It was a week that left mathematicians reeling(感到震惊，不知所措). Hot on the heels of(紧随其后) a flurry(一阵，一连串) of cases of artificial intelligence furthering the field, OpenAI declared a major scalp(战利品，胜利): its latest AI model had cracked a Millennium Prize Problem(千禧年大奖难题), a puzzle with a $1m reward that had defied(难倒，使…无法) human brains for decades.
这是让数学家们头晕目眩的一周。紧随人工智能推动该领域发展的一连串案例之后，OpenAI 宣布了一项重大战果：其最新 AI 模型攻克了一个千禧年大奖难题——一个悬赏 100 万美元、数十年来难倒人类智慧的谜题。
The achievement bore little resemblance to(与…几乎没有相似之处) how mathematical problems normally fall. A near-trillion dollar private company had unleashed(释放，发动) 10,000 agents – AI systems that carry out tasks autonomously(自主地) – on the problem. The bill(账单，费用) was estimated at $15m.
这一成就与数学问题通常被解决的方式几乎毫无相似之处。一家市值近万亿美元的私营公司向这个问题投入了 1 万个智能体——即能自主执行任务的 AI 系统。账单估计高达 1500 万美元。
The trajectory(轨迹，发展路径) towards AI capable of superhuman(超越人类的) maths has long been clear, but to nail such a substantial(重大的，实质性的) problem so swiftly sent shock waves through(引发冲击波) the field. Mathematicians are asking what will be left for them if works in progress are hoovered up(被攫取，被吸收) and claimed by others, and how they should train the next generation when even fiendish(极难的，棘手的) assignments can be solved at the press of a button(一键之遥，轻而易举).
AI 走向超越人类数学能力的轨迹早已清晰，但如此迅速地攻克一个如此重大的问题，还是在数学界引发了冲击波。数学家们不禁要问：如果正在进行的研究被他人轻易攫取并据为己有，他们还能剩下什么？当连最棘手的作业都能一键解决时，他们又该如何培养下一代？