安永发布了一份充满幻觉的网络安全报告。
EY Canada published a cybersecurity report and most citations were hallucinated

原始链接: https://gptzero.me/investigations/ey

在之前对学术会议投稿的分析中,我们发现许多作者主要利用人工智能来生成和格式化参考文献,这使得论文在引用上表现得“有模有样”,但整体的 AI 生成文本分数并不高。然而,在《攻击点》(Points of Attack)中很难发现人类留下的痕迹——甚至比在领英(LinkedIn)上寻找人工撰写的文章还要困难。这些文本不仅一眼就能看出是 AI 生成的,而且充斥着大语言模型常见的错误,例如虚假统计数据、错误归因以及前后矛盾。

抱歉。
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原文

During our previous analysis of academic conference submissions, we found that many authors primarily used AI to generate and format their references, resulting in papers with vibed citations but low AI text scores overall.

However, it’s hard to find human fingerprints in Points of Attack — harder, even, than finding a human-written LinkedIn post. Not only does the text scan as AI-generated, it’s riddled with common LLM errors like fake statistics, misattributions, and internal contradictions.

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