I think the thing that annoys me most about AI on a personal, day to day, level is what it has done to grammar checkers. If you've never done a lot of editing, or used to 5+ years ago but haven't really in the last couple years, I can't even begin to describe how fucking BAD this shit has gotten. And as an author it is EXHAUSTING.
I just want to catch spelling errors and accidental double spaces and repeated phrases and whenever I use the wrong too/to or affect/effect and shit. But no. They've shoved AI up the ass of every grammar checking software out there and now they all fucking suck and make the most random, obnoxious, nonsensical suggestions.
And yeah, I can ignore all the times it's trying to get me to cut out any semblance of my own voice, or shove things into the wrong tense, or make the most random suggestions on comma usage. But if it's getting all that WRONG, what is it just straight up missing that I SHOULD be correcting? What real spelling and grammar errors are still lurking in there?
I get why people keep saying this (and other versions of it like "Use Adobe alternatives" and "Use Google product alternatives."). But here's the problem: I do not create in isolation. Even my own 100% personal projects are getting sent to other people whether it's editors or printers or beta readers and unless every single person in that train is using the same products, things can get wonky.
Libre Office and Word handle formatting differently on the back end, which can completely break documents if you move them back and forth between the two. So if I write in Libre Office but my beta readers are still using Word, when I send them a manuscript for review there's a good chance things won't look right and my beta reader will not actually be reviewing what I sent them.
Industry standards are industry standards FOR A REASON. Having everyone on the same workflow can be crucial to getting things done effectively and correctly without creating a lot of extra work. And those things are not going to change overnight, as much as we might want them to.
Yeah, Word, let me just leave this whole chunk of dialogue without the closing quotation marks. That's the thing to do. How dare I have two punctuation marks in a row. It's not like that's how closing quotation marks fucking work.
And you know, for young writers, this has got to be so detrimental just from the perspective of opening your document and seeing a million corrections that, frankly, don't need to be there. If you're a young writer you're likely not going to have the background knowledge to know what is and isn't a good suggestion, you're just going to see a document that makes it look like you made every mistake possible so clearly you must be a terrible, stupid writer and should just give up.
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that's a very good addition actually, a solid "you want me to ask people's kids about their genitals? can i have that in writing?" should make upper echelons very uncomfortable.
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More photos from the Vogue Netherlands November issue. Look at that giant necklace. Somewhere, a designer for Alchemy Gothic is wailing and gnashing their teeth.
If youre a closeted person somewhere out there thinking "I want to transition but it would be less progressive/unique/countercultural for me to be that gender instead of this one" please know that you are a real person not a character in a narrative and cant live your life based on what is good media representation. You are real you can only be yourself and theres no moral weight to any identity over another
Liberal transphobes enjoy positioning trans identities as regressive compared to cis queerness or like non-transitioning transness or anything else they can leverage to make transphobia look progressive and I think its easy to absorb that message subconciously. But in real life we just are what we are and no ranking of validity can change the fact that you have an identity that is NOT chosen and is just your unchangeable truth. Not only should you not have to live a life dictated by what is most countercultural to identify as or whatever but also: being trans is extremely countercultural and feminist and leftist to begin with and theyre only trying to convince you otherwise bc theyre bigots
"Why cant you be a feminine man society hates feminine men 🥺" and "all the butch lesbians are becoming men we need u 🥺" = stay in the closet for the noble purpose of being an abstract representation point in my new york times opinion column. You wont actually be a gnc cis person youll be a closeted trans person who uses the wrong words but I need you to do that because i hate you
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every day it just concerns me how little compassion people have. no compassion for those living in the global south. no compassion for immigrants. no compassion for disabled ppl. no compassion for addicts. no compassion for prisoners. no compassion for children. like holy shit ...
i made a separate post about this but actually there are plenty of people cough white people who care about animals more than they ever do human people . not what i'm talking about make your own post
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 love that most of your advice about existing in the world is some version of "other people are actually cool and not your enemy and also they are also people and life is more fun when you open yourself to that" because yeah..
Yeah LOL I feel like I get a lot of messages and read a lot of posts that seem to imply the contrary and it always bums me the hell out!! I do think being open to others has transformed my life in meaningful ways so I like to share that. When I can.
