the ayyyy is optional but encouraged

| he/him | 21 | trans furry trying to figure out tf is going on | pfp by shiiba_ on twitch, banner by jaller_art on insta |

[quackysprouts]

ares slays his daughter’s rapist

[emdroid]

“In Greek mythology, Alcippe is daughter of Ares and the mortal princess Aglauros.

According to myth, she was attacked and, in some versions, raped on the beach of Athens by Halirrhothius, a son of the god of the sea, Poseidon.

Her father, Ares, came to her aid and killed Halirrhothius.”

[daysleftofsecondterm]

I think I know what we’re gonna talk about in 8 days

[rickybabyboy]

Rickies!!!!

why am i getting in the water....isnt that scary...

[creatingblackcharacters]

Compilation of Racial Demographic Polls on this app

The current ongoing one:

Some ones from the past:

I'll keep digging on my end to see what else. But again... 65-75%, nearly every time. I want to see if we can record the pattern so we can stop doing this and pretending to be surprised.

[creatingblackcharacters]

Folks have questioned the third one, saying I'm not considering the pale East Asians and pale Latinos (who could still be white btw) and I'm willing to put $10 on it that if I were to run that same poll with more specifics, it would still fall between 65-70. 👀👀👀

[koiagain]

I guess you could say he’s ve… he’s a very h…

[sailorbrazil]

thursday..... and i bet you wish you were her

[pokeballvictimized]

Oh, the pill bug...

[aquafabaulous]

@pangur-and-grim

[creatingblackcharacters]

Braved the Southern humidity and heat at 7am to bring you images of my brown arm in different types of sunlight and greenery. No reason, of course.

[thunderbottle]

they should let me design tshirts

[thunderbottle]

i really struck a chord here didnt i

[the-future-is-chrome]

repeat after me. humans are not inherently evil humans are not like a virus on this earth humans do not “deserve” to go extinct or anything like that. we are living breathing animals that deserve space just like every other creature on this planet. there’s just a tiny amount of us that have a fuck ton of money and power and they really suck

[creatingblackcharacters]

""I'm going to kill myself because that's exactly what you want and will make you happy and I will teach you a lesson when the whole world learns about it."

The email continued, describing how he was going to kill himself (with a Glock that he kept at home) and reiterating that it would be my fault. He then ended with a racist tirade, calling me a "worthless monkey bitch."

...A few weeks later I received another email from a different sender. The message, with slight wording differences, was essentially the same. This white man was going to kill himself and I was to blame. A few days later I got a similar message via Twitter messenger. A few days after that, another email.

As the threats of suicide piled up, I began to see a coordinated campaign to harass me, and is disturbing as he was, it was also sadly fascinating and what it revealed. These men were trying to terrorize me with what they saw as the only logical conclusion to my anti-racist, feminist work: the mass suicide of white men. They wanted me to know that they saw my work to end violent misogyny and white supremacy, and they saw that it was as a threat, not only to their norms and their status but to their very lives.

These men wanted me to know that they were miserable, they felt screwed over, and they felt demonized. They wanted me to know that the only option available to address white male patriarchy was either to maintain the status quo that was making us all miserable, or death. They wanted me to know that they were not capable of growth or change in that any attempts to bring about that growth or change would end them."

Conclusion- Mediocre, Ijeoma Oluo

[l3irdl3rain]

how lucky they were to be born into this world in time to know each other

[creatureprofessor]

i love when museums have near exact replicas of their displayed objects for you to buy. haha 15th century ceramic cup you are in my possession

[alteredpanel]

what defines 'you' and 'me' can always change! we aren't stuck in place

[nonbinary-wrath-month]

The reason why so many of y'all's feminism sucks is because you still believe deep down in your hearts that there are only two kinds of people in the world: precious, ethereal, fragile dollthings called "women", and violent, lustful, rage-fueled apes called "men". Until you throw that idea away, 3rd-grade-tier "girls rule boys drool, girls are princesses and boys are stinky :(" is as feminist as we'll ever get-- and I hope it's obvious that that's lightyears away from the bare minimum of where we need to be.

[bulkhummus]

someone sent me an anon ask about rocky meeting eva and i tried to post it not once but twice and tumblr ate it both times so now im just regular posting it here

i think ryland would grow to understand stratt’s choice with time, and even thank her logic of it because it led to his meeting of rocky, but i dont think he’d ever really forgive her for what she did to him

(Ryland had to prep rocky before they touched down to meet Stratt so he wouldnt charge her at first sight)

thank you for the request :o)

[justalurkr]

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.

[irispurpurea]

This is the paper. It's excellent, highly recommend reading it.

I remember reading about Gebru's firing but I had no idea this was the paper she was fired over.

[pangur-and-grim]

I was built to be an anxious dog with a tongue that stick out the side and a very patient owner who makes me wear those little booties when it rains, but instead I have a mortgage. jesus christ

[keroa]

I'm not sure if we ever sent you pictures before, but my partner and I used to have a little freak dog whose tongue stuck out (but she would rather explode than put anything on her feet)

Freaklet miss molly mae (rip)

[pangur-and-grim]

oh that's really good. Freaklet Miss Molly Mae, you lived the life that I aspire to