NOTE: If you send me a fundraising ask without us having ever previously spoken, I will delete it and probably block you. Yes, perhaps I am a heartless bitch; no, I don't care.
Sometimes I add image descriptions to posts. Unfortunately, usually I just don't have the energy. Sorry.
ABOUT ME: 30-something Australian woman. Simultaneously terminally online and eternally out of the loop perma-lurker. Bookworm, singer, nerd, disabled, Jewish, useless bisexual. Very tired leftist. History lover. TERFs, racists, sexists: not your friend. White, cis, she/her.
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sometimes i think about the span of human existence and how if you spread your arms out in a long line and said my body is acting as a poem of all the universe's birthdays, the smallest sliver of your furthest nail would be our entire history as humans. and you, doing this, feeling your sternum crack into place because you're-getting-old and all of your bones crunch these days: you are the universe, measuring its own timeline. you're the memory of a starburst saying i gave birth to humans at the tip of my finger.
and i think about how crocodiles have been around for way longer than that fingernail and how sharks have been here forever too and how there are sea cucumbers that understand time like an angel would; their ages so astronomically long that i get dizzy looking down into them. i think about my dog, and how i am so fantastically ancient to him (an impossible number, staggering) and how, at the same time, i can order my life in eras of pets-i-have-loved and how my childhood died when my cat did.
and i wonder if the earth does the same thing, if nature keeps time in epochs. if the tree in the house where i grew up said oh a new family and got upset when one by one we all left for college and left behind our climbing and screaming and birdhouses. that same tree collapsed during a bad storm this winter; heartbroken. the whole inside was a hull, shivering and empty. it missed our roof by a whisper, almost like it held itself together so it couldn't pass a hole into the house it's been looking into for years now. the people who took it away clicked their teeth. it was a hundred years old, at least.
there are things that went extinct in my lifetime. there are memories that don't extend to the tip of the finger. four years ago, for the first time: i saw a bald eagle in the wild. ever since they've been sprouting strangely in my life, their origami frames hunched in a racket of brown feathers. something in the motion of wild animals braced against the new england weather - like we all (all of nature, all of the fingertip) have the same shared hate when it's cold sorrow. like in years and years and years of history we never really evolved a better method than to close your eyes and brace yourself against it.
i saw a butterfly today, staggering drunkenly in the early spring air. it's too early for her other friends. i want to tuck her back into bed and say it's not your time yet! her life like a pinprick in my own. in butterfly school they'd have to stretch out their scales and say - at the end of your furthest wing is where you are in the life of a human. she is in my life, isn't she. something about how my heart seized at the sight of her, so brave and lonely and unfair; and how it snowed yesterday (and will snow again, probably), and how, in spite of that, she was out there and flying.
something about waking up this morning and thinking - i'm too old for this. how my hips and knees and back all make new noises. how the other day at a grocery store i picked up the gloves an older woman had dropped, how she'd laughed and thanked me - i can't bend down like you young folks anymore.
something about the theory that there's been no visible life on other planets because we are too early. that we are the first butterfly of spring. all this bravery. we know it is probably hopeless, and still we go. breathless, the same tactic - we brace against the cold.
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Bugs Bunny accidentally transformed the word nimrod into a synonym for idiot because nobody got a joke where he sarcastically compared Elmer Fudd to the Biblical figure Nimrod, a mighty hunter.
He also solidified the idea of rabbits loving carrots when carrots actually carry very little nutritional value for rabbits. The funniest part of that is that the original joke was a reference to a Clark Gable film where Gable munches on a carrot, it was never meant to imply that rabbits love carrots. The Clark Gable reference would’ve been obvious to audiences in the 40s but it has been pretty much lost to time.
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i would like to take this opportunity to present my headcanon about that infamous “language!” line: steve and the howlies had such dirty mouths that they had to be constantly reminded to clean it up for the reporters that followed them around. so steve heard a swear word over the radio and had a kneejerk stop that we’re being filmed for the folks back home reaction.
in other words, he said “language” not because he never swears, but because if he’s not on guard he swears way too much. :D
And the interesting thing about actually dealing with people who do swear to that degree, which I have, is that eventually your brain completely tunes the word fucking out.
