Drag’s a user with weird neopronouns and got upset when people didn’t use them. This started ‘discourse’ about not intentionally misgendering people just because you don’t like them, even if they use weird Neo-pronouns.
Also went around telling people to off them selves. Got banned for it.
3 billion registered accounts is not the same as 3 billion individual active users. Most people don’t delete their account when they stop using a platform.
There are a lot of people on it with very strong opinions that fall well outside the norm. From my experience, most of what goes on there is pretty innocuous, occasionally I’ll see something on the all page from there that makes me raise an eyebrow in disbelief, but like, not often enough to be a serious bother for me TBH.
And if you don’t want to use someones preferred pronouns for some reason… you can just not engage. Simply not referring to someone is always an option!
If you think someone is a troll using the permissive social norms of a community to be unreasonable, don’t interact. That’s the proper response to a troll trying to bait, ignore. If they’re not a troll, just particular, then you’ve avoided the issue by not interacting.
No one is being forced to be here, every choice to be here is voluntary. Every interaction is voluntary, if you choose to interact with someone who upsets you, that’s your choice. If you think the rule of “don’t intentionally misgender people” is unreasonable, you can choose to not be here.
The problem is that the machines are not learning. They are taking a statistical amalgamation of the input images and outputting a selected part of each relevant input (not how people learn or make inferences BTW)
It’s more like a complex selective compression and decompression method than generation of a new image.
One easy way to check is the look for JPEG artifacts that doesn’t make any sense. A lot of the systems were trained with images stored as JPEGs, so the output will have absurd amounts of JPEG artifacting that will show up in ways that make no sense for something that actually went through JPEG compression, such as having multiple grids of artifacts that don’t line up or of wildly different scales.
plagiarize: : to steal and pass off (the ideas or words of another) as one's own : use (another's production) without crediting the source.
Since almost no one actually consented to having their images used as training data for generative art, and since it never credits the training data that was referenced to train the nodes used for any given generation; it is using another persons production without crediting the source, and thus is text book plagiarism.
Just down load more ram capacity. It the button right under the down load more ram button.