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.
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thank you SO MUCH for reminding me about [feature of patriarchy] and [problem caused by lack of kids' sex ed] random tumblr user in the notes! louder for those in the back!
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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 was a really soft-hearted little kid who cried a lot and liked to play games about making big families and nurturing things, which, since I was a boy, meant I got the shit kicked out of me a lot by other boys for being girly. Boys were supposed to be tough and fight and compete and try to be the best, you see, that's how our imagination games were supposed to go. And that's what media aimed at boys when I was a kid focused on - heroes who beat the shit out of people and are tough and don't cry et cetera et cetera.
And I learned to like that and see the appeal in that, sure. There are lots of stories that were made for an audience of little boys that I ended up liking. But I always wanted something that told me boys like me, who didn't want to be violent or competitive, who liked nurturing things and making friends, who avoided fights whenever allowed, were valid.
So I was really happy when Steven Universe came around and was exactly that - the kind of show a sensitive little boy like I used to be would have killed to see. And very shortly after that I was crushed when the growing criticism of the show repeated the refrain that it was bad mainly because Steven was a pacifist who cried and didn't want to be violent and liked nurturing things and making friends instead of killing people. I wasn't surprised, no, it made perfect sense people would hate it for being that, but I was crushed all the same.
Our society only accepts a very narrow definition of masculinity, and kindness isn't allowed to play a very big role in it. That's one of the reasons I quit it.
Anyway, I'm a daycare teacher now, and one of the kids in my class is a really sensitive little boy with big feelings and a bigger heart, who acts very nurturing to his little 3-D printed dragons, and gets very upset at how mean and rude the other little boys can be when they're trying to prove they're mature and tough. Recently he's been talking to me about a show he found and has fallen in love with called Steven Universe, and I've been delighted to hear him regale me about how much he loves it. I bet it's doing him some real good to see that it's ok for a little boy like him to have a big heart and to want to make friends instead of fight all the time. He's making up his own crystal gem OC too, isn't that nice?
There really really ought to be a book about how the staple crops of different civilizations shape and influence those civilizations, and I really want to read it.
Salt: A World History by Mark Kurlansky and A History of the World in 6 Glasses by Tom Standage (three are alcohol, three have caffeine) are not quite that, but may still be of interest?
I read Salt back in the day and it's so so good, second the rec. I have heard of 6 Glasses and not read it but I am sure I would probably love it. Gotta see if the library has it. Thank you!
A Short History Of The World According To Sheep by Sally Coulthard blew my mind. So many things are tied to wool and sheep and weaving and so many words and phrases are tied to wool, people have no idea.
Example words which come from textiles/weaving, if not specifically wool (go look them up!): subtle, shoddy, tabby, Brazil, rocket, twit, warped, going batty, on tenterhooks, text...
I'll throw in a rec for Pickled, Potted, and Canned by Sue Shephard - a very interesting look at food preservation and how the availability of different types of food preservation shaped cultures and cuisines.
The Lost Supper: Searching for the Future of Food in the Flavors of the Past might also be up your alley. It's about "forgotten" foods and staples. They talk about different types of wheat, sauces, veggies, etc and a little about the cultures from whence they come
DO I HAVE A SERIES FOR YOU. University of California Press has a gift for you and it is a 80+ book series on food studies. There are even some that are open access (legally free), but the rest are in libraries.
I also highly recommend Frostbite by Nicola Twilley. Itβs about the impact refrigeration has had/is having on food preservation and culture, globally. It was one of my favorite books of this last year.
Can't believe no one's mentioned Consider the Fork yet, which is about how environment/resources shape our ways of eating, which shapes both our culture and our concepts of politeness. So interesting, really recommend!
pluto (the celestial body) told me that itβs actually kind of upsetting how much you guys insist on her being a planet. she says it feels like you donβt like her for who she is and youβd prefer an imagined version of her instead. whatβs so terrible about being a dwarf planet, she asked me. does she have to be a βrealβ planet to be worthy of love?
a very interesting terf objection to this one boils down to "but how would the state know who to protect?" because it speaks to the incredible privilege of being in a class the state actually ever remotely wants to protect. most oppressed groups do not want the state to have a registry of them, lol
Researchers can do studies that track disparate impacts across genders just fine without the government storing your assigned sex as part of your legal identity. They do this with race and orientation and disability and so on just fine.
A census can understand population level trends just fine without storing your assigned sex as part of your legal identity. They can ask for this information in the census. The census tracking population level data is not the same as your assigned sex being permanently part of your legal identity. (At least, the way my country does a census.)
Your doctor can know your anatomy by you communicating it to them if/when it is relevant. There is never a time when they might need to know something that could only be conveyed by your assigned sex being officially relayed to them via government documentation. You can just use your words. The same way you tell your doctor any other part of your medical history.
People respond to "the government doesn't need to store your assigned sex as part of your legal identity" as if they are hearing "no one should ever acknowledge gender or sex at all" but that's not what's being said.
Your birth certificate conveys important legal information about you. Your name, as a designation. Your parents, as they have a legal obligation to you. Your place of birth, as that place has a legal obligation to you. Date and time of birth, since age is important for application of some laws.
And sex. That's on there too. But what is the legal relevance? What laws is the government going to apply to you differently based on what sex is on your birth certificate? I can only think of one thing my government really uses that for, and that is to determine who has to sign up for the draft. And guess what, fuck that shit anyway. The government also used to use this to decide who is allowed to marry who. They don't do that anymore. For now.
There is literally no reason my assigned sex needs to be part of my legal identity. My government is not using that for anything (important). It doesn't matter. If the gender markers on everyone's IDs vanished tomorrow nothing (except maybe the draft) would be significantly negatively affected. Data collection for research could continue as usual since researchers usually have people self report these characteristics rather than checking their government IDs. My doctors would still know which organs I have and if they forgot, I could tell them. I don't want anything to be part of my legal identity that doesn't have to be.