You basically don’t hear it. It becomes unimportant noise.
I was actually just talking to someone last night about how when I was a kid (the 80s), no one said “fuck” or “shit,” ever, but people casually tossed slurs around like nobody’s business. Now people use “fuck” and “shit” like punctuation, but slurs are increasingly taboo–and that’s exactly how it should fucking be.
When I first saw this post go around, I was traveling, but I had something I wanted to say and I could never find it again.
Okay, so, this post isn’t wrong, but what the original gifset doesn’t take into account (though some of the commentary touches on it) is how incredibly situational swearing was in the 1940s.
So, yes, men swore a lot – around other guys, in certain contexts. But they were very heavily conditioned not to swear around women and kids.
I think this might be one of the big reasons why a lot of people my age and younger got the idea that people didn’t swear during the 1940s. Most of us fell into the “kid” or “female” categories, or both, and guys our grandparents’ age would never, ever say “fuck” around us. And those words weren’t usually used in media of the era for similar reasons, so we got the idea that people that age were very prim and polite, when it’s more that they were prim and polite around us.
I remember as a young woman walking in on groups of old blue-collar guys talking among themselves, with profanity flying freely, and then noticing me in the room and immediately clamming up and apologizing to me for swearing around me.
There’s a bit in the Douglas Bader biography I was reading a month or so ago that demonstrates this in a WWII context. According to the book, the squadron pilots swore freely in their radio chatter to each other in the field, to the amusement of the WAAFs (female service personnel) who were listening to the radio in an ops room as they moved counters around on maps (much like we see Peggy doing in TFA) and the embarrassment of their commander:
After awhile, to the regret of the Beauty Chorus [the WAAFs], Woodhall disconnected the loud-speaker in the Ops Room, feeling that some of the battle comments were too ripe even for the most sophisticated WAAFs. (“They laugh, you know,” he said, “but dammit I get so embarrassed.”)
… so, right, even in the middle of a war, pilots saying “fuck” over the radio was something the female staff had to be insulated from.
Say what you will about the baby boomers, but they largely demolished that wall between “swearing around men” and “swearing around women”. Most guys my dad’s age don’t do it anymore, at least not to that much of an extreme. By the time you get to my generation (I’m 40), people might swear or they might not, and they usually don’t swear around young kids, but swearing around men but not around women is just not a thing anyone does anymore. At least I don’t know anyone who does it specifically and consistently who’s not elderly.
It’s not really an individual-sexism thing, more of a socialization thing – sexist on a societal level, sure, but I don’t think Steve would balk at swearing around women, kids, or in a refined or professional social setting because he’s a sexist or a prude. It’s just something you didn’t do as a polite person. Like blowing your nose on the tablecloth in a fancy restaurant. I think he could and probably would unlearn that, but it’d take time.
So, to me, about half the examples up there work just fine (“now why the fuck would I do that” to Bucky – absolutely! Or “Is everything a fucking joke to you?” to Tony) and several jar horribly, because they’re not the right context (like the “there’s only one God ma'am” bit – noooo, you aren’t going to get “fuck” and “ma'am” in the same sentence! not for a Steve fresh from the 1940s! – or “we have our fucking orders” … in a polite, professional context like that, no). Steve would never. Or, I should say, someone from Steve’s culture – who tries in general to be a polite and respectful person, as Steve does – would never. Maybe after he’s had a few years to acclimatize to the more relaxed social climate surrounding swearing in the 21st century, but I think it’d take him awhile; he would sort of instinctively jerk himself back from doing it in all but the most relaxed sort of “palling around with your teammates” environment.
(Headcanon-wise, I could see Steve very quickly incorporating someone like Natasha into his mental schemata as “one of the guys” – not consciously, but on a subconscious level: like, he doesn’t hold back from swearing around her pretty quickly – but taking a LOT longer with someone like Wanda or Pepper.)
tl;dr disclaimer: not a historian, was not alive in the 1940s, so please correct me if I’m wrong on things here.
