◊ ♦ ◊ ♦ ◊ “My goal is to always come from a place of love, but sometimes you just have to break it down for a motherfucker.” — RuPaul ◊ ♦ ◊ ♦ ◊ (dhara; thirty-thousand years old; desi) …and now with ko-fi! https://ko-fi.com/dhara7
I originally wrote this in a reblog response, but I’m making a separate post because I am so fucking tired of the insane discourse on this hellsite:
acknowledging that one is always fundamentally & forever affected by the material reality of one’s sex =/= being resigned to one’s assigned sex role under the patriarchy. acknowledging the existence of sex-based oppression =/= capitulating (or forcing anyone else to capitulate!) to gendered expectations & roles
if folks could just internalize this one fucking idea, it would cut out a lot of braindead discourse and counter-productive dipshittery that only serves to kneecap all women and all trans people
In various ways & to varying degrees, we are all getting fucked over. If we don’t have each other’s backs, nobody else will. If we don’t figure out how to build coalitions with one another for our goals, nobody else will do it for us. If we don’t figure out how we can be honest about the differences in our lived experiences and the specificity of our material conditions, and still stand unified in community with one another, nobody is going to do it for us.
We are all completely fucking fucked. Acknowledging that we are not all grappling with the exact same axes of oppression in the exact same way doesn’t mean we have to play Oppression Olympics and it doesn’t make anyone’s life experience or struggle or anything less meaningful or impactful or authentic or worthy of care. Because WE ARE ALL COMPLETELY FUCKING FUCKED & IF WE DO NOT GET OUR SHIT TOGETHER, WE ARE NOT MAKING IT OUT OF HERE.
I honestly think Gen-Z and younger simply does not understand how recent widespread smartphone adoption is.
I am not that old, and I didn't have a smartphone until probably late high school. For most of my life, many if not most people were not walking around with a magic internet machine in their pocket that they pulled out and used constantly for everything.
The world is oftentimes such an ugly place, but sometimes it can be so beautiful.
Like, when two choirs, one from Croatia and the other from Zimbabwe, met on the opposite sides of a Lisbon subway station and both sang to each other.
I unfortunately do not know what the Zimbabwe children choir sang to them (although it was so beautiful), but the Croatian klapa Kastav sang 'Kuća puna naroda' (a house full of people).
And let my reward be a house full of people,
my life, give me a voice, so I can embrace you with songs.
“Protestant” is often used as a catch-all, but it flattens the depth of protestantism. There are many types of protestants. Presbyterians. Lutherans. Baptists. Continental reformed. Methodists. The Society of St Pius X.
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 wouldn’t think that flamingoes are extremophiles just from looking at them. It’s like somebody tried to build the vertebrate equivalent of that fungus that lives inside nuclear reactors, and ended up with a gangly pink dinosaur with a spoon for a face.
For everyone in the comments asking how flamingos are extremophiles:
Flamingos can survive in low oxygen, high altitude, high temperatures, low temperatures, high alkaline, they can and will drink boiling water and they can be completely frozen at night and still get up the next morning
Oh yeah, this leaves out what I *did* know about them–they can also survive hypersalinity. That is, water so salty it kills practically everything else–water so salty it burns your skin.
(animal death) this is a real undoctored photograph (*though the body was stood up for the shot) of a dead flamingo on the surface of lake natron, a lake so salty and so alkaline that it’s naturally carbonated like soda and would eat through your stomach lining if you drank from it.
When this photo went viral years ago, most people assumed this poor flamingo must have been killed by the lake.
It is actually the lake where 75% of its global population are hatched. This is a photo from the same lake:
Some species of flamingo actually subsist almost entirely on a diet of bacteria! In other words, there is a species of dinosaur that eats only bacteria and lives in lakes so toxic they would kill almost anything else—and it is best known to the average person as a kitschy lawn decoration.
Flamingos can survive in high altitudes, hypersaline conditions, and caustic lakes.
