We Are All Just Stardust

Back on my same old shit. This blog is a hot mess, proceed accordingly. A multitude of Fandoms. History. Art. Y’know.

[revlynn-rabosa]

It's always "hail Mary, full of Grace" and never "Eva, the first woman, whose sins cast humanity away from Eden (but humanity found it's place out there)".

Anyway, Eva Stratt, you did everything correctly, you made the wrong choice, humanity is alive because of your determination, the most woman ever. They coul never make me pin your morals down as 'good' or 'bad'.

[depsidase]

[joytri]

thank you to trees and also rain

[reagantheteenagewitch]

[anarchistmemedistro]

The works of the roots of the vines, of the trees, must be destroyed to keep up the price, and this is the saddest, bitterest thing of all. Carloads of oranges dumped on the ground. The people came for miles to take the fruit, but this could not be. How would they buy oranges at twenty cents a dozen if they could drive out and pick them up? And men with hoses squirt kerosene on the oranges, and they are angry at the crime, angry at the people who have come to take the fruit. A million people hungry, needing the fruit- and kerosene sprayed over the golden mountains. And the smell of rot fills the country.

Burn coffee for fuel in the ships. Burn corn to keep warm, it makes a hot fire. Dump potatoes in the rivers and place guards along the banks to keep the hungry people from fishing them out. Slaughter the pigs and bury them, and let the putrescence drip down into the earth.

There is a crime here that goes beyond denunciation. There is a sorrow here that weeping cannot symbolize. There is a failure here that topples all our success. The fertile earth, the straight tree rows, the sturdy trunks, and the ripe fruit. And children dying of pellagra must die because a profit cannot be taken from an orange. And coroners must fill in the certificate- died of malnutrition- because the food must rot, must be forced to rot. The people come with nets to fish for potatoes in the river, and the guards hold them back; they come in rattling cars to get the dumped oranges, but the kerosene is sprayed. And they stand still and watch the potatoes float by, listen to the screaming pigs being killed in a ditch and covered with quick-lime, watch the mountains of oranges slop down to a putrefying ooze; and in the eyes of the people there is the failure; and in the eyes of the hungry there is a growing wrath. In the souls of the people the grapes of wrath are filling and growing heavy, growing heavy for the vintage.

- John Steinbeck, The Grapes of Wrath

link to story

[sztupy]

Landmark German ruling declares Google's AI Overviews are Google's own words and makes it liable for false answers

A German regional court has ruled that Google is directly liable for the content of its AI search overviews. According to the court, previou

[ayeforscotland]

Let’s fucking go

[made-in-manetheren]

This is HUGE.

1. The court holds Google responsible for statements made by its AI, considering them Google's statements (search engines have limited liability for results in their engine as they're the words of other sites/companies/people), meaning when their AI lies/hallucinates they're liable for the defamation/harm resulting from those statements.

2. Google's defense that customers are generally aware of the lack of reliability and are responsible for fact checking was dismissed. As the court pointed out, that would "significantly diminish" AI Search's stated purpose and it can't be distinguished from Google's business practices/statements as a search tool.

3. Studies have found about 91% of Google's everyday AI responses are accurate, leaving millions of searches per HOUR with potential liability for falsehoods. 56% of correct responses weren't supported by the sources the AI listed. Both of which mean Google is now liable for a LOT more AI "errors."

4. Google was held liable for 80% of court costs in this case and this precedent is expected to reverberate around the world. This is a massive shift from the 3rd-party search provider role Google has previously played and it comes right as they've tied ALL searches to their AI search.

TL;DR Google reeeeeally stepped in it this time.

[kokica1]

I'm obsessed with how utterly human Project Hail Mary feels.

Everyone can understand Grace's point of view of wanting to live, begging for his life. Everyone can also understand Stratt's choice to send Grace into space.

When Grace successfully proves that the taumoeba will eat the astrophage, it's not a big, brilliant moment with epic music and intensity. It's quiet. It's painful because Rocky may still be dead. It's a sigh of relief after so never ending tension and exhaustion that feels earned.

Grace is clumsy and awkward. He's silly and uses jokes to cope. He gets emotional and he gets scared. Just like any normal person, he's not a stereotypical hero but, instead, is undeniably human in everything he does and says.

Each victory Grace and Rocky get feels earned. Nothing is forced for the plot, nothing is rushed for convenience. We see them struggle and win through sheer determination and bravery.

It's such a beautiful movie.

The hope you feel while watching it is so thoroughly human. It's not cheap or fabricated. It's real.

[hoovesandfloorpaws]

[thefingerfuckingfemalefury]

<3 Proper way to help these lil buddies on their way <3

[pitviperofdoom]

I try not to fall into the "I never liked their work anyway" ditch when an artist/creator reveals themself to be a terrible person

BUT

a feeling I do have and will stand by is "While I enjoyed their work overall I did have some gripes that I overlooked out of affection and whimsy, but now that my loyalty is gone and my affection tainted there is nothing holding me back from enumerating my many grievances, to which the revelations of the creator's shittiness may or may not provide a new and infuriating context."

[grabmyboner]

everyone start chanting Bloopers! Bloopers! Bloopers! at the same time and maybe jacob tierney will hear us

[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.

[ladylingua]

the new york times has such a great series of elevated butter noodles, if you ever want a super fast easy dinner that still feels grown up and you can emulsify pasta water + butter together basically the sky is your limit

ya got

gochujang butter noodles

peanut butter noodles

chili crisp fettuccine alfredo

miso butter noodles

any one of these + a bag of salad or whatever vegetable side you find easiest/cheapest, and you've got yourself a full meal that tastes far above the effort you put in.

[queer-as-in-fuck-12]

drug addicts deserve housing, food, water, and healthcare btw

[amilkyway]

I think about how hayao miyazaki said that love is two people inspiring each other to live. and to live doesn’t just mean to be alive. living involves finding beauty in the simple moments of being. so to inspire someone to be in awe of the simplicity of living? that’s special

[cloudabserk]

i want to abuse my government expense account to buy grace candy

[bigskycastle]

barn owl

[lilyblisslys]

if I ever tell you “lmk what you think if you read/play/watch it!” I am firmly inviting you to send me a play by play minute by minute cataloguing of your thoughts about The Thing