Love how tumblr has its own folk stories. Yeah the God of Arepo weâve all heard the story and we all still cry about it. Yeah that one about the woman locked up for centuries finally getting free. That one about the witch who would marry anyone who could get her house key from her cat and itâs revealed she IS the cat after the narrator befriends the cat.
What about the one with the princess locked in a tower learning to become a wizard? Thatâs lived in my mind for years and I havenât seen it in a long time
Oh, love that story, adding it to the list:
20. Princess Talia
and adding a few more contenders
21. Thyme
22. The Monster under the Bed
23. A Meaningful Death
24. Humans are unstoppableâŚuntil they arenât
25. The Monster under the Fridge
26. Antler Guy
27. Cleric slamming healing spells
Adding a few more I remembered:Â
28. The Frog and the Scorpion
29. HSTHETE
30. The First Witch in the World
31. Imagine that Oceans were replaced by ForestsÂ
32. A Faerie taking a NameÂ
33. The Dragon on the FarmÂ
34. Synovus & MenaceÂ
35. Raising the Anti-ChristÂ
36. Aliens vs. Flora & Fauna of Earth (pretty sure there are even more additions to the original post but I had this one saved)Â
37. Doctors without BordersâŚin Space!Â
38. The Villain-WranglerÂ
39. The Last ContactÂ
40. The 100 Parent-Point ChildrenÂ
41. And the Heavens WeptÂ
42. The Night GentlemanÂ
43. The Serpent God and their PriestessÂ
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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.
random PSA, I know a lot of people use duckduckgo as a Google alternative search engine, but it always kind of annoyed me when I was using it because it felt like No Name Brand Google
I have switched to using Startpage.com and vastly prefer it. for one thing, instead of displaying an "AI summary" at the top of the search results (unless you turn it off, yes I know), it displays the first paragraph of the Wikipedia article, with link, whenever it finds one that's relevant.
also a waaayyyyy better sense of design than duckduckgo
also private, European based, least annoying search I've used lately (RIP old "don't be evil" Google)
i have one of those, scraped from multiple different rec posts:
Search Engines
Infinity Search is an alternative search engine with a special focus on privacy
DuckDuckGo is a popular search engine for those who value their privacy and are put off by the thought of their every query being tracked and logged. Uses bangs, ![site] for in-page search (sells your data to microsoft and draws from fucking bing)
WolframAlpha is a privately owned search engine that allows you to âcompute expert-level answers using Wolframâs breakthrough algorithms, knowledgebase, and AI technology.â A data search engine.
Boardreader is a search engine for forums and message boards. It allows you to search forums and then filter down results by date and language.
Based in France, Qwant is a privacy-based search engine that wonât record your searches or use your personal details for advertising. Uses â&â as a bang search.
Another privacy-based search engine is Search Encrypt, which uses local encryption to ensure that usersâ identifiable information cannot be tracked. Metasearch across multiple engines.Â
Offering unbiased results from several sources, SearX is a metasearch engine that aims to present a free, decentralized view of the internet. Can be self-hosted.Â
Gibiruâs tagline is âUnfiltered private searchâ and thatâs exactly what it offers. Requires AnonymoX Firefox add-on for privacy.Â
Disconnect allows you to conduct anonymous searches through a search engine of your choice.
Swisscows provides fully encrypted searches to protect your privacy and security. Built-in violence/porn filter cannot be overridden.Â
MetaGer offers âPrivacy Protected Search & Findâ through its anonymised search. A plugin will allow it to be made a default.
