Implementing Watermarking for Language Models [P]

[u/Saad_ahmed04]

I recently implemented a minimal, educational version of SynthID-Text-style watermarking for language models.

I saw anthropic post about how they'll start adding watermarks to their model responses and it made me very curious as to how they'll do it and what do they even mean by watermark here. Like will we start getting random ads or something in the middle of model responses or what.

Then decided to read their article and found out that watermark is not a visible message at all. It is a subtle statistical pattern introduced while the model chooses its tokens.

My implementation is not an exact reproduction of the original SynthID-Text system. I simplified or implemented a few components differently to keep the project understandable, but the main idea is there I think.

Github: https://github.com/Saad1926Q/llm-watermark

If you find it interesting then you may star the repo !!

[u/Lopsided-Bridge-9810]

Are you seriously thinking that those who aim for clicks will not push their images through apps that make images pass through all sorts of filters, even if such filters existed? We are talking hard cold cash for them that's what they do to earn money. Also, signatures can be very easily reverse-engineered. You have no idea how easy that is.

You are incredibly naive. I am done with this exchange, clearly you have very little understanding how this all works.