I’m so glad someone said this, because this is something I think a lot of the Steve meta about swearing misses. Situational profanity, exactly! He wouldn’t cuss in anything he’d consider ‘polite company’, because you didn’t do that. I’m absolutely sure he’s capable of having a very foul mouth in some circumstances (he was a soldier who grew up in working-class Brooklyn, so… yeah), but in the cultural context where he grew up, you sure as hell didn’t say ‘fuck’ in front of a lady, not if you had any manners to speak of.
/speaking as someone who cusses like breathing, even.
we need to periodically remind everyone that a headline not including a person's name isn't an attempt to erase their identity from the narrative, it's just not good practice to put someone's name in a headline unless the reader can be expected to already know who they are
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"What do you mean you don't have them? You can't just not have them!"
"Well, we have them, we just send them away."
"SEND THEM AWAY? HOW? TO WHERE?"
"Settle down, it's very straightforward. When someone starts getting their period they go to the local witch or wizard or necromancer or whatever's nearby and get a spell placed on them. All the blood gets sent straight to the throne of the Blood King. Which is nice because he loves blood and isn't too picky about where it comes from. This way he's not running around starting wars for his blood. He gets it free and on a regular basis."
"But what about period cramps?"
"Oh, we send those away too. Off to the orcs of the Screaming Mountains."
"That seems like it could cause problems. Aren't you worried they'll retaliate?"
"Well, no. The orcs....kind of like it? They apparently like pain about as much as the Blood King likes blood. So as long as we keep sending the period cramps, they leave us be."
"huh, I wonder why more kingdoms haven't tried this."
"Probably because those other kingdoms have normal neighbors."
Text of tweet under the cut because it is loooong.
But... Stochastic Parrots.
Timnit Gebru was fired from Google in December 2020 for refusing to retract a research paper, and every single warning that paper made about large language models has now happened at a scale the industry spent 4 years trying to make people forget about.
Her name is Timnit Gebru.
She co-led the Ethical AI team at Google. She co-wrote a paper called "On the Dangers of Stochastic Parrots" with Emily Bender at the University of Washington and two other researchers. The paper was 14 pages long. It was submitted to a top AI ethics conference. And it was the reason Google decided that one of the most senior Black women in AI research could no longer work there.
The story Google told publicly was that she resigned. The story she told, confirmed by 2,695 of her colleagues in an open letter, was that she was fired by email while on vacation because she refused to either retract the paper or remove her name from it.
The paper had not even been published yet.
Here is what she actually wrote, and why every prediction inside it has now come true.
The first warning was about scale itself. Bender and Gebru argued that training ever-larger models on ever-larger scrapes of the internet would produce systems that appeared fluent but had no actual understanding of language. They called these systems stochastic parrots because they would repeat patterns from training data with statistical confidence and zero comprehension. The paper predicted that this apparent intelligence would fool both users and developers into trusting outputs that were structurally incapable of being reliable.
This was 2020. GPT-3 had just come out. The paper predicted the hallucination problem before anyone had a word for it.
The second warning was about bias amplification. The paper documented in detail that internet-scale training data contains systematic overrepresentation of dominant viewpoints and underrepresentation of marginalized ones. The models would not just absorb this bias. They would amplify it, because the optimization process rewards confident outputs, and confidence in language patterns tracks frequency in the training set.
The prediction was that hiring tools built on these models would discriminate against women. That healthcare triage tools would underperform on Black patients. That loan approval systems would entrench inequality while presenting their decisions as neutral algorithmic judgment.
Every one of those things has now been documented in deployment.
Amazon's hiring algorithm penalized resumes that contained the word "women" in any context. Healthcare risk scoring algorithms used by major US hospitals were found to systematically underestimate the medical needs of Black patients. Apple Card's credit algorithm gave wives credit lines 10x lower than their husbands for the same financial profile.
The third warning was about environmental cost. The paper calculated that training a single large language model produced emissions equivalent to the lifetime output of 5 cars. The prediction was that the race to scale would create an environmental footprint that would eventually rival entire industries.
In 2024, Google's emissions were up 48% from 2019, and the company explicitly blamed AI infrastructure. Microsoft's were up 29%, same reason. Both companies have now quietly abandoned the climate commitments they were publicly celebrating the year Gebru was fired.
