Mathematicians' feud over AI accuracy sparks fears for future of scientific discovery

A public dispute between mathematicians is intensifying concerns that artificial intelligence could undermine the integrity of scientific research. The clash centers on the reliability of AI-generated discoveries, which have recently produced impressive results in fields ranging from protein folding to mathematical theorem proving. However, critics warn that without rigorous verification, these tools risk flooding the literature with plausible but unproven claims. The controversy has drawn attention from leading researchers and institutions, highlighting a growing divide over how much trust to place in machine learning systems. As AI becomes more embedded in the scientific process, the debate raises urgent questions about reproducibility, peer review, and the very definition of scientific knowledge. The outcome could shape funding priorities and publication standards for years to come.