If minimum wage you'd like to make,
This ancient quiz you'll have to take.
Step right up, but be prepared.
Those who fail are poverty-snared.
Question One!
If your labor proves most fruitful,
Raking quarters by the bootful,
Who should excess profits reap,
Me the wolf or you the sheep?
Question Two!
If, by merit, you're made pope,
What will be your fervent hope?
Law and order justly paired?
Or mercy and the guilty spared?
Question Three!
If a train should leave Topeka
Driven by a solar squeaker,
How then should the cat behave?
Give it milk or give it grave?
Question Four!
Do you have a criminal record?
i think we should be ridiculing them more for this. you don't get to try and go all "queer website" when your staff likes to go on nuking sprees targeting the trans fem users
would be remiss not to mention that the rainbow notably straight up just removed the trans flag colors from it. like they’re gone. it’s the progress flag minus the trans flag colors.
Recently a federal court case of gender discrimination in Australia was won by a trans woman, Ms Roxanne Tickle (absolute Queen, hope the rest of her life is filled with joy).
But because she won, some right-wingers in government have said they want to change the Sex Discrimination Act to exclude trans and intersex people.
So if you live in Aus please consider signing this petition by Equality Australia
Our protections matter Our communities are facing some of the most serious attacks on our rights and protections in many years. Right now,
and if you want send your local Federal MP an email, letter, give them a phone call or hell, show up at their office for a chat (you are allowed!).
Reblogging again now that Russell Brand's ugly mug is back in the news to remind everyone that in the 2023 Times expose on his abusive behaviour, Daniel Sloss was the only male comedian willing to be named and quoted like "yeah that dude's a scumbag and women have been warning each other about him for years."
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.
you can download current and past hi-res versions of these over at my ko-fi (ok to print for personal use): https://ko-fi.com/mxmorgan/shop/freedownloads
you can also snag shirts here which go to various orgs: https://mxmorgan.threadless.com/collections/pride
these get reposted a whole lot from here to reddit to twitter to tiktok and on and on, and i don't personally care whether or not i'm credited. i made these for everyone to use, enjoy, and find meaning in them. i appreciate folks who do credit me, but if able, please at least link to the threadless shop in the previous post - folks can get an official shirt where 90% of earnings go to trans led orgs focused on mental health (which is an important matter in general, but very personal to me) and not from a scam bot site selling AI-churned maga garbage where you probably won't get one anyway. i also suggest downloading the files from my ko-fi - they are free/PWYW and you can use them to make your own shirt, patch, embroidery project, whatever. tips are always nice, cuz i do like a pizza now and then, but never required for download.
final thought - breaking the pride tradition and more than likely won't make a new piece. the top one from TDOV is all i'm making this year. i have my focus on other projects currently and i don't want to force a poster design. these came from a specific head space and my current head space is Very Tired lmao so i wanna work on other things. 👍
Out with a friend, their tire goes flat. We can change a tire but are struggling to get the jack out? Sunday so no repair places open nearby, have AAA but they'll take forever.
We're parked outside a craft store (unhelpful) but we are near a Bunnings (hardware/garden megastore). My suggestion "let's go to the Bunnings car park. Some random guy will help"
Went to Bunnings. I got out, sat on the edge of the open boot with the spare between my knees.
Less than a minute later and some random Bunnings bloke parks and asks if we need a hand.
I might not be able to work a jack, but I know how to get Jack to help.
Out with a friend, their tire goes flat. We can change a tire but are struggling to get the jack out? Sunday so no repair places open nearby, have AAA but they'll take forever.
We're parked outside a craft store (unhelpful) but we are near a Bunnings (hardware/garden megastore). My suggestion "let's go to the Bunnings car park. Some random guy will help"
Went to Bunnings. I got out, sat on the edge of the open boot with the spare between my knees.
Less than a minute later and some random Bunnings bloke parks and asks if we need a hand.
I might not be able to work a jack, but I know how to get Jack to help.
a character being a perpetrator does not negate their victimhood and neither does their victimhood negate being a perpetrator. u can accept and reckon w both dimensions in ur analysis
The funniest trans headcanon for the Fire Siblings is that they're both trans and they just took each other's deadname. Their mother was supportive and their father just didn't notice because he doesn't give a fuck about his kids.
Ozai: Azula, my eldest. You're a failure and I hate you.
Zuko: I'm Zuko.
Ozai: I thought Zuko was the shorter one?
Azula: No, you're confused. Zuko is the one that sucks at firebending.
Zuko: Hey!
Ozai: Ah yes, of course.
Ozai: Zuko, my eldest. You're a failure and I hate you.