The fourth warning was about documentation. The paper argued that the training datasets being assembled were too large for anyone to actually audit. Nobody at Google, OpenAI, Meta, or any other lab could tell you with confidence what was in the data their models were trained on. This was not a temporary problem to be solved later. It was a permanent feature of the approach.
In 2023, researchers discovered that the LAION-5B dataset, used to train Stable Diffusion and other major image models, contained thousands of images of child sexual abuse material. The companies that had trained on the dataset had no way of knowing. The paper predicted that category of failure 3 years before it was found.
The fifth warning was the one Google cared about most.
Bender and Gebru argued that the deployment of these systems would centralize linguistic and cultural power in the hands of the small number of companies that could afford to train them. The internet would become a place where the dominant voice was a statistical average of dominant voices, presented as a neutral assistant. Languages underrepresented in the training data would degrade over time as more web content was generated by these systems and fed back into the next training run.
This is now happening in real time. A 2024 study found that 57% of new web content in English is AI-generated or AI-assisted. Researchers studying low-resource languages have documented active degradation in translation quality, because the synthetic content fed back into training is itself worse in those languages.
The paper Google fired her for predicted the model collapse problem before model collapse had a name.
The mechanism behind why this all happened is the part of her work that nobody quotes.
Gebru's argument was not that AI is dangerous in some abstract sci-fi sense. Her argument was that AI is dangerous in a very specific structural sense. The technology was being built by a small group of researchers who shared similar backgrounds, worked at similar companies, and were rewarded for shipping products faster than competitors. The incentive structure made it impossible for safety, ethics, and bias concerns to slow anything down. Anyone inside the system who raised those concerns was either ignored, sidelined, or removed.
She was making that argument from inside Google.
Then Google proved her right by removing her.
The team Google had built to make sure their AI was safe was dismantled in 90 days because they did the job they had been hired to do. Margaret Mitchell, the other co-lead of the Ethical AI team, was fired two months after Gebru for searching through her own emails for evidence of how Gebru had been treated.
Gebru did not stop. She founded DAIR, the Distributed AI Research Institute, in 2021. The mission is to do AI research outside the control of the companies that have a financial interest in not hearing the answers.
Every prediction in the Stochastic Parrots paper has now been validated by deployment. Hallucinations are an industry-wide problem the largest labs cannot solve. Bias amplification has been documented in hiring, healthcare, lending, and criminal justice. Environmental costs are larger than entire small countries. Training data audits remain impossible. Model collapse is an active research crisis at every major lab.
The question worth sitting with is the one almost no one in the industry will say out loud.
Every researcher with the technical credibility to call out these problems watched what happened to her in December 2020 and made a calculation about their own career. The number of people willing to speak publicly about safety and ethics issues inside the major AI labs collapsed after that firing and has not recovered.
The researcher Google fired for warning about exactly what is now happening was right.
The company that fired her is now the second-largest deployer of the technology she warned about.
And the people inside that company who agree with her are not allowed to say so.
I just went looking for the post on X and got a message that it didn't exist
I searched for Guri Singh and got search results showing his account existed, but when I clicked on it I got a message his account did not exist
Does anyone know if he made his account private or if he got nuked by Elon? Or do I just suck at X (because I never go there)?
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Reblogging again cause I tried this site last night and if you need background noise to focus this is perfect for that, I was locked the fuck in on a task. And it’s also just gorgeous to listen to
The amount of transphobes that just don't know anything about swords or fencing is fucking killing me. Firstly, alot of fencing competitions are gender neutral. Secondly even if someone who did have a massive strength advantage entered a fencing competition that still wouldn't help them too much because a duel with swords is very rarely decided on strength. It doesn't matter how strong you are, if your opponent hits you that's a point for them. Fencing is won entirely by fucking knowing how to fence, shockingly.
Also, anybody commenting "Why is her hair greasy. She needs to wash her hair" needs to step outside the house like atleast once in their life. Girl just won a fencing competition and she was wearing one of these 👇 the whole time
