Color Me Curious

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2025 on Tumblr: Trends That Defined the Year
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Game of Thrones Daily
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EXPECTATIONS
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@feministbuffy
vamp appreciation week 2021 ↳ day two: favourite vampire | drusilla (buffy the vampire slayer)
Bride of Frankenstein (1935)
| blushing phantom butterfly
As they say at the awards shows, I was humbled to learn that Christopher Nolan has read at least the first line of my...
Nolan’s vision of the world is not quite big enough to include either real gods or real people who might be different from us.
Brutal.
"There are more female characters than in most Nolan movies, thanks to the source material."
transparent version of this post + view here
via by.aikaflores
Rupert “Ripper” Giles
"i don't care if they make their whole way though uni with chatgpt" i think you guys are so internetpilled that you have forgotten there are actual jobs out there that require people to know what they are doing in any way possible or else people die
i know a lot of people study just to get paid well but girl this is engineering be for fucking real take this seriously
114 people died in the Hyatt Regency collapse, and in the US it's the third largest structural collapse fatality count, behind 9/11 and the Pemberton Mill collapse in 1860.
I've learned about this tragedy in my physics classes, to demonstrate tensile strength, and as a reminder about the importance of calculations being done right. I've also learned about it in my legal classes as an example of construction defect lawsuits. I've seen it referenced in disaster response classes.
Between AI and the current Presidential administration, we're barrelling right back towards this nightmare.
There are multiple errors that resulted in this collapse, but these stand out to me:
1. Kansas City was facing high unemployment and needed to attract jobs and business into the city. So the planning and inspection departments may have looked too closely at the designs.
2. An engineering firm too lazy to double check their designs or design changes by the manufacturer before approving them. The error that resulted in the collapse was one that the owner of the engineering firm said that a "first year engineering student" would spot.
3. The steel manufacturer treating preliminary plans as final plans, not verifying the math on their end.
The bridges' original design could only hold 60% of the minimum load required by city code. The design changes recommended by the manufacturer halved that. Less than a year and 3 weeks from opening to the public, the whole thing collapse.
Articles about the collapse say that everyone "trusted" the other party to have done the calculations correctly.
A significant portion of the population trusts what the computer or AI tells them, without checking. Imprecisely calibrated AI hallucinate information. The US economy is going into a downturn and federal regulatory agencies are being gutted.
We are going to see the Hyatt Regency Collapse repeat over and over for decades, not just in buildings, but in medicine, manufacturing, the environment, etc.
Some of this we're just going to have to weather, but the message for AI users comes straight from IBM (once the world's leading computer manufacturer) back in 1979:
"A Computer Cannot Be Held Accountable. Therefore A Computer Should Never Make A Management Decision."
The owner of the engineering firm that designed the Hyatt Regency spent the rest of his life lecturing on the disaster, to serve as a warning to his fellow engineers about the real-life consequences of sloppy design.
I don't think Sam Altman or Mark Zuckerberg or Elon Musk will have the courage or the honor to do that when OpenAI / Meta / xAI are responsible for getting people killed.
So if you're going to blindly trust the AI to do critical work tasks, I hope you're prepared to be making an apology tour for the rest of your life if it all goes wrong.
We've already seen AI give incredibly bad advice in numerous fields, including stuff like trail directions and identifying mushrooms. Pretty sure some AI "therapists" have convinced people to do drugs or kill themselves or other harmful acts.
We've already at the danger point, if not past it.
Cool Canadian history moment 🇨🇦:
We had some absolutely criminal negligence in the building of the Quebec Bridge, with multiple engineering firms ignoring real signs of structural issues.
There is some debate about this, but most engineers in Canada agree this started a new ritual upon graduation with a B. Eng from any Canadian university. You attend a ceremony upon graduation and are given an Iron Ring.
You wear it on the pinky of your dominant hand, so it touches any paper you are asked to sign. Every time you sign off on something in your capacity as an engineer, you are reminded of your duties and obligations.
I have engineers in my family, and it is considered a sacred oath. Much like doctors, Canadian engineers have an ethos to do no harm.
And if you genAI bullshitted your way through your degree, you didn’t earn your ring. How fucking dare you accept one.
I'm just thinking of this:
This was the Sampoong Department Store in Seoul, South Korea.
This happened due to a series of incidents that all came back to the same thing: the owner was not an engineer and made his own modifications to change the building from apartments into a mall and maximize floor space, a sentence that here means "removed a shitload of necessary visible support structures and weakened the remaining ones while skimping on or even skipping necessary interior structures."
The building collapsed only five years after completion.
There was a meeting going on during the collapse as to whether the mall should be evacuated, with its owner-slash-"designer" saying no because he didn't want to lose the sales revenue. He and the other executives, of course, left before terminal collapse. If you're wondering how they pulled that off: the warning signs started in April. The building collapsed on 29 June. The terminal collapse began circa 5p KST and became complete at 5:52p. In between those two times, the owner still refused to close the mall.
502 people died.
This is the second-deadliest non-deliberate building collapse in recorded history.
This is what happens when a greedy person who doesn't know engineering design is allowed to build and own a mall.
Something something Cybertruck....
Something something data center....
Something something AI.
An engineer DID actually try to stop the owner from doing this. He got fired for his pains, although when the courts got involved he was able to show he had no responsibility for the collapse.
What happens when the engineer doesn't know the owner should be stopped, because they let Claude get their degree for them?
Sorry I cackled
i don’t believe teenage girls learn about gay fanfiction i think they each individually create the idea in their head first
Franz Kafka diary
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.
Monsieur Noir and the Red Teapot, 2026 by Elena Polishchuk (Russian, b. 1978); Oil on canvas, 60x60cm
yeah
This is art! 😍
Link to the thread so you can take a closer look at the photos