Source: ‘All flamingo species have evolved to live in some of the planet’s most extreme wetlands, like caustic “soda lakes”, hypersaline lagoons or high-altitude salt flats.’
They can survive water so alkaline it burns human skin.
Source: ‘More than a million lesser flamingos breed in Tanzania’s Lake Natron, for instance, a lake fed by hot springs with water so alkaline that it can strip away human skin (one pioneering flamingo researcher named Leslie Brown spent months in Nairobi General Hospital after burning his legs wading out to observe where the birds nested).’
They can drink water at near-boiling temperatures.
Source: ‘They can drink water at near boiling point to collect freshwater from springs and geysers at lake edges. If no freshwater is available, flamingos can use glands in their head that remove salt, draining it out from their nasal cavity.’
The lakes they inhabit can freeze overnight, and the flamingos can survive once it thaws in the morning.
Source: ‘The birds may seem to epitomize the tropics, but they also live in the Andes, 15,000 feet above sea level, where they rest on lakes that freeze around them overnight.
“You’ll see them sitting there like snowballs, frozen on ice,” Dr. Arengo said. “And as the temperature warms up, they thaw out, fluff themselves up and go about their business.”’
The photo is indeed from Lake Natron, taken by photographer Nick Brandt. The content of the lake chemically preserves animal corpses that die there. You can see more photos of this here.
It is also true that 75% of Lesser Flamingos are hatches on Lake Natron.
Source: ‘The lake’s landscape is surreal and deadly—and made even more bizarre by the fact that it’s the place where nearly 75 percent of the world’s lesser flamingos are born.’
Some species of Flamingo eat cyanobacteria or algae.
Source: ‘Flamingos have very specialised diets. And their food is responsible for their famous pink colouration. The two species in Planet Earth II eat a lot of floating microscopic algae, which contains carotenoid pigments, the same types of chemical that make carrots orange. These pigments turn their feathers pink, orange and red – without them, flamingos would be white.’
so i hauve covid rn and i must say, American cold medicine is the absolute bees knees. You go to a UK pharmacy and they tenderly press like eight (8) paracetamol into the palm of your hand... God FORBID you're sick in France, i had to scour every pharmacy in Paris for something that wasn't HOMEOPATHIC PASTILLES. meanwhile last night i took the last of my stash of Nyquil that expired in 2019 and it was like getting hit by a fucking baseball bat (affectionate). press X to timeskip. LOVE me a cheeky little medically induced coma. you can really feel that it's a precursor to meth. i know that everything is fucking awful over there my friedns and my heart goes out to every one of you but if you need one small bright light of national pride in this time of strife please know that i envy you your cold medicine every day
i once took an american antihistamine pill just a basic one for seasonal allergies and i had to immediately lay down and while doing so i vividly hallucinated that i was a steerage passenger on the titanic resigned to my death as my cabin filled up rapidly with water. then i blacked out and when i woke up again my allergies were gone for the entire season.
It is so disingenuous when supermarkets have "grown by: Farmer X" on their packaging because it's like, I'll be looking at a pack of strawberries grown by farmer x and he'll actually be the managing director of a fruit farm that employs 2,000 people as pickers!
It feels like the mental idea of what a "farmer" is hasn't caught up with the economic reality of the past 200 years, where people hear "farmer" and think of small, rural, poor, honest (and specifically ethnically and culturally native) subsistance living, and not essentially a factory owner where the factory is made of dirt and manufactures strawberries, staffed by hundreds of cheap immigrant labourers.
Labourers who, it seems, are rarely ever *referred to* as 'farmers', despite being the ones who do the farming, as opposed to being the ones who own the farm.
I agree with this as an accurate description of 21st century agriculture AND I also feel like one should still, in the 21st century, picture the Earl of Grantham and/or Scarlett O’Hara.
for roses, too @broadlybrazen - Tumblr Blog | Tumgag
