At 1 PM on a Friday I get an email from my boss. I'm busy as hell so I don't check it immediately. Then I get a phone call from my boss, which has almost never happened before. I'm a white collar worker, a historian. There's never a 'historical emergency' requiring a phone call to kick me in the ass and get to work.
The request is so urgent my boss needs it by the end of the work week. Which, y'know, is 5 PM on a Friday. So I have four hours to do it.
It's a forwarded request. Somebody contacted a member of the donation team asking for help, "I need a map from the Vietnam War to use for a presentation." It's somebody she's trying to coax into giving a five figure donation to the museum.
The request was asked to the donation team member, who then emailed my boss, who then emailed and called me urgently.
This map required:
North and South Vietnam in it
All four areas that South Vietnam was divided into for military purposes ('Corps') clearly delineated
Four cities, all of them horrifically misspelled, and only identifiable because I know what battle the requester is asking about (it’s in III Corps on the border with Cambodia) (the requester danced around the battle but I’m knowledgeable enough to identify it)
Has Laos and Cambodia in it
Has the Ho Chi Minh Trail in it
So. I was mad about the 'you have literally four hours to find a map with a lot of requirements.'
I was then mad at myself about finding a copyright free map from Texas Tech University within half an hour, proving her right for asking me to do it.
Then, after I found a map that perfectly met the requirements, I was equally amazed, baffled, and horrified when I read further into the forwarded email chain.
The donation team team member they were speaking to used AI to generate a map.
The above put half of North Vietnam in South Vietnam, made the Ho Chi Minh Trail a country, made 60% of Cambodia part of South Vietnam, put the DMZ extremely high up in North Vietnam, completely disconnected the southern tip of Vietnam, misplaced all of the Corps zones, etc etc
At the very last second the donation team member had a moment of divine clarity, remembering there's three historians on payroll to ask for this kind of thing from. So she contacted my boss while saying, "I had fun with this, but I decided I should check for accuracy before I send it to the donor! I need a fact check by the end of the day, then I send it"
My boss, while not the most knowledgeable on the Vietnam War, does know her geography. She took one look, and knew it was so off she called me to tell me how urgent it is that I look at the email and respond
good fucking god, jesus tap dancing goddamn christ, I'm glad I was asked to look at it and then find a real map
My fear has never been that AI would replace human intelligence. My fear has been that the people who Know Things and the people who Make The Decisions are almost never the same people.
We’re throwing real intelligence out on the street to starve while worshipping the shambling Frankenstein-ed corpse of knowledge puppeteered by those who see us as disposable assets.
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So uh, I finished my submission for TennoCon 2026 Community Showcase o7 Hope you like it
***
Not gonna lie, this was one of the biggest works for me as of late if not ever. The very first draft was made right after the reveal of the "unannounced update". And animation was so good it got me so hyped for it even despite me being deeply drowning in depression.
💬 0 🔁 17 ❤️ 93 · Wanted to make this a tennocon submission but it's more than I can do with my skills so uh
Enjoy this thumbnail
And u
I was really fond of the whole idea, tho it definitely intimidated me as hell, piece being rather huge for my usual way of work. I was heavily demotivated and mostly just exhausted by everything so I given up before even actually trying.
It took me a lot of courage and ofc even more strength to power through my own self-hate, in-family issues and ofc, weekly shellings of my city to even just try doing anything.
Last stretch was definitely the hardest of them all, with how all the bullshit possible decided to fall on my shoulders before I could finish. And yet, with some encouragement from others and just, yk, power of will I did finally manage to finish it. For which I am forever grateful.
And I managed to record a timelapse that thankfully didn't reveal all those hours upon hours of idling I went through to just do *anything*.
being a kid and hearing adults say stuff like "woah 2011 was 4 years ago haha" didn't really convey the fucking horror of a youtube video crossing my recommended labelled "9 years ago" and it's from 2017. that's not true. 9 years ago is 2010 or something. don't lie.
I lived and worked in a lighthouse at a previous job. There was a thick line painted in a circle around the shack where the fog signal was kept. The line represented how close you could get to the fog signal without experiencing physical harm in the form of eardrums shattering or worse.
Even in the house it was LOUD. Probably the loudest thing I have ever experienced but at a normal, predictable interval. You would begin to time your sentences with little pauses with the rest of the lighthouse crew so you would talk like this while making your………..HORN…………. tea and then carry on talking because you knew when it would go off. It rattled the walls and the dishes in our cabinet.
At least one girl had died there. They kept photos of her everywhere “in honor of her sacrifice” because she had decided to take the winter watch alone and died in a storm where bounders the size of mini vans had been lifted out of the ocean and left scattered across the island, to say nothing of the ice chunks. People weren’t allowed to be alone on the watch after that.
One day a dead moose washed up on shore and it took my entire crew all day but we managed to rig up a line to hang it up to dry because we thought having a moose skeleton in the house would really spice the living room up a bit. It did. Weird shit happens when six of you are left alone, like ALONE ALONE, no cell reception, no wifi, just a radio to contact the real world and not a lot of reason to do that. People don’t go on lighthouse jobs if they want to stay connected, I’ve found.
That said Id do it all again, I really do treasure those days
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I think it should be noted that Blanche’s quote about AIDS is also “It is not god punishing people for their sins” and that the episode also deals with slutshaming.
