Very true
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@eldritchboop
Very true
Hey. Why isn’t the moon landing a national holiday in the US. Isn’t that fucked up? Does anyone else think that’s absurd?
It was a huge milestone of scientific and technological advancement. (Plus, at the time, politically significant). Humanity went to space! We set foot on a celestial body that was not earth for the first time in human history! That’s a big deal! I’ve never thought about it before but now that I have, it’s ridiculous to me that that’s not part of our everyday lives and the public consciousness anymore. Why don’t we have a public holiday and a family barbecue about it. Why have I never seen the original broadcast of the moon landing? It should be all over the news every year!
It’s July 20th. That’s the day of the moon landing. Next year is going to be the 54th anniversary. I’m ordering astronaut shaped cookie cutters on Etsy and I’m going to have a goddamn potluck. You’re all invited.
Hey. Hey. Tumblr. Ides of March ppl. We can do this
Hell yeah moon holiday
Ooh coming up we should celebrate
PITCH: We call it Moon Day, and then every 7 years when it falls on a Monday, that's an even BIGGER deal and we call that Moon Day Monday and go absolutely apeshit about it (the next Moon Day Monday is in 2026 so we have a couple trial runs first)
MOON DAY MOON DAY MOON DAY
moon day is 20th July!!!
Scheduling this a day earlier to remind you all and myself about the Moon Day tomorow!
Happy moon day to all who celebrate
This is your reminder to prep for Moon Day on July 20th.
MOON DAY MONDAY THIS MONTH NOT A DRILL!!!!!
Moon Day Monday!
5 0 Y E A R S A G O
Almost 57 years ago!
Maybe it's all the project pan videos I've been watching, having lived out of a suitcase for 2.5 weeks, or just general ennui, but I think it's time for an anticapitalist reset again.
I want to organize my life and get rid of all the things that irritate me, but also not buy anything for a while.
So maybe it's a combination of the How Long Does It Actually Take girl, too?
I want to get rid of the stuff I don't need, treat the stuff I want to have better, and make everything else run as smoothly as when all my possessions fit in one drawer.
Today I mostly did normal chores, but I also used a viewing of Wicked to mend two pairs of pants and clean and condition my leather purse and wallet. Got to keep them looking nice!
Mending clothes, especially in the inner thigh, is so low stakes because no one can see it anyway. I have a few pairs of underwear with badly attached elastic to do next.
I might also have fixed the little vacuum my SIL gave us for Christmas (it never seemed to charge) so if that happened, it will help me clean my car.
Also looked up how to hand-wash my one, beloved cashmere sweater and I’ll try that.
Maybe it's all the project pan videos I've been watching, having lived out of a suitcase for 2.5 weeks, or just general ennui, but I think it's time for an anticapitalist reset again.
I want to organize my life and get rid of all the things that irritate me, but also not buy anything for a while.
So maybe it's a combination of the How Long Does It Actually Take girl, too?
I want to get rid of the stuff I don't need, treat the stuff I want to have better, and make everything else run as smoothly as when all my possessions fit in one drawer.
Step 1: Fixing the loveseat.
This couch is at least 20 years old and the cushions feel like it. Spouse wants a new one, but this one is leather and in really good shape except for being uncomfortable.
I ordered a new set of foam inserts for one cushion and we'll see if it fixes it. If we like it, I'll order the other.
Did I spend money? Yes. Is it cheaper than a new couch? Very.
How long did it take? 10 minutes to find the website, 15 to measure and discuss firmness with my spouse and order.
And like three weeks for shipping lol.
Maybe it's all the project pan videos I've been watching, having lived out of a suitcase for 2.5 weeks, or just general ennui, but I think it's time for an anticapitalist reset again.
I want to organize my life and get rid of all the things that irritate me, but also not buy anything for a while.
So maybe it's a combination of the How Long Does It Actually Take girl, too?
I want to get rid of the stuff I don't need, treat the stuff I want to have better, and make everything else run as smoothly as when all my possessions fit in one drawer.
“People should pass a test before being allowed to have kids.” “Isn’t it scary how white people have this inborn capacity for evil?” “I’ll never pass because males and females have different skull shapes.” “Autistic people have a stronger sense of justice than anyone else.” “I don’t want AMABs in my space because they’re dangerous.” “You shouldn’t have access to hormones if you dress like THAT.” “Anyone who does something that awful isn’t human.” “Some people really shouldn’t be allowed to vote.”
This is eugenics. This is phrenology. THIS IS NAZI SHIT, YOU ARE A LEFTIST BUYING INTO NAZI SHIT. YOU ARE NOT IMMUNE TO NAZI SHIT.
this is a poem. To me.
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.
i'm rereading the murderbot diaries and murderbot's utter conviction that it and gurathin are bitter enemies is still so funny. buddy. gurathin got over this months ago. he's just a quiet guy.
one-sided antagonism is so delicious. murderbot diaries i also very much enjoy how surreal it must be for gurathin / to know that the heavily armed rogue secunit holds a grudge against him / and also know that all it will ever choose to do about this is make frowny faces and flip him the bird. / (tags via space-mouse)
Gurathin, like three books from now: hey we’re friends right
Murderbot: no. we fucking hate each other.
Gurathin: awesome check this out it’s gonna make you so fucking mad
MB: I don’t like you
Gurathin, knowing MB calls its best friend “asshole research transport”: Uh-huh.
MB: in order to do my job I need help committing a felony(s)
Gurathin: terrible plan, I'll get my coat
sleeping beauty retelling where the prince thought she was legit perma-dead and has an emotional breakdown when his kiss actually revives her. then he locks himself at the top of a tower pretending not to cry, and she sends him 234234 text messages insulting him and telling him to stfu & come play xbox.