One of the most annoying genres of people on the internet are people who act like they believe science is one single monolithic thing. Like, you'll see an article saying something like "scientists studying the movement of tectonic plates", and then in the comments there'll be several smug people saying "smh why are scientists doing this instead of finding a cure for cancer", like. Why would a geologist be doing that.
absolutely looosssinggg it. i'm so obsessed with movies which portray the woman MC in a highly specific job because the writers clearly think it's like "off-beat" and "quirky" but have no idea how the field works whatsoever.
i decided to try a romcom i somehow missed i the 2000s 'head over heels' and i got 3 and a half minutes in and we're introduced to the lonely MC with bad taste in men as evidenced by her extremely short list of ex boyfriends, including her first boyfriend when she was 11 or something because i guess that's still relevant in her adult life.
so she's resigned herself to never finding love and prefers to ignore men to focus all her energy into her career.
this job is immediately presented as though it's for spinsters with no hope of ever finding a man.
the mc's lesbian bestie (whose first line involves her being scolded for being too sexual in the workplace, but moving on) points out their colleagues as evidence that they're doomed to a romance-less, sexless life if they don't switch up their shared career path. the colleagues are three old women, so-dubbed "the menopause triplets":
these women are presented as if they have no idea what's going on at any given moment. this is 2001, and presumably this is an entry level job requiring low effort and no experience.
then their boss bursts into the room, unceremoniously bumping a large painting into the door jam and walls, announcing that it's a new project for our MC.
our MC is thrilled to see the painting. apparently it's a light in the daily slog at her dreary job for loser women with nothing going on in their lives.
And that job is? Conservator of paintings (specializing in Renaissance) at the New York City Metropolitan Museum of Art.
The painting being handled like an old couch on its way to the curb?
The Bacchanal of the Andrians by Titian.
Her lesbian colleague who is presumably also a a highly trained & skilled curator finds it depressing that the MC is so excited about the painting.
it's a quirk unique to this MC that she cares so much about paintings, in her department at the metropolitan museum of art, where her colleagues find all that art business rather dreary. because we all know that's what conservators in extremely competitive museum positions are like.
I'm not saying there can't be lifelong love in here somewhere but I also just feel like the monogamous heterosexual marriage you're fantasizing about isn't necessarily best represented by the bacchanal. and that's okay. but i do stand by that.
HELPPPP i'm on the phone with @sagaspell and i was like "women in these movies also always have like jobs for phds when they're 21 somehow" and saga said "no it's okay because chick flicks exist in an alternate reality with different age and societal rules, like the omegaverse"
This is a comment someone appended to a photo of two men apparently having sex in a very fancy room, but it’s also kind of an amazing two-line poem? “His Wife has filled his house with chintz” is a really elegant and beautiful counterbalancing of h, f, and s sounds, and “chintz” is a perfect word choice here—sonically pleasing and good at evoking nouveau riche tackiness. And then “to keep it real I fuck him on the floor” collapses that whole mood with short percussive sounds—but it’s still a perfect iambic pentameter line, robust and a lovely obscene contrast with the chintz in the first line. Well done, tumblr user jjbang8
I went back to dig up this post because I was thinking about poetry.
This is one of those non-poem things that are among my favorite poems.
As the OP stated, the use of alliterative consonants is aesthetically just great, especially the placement of the strongest use at the end: “fuck him on the floor.” The use of “chintz” is indeed great word choice.
Because I’m insane, decided to scan the poem:
Not only is the second sentence, indeed, perfect iambic pentameter, the entire poem is perfectly metered, though the first sentence has four iambs rather than five.
There are further things I love about this poem, though: I like the casual connotations of “keep it real” juxtaposed with “chintz.” It causes me to interpret the “chintz” more strongly as meaning something fake, a facade. There is also of course the coarseness of “fuck,” which is a contrast with “chintz” but a different kind of contrast, gutsy and carnal where “chintz” is flimsy and inanimate.
And then there is the storytelling: there is SO MUCH storytelling in just these two lines. To break it down: The speaker is having sex with a married man, in the house he shares with his wife, which is “filled with chintz”—something that here connotes fakeness, in contrast with “keep it real.”
The illicit encounter in the poem takes place within a house filled with facade, the flimsy construction of the wife’s marriage and domestic sphere, but the encounter itself is a taste of something “real.” That’s a story, and it’s just two lines.
This is EIGHTEEN SYLLABLES, y’all. The amount of meaning condensed into these eighteen syllables is stunning, and it is so elegantly done.
From a technical standpoint (and ive taken 300- and 400-level poetry classes so I can say this) this is damn near flawless as a poem.
Ah dang to go further; the floor is framed as a refuge. As if there is literally no other space in this house that hasn't been populated by his wife with flimsy inanimate fakery. There is no space for this man in this house save for the floor. There is no space for him on the sofa, oon the counter tops, and most notably, no space for him in the marital bed.
I’d also like to point out the use of the word “has.” The wife has filled the house with chintz. She isn’t filling the house with chintz. She doesn’t fill the house with chintz. She has filled the house with chintz. Use of the past-tense makes the wife a subtly removed element in the story, someone whose presence we see in the environment, but who is blissfully distant during the actors throes of passion. There is an element of physical as well as emotional separation from the wife that is catalyzed by being fucked on the floor. Use of the past tense is an end to the wife presence in the actors life, a carnal catharsis amid cold fragility and emotional distance.
what's that one thing where they asked how ripely from alien was so realistic and believable as a female character in scifi for once and they were like "well we just took the dude from the original script and made him a girl and changed nothing else. it works bc men and women are the same?" and people were like "woah no way" and then didn't learn anything from that for 20 years
"how do you write such believable men as a woman?" "how do you write such believable women a man?" and the answer people who are good at it always give is "i just write people. were literally the exactly the same. do you think the opposite sex is some sorta totally different animal???" and people respond "woah that's wild. yea i do. and im not gonna stop thinking that goodbye :)"
