Finally a hand sewing tutorial on a hemline that isn't just the ladder stitch! the ladder stitch disappears when you tighten it, but it's not meant for hemlines because it breaks really easily! The overlock stitch is more stable, so it holds much longer, and it won't pucker or warp the fabric!
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We have released over a million images onto Flickr Commons for anyone to use, remix and repurpose. These images were taken from the pages of 17th, 18th and 19th century books digitised by Microsoft who then generously gifted the scanned images to us, allowing us to release them back into the Public Domain. The images themselves cover a startling mix of subjects: There are maps, geological diagrams, beautiful illustrations, comical satire, illuminated and decorative letters, colourful illustrations, landscapes, wall-paintings and so much more that even we are not aware of.
today's reason I fucking love the open source community: Ageless Linux, a brand new Debian-based operating system specifically designed to break the law by giving children access to computers that explicitly refuse to track their age.
As of June 29, 2026 the law discussed here is a recently passed California state law (AB 1043) that requires age validation before using a computer connected to the internet. This is expected to happen at the operating system level, when you login to Windows, MacOS, Linux, etc.
Ageless Linux intends to force the issue before the California state supreme court, then ultimately (probably) the Supreme Court of the United States (SCOTUS). It's a stupid, dangerous law, voted into place by legislators who either don't understand the core issue OR knowingly voted for it because they're assholes.
California is an influential state in the US. Many laws & regulations passed there eventually trickle out to most states. That's why it's worrisome to see this kind of thing rammed through, and why it's important to fight it.
Also, it doesn't matter if you use Linux or not. Or whether you live in California or not. Visit their site, read the text, learn what's going on with access to computing in this hellscape timeline.
This is a very charming illustration and I do approve of Accidental Latin, but unfortunately, that is not what this (Fake) Accidental Latin actually says. Google Translate seems to think "temu" is identical to "timor" (infinitive, "to fear"), which would then be conjugated in first-person singular as "timeo" ("I fear"). "Temu" is not a word in Latin. So that is a very weird leap on Google Translate's part to turn gibberish into... something vaguely etymologically similar sounding? Hmm.
Next, "die" does mean "day," though nominative singular is "dies," i.e. "dies irae." It could be conjugated "die" if it was in ablative or locative case, but "die ad die" would mean something more like "day to day." "Ad" is in a "to" direction and "ab" is from, i.e. "ab urbis," and ablative case is used to indicate the movement of a thing. In short, "by" is not really a way to translate "ad"; we might want "per" here? (Through, by means of, etc.)
Not to mention, it would be weird to put one "die" at the start and another at the end The verb also usually goes at the end in Latin sentences, just for that extra bit of fun. So yes, in short, this is not actually Latin, and Google Translate is very bad at Latin in particular. Nonetheless, still charming.
Agree, @qqueenofhades, except on the matter of breaking “die ad die” apart. It’s a common structure in poetic and oratorical Latin to jam one phrase in the middle of another. I can’t think of an example exactly parallel to this construction, but I could believe a Roman poet would write it!
Ah, that is true. My Latin is of the reading-medieval-documents (particularly charters and/or chronicles) variety, where the sentence and usage structures are often more formulaic and there is less poetic license to move words around. There is obviously far less fixity for word order in Latin, since the conjugations explain how they grammatically relate to each other rather than placement in the sentence. (Coincidentally, this is why I used to say that the best feeling in the world was walking past a Latin classroom and not having to go inside it. Ahem.)
So yes: true that poetical Latin might be more at liberty to split the "die"-s up that far, though "timeo" (verb) is still more likely in most cases to go at the end, which would place them together anyway ("die ad die timeo," "day to day I fear" if translated in strict word order, which would make sense to an English speaker and sound more poetic anyway). Keep in mind, however, that my Latin is a) fairly rusty and b) mostly used for said formulaic legal document reading rather than freeform verse, so don't super-hard quote me on this.
I saw that ablative “die” and that final -u on “temu” and thought of the ablative supine (as in “mirabile dictu”) but as you observe, there isn’t a verb that “temu” could be, and then also, the ablative supine requires an adjective, as far as I know.
But perhaps “temu” is a hapax legomenon (in which case we would need the rest of the text to gloss it) or a scribal error for temeratu, from temero, “I defile or disgrace”. In that case, and in true Tumblr form, I might translate it as “daily I disgrace, in the manner of the day”, with some errors attributable to the scribe.
....oh my god. You might be a genius. Because what else does Tumblr do but daily disgrace [itself, oneself, and/or numerous others] in the manner of the day, and make numerous scribal errors.
turns out i wasn't making that up, his name is Dr. Toru Miyazaki! he also wrote a book called "The Day Cats Live To Be Thirty", so cats are kind of his thing.
apparently, cats' kidneys tend to be the thing that takes them down, something about their bodies being unable to self-clean their kidneys, and the vaccine is supposed revitalize the body's ability to do just that. It would be very VERY fucking cool to have cats suddenly reaching 30 years of age be the normal thing.
