surprise to me, it's just SO easy this way and if the PhD advisor just says "ok that's good" and no one ever complain during the PhD defense then for sure this will keep going.
But regarding OP's link, when Lemire says I kept my mouth shut. I am never rude on purpose. You can't say that and complain that academia "is blown to bits". It's your responsibility as a scientist to step up and say that some research is garbage when you see it.
Maybe it wasn’t garbage, maybe it’s just gotten significantly easier because the hard parts have gotten less hard. Search is solved, prose is solved, reasoning is… assisted at least. What he wasn’t being rude about was bursting his colleague’s bubble about AI generated work in general.
> It's your responsibility as a scientist to step up and say that some research is garbage when you see it.
The only case I personally know of someone doing that during their PhD didn't end well.
My friend couldn't replicate the results from a known professor in the field, asked for the data + model to re-run because he assumed his own work was wrong and wanted to benchmark against the known study. Got stonewalled for more than a year, brought it up with supervisors because he started getting the feeling the results were tampered and the professor didn't want to be found out. He pushed it but got ridiculed by the professor's university ethics committee.
After a couple of years he could show that the research was at least sketchy and he depended on that model/results for his own work, he lost 2 years of research and completely left academia after finishing the PhD (delayed by almost 2 years).