zlacker

We need this for all ML-generated content. Especially for text.

There must be some industry labeling standard?

>>esafak+(OP)
How do you enforce that with a copy paste of ASCII text? I'm not against disclosure/attribution, but it'd be voluntary.

>>mc32+m
Zero-width spaces :)

>>dullcr+u1
So what you're saying is the second tool in everyone's pipeline will be one that removes hidden characters?

>>mc32+m
https://arxiv.org/abs/2301.10226

> We propose a watermarking framework for proprietary language models. The watermark can be embedded with negligible impact on text quality, and can be detected using an efficient open-source algorithm without access to the language model API or parameters.

Alpaca uses this already.

>>esafak+(OP)
I want to see a classifier that takes text and can check the sources to see if the information is accurate. And another model that takes text and rates how much “well-written” it is: bonus points for terseness and clarity.

That way either the AI generated text gets flagged by the classifiers, or the AI generated text is genuinely high-quality and I want it.

>>esafak+(OP)
Not sure why you are getting down voted, idea makes sense

>>esafak+(OP)
And then use AI to remove the watermark. The perfect circle.