“Because the truth is, tech doesn’t have an image problem. It doesn’t have a message problem. It has an intention problem. What’s wrong with the axe murderer who broke into my house is not that he hasn’t successfully persuaded me to buy into his narrative. What’s wrong is that he’s trying to kill me with an axe. Similarly, when you launch a product that’s designed to put millions of people out of work, block access to sources of verifiable truth, replace human creativity with slop, and lower the barriers to every sort of atrocity, the problem isn’t that you haven’t told the public a good story about those things. The problem is that you are trying to do them.”
Rather than distinctly male or female, the human brain is much more like the heart, kidneys and lungs – basically the same no matter the sex of the body it's in.
“This collapse is a telltale sign of a problem known as publication bias. Small, early studies which found a significant sex difference were likelier to get published than research finding no male-female brain difference.”
I was feeling agitated and artblocked yesterday so I decided to give my brain a rest by watching TV and then the next thing I knew these were in front of me
we gotta get back to torrent distribution, i just watched someone eat eight grand in bandwidth charges because they ran a direct-download piracy site with local file hosting through cloudflare. torrents were invented literally for this exact reason
i have a file or folder on my pc that i want to share with other people. let's call it gayshit.mp3
unfortunately gayshit.mp3 is 750mb and im not paying for discord nitro so i need another way to send it
i put it into qbittorrent and it makes a torrent file. this is essentially a very small file that points to gayshit.mp3 so other computers can find it. kinda like a treasure map
i send this tiny file to my friend, who loads it into qbittorrent. their computer takes a moment to find mine over the vast expanse of cyberspace and then (as long as my pc is running and the file is still where it should be), it gets copied from my hard drive to theirs
this is the cool part: if somebody else loads that tiny file, they can download it from both of us. if i'm offline but my friend is on, the third person can still get it. this also means that if two people have separate halves of the file, they can download the other half from each other. as long as some combination of people have the pieces between them, they can all have the whole thing.
crucially this does not require a server!!! you can just upload the file to a few people and as long as they keep it, it's still accessible. as long as somebody, somewhere is still connected, it's available forever. the only way it goes away is if everybody disconnects from it.
Laying on your left-hand side may make for slower pill absorption.
oh wow! hey if you take pills check this out. new medicine taking meta just dropped.
according to these models, out of the 4 tested postures, the best position to digest pills is laying on your right side. standing upright has a similar time to laying in your back at twice as much as laying on the right side, and laying on the left side is the slowest by far.
laying on right side: pill dissolves in around 10 minutes.
standing: pill dissolves in 23 minutes. laying on the back has a similar time.
laying on left side: pill dissolves in up to 100 minutes.
https://doi.org/10.1063/5.0096877
definitely worth a lot more research.
if you want your medicine to kick in fast, try laying on your right side! if you want your medicine to kick in slower, try laying on your left side.
This makes sense! I learned from a doc that if you have gas pain or nausea, you turn on your left side to make it easier for your stomach to send stuff through. The goal in turning left is to NOT absorb, but to release.
Turning on your right can make nausea/gas pain worse because it has to fight gravity to exit your stomach/body. So, yeah, lying on your right would make things absorb faster because it's going into the stomach lining, which is the point.
it’s normal to agonize over needing to craft a resignation letter with such exacting perfection that you manage to perfectly optimize your exit according to all possible variables for every single person involved. right
still caring about internet friends you lost touch with years ago is so embarrassing. yeah i had a deam we met up irl recently. the last time we spoke was maybe 7-8 years ago. i still wear the laces we randomly decided was a sign of our friendship. i dont know what any of your socials are or if youre even active on any. sometimes i see someones art resemble yours and i wonder for hours. do you still go by that name you chose? whenever i see it i wonder if its you. we couldve passed each other in this vastness a thousand times and not have a clue.
[lesbian trying to explain the erotic element of the fixation on their chosen guy] he lacks something fundamental, as a person, and i like that. i like his lack. and i think someone should fuck it
this is a post about censorship and setting your own media boundaries
my mom is a professional film critic. when i was a kid, she'd often take me with her to film festivals and let me see whichever films i was interested in with her. now, the thing you've gotta understand about film festivals is that pretty much all the films being shown there have not seen any kind of wide release yet; maybe they've played at a few other festivals, maybe this is the first-ever public showing. iirc many of the films didn't even have official ratings yet
which is all to say: my mom took little ~10 year old me to watch films that she knew basically nothing about. she had a 1-2 sentence description of the film from the festival guide. sometimes she'd have a press kit with more info. so she may know that a film is about, say, a serial killer, but be unsure how explicit the violence would be
so when we were walking into movies together and she wasn't sure how heavy/dark/violent/sexual it was gonna be, she'd tell me beforehand "hey, this film might end up having stuff in it that makes you uncomfortable. i need to stay through the whole film because it's my job, so if you get scared, your job is to decide if you can keep watching and go out to the lobby if you can't. get some popcorn and i'll find you after the movie is over."
