I notice alot of my followers on here skipping these posts just to mess with my lgbt ones, suspiciously the white popular ones.
Heres a not so friendly reminder, as an lgbt metis person, i dont give a single fuck what your blog is themed or if this is too painful for you to look at. Reblog this post. Reblog this post with the sources of the 751 children who were found.
Your compliance and silence as well as the compliance and silence of your ancestors is what allowed these schools to open and kill first nations children. The children of MY people.
Dont follow me if you cant reblog this post or the one with sources to your political blog or your most popular blog. Add trigger warnings if you must but if your political blog is only focused on the harms you personally face like being lgbt then you need to see some bigger pictures and stop being afraid of angering your racist mutural or actually saying some shit about racism. If you can reblog some antifa graphics or add blm to your bio to be a surface level ally, you can reblog some sources on the genocide first nations people faced and still face today.
I’d like to add this photo I took last night in Victoria of the statue of Captain Cook. Though I myself am not indigenous, I 100% agree that these murderers, kidnappers and rapists shouldn’t have huge statues and plaques that decorate them and say how “great” they were.
Here’s another photo of the legislative assembly from yesterday. Later on there were more items, candles and signs at the memorial, as well as a big poster with 1505 painted on it but I didn’t get a picture
People need to see this. Not just quickly glance at the photos and keep on scrolling. They need to see this.
I had seen the first picture of the church, but not the second.
I went to a “Cancel Canada Day” event and burst into tears - not because I was surprised to learn of the unmarked graves (survivors told us they were there. Our government pushed it aside, and we let them), but because seeing all the people gathered in mourning drove it home: They. Were. Children.
This is my country’s legacy - and it’s not history. The last schools closed during my lifetime. My Father went to school with students who lived at the local residential school, after it was changed to a boarding house (read: holding centre) for indigenous youth who went to local schools.
They were all children, injured, abused, and killed in my country’s attempt to erase them. I want the world to see this and hold the state accountable to *active* reconciliation> I mean we could at least truly adopt UNDRIP in action instead of words for god’s sake.
here you can read an article about a survivor of the church and some of the things he experienced to help put into perspective how awful and just how recent it was
Was driving with my grandmother and in broken English she says “no eyes… no nose… no face. Don’t trust.” To which I looked around wildly in search of this omen of ill portend.
Recipient of a third-degree burn in front of witnesses. IE, "I won't take that shit from a man dressed like a ghostbuster"= "Gostbuster" or "Buster"
A distinctive personal feature or quirk. IE, "Have you noticed how that new guy is always eating bell peppers?" = "Peppers", or "That chick has a massive forehead" = "Forehead".
An embarrassing thing you said or did. IE, "Did you seriously call Dale "Dad"?" = "Junior", "Baby boy", "Sport"
A game of name-mutation telephone. IE, "Donny Clyde" = "Bonnie 'n' Clyde" = "Bonnie" = "Bon-bon".
Irony. IE, calling a tall person "short stack" or a particularly dour person "sunshine".
A 'wrong place wrong time' one-off incident. IE, "He spilled oil on his pants and had to borrow a pair that were way too big and Jim saw him with the waistband pulled up to his nipples and called him 'Parachute'"
A batman-style origin story but not in a cool way: "One time she hit a deer with the company car and when she called the boss to tell her she was crying so hard we thought she was dying" = "Bambi"
The incredibly rare 'admiration' nickname, bourne only once a millennia under the light of the blood moon: "We saw him lift a truck once so now we call him 'iron man'"
This reminds me of an article about how callsigns in movies are inaccurate because they're too cool. Generally your callsign in the military is like "Bepis" because you once pronounced "Pepsi" wrong.
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
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 fun bonus fact for you: those No Longer Buyable DVDs?
They're the ONLY surviving NONDAMAGED form of the show. In the late 90s, the masters from which the show is printed were damaged with a red-pink hazy filter.
So. Good luck buying them even if you find them. They're some of the most valuable collector's items in the entire franchise.
Without piracy, there would be NO UNDAMAGED COPIES OF SAILOR MOON AVAILABLE TO ANYONE ANYWHERE, PERIOD.
ETA: Because these undamaged copies are how you colour correct the uncensored ones.
ok so this is another long shot but a few years ago there was a twitter post (in japanese i think?) that had measurememts for how to make this book stand thing out of cardboard that you could use to double up books and use up more space on shelves
back then i made a bunch of these but by now i lost the pic and dont know how to find the original post anymore
if it comes down to it i can just take one apart and get the measurements from there but i would be very grateful if anyone happens to have the original post or something similar??
don't mind how long it's been since i made this post, anyway i realized that i don't even need to take one apart to get the measurements when i can literally just unfold it and refold it /FACEPALM
so anyway here is the diagram for anyone else who is interested!!
this requires pretty big carboard pieces, if you have a really big box or something you can make it from one piece, but if you don't, you can also just make each of the pieces individually and then tape them together
and then in the end you put it together like this!!
and then when you make a bunch you can put them all next to each other and stack your books like crazy
EVERYONE START GETTING MORE USE OUT OF YOUR SPACE NOW!!!!
This is for Black people only - white people, feel free to go on to the next post about The Mountaingoats, or that rock alien, or free bleeding, or whatever it is y'all be talking about on here.
They gone?
Okay, Beloved. I just need to tell you to STOP LETTING THESE WHITE FOLKS KNOW HOW MUCH THEY CAN HURT YOU.
They do not care. They will use that against you. The harder you cry, the more they will rally more of them around to throw stones at you.
Find other Black fans to fellowship with - that's important and then give these white folks the same kind of hell they give to you. Being scared and hurt will never change what they do.
hi trans kiwis and friends. if you haven't seen the news, they're trying to pass a frankly insidious bill in aotearoa to define the terms 'man' and 'woman' based on biological sex. this unsurprisingly reflects a lot of similar cruel efforts happening overseas at the moment. IT HASN'T PASSED YET, but I figured I should speak up about it because this is happening as we speak.
(screenshot from the linked RNZ article)
it seems very fucking bleak!!!! please don't lose hope! it hasn't passed yet and a lot of the shoddy bills suggested by the coalition have been shot down already. it's still worth knowing about. you don't have to share this post if you don't want to. I just know that a lot of my followers are kiwi. if there are any updates as to what we can do to push back against this, I'll make a relevant addition. kia kaha, okay? love you all.
UPDATE: you can now very quickly and very easily submit a comment on the bill! these will be counted and considered in parliament.
it took me less than three minutes, and that's only because I wrote a whole paragraphs on why this is a stupid idea. all you really need to put is "don't pass this bill" if you want. it'll only take 30 seconds.
if you're able to and you want to, please consider reblogging! the more reach this gets, the better. thank you all so much [:
Did you miss the Indie Animation Black Magical Girl Live last night? Well fear not. The VOD is up and ready for your viewing pleasure. Get to hear from your favorite Indie Animation Black Magical Girl showrunners. 5 black queer folks/femmes and their black magical Girls!
We talk about the importance of creating our stories in the times we're in, why Black Joy is important and the ups and downs of Indie Animation as a whole as Black creators.
@fumichun (Wheels & Roses)
@breanimator / @thethreetomes (The Three Tomes)
@kianamaiart (Pretty Please I Don’t Want to Be A Magical Girl)
@kenzyxart / @towardsgalaxysend (Towards Galaxy’s End)
Shara Kirby (The Chaotic Misadventures of Arch & Reggie)
Hydra lamp life @boredgamesandvodka - Tumblr Blog | Tumgag
yousharknotpass
romaincrisis
blakekathryn
baratheonpilled
snowghoul
vaporwave
gummygunk
