Soup time.

(They/She) | I'm 25+ | I tend to reblog a lot of fandom-y stuff (like whatever video games I'm into at the moment). I also draw sometimes... My art blog is @zupart if you wanna check it out!

[orteil42]

given the current climate this pride especially i feel i must mention that i love my trans friends, i stand with trans people in the fight against transphobic legislation and those who would enforce it, and this blog is not a good place for you to be if you do not vibe with that

[dateamonster]

you could never make me hate magitech/scifantasy settings. fantasy and scifi are two beuatiful women to me and they are kissing with tongue.

[gregtom]

[k-simplex-deactivated20241001]

Happy Pride

[lezbianz]

being a humanities major who’s friends with stem majors is so funny because you’ll ask your friends what they’re doing today and they’re like “UGH it’s so stressful i have to stabilize the reactor core for my nuclear power midterm and then i have to build the supercomputer from i have no mouth yet i must scream for my electrical engineering homework :/ what about you” and you’re like “oh well i have to read a fun little book and write an essay about gender.” and they still think you have it worse

[freakinflipflop]

Being a stem major who's friends with humanities majors is ALSO funny bc you ask what's goin on with them and they're like "oh yeah my day's pretty good! I only have to read 50 pages for this one class today and half a book for another one. It's much better than last week where I read three books and wrote a 10 page paper about their overlapping motifs for one class while also researching a niche period of time that our library doesn't have any resources on. How's it been for you?" and you're like "oh I have a lil packet of fun math puzzles due tomorrow." and they look at you like you're carrying the weight of the universe on your back

[tesria]

This is your reminder that just because something falls within the skillset you've practiced, so you can do it and you don't find it particularly hard or stressful relative to other things, it doesn't mean it isn't actually hard work you should be proud of yourself for accomplishing!

[3amfanfiction]

this applies to writing and art, too

[makesomenoise]

🌈

[dt75artblog]

Full reference for Doris Poole, the bachelorette slug :)!

[squeakadeeks]

grown ass men wagging their tails

[heilos]

A tribute piece of crossover fanart for Knights of the Light Table's work on what's now two of my favorite music videos of all time: Starlight Brigade and Neon Odyssey. I was so moved and inspired by their latest animation, and the pure artistry and passion that went into it, that I had to draw something to celebrate both with a shared theme of space. Thought it be cool to team up Strive and Pyke in one image. They're my big favs and I really wanted to do them justice while pushing myself on the background to hopefully capture that wonder and awe of space. :) Starlight Brigade Neon Odyssey

[sonicwind149]

It should be noted that a crossover between these two will actually be a reality if Neon Odyssey's Kickstarter hits $15 million, which will fund a Starlight Brigade extension adventure. No joke-- the Avantris crew just announced it in a livestream on Saturday.

So yeah, Heilos here unknowingly manifested it. Y'all know what to do next.

[heilos]

THIS IS REAL AND VERY TRUE LOOK:

YA'LL, IF YOU'VE EVER LOVED THIS MUSIC VIDEO AND THESE CHARACTERS WHILE WANTING MORE OF THEM IN SOME CAPACITY, THEN PLEASE SPREAD THE WORD AND/OR DONATE! They have to hit the 15 million goal by the final day minimum to get this mini campaign made with the Starlight Brigade cast included in the Neon Odyssey setting D&D books! It's not that far off either considering how much they've blown through previous stretch goals too!

KICKSTARTER CAMPAIGN HERE

[kuromi-hoemie]

me when i see an animal that is known for being in my area

[asksloyxp]

Maybe if I just work harder, this empty cup will pour again

[samcormac]

what’s the rush?

[rainwasheseverythingaway]

The time will pass anyway

[megacarapa]

ok so this is another long shot but a few years ago there was a twitter post (in japanese i think?) that had measurememts for how to make this book stand thing out of cardboard that you could use to double up books and use up more space on shelves

back then i made a bunch of these but by now i lost the pic and dont know how to find the original post anymore

if it comes down to it i can just take one apart and get the measurements from there but i would be very grateful if anyone happens to have the original post or something similar??

[megacarapa]

don't mind how long it's been since i made this post, anyway i realized that i don't even need to take one apart to get the measurements when i can literally just unfold it and refold it /FACEPALM

so anyway here is the diagram for anyone else who is interested!!

this requires pretty big carboard pieces, if you have a really big box or something you can make it from one piece, but if you don't, you can also just make each of the pieces individually and then tape them together

and then in the end you put it together like this!!

and then when you make a bunch you can put them all next to each other and stack your books like crazy

EVERYONE START GETTING MORE USE OUT OF YOUR SPACE NOW!!!!

[chrliekclly]

confuse spell

[tsulasgi]

More pieces from the Vinita Cultural Center from last year's basketry exhibit

[tsulasgi]

#the museum i worked at had a collection of these baskets!!!#they are like #idk its hard to describe them #they dont look quite like regular baskets they look like so beautiful #anyways check out the Mountain Heritage Center's exhibit on cherokee/rivercane baskets to learn more

Yes, for some reason I don't think they had any Rivercane baskets at this exhibit, the Vinita cultural center is a bit small so maybe that had to do with it? But traditionally Rivercane baskets look like this:

(credit to Lizzie "Nannie" Youngblood and Rowana Bradley, artist unknown for the Chief's Heart shoppers basket)

The basket pictured in the post is likely commercial round reed (with some flat reed), the commercial form of the materials we would use such as Honeysuckle, Buckbrush, or Trumpet Vine. Many Western Cherokee picked up round reed basketry due to lack of supply of Rivercane after the forced removal to Oklahoma.

[tsulasgi]

I'm not exactly sure what you're referring to in regards to this post but I am a tribal member who is posting this and these were taken at our own museum within our own territory in Oklahoma. This information provided is provided by our knowledge keepers and elders.

I am one of these people you talk about being alive, sharing my culture 🙂

[lanthir]

I strongly dislike how "some museums have unethical practices, and repatriation of stolen goods should be a high priority when applicable" has morphed into "all museums are evil, and museums are an unethical and untrustworthy source of information by nature."

[squeakadeeks]

category 5 brunch event

[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.

[irispurpurea]

This is the paper. It's excellent, highly recommend reading it.

I remember reading about Gebru's firing but I had no idea this was the paper she was fired over.

[sky-blue-memories]

Ooo for the OC doodle prompt what about Lewis in:

❄ OC in what they’d wear on a very cold day

bundle up!