shitpostie

he/they | 1995 | stan Lyudmila Pavlichenko ❤️

[uglychatbot]

This is a calypsohan sideblog dedicated for the amalgamation I like that I don't rb to main.

Tags are self explanatory;

#important - important posts

#information - factoids, essays, current news, etc. for recreational use

#save - posts that have links/etc

[Lyudmila Pavlichenko: a Soviet female sniper in the Red Army during WW2; credited with killing 309 Nazi enemy combatants, thus considered one of the deadliest snipers in history.]

[polyamandhellaglam]

Polyamory is safe for work. Polyamory is safe for kids. Polyamory is safe for day time tv. Polyamory isn’t more sexual than any other relationship and it can be just as romantic, sweet, and healthy.

[evilwriter37]

Aggressively reblogs.

[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.

[bsaka7]

excerpts from erin in the morning's article on the ioc's ban on transgender women and sex testing policy

[apofiss]

Coral Reef!🪸 icon set goes quite well together with Seashore set!🌊^o^ LINK!

[rubysapphrald]

i feel so defensive and protective of people with ARFID like if i had a disorder that made my brain register 90% of food as poison for no reason and i had a bazillion people on the internet constantly calling me a manchild who needs to just grow up and stop being a picky eater i would start killing people

[rubysapphrald]

people with ARFID and people with very few autism safe foods and people with contamination OCD and people in ED recovery and everyone else with a complicated relationship with food that no one takes seriously GET BEHIND ME!!!!!!!

[dee-the-red-witch]

This Pride, make sure every trans woman that you follow, are mutuals with, goon over, or consume their work in general, has a roof over their head, their bills paid, and food in their kitchens.

You wanna call yourselves allies? This is the work. Do it.

[dee-the-red-witch]

And yes, I'm putting my links on here because I still have to get around 1800 in for rent and bills.

Donations: http://paypal.me/tormentedartifacts

Or https://ko-fi.com/tormentedartifacts/shop

And yes, if you're transfem of any kind, you're welcome to add your own links on here when reblogging.

[gatheringbones]

tbh a lot of my advice boils down to “hey you know that terrible horrible looming thing you’re doing your best to avoid and distract and escape as much as possible but no matter what you do it just keeps looming and looming and ruining your life”

“just, fuckign, run straight at it screaming.”

[quasarkisses]

i needed this as a background

[spectrexviiii]

[bipirate]

last week i hit episode 200 of one piece! i'm doing one of these for every 100 episodes i watch and for now i'm sticking with the straw hats in order, so nami is next!

[bovid-beauty]

"Fascism"—New Federal Rule Would Require Federal Funding Recipients To Deny Trans People Exist

The rule could have heavy impacts towards trans people across society.

Last week, the Trump administration quietly released a sweeping new federal rule that would use funding threats to force institutions across the country to reject transgender people. The 400-page proposed regulation would codify the administration's anti-trans executive orders into binding federal policy, imposing a blanket prohibition on federal funds going toward "gender ideology"

The proposed rule, formally titled "Regulation for Federal Financial Assistance," rewrites the government-wide framework governing all federal grants across every agency. Among its most consequential provisions, it requires that before a federal grant recipient can receive money, the award must pass a "pre-issuance review" conducted by a political appointee—not a career expert or peer reviewer—to ensure it is "consistent with applicable law, Federal agency priorities, and the national interest." The regulation explicitly instructs these appointees to screen for "denial by the recipient of the sex binary in humans or the notion that sex is a chosen or mutable characteristic." [...] An institution that acknowledges transgender people exist—through its policies, its training, its healthcare, its bathroom access, its HR procedures, its name-change processes—could be deemed to "deny the sex binary" or to “support the notion that sex is mutable” and have its federal funding blocked.

Importantly, the gender ideology prohibition has no age limitation—hospitals could be targeted not just for providing care to minors but for providing gender-affirming care to adults, because prescribing hormone therapy to a transgender patient of any age could be deemed promoting the belief that "sex is a chosen or mutable characteristic."

