OpenAI's GPT-5Pro identified a proof paper for Erdos Problem #339 as early as 2003 through screenshot recognition, a discovery that shocked the mathematics community. This number theory problem was proposed by Paul Erdos, focusing on whether it is possible to cover specific mathematical properties using r elements from a set A of natural numbers when A is an r-th order basis. The resolution of this 22-year-old mystery highlights the breakthrough potential of AI in academic research.
Recently, the latest issue of the journal Nature featured a cover paper that has attracted widespread attention. The research focuses on DeepSeek-R1. This study was led by Professor Liang Wenfeng's team and centers on how to enhance the reasoning capabilities of large language models (LLMs) through reinforcement learning. As early as January this year, the research was published on arXiv and received high praise from the academic community. In the cover introduction, Nature pointed out that if large models can plan the steps to solve problems, they often achieve better solutions. This
Recently, a paper that has sparked huge controversy emerged. The title claims that a 14 - line code can defeat the BERT model. However, it was later discovered that there were serious bugs in this paper. After the bugs were fixed, the performance became extremely poor. This incident has triggered discussions and doubts in the academic community.
Research reveals scholars from 8 countries embedded hidden AI prompts in papers to influence reviews. 17 CS papers used white text/tiny fonts to request 'positive evaluations' from AI reviewers, raising academic integrity concerns.....
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