As they age, almost all cats develop kidney disease, from which they eventually die. Just as in humans, kidney disease i
Dr. Toru Miyazaki’s AIM injection for cat kidney disease enters trials in 2025, aiming for a 2027 release. Greycoat Research supports the sc
whoa wait i actually read the articles and it's so much cooler than just that!!
dude cracked the case about WHY kidneys fail, across the board as far as i can tell. turns out there's a specific molecule whose job it is to attach to waste and signal macrophages to come eat it. it remains inactive in cats for some reason, but the molecule is still there. basically what he's done is found the switch to activate them. this will be profound not only for our domestic babies, but for big cats too - especially cheetahs!
although his research was focused on cats, it's already being used to develop drugs for humans too!
on top of that, since these molecules are tags for waste, this could also dramatically lower the rate of fatty liver disease, liver cancer, urinary crystals, rheumatoid arthritis, and even some neurological cases! like, they're hoping it may have an impact on parkinson's and alzheimers, but it DOES have an impact on stroke recovery. like. holy shit.
furthermore, he's insisting that the feline drug be affordable if and when it rolls out onto the market. he wants this to be something anyone can get for their cat!! idk how much sway he'll have over the human drug, but hopefully enough that it, too, won't be that expensive.
annnnnd in his research that he's still doing for the human side of things, he's found a potential link between this molecule and estrogen. in the 20,000 samples he's tested, women between ages 10 and 29 had the highest amount of this molecule present in their blood (a higher amount means Something Fucky is going on, essentially. There's a higher amount of waste the body is trying to clean out) but it drops down to be almost equal amongst men and women after menopause. it hasn't been looked into yet, but fuck, just the fact it's noted and known and probably WILL be looked into soon??? imagine if this is what leads to figuring out all the various ways the ovaries and uterus fucks with people and how to fix it. or even like, maybe there's something about estrogen that makes it work better. who knows! but it's rad the link is there to be researched :D
man just think, not only could our kitties start living longer, healthier lives, but just maybe dialysis will become as rare and obsolete as the iron lung is for people. what a badass Dr. Toru is!
Update: So they have done clinical trials and have submitted it for approval as of april 2026. They are expecting it to be available late 2026/early 2027
The AIM protein drug for feline chronic kidney disease has been submitted for approval in Japan (April 2026). We break down clinical trial d
As for the study itself, the 360 day follow up on stage 3 kidney failure kitties showed that the control had a survival rate of about 20%, while the test group had a survival rate of 80%
New 2026 study: AIM protein boosts cat kidney disease survival from 20% to 80%. Discover how this scientific breakthrough is changing the fu
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I wish Americans fucked with more foreign music. You don’t have to know the language to appreciate a good record. Folks in other countries listen to our music and don’t speak a lick of english. Music needs no translator
You can try Radiooooo.com - The Musical Time Machine!!
choose a country, pick a decade, and GO!!
you’ll get an endless streaming of songs (ad free!).
I personally found myself loving 1970s Ghana, Senegal and Cote d’Ivoire! Also 1920s and 1970s Japan for sure! Cambodian music: spectacular. Love Armenia and Mali as well. I’ve been told 70s Germany is weird and 30s Algeria is cool but I haven’t gotten around to those yet. Italy’s 1960s is bomb ofc but I’m biased ;)
I firmly believe what ever you’re obsessed with at 11/12 years old becomes a core part of who you are, regardless if you lose interest in it or not. Maybe some of you were lucky and were obsessed with warrior cats or smth, and if you’re real unlucky it was probably twilight.
There's this thing I never realized I did when I was doing it that I like to think of as "Ownership of Space"
And it's that thing where you mentally place yourself as the second, auxiliary party to someone else that you consider to be "In Charge" of whatever space or occupation or responsibility you are assigned to
And when you are IN that mindset, it *feels* like you're being responsible. It *feels* like you're being respectful, and helpful, and contributing to the load.
But what you don't SEE- because it *feels* like deference- is that the other person who you're seeing as The Authority you report to- by being assigned that role, has also been assigned the invisible load of BEING YOUR MANAGER.
This is by FAR most commonly seen in husband-and-wife relationships, where the man says, "just tell me what I can do to HELP- you don't have to do it all by yourself, but it's like you won't even tell me when you NEED help. You just do everything and then get mad at me for not doing it first. I can help clean. I can help with the kids. I can help"
But I also see it- and am guilty myself of doing it- at work, at school, in public- that mental, "this is THEIR space, and i will be respectful and helpful to THEM"- without realizing that subservience in this manner isn't actually a good thing. That it actually shifts the burden of responsibility to the other person. That aspect was totally invisible to me.
I didn't understand that when I was told, "if you see something that needs to be done, just DO it", or, "take the initiative", what they ACTUALLY meant was, "I am not above you", or "you have equal say in what kind of environment you want to live or work in", or "I do not want full control over what happens here, I do not want to order you around, I do not want to be in charge, what I WANT is to co-command WITH you"
Being in The Assigned Authority position NOW, that is all so much clearer.
