Replying to tolot

I guess that flagging and filtering out images is very expensive, because you need to use classic or ML based computer vision models. I cannot think to a cheaper way to do it. Plus, training a CNN to filter CSAM material means collecting such a dataset and training it. Training it means putting the images on a training environment...probably AWS or others, which would put you in a dangerous position...

Something may already exist out there, but certainly that is more complex than just filtering text.

LLMs are not the best tool for that probably
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crany 👽🧡🗿 1y ago

thanks. perhaps a simple blacklist service NIP could help. one that just stores the media and note references as text

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tolot 1y ago

That is a start, yes. Somewhere someone still have to recognize the malevolent content btw. Plus, if I set up script that loads into a relay thousands of copies of the same pic, every pic will have a different note reference, thus filters would have to store a large amount of note references for one pic.

Probably flagging accounts is way easier

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crany 👽🧡🗿 1y ago

I'd ideally like 2 settings to: 1)filter notes and direct media refs, and 2) also mute accounts as 2nd option. #dreams