When my mother forgets a word, she is the queen of coming up with new words. Words that would take a third National Treasure movie to fully decipher. I was talking to her yesterday, and she said this: “You know the time for los jibbities is coming up. You must be so excited!” Oh, is it time for los jibbities already? I must have missed it on my calendar. Are we celebrating something? “Of course! We should all be celebrating, shouldn’t we?” OK, so los jibbities is a happy thing. It’s not like something is giving you the heebie-jeebies, which would have been my one and only guess. “Los heebie-jeebies? Now you’re making things up...and this is my show.” You’re right. The time for los jibbities is coming up. Is this a season? “Yes, the season for love. The season for pride.” OK, los jibbities. “Yeah, sound it out.” Los…jibbities. LGBTs! “Sí, mira cuz you’re gay!” “You couldn’t just say pride season? You couldn’t just… *laughs*
affirmations they will not kill me at work today. it is not in my job description to get killed. if they did kill me at work that would be weird and probably not worth it for them
the concept of a site that doesn't even allow porn requiring age verification for mature content. you gotta give us your legal id or else we'll hide random posts that were incorrectly flagged from you
“In the spring of 1940, when the Nazis overran France from the north, much of its Jewish population tried to escape the country towards the south. In order to cross the border, they needed visas to Spain and Portugal, and together with a flood of other refugees, tens of thousands of Jews besieged the Portuguese consulate in Bordeaux in a desperate attempt to get that life-saving piece of paper. The Portuguese government forbade its consuls in France to issue visas without prior approval from the Foreign Ministry, but the consul in Bordeaux, Aristides de Sousa Mendes, decided to disregard the order, throwing to the wind a thirty-year diplomatic career. As Nazi tanks were closing in on Bordeaux, Sousa Mendes and his team worked around the clock for ten days and nights, barely stopping to sleep, just issuing visas and stamping pieces of paper. Sousa Mendes issued thousands of visas before collapsing from exhaustion.
The Portuguese government—which had little desire to accept any of these refugees—sent agents to escort the disobedient consul back home, and fired him from the foreign office. Yet officials who cared little for the plight of human beings nevertheless had a deep reverence for documents, and the visas Sousa Mendes issued against orders were respected by French, Spanish and Portuguese bureaucrats alike, spiriting up to 30,000 people out of the Nazi death trap. Sousa Mendes, armed with little more than a rubber stamp, was responsible for the largest rescue operation by a single individual during the Holocaust.”
—Homo Deus: A Brief History of Tomorrow by Yuval Noah Harari
I see your “Rocky swears like a sailor but only in pitches humans can’t hear/refuses to teach Grace what those words mean” and raise you “Rocky swears like a sailor and now has to explain to Grace that ‘bad bad bad’ isn’t actually a sequence you play on your Eridian speech piano in polite company.”
Grace is both horrified and amused to realise that a more accurate translation for what Rocky’s been saying is “shit shit shit”.
Hi no I'm pissed off about the age verification laws and bills again. So many grown adults out there going, "The internet should be safe for my children," with all the brazenness of someone walking into a bar and saying, "You need to stop serving alcoholic drinks because I want to drop my children off here all day while I'm at work." Except at the same time they're also demanding that arsenic be added to all the drinks, including the ones being served to children
under US law, it's illegal for anyone who's not a member of a recognised native tribe to own an eagle feather. the penalty is a $100,000 fine.
14 years ago when I had recently moved to Alaska, I went hiking with an Aleut friend, and she pointed to a feather lying on the ground and said "hey that's a bald eagle tail feather, you should grab it!" and I was like "uhh I'm very white and that's very illegal" and she went "they're fuckin everywhere up here man. I have 20." so she grabs it off the ground and hands it to me and says "there, now it's a ceremonial gift from an indigenous person."
and I'm like, okay, cool, I guess this is how we do things in Alaska. nice.
so I keep this bald eagle tail feather around for years. display it in my home among other cherished memorabilia from places I've lived and visited, etc.
on a whim, I have just now looked it up. there is no exemption to that law for a ceremonial gift from an indigenous person. the last 7 years I lived in the US, I was technically a bald eagle poacher.
probably a good thing I don't intend to move back there anytime soon. I wonder what the statute of limitations is on bird crimes.
@freedomisscaryshit I'm fucking dying I think you forgot the word "feathers" in your tags?? or do you just wish you could grab whole ass eagles that land in your yard??
As an Indigenous person, it continues to astound me that there are such strict laws (written by White people) in our name, laws against...picking up things just found on the ground. Like, stop pretending this is "for" us. We don't want this.
so, for clarity, that's not what this is. the law against possessing feathers is an anti-poaching measure, derived from a North American treaty protecting certain migratory bird species from hunting. that treaty has an exemption for indigenous people to allow tribes that use eagle feathers in ceremonial or religious practices to continue doing so.
i used to collect feathers (illegally) as a teenager and the thing is that it's incredibly important for feathers from wild birds to be illegal to possess because it ensures that they never become fashionable to wear. the reason we passed the migratory bird act was because the american and european fashion industry was driving species to extinction in a timespan of years. not just decades. the ecological devastation of exporting birds for hats was absolutely insane and people were watching wetlands and forests and meadows just empty out in realtime. look at the wikipedia article for the plume trade.
the law against 'picking feathers up off the ground' means that you can't go shoot an eagle then sell the feathers on etsy by saying you 'just found them'. you can't own them no matter where they came from, which makes sure that they're not going to come from any birds killed and then secretly disposed of.
these laws, as harsh and ridiculous as they seem, saved flamingos, spoonbills, egrets, and all kinds of hawks and eagles from extinction. the minute these laws weaken and people can make money off killing them again, they're fucked.
this is one of those "no actually this regulation exists for a reason" laws much like work place safety and building fire codes (that Republicans keep trying to roll back) and is written in blood just like them as well. it's just not human blood this time, and the fact that people actually cared enough about long term future over short term profit to get it put in place is nothing short of astonishing. That it didn't get put in place in time to save several species is heart breaking.
can you imagine what it will be like the day it finally happens. no one will be posting about anything else. category 10 posting event. if it happens because of someone else their gofundme page will reach over $500,000 within a day. #hopecore
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.
