“Dig” in Japanese was originally “Ana wo horu,” which translates to “Dig a hole,” with the direct object’s being “Ana,” “a hole” and the verb’s being “horu,” “dig.”
The common writing of “ana,” “穴,” is the same as a colloquial term for the buttocks, “ketsu.”
“Horu,” in addition to it’s more standard definition, is also a slang verb meaning “to have anal sex (between two men).”
Your new Machamp is named “Homo Festival,” and it’s only move is to fuck a man in the ass.
I had a hunch so I looked into it, and I’m pretty convinced now that it being lv31 is also a pun, via goroawase (matching numbers phonetically to create words). there’s a lot of different ways you can do goroawase due to most digits having multiple possible pronunciations, but there’s one particular reading here that stands out:
3 can be san or mi. 1 can be ichi, hi, or to.
mito is a polite archaic word for genetalia.
its name is Homo Festival, its level is penis, and its only move is to fuck a man in the ass. a masterwork.
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PSA: no name is impossible to pronounce. no name is too hard to learn, no name is justifiably butchered. kids with 'different' names should be taught again and again that being called by their name is a right, not a privilege
there are over 2000 unique phonemes (individual sounds) in the world’s languages, and each language has anywhere from around 20 to 60. you stop learning new phonemes it’s theorized at around age 12. this is where accents come from -- using your own language’s/region’s phonemes to speak
so no name is impossible to pronounce world-wide, but it is very easy to not have the linguistic archive necessary to pronounce a given name entirely correctly. it is a simple case of physically not knowing where to place your tongue, whether or not to vibrate your vocal chords, etc. the only one of the dictators of sound you could be shown is how to position your lips
that being said... obviously you should still try. saying a name as correctly as you physically can goes a long way for making someone feel respected and humanized, and dismissing a name entirely as too hard goes a long way to disrespect and dehumanize people. just also accept that someone’s accent interfering with their pronunciation isn’t a sign of lack of trying, but a sign of physical limits
This is very true. I met a baby at my old store whose name was Navajo. I did my best and actually got a bit frustrated because there was a syllable I could NOT get, and her dad was like “it’s very hard if you don’t actually speak Diné, but thank you. Most people won’t even try.”
boy it's me the textiles speaking to you inside your head. you need the yarn. you need thread. your soul hungers to participate in the act of creation. you must feed it. you must buy so many beads.
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If minimum wage you'd like to make,
This ancient quiz you'll have to take.
Step right up, but be prepared.
Those who fail are poverty-snared.
Question One!
If your labor proves most fruitful,
Raking quarters by the bootful,
Who should excess profits reap,
Me the wolf or you the sheep?
Question Two!
If, by merit, you're made pope,
What will be your fervent hope?
Law and order justly paired?
Or mercy and the guilty spared?
Question Three!
If a train should leave Topeka
Driven by a solar squeaker,
How then should the cat behave?
Give it milk or give it grave?
Question Four!
Do you have a criminal record?
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.
Recently a federal court case of gender discrimination in Australia was won by a trans woman, Ms Roxanne Tickle (absolute Queen, hope the rest of her life is filled with joy).
But because she won, some right-wingers in government have said they want to change the Sex Discrimination Act to exclude trans and intersex people.
So if you live in Aus please consider signing this petition by Equality Australia
Our protections matter Our communities are facing some of the most serious attacks on our rights and protections in many years. Right now,
and if you want send your local Federal MP an email, letter, give them a phone call or hell, show up at their office for a chat (you are allowed!).
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Reblogging again now that Russell Brand's ugly mug is back in the news to remind everyone that in the 2023 Times expose on his abusive behaviour, Daniel Sloss was the only male comedian willing to be named and quoted like "yeah that dude's a scumbag and women have been warning each other about him for years."
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.
you can download current and past hi-res versions of these over at my ko-fi (ok to print for personal use): https://ko-fi.com/mxmorgan/shop/freedownloads
you can also snag shirts here which go to various orgs: https://mxmorgan.threadless.com/collections/pride
these get reposted a whole lot from here to reddit to twitter to tiktok and on and on, and i don't personally care whether or not i'm credited. i made these for everyone to use, enjoy, and find meaning in them. i appreciate folks who do credit me, but if able, please at least link to the threadless shop in the previous post - folks can get an official shirt where 90% of earnings go to trans led orgs focused on mental health (which is an important matter in general, but very personal to me) and not from a scam bot site selling AI-churned maga garbage where you probably won't get one anyway. i also suggest downloading the files from my ko-fi - they are free/PWYW and you can use them to make your own shirt, patch, embroidery project, whatever. tips are always nice, cuz i do like a pizza now and then, but never required for download.
final thought - breaking the pride tradition and more than likely won't make a new piece. the top one from TDOV is all i'm making this year. i have my focus on other projects currently and i don't want to force a poster design. these came from a specific head space and my current head space is Very Tired lmao so i wanna work on other things. 👍
Out with a friend, their tire goes flat. We can change a tire but are struggling to get the jack out? Sunday so no repair places open nearby, have AAA but they'll take forever.
We're parked outside a craft store (unhelpful) but we are near a Bunnings (hardware/garden megastore). My suggestion "let's go to the Bunnings car park. Some random guy will help"
Went to Bunnings. I got out, sat on the edge of the open boot with the spare between my knees.
Less than a minute later and some random Bunnings bloke parks and asks if we need a hand.
I might not be able to work a jack, but I know how to get Jack to help.
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Out with a friend, their tire goes flat. We can change a tire but are struggling to get the jack out? Sunday so no repair places open nearby, have AAA but they'll take forever.
We're parked outside a craft store (unhelpful) but we are near a Bunnings (hardware/garden megastore). My suggestion "let's go to the Bunnings car park. Some random guy will help"
Went to Bunnings. I got out, sat on the edge of the open boot with the spare between my knees.
Less than a minute later and some random Bunnings bloke parks and asks if we need a hand.
I might not be able to work a jack, but I know how to get Jack to help.
a character being a perpetrator does not negate their victimhood and neither does their victimhood negate being a perpetrator. u can accept and reckon w both dimensions in ur analysis