"Les Jardins de Nuit" (censored version) - Mixed media: colored pencils, pastels, ink, and gold leaf on paper. I created this artwork in 2020 for my book Forgotten Gods.
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Please help, we are almost out of food and can't get more till the 12th. Thats 10 days away and I was short $1 for rent and have next to nothing for food, gas or essentials.
It's been one year since I moved out and I'm in the worst position I've been in the entire time. We are going to be looking into food pantries but I need HELP.
[ID from alt: oil painting of a desert landscape. a semitransparent, ghostly coyote is superimposed over it with its eye corresponding to where the moon is in the daytime sky End ID]
The thing that’s always missing from the “women didn’t fight for the right to work they were already working they fought to get paid” is that many women also very much wanted to work.
Women wanted to be lawyers and engineers and chemists. They wanted to use their brains in challenging and interesting ways. They wanted to get the satisfaction from solving problems and inventing new shit and getting attention for it.
I know not everyone is born with intellectual curiosity or drive or determination but some people are and many of those people are women.
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some hyper famous artists like Van Gogh transcend overratedness and become underrated because they're so normalized. Like I'll look at a van Gogh and I'm like wait this really is amazing you guys don't get it
AHHAHA well I also got another message asking for the Vivaldi freakout so. y'all brought this on yourselves <3 <3
FIRST THING TO UNDERSTAND: Baroque music is really really fucking cool. You could see it as a reaction to more constrained medieval/renaissance music, which was often obsessive about certain musical rules. Baroque comes from the Portuguese barroco, "an irregularly-shaped pearl", and was actually used as a criticism meaning something very weird, dissonant, overly extravagant, etc. It's seen as very structured but is in fact a collection of big ol' "fuck yous" to the previous era of musical structure.
SECOND THING TO UNDERSTAND: Vivaldi was really really fucking cool. He was nicknamed "The Red Priest" as a young spicey ginger, and for many years he was the violin maestro at a combo orphanage/music school for girls. He wrote a zillion works specifically for the girls to perform, coached them in music theory and instruments, and helped many of them launch esteemed careers abroad. Also the board of directors hated him and kept firing him and then realizing they needed him and bringing him back, for reasons completely lost to history, but probably related to his spiciness.
THIRD THING TO UNDERSTAND: "The Four Seasons" is really really fucking cool. It's written to accompany four sonnets with super vivid imagery including sudden spring/summer storms ("Thunderstorms, those heralds of Spring, roar, casting their dark mantle over heaven!"), mad drunken revelry, the chase of hunting dogs, slipping on ice and eating shit, etc. When you hear it played properly it's very much not "this pretty song kinda reminds me of spring" but "oh wow I can hear dogs barking in the viola section, chirping birds in the violins, a summer storm wrecking the fuck out of my grain, and dangerously crackling ice!"
FOURTH THING TO UNDERSTAND: "The Four Seasons" is rarely played in the spirit of its time. This is Mozart's fault. Well, not really, he didn't tell anyone to play it wrong. But he did give rise to a cult of strings players who play in a very "Mozartian" style - light, pretty, clean, effortless. And for some reason (ahem. some reason i won't go into as this is long enough), this playing style has become the predominant mode for The Four Seasons. Which makes it sound like light, pretty, clean, fancy music.
As we covered above, it is baroque music, so it is not any those things! It's weird and crunchy and extravagant, with musical affectations that would have been considered revolutionary at the time. If you're playing it in the baroque tradition you're also going to be adding your own ornamentations and expressions. Bringing your own weirdness is encouraged in baroque music.
Basically, it's a crime that everyone sees Four Seasons as "fancy music that plays in movies when rich people are onscreen" when it was written by The Red Priest Who Ran A Girls School For Orphans When That Was Very Much Not The Done Thing And Pissed Off the Board At Every Opportunity, and written during a musical period that history has classified specifically as a fuck-you to "pretty and clean and fancy."
For some real crunchy Four Seasons, I will always recommend Adrian Chandler & the Serenissima. BUCKLE UP TO GET YOUR SHIT WRECKED AND YOUR WHEAT CROPS MURDERED BY A SUMMER STORM!!
completed chains of harrow, which was cool story-wise and creeped me the fuck out BUT OH MY GOD IT WAS IMPOSSIBLE TO SEE A GODDAMN THING ON THOSE MISSIONS.
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.
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Hey tumblr friends, in case I haven't told you lately, I have no idea what the FUCK half of you are on about and I WISH I didn't know what the rest of you are on about. Great work. Keep it up.
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
Not to sound like a Star Wars character but some of you are really letting your fear turn into hatred and then giving in as it consumes and destroys you.
Do any of u have decent recipes that are like 5 ingredients (not including spices) and take 45 mins or less to prepare i gotta stop eating sandwiches for dinner
ignore the title of this google doc because it's a long story but it's a really solid recipe for southwest chicken alfredo
this is a vegetarian potato curry recipe that's about 75% spices; once you get the potatoes in there you can really do whatever you want with it
this is literally just pasta, broccoli, and cheese babey and you can live off that shit for DAYS it makes such a big portion
bro this spinach/pesto/3 cheese flatbread is so fucking tasty bro
also you can make the flatbread yourself it's super quick!!
oh hey I'm eating this white chickpea chili right now, much like the curry it's mostly spices and you can do p much do whatever you want with it
don't let the name fool you these potatoes are delicious any time. not just breakfast.
this is slightly more than five ingredient when you add them together but if you have time and really wanna fuckin treat yourself I recommend these chicken strips + this cornbread + either these potatoes or these buttered veggies on the side.
this recipe for gogumabap (sweet potato and rice) saved my life when i couldn't eat hardly anything for a long time. the recipe itself calls for a heavy bottomed pot but you can absolutely use a rice cooker and put the rice and diced sweet potato in together and just let the machine do its thing
If you have a crockpot, I do a really good pulled pork carnitas that is:
Pork - any cut boneless
Onions- chopped anyway you like
Orange juice - about one cup (you can use about 2 tablespoons of the condensed frozen stuff if you have it)
Root beer, pepsi, or other cola soda - about one cup
Preferred chili mix seasoning - 1-2 packets depending on how intense you like your flavoring and how much pork you put in
Garlic - as much as you wanna, specifically smashed not cut
Canned or frozen corn - to your preference
Dump all that into your crockpot in the morning (or the night before) and let it run on low until dinner. Cook some rice if you feel like it, or just serve over tortillas.
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Make your own era-accurate Star Trek episode title cards in seconds. Boldly go!
The sitemaker (Josh Mayfield at https://bsky.app/profile/bean525.bsky.social) has asked for people to come in and kick its tires so he can work out any bugs they turn up. So do give him a hand, if you feel inclined. :)
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