Anthropic为Claude新模型文本添加隐形水印
Anthropic is adding invisible watermarks to text from new Claude models.
Anthropic is adding invisible watermarks to text from new Claude models.
Anthropic 正在为来自新 Claude 模型的文本添加不可见水印。
Because marking happens at model level, supported outputs carry it across Claude products, the API, Claude Code, and major cloud platforms worldwide.
由于标记是在模型层面进行的,受支持的输出会携带该标记,涵盖 Claude 产品、API、Claude Code 以及全球主要云平台。
The watermark is woven directly into generated text, allowing it to travel through copying and sometimes survive editing.
水印直接嵌入生成的文本中,使其能够随复制传播,有时甚至能在编辑后保留。
This is because, Anthropic signed the EU's voluntary Code of Practice on Transparency of AI-generated Content, whose measures help implement Article 50's legally binding marking requirement.
这是因为 Anthropic 签署了欧盟关于 AI 生成内容透明度的自愿行为准则,该准则的措施有助于实施第 50 条具有法律约束力的标记要求。
Claude models launched in the EU on or after August 2, 2026 support marking at launch, with supported output marked worldwide.
2026 年 8 月 2 日或之后在欧盟推出的 Claude 模型在发布时支持标记,受支持的输出在全球范围内均带有标记。
Supported SVG, PNG, and JPG files use signed C2PA provenance metadata, which can indicate Claude processing and whether that metadata was altered.
受支持的 SVG、PNG 和 JPG 文件使用带签名的 C2PA 来源元数据,可指示 Claude 处理过程以及该元数据是否被更改。
Anthropic's own detection support is still in development, with technical documentation forthcoming for users and third parties.
Anthropic 自身的检测支持仍在开发中,面向用户和第三方的技术文档即将发布。
A detected mark cannot prove Claude originally authored the material, because Claude may have edited, translated, or summarized human-created content.
检测到的标记不能证明材料最初由 Claude 创作,因为 Claude 可能编辑、翻译或总结了人类创作的内容。
Missing marks prove little either, since heavy rewriting, short passages, older models, unsupported surfaces, or stripped file metadata can erase the signal.
缺少标记也说明不了什么问题,因为大量改写、短文本、旧模型、不支持的界面或剥离的文件元数据都可能抹除信号。
For publishers and platforms, the system adds useful provenance evidence. Its practical value will depend on how resistant the text watermark is to paraphrasing once Anthropic publishes the detector and technical method.
对于出版商和平台而言,该系统增加了有用的来源证据。 其实际价值将取决于文本水印在 Anthropic 发布检测器和技术方法后对改写的抵抗能力。
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