Further context: Durham city council (Reform UK) cut funding and support for Pride. The Durham Miner's Association and other trade unions raised enough money for Durham Pride 2026 to go ahead - a direct call back to when Lesbian and Gays Support the Miners (LGSM) raised money for mining communities when Margaret Thatcher seized union funding during the miner strikes of 1984-85.
At the 1985 Labour party meet, the motion to support LGBT rights as a party was passed due to a block vote from mining unions.
Stephen Guy, the chair of the Durham Miners’ Association, said that when it became apparent Durham Pride was under threat, he took it upon himself to “encourage the trade union movement to step up and do the right thing, and stand shoulder to shoulder with the LGBT+ community […] They not only raised funds for us, but came to our communities, uplifted our spirits when they were down, and showed their solidarity.”
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Every day I handle more money than I will ever make. Every day.
At the start of my employment, my boss showed me videos of people stealing, and we both had a chuckle about it. How silly they were! There was a camera overhead, and it’s not to watch the shoppers. See, we can’t actually stop shoplifters. They get away with it maybe nine out of ten times. But we, who are watched and tallied and witnessed? We are always caught.
At first it was hard to hold one hundred dollars bills. An amount I had never seen before. An amount that didn’t exist in my household. It’s normal now. Here is something that is not for me.
“What the hell, I’ll take another,” says the man, pondering our 200 dollar watches. What the hell. Total comes to 580 and not even a flinch in his face. I have been working for 11 hours today and made only 110 dollars. It will go to my rent. Today I work for free, it feels. When I get my check, I will have 35 dollars left for food and saving.
The six hundreds he hands me go into the cash register. For a moment, I imagine having money. Then I put it away, counting out his change.
I know for a fact we sell our products for double what they are worth. That I could be making commission. That they could hand me those 580 dollars and change my life and not even mark the difference in their checkbooks. He’s not the only sale they make today, but I am the reason they made it. He’s not the only one spending 600 dollars, but if I hadn’t spent two hours with him telling me about his life, he wouldn’t have spent any. I go home. I don’t own a watch.
I have watched and rewatched a video on how to make salmon four ways. My shopping list is always the same. Pasta. Rice. Tuna. If I can afford butter it was a good week. I dream of the world I will never walk in, where I can throw the best fish fillet in the cart with a shrug. I hold hundreds in my hand and look up at the camera. I put them under the cash drawer.
I go to work. I scrap together my savings. I eat my bowl of rice slowly. My manager takes a paid week off from work just for his birthday. He owns a yacht.
i wrote this while i was working at orlando’s walt disney world parks.
i was part of their college program. i moved to the state for it. they legally owned the building i was living in and still charged me rent. i ostensibly was being charged to work for them. it was a 2 bedroom apartment and they placed 6 adult women in it in forced triples.
as many as one in ten disney employees have experienced homelessness while working for the company. despite huge efforts to unionize, strike, or otherwise demand fair treatment; disney has refused to increase employee quality of life.
disney admits publicly that a good portion of their success is because the employees (“cast members”) are dedicated, passionate, and selfless. this is never reflected in pay. even “face” characters (ie those that are princesses etc) make barely above a minimum wage.
at the time that i worked there, i made $8.50 an hour. at one point i was asked to create a human shield around a bag because a bomb dog had alerted to it. for eight fucking dollars an hour.
i now work a very cushy office job. i have bought the salmon and cooked it all four ways.
i go to the store. i am nice to the person behind the counter. she looks up at the camera while she counts out my change. there is nothing fundamentally different about her and i.
ive invented (note: dubious claim) something i call the bear diet which is mostly fruits and vegetables with fish as the main protein source and something like once a month you eat a few hyperprocessed foods of your liking because that is when you, the bear, raid a dumpster in the suburbs
StumbleUpon once sent me to a supercut of Lion King, Lion King 1 1/2, and Lion King II, the main edit being that the scenes of Lion King and Lion King 1 1/2 were interspersed so that they happened in the order they actually happened.
The Bored Button - "Press the Bored Button and be bored no more."
The Useless Web
Cloudhiker - "Discover the most interesting, weird and awesome websites of the Internet" (not really a rebrand, it's a different person running it but they have the same intention in mind)
Astronaut.io - "These videos come from YouTube. They were uploaded in the last week and have titles like DSC 1234 and IMG 4321. They have almost zero previous views. They are unnamed, unedited, and unseen (by anyone but you)."
Marginalia - "This is 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."
