stellarvoyage

jenny, 49, sweden. she/they. mostly reblogging fandom stuff, pretty things and the occasional political post. likes hiking.

[briarhide]

In light of some of the many things happening across the world this year, I thought this Pride Month needed a special illustration.

Happy Pride Month, may we all stay safe, look after each other, and keep painting our rainbows, no matter what. 🌈🏳️‍🌈🏳️‍⚧️

[tinyghosts]

“I want you to do this with me for one month. One month. Write 10 observations a week and by the end of four weeks, you will have an answer. Because when someone writes about the rustic gutter and the water pouring through it onto the muddy grass, the real pours into the room. And it’s thrilling. We’re all enlivened by it. We don’t have to find more than the rustic gutter and the muddy grass and the pouring cold water.”

— Marie Howe, Boston University’s 2016 Theopoetics Conference  (via mothersofmyheart)

[artemis-howl]

Marie Howe:

I ask my students every week to write 10 observations of the actual world. It’s very hard for them.

Ms. Tippett:

Really?

Ms. Howe:

They really find it hard.

Ms. Tippett:

What do you mean? What is the assignment? 10 observations of their actual world?

Ms. Howe:

Just tell me what you saw this morning like in two lines. I saw a water glass on a brown tablecloth, and the light came through it in three places. No metaphor. And to resist metaphor is very difficult because you have to actually endure the thing itself, which hurts us for some reason.

Ms. Tippett:

It does.

Ms. Howe:

It hurts us.

Ms. Tippett:

You naming something.

Ms. Howe:

We want to say, “It was like this; it was like that.” We want to look away. And to be with a glass of water or to be with anything — and then they say, “Well, there’s nothing important enough.” And that’s whole thing. It’s the point.

Ms. Howe:

It’s the this, right?

Ms. Howe:

Right, the this, whatever. And then they say, “Oh, I saw a lot of people who really want” — and, “No, no, no. No abstractions, no interpretations.” But then this amazing thing happens, Krista. The fourth week or so, they come in and clinkety, clank, clank, clank, onto the table pours all this stuff. And it so thrilling. I mean, it is thrilling. Everybody can feel it. Everyone is just like, “Wow.” The slice of apple, and then that gleam of the knife, and the sound of the trashcan closing, and the maple tree outside, and the blue jay. I mean, it almost comes clanking into the room. And it’s just amazing.

Ms. Tippett:

In some basic level, what they’ve done is just engage with their senses.

Ms. Howe:

Yeah, and have been present out of their minds and just noticing what’s around them, which is — we don’t do. And again, not to compare it to anything. They’re not allowed. And that’s very hard for them. And then on the fifth or sixth week, I say, “OK, use metaphors.” And they don’t want to. They don’t know how. They’re like, “Why would I? Why would I compare that to anything when it’s itself?” Exactly. Good question.

So then you think, why the necessity of a metaphor? Why do you have to use a metaphor now? Not just to do it to avoid it, but to do it to make it more there. And it’s very interesting.

Marie Howe — The Power of Words to Save Us | The On Being Project

The words and silences we live by. The rituals that sustain us. The poetry of ordinary time.

[estro-boi]

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

[estro-boi]

torrents work like this

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.

please learn to torrent

[macleod]

How to Use Torrents (with Pictures) - wikiHow

An expert guide to get started using torrentsTorrents are one of the most popular forms of file sharing on the internet, accounting for over

always use qbittorrent, do not use bitorrent or utorrent.

[indigomood]

Oded Fehr as Ardeth Bay in The Mummy Returns (2001)

[thegentlemanstar]

this site gets accused of being way too usamerican a lot but i wonder what the actual proportion is

are you usamerican

yes

no

some other nuanced answer (pls elaborate in the tags i’m nosy)

Remaining time: 1 day 3 hours

[justalurkr]

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.

[ikarons]

fucked up how for a circle mage warden the joining is just the harrowing Again. secret test you have to take to become a full Member but u also don’t get to opt out and go be a regular person anymore once you’ve been tagged as Part Of It. nobody will tell you what the test entails but like half the people who take it never come back. and even when you pass the life you’ve earned yourself is all but guaranteed to be short and painful with a miserable lonely death. heart<3

[porterdavis]

[teaboot]

How people get nicknames:

Recipient of a third-degree burn in front of witnesses. IE, "I won't take that shit from a man dressed like a ghostbuster"= "Gostbuster" or "Buster"

A distinctive personal feature or quirk. IE, "Have you noticed how that new guy is always eating bell peppers?" = "Peppers", or "That chick has a massive forehead" = "Forehead".

An embarrassing thing you said or did. IE, "Did you seriously call Dale "Dad"?" = "Junior", "Baby boy", "Sport"

A game of name-mutation telephone. IE, "Donny Clyde" = "Bonnie 'n' Clyde" = "Bonnie" = "Bon-bon".

Irony. IE, calling a tall person "short stack" or a particularly dour person "sunshine".

