It’s fascinating comparing that result to general trends.
It’s fascinating comparing that result to general trends.
“All models are wrong, some are useful.”
I don’t understand how “both sides are the same” could possibly hold any water after roe was appealed.
Well it’s a good thing the electorate voted largely democratic after Trump so that could get fixed!
So in summary: “both sides bad”?
(Hint: the Democrats long term goals are to lose to the fascists on purpose because that’s how they maximize their funding/support from liberalesque individuals like yourself.)
It’s not, the underlying data is still just as biased. Taking a bunch of white people and saying they are “ethnically ambiguous” is just statistical blackface.
Why let you choose one when you can be both customer and product!?
There’s a specific model for stable diffusion called riffusion that does an okay job. If you want to play with it I recommend downloading the automatic 1111 client and installing it from the “plugins” tab.
You should read up the Halloween documents to get a better understanding of where some of those assumptions (which to be fair have since become something of a self fulfilling prophecy…) originate from.
Yep! It’s known as “The Gell-Mann Amnesia Effect”.
It doesn’t aim to destroy extensions but point #1 within the problem statement:
Users like visiting websites that are expensive to create and maintain, but they often want or need to do it without paying directly. These websites fund themselves with ads, but the advertisers can only afford to pay for humans to see the ads, rather than robots. This creates a need for human users to prove to websites that they’re human, sometimes through tasks like challenges or logins.
You could’ve made an argument that the “fuck” part of “fascist fuck” was name calling and uncalled for… But your doubling down on the “fascist” part isn’t “be(e)-ing nice”, it is using a bully pulpit to push your own views and opinions.