hi sorry to ask but im pretty sure my antibiotics gave me some kind of gi problem, i havent been able to eat for days and its coming out both ways, can i get help with soup until i can see my dr c4$h4pp v3nm0 p4yp4l k0fi
out here at the vet ER with my friend and his cat, just threw up in a hospital bathroom but im here and im trying my best. even $1 will help i have to eat something besides yogurt today
Hey heads up this sounds exactly like SIBO (small intestine bacterial overgrowth). There's a breath test for it, but you will probably need to see a GI specialist!! Going on the low FODMAP diet and probiotics can help, too!!
[person with a horrendous understanding of both marxism and queerness]: Closeted people are the bourgeoisie of queerness, because they benefit from the labor of out queer people while adding no visible queerness of their own.
its kind of distressing how you can tell a lot of people see popular indie artists and writers and such as like "a Celebrity but one which i stand a half decent chance of bullying to death"
Hey, hey, look me in the eyes when I tell you this okay? The whole "do trans women or trans men have it worse?" debate going on right now is the most obvious CIA bullshit on earth cause honestly we've both got it pretty shitty and fighting each other isn't helping anyone
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.
A canon interracial couple exists "I just don't see their chemistry" proceeds to fanon ship [insert white character] instead, claiming they have more of a connection.
"It's not their skin color, I just don't like them for some reason, btw, here are my top 5 [insert white actors] I think are better suited"
"Not everything is about race". They say, as they prop up every white character over any character of color.
"Please stop bring race drama into the fandom". Which translates to, I'm comfortable in my racism and don't appreciate any criticism, thanks!
White person, "Yeah, I wrote character of color as an animal, doesn't make me racist".
"I love character of color, here's a fic where they act like as [insert white characters] servant/therapist".
Character of color is such a bad friend for having opinions of their own/taking care of themselves instead of putting their friend [insert white character] first.
A character of color is morally ambiguous or a villain, gets redemption arc. "They're awful and haven't been condemned enough of their crimes". Stans [insert white characters] who did the exact same crimes or was a villain who's redemption arc is praised.
"Can't believe that character of color had the nerve not to die as a selfless sacrifice for [insert white character]".
"POC actress/actor is too ethnic and they'd ruin the character".
"I haven't seen racism in the fandom therefore it isn't there".
"Character of color is the main character of the show sure, but let's be honest, everyone came for [insert white character]
"Character of color is alright but I can only relate to [insert white character]".
Feel free to add more, that you've come across. Sadly, it all runs together after awhile of being in a lot of fandoms. Special shout out to all who helped me with these comments!
Safe cleanup of rodents and their nesting material and waste is important for preventing illness.
This is an excerpt but please read the rest of the guidelines in the link:
"Do not vacuum or sweep rodent droppings
Diseases are mainly spread to people from rodents when they breathe in contaminated air. Don't vacuum or sweep rodent urine, droppings, or nesting materials. This can cause tiny droplets containing viruses to get into the air. If you already vacuumed, follow the cleanup guidance on this page."
Step 2: Spray urine and droppings with bleach solution or an EPA-registered disinfectant until very wet. Let it soak for 5 minutes or according to instructions on the disinfectant label.
Step 3: Use paper towels to wipe up the urine or droppings and cleaning product.
Step 4: Throw the paper towels in a covered garbage can that is regularly emptied.
Step 5: Mop or sponge the area with a disinfectant. Clean all hard surfaces including floors, countertops, cabinets, and drawers. Follow instructions below to clean and disinfect other types of surfaces.
Step 6: Wash gloved hands with soap and water or a disinfectant before removing gloves.
Step 7: Wash hands with soap and warm water after removing gloves. Use a waterless alcohol-based hand rub when soap is not available, and hands are not visibly soiled.
it’s funny bc I think I have a lot to learn, with blindspots that I’m still trying to fill in by reading more and talking to people etc, but when I’m hanging around certain family members I suddenly become The Wokest Person Alive just by merit of having made some attempt to not be shitty. and this isn’t level 3 discourse like “conflating submissiveness with a preference for bottoming is misogynistic”, it’s basic shit like “no, health is not a state of mind, and sick people are sick for reasons beyond bad attitude,” and “no, you should not loudly talk about how shocked you were that a Nigerian man was at grandma’s funeral,” and “please don’t say that about Jewish people,” and so on.
and usually they are willing to listen when I talk about this stuff, so there is a benefit to me being there, but holy crap is it a tonal shift going from online to real life.
