For any printer. You never know what it's doing without a firewall solution. USB is always the safest option.
umami_wasbi
Why the "Flag" get removed?
Using 7900XTX with LMS. Speed are everwhere, driver dependent. With QwQ-32B-Q4_K_M, I got about 20 tok/s, with all VRAM filled. Phi-4 runs at about 30-40 tok/s. I can give more numbers if you can wait for a bit.
If you don't enjoy finding which driver works best, I strongly aginst running AMD for AI workload.
I believe the arrest did happened, but unclear what those two said in the comms, How frequent the comms were, or did in school's area. For sure missing details, and try to get readers emotional.
DLP broken? Didn't heard of that.
I think he means something like challenge-response type of auth flow that while using user/pass, the password waa never sent to the server?
True. It is just another avenue to label things.
Please allow me to have a little bit of time deep thoughts and organize myself. It might take a while, but I will give you a response.
And the lack of label just reinforced the confirmation bias.
The problem is you can't make a digital label that hard to circumvent. Much like a signature, you sign something you want to prove it is genuinely from you, but you won't sign something that's not from you while not signing things that are, especially in digital format. Digital signature can just be stripped out of the data. Watermarks on images can now patched with the help of inpainting models. Disclaimers in text can just be deleted. The default shouldn't be "This thing doesn't have an AI label so it would be written by human." The label itself it a slippery slope that helps misinformation spread faster and aid building alternate facts. Adding a label won't help people identify contents generated with ML models, but let them defer the identification to that mere label because it said so, or didn't.
Misinformation didn't spread fast simply because fascists obtained controls on medias. Just look at how China, Russia, and Iran launch misinformation campaigns. They didn't have to control those media, but some seed accounts that make sensational title that attracts people in more powerful position and recognition to spread it out. For more info on misinformation and disinformation, I recommend you watch Ryan McBeth's video on YT.
Yes, we need a way to identify what is and what not generated by ML models, but that should not be done by labeling ML contents.


That's for publishers, not users.