In 2022, Hugo Duminil-Copin, a recipient of the prestigious Fields Medal, faced an emotional upheaval when OpenAI publicly released 722 AI-generated mathematical manuscripts, 16 of which delved into his long-standing area of research. Earlier, he had likened the influence of AI-generated proofs to that of a nuclear detonation. OpenAI's latest large-scale release has been characterized by numerous mathematicians as a 'carpet-bombing' of the field. These manuscripts encompass 372 result families and 377 novel proofs, predominantly generated by OpenAI's yet-to-be-published internal models. Following the release, inaccuracies were detected in some of the content, prompting OpenAI to retract three flawed papers. Experts emphasize that the essence of mathematical research transcends the mere final proofs; it also encompasses the new concepts, tools, interdisciplinary connections, and intuitive insights amassed by the academic community throughout the exploratory journey. AI's direct provision of proofs may bypass this crucial process, potentially impeding the developmental path of young researchers, constraining their research inquiries, jeopardizing their career trajectories, and possibly eroding the culture of open discourse within the mathematical community. Moreover, AI-generated proofs have displayed instances of 'alien mathematics,' where concepts seldom associated before are merged, and reasoning patterns diverge from human norms. This trend could extend to other research domains, such as physics and chemistry, fundamentally transforming the landscape of scientific discovery.