Life's rough enough that I finally set up a ko-fi. I do keep saying that I need to stop writing for free...though to be frank, right now anything helps, for those so inclined.
I explain that often times women and girls are excluded from stories in favor of a predominantly male cast because the author doesn’t value female narrative contributions nor considers them worthy of character development in their own rights independent of the men, so the result isn’t uplifting male relationships with romantic intentions, but simply sexist writing in its most basic form.
it's meee I'm your guardian angel hiiiiii 😇 okay🙏 so. in about six months, you're gonna die of starvation. 🥺 and if I don't protect you, I will get: #fired! 🫢 and that is No Good 🙅♀️ hahaaa So. 🙏 I looked into causes of starvation, and it turns out: Your death is totally preventable! 😯 Uh oh! 😆 There's more than enough food to sustain you without interfering with anyone else's survival, but you're not allowed to have it! 🤨 Whaaat? 🤷♀️ Apparently, your death is premeditated by thousands of things called "shareholders." So. 🙏 I've been killing people,
soy yooo tu ángel de la guarda holiiiiii 😇 okay🙏 bueno. en como seis meses, vas a morir de hambre. 🥺 y si no te protejo, me van a: #¡despedir! 🫢 y eso No esta Chido 🙅♀️jajaaa Entonces. 🙏investigue acerca del tema y resulta que: ¡puedo prevenir tu muerte al 100%! 😯 ¡Uh oh! 😆 Hay más que suficiente comida para que sobrevivas sin que interfieras con la supervivencia de los demás, ¡pero no puedes teneral! 🤨 ¿Queeeé? 🤷♀️ Al parecer, tu muerte fue premeditada por miles de cosas llamadas "accionistas." Y bueno. 🙏 empeze a matar personas,
c'est moooi ton ange gardien coucooou 😇 bon 🙏 alors. dans genre six mois, tu vas mourir de faim. 🥺 et si je te protège pas, je vais me faire: #virer ! 🫢 et ça c'est pas Pas Super 🙅♀️ hahaaa Donc. 🙏 j'ai fait mes recherches sur les causes de famine et devine quoi: Ta mort est 100% évitable ! 😯 Oh-oh ! 😆 Il y a largement assez de ressources pour te nourrir sans interférer avec la survie d'autrui, mais tu n'y as pas accès ! 🤨 Quoooi ? 🤷♀️ Apparemment ta mort a été préméditée par des milliers de trucs appelées des "actionnaires". Du coup.🙏 j'ai tué pas mal de monde,
it's funny how a male character can be a huge asshole and will be my absolute least favorite but the second i smell a whiff of transfemininity i'm like "i forgive her i mean she's got a lot to work through yknow"
I took my little brother (autistic, mostly non verbal) out and he was using his voice keyboard to tell me something, and this little boy (maybe 4 or 5?) heard him and asked me "Is he a robot??" I tried to explain to him that no, he isn't a robot, he just communicates differently, but my darling brother was in the background max volume "I am robot I am robot I am robot I am robot"
My little brother insisted if I was going to post about him, he wanted a cut of the "profits". When I explained to him that Tumblr isn't monetized, and is pretty pointless, he and my older brother pointed out that he'd still be bringing me "fame and notoriety" if the post got "big". So we agreed, if the post hit 10k notes, which seemed extremely farfetched and silly at the time, I'd take my little brother out for sushi (his favorite food) and let him eat as much as he wants.
I guess God wanted the little robot to enjoy some sushi 🍣 🥲
Digital circus' biggest problem is that it was written to be a niche show aimed at weird analytical queers with actual media literacy and it accidentally blew tf up and hit the mainstream and a bunch of people who have never had a second thought about anything got into it
Happy pride month to my dad. When I came out as bi to him, this man googled what it ment, look at me and said "ohh. Yeah. You get that from me. You'd have far more siblings of I only shaged women." And went right back to his work emails.
in my high school a few years ahead of me there was a polyamorous girl named luna who was dating a guy and a girl and the girl was named (i swear to god this is her birth name) marea. they were named moon and tide and they were lesbian lovers. i thought it was the most romantic fated thing ever as a tiny baby queer it would make me sigh in adoration. the boyfriend's name was frank
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.
this doesnt just go for lesbians it goes for bi women and straight women too. i cant even count how many times straight women have told me “i wish i was a lesbian so i didnt have to date men” but guess what … u Dont have to date men
to be clear this also isnt necessarily saying ‘go date women instead!!’ its just saying…. u dont have to date men. u dont have to be dating women in order to not date men! in fact if ur not attracted to women at all please dont date women just as a substitute for men. but if dating men isnt making u happy… u dont have to do that. u dont have to make a space in ur life for men
I want to trap the can't-read-3rd-person poster in the same room as one of those people who hates 1st person so much they want to wipe it from the universe (usually through not being widely read and only encountering 1st person ever in a particularly annoying type of YA fiction). then we'd see who wins, and if they manage to overcome their differences and fall in love. i think i could make a whole anime out of that
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