Massive fuck you to everyone who is talking about Palestinians as if we’re already all dead and sharing more solidarity with our corpses than us living. “We will never forget the beautiful Palestinian people-“ how about you stop “making peace” with Palestinian extermination. My people are not going to be forgotten because we are going to live. Palestinians have already survived one genocide and have been surviving one ever since.
Do not ever let the idea that all Palestinians are going to die exist in your mind. Mourn the dead, fight like hell for the living.
Heavy on the hashtag, because it’s that same line of thinking that had Europeans stealing cultural pieces from numerous African countries in the name of “preserving history” while the people from said culture were starving 10 feet over.
My sycamore tree began life in the gravel at the edge of a parking lot. If trees can feel pain, that is a painful, unlucky death. I carefully dug it up and put it in a pot I made out of a disposable cup.
Hello small one. This world may be cruel, but I will not be.
I decided to take care of it, not expecting it to survive, and when my sycamore tree unfurled one tiny leaf and then another, it chiseled a tiny foothold in my terrified brain, the kind of brain that doesn't remember a world before the atomic bomb and before 9/11.
I googled the lifespans of trees. My neurons had to stretch and expand to accommodate what I learned: My sycamore tree may live five hundred years. It's hard to think something so big. In twenty years, my baby sycamore tree will be three stories tall, and the home of many creatures. In five years, my sycamore tree will be taller than I am. In one year, it will be summer.
There's this concept called sense of foreshortened future where people who have lived through trauma can't conceptualize a future for themselves because deep down they don't expect to survive, When I look forward, all I see is fire and death, melting ice and burning sky. We were raised Evangelical. All we see is Judgment Day, except there is no heaven.
But now there is a tiny gap in the wall, a crack in the door of my cell
and on the other side, I see a tree
There is, in the future, a great old sycamore tree, full of clean winds and the stir of a thousand wings. A hundred years from now. Fifty years from now. There will be forests in that world. There will be a world.
It takes courage, but we have to imagine it.
Most tree species can live in excess of three or four hundred years. I think I'm learning something. I think there are ancient voices saying hello small one, touch the dirt and the leaves, for now you are part of something that cannot die
in 2030 I will be thirty years old and the world will not have ended and there will still be hummingbirds, and we will have photos of the stars more beautiful than we can now imagine.
I planted an Eastern Redcedar; they may live nine hundred years. There will be nine hundred years. The people in that time will remember us. Maybe we will meet the aliens (hi aliens!).
I will blow out the candles on many birthday cakes in a world where there are wolves in dark forests far from home. I am learning to imagine the future. I learned recently that elk were reintroduced to the Appalachian Mountains after over a hundred years of extirpation, and that they are expanding their range.
That tiny crack I can see through now opens a tiny bit more:
Maybe elk will pass through my hometown, maybe there will be a forest where the pasture is on the high hill that I can see from my home
say it, say it, say it: ten years, thirty years, a hundred years from now
I am learning to imagine the future. There is a crack in the wall of this prison, of this machine, of this darkness, and through it, I see a tree.
there's this phenomenon i've noticed on youtube which i dub "man math" which is when men STEM-ify hobbies/activities/art forms in order to make them more masculine. it's very noticeable in the cooking video sphere where there's an endless stream of videos made by men along the lines of "the SCIENTIFICALLY PROVEN best way to cook an egg" (and dgmw, i watch them and find them helpful, but the observation stands), but i notice it also in the way men approach ceramics (a lot of focus on mold-making and slip-casting to perfection, basically reinventing one man mass-production rather than play and discovery), tailoring/sewing/knitting/textile art, gardening and other nature-oriented hobbies, interior decor, furniture making and woodworking, journaling/planning/productivity, even drawing and painting, there's always some man math angle to it that although interesting it often strikes me as some sort of overcompensation to move away from the inherent vulnerability that comes with art making and once you notice it it's literally everywhere
Something that I have noticed is I know almost nobody my age that goes to a food pantry. I know people who regularly run out of money for food and in general have to eat an unsuitable diet because that’s what they can afford and they still don’t go to a food bank, im not sure if it’s because they’re embarrassed or maybe if you didn’t grow up going you don’t know much about it but if you’re financially struggling I really recommend it. And look into other options for food assistance too like community fridges and gardens and other programs that can assist you, where I live Salvation Army pays for an allotted amount of grocery delivery for low income people every month, in the summer farmers take excess produce to the library to be taken by anyone who needs it, etc. There are a LOT of resources for free food that you can look into especially if you are literally not eating because of your financial situation
I think part of getting better is complete ego death. Like you’re not above setting a timer for 5 minutes and focusing on a task. You’re not above doing a very simple 3 minute workout to start. You’re not above reading for 10 minutes a day when you first get out of your reading slump, even if you used to read for hours. You’re not above starting slow and then building up to where you want to be/where you once were. What you are above is total inertia. Doing something really is better than doing nothing. Radically accept where you are, radically accept your limits, and go from there. Don’t let your ego get in the way.
