profoundly superficial

🍩 art blog hey i'm lisa, and i do nuts sometimes i'm an artist 🍩

[quillpaw]

hey i’m not good at social media management or whatever and i don’t wanna make a whole big post but uh

so my friends and i wrote a book. like a real book that’s published and everything. it comes out june 20th. it’s called the falcon files, it’s a steampunk noir detective story that is fundamentally about hope and found family. it’d mean a lot to me if you guys read it. here’s a link to the goodreads

[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

[copperbadge]

On Saturday I said to my partner, as I have said for months, "A ten thousand dollar a year raise would solve so many of my problems."

As of this morning I was reluctantly looking for jobs because I love my job and don't want to leave it, but see: $10k raise problem solver.

As of noon today this was no longer an issue, because my boss called me with the news that I was getting a $10K merit raise.

I feel like a huge weight has been lifted off my shoulders. This is roughly $200 extra per paycheck. Enough to pay off debt faster, rebuild my savings, and spend a weekend a month in Milwaukee getting obscenely laid. The sex I'm going to have on $200 extra per paycheck. You can't even.

May all of you get the $10K raise your soul has yearned for. And whatever level of sex you can be satisfied with for $200.

[vergess]

hey bestie i think ur post might be charmed 'cause you aren't gonna fuckin believe what happened today

[the-semicolonoscopy]

It’s Pride Month Eve, so leave out some milk for Freddie Mercury and his cats.

[the-semicolonoscopy]

Time for the annual Pride Month reblog of Freddie Mercury and his fabulous cats!

[segamascot]

not feeling very hundred emoji flame emoji today

[palmer]

well I am so 💯🔥💯🔥

[segamascot]

🧯💨

[palmer]

0️⃣🌫0️⃣🌫

[tiktoks-i-enjoyed]

[albva]

[albva]

um. i think that will make an even awkwarder silence

[goatgirlballs]

well if its for fucked up and horny reasons, then i guess its okay...

[aromantic-journal]

"everyone should get more aromantic" can appeal to tumblr's sensibilities but I genuinely think everyone should also get more asexual. I don't mean everyone stop having sex, what I mean is

Sex is not essential. You can live without it. Full stop.

Not having sex isn't shameful or a sign of failure. It also doesn't make anyone boring.

You are not entitled to having sex with anybody and nobody is entitled to having sex with you.

Sex is not what makes someone an adult.

Nobody's worth is defined by how much sex they have or don't have.

Sex is not equally important to everyone.

You can have fulfilling and happy relationships without sex.

You should only have sex on your own terms, not because you feel like you owe it to someone, or because you feel like you'd be incomplete without it.

Know your boundaries around sex and be firm about them. Know how to respect other people's boundaries.

The previous point also applies when it comes to discussing sex. If someone doesn't wanna talk about it or hear about it you have to back down.

Anything can be sexual but not everything has to be sexual.

[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.

[musubiarte]

The other day I was surfing the internet and I found this specialized painting colour wheel, it shows how real paint colours relate to each other. 

Outside: the purest/brightest colours.

Inside: naturally muted or earthy colors, like browns and ochres.

The Center: dark neutral tones used for mixing shadows.

The Lines: the lines connect colors that are opposites, if you mix them you neutralize the tone creating clean grays or browns instead of muddy puddles.

I want to share this with you because I think it is really illustrative!

Reference: “Quiller Wheel” by Stephen Quiller

[professionalchaoticdumbass]

cast iron? yeah thats a pretty common spell to learn

[professionalchaoticdumbass]

you come onto my post and be funnier than me

[weaselle]

skillet issue

[biocrafthero]

perceived skill

[orcagami]

[orcagami]

[generic-internet-name]

talking like point-and-click game narration to the bugs in my room

[generic-internet-name]

you can't get out that way!

[generic-internet-name]

that's not very helpful.

[generic-internet-name]

maybe the open window will help.

[generic-internet-name]

try the open window instead.

[spirulin4]

honestly like in all truth and sincerity

[bituin-describes]

ID: Platters of salmon sashimi and roe. ED