posted in Technology
How Claude marks AI-generated content: (1) watermarks embedded in text, and (2) signed provenance metadata attached to files.
support.claude.com/en/articles/16266773-how-claude-marks-ai-generated-content
support.claude.comHow Claude marks AI-generated content | Claude Help Center
Replying to @eicker@lemmy.world
1. Embedded watermarks in text
When a supported Claude model generates text, it weaves an imperceptible watermark directly into the text itself. You won’t see it, and it doesn’t change the meaning, quality, or readability of Claude’s response.
Because the watermark is part of the text, it will travel with the text when it’s copied and pasted elsewhere, and may persist through some editing. Watermarking will be applied at the model level, which means it will be present no matter which Claude product or surface the text comes from.
Can someone ELI5 how this would actually work, especially with copying and pasting?
Replying to @Prox@lemmy.world
You know how these AIs output tokens? I’m going to explain the concept with words, because that makes it easier to understand. But it means that the explanation is [ETA:]NOT quite right.
An AI has a vocabulary. The words in that vocabulary are assigned to 2 groups.
Sometimes when the AI is outputting something, it could use different words equally well. It’s not quite the same as having synonyms, cause this isn’t really about words. But let’s say you have synonyms in those different groups. At those points in the text, you can pick from one group or the other to embed a hidden pattern in the text.
Limitations are obvious. To embed the watermark, you need enough opportunities to pick “synonyms”. It won’t work for very short texts, or if the word choices are very constrained.
I’m curious if the negative effects are really as minor as they say.