I better be around you

Call me Auzzy or Auz, I'm into a lot of fandom, but currently ffxiv is the main one.

[rhinco]

i understand that it's unreasonable to expect a band on world tour to play in every country in the world but i do think they should only be allowed to call it a world tour if they play in every continent. we need to make it embarrassing to say world tour and then not even step foot in africa

[maxknightley]

"it would be so good if it was good" will haunt you but "it's extremely good, except for the one or two parts which are so bad it's genuinely kind of insulting" will straight up drive you insane

[maxknightley]

one has you making posts like "okay but if the author UNDERSTOOD the POLITICAL IMPLICATIONS of the story they were telling, and leaned into it, it would actually be a really interesting exploration of..."

the other has you pacing your bedroom at one in the morning going "why. why would you ever in a million years do it like that. genuinely what possible thought process was involved. was the writer possessed by a fucking ghost or something."

[apl-tree]

you were in my dreams

while i slept forever

(version without effects under the cut!!)

[garashir]

hey friends where is that picture of boromir with the gondor flag except its a pride flag?

[lesbiansforboromir]

Couldn’t find it so I made another because you’re right that it’s a crime and it’s definitely my duty to remedy it

[queer-as-in-fuck-12]

drug addicts deserve housing, food, water, and healthcare btw

[valtsv]

i'm like a fujoshi but for dead people

[valtsv]

if you could see the thread i'm hanging on by you would not say these things to me

[noodles-07]

websites often misjudge how far I will go to avoid ads. "you can't use this site until you turn off the adblock sowwy" I Am Leaving Your Website

[lyraisnotonfire]

favorite thing about tumblr is having a fandom in law. no i haven't watched this show and i'm not planning to. but my moot is having fun!! look how much they love it!!! i'm supportive from the sidelines!

[lyraisnotonfire]

it's like, i don't go here! but my friend does! so i know a bit about what's going on there even if i'm in a different school

[palis-delon]

I suddenly have feelings and opinions about a ship on a show I've never watched (I'm only 90% sure I have the names correct).

[ripplespate]

I don't have ms paint but just pretend it is bc no one knows paintbrush for mac but i can assure you it was just as hellish if not worse since theres technically no brushes other than a pixel round brush and the worst looking freaking spray paint

[unsound-satyr]

SCROLL BACK!!

IT'S A PAINTING!!!

[ripplespate]

I don't have ms paint but just pretend it is bc no one knows paintbrush for mac but i can assure you it was just as hellish if not worse since theres technically no brushes other than a pixel round brush and the worst looking freaking spray paint

[unsound-satyr]

SCROLL BACK!!

IT'S A PAINTING!!!

[godlessondheimite]

In 2026, the chicest thing a gay actor can do is never explicitly come out as gay but also make it abundantly clear that he is. Coming out is too modern. Staying closeted is too old fashioned. But this method merges contemporary freedom with Old Hollywood glamour and allure, and it weeds out the dumbest people who truly don’t get it. I call it the Pascal Method.

[nobodys-odyssey]

Taylor Swift does this

[godlessondheimite]

no she doesn’t

[nobodys-odyssey]

You clearly don't go here or to queer history and signaling, or both, enough to have this conversation and I'm not going to explain it to you. You could have asked questions, you could have done even a modicum of research. You didn't and you made yourself look ignorant. Goodbye.

[dancinbutterfly]

#I'm fucking crying#this is an instant classic#this is the next meme#i can't believe I'm here to see a baby copypasta nary two hours old#I can't#lol#i laughed way too hard#iconic

[dailymanners]

I find it quite strange that even though Tumblr is known as The Neurodivergence Website, a lot of people on here seem to assume that they're the only neurodivergent person on here, and/or that they're the only person on here who understands The Neurodivergent Experience, so they're quite eager to assume that every post on here was written by someone who's neurotypical and needs to be lectured on The Neurodivergent Experience

[vidibit]

Mutuals who I have hardly spoken with but we instead communicate through silently liking and reblogging each other's posts... I hope you're all having a lovely day ✨

[ghostoffuturespast]

[vidibit]

Mutuals who I have hardly spoken with but we instead communicate through silently liking and reblogging each other's posts... I hope you're all having a lovely day ✨

[ghostoffuturespast]

[adhd-vibes]

i need to change my whole life in one day. watch out world. i'm about to rearrange my furniture and cut my hair and develop new yet fully formed healthy habits all in the span of 24 glorious hours. i will also be buying groceries.

[jncos]

No money: I need food

One money: I need a cool silver ring with a skull on it

[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.