I don’t know if people realize how much activism these women did for gay right and during the aids crisis. If you think about it they were all long established in Hollywood and Broadway. They had tons of friends personally affected and dealing with the aids crisis. Estelle Getty lost a nephew. I think they helped plant seeds in people who watched Golden Girls that helped make things a little more normalized and mainstream.
The Operator, watching Drifter head back to 1999 to do that one year all over again, bouncing around the walls of a single brick room in a run down mall except for planned offensives down the same cobbled streets, 1999 after 1999, holding back the Indifference as friendships deepen and civilians hope but nothing else can change for the better when the year ends in nineteen Radiation Wars... "I don't know how you do it."
The Drifter, watching the Operator head back to their Orbiter for another day of invasions, excursions, cracking relics, the day's sortie, the week's Archon Hunt, where the faces of the dead change but not the killing just the way they die, and maybe it's not technically a Spiral filled with the same thing as yesterday, different decrees and a different Warframe, but if there is upward progress then it's too incremental to see in this slow crawl of an entire civilization out of decay... "I don't know how you do it."
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.
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Good news, everyone! I'm excited to announce that I will be doing another round of Warframe pride (after a 2 year break, oops!).
To truly re-enact my previous circumstances (because that's how the magic of art works for me) I need you- yes, YOU- to give me a list of Warframes. I'm talking to Limbo, I'm talking Uriel- any and all of them, I mind not! I might even draw them kissing. You never know.
I'll handle the gay stuff for personal, gay reasons.
Also:
This year, I'm making a public list, so if any other artists wish to participate, they can!
I dunno if that makes sense (I'm running on 4 hrs of sleep), but yee :3
If all goes well, the list should be out by the end of the week :D
Also, at long last, a Pink Umbra progress update!
I still have to go back and redo some areas, but he's getting there :')
She got the idea for the study while walking with her advisor at Stanford to discuss her thesis topic, and the paper she eventually published in the Journal of Experimental Psychology in 2014 is sharp enough that it should have ended the seated meeting on the day it came out.
She ran 4 experiments on 176 people. Same person tested twice. Once sitting, once walking. The creativity tasks were the standard ones psychologists have used for decades to measure how good a brain is at generating novel useful ideas.
81% of participants in the first experiment produced more creative ideas while walking than while sitting. In the second experiment, 88%. In the third, 100%. Every single person walked into a more creative version of themselves. On average, people generated 60% more novel useful ideas the moment their legs started moving.
The skeptical question is the obvious one. Maybe it was the fresh air. Maybe it was the scenery passing by. Maybe it was the change of environment doing the work, not the walking itself.
Oppezzo killed every one of those explanations with one experimental decision. She put people on a treadmill facing a blank wall. No scenery. No fresh air. No environmental change. Just legs moving in place while staring at white drywall. The 60% boost held.
Then she ran the experiment that closed the case completely. She took participants outside in two conditions. Half of them walked through a Stanford courtyard. The other half were pushed through the exact same courtyard in a wheelchair. Same outdoor stimulation. Same scenery passing at the same speed. The only difference was whether the legs were moving.
The walkers produced dramatically more novel high-quality ideas than the wheelchair group. The outdoors did almost nothing on its own. The walking did everything.
She also tested the opposite kind of thinking. Convergent thinking. The kind where there is one right answer and you have to narrow down to it. Word puzzles where 3 words share a hidden fourth word that connects them. The seated participants did slightly better on these. Walkers got slightly worse.
Walking is not a general intelligence enhancer. It does one specific thing. It opens up the divergent search inside your brain. The part that generates options. The part that produces unexpected connections. The part that takes a problem and finds five ways into it instead of one.
When you need to converge on the single right answer, sit down. When you need to find the answer in the first place, get up.
The mechanism is now well understood. Walking selectively activates what neuroscientists call the default mode network, the system inside your brain that runs when you are not consciously focused on anything. The DMN is where mind-wandering happens. Where memories cross-reference each other. Where ideas that have been sitting in separate folders inside your head finally bump into each other.
When you sit at a desk and force yourself to concentrate, you suppress the DMN. When you walk at a natural pace, the executive part of your brain gets just busy enough handling the walking that the DMN comes online and starts doing the work that focus was blocking.
The most useful finding in the entire paper is the one almost nobody quotes. The boost did not turn off the moment people stopped walking. Participants who walked first and then sat back down stayed elevated. Their next round of seated creativity work was still significantly better than people who had been sitting the whole time. The rest lingered for at least several minutes after the legs stopped moving.
You do not need to do creative work while walking. You need to walk before the creative work. The brain holds the state.
good art is when something looks like real life, the more real it looks the more better the art. abstracted figures give my trad children nightmares, one time they were exposed to cubism and couldn't go outside for a week
Huh fascinating, I wonder what the fash have against Eric Carle? I wonder what he might have said about his life, and influences, and early experiences that makes them say he’s part of an ‘insalubrious culture’?
Franz Marc (1880-1916) was a German painter and printmaker, one of the key figures of the German Expressionist movement.
"But i'm-" there is no identity or state of being that makes you immune to hurting someone. You can be convinced that you are in the right for doing so. You can be convinced that you're defending someone by doing so. You have always got to examine if you're taking pleasure in hurting someone or if you're actually doing something good.
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