given the current climate this pride especially i feel i must mention that i love my trans friends, i stand with trans people in the fight against transphobic legislation and those who would enforce it, and this blog is not a good place for you to be if you do not vibe with that
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med people are so annoying "This family's 8 year old child who was about to go through a major surgery and kept crying that she was hungry so they pitied her and gave her food, she then had a heart attack in the surgery. They're so stupid 😒" girl they didn't know that could happen or why it happens. it takes so little time to explain to them that will happen instead of telling them "no food" with no explanation 10 times
"Before surgery, your body’s reflexes that protect your airway are relaxed by anesthesia. If there’s food or liquid in your stomach, it will near certainly come back up and go into your lungs, which can cause choking, a severe lung / heart infection or even a heart attack. That’s called aspiration, and it is life-threatening. It's hard, but it's only a single day to prevent near certain death. Not eating or drinking beforehand massively lowers the risk and helps prevent these life threatening situations under anesthesia." <- TIP: patients have brains which allows them to receive information just like you
I have four kids. I’ve had one or another of them need some kind of surgical procedure that requires anesthesia four or five times over the past 15 years.
This Tumblr post is the first time someone has explained to me *why* I couldn’t feed them before those instances.
I’m not stupid. I understood that just fine. Hell, my kids would have understood that just fine. But no one bothered to tell us.
i did know this before having kids (i have six). we have a kid that's needed multiple procedures requiring anesthesia. and every single time, i am asked multiple times if i'm sure he was not given any food or water after a certain point.
every single time i have had to say, "i understand that if he had food or water, he could aspirate it into his lungs under anesthesia. i am not lying to you." THEN someone would make a little note and i would stop being repeatedly asked.
not a single time was that risk explained to me. the only reason it came up was because i already knew. i still don't understand why it isn't standard pre-op counseling or pre-op check information, when me as a parent acknowledging the actual risk also put THE MEDICAL STAFF at ease because i conveyed that i had informed understanding as reason to not lie about giving my kid food.
"maybe some people will get nervous and refuse surgery" okay so they need more counseling about risks and anxiety, not less information in a way that actually does endanger their child or themselves!
I think it would be funny to write a murder mystery where not only did every single character involved have an obvious motive to kill this mf, they were actually all attempting to murder him first, but the murder attempts all cancelled each other out all except for one. Two people tried to poison him but the poisons just happen to work as antidotes for each other, and instead of killing him only gave him the shits, and due to having the shits he couldn't go hunting that day like he had planned, foiling the plans of the one who had conditioned his favourite hunting horse to panic and bolt at the cue of a whistle, and the other murder attempt of tampering with his gun so that it would have exploded his whole face off.
The whole mystery isn't about who could have done it or how, but who was the one who got lucky and actually succeeded.
When I was in high school a friend of mine would host murder mystery dinners once or twice a year. They were the kind you could buy as a kit -- I don't even know if they exist anymore -- and everyone was assigned (or chose) a character, then received a booklet of clues to share. The idea was to spend an evening in a one-shot LARP designed like an Agatha Christie novel.
I was a year above most of them at school so they threw a "goodbye" murder mystery for me just before graduation, and about 2/3 of the way through the game we all realized that everyone had at least attempted to kill the victim. The game then shifted from "whodunnit" to "who succeeded in dunninit" which we all felt was not only super fun but above the usual level of narrative complexity for those games.
After we solved it, we discovered that the game wasn't from a kit -- the host had written it herself and meticulously printed out the booklets in replica style of the kits. It was the best going-away party I think I could possibly have had.
Over twenty years ago my big brother got me a job at a Taco Bell in the St. Louis suburbs-West County. He warned me that it was the “gay Taco Bell”, but since I was coming from the “gay Howard Johnson’s” I wasn’t shocked. It turns out it was the black trans women Taco Bell complete with black trans women in management. And they’d worked out an arrangement with the local teen Narcotics Anonymous group so that twice a week we would shut down the drive thru and the dining room and exclusively serve 60+ teens in various stages of recovery. And many of the women I worked with were in various stages of being out or transitioning and they were from all generations from teens to over 50. One woman I worked with had a regular corporate job presenting as a man 9-5 Mon-Fri and then came to Taco Bell and worked 6pm -2am Friday and Saturday night so she could be herself surrounded by other black transwomen in those stolen weekends. And we had customers come from all over the metro area because they knew they could be themselves in the dining room. I only worked there from 1999-2001 but for young me, this was a vital, formative experience. Some of the girls came from north city all the way out to the “gay Taco Bell” on Manchester in west county because they heard it was safe to work there. Like- I know times have changed but they haven’t changed much in 20 years. I’m still convinced that for lgbt youth, finding a job at your city’s version of the “gay Taco Bell” is key to survival.
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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.
Sometimes I think people’s complaints about queer genre fic boil down to them wanting litfic and not knowing there’s queer litfic. If you wish to read about sad lesbian adjunct professors having unsatisfying sex, rejoice! NPR has reviewed it for you
Sorry for us politics posting, but we have until May 22, 2026 to submit public comment to the FCC:
More info from GLAAD:
https://glaad.org/fcc/
They have some good tips about writing a comment and protecting your privacy which, fuck it, I'll just paste here:
Providing an email address is optional. If you have concerns about privacy, you may use your initials or public address in your local area, such as City Hall. Do not use a joke name. It diminishes the comment’s credibility.
