sometimes people experiencing psychosis and/or mania will come up to you on the street and talk in confusing or upsetting ways. your job is to either have a regular human-to-human conversation with that person or politely leave. your job is not to call 911. do not call 911. you might kill that person if you call 911.
I don't even have the energy to screenshot and respond to your tags- what the actual fuck is wrong with you? "the cops are scared and rightfully so" "mental health calls are the scariest for cops" OH so this isn't about the safety of psychotic & manic people this is about piggy feelings?
and no, actually, this is not USA specific and no, actually, people from other countries should not ignore this post. police violence and sanism weren't invented in the US and they are certainly not unique to here. if you (or anyone) thinks that this bullshit doesn't happen elsewhere then you are not listening.
This is legitimately useful reframing. A while ago I started replacing the word "cop" in my vocabulary with "a man with a gun." It really puts things into perspective.
This homeless person is making me uncomfortable. Should I call [a man with a gun]?
My neighbor is having a loud party. Should I get [a man with a gun] involved?
There are some teenagers skateboarding. Do you think [a man with a gun] would get rid of them for me?
It makes it very clear what you're saying. I can call a man with a gun to threaten or hurt someone mildly inconveniencing me. You're not calling the cops, you're calling A MAN WITH A GUN into a situation that does not warrant a firearm handled by a volatile lunatic who will not be held accountable for his actions.
idk why so many people are blocking me just for asking for their help...I don't want to be rich; I want to raise the money for my father's heart surgery and buy medicine for the scabies that has plagued my family
If anything happens to my dad, please remember that I begged you to donate, even a small amount, or to share my post. I will not forgive anyone who sees this post and doesn't support me with a single word or a small donation
Jonathan Joss was an Indigenous, gay man who was murdered on the first day of Pride month as well as Indigenous History Month. He died protecting his trans husband. Homophobia and racism aren’t marks of the past, and this is a heart breaking reminder of that.
Praying for a safe journey back to the spirit world, Uncle ❤️🩹🦅
Today is the anniversary of the death of Jonathan Joss (King of the Hill, Parks and Rec). Jonathan Joss was an Indigenous, gay man who died protecting his transgender husband, on the first day of Pride month. Today we remember him and how he protected his family.
We're in the middle of the school. Guys, we're done building the classrooms. School thanks to your donations, this is a very wonderful thing Thank you to everyone who donated and participated But we still have a lot of lacking
Hey guys, let's be snug. Why don't we complete donations quickly? Why don't you help us spread this out for fundraising? This is considered an institution. Why doesn't anyone care about her? I'm overloading my energy. Please create posts everywhere. Everything is available in Gaza, but education is still not available please help with posting We're doing a good job, please share and donate now.
The Coastal Initiative in Gaza urgently needs your support to laun… Asma Yunis needs your support for Help the children of Gaza get a safe a
Hey guys, come on, come on, we can do it all together. Please donate and share this post now, and if you can post about it, you guys are our only hope. Come on, come on, please.
text: [ “Some of you have forgotten that only three years ago you were perfectly capable of writing an essay, writing a eulogy, telling a bedtime story to a child, and it should worry you that powerful companies have convinced us we can’t do things we’ve been doing for 5000 years.” ]
$900… not just a number, it’s a roof over our heads
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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.
I really hate that for some reason the narrative became that women fought to join the workforce rather than women fought to have the same jobs for the same pay as men instead of being relegated to labour considered to be lesser and explicitly disallowed from many roles and professions. fuck off and die.
usamerican soldier STUNNED into silence when he learns that his willing and paid participation in the murder and neocolonization of foreign people is a huge red flag to everyone with a conscience
Well there is actually, they’re friends. They’re friends and they love each other and it doesn’t mean any less than if they were dating and they loved each other. They’re friends and that means devotion and affection and loyalty and love, and there is no point in which that love reaches a level that immediately indicates that their relationship must be romantic.
i don't remember them playing mahjong but they do other old man things like going to the wet market together and drinking soup and taking walks. anyway go watch suk suk / twilight's kiss
For TV shows, there's What Did You Eat Yesterday? which is about a middle aged gay couple
And when it comes to films, there's actually quite a lot about older queer people! In addition to what was listed above, off the top of my head there are films like Cloudburst, Supernova, Turtles, Salut Victor
What I am about to say is the hardest thing I have ever written. I stood there frozen, unable to breathe, and I almost collapsed while looking at my sister in front of me, and I will not forgive anyone who sees this post and does not support me with even a single word and ignores us.
The doctors said severe malnutrition and weakness caused this terrifying moment, and without urgent treatment it could happen again at any time, so I ask, can you help me get treatment for my sister?
I am begging you from the deepest place in my heart—please don’t ignore us in this moment. Donate now if you can, because your donation could be the reason my sister survives.
My sister is still fighting for her life, and every second counts. If you have the means, any small donation can help Esraa’s campaign to save my sister’s life.
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