typhon, father of all monsters
Claire Keane
The Stonewall Inn
$LAYYYTER
macklin celebrini has autism
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Show & Tell
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tumblr dot com

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Noah Kahan
TVSTRANGERTHINGS
Lint Roller? I Barely Know Her

#extradirty
hello vonnie
Xuebing Du
todays bird

Love Begins

pixel skylines
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YOU ARE THE REASON
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@iluvgoats95
typhon, father of all monsters
Does anyone have that photo of the kid's Blue Angels protest sign? It was like "die, crash blue angels" or something, really funny, cannot find it anywhere online
Turns out I had it THE WHOLE TIME! golly
eepy mourning dove cupping its wings under its belly for cushion ©Ella
you and that fucking wasp
Men who talk shit about gold diggers underestimate the grit it takes to put up with an insufferable man, even when money is involved. We should be thanking them for their service like they are veterans.
Can't leave this in the tags..
A Knights Dress by Frieda Lepold
#truthnuke
obsessed with this guy
brb beating up my grandpa
"You hear that? They're saying The Odyssey doesn't even have nobody!"
"They've got nobody in the Odyssey?"
"No I'm saying they don't got nobody."
"Nobody's there?"
"Nobody's not there!"
"So everyone's there?"
"Everybody but nobody!"
I watched the live action version of "Can You Feel the Love Tonight" on Youtube and I was not ready for the utter lack of emotions from the CGI animals.
Nala looking concerned about Simba hiding something about his past, a comparison:
Also, in CGI this song called "Can You Feel the Love Tonight" does not take place at night.
when your uncle gets the christmas pudding to a sustainable boil and it smells like straight up skeletons
how the fuck is this #solarpunk
the pudding contains a biological element
so i think the solution is to give dachshunds a third pair of legs right in the middle
I think we should also add some sort of chitinous segmented armor on their backs to help protect them also
there is nothing a corporation hates more than having employees, but a close second is having to provide a good or service in order to make money. these two reasons concisely explain is why the ai bubble formed in the first place.
t’es woke toi 😦🫵 toi t’es un woke left😔🙄 tu supporte les trans pis les pronoms toi 🤨🏳️⚧️ veux-tu savoir mes pronoms? 🥱🔥 mes pronoms? 😳😤 que/bec. fran/çais. bar/be/que. go/habs/go.🍁🏒 bleu pis rose 💙🌹 toi c’est quoi tes pronoms? vas-y. dis moj tes pronoms?🧐😪 joe/bi/den? ru/paul? 🤭😒 j’vas prier pour toi 🫤🙏
2 am: bedtime were meant to be broken 😈
7 am: I hope i get in a car accident
for the record im not technially 100% anti-AI, in the sense that its a broad category of tech being lumped under one umbrella term so it feels over-zealous to say i hate all of it all the time forever. but i also think trying to discuss what it actually IS good for is difficult right now when i cant take one step without something trying to convince me to use chatgpt to summarize my life and speed up my hobbies and turn my friends into chatbots and optimize my life into oblivion. i am certain there is nuance to the topic but can we stop cramming the square peg into the round hole before you start trying to sell me on the legitimate benefits of the square peg. please.
here's my super-quick, easy-to-digest summary that i use when i can't spend more than like 15 seconds on it but need someone to know the basic distinctions:
generative AI - bad evil AI. chatbots, LLMs, image generators, etc. this the one that steals shit.
analytical AI - helpful medical AI. this the one that helps detect cancer early.
game "AI" - fake AI. 100% human created and dictated. this the one that determines game mob behavior n stuff.
losing the battle with my own self-control so will briefly comment and say that categorizing certain types of ai as straightforwardly good and other types as "bad evil," even for the sake of summary, doesn't really hold water. just to give two counterexamples to the distinctions drawn above, large language models ("evil") are being used by human rights groups to parse huge datasets about police abuse while analytical ai ("helpful") is also the kind of ai that animates facial recognition software and the increasingly ubiquitous searchable license plate databases that police are using to stalk people. the goodness or badness of a given ai tool has less to do with its type and more to do with things like scale and scope, transparency, ownership, and contextual application.