I am the senior member of my team at work, and now, every time I train a newbie, every time I finish catching them up to speed and giving them a list of everything that needs to be done, my next big hurdle seems to always be, "now take pride in the space when I'm not around". "Now don't assume I'll tell you when something is due or what orders to plan things in".
Now, having been on both sides of the struggle, I can appreciate the sticking points here
TO THE PERSON "IN CHARGE": The person deferring to you doesn't understand the invisible labor you're doing. They genuinely believe you know more, you WANT more, you see things they don't, and that they are being respectful and good by staying out of your way and waiting on your orders. THAT is the bit that's not clicking.
TO THE PERSON "WANTING TO HELP": "Help" implies that you are providing assistance to a problem that belongs to somebody else. Stop thinking like that. Understand that the problem belongs to BOTH of you equally, and consider what kind of shared space you BOTH want. What is your SHARED GOAL? Not THEIR goal, but a goal that belongs to you too. Own your space.
This is not a Commander-Lieutenant problem. This is a Partnership problem.
something about Toy Story toys is so strange to me. versions of animated characters based on real world toys, turned back into toys that are slightly different than the actual toys. slinky dog with a rubber spiral instead of a classic metal slinky. the porcelain bo peep and cloth woody turned into jointed plastic action figures. when toy story 4 came out and i saw a $30 talking action figure of forky, a character made out of a spork and a pipe cleaner, i stood in the walmart toy aisle staring at it like cameron from ferris bueller's day off staring at that painting in the art museum
I personally do not own or see the appeal in war toys. However, one of my favorite LEGO minifigures is a figure of an old style toy soldier, with pink dots on cheeks and wind-up key on its back. So evidently, toys of war toys are enough degrees of separation for my brain.
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I recently scanned and uploaded the entire 1994 manga adaptation of The Weathering Continent to my fan site, The Masquerade Ball. Check out a preview or download the entire thing here!
So apparently, over the summer, Quibi (the shortest-lasting streaming service ever lmao) did a quarantine project called “Home Movie: The Princess Bride” where a bunch of celebrities recreated The Princess Bride in tiny chunks at home.
And like there was no permanent cast, all these celebrities seem to have gotten a scene or part of a scene to do (i’m not sure exactly, I did not ever watch Quibi and thus haven’t seen this yet), and then they just… recreated it as best they could. At home. Under quarantine.
So like, you had Jennifer Garner in a blanket cape playing Princess Buttercup AND the Booing Old Woman with a crowd comprised entirely of stuffed animals:
Or Taika Waititi paying Westley off a badly-drawn Inigo on a piece of cardboard held in front of someone’s face:
And it’s all just delightful.
But my absolute favorite part of this thing that I’ve sadly never seen but assume is probably absolutely hilarious and a treasure and I want to find it some day and watch the whole thing… is that Carey Elwes is in it.
In case you need a comfort watch and because Youtube search nowadays sucks rancid farts, I remind you of the Princess Bride Home Movie from the lockdown, starring everybody
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.
I just went looking for the post on X and got a message that it didn't exist
I searched for Guri Singh and got search results showing his account existed, but when I clicked on it I got a message his account did not exist
Does anyone know if he made his account private or if he got nuked by Elon? Or do I just suck at X (because I never go there)?
Not that anybody asked, but I think it's important to understand how shame and guilt actually work before you try to use it for good.
It's a necessary emotion. There are reasons we have it. It makes everything so. much. worse. when you use it wrong.
Shame and guilt are DE-motivators. They are meant to stop behavior, not promote it. You cannot, ever, in any meaningful way, guilt someone into doing good. You can only shame them into not doing bad.
Let's say you're a parent and your kid is having issues.
Swearing in class? Shame could work. You want them to stop it. Keep it in proportion*, and it might help. *(KEEP IT IN PROPORTION!!!)
Not doing their homework? NO! STOP! NO NOT DO THAT! EVER! EVER! EVER! You want them to start to do their homework. Shaming them will have to opposite effect! You have demotivated them! They will double down on NOT doing it. Not because they are being oppositional, but because that's what shame does!
You can't guilt people into building better habits, being more successful, or getting more involved. That requires encouragement. You need to motivate for that stuff!
If you want it in a simple phrase:
You can shame someone out of being a bad person, but you can't shame them into being a good person.
In fact maybe you’ll convince a pretty nice kid that she is human garbage and unworthy of anybody’s respect or care for 30 years. It turns out this does not help form healthy romantic relationships among other things
i fucking hate the “this is the good luck post.” Girl stop contributing to a superstitious environment with ur anecdotes there’s a million goddamn notes on it it’s statistically reasonable that a bunch of people remember the good things that happen after they reblog it
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I was thinking of reblogging this again just because the original video is still amazing, but then I see the second video and lost my mind. The upgraded fan, the body glitter, the sheer fact that he got to do this with the actual singer.
This whole project was heavily inspired by the work of Lina Shamoon/ Mirrors by Lina (website here, check out her very cool and much higher quality work). My spin on things is definitely not made as well as her stuff, but I'm still loving the effect.
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