artwork carried by pioneer 10, the first spacecraft to leave our solar system. the vessel carried “messages for other worlds,” including this drawing by linda salzman sagan representing humanity, 1972.
dystopia au where we are all assigned one of two chosen genders at birth
Thanks to ultrasounds, the genders can be assigned before birth. The people are so excited to conform they throw “Gender reveal parties” to make sure their offspring exist in a strict binary since before they can even form thoughts.
Children are color-coded according to their binary assignment.
One of the genders is seen as inherently inferior.
This all sounds really effing creepy when you put it that way
#BECAUSE IT IS
And if you deviate from the assigned gender you can be disowned by your family, fired from your job, and beaten by authorities.
The original Doom was full of demons and crosses etc because it’s was edgy, but metal album art aesthetics aren’t edgy anymore. Nobody is gonna accuse Doom: The Dark Ages of being satanic in a bad way or blame it for school shootings. They need to step their game up. Doomguy has to transition. And then she has to get really good at tennis.
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
