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Kamala Harris’s Record on Trans Rights Isn’t “Mixed”.

Kamala Harris’s public record on trans rights began the moment she stepped into elected office in 2003 as San Francisco’s District…

good news for trans women: kamala harris is not, in fact, a vicious transmisogynist. the actions of her office and of the california department of corrections were wrongly attributed to her and her alone by people who wanted someone else to win, and when harris did become involved in the cases, she rewrote the entire policy for dealing with trans inmates so that they would get the care they need.

ALICE :D!!! Costume + all custom fumos made by me!!

If you honestly call anyone a “transandrophobia truther” pls get off my blog. Like omg what??? It just sounds weird first off?

Me when i say transmen experience a specific intersection of transness and masculinity and now suddenly this means that i hate transfems and im a whiner? (this is making fun of people who say this)

Trans misogyny is real, but so is transandrophobia? They can both exist?

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