40 days. One email. Your name on the right side of history.
Good letter template for contacting your MPs re the new code of practice. We have a month. Make the biggest stink you can. As stated at the link, this template is useful as it contains specific Procedural questions, which are harder for unsympathetic MPs to shoot down than exclusively Ideological ones (though there's space for that in the template too!). It took me less than ten minutes and I wrote like two paragraphs.
If you're in the UK, this is one of the easiest ways to do Anything about this bullshit. If not, you very well might have friends or followers who are, so send this their way. Regardless of where you are, please do all you can to support the trans people here.
It isn't a solution but its a fuckin sight better than not trying.
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medical abuse opinions you can have are "that doesn't happen" "that doesn't happen" "that happens sometimes but definitely only to people who deserve it and they're not real people anyway so it's ok" "that doesn't happen" "that maybe happened in the past but its funny" "that happened in the past but it was empowering somehow" "that doesn't happen"
the thing is that if you look directly AT various forms of medical abuse it becomes so fucking instantly clear that the forms happening today (forced antipsychotic medication, involuntary institutionalization, involuntary sedation, electroshock, etc etc) all have the same goal that things like lobotomy did: to make someone more convenient to their caretakers. like. that and making money for drug corporations. i was put on multiple medications it was absolutely not appropriate to put a child on when I was institutionalized as a child. there's procedures and meds that they know parents/guardians and insurance companies won't refuse to pay for if their kid or family or whatever is institutionalized and the doctors get kickbacks from the corps to mass prescribe these to institutionalized people bc we're basically like farm animals to them. a captive population to experiment on and charge us money for the pleasure of doing so. this isn't a conspiracy theory, there have been infinite class action lawsuits about these cases. which drug corps work into their budgeting by setting aside Settlement Money bc they know that's cheaper than not illegally giving doctors kickbacks to overprescibe their drugs to vulnerable people. this is public information. it is happening now and it has happened to many, MANY people who are alive today and a lot of them are your own age and you probably interact with them in your daily life without knowing it.
"the kind of person who would be lobotomized" still exists and is still inconvenient to patriarchy, white supremacy, and capitalism. they're still abusing us. stop ignoring us. STOP IGNORING US
I'm obsessed with this chair. The artist takes a flimsy hunk of injection-molded plastic that's been cost-cut to hell and back, and insists that we look at it with fresh eyes and understand its beauty. And they went about it in the most labor-intensive way I can think of.
Absolutely nothing about this design is convenient to execute in wood. Every piece is curved, most have compound curves. This is artisan craftsmanship: it's inherently slow, manual, and skilled. Notice, also, that most features of this chair must be thicker and heavier than on the plastic chairs being imitated. Injection-molded chairs can be produced in this shape in a matter of minutes with far less material at very low cost.
If these flowing, organic curves are so beautiful in polished wood, perhaps they are also beautiful in the mass-produced chairs that are far more accessible. Perhaps we should remember to admire designs that succeed enough to become ubiquitous. I don't know about you, but I'll never see injection-molded chairs the same way again.
I agree with all of this, but YOU HAVE HIT UPON A FORGOTTEN TRUTH OF PLASTIC CHAIRS!!!!!
The standard one-piece injection molded plastic chair is referred to as a "Monobloc", literally just describing it as a single piece. The history of this chair is fascinating, and it all starts back in 1946, with the D.C. Simpson Monobloc.
Douglas Colborne Simpson was an architect mostly active in the 40's and 50's, designing a lot of classic mid-century style buildings in Vancouver, Canada(1). In 1946, as part of a government project to find new uses for materials developed for WWII, he and engineer James Donahue developed the design you see above, simply called the Monobloc(2). Unfortunately, we don't know a lot about this chair as it was only ever a prototype, and no modern examples have survived, nor have most of the records surrounding it(3). To my knowledge, we don't actually know if this was technically injection molded, or crafted some other way. We can't even be sure if it was technically the inspiration for the designs that followed, but no matter the case it has lent its name to the entire genre.
