I feel like some people need to relearn Genre Expectations... "Man, this tragedy sucks!!! Why didn't they just do XYZ, then everything could have ended happily!!" well, then it wouldn't be a tragedy, would it. "Man, this lighthearted teen romcom is terrible, it's so sappy and unrealistic!!" Well, yeah. If it had been gritty and dark, it wouldn't have been a lighthearted romcom, would it. Is the writing actually bad or are you just trying to order a milkshake from a Home Depot
He shouldn't be doing this; neither of you should be doing this.
Yet even as the neighbourhood's block party rages outside, the two of you are still going, still fucking like he isn't your next-door neighbour and new friend of your father, but the idea of stopping makes him groan with dissatisfaction. The two of you are too far gone to stop now, not since he's already two loads deep and working on a third, and certainly not now that he's finally got you worked open enough that your whimpering and twitching had become limp moans, weak bucking hips, and fingers white at the knuckles as you grip the ruined sheets under you.
Fuck, he should pull out, should have done that the first time he came, but in for a penny, in for a pound.
So he's groaning, grinding his hips into your ass as he cums, still pumping thick ropes into you as his cock visibly pulses with his high. Shit, as he pulls back, the flare of the tip of his cock is the only thing that keeps most of this load and the last inside you, licking his lips, he grunts before pushing forward again, still hard and still ready to go just one more round.
Just one more round, he's been muttering that to you since the first jerk of his hips, since well before the two of you stumbled into bed together, if the long nights alone looking at all those pretty beach pictures of you and your friends out drinking have anything to say for themselves. He's only just got you like this, and he's not willing to let you go just yet. An old bull like him can still pull a few more tricks, and maybe a few more orgasms out of you before he calls it a night.
For once in his life, the weight of his horns is beginning to get to him, the two heavy bone protrusions and their gold band decorations making his neck hurt as he looks down at where his cock disappears into you again.
Fuck it, he'll book a massage for the both of you tomorrow, but for now he needs to make up for all the cum that dribbled out of you, and he needs to make up for it now.
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.
THE CRAFT (1996) — Dir. Andrew Fleming
JAWBREAKER (1999) — Dir. Darren Stein
GINGER SNAPS (2001) — Dir. John Fawcett
MEAN GIRLS (2004) — Dir. Mark Waters
JENNIFER'S BODY (2009) — Dir. Karyn Kusama
A patient, explaining what their relationship is to their new visitor who was headed up to see them, said, “he’s my guardian,” and I said “oh I didn’t you had a legal guardian,” and the patient said, “he’s not my legal guardian, he’s my spiritual and physical guardian. He is also my brother. Well, I say he’s my brother. He’s like a brother. He’s my husband.” And I say this with genuinely no judgment, just pure curiosity, what
Oh my dear, sweet children. The Commodore 64 came out in 1982. This was produced on a typewriter and probably mimeographed. And while it may seem funny now, it took more courage to write and distribute this than you will ever know.
Children, in the olden days fanfiction was written on a typewriter, copied and sent by snail mail. Getting one one of those letters from across the world was every bit as exciting as getting a notification that your favorite writer posted a new fic.
It’s been said before, but the fact that this fic begins with the dialogue assertion “We’re by no means setting a precedent” is endlessly amusing to me.
Diane Marchant changed all our lives. May she rest in peace.
The precedent line is especially amusing when you bear in mind that “A Fragment Out of Time” is not only the first Star Trek slashfic to be published in a widely distributed magazine: it’s believed by some to be the first slashfic of any kind to be widely published.
In 1974 it was illegal to send pornography through the USPS. So distributing fic like this via mailed newsletter was literally dangerous. And they knew it.
The shippiest thing I have ever seen on Wookieepedia is in the entry for the Open Circle Fleet, about the open circle symbol:
The heraldic emblem consisted of a yellow circle that was formed by two separate semi-circle arcs. One arc represented Kenobi, the other, Skywalker. The image signified that while they were both two independent halves, together they formed a single entity.
just watched an interview with james ortiz (rocky’s puppeteer) where he’s like “they were torturing ryan gosling for this movie. it was killing him. he was developing isolation sickness in real life from being the only actor on set for 6 months. i needed to be there for him even when rocky wasn’t in frame to serve as his guiding light and the sole thread tethering him to the concept of love. i was kneeling at the altar” and what
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stormborns
tangentwithtanner
kaledo-art
annaxmalina
jbbartram-illu
yousharknotpass