#the worst is when a kid fucking dies #and his parents try to raise awareness that your kid could fucking die #but all they get is other parents telling them their kid died because he was bad at football
this info has not really made it around to everyone who would prefer to know about it, so let me restate here that Overwolf, Thunderstore, and Curseforge are all subsidiary/owner companies based in Israel that explicitly support the IDF both on the personal basis of their individual employees and the company itself donating money for snacks and body armor, but also fundraising from the public for the same. please do not use Thunderstore, Curseforge or Overwolf. your ad traffic is funding genocide. even if you have an adblocker, your participation in their ecosystem is keeping other people there and contributing traffic anyway. get your mods on Nexus or modrinth. use a different mod manager, there are plenty
if you MAKE mods, please pull them from Thunderstore and send your users to other mod hosts. there have already been multiple waves of this happening, especially amongst the Sims 4 modders, which is great
April 7, 2026 - "All you had to do was pay us enough to live, all you had to do was pay us enough to fucking live"
A worker in Ontario, California, USA, set his company’s warehouse on fire and has a message for the CEO:
“There goes your inventory. You know we may not get paid enough to fucking live, but these bitches (lighters) dirt cheap. All you had to do was pay us enough to fucking live.”[article]/[video]
I think it might be useful if we viewed representation as an imperfect community effort rather than a big, heavy weight that every writer, artist, animator, etc needs to bear by themselves.
Also I've always viewed it as a "Yes, and" endeavor. For example I don't mind queer villains in fiction but I do have a problem when that is the only queer representation in a certain context.
This post is not about making iron-clad Rules for Good Rep.
This post is about actually paying attention to your community, and the communities of the people you are portraying in your writing, and putting a little thought into finding the underrepresented and portraying it. It’s also about taking a breath and absolving yourself of the need to do it perfectly as a marginalized person. There is no perfect way to do it, because no group is a monolith.
I’m just a little weary of having to manage moral scrupulosity in myself and my community.
If I followed this rule to the letter, as a queer author who loves tragedy, I would not be allowed to write a single-character work of tragedy and make it queer. You know? Can we be messy? Can we let each other be messy?
And the post is also not limited to queerness.
If one does not like how the usual stories go — if one feels unseen — then the solution is more stories, rather than clamouring to take away other people’s pens.
did you know literally *everyone* is raised racist. like by society at minumum, if not specifically by their parents. if you aren't constantly questioning the prejucides around and inside of YOU, yes even you, then you aren't taking enough action in your daily life to be a traitor to the state of white supremacy.
I don't have the spoons to put together my own donation drive thing for Hawaiʻi Flood Relief and I haven't really seen a post going around for places to donate to, so uhhh I will make one.
Here are a few places I grabbed from the local news that I've poked around and did my research on. I'm also an Oʻahu local that's lived here for all 30+ years of my life, so I think my knowledge contributes to... something. THAT BEING SAID, please, please, PLEASE do a bit of your own research and use your own best judgement before donating.
The big, bold title should link to the charity/non-profit's main page or about page, while the blue text links to the actual donation page.
Aloha United Way
This charity has been around for as long as I can remember and its general goal is to support Hawaiʻi's welfare and distribute funds to charities as they need them. They have a Community Relief Fund you can donate to here.
Hawaiʻi Foodbank
Another charity that's been around for forever- people who have lost their homes also need food and the foodbank is distributing supplies to people who need it. The direct donation page is here.
(Also, imo, the foodbank is always a good one to donate to because with the high cost of living and The Economy™, they're always gonna need funds no matter what, you're almost guaranteed to be helping someone with a donation)
Hawaiʻi Agricultural Foundation
The HAF's goal is to support local farmers and raise awareness on eating local. The storms have damaged and washed out a LOT of farmland, with an estimated $7 million in damages so far. Without a stable local farm industry, then we'd have to rely on the continental US for everything. Self-sufficiency and affordable food is important. Together with the Hawaiʻi Farm Bureau, the HAF has started a Farmer's Disaster Relief Fund to help farmers recover and rebuild.
Hawaiian Council
The Hawaiian Council is a non-profit organization with the mission to uplift and support Native Hawaiians from various sociopolitical and economic standpoints. They've started an emergency relief fund called Kāko‘o O‘ahu to help support those affected by the floods. The council itself, as well as a lot of the big local companies are also chipping in and matching donations.