[junequeer]

THIS IS OPEN TO COMMENT UNTIL JULY 13, 2026

[featherandstorm]

This is all very bad and horrible, but I want to be clear that it’s worse and more sweeping than just eliminating trans research.

This torches everything. And I do mean everything.

A very abbreviated list of its ramifications include (but are not limited to):

ending funding for ALL DEI related initiatives

allowing the government to terminate grants at any point for any reason

preventing researchers from publishing, going to conferences, and being part of academic societies

requiring that topics must support the president’s agenda.

What this means, and if anything I’m under selling it, is the death of science and research in America. It allows the government to restrict any topic they please at a whims notice, putting officials who have no background in the topic in charge of deciding funding continuity. It controls what gets researched and if/how researchers are allowed to share their discoveries. There are no books to burn if the government never allows them to be written. This is fascism plain and simple.

Please, if you only ever write one public comment, this is the one to do.

[genderkoolaid]

Bringing back this guide to writing an effective public comment. This gives you the basics you need to know, what you need to include, a basic outline you can follow, etc.

Public comments are not a vote, it is a chance for you to say "here is an issue with this law I think you need to address" and provide justification for legal challenges if it goes forward:

"Comments raise the bar that agencies have to meet when making a rule; “if an agency fails to adequately respond to significant, relevant comments in a final rule, members of the public may seek to challenge the rule in court on that basis and claim it could be struck down.ˮ"

But also, if possible, don't stop at writing a comment. Don't stop at calling your representatives. You should ideally be talking to people in your community about this and organizing resistance on-the-ground; there is a good chance people are already doing that even if you aren't hearing about it.

[jeffcross5000]

[jenjen4280]

This made me smile. Maybe you need a smile today too.

[ryan-sometimes]

I love how Zohran Mamdani is wearing a suit everywhere. And if he has anything else he puts it ON TOP of the suit. A basketball jersey. A high-vis vest. All worn over the suit. He’s like the mayor character in a cartoon who’s always dressed as The Mayor. If I didn’t know who he was and he biked past me in NYC I’d be like holy shit was that the mayor

[uglychatbot]

"I'm Doug Dimmadome, owner of the Dimmsdale Dimmadome!"

[ambienne]

This tweet means a lot to me.

[64mpg]

thinking about developing a social skill soon

[cosimads]

IRON LUNG dir. Mark Fischbach

[mafuyuh]

little guys in ghibli movies

[creatingblackcharacters]

What do you find most annoying about yt people and yt queers?

That if they don't start actively practicing antiracism, it's going to kill us all, themselves included. But temporary comfort for the few the many seems to mean far more than temporary discomfort of a few for the benefit of all.

The trolley problem seems to be the favorite go to argument for everyone until it's time to be the "victims" (which they still wouldn't be, because loss of privilege is not a loss of rights).

See: the person who just reblogged my post thinking that Black and brown women and their medical torture under white supremacy were acceptable collateral for the medical treatment and gynecology of the future. I'm sure if you were the ones under the knife, vaginas cut open, silver staple sutures, no anesthesia, up to thirty times for someone else's benefit (not yours because you're not human) you might reconsider why your life and your lack of consent was considered the cost.

This point is reiterated in many of the books we've discussed, especially the ones in book club, but also on my book list on my website 👍🏾 antiracism includes deconstructing Whiteness!

[creatingblackcharacters]

And before someone says anything, I know this argument is broader than the one they made. My point here is that it sure is easy to brush off the past as necessary for medical advancement when YOU weren't the ones being risked and/or sacrificed for that advancement. The entire book we're reading discusses the Black fear of medicine due to a history of maltreatment and experimentation, all for the sake of the improvement of the very medicine you take for granted now.

Modern medicine is a marvel, yes! I will never be ungrateful! But at the same time, I'm not going to brush under the rug what got us here, and how it wasn't all mandatory, it wasn't all necessary, a lot of it was cruelty committed on Black bodies in the name of humanity that they weren't considered to be. You wanna honor the value of your medicine, acknowledge what it took!