Gigablast is a private search engine that indexes millions of websites and servers real-time information without tracking your data, keeping you hidden from marketers and spammers. Variety of filtration and refinement options for searching.Â
Oscobo is a search engine that protects your privacy while you search the web. By not using any third-party tools or scripts, your data is protected from hacking and misuse. Has a Chrome extension to allow use in toolbar.Â
https://search.marginalia.nu/ an independent DIY search engine that focuses on non-commercial content, and attempts to show you sites you perhaps weren't aware of in favor of the sort of sites you probably already knew existed. Use old-school searching rather than query-based for the best results.Â
https://www.mojeek.com/Â
https://wiby.me/ - Itâs goal is to index as many personalized websites as possible, and NOT commercial sites.Â
https://4get.ca/ it works a lot like SearX, but honestly better. It doesnât have its own index, but pulls from many others. I think itâs the best for research, since it allows you to search for answers from different indexes, is easy to configure, add free, and avoids censorship as much as it can.
https://www.searchenginemap.com/ for more on how search engines relate to each other.
https://yep.com/ is a crawler
https://www.etools.ch/ retrieves from Google, Mojeek, Bing, and Yandex, like Searx
https://www.dogpile.com/Â
https://searxng.org/ (next gen Searx)
https://luxxle.com/ - possibly conservative?
https://presearch.com/ - good for academic?
https://kagi.com/smallweb - free/randomised Kagi.
Other Searchers
www.refseek.com - Academic Resource Search. More than a billion sources: encyclopedia, monographies, magazines.
www.worldcat.org - a search for the contents of 20 thousand worldwide libraries. Find out where lies the nearest rare book you need.
https://link.springer.com - access to more than 10 million scientific documents: books, articles, research protocols.
www.bioline.org.br is a library of scientific bioscience journals published in developing countries.
http://repec.org - volunteers from 102 countries have collected almost 4 million publications on economics and related science.
www.science.gov is an American state search engine on 2200+ scientific sites. More than 200 million articles are indexed.
www.base-search.net is one of the most powerful researches on academic studies texts. More than 100 million scientific documents, 70% of them are free.https://cosine.club/ is an electronic music similarity search engine
@everything-you-feel-is-real I know by tumblr tradition that I'm to say "impossible, my posts never blow up like that," or "please don't do this to me."
But I feel in my bones that you are right. If this is to be my wife's moment of glory, I am willing to suffer notification overload, that the world may know she is funny. #MyFunnyWife
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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. Itâs 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!
there's this account on bluesky that just randomly samples the last reply someone made before getting blocked by the person they were replying to and it's a really good gimmick blog concept. I don't think tumblr data is public enough to make this possible here unfortunately. some samples:
in Finland, it is illegal to kill a bear when itâs hibernating. If you ask a hunter why that is, a number of them will tell you itâs wrong simply because it is the law, and they donât make a distinction between what is right, and what is legal. Most people like that are perfectly normal, decent and respectable people, just like the rest of us.
 But if you ask people who think about things, the answer is vague. Killing a hibernating bear would just feel⌠impolite? You canât fucking shoot a man when heâs sleeping, thatâs just fucking rude. Itâs just not the right thing to do.
 Long before hunting laws were established in Finland, you couldnât kill a sleeping bear, and what commands you is something older than law: tradition. Even at a time when hunting was a matter of life and death, and a bear fighting for its life is mainly a matter of death, you just didnât kill a hibernating bear, you have to wake it up first. Hunters risked their lives, the lives of their brothers and everyone in the hunting party, who were friends, family and men that they loved, to give the bear a fighting chance.
 In the modern time, the hunting season of bears is in the summer, for the warmest summer months. There are many reasons for why they are allowed to tread safely in autumn and to sleep in peace through the cold months, almost all of which are rational and scientific, and do not touch the old traditions.
 Old faith says a living thing has many souls - henki, luonto, itse. Plants only have one - the one that wills them to grow. Animals have two, both the spark of life and nature that enables them to act. A human being also has the third, one that makes them a person, personality, itse, literally âselfâ. But the soul that travels in your dreams is not the soul that defines a human - animals have that one as well. When your dog runs in her sleep, her soul is elsewhere, where a dog is needed.
 Oneâs waking soul is elsewhere when they sleep and dream. A bearâs soul is somewhere else when they are hibernating - there are two words for âhibernationâ in finnish, one of which is talviuni, âwinter sleepâ, and that is the one that bears have - and if you kill a sleeping bear, their soul is not in the body, it is still out there, and it can find you, and as a revenge for killing its body, Ghost Bear will kill your entire fucking family.