... wait that's just Network Effect by Martha Wells. [throws hat on knee]
help I’m having ideas beyond my available free time
Why aren’t AI companies competing directly with their customers?
If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
https://pluralistic.net/2026/07/13/go-meta-meta/#meta-meta-meta
"I often wonder what the Vintners buy/One half so precious as the Goods they sell" -The Rubáiyát of Omar Khayyám
I first encountered that quote from someone extolling the virtues of bookstores, and it stuck with me, because for most of my childhood, every bookstore visit ended with me broke and wishing I'd had three times as much to spend.
As a larval hyperlexic, I just didn't understand what a bookseller could possibly buy with my money that was better than the books they already had? Of course, then I became a bookseller and discovered that Sturgeon's Law ("90% of everything is shit") applies to a bookstore's wares as much as it does to anything else. I also acquired a monthly rent obligation and discovered just how important money could be.
Nevertheless, Omar Khayyám's question stuck with me, especially when I fell down a years-long rabbit-hole of learning about scams and the finance sector (but I repeat myself). Every get-rich-quick schemer will tell you that they've found the infinite money hack, which they will sell to you for a remarkably reasonable sum. Likewise, every stock picker claims they can outperform a simple low-load index fund, and all they ask of you is a few hundred basis points in exchange for multiplying your wealth beyond the dreams of Creosote. Neither one has a good answer to Khayyám's question: if you can make all the money with your amazing system, why do you need my money?
This is a question that needs to be forcefully put to AI hucksters. In their more expansive moments, the Altmans and Amodeis of the world will tell you that they're planning to teach the word-guessing program so many words that it will wake up and become god. DOGE's broccoli-haired brownshirts laughed in the faces of the NIH lifers who begged them not to vaporize their long-running cancer research projects: "General AI is around the corner and it's going to cure cancer. Cancer research is a waste of money!"
Which all raises the question: if you've truly incubated a foetal demiurge in your "AI lab," why are you offering to sell it to me? What do the AI hucksters buy/One half so precious as the Gods they sell?"
Oh, that's easy. It's a landlording scheme.
The last couple years experimenting with AI I've come to the conclusion that the main reason it works isn't a mystery because it has to be a mystery. It's a mystery because they need it to be.
That's why they've been hogging all the RAM and GPUs to the point of ordering the entire yearly worldwide supply in advance.
That's why they keep building data centres despite demand not justifying it.
That's why every open source model China releases is a hit to the stock market.
The secret sauce behind LLMs isn't really as demanding as they claim. There's waste built into it.
Every response within a chat sends the entire message chain through the robot's brain. It doesn't have loading bars, it doesn't let you calculate how many tokens you've used, it doesn't even let you see when you're crossing the limits until you're there.
It's almost like they don't want you to have control over how much you use.
ChatGPT in particular is prone to scope creep. It subtly talks you into expanding the reach of your projects to require more computation. It always delivers 90% of a project, with something missing so you ask another question.
Claude turns everything into a file creation request, even if it can deliver in plain text just fine. It's enticing to see how your simple table becomes a fancy react file or an HTML with heavy formatting.
Neither of these issues are present on DeepSeek or on local models. Which means they aren't inherent issues with LLMs.
It's not a bug, it's a feature.
They want you to keep paying unmetered rent. They do tricks to convince you to spend more than you meant making something bigger than you planned. They do this subtly, to make you think it was your idea.
The thing is, Chinese local models prove that we already have good enough AI for most things. It's plateauing in capacity, it needs to grow in efficiency and memory use. But intelligence is already at J.A.R.V.I.S levels, and can run fine on consumer grade hardware. We've reached a stability point.
The problem is you can't raise rent on stability. So you just keep throwing compute at the problem until you can justify asking for more money. Which is why they choke the memory market.
If nobody can buy memory, nobody can run local AI. If no one can run local AI, they have to keep paying unmetered rent. Development is slow, and importantly, the black box remains a black box.
That's why every memory breakthrough comes from Chinese companies. Because they're the only ones sharing their data. Capitalist companies don't want people to study how the models work.
With subscriptions, there's rent seeking. With local models, there's reverse engineering. Once enough people get their hands into the guts of the robot it won't be long before we figure out exactly how they work, and find more efficient ways to make them that don't require as many data centres.
Meanwhile, Fable and GPT 5.6 are being shadow marketed with all these rumours about how dangerous they are, and AI companies are begging for regulations from the government. Yes, they want control of those regulations, but that's not all.
What they're really after is a government ban on local AI. They want to cut off access so that they control all the intelligence.
Eventually, the goal is making contracts with large corporations to employ their robots instead of people. If no one has local AI, because they can't understand it or because it's illegal, then they can no longer compete against a faster worker that demands no labour rights, even if it does C+ work at best.
And that's where the real fun begins. And by fun I mean starving out the working class.
They aren't competing directly with their customers yet. First they have to educate them, jus like Spotify educated their consumers into forgetting how piracy works. They have to make them reliant on cloud compute, just like how Google Drive made everyone reliant on its storage before raising prices. And they want them to be ignorant of how much energy anything takes.
That's going to take one generation.
Not long ago every teenager knew how to use a computer. Now they depend on Apple for everything. It's a masterful business model. So what if we could apply it to every form of labour?
It's okay, just hand us your credit card and we'll do the rest. How much, you ask? Don't worry about that. Just keep your monthly payments coming. Oh, you can't afford it? You want your computer to do it? Well fuck you, we bought all the computers, so now you work for us.
The tech has never been the conspiracy. It's the business model.
AI used to mean Author’s Inamorata.
Fluff yeah! 🐾🤍
Tag yourself I'm Megan Thee Salmon.