"Now I've shot so many Nazis, Daddy will have to buy me a sable coat." (From his Wikipedia article).
Neil Munro "Bunny" Roger
June 9, 1911-April 27, 1997.
Bunny Roger killed a bunch of Nazis and then invented Capri pants.
He was expelled from Oxford for his indiscrete gayness (discrete gayness being perfectly fine at Oxford and part of the curriculum until...today probably, at least like 1992?). Then, having been sent down to London, he started his own fashion business, and his first client was Vivien Leigh.
Bunny served in WWII, killing fascists in North Africa and Italy, and often wearing a mauve scarf in the field. Roger claimed that he had gone into a battle brandishing a rolled-up copy of VOGUE and commanding: "When in doubt, powder heavily!"
Roger was known in high society for his themed soirées; Diamond, Amethyst, and Flame Balls were held to celebrate his 60th, 70th, and 80th birthdays. He wore a curious plum colored catsuit with a feathered headdress at his 70th birthday ball in 1981. At his 80th, he made his entrance in a catsuit of scarlet sequins with a cape of orange organza, greeting his guests from behind a wall of fire. His parties were covered by the newspapers, including a New Year's Eve Fetish Ball where the proper upper class mixed with young guests in rubber S/M gear.
From an obituary: "Beneath his mauve mannerisms, Bunny was stalwart, frank, dependable and undeceived; to onlookers a passing peacock, to intimates, a life enhancer and exemplary friend."
“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)
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.
The words and silences we live by. The rituals that sustain us. The poetry of ordinary time.
out of the backyard gang baljeet is one of the worst to make into a coffee table. ferb would also be pretty bad. phineas and isabella would be mid because they have those bigass heads but the skinny bodies. might be worse than baljeet and ferb if you're a person who cares about symmetry. buford would objectively make the best coffee table because his silhouette has the most evenly-spaced surface area. now if you wanna talk about pnf characters in general i think pet mode perry would be the best coffee table out of all of them
The European Union already forced Apple to abandon its proprietary charging port and adopt USB-C across its entire iPhone lineup. It just did something bigger. A new EU mandate requires every smartphone sold in Europe including Apple devices to feature a battery that can be replaced by the user without specialist tools, without voiding a warranty, and without sending the device to a manufacturer approved service center. Batteries must maintain a minimum capacity threshold after a set number of charge cycles and replacement parts must remain available for up to ten years after a model goes on sale.
The consumer electronics industry built its current business model around batteries that degrade, cannot be replaced at home, and create a natural upgrade cycle every two to three years. The EU just legislated that model out of existence in the world's largest regulatory market.
Apple, Samsung, and every other manufacturer now faces a choice between redesigning their devices for the European market or accepting that their current hardware architecture is no longer legally sellable there.
Given that no company walks away from European consumers voluntarily the phones are going to change and once they change for Europe the rest of the world will ask why theirs still do not.
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.
ok so, I approached my local library with a proposal to donate a mural as a way to A: build portfolio/gain practical experience and B: give back to a beloved public institution. The director was very enthusiastic about it and i've been working on it since the beginning of March. Come with me as I endeavor to paint what is in all honesty an excessive amount of birds
I wanted the birds to look like they were actually in the space so first thing after doing the draft was to do a lighting study
after that I covered the walls in letters in lieu of a projector/vr headset bc i have neither of those :) Then i take a picture of the section of wall and superimpose the lineart over top of it so I can pencil in the lines
et voila
and that was a whole week on it's own so next comes the paintin' >:)
If you notice there's less lightning bugs around then there was when you were young, you aren't going crazy. Lightning bugs/fireflies are becoming endangered!
Above is a video from one of my favorite youtubers, Ze Frank, that goes into more detail.
Lightning bug conservation is not being funded, so the Xerces Society for Invertebrate Conservation requires donations to further their research. The aim is to establish lighting bug sanctuaries and begin habitat restoration efforts.
Studying these little guys has done so much for us in many different fields including medicine! It's important that lightning bugs are protected so future generations can experience that magical feeling of sitting in a field surrounded by little lights.
Fireflies are cherished, but they are also declining. Based on assessments published on the International Union for Conservation of Nature’s
Summertime is approaching, prime lightning bug season. Bringing this post back because there's still work to be done! The Xerces Society does more then just protect lightning bugs, but butterflies and bees too!
They also have a free PDF guide on how to make your yard/property/garden as firefly safe as possible!
Fireflies are some of our most celebrated insects. They have immense cultural, biological, and economic importance and are important compone
Finally, an open hardware printer you can actually understand, repair, and upgrade
Open Printer is an open-source, repairable inkjet printer designed for makers, artists, and anyone tired of throwaway hardware. Built with standard mechanical components and modular parts, it’s easy to assemble, modify, and repair. You can print on standard sheets or paper rolls and choose between black or color cartridges, refillable at your convenience.
This project aims to reclaim our everyday tools. As such, it features no proprietary drivers, no cartridge DRM that locks you to a single vendor and is designed to never become obsolete. The Open Printer is built for longevity and customizability, ensuring that it remains fully under your control.
