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The Illuminated Windows of NYC. Dave Krugman took photos of hundreds of NYC apartment windows at night and stitched them together into ever-shifting typologies. What’s going on in each of those apartments?
I’ve probably featured this before but always worth a re-up: “A Books Unbanned library card gives teens across the United States free digital access to ebooks and digital resources, including banned and challenged books — no matter where they live.”
The FBI cut the phone lines during the 1977 disability rights sit-in. Then they turned off the hot water.
They locked the doors from the outside. One hundred and fifty people were trapped on the fourth floor. Half of them used wheelchairs. The government assumed they would leave.
Kitty Cone was thirty-three. She had muscular dystrophy. Her muscles were failing, but her logistics were flawless. She knew how to organize people.
The federal government had promised to sign regulations protecting disabled Americans from