Your submission does not need to be long. A single, well-reasoned paragraph is sufficient.
Do not copy/paste a template comment. The FCC values unique perspectives, and an original comment carries significantly more weight in the public record. You can explain why this matters to you without revealing private or sensitive personal information.
Here's what I said:
“Free speech is a fundamental American freedom. I do not need a warning about seeing queer people, much like I do not need a warning about women, veterans, or any other group of people.”
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Lego's Q3 2025 earnings announcement, October 2025
So Lego just posted another monster quarter and everyone's doing the usual "timeless appeal of analog play in the digital age" garbage and like, no, the actual story is that Lego is a privately-held Danish family company that spent the 2000s nearly going bankrupt and came out of it having figured something out that almost nobody in consumer products has figured out, which is that your core IP is the manufacturing tolerance.
Here's what I mean. A Lego brick made in 1958 still clicks perfectly onto a Lego brick made last week. That is not a marketing claim, it's a manufacturing fact, and it's enforced by tolerances measured in like two thousandths of a millimeter — the stud diameter variance on a standard 2x4 brick is famously smaller than most medical device manufacturers hit on parts going inside human bodies. Which sounds like trivia until you realize it's the entire business model: every brick ever made is compatible with every brick that will ever be made, which means the installed base isn't a depreciating asset, it's an appreciating one, because every new set expands what you can do with the bricks already in your kid's bin (and your bin, and your dad's bin in the attic).
Now compare this to basically every other toy category. Hot Wheels from 1972 don't interface with Hot Wheels from 2024 in any meaningful way — they're both little cars, sure, but the track systems have changed, the scales have drifted, the accessories are incompatible. Barbie has gone through probably a dozen body molds. American Girl dolls from the 90s have different proportions than the current ones. The entire video game industry is structured around planned incompatibility — your Switch games don't work on Switch 2, your Xbox 360 discs mostly don't work on Series X. Incompatibility is the business model, it's how you get people to rebuy.
Lego said no. Lego said the brick from 1958 will fit the brick from 2058. And this is insane, if you think about it, because it means they have voluntarily foreclosed on the single most powerful lever in consumer products, which is forcing obsolescence. Every company that sells a durable good spends enormous amounts of R&D figuring out how to make this year's product not work with last year's product without pissing the customer off too much. Apple is a master at this, Microsoft is slightly worse at it, car companies have built entire industries on it (proprietary charging connectors, OBD-II access, right-to-repair fights). Lego just... doesn't do it.
What they get in return — and this is the thing the "timeless analog charm" people miss — is that the brick becomes infrastructure. A Lego brick is not really a toy. It's a piece of durable manufacturing infrastructure that gets distributed into hundreds of millions of homes worldwide, and every new set is basically an expansion pack for an operating system that already has universal install. Which means the network effects are doing most of the work. When a grandparent buys a Lego set for a kid, they're not buying "a toy" in the sense that a Mattel product is a toy — they're depositing compatible substrate into an accumulating household stockpile, and every deposit raises the marginal utility of the next deposit.
This is also why the IP licensing deals (Star Wars, Harry Potter, the recent Nintendo stuff) work for them in a way they work for basically nobody else. When Hasbro does a Star Wars license, they're making Star Wars figures that sit on a shelf. When Lego does a Star Wars license, they're making bricks in Star Wars configurations, which means even if the kid loses interest in Star Wars in six months, the bricks get absorbed into the general pool and keep producing value. The license is temporary, the substrate is permanent, and the substrate was already the valuable part.
The near-death experience in the early 2000s is the instructive piece here, because Lego almost lost this. They went on a diversification binge — theme parks, video games, clothing, Galidor (look it up, it's hilarious) — and they started loosening the tolerances on the actual bricks because the bricks were seen as a commodity and the "brand" was seen as the valuable part. Which is exactly backwards. Jørgen Vig Knudstorp comes in in 2004, basically says the bricks are the company, tightens tolerances back up, narrows the product line, and the company starts printing money again. The takeaway the business press drew was "focus on your core competency" which is such a domesticated reading of what actually happened — the actual lesson is "the boring manufacturing discipline IS the moat, and when you think the brand is the moat, you are about to destroy the company."
Which is interesting because right now there's a huge knockoff market — Mega Bloks, Chinese brands like Lepin (which got sued into oblivion), various others — and they make bricks that are almost compatible with Lego. Almost. And it turns out almost-compatible is actually worse than incompatible, because when a kid tries to fit a knockoff into a real Lego build and the stud is 0.03mm off, the whole structure gets wobbly, and the kid learns not to mix them. The tolerance is a credential. You can counterfeit the shape but you can't counterfeit sub-thousandth precision at scale without becoming, essentially, Lego.
Anyway, the Q3 number is like 13% up year-over-year in a consumer products environment where basically nothing is growing, and the analyst takes are all about "emotional connection" and "intergenerational brand equity" which — sure, fine, those are downstream effects. The upstream cause is that a Danish family spent fifty years obsessing over whether their plastic rectangles were within two thousandths of a millimeter of spec, and it turned out that was the whole game.
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