In light of recent events, I have begun submitting bug reports when I see mature content labels applied inappropriately to posts, especially if an appeal has been rejected.
for what it's worth: after a few months of submitting help tickets as 'feedback' when i saw a post inappropriately flagged as mature, i tried following this suggestion instead. today i got my first-ever response from tumblr support on this issue, letting me know that a post i'd submitted a ticket before has had its mature content flag removed.
This is what's so fucked up about "nothing that requires the labor of others is a human right".
The labor is already being done under capitalism. The laborers are already being underpaid under capitalism.
When you propose removing the greedy profiteers and paying the workers a reasonable wage, people call that "slavery" while they have no problem with the current system.
The murder of 14 y/o’s Cyrus Carmack Belton teaches that the system of racism is alive and kicking. Black people’s suffering is just a side note for most; black people’s activism is an aggression. When people started talking about Black Lives Matter movement, people ridiculed it, they called it woke, loud, exaggerated, and some people even sported t-shirts with the words “White Lives Matter” printed on them. They did not want to see that historically , socially, structurally, black lives have not been as protected as white lives. And they don’t care. While the country never ceased to be hostile to its black citizens, it would be ignorant not to notice how this hostility has been growing and growing in the last two years. People will prize more four bottles of water than were never stolen in the first place than the life of a black child. Shameful
Kurt Vonnegut wrote: “When I was 15, I spent a month working on an archeological dig. I was talking to one of the archeologists one day during our lunch break and he asked those kinds of “getting to know you” questions you ask young people: Do you play sports? What’s your favorite subject? And I told him, no I don’t play any sports. I do theater, I’m in choir, I play the violin and piano, I used to take art classes.
And he went WOW. That’s amazing! And I said, “Oh no, but I’m not any good at ANY of them.”
And he said something then that I will never forget and which absolutely blew my mind because no one had ever said anything like it to me before: “I don’t think being good at things is the point of doing them. I think you’ve got all these wonderful experiences with different skills, and that all teaches you things and makes you an interesting person, no matter how well you do them.”
And that honestly changed my life. Because I went from a failure, someone who hadn’t been talented enough at anything to excel, to someone who did things because I enjoyed them. I had been raised in such an achievement-oriented environment, so inundated with the myth of Talent, that I thought it was only worth doing things if you could “Win” at them.
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 “compute expert-level answers using Wolfram’s breakthrough algorithms, knowledgebase, and AI technology.” 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 won’t record your searches or use your personal details for advertising. Uses “&” as a bang search.
Another privacy-based search engine is Search Encrypt, which uses local encryption to ensure that users’ identifiable information cannot be tracked. Metasearch across multiple engines.
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.
Gibiru’s tagline is “Unfiltered private search” and that’s exactly what it offers. Requires AnonymoX Firefox add-on for privacy.
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.
MetaGer offers “Privacy Protected Search & Find” 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.
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.
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.
https://www.mojeek.com/
https://wiby.me/ - It’s goal is to index as many personalized websites as possible, and NOT commercial sites.
https://4get.ca/ it works a lot like SearX, but honestly better. It doesn’t have its own index, but pulls from many others. I think it’s 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/
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
