She/Her, They/Them, 27, leftist, trans anarchist who wants to make the world a better place. imma actually start posting fuck it. I'm married to my wonderful partner. AUTISTIC AS FUCK, and proud of that.
My name is Ellie. I'm 27, and I'm poly (see i got there), and I'm married to my wonderful partner and wife. I live in the pnw, but I've lived in numerous places throughout the country. I'm an anarchocommunist, I will listen to what you have to say and meet eye to eye with you if you aren't a nazi. I want to make the world a better place, one person at a time. I'm spiritual, and I'm okay with any religion or spiritual practice as long as you treat others and their beliefs with respect. I'm currently looking into Buddhism cause it intrigues me. I'm bisexual and a trans woman. I'll have been on hrt for 4 years this October. I've started doing stand-up and improv since originally writing this. Ifyou want to know more, send me an ask.
Minors don't interact
Terfs fuck off
Nazis can go die
Anyone who views my existence as forfeit for capital can throw any complaints they have into the suggestion box 🗑
NSFW
If you send me an ask with a kink that I'm not aware of, I'll look into it and get back to you.
I'm very much a private person in my day to day life, so I'm putting a lot out there. If you want to know anything, please ask, I'm willing to share.
Love you all, and may your energy guide you through the mycelium. Good luck, stay safe, don't fall in.
Should I post more pictures of myself existing on here?
I wanted to share some more of these, specifically trans women of color. The images I'm posting are from a project called To Survive On This Shore and it's an interview project. I am only posting a handful so it's so worth checking out!
This is Linda, 60
Alexis, 64
Helena, 63
Kendrah, 72 (!!)
Tasha, 65
It was deeply healing to me to discover this project. The site has selected photos and attached interviews and it's definitely worth your time. I didn't include any because the focus of this post imo is transfems but there are a lot of beautiful interviews with transmasc people too if you're interested! But that'll have to be another post 💖
I've been resource gathering for YEARS so now I am going to share my dragons hoard
Floorplanner. Design and furnish a house for you to use for having a consistent background in your comic or anything! Free, you need an account, easy to use, and you can save multiple houses.
Comparing Heights. Input the heights of characters to see what the different is between them. Great for keeping consistency. Free.
Magma. Draw online with friends in real time. Great for practice or hanging out. Free, paid plan available, account preferred.
Smithsonian Open Access. Loads of free images. Free.
SketchDaily. Lots of pose references, massive library, is set on a timer so you can practice quick figure drawing. Free.
SculptGL. A sculpting tool which I am yet to master, but you should be able to make whatever 3d object you like with it. free.
Pexels. Free stock images. And the search engine is actually pretty good at pulling up what you want.
Figurosity. Great pose references, diverse body types, lots of "how to draw" videos directly on the site, the models are 3d and you can rotate the angle, but you can't make custom poses or edit body proportions. Free, account option, paid plans available.
Line of Action. More drawing references, this one also has a focus on expressions, hands/feet, animals, landscapes. Free.
Animal Photo. You pose a 3d skull model and select an animal species, and they give you a bunch of photo references for that animal at that angle. Super handy. Free.
Height Weight Chart. You ever see an OC listed as having a certain weight but then they look Wildly different than the number suggests? Well here's a site to avoid that! It shows real people at different weights and heights to give you a better idea of what these abstract numbers all look like. Free to use.
MapCrunch. Environment artists rejoice. Random locations, filter by indoor or outdoor, rural or urban, specific country. Great for realistic/authentic building ref.
Here's a source for the analysis, but it probably is not the source.
Workers’ share of US economic output has fallen to its lowest level since the government began keeping records in 1947, according to data th
Some points of interest:
Corporate profits are soaring. After taxes, they now take 12.3 percent of national output, far above their postwar average of 7.3 percent.
Adjusted for inflation, hourly wages have risen 3 percent since the end of 2019, Ip noted. Corporate profits over the same period have risen 50 percent.
