Comment I'm curious... (Score 1) 27
However, as we've had the misfortune to see in our inboxes and the powerpoint decks that get inflicted on meetings; people tend to generate more of what is easy to generate; and scientists often get rewarded(in terms of hiring/tenure track; grant funding, etc.) for apparent productivity. The most extreme exploitation of 'AI' for this has proven somewhat nontrivial to combat(the various shit-tier journals and paper mills that add noise to the literature and allow the dishonest to pad their resumes existed back when they relied on human labor; but systems that are good at high speed production of plausible-looking output have thrown them into overdrive); but even if you focus entirely on honest actors doing real science in good faith, if the bots are genuinely useful but only for non-novel work; that seems like a situation where you've just created an incentive toward focusing on low-novelty work and toward seeing the scientists doing the most bot-friendly stuff as the most productive; while those who venture beyond the scope of its abilities are putting out papers by hand and appear much less productive.
Science has often had a slightly ambivalent relationship with novelty(you probably won't end up being remembered as a rock god unless you do come up with something really cool; but initial reception can be downright chilly: look at the career trajectory of someone like Barbara McClintock and transposons. Worked out for her in the end, Nobel in 1983; but that was for work that people were actively disinterested in when she did it in the mid 40s to 50s; and not everyone gets brought in from the cold before the point is moot); but it's probably not going to help if, wholly aside from cranky old guys controlling tenure committees and grant allocation, people who hew quite closely to data that LLMs have already chewed over genuinely crank out research substantially faster than people who venture further afield.