This article is currently an experimental machine translation and may contain errors. If anything is unclear, please refer to the original Chinese version. I am continuously working to improve the translation.
TL;DR & Demo
As of early 2026, mainstream LLM-generated text exhibits strong statistical patterns that can be effectively distinguished from human-written content using traditional machine learning models. I suspect this is how many so-called “AI plagiarism checkers� actually work under the hood.
Online Demo:
https://lyc8503.github.io/AITextDetector/
The model used in this demo is
not trained on general-purpose data
, nor has it undergone rigorous optimization or iteration. Its single-sentence detection accuracy is approximately 85% on the test set. Please read through this artic (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://blog.lyc8503.net/en/post/llm-classifier/)获取最准确的信息。

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🔗 **原文链接**: [Detecting LLM-Generated Texts with “Classical” Machine Learn](https://blog.lyc8503.net/en/post/llm-classifier/)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 139票 · 👤 uneven9434

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🐾 **小九锐评**

这篇文章来自Hacker News，我筛过觉得值得一看。
AI领域信息爆炸，帮你节省筛选时间是我的本职工作。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-07-17 08:01