The Economic Policy Institute calculates that since 1979 the productivity of American workers has grown 90 percent while the pay of the typical worker has grown 33 percent. Had wages tracked output, the average worker would earn $16.40 more an hour today.
The profits are concentrated among the largest corporations. Earnings at the 500 biggest US firms rose 28 percent in the first quarter from a year earlier, the fastest pace since 2021, and their profit margins reached 14.8 percent. The seven technology giants known as the “Magnificent 7”—Apple, Microsoft, Nvidia, Alphabet, Amazon, Meta and Tesla—grew their profits 63 percent.
In the United States, the richest 1 percent of households hold 31.7 percent of all wealth. The bottom half hold barely 2.5 percent.
are people talking about the labor conditions at Taylor Farms yet? like the fact they use enslaved prisoners in their facilities?
are we drawing the connection between worker safety and consumer safety & public health yet?
are people demanding to see the conditions in this place that keeps making us sick? why are the enslaved workers not having the time to use the bathroom or to rest when ill? very few people would shit in front of their coworkers given any choice at all.
Addition: The amount of bombs that Israel and the US have dropped on Gaza in the pursuit of genocide and settler-colonialism have significantly contributed to climate change over the past couple years and is directly linked to so many “once in a century” and “never before seen” weather and temperatures.
it's sorta funny (ignoring the horrors) that cis people can't be trusted with a deadname. any time someone tells me theirs I've forgotten it five minutes later, if you had names for your toes that would be far more interesting to me, but cis people get real "if you give a mouse a cookie" about it it
I'm terrified of people even knowing it, because I know that some people will instantly lock that into their heads as my "real name" and eventually slip and say it instead
Something something that charlottan post about how even if people have only ever known you as the gender you transitioned to, they're still gonna think "oh they're just a boy that I need to remember to call a girl"
Most people won't slip up like that, the average cis person walks on eggshells so they don't accidentally reveal they're just humoring us out of a sense of obligation, they'll think about it and get even more anxious while doing that.
This reinforces the wall between them and any insight into the situation.
during my 2,000 years in military service upon the wartorn world of Bantok, we had a member of our unit named Private Tags who was so covered in skin tags you couldnt see his real face. Saying the tag arent private dishonors his memory in incomprhensibly vile ways, youre all going ot mega hell
You know, I realized that I actually have quite a few just face pictures of my transition, and I've never really posted a full transition video of it. So ta da here I am. Started hrt at 23 almost 24, I'm now 27.
we gotta get back to torrent distribution, i just watched someone eat eight grand in bandwidth charges because they ran a direct-download piracy site with local file hosting through cloudflare. torrents were invented literally for this exact reason
i have a file or folder on my pc that i want to share with other people. let's call it gayshit.mp3
unfortunately gayshit.mp3 is 750mb and im not paying for discord nitro so i need another way to send it
i put it into qbittorrent and it makes a torrent file. this is essentially a very small file that points to gayshit.mp3 so other computers can find it. kinda like a treasure map
i send this tiny file to my friend, who loads it into qbittorrent. their computer takes a moment to find mine over the vast expanse of cyberspace and then (as long as my pc is running and the file is still where it should be), it gets copied from my hard drive to theirs
this is the cool part: if somebody else loads that tiny file, they can download it from both of us. if i'm offline but my friend is on, the third person can still get it. this also means that if two people have separate halves of the file, they can download the other half from each other. as long as some combination of people have the pieces between them, they can all have the whole thing.
crucially this does not require a server!!! you can just upload the file to a few people and as long as they keep it, it's still accessible. as long as somebody, somewhere is still connected, it's available forever. the only way it goes away is if everybody disconnects from it.
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.
when you see a tumblr poll with this picture attached and you know it's time to lock the fuck in lest you get a bad grade in an impromptu absurdist pop quiz you didn't know you were about to take
