Where your favorite blogs come alive
do you ever re-read your own wips like 'damn the bitch that wrote this oughta finish it'
reblog if your inbox is always open for new members of the fandom who may be a little shy or intimidated. doesn’t matter whether or not you’re a “popular blog”; everyone here is equal and if you’re reading this as a new person/someone considering entering the fandom, we will not turn you away!!!! talk to us!! make friends!! i more than understand being shy but trust me this fandom is chill come join us in this hellhole
You ever look at a mutual and think “You are so out of my league, it isn’t even funny.” Because fucking same.
ao3 writers are either *90% of works are short oneshots* or *physically incapable of writing a oneshot, everything must be expanded upon*
Please make art. You don't have to bare your soul or make a masterpiece, you can be silly and you can be derivative if you want. You don't even have to show it to anyone. Just please make something, it's so good for you
sports are so stressful and for what. i’m not a gambler, i don’t know any of these people personally, why does my tummy hurt.
ed zitron, a tech beat reporter, wrote an article about a recent paper that came out from goldman-sachs calling AI, in nicer terms, a grift. it is a really interesting article; hearing criticism from people who are not ignorant of the tech and have no reason to mince words is refreshing. it also brings up points and asks the right questions:
if AI is going to be a trillion dollar investment, what trillion dollar problem is it solving?
what does it mean when people say that AI will "get better"? what does that look like and how would it even be achieved? the article makes a point to debunk talking points about how all tech is misunderstood at first by pointing out that the tech it gets compared to the most, the internet and smartphones, were both created over the course of decades with roadmaps and clear goals. AI does not have this.
the american power grid straight up cannot handle the load required to run AI because it has not been meaningfully developed in decades. how are they going to overcome this hurdle (they aren't)?
people who are losing their jobs to this tech aren't being "replaced". they're just getting a taste of how little their managers care about their craft and how little they think of their consumer base. ai is not capable of replacing humans and there's no indication they ever will because...
all of these models use the same training data so now they're all giving the same wrong answers in the same voice. without massive and i mean EXPONENTIALLY MASSIVE troves of data to work with, they are pretty much as a standstill for any innovation they're imagining in their heads