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Game Changer & Make Some Noise
Sweet Seals For You, Always


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macklin celebrini has autism

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@yeatme

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"But AI can't do your job. It can help you do your job, but that doesn't mean it's going to save anyone money. Take radiology: there's some evidence that AIs can sometimes identify solid-mass tumors that some radiologists miss, and look, I've got cancer. Thankfully, it's very treatable, but I've got an interest in radiology being as reliable and accurate as possible. If my Kaiser hospital bought some AI radiology tools and told its radiologists: "Hey folks, here's the deal. Today, you're processing about 100 x-rays per day. From now on, we're going to get an instantaneous second opinion from the AI, and if the AI thinks you've missed a tumor, we want you to go back and have another look, even if that means you're only processing 98 x-rays per day. That's fine, we just care about finding all those tumors." If that's what they said, I'd be delighted. But no one is investing hundreds of billions in AI companies because they think AI will make radiology more expensive, not even if that also makes radiology more accurate. The market's bet on AI is that an AI salesman will visit the CEO of Kaiser and make this pitch: "Look, you fire 9/10s of your radiologists, saving $20m/year, you give us $10m/year, and you net $10m/year, and the remaining radiologists' job will be to oversee the diagnoses the AI makes at superhuman speed, and somehow remain vigilant as they do so, despite the fact that the AI is usually right, except when it's catastrophically wrong. "And if the AI misses a tumor, this will be the human radiologist's fault, because they are the 'human in the loop.' It's their signature on the diagnosis." This is a reverse centaur, and it's a specific kind of reverse-centaur: it's what Dan Davies calls an "accountability sink." The radiologist's job isn't really to oversee the AI's work, it's to take the blame for the AI's mistakes. This is another key to understanding – and thus deflating – the AI bubble. The AI can't do your job, but an AI salesman can convince your boss to fire you and replace you with an AI that can't do your job. This is key because it helps us build the kinds of coalitions that will be successful in the fight against the AI bubble." - Cory Doctorow, The Reverse Centaur’s Guide to Criticizing AI
im so sorry that you're doomed by the narrative but i really need you to answer my message on Microsoft Teams
kind of harmonically beautiful

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When the female character meets her male love interest and you watch in real time as the writers hollow her out and zombify her with tradwife spores
I think we should figure out what age we’re living in now so we can say how it’s collapsing to each other
Our age of plastics is collapsing
Our age of information is collapsing! *remembers generative AI, nods to self* our age of information is collapsing.
Gas Plant
Shin-Sayama, Japan 2026
This is an art piece by Rick Gibson, and yes, it works.
It was placed in different nightclubs for a total of three days, and over 1,200 people decided to pay to use it
Truncated text of tweet from MrPitBull, Mar 11, 2026:
She kept finding women in laboratory photographs from the 1800s. Then she read the published papers—and every single woman had vanished. Someone had erased them from history.
Yale University, 1969.
Margaret Rossiter was a graduate student studying the history of science. She was one of very few women in her program.
Every Friday afternoon, students and faculty gathered for beers and informal conversation. One week, Margaret asked a simple question: "Were there ever any women scientists?"
The faculty answered firmly: No.
Someone mentioned Marie Curie. The group dismissed it—her husband Pierre really deserved the credit.
Margaret didn't argue. But she also didn't believe them.
So she started looking.
She found a reference book called "American Men of Science"—essentially a Who's Who of scientific achievement. Despite the title, she was shocked to discover it contained entries about women. Botanists trained at Wellesley. Geologists from Vermont.
There were names. There were credentials. There were careers.
The professors had been wrong.
But Margaret's discovery was just the beginning. Because as she dug deeper into archives across the country, she found something far more disturbing.
Photograph after photograph showed women standing at laboratory benches, working with equipment, listed on research teams.
But when she read the published papers, the award citations, the official histories—those same women had disappeared. Their names were missing. Their contributions erased.
It wasn't random. It was systematic.
Women who designed experiments watched male colleagues publish results without giving them credit. Women whose discoveries were assigned to supervisors. Women listed in acknowledgments instead of as authors. Women passed over for awards that went to male collaborators who contributed far less.
Margaret realized she was witnessing a pattern that stretched across centuries.
Women had always been present in science. The record had simply pushed them aside.
She needed a name for what she was documenting.
In the early 1990s, she found it in the work of Matilda Joslyn Gage—a 19th-century suffragist who had written about this exact phenomenon in 1870.
In 1993, Margaret published a paper formally naming it: The Matilda Effect.
The term captured something that had been hidden in plain sight for generations. Once you knew the term, you saw it everywhere.
Her dissertation became a lifelong mission.
For more than 30 years, Margaret researched and wrote her landmark three-volume series: Women Scientists in America. She examined letters, institutional policies, individual careers. She gathered undeniable evidence that women in science had been consistently under-credited and structurally excluded.
Her work faced resistance. Many dismissed women's history as political rather than academic. Others insisted she was exaggerating.
Margaret didn't argue emotionally. She presented data. Documented cases. Patterns repeated across decades and institutions.
Eventually, the evidence became undeniable.
Her research helped restore recognition to scientists who had been erased:
Rosalind Franklin, whose X-ray work revealed DNA's structure—credit went to Watson and Crick.
Lise Meitner, who explained nuclear fission—omitted from the Nobel Prize.
Nettie Stevens, who discovered sex chromosomes—received little credit.
Cecilia Payne-Gaposchkin, who discovered stars are made of hydrogen—initially dismissed.
And countless others whose names had nearly vanished.
Margaret changed the narrative. Science was no longer just the story of solitary male geniuses. It became a story of collaboration that included women who had been written out.
The Matilda Effect became standard terminology. Scholars used it to examine how credit is assigned, how authors are listed, who receives awards, who gets left out.

