甚至有人研究某个问题的传闻,就会引发大量 AI 驱动的攻题行动,在原研究项目充分展开前将其压平。 他认为激励可能转向不再与社区分享有前景的方向,这会逆转数百年的开放科学传统并对领域未来造成长期损害。 Simon Willison 引述了这段话。
我最近写过关于优秀、富有成效的未解问题集合现正以不可再生的方式被挖掘,这可能导致这些问题变得稀缺的情景。[...]
我们现在已经看到,即使只是有人在研究某个问题的传言,也可能触发大量由AI驱动的努力,在原始研究项目还没来得及发挥其全部潜力之前就将其扫平。激励机制现在可能指向不再与更广泛的社区共享任何有前景的研究方向,这将颠覆几百年来开放科学的传统,并对该领域的未来造成严重的长期损害。
— 特伦斯·陶:https://mathstodon.xyz/@tao/117237320796901560
这是由Simon Willison收集的一段引言,发表于2026年9月9日:/2026/Sep/9/.
I wrote recently about how the collection of good, fruitful open problems is now being mined in a non-renewable fashion, leading to the potential scenario of these problems becoming scarce. [...]
We have now seen that even the rumor of someone working on a problem can trigger a massive amount of AI-powered effort to flatten it before the original research project has time to reach its full potential. The incentives may now be pointing in the direction of no longer sharing any promising research directions with the broader community, which would reverse centuries of traditions of open science and do serious long-term damage to the future of the field.
— Terence Tao:https://mathstodon.xyz/@tao/117237320796901560
This is a quotation collected by Simon Willison, posted on 9th September 2026:/2026/Sep/9/.