看起来要发生了。
Looks like it is happening

原始链接: https://www.math.columbia.edu/~woit/wordpress/?p=15500

最近的数据表明,arXiv 的 hep-th(高能物理理论)类别的投稿量大幅增加,过去几个月几乎是往年同期的两倍。 这一增长与人工智能生成研究论文能力的提高相吻合。 作者推测,根据萨宾·霍森费尔德的分析,现成的人工智能可能会向该领域涌入“平庸”的论文,加剧学术出版中数量超过质量的现有问题。 作者本人虽然不愿使用人工智能,但提出人工智能可以*被用于*分析这一趋势——识别人工智能生成的论文,并对情况进行详细评估。 作者欢迎实质性的讨论,但将对评论进行审核,重点关注相关性和事实准确性,不会仅仅根据评论是人类生成的还是人工智能生成的进行过滤。

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原文

For a while now I’ve been speculating about what would happen when AI agents started being able to write papers indistinguishable in quality from those that have been typical of the sad state of hep-th for quite a while. Sabine Hossenfelder today has AI Is Bringing “The End of Theory”, in which she gives her cynical take that the past system of grant-holding PIs using grad students/postdocs to produce lots of mediocre papers with the PI’s name on them is about to change dramatically. Once AI agents can produce mediocre papers much more quickly than the grad students/postdocs, then anyone can play and we’ll get flooded by such papers from not just those PIs, but everyone else.

I decided to take a look at the arXiv hep-th submissions, and quickly generated the following numbers, by simple searches using
https://arxiv.org/search/advanced
to find all hep-th submissions in various date ranges.

For 12/1 to 12/31 the numbers were
2022: 634
2023: 684
2024: 780
2025: 1192

For 1/1 to 2/1
2022:583
2023:531
2024:626
2025:659
2026:1137

For 2/1 to 2/15
2022:299
2023:266
2024:271
2025:333
2026:581

From this very limited data it looks like submission numbers in the last couple months have nearly doubled with respect to the stable numbers of previous years.

I thought about spending more time I don’t have lookng into this, then realized “this is a job for AI!”. Surely an AI agent could do a lot better job than me in gathering such data, figuring out things like whether you can recognize the AI agent papers or not, and writing up a detailed analysis. I’m still resisting learning how to use AI agents, so someone else will have to do this.

One of my main problems with the comments here has been that it’s increasingly hard to tell the difference between human and AI generated ones. In this case, maybe the AI generated ones would be better than those from meatspace. So, unless you have something really substantive (like an explanation for why these numbers don’t mean what it looks like they mean, or know what the arXiv is doing about this) please resist commenting. I’ll moderate comments for things like irrelevance and hallucinations, but won’t delete comments just because they are non-human.

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