
The Frontier
Study argues AI makes scientists do more research — but worse, not better
A new theoretical paper argues the real risk of AI in science isn't that models make mistakes — it's that they make researchers' time too valuable to spend polishing anything. Even a perfect LLM, the authors say, could push scientists toward shallow output. A team from Princeton, the University of Washington and elsewhere has built a mathematical case that saving scientists' time with LLMs may degrade the quality of science even when the models work flawlessly. Their paper on arXiv…