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“I don’t like this expression “First World problems.” It is false and it is condescending. Yes, Nigerians struggle with floods or infant mortality. But these same Nigerians also deal with mundane and seemingly luxurious hassles. Connectivity issues on your BlackBerry, cost of car repair, how to sync your iPad, what brand of noodles to buy: Third World problems. All the silly stuff of life doesn’t disappear just because you’re black and live in a poorer country. People in the richer nations need a more robust sense of the lives being lived in the darker nations. Here’s a First World problem: the inability to see that others are as fully complex and as keen on technology and pleasure as you are.”
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.
This is - legitimately - my favourite delivery of Shakespeare I have EVER seen (and I have seen some good-ass productions yo, in the Globe Theatre itself even). Like seriously, even though the words are unchanged, he’s stripped away ALL of the archaic pretense and assumed grandeur of ~presenting the bard~ that makes even the most wildly talented of actors and innovative of productions inherently inaccessible to a modern audience. Like, they’re still great, they can still communicate the message and (some) of the nuance, but they’re still always a step removed from being identifiable to any viewer’s lived experience. They’re still always reciting 15th century poetry. But this guy? This guy is like, screw iambic pentameter, to hell with being precious about the material, HOW WOULD AN ACTUAL PERSON SAY THIS SHIT?
Like this. And it’s beautiful. It’s beautiful to hear a soliloquy I loved so much already, and have it come to life in a way it never, ever, did before. I feel like I grasp his motivations, his twists and turns, no longer on an academic level but on a visceral, instinctive one. Because he’s presenting his mental and emotional journey in a way that speaks honestly, like a real person.
So yeah, this shit post? I love it. Deeply and sincerely.
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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
Okay but you forgot the best part! During the scene where Aragorn, Gandalf and the other Main CharaktersTM ride ahead to go shout at the gate (and talk to the mouth of sauron in the extended edition) they were very firmly told only to ride up ahead “this far” because that area was cleared and beyond that it wasn’t.
But. Viggo Mortensen is absolutely mad and lead them just…. a bit farther than that. Everyone else was very scared they might blow up any second. Viggo said it “added a little extra tension”.
Viggo was just Like That™ for the whole trilogy, taking method acting to extreme levels:
he would spend multiple days walking overland to locations in full pack, sword, & armour when everyone else was travelling in trucks
refused to use any prop swords that weren’t actual steel
basically lived in the forest in-costume, sleeping rough under the sky, even fishing & foraging for his food when possible
often spent hours in the barn just bonding with the horses. He adopted the horse he rode, Uranus, after filming ended
repaired all his own gear by hand, which was often since he never took it off
had a tooth knocked out during filming but had the crew simply glue it back in place so they could keep filming
the instructor who taught everyone swordplay said Viggo was the best swordsman he had ever trained
carried his sword literally everywhere & practiced non-stop, resulting in the cops being called when locals reported “a wild man swinging a sword around his head" outside a gym in Wellington
an orc actor fucked up & accidentally threw a dagger directly into Viggo’s face, but Viggo just deflected it with his sword. They kept that shot
infamously broke 3 toes kicking that helmet but stayed in-character & sold his very real scream as part of the scene. They also kept that shot
Viggo insists on doing his own stunts; in The Two Towers where Aragorn is unconscious & floating down the river, the strong current pulled him underwater for so long that a rescue team had to go in to save him. Viggo survived by grabbing a boulder on the riverbed and pulling himself to the surface
It’s probably more accurate to say that Aragorn played Viggo Mortensen in the off season, so I’m 100% unsurprised to hear he put a whole crowd of fellow actors in genuine mortal peril for a 12% increase in authenticity
when people defend the “Cis white guy is default” thing like “He’s meant to be an everyman we can all relate to and project on!” kindly remind them the largest ethnic group in the WORLD is Han Chinese and the highest gender percentage fluctuates so if you want an ACTUAL “default” you want a 40 year old chinese person whose gender changes from year to year.
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You may think the phrase "He's just a little guy" comes from internet memes, but you would be wrong.
The true origin of the phrase belongs to celebrated author Tamora Pierce, in her 1983 novel Alanna: The First Adventure, when Gary says, "Still—what can Alan do for you? He's just a little guy"(49).
Thus, whenever we say of someone or some creature that they are "just a little guy," what we are really saying is that they are a short redheaded knight-in-training with some sort of Gender going on who will kick your butt given half a chance.
Thank you for coming to my TED Talk. May we all be the little guys we wish to see in the world.
Pierce, Tamora. Alanna: The First Adventure. New York, Random House, 1983.
