starting jan 2026 all posts pertaining to News In The Real World is tagged with #real shit. filter it out if you need to. take care of yourself, take care of each other.
“Regarding setting, the court held that both works taking place in Alaska high schools was not protectable because Alaska is a public place and setting a teen novel in a high school is a common genre convention.”
I feel like I need to share this because idk if Europeans are familiar with the presence of Aldi in the US, but at least especially in my area they’ve been growing a lot recently. Like Aldi bought out some local failing grocery chains where I live (Louisiana) and have opened Aldis in all these somewhat rural communities and small towns, which for the record I’m fine with
But as a result of this they are advertising a lot more in my area and also in many cases, the people in these areas have never been confronted with Aldi or any European grocery store. So the ads that Aldi is pushing out to its new US customer base feature a cowboy shopping at Aldi who is explaining to new Aldi customers how Aldi works. Like this cowboy is explaining you gotta put a quarter in the shopping cart and why there are very little name brands. A cowboy is how they want to reach their American customer base. They gave us a cowboy
Rabies is an incredibly lethal virus that kills more than 50,000 people globally each year. About 99% of those people who die from rabies were infected by the bite of a dog. This doesn’t mean that dogs are evil, or that they are disgusting, or that they should be eradicated from the planet to prevent the risk of disease transmission to humans. It does mean that we should do everything in our power to promote vaccination efforts, study disease transmission on a local and global scale, and find ways to prevent infected dogs from encountering and biting humans.
Okay, now are you ready to hear my biggest personal biology hot take?
This is pretty much how I feel about ticks carrying Borrelia burgdorferi (the bacteria that causes Lyme disease) and other arthropod disease vectors. Yes, these animals cause unbelievable suffering to humans by inadvertently transmitting disease, but that doesn’t mean they should be portrayed as evil or exterminated entirely from the environment. Ecologists have been speaking for years on how critical these species are within their established trophic webs, and how their removal could have devastating effects to many other organisms including humans. You can still be scared of or grossed out by these animals (very normal response to a potentially dangerous disease vector), but it’s important to understand that the best way for scientists to minimize the risk of these animals is NOT just eliminating them from the environment. No animal is evil or immoral for the ecological niche it fills, and encouraging a more nuanced understanding of these animals can arm us with better ways to minimize their negative impact to humans.
I booked myself in for a massage tomorrow with my physio lady cause my jaw and neck are all locked up from the dentist today and it makes you fill out a little questionnaire to better tell your PT what kind of treatment you need. except when I was filling it in I’d just taken a bunch of pain killers and words were hard but then I logged back in to make sure I’d actually booked it and
Don’t feel too bad, my physio lady was pissing herself laughing when I showed up. Everytime she tried to pull up my profile to talk about the appointment she’d devolve into hearty chuckling while apologizing continually for laughing at my expense.
And for anyone wondering she was able to ease a considerable amount of the pain. Even while occasionally breaking out into bouts of barely suppressed giggling.
1. Fist: Make a fist around the epi-pen, don’t place your thumb/fingers over either end
2. Flick the blue cap off
3. Fire. Press down into the outer thigh (the big muscle in there), hold for 10 seconds before removing (the orange cap will cover the needle). Bare skin is best but the epi-pen will go through clothing. Avoid pockets and seams.
- Ring an ambulance even if everything seems to be fine!
Oh my god.
So as someone who has to carry an epipen EVERYWHERE I am so happy to see that there’s an info post about them.
Like in the extreme case that I can’t inject myself, somebody else would have to do it, but nobody knows how to do it! Thank you, this may just save my life some day.
Don’t be wimpy about it, either. I know friends who are like, “but idk if I could stab you with a needle!” Please stab me with the needle, don’t be hesitant about it.
In my case (I can’t speak for all allergies), an epi buys me 20 minutes of breathing to get to the hospital. It is not a magic bullet, it’s a few critical minutes to help get me where I need to go.
For those who don’t know, people with serious food allergies carry epinephrine which is an adrenaline shot just in case they have anaphylaxis, which is a life threatening allergic attack. This shot is life-saving and must be administered to someone who is having an anaphylactic attack as SOON AS POSSIBLE, because an extra waited minute could mean their life.
It doesn’t hurt much at all to use this needle. The first time I used mine, I didn’t even feel it. But be sure to stab it IN THE OUTER THIGH. Do not stick it anywhere else or you could seriously hurt or kill someone. Just right to the outside of the thigh and then call the ambulance - even if your friend starts doing better, they could have a biphasic reaction, meaning a reaction that comes back (or they may need a second dose, be on the look out). If your friend has an epipen, then they have an epipen trainer that doesn’t have a needle and you can try it out just to be sure you know how to use the real thing if you have to. I’d also advise holding it a few more seconds then 10, maybe go for 14 just to be sure all the medicine is administered and that you didn’t count too fast - that’s what I did.
THANK YOU FOR THE GRAPHIC I was about to ask because my mom carries one around and so do some of my friends and I wanted to make sure I would do it right if I ever needed to!
[ID: a series of tweets by @/SketchesbyBoze they read:
"I review books for a living, and I’ve noticed a worrying trend of what I call “instagramming the Holocaust.” (1 / 9)"
"Bestselling novels about the Holocaust tend to be “uplifting” and sentimental. They have romantic subplots. Jewish characters only exist to be rescued by the (often American) protagonist. The cinematic, three-act structure culminates in a redemptive ending."
"What these books offer (and they sell in the millions) is a sanitized version of the Shoah in which brave Americans bravely battle Hitler, the reader learns a lesson about Kindness and Not Being Prejudiced, and there are no sticky questions about who did the killings, and why."
"Jewish novelist Dara Horn has observed that memoirs and novels written by actual Holocaust survivors typically don’t sell—because there are no pat resolutions, no redemptions, no heartwarming moments where the Jewish prisoners see the good in their Nazi captors."
"Anne Frank’s (excellent) diary became the entry point into the Holocaust for most of us because she had not yet experienced the worst of it – because she hadn’t yet learned that some people aren’t “truly good at heart.” It’s just safe enough not to disturb us."
"And we love “uplifting” Holocaust novels because we don’t want to be disturbed, not really. This is the real reason why books like Maus offend the sensibilities of middle-class parents, because they bear witness to a truth about human nature that we don’t want to confront."
"And the “message” of the Holocaust is not that people are truly good, or that we need to be kind and tolerant (though that is true). The message is that six million people were murdered, and millions of ordinary folk were complicit, and millions of others looked away."
"This compulsion to sanitize the past, to sanitize the world, is one of the overlooked roots of white nationalism. We want to seal ourselves away from the experiences of others because we fear what they might say to us. We want reality to be pastel-hued and instagram-filtered."
"If you feel the need to shield your children from history that’s upsetting and “inappropriate,” examine yourself. If you need your stories to have positive morals and tidy endings, examine yourself. If you live in a pastel bubble, examine yourself, because the bubble is toxic." end ID.]
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.
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