Not to be former Catholic-blogging on main but Chicago Pope can WRITE, y'all
Breaking the chains of new forms of slavery
173. This distorted view of the human person is reflected today in various forms of servitude directly linked to the digital economy. Nothing in the world of AI is immaterial or magical. Every seemingly immediate and flawless response is the result of a long chain of mediation, involving vast networks of natural resources, energy infrastructure and, above all, people. A significant part of the digital economy’s functioning relies on the silent work of millions of people engaged in essential yet largely unseen activities, such as data labeling, model training and content moderation, often involving disturbing material. In many cases, these workers are young people, predominantly women, working under demanding conditions for minimal wages. Added to this invisible labor is the even harsher work of extracting the resources required for the production of the devices and microprocessors on which AI depends. In some regions of the world, children and adolescents work in dangerous conditions, crushing the materials from which rare earth elements are extracted. The bodies of these people are scarred, injured and worn down so that computational flow may continue uninterruptedly. Furthermore, criminal networks use online platforms, messaging systems, anonymous payment methods and profiling techniques in order to recruit, control and transport victims of trafficking — very often minors — reducing men and women to “data” to be tracked and “packages” to be moved around within the same digital circuits that support much of the global economy. This reality deeply challenges the moral conscience of our time. It is not enough to invoke efficiency, nor to celebrate the benefits of innovation, if they are built on a chain of exploitation that remains deliberately hidden. If technology promises emancipation, yet produces new forms of global subordination, it stands in contradiction to the fundamental principle of human dignity.
MAGNIFICA HUMANITAS
OF HIS HOLINESS
POPE LEO XIV
ON SAFEGUARDING THE HUMAN PERSON
IN THE TIME OF ARTIFICIAL INTELLIGENCE
Apologies if this is all stuff you already know and you were being rhetorical but he definitely was not called Ötzi!
Ötzi is a 5300-ish year old mummy, found in the Ötztal Alps in Italy (hence his name). While the earliest form of writing was emerging from Sumer at the time, Ötzi likely came from a civilisation with no writing system.
Ötzi has a fanbase because frankly he's absolutely fascinating. For a long time he was the oldest tattooed person ever discovered (in 2018 older Egyptian mummies were discovered), with 61 tattoos, a series of lines and crosses, primarily on his joints. These tattoos were likely an early form of acupuncture since he had worn joints that likely caused him pain.
The amount we've been able to study and understand about Ötzi is incredible, and he has offered us an incredible view of the European Copper Age. He was 45. He was 5"3. He was around 50kgs. We know what his final meal was, how he dressed, where he came from and how he travelled to the Ötztal region (through pollen in his lungs). We know he was involved in copper smelting (high levels of copper and arsenic in his hair). He could still have 19 descendants alive today. We know he was sick three times in the last six months before he died. We know he had whipworms. We know he was lactose intolerant.
We know he was murdered. Not killed by a stranger, or robbed. He was murdered by someone, and it was probably personal, and he did not know it was coming. He bled out, from an arrow to the back, and nobody helped him.
His last meal was elaborate. He was not on the run, or in a hurry to get away. He was not chased up those mountains. Where was he going? Why was he being followed? His body was not looted. He was a wealthy man, for his time. He had good quality clothes, shoes that people have reconstructed and hiked up the mountain in (and found surprisingly comfortable, apparently).
Weapons, too. He was found with a copper axe, a knife, arrows and an unfinished bow, baskets and medicines. These were all valuable possessions. People were not so rich back then that they could easily discard items like this- so why were they left to rot on the mountain with him? Was the fact they'd been touched by Ötzi really so repugnant to whoever was on that mountain?
There are at least 4 other people's blood on his gear. On the knife. On the arrows. The arrow that they shot him with was left in his back but the shaft was removed.
We know so much about Ötzi. We know everything about his finals hours- except for everything about Ötzi. We do not know who he was, we do not know his name, and we do not know why he was killed. His murderers stand in the shadows and will never come out into the light.
I do think "literally zero evidence indicates that gatekeeping medical transition does anything to prevent regret, but the harm done by gatekeeping is extensively documented" is a much stronger argument than "regret isn't real" cause there's always going to be some anecdote that puts you in a weak-looking rhetorical position for the latter, but the former is pretty unassailable.
Goddamit i hate this fucking post. I hate it because obviously if “twelve” followed the same pattern as the other teen numbers it wouldn’t be “twoteen” it would be “seconteen”. Think about it. It’s not “threeteen” it’s “thirteen” as in “third”. It’s not “fiveteen” it’s “fifteen” as in fifth. So with that in mind, you count “first, second, third, fourth, fifth,” and so on, so eleven would be “firsteen” and twelve would be “secondteen” or “seconteen”. “Firsteen, seconteen, thirteen, fourteen, fifteen….” It just drives me absolutely mad everytime i see this post that this obvious pattern was overlooked and i cant hold in my rage anymore.
its taken me most of my life to realize that everybody else doesn't take 6+ hours of doing the Exact Right Thing with NASA precision in order to coax their brain to do 2 hours of work.
permanently procrastinating @tangledtanglewood - Tumblr Blog | Tumgag
