doubly funny that I saw a compilation of all the corporate accounts like "aw thanks elmo, we're doing well" meanwhile all the flesh and blood real human people are extremely not okay
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i think we should be ridiculing them more for this. you don't get to try and go all "queer website" when your staff likes to go on nuking sprees targeting the trans fem users
would be remiss not to mention that the rainbow notably straight up just removed the trans flag colors from it. like they’re gone. it’s the progress flag minus the trans flag colors.
Standing in a checkout line, when an older man asks me about my Goncharov t-shirt. I say "It's a movie, " when the person behind me chimes in, "Oh, yes, Scorsese."
The original gentleman goes on to tell me about the author Goncharov, his favorite of his novels, and a famous character from one of the novels. The three of us discuss whether the main character in the movie is intentionally named after the author, referencing that character, or whether it just sounded good to the film maker. We discuss how steeped the movie is in symbology.
Two of us are having a very different conversation than the third.
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hbo max blocks screenshots even when I use the snipping tool AND firefox AND ublock which is a fucking first. i will never understand streaming services blocking the ability to take screenshots thats literally free advertising for your show right there. HOW THE HELL IS SOMEBODY GONNA PIRATE YOUR SHOW THROUGH SCREENSHOTS. JACKASS
somewhere out there is a guy who meticulously takes screenshots of every individual frame of his favorite tv shows and then painstakingly etches each one onto a roll of film which he puts into his old timey projector and recreates the footage as a silent film with his own lavishly hand-lettered dialogue cards and original score that he plays on his upright piano and charges audiences one shiny penny a play. at last, big media has finally outsmarted ol' Zachary Zoetrope
PSA for everyone who doesn't know, explained simply
this is NOT because of blocking screenshots, it's because of HOW streaming sites use your computer's hardware to optimise performance, which means the thing rendering the video and the thing capturing your screen aren't the SAME thing. so they can't talk together.
you can fix this by going to your browser settings, searching for "hardware acceleration", and turning that off.
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 think we should be ridiculing them more for this. you don't get to try and go all "queer website" when your staff likes to go on nuking sprees targeting the trans fem users
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
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This is probably going to be messier than I want it to be, but something that drives me toward this information-gathering project and covid activism is the fact that I was a child with chronic illness. I had asthma and allergies, extremely common and well-understood conditions, right? That doesn't mean the people who had power over me treated me even baseline normal about it. I was mocked by teachers while having asthma attacks. I was tortured by bullies who found plants that would make me sprout welts, only to recieve similar punishment from the principal for "starting a fight." I had to keep my rescue inhaler almost a half a mile away in the nurse's office because of draconian anti-drug laws I couldn't even get a doctor's excuse for. For my 5th grade stay-the-night trip, I was forced to do kitchen duty and other similar labor even though I was literally the sickest I've ever been from allergies, literally woke up with my eyes glued shut from mucus and could barely hold myself upright.
I say this not as "boo-hoo poor baby nadi," I say this because I know worse is already happening to kids with long covid. Despite two rounds of democratic presidents since I was undergoing this torture, we still "No Child Left Behind," and I remember how students with even minor learning issues were taught by teachers when I was in public school. Now imagine you're a 8 year old with persistent brain fog and constant fatigue and weird gastrointestinal issues and imagine how teachers (whose jobs are still tied to student's standarized test scores over 20 years later) are treating them. How many of these kids are getting the opposite of attention? How many are getting crammed into already overpopulated and under-funded/staffed special education rooms? How many are branded as lazy and stupid and "problem" when they're literally sick and getting sicker because we can't even get schools to put an air filter in the room?
I have this passion for airborne illness caution because I can see just how many kids are living worse childhoods than I had. I can see the hundreds of thousands of kids across the country, the millions across the world, who struggle to pay attention to lessons not because they're uninterested or unintelligent but because they're in constant suffering no one will comprehend or lessen or excuse. And knowing what it's like, I don't want more kids to go through that: I was lucky to live through it, and many don't. Masking keeps kids safer. Air filtration keeps kids safer. Improved ventilation keeps kids safer. Frequent testing for respiratory diseases keeps kids safer. Paid sick leave keeps kids safer. Hybrid options for education keeps kids safer.
Quit making sure kids aren't safe and healthy. Do your part. Wear a respirator.
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i’m gonna cry it’s raining right now and i just passed by a family where both parents were without an umbrella but their kid who couldn’t have been older than like 3-4 was proudly holding this GIANT umbrella whose diameter was as tall (if not taller) as the kid. both the parents were getting absolutely drenched but u could tell the kid was just so happy to have an “adult” task and carry the umbrella themselves and i think that sacrifice is what love is all about
if you want to actually start to end homelessness, you need to give homeless people unconditional homes, including when we use them to do drugs or sit around drinking. either housing is unconditional or it isn’t
someone sitting at home alone, an active alcoholic, squandering your charity, drinking all day is better situation than a street homeless alcoholic. someone using drugs in your charity house is better than them doing the same w no shelter
most of you would not like most street homeless people, I definitely don’t and didn’t when I was street homeless. for every one person who uses unconditional shelter to turn themselves around, someone else will do jack shit and very slowly, if ever, work through the issues that made them homeless, will maybe never be able to live independently. still better than street homelessness, still worth doing. ultimately either you believe that shelter should be universal or you don’t
homeless people actually can’t be rehabilitated if you want to end homelessness. we either affirm the right to shelter for the worst drunken, lying, filthy, cheating, self destructive homeless people that exist, genuinely irredeemable wankers, or we concede that shelter is not a right
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