📄 中文摘要
构建了一个开源的 AI 内容检测器，该系统通过分析文本的困惑度、句子的突发性和图像频率模式来区分 AI 生成的内容与人类创作的内容。该工具将多种检测信号结合成一个置信度评分，能够在不依赖大量数据的情况下实现合理的准确性。通过对不同特征的综合分析，系统能够有效识别出潜在的 AI 内容，满足内容审核和真实性验证的需求。
我如何从零开始构建一个 AI 内容检测系统
出处: How I Built an AI Content Detection System from Scratch
发布: 2026年2月19日
📄 English Summary
How I Built an AI Content Detection System from Scratch
An open-source AI content detector has been developed that analyzes text perplexity, sentence burstiness, and image frequency patterns to differentiate between AI-generated content and human-created content. The tool combines multiple detection signals into a confidence score, achieving reasonable accuracy without relying on extensive datasets. By integrating various features, the system effectively identifies potential AI content, addressing the needs for content moderation and authenticity verification.