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I cannot stress enough that I fundamentally distrust callout posts, and I will distrust you if you send them to me.
Don't get me wrong: I investigate warnings, and I act on them if they're true and relevant. But callout posts are, on a very fundamental level, not about what people say they're about. There are exceptions, but generally speaking they're made for one or more of the following reasons:
OP didn't like the subject to begin with (often for bigoted reasons), and they wanted a reason, and a following, to justify and validate that.
OP wanted to gain popularity, so they made themselves look like either a victim, a hero, or both.
OP wanted to claim victim status in a private falling-out in order to preserve good standing with their own friends/their community.
OP didn't like what the subject was saying, and wanted to silence them (often for bigoted reasons).
OP genuinely just wants "revenge" on the subject, or otherwise wants to ruin their reputation and have them sent harassment.
Again, there are exceptions: there are "callouts" that just unravel a subject's lies, or point out problems in already public actions. If OP is claiming to have been personally victimized in a legitimately serious way, and especially one that indicates the subject might be a danger to others, I'm definitely more willing to believe it- one obvious example being sexual violence.
But oftentimes, callouts are incredibly personal, misleading, emotionally manipulative, blatantly untrue, or all of the above.
This person came to me on anon; I have absolutely no way of knowing what their motives are or how trustworthy they are. There is no credibility or accountability here.
And I did read the post. Lo and behold, it's riddled with emotionally manipulative language, false accusations, and the biggest reaches I've ever seen:
"DON'T READ THIS CALLOUT, IT'S SO TRIGGERING TO EVERYONE, JUST TAKE MY WORD FOR IT. But the proof is here if you REALLY don't believe me"
"Proof" is a scarce handful of screenshots taken out of context that contain emotionally evocative language, but do not support the accusations at all.
Some accusations are genuinely just weird logic leaps with no support, others are matters of personal opinion obviously driven by bigoted motives.
OP themselves expresses very publicly that they believe people who are marginalized in the ways the subject are, who speak on that marginalization, should be silenced.
I try to assume good faith here, and I want to believe this anon was just guilt-tripped and manipulated by the post in question. I don't hold any ill will here.
But anon, I want you to ask yourself:
Are the accusations you're making something you have personally investigated and found to be true?
Does this person deserve the harassment and ostracization they will likely receive as a result of your accusations?
Will you hold yourself accountable for the damage you've caused if you're wrong?
And if you're absolutely certain you're right, come off anon and talk to me as a human being; because I can't believe you're ready to be accountable for these accusations if you won't even put your Tumblr blog behind them.
I've had actual, honest-to-god callout blogs reblogging this post like "yeah I research all the claims here!! they're real and you can trust me (:" as if the entire purpose of their blog is not to encourage their followers not to check those claims themselves, not to think critically about why those claims are made in the first place, & to just rely on random strangers to tell them how to think and who to completely ostracize from potentially vital communities, support systems, and resources.
I cannot emphasize enough that if you spread "callout posts" as a fucking hobby, this post is explicitly about you.
For those of you with android devices, you can use the Android Debug Bridge (ADB) standalone app control program to get rid of all the bloatware, data mining, and AI crap - no coding needed!
There are also Android-based alternatives like GrapheneOS and LineageOS, which are pretty easy to install. These are unfortunately available for a more limited range of devices (Graphene is ironically Pixel only, while Lineage supports more), but it's very worth checking out whether one of them might work for your phone.
GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.
LineageOS Android Distribution
Typing this from Graphene now, in fact. But, both of those take the Android Open Source Project, without all the bloatware--and largely de-Google the whole thing. They give you much more control over privacy and what the apps you choose to install can do and access on your phone.
I know Graphene sandboxes everything, including the optionally installed Google Play Services which a lot of apps unfortunately require to run. (Lineage uses an alternative to Play Services instead.) So, you can install what would normally be unacceptably intrusive apps and just lock them away from pulling any funny shit with your data, or phoning home. Including the couple of Google things I do still keep around.
I also prefer running much more transparent, privacy-respecting open source apps where possible. Besides the transparency, I'd rather avoid the shitty tech corps entirely where I can. There are pretty good alternatives available for a lot of the usual suspects.
AlternativeTo lets you find apps and software for Windows, Mac, Linux, iPhone, iPad, Android, Android Tablets, Web Apps, Online, Windows Tab
An alternative app store:
F-Droid is an installable catalogue of FOSS (Free and Open Source Software) applications for the Android platform. The client makes it easy
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having lunch and someone's watching cnc videoes loud as fuck style so i'm just here chewing my food while there's sounds of water jetting and steel screeching in the back
Me, assuming that people are supposed to assume that the reader is supposed to read it as Consensual non-consent, and that the punchline is it not being so:
ok so this is another long shot but a few years ago there was a twitter post (in japanese i think?) that had measurememts for how to make this book stand thing out of cardboard that you could use to double up books and use up more space on shelves
back then i made a bunch of these but by now i lost the pic and dont know how to find the original post anymore
if it comes down to it i can just take one apart and get the measurements from there but i would be very grateful if anyone happens to have the original post or something similar??
don't mind how long it's been since i made this post, anyway i realized that i don't even need to take one apart to get the measurements when i can literally just unfold it and refold it /FACEPALM
so anyway here is the diagram for anyone else who is interested!!
this requires pretty big carboard pieces, if you have a really big box or something you can make it from one piece, but if you don't, you can also just make each of the pieces individually and then tape them together
and then in the end you put it together like this!!
and then when you make a bunch you can put them all next to each other and stack your books like crazy
EVERYONE START GETTING MORE USE OUT OF YOUR SPACE NOW!!!!