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Resteraunt servers have the funniest and most surreal workplace stories of any profession. They have the job that mean nurses think they have. The entire world is working against them the entire shift. And then you feel terrible for laughing. It’s not funny that you tripped and spilled an entire ice tea all over a toddler and the kid started screaming at the top of his lungs. Nobody was having a good day, thank God it wasn’t a hot coffee. That’s not funny. I did laugh so hard tears started rolling down my face when you recounted this mortifying ordeal though.
whatever you’re going through, you’re not them
Wild shit you can do with potatoes ep 1
I think it would be really wonderful if seagulls were constructed more like bottles with a mystery inside. What I'm imagining is that were you to catch one, you could then unscrew its face and there would be a glowing gem nestled in some sort of socket. The Core of the Gull so to speak. Then you could swap that around with other seagulls, and after screwing the faces back on they would fly off as if nothing happened. Hm... Is this too esoteric, or do some of you see what I am getting at?
I saw an emotional regulation resource that was titled as a resource "for men" & I wanted to talk about this kind of gendering a little.
first, obviously I think it is essential that men learn to handle their emotions, because they are people, and it's everyone's responsibility to learn how to self regulate to the best of their ability. and I understand in some contexts it has utility to have emotional regulation resources presented as "for" men specifically, because on a hegemonic level men are expected to outsource managing their emotions to women and children instead of engaging in this work themselves, so general resources about self regulation are likely to be looked over by most men as not relevant or necessary for them.
but. like that is kind of the problem at the same time.
like the whole issue is men thinking they don't need to learn how to handle emotions (identifying them, processing them, expressing them, channeling them usefully, grounding themselves, addressing underlying issues, etc).
and then these kind of half-way measures that position tips as "mental health FOR MEN" "emotional regulation FOR MEN" inevitably ends up cross-pollinating with MRA style analysis where we get things like
"the MALE loneliness epidemic" (as if women do not also experience loneliness and alienation under current conditions), or
"men aren't allowed to cry" (as if women and children aren't berated and patronized for crying all the time & expected to "smile" for men), or
"men have the highest suicide rates" (implying that men are uniquely prone to being actively suicidal, glossing over that women attempt suicide more often)
which all ends up reinforcing this idea that men's emotions are bigger and more serious and urgent than anyone else's, and men need help to manage them, so "society" (women and children) must help them.
which just reproduces the exact social conditions that cause men to not learn how to manage their emotions in the first place.
(illustration by Harold Speakman)

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A butternut woollyworm ♡
shooo