i know things are hella grim in the nsfw/kink art circles especially in the last year --
but I'm hearing there's a NSFW-friendly ko-fi alternative built on atproto that's actively in the works, and being vetted by lawyers right now. as torrent-princess (OP) says, you should be able to swap out payment processors while keeping your account intact. this matters since even if stripe removes support, you'll still have a shop and all of your links intact. (ATproto is an infrastructure that bsky is built on, but is far bigger than bsky with far more opportunities.)
additionally, the Free Speech Coalition is working on a credit union specifically for adult work (including kink art) - here's the link so you can add your interest & support. Since this will be built by sex workers, there'll be far less risk of being debanked for spurious and puritanical reasons.
on a domain TLD level, there's an initiative here for a .furry domain built from the ground up by seasoned furries; it's unclear whether they'll support NSFW, but it's yet another promising turn of events for a group that's been similarly affected by censorship.
there are friends and allies out there helping to build a working parallel infrastructure. keep being vocal, keep supporting these initiatives when it's possible, and keep supporting your nsfw/kink artists. ♥
people reblogging this talking about the english language. fuck the english language. the fascinating thing here isn’t how you pronounce it, it’s his amazing teaching skills. monolingual people be quiet for once challenge
Why is it easier and more comfortable to sit in a position that actively damages my joints than it is to just sit with okay posture. Why does my body crave its own destruction
Listen, marketing-as-exploitation discussions aside, Rainbow Capitalism is, has been, and continues to be the canary in the coal mine of social acceptance for the queer community.
If you’ll all pardon my Americentrism for a moment, the amount, visibility, and flamboyance of Pride merch available in clothing, home goods, and comestibles stores is a DIRECT reflection of how safe it is to be queer in public in the United States.
How? Simple. Out groups aren’t profitable. If you’re not “acceptable” in the current social climate, big franchise businesses will not market to you. (Prime example - Look how quickly Target dropped all their Pride merch after having been wall-to-wall rainbows every June for almost a decade prior.)
Sure, capitalism sucks and being viewed as an exploitable marketing demographic isn’t a fun concept.
HOWEVER.
The grim truth is that being normalized enough to be considered profitable by corporations IS A GOOD THING in terms of the barometer of social acceptance.
Same thing goes for smaller businesses that throw kitschy Pride events or even just put a token rainbow flag in the window or somewhere inside the shop. That’s a level of acceptance that DID NOT EXIST thirty years ago, and I can tell you because I was there.
The fact that we can scoff and bitch about being an exploitable marketing demographic nowadays means we have made GIGANTIC strides since the 1990s. It also speaks to the fact that the drive and the conversation surrounding LGBTQ+ rights and acceptance are continuing. And getting louder.
You can be cynical about it if you want. But I will take a store that puts out lip-service rainbow merch over a world that pretends we don’t exist any day of the week. Because that will always mean something.
Agreed, and also, it has always struck me as a little bit of a double-standard in queer politics when people used to point out the exclusion of queerness from mainstream capitalist products as evidence of their marginalization (e.g., there are no m/m or f/f wedding cards)
Yet, when they start being included, they are like “well, that’s just capitalism taking advantage of us, so it doesn’t count.” Like, you can’t use your EXCLUSION from something as evidence of general societal marginalization and then claim that once you’ve started to be included, it is politically meaningless. You don’t really get to have it both ways. That’s moving the political goal posts.
I get that we shouldn’t consider Target pride merchandise as like the pinnacle of queer politics or even the pinnacle of queer inclusion. I get that inclusion in capitalist intuitions is a very ambivalent form of social progress. But the truth is, capitalism is a big part of what creates our social reality right now (unfortunately).
Capitalism makes TV shows, and movies, and books, and ads, and greeting cards, and toys, and clothing, and, and…
When every single aspect of commercial social reality excludes queerness, that DOES create a real sense of social alienation. I don’t love that capitalism is responsible for creating so much of our collective social reality. But granting that it does, I think we’re forced to accept that our inclusion in it IS politically and socially important.
And yes we should still be trying to resist capitalism as the primary means of meeting human needs. But we can resist treating capitalism as an inevitability or an inherent good, AND ALSO acknowledge that our inclusion within it remains politically important while it still holds so much power and responsibility for creating our shared reality.
See also a recent article from NPR (published May 30, 2026) discussing how pride celebrations have struggled financially with the loss of corporate sponsorships. Organizing big visible events (and fairly compensating the labor of those who make them possible) is expensive.
Public support for the LGBTQ+ community by corporations has become politically risky, public relations expert says.
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.
HOLY SHIT GUYS, I WAS INSPIRED BY THIS POST TO TRY MAKE THE SONG AND YOU WOULD NOT BELIEVE THE SCREAM I SCRUMPT WHEN I DRAGGED THE TRAINING AUDIO OVER THE BACKING TRACK AND IT LINED UP PERFECTLY
This might have been asked already, but what word processor do you use for your writing? Kinda worried about anything I write in google docs/ Microsoft word being eaten by ai
Scientists have developed a breakthrough “superfood” for honeybees by engineering yeast to produce the essential nutrients normally found in
TLDR- Modern agriculture pollen is low in nutrients, and there aren’t enough wildflowers. Science has to develop vitamins to supplement the diets of agricultural bees. So plant some wildflowers for the wild bees near you.
What they aren't telling these kids that's really dangerous is that if you do make it all the way to the heart of a Scientology building, the autosave will lock you into entering the Tom Cruise boss fight chamber, and you won't be able to leave until you defeat him in combat.
No one is free until everyone is free @phae-touched - Tumblr Blog | Tumgag