out of all the countless screenings i watched with her, i only remember walking out of one (a movie about a school shooting). i hit a point where i realized "oh, i'm not feeling fun-scared anymore, i'm feeling Real Scared", so i quietly left. one of my mom's friends saw me in the lobby and asked where my mom was, and i explained what happened, and she chatted with me for a while. i got some popcorn. i checked out the arcade games in the corner. by the time the movie was over, i was feeling fine, and now as an adult i don't even remember what the exact moment was that freaked me out so bad i had to leave
similarly, starting several years before that, i remember a few nights where i was having trouble falling asleep and feeling pretty restless, so i'd go out to the living room and ask my parents if i could watch whatever tv show/movie they were watching with them. and they'd say "yep, you can, but this our time to pick what's on the tv, so if you don't like what we're watching you can go back to your bedroom and read until you're sleepy". there were a handful of times when i decided that the thing they were watching was too scary, so i left. the rest of the time, i stayed, and it ended up being an interesting exposure to tv shows and movies i wouldn't have otherwise seen
the points i'm drawing to here are:
exposing kids to media that's "too mature" for them is Good For Them, Actually. adults have a tendency to way underestimate how much kids can handle! i watched mulholland drive when i was like 9! my favorite cartoon in elementary school was futurama!
teaching kids how to judge for themselves when they need to stop engaging with a media experience does a much better job at setting them up to have a healthy relationship with media than just banning them from anything deemed Too Mature For Kids
the ability to recognize "this media is upsetting me, so it's my responsibility to walk away from it and stop engaging" is a critical skill that is actually not that hard to develop, but for some reason a lot of young adults on the internet have apparently decided that they're permababies who are physically incapable of doing something i learned how to do in first grade
Rumination is probably the most common type of OCD compulsion, but I rarely see anyone talking about it. I've talked to multiple people diagnosed with OCD who didn't even recognize it as a compulsion.
Basically, if you have OCD you have terrible intrusive thoughts. They can be about anything, but common themes are fear of being a bad person, fear of hurting someone, fear of contamination. etc.
Rumination is when you get stuck in a spiral. Rumination is when you spend hours catastrophizing, overthinking, analyzing, telling yourself it's going to be okay.
I'll say it again:
Rumination is a compulsion.
Rumination is a compulsion, and that means you have to stop doing it.
I did ERP (exposure response prevention) for my OCD with a therapist! For 9 months! And it did help, but the idea didn't really click until I found this website a couple years later.
And Oh My God. It made things make so much more sense, and I was able to pull myself out of an episode even though I wasn't in therapy or on meds at the time.
Genuinely if you have OCD, or even if you suspect you have OCD, I'm begging you to read some of these articles.
Like this was genuinely life changing for me.
Here are some of the ones that were most helpful to me:
text: [ “Some of you have forgotten that only three years ago you were perfectly capable of writing an essay, writing a eulogy, telling a bedtime story to a child, and it should worry you that powerful companies have convinced us we can’t do things we’ve been doing for 5000 years.” ]
And they're absolutely specifically pushing it, make no mistake. It's not just a matter of "it's there, it's convenient, so people are going to take the path of the least resistance", but it is a legitimate and concerted effort on the part of these companies to get people to outsource all these things to their models.
They're preying on insecurities to do it. Yes, you can write an essay - but can you write a good essay, they ask you. Do you not want to improve your output? Do you not want people to think of you as competent and very clever? Why go through the mortifying process of failing and failing and failing until you succeed if you can just skip the "learning" part of doing, and simply generate a ready-made product?
I'm preaching to the choir here obviously but it's a concerning thing to witness nonetheless. My kid is 6 next week and I've been teaching her that failing at things is morally neutral and in fact necessary even before the advent of AI, but it's becoming ever more important that we teach the kids that criticism and failure and discomfort aren't necessarily bad things, but just a part of the growth process.
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.
what world do people imagine their fursonae exist inside of. I love how undefined it is. some people are like "this is my sona Hryàxe, a hybrid dragon with ice powers who has been alive through three astral ages and toppled many kingdoms of men" and someone else is like "this is my sona he's an arctic fox named blurt and hes a barista in Toronto who loves to play mahjong." And then blurt and hryàxe are lovingly having sex on a tropical beach somewhere. and I'm like how'd they get to the beach
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