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in Finland, it is illegal to kill a bear when itâs hibernating. If you ask a hunter why that is, a number of them will tell you itâs wrong simply because it is the law, and they donât make a distinction between what is right, and what is legal. Most people like that are perfectly normal, decent and respectable people, just like the rest of us.
 But if you ask people who think about things, the answer is vague. Killing a hibernating bear would just feel⌠impolite? You canât fucking shoot a man when heâs sleeping, thatâs just fucking rude. Itâs just not the right thing to do.
 Long before hunting laws were established in Finland, you couldnât kill a sleeping bear, and what commands you is something older than law: tradition. Even at a time when hunting was a matter of life and death, and a bear fighting for its life is mainly a matter of death, you just didnât kill a hibernating bear, you have to wake it up first. Hunters risked their lives, the lives of their brothers and everyone in the hunting party, who were friends, family and men that they loved, to give the bear a fighting chance.
 In the modern time, the hunting season of bears is in the summer, for the warmest summer months. There are many reasons for why they are allowed to tread safely in autumn and to sleep in peace through the cold months, almost all of which are rational and scientific, and do not touch the old traditions.
 Old faith says a living thing has many souls - henki, luonto, itse. Plants only have one - the one that wills them to grow. Animals have two, both the spark of life and nature that enables them to act. A human being also has the third, one that makes them a person, personality, itse, literally âselfâ. But the soul that travels in your dreams is not the soul that defines a human - animals have that one as well. When your dog runs in her sleep, her soul is elsewhere, where a dog is needed.
 Oneâs waking soul is elsewhere when they sleep and dream. A bearâs soul is somewhere else when they are hibernating - there are two words for âhibernationâ in finnish, one of which is talviuni, âwinter sleepâ, and that is the one that bears have - and if you kill a sleeping bear, their soul is not in the body, it is still out there, and it can find you, and as a revenge for killing its body, Ghost Bear will kill your entire fucking family.
This thing has been out of print for like, 26 years and some of us want to make chubby classic pikachu so uh... I figure it's okay to share bc it's kinda hard to get your hands on the remaining physical copies.
Bonus points: Aelith made some embroidery/applique files for it too
This is FREE, please don't pay for the pattern.
Only the EMBROIDERY is paid.
Remade by AeilithArt so that we could use the pattern without like, destroying it. It's not exact since it's trace, but it's p much the same
"Sys how is your decent into fiber arts hell going"
Glad you asked. I have arrived at 'modern flax is Bullshit compared to what we had in historical textiles, the flax widely available for handspinning is basically the tow that would be discarded from textile creation and used with tar to caulk ships back in the day'
This naturally led me down a hole of 'why is the staple length of this stuff a bullshit 6 inches' and the answer is 'we have bred modern flax more for the oil than the fiber because cotton usurped the place of everyday textile thanks to slavery and the cotton gin'
Anyway, THIS led me to a rabbit hole that culminated in me finding flax seed bred for proper 30 inch tall plants for fiber, sold by some fellow minded nerds on a website that has not been updated since 1998 and you have to email them to buy anything.
I FAILED YOU ALL here is the site. You can also buy flax fiber from them. The PROPER shit, not the hot garbage ass tow fiber sold as flax top for handspinners.
Yet another post that reads like four shakespeare characters who come out in the middle of the play to talk about something completely unrelated for comic relief
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A female Northern Cardinal (Cardinalis cardinalis) and a male Pyrrhuloxia aka Desert Cardinal (Cardinalis sinuatus), struggle over delicious seeds, family Cardinalidae, order Passeriformes,
Southern TX, USA
Have you ever traveled outside your country? Did you enjoy it? If you've never done so, is there somewhere you would like to go?
I have! Iâve been to Germany, USAmerica, Palestine, Egypt, Jordan, Mexico, England, Scotland, and Israel.
I always enjoy being wherever I am, but have no specific plans to be anywhere in particular.
Though specifically the most impactful was Palestine- I went through there shortly before Israel started attacks and itâs. Not really something I have words for.