Plastics technology was simply not what it is today back in the 1940's. Most people would have had very little plastic in their homes, most likely just a few pieces of Bakelite (the first commercially viable plastic, made from a formaldehyde based resin in a Bakelizer, the best name for any industrial manufacturing equipment ever). Over the following few decades, however, as a wider variety of plastics were both developed and came down in price to the point of commercial viability, the concept of the plastic chair was revisited, and the first folks to revisit it were Helmut Batzner, in 1964, and Joe Colombo, in 1965.
This, is the Bofinger chair, Batzner's design:
The elements of D.C.Simpson's Monobloc were pretty alien compared to todays mass-manufactured plastic chairs, but here we start to see some more modern elements come into play. The first thing you probably notice is the front legs, which have that characteristic visible 90 degree bend in them for added rigidity, plus a much more comfortably leaned back and slightly scoop-shaped seat. We also see much more support in the back rest, with broad triangles allowing for a more efficient use of materials without losing back support.
Similar to Simpson, Batzner was not an industrial designer, but an architect, and this chair had a very specific purpose. Batzner and his team designed it as part of a project to build a new theater in Karlsruhe, Germany, which required a large amount of additional seating which could be easily packed away into storage or distributed around the theaters rooms by the staff (4). As such, it was designed to be both lightweight and stackable, so several of them could be moved by one person, and they could be stored compactly. This piece of furniture was a huge hit a the theater, and was so popular that 120,000 units would ultimately be manufactured and sold around the world, with each one taking just 5 minutes to produce (4).
Around the same time, Joe Colombo enters the scene with this:
Colombo was an artist in several mediums who, after taking over his families appliance company in the 50's, made the shift towards architecture and interior design, and started designing a wide array of trend-setting furniture(5). The chair shown above is known as the Universale (sometimes referred to as the Chair Universal 4867), designed in 1965. This chair differs pretty greatly from the ones that came after it, it many ways it represents a different path that could have been taken, but it's also very widely referenced as an inspiration for what is broadly considered the origin of the white plastic chair the world over.
Enter: the Fauteuil 300
This is, arguably, the first iteration of the white plastic chair we all know today. Designed by Henry Massonnet in 1972, the Fauteuil 300 and it's imitators are, collectively, the single most widely used piece of furniture in the entire world(6). Before that, however, it was something else entirely: works of art.
What might be hard to recognize in hindsight is that all of these chairs described so far were not everyday objects. They were on the forefront of modern design, they made use of brand new materials and manufacturing processes, and at the time they were each made, they were slick, stylish, and fairly expensive. Despite the speed at which they could be manufactured, these innovative, high-end chairs rose sharply in cost up through the early 1980's due to the sheer demand for them. They weren't cheap spare seating you stuck in the garage, they were placed at dining tables and on fine patios, and they were a wildly popular talking point. That's not to say their expense justified their artistic value, but rather that their expense and popularity was a product of their status as highly contemporary and boundary-pushing designs.
With the price of plastics declining after the 70's, the increasing accessibility of injection molding to manufacturers, and the widespread popularity of these designs, copycats proliferated rapidly, and eventually drove the price down. This era, in the 80's and 90's, is when these chairs became cheap an ubiquitous, and where they became manufactured the world over.
And here is where we reach this piece, "Plastic chair in wood", by Maarten Baas, and a piece of the history I've left out so far. The Monobloc was designed to be made out of wood. Like the the other chairs designed by Joe Colombo, like the chairs that predated the Simpson, the Monobloc was designed with the intention of using laminated plywood, but as the artists and designers behind them began to experiment with new materials they fell in love with the idea of making them from plastic, and so they did. They redesigned and redesigned until they made something that would be impossible to make in wood at a price most people could afford, but which could be made from plastic in mere minutes. The organic curves and thin profiles would take so much time, so much waste material, so much skill and effort to create if made of wood that they could never be furniture, they could only be art. Baas' chair is a perfect, beautiful reflection of that.
That, in brief, is the history of the design of the white plastic Monobloc chair, but it's not all there is to know. In fact, it's kind of just the start. I've linked my sources below, but I would strongly recommend checking out the German documentary Monobloc, by Hauke Wendler. It goes over the history, but it's far more interested with what the Monobloc means, and what it's place is in our world today. The impact it's made, the better and the worse, and what it says about us. It's fascinating, and well worth your time.