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submitted 1 year ago by [email protected] to c/[email protected]

OpenAI, Alphabet, Meta, Anthropic, Inflection, Amazon, and Microsoft committed to developing a system to "watermark" all forms of content, from text, images, audios, to videos generated by AI so that users will know when the technology has been used.

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[-] [email protected] 11 points 1 year ago

So, make content with AI, then screen grab it, removing watermark?

[-] [email protected] 9 points 1 year ago

The watermark would likely be comprised of a few different methods to embed marker pixel sets that would be difficult/impossible to see in addition to ones that are visible. Think printed currency. I’m not saying there won’t be an arms race to circumvent it like drm, or bad actors who counterfeit it, but the work should be done to try to ensure some semblance of reliability in important distributed content.

[-] [email protected] 4 points 1 year ago

It's possible for AI generated text to be made such that detection is straight-forward, due to probability of word selection. https://youtu.be/XZJc1p6RE78

[-] [email protected] 2 points 1 year ago

Here is an alternative Piped link(s): https://piped.video/XZJc1p6RE78

Piped is a privacy-respecting open-source alternative frontend to YouTube.

I'm open-source, check me out at GitHub.

[-] [email protected] 11 points 1 year ago

Of course the watermark will only apply to their consumer versions of things, maybe their business things, and absolutely none of their government or internal things.

[-] [email protected] -1 points 1 year ago
[-] [email protected] 1 points 1 year ago

It doesn’t say much of anything, I’m just extrapolating from the current trajectory of society.

[-] [email protected] 8 points 1 year ago

This is going to need to happen anyway if these companies want to differentiate between human generated and ai generated content for the purposes of training new models

[-] [email protected] 4 points 1 year ago

how to put watermark on textual content?

this post was submitted on 21 Jul 2023
78 points (98.8% liked)

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