A 'wrong place wrong time' one-off incident. IE, "He spilled oil on his pants and had to borrow a pair that were way too big and Jim saw him with the waistband pulled up to his nipples and called him 'Parachute'"

A batman-style origin story but not in a cool way: "One time she hit a deer with the company car and when she called the boss to tell her she was crying so hard we thought she was dying" = "Bambi"

The incredibly rare 'admiration' nickname, bourne only once a millennia under the light of the blood moon: "We saw him lift a truck once so now we call him 'iron man'"

+ How Nicknames Stick:

Your fate is determined by The Counsel

You hate it

It's accurate

[notsomeoneyouknow]

This reminds me of an article about how callsigns in movies are inaccurate because they're too cool. Generally your callsign in the military is like "Bepis" because you once pronounced "Pepsi" wrong.

[teaboot]

^^^

[twinicegiantorbiters]

scientist girls in their labs, witch girls in their cottages. both are oh so hard at work coming up with new types of beams to shoot at each other

[twinicegiantorbiters]

they are sending their familiars and their lab assistants to fight each other in the forests and in the parking lots

[mmmmbees]

[postcardsfromheapside]

back on my bullshit

[rubyleaf]

Is this anything?

[puppygirllaika]

Could you personally navigate a cross-country road trip, door to door, without your electronics (phone/computer/tablet/etc)?

Yes

No

Voting ended onMay 29

[shayvaalski]

Yes?? Because I know how to get and read a map?? Who is selecting no?

[galadriel1010]

One of the problems I have with marriage in fiction is that it is so often presented as the happy ending, instead of as the start of something new. This is especially true for characters in historical or secondary world canons where the characters couldn't live together openly before marriage. In the modern day, marriage can mean very little in practical terms - especially if you're in a country like Australia where Common Law couples have the same rights as married ones - but for many couples it would represent a significant change in their lives, and one that's honestly super interesting to me. How do a couple who work together adapt to living together as well? How do two people who've been living independently adjust to sharing space? How do a couple in a culture where married women are treated as subservient to their husbands maintain her independence? How do a couple who have married in the face of social judgement and discrimination deal with that both together and individually?

Marriage is so much more interesting as a beginning than as an end.

[fageleh]

hobbies should not take up this much space. there ought to be a hobby pocket dimension, where I am able to store everything I need in a breadbox that weighs no more than my cat.

[theoutcastrogue]

"If you think curiosity without rigor is bad, you should see rigor without curiosity."

xkcd: Good Science

[theperksofbeingahugefuckingcunt]

Okay I’m currently furious that migraines are often so blindly easy to treat and I had to find this out myself at the age of 26 when I’ve been to a neurologist since I was 11 lol so I’m about to teach you two neat and fast little tricks to deal with pain!

The first is the sternocleidomastoid muscle, or the SCM muscle.

This big red section is responsible for pain around the eye, cheekbone, and jaw, as well as some temple pain. Literally all you have to do is angle your head down a little, angle it away from the side that hurts, and then you can gently pinch and rub that muscle. I find it best to start at the bottom and travel upwards. The relief is so immediate! You can increase pressure as you feel comfortable doing so.

Here is a short and easy video showing this in action

The second is a fast and easy stretch that soothes your vagus nerve, which is the nerve responsible for calming you down. The vagus nerve, for those unfamiliar, is stimulated by deep breathing such as yawning, sighing, singing, or taking a deep breath to calm your anger in a tense situation.

You can stretch this out by sitting up as straight as possible (this does not have to be perfect to work) and interlacing your fingers. Put your hands on the back of your head with your thumbs going down the sides of your neck and, while keeping your face forward, look all the way to one side with just your eyes. Hold that until you feel the urge to breathe deeply or yawn, or until you can tell there’s a change. Then do the same thing on the other side. When you put your arms down, you should clearly be able to turn your head farther in both directions. If the first session doesn’t get rid of your migraine, rest and repeat as many times as necessary. I even get a little fancy with it and roll my eyes up and down along the outer edge sometimes to stretch as much as I can.

If you need a visual here’s a good video on it. I know some of the language they use seems questionable but this is real and simple science and should not be discarded because it’s been adopted by the trendy wellness crowd!

I seriously cannot believe I didn’t hear a word of this from any doctor in my life. Additionally, if you get frequent recurring migraines, you may want to see a dietician. Migraines can be caused by foods containing histamines, lectin, etc. and can also be caused by high blood pressure in specific situations such as exercise, stress, and even sex.

If any of this information helps you I’d love to hear it btw! It’s so so fast and easy to do. Good luck!

[mushroomsandteeth]

*currently suffering from a horrible migraine. Tries this*

Are you fucking shitting me it works!?

[titania-saturnine]

@thebibliosphere I don't know if it'll help, but it may be worth looking into.

[thebibliosphere]

This is something my magic physio man also taught me. It helps if your migraines are triggered by muscle tension. Not so much if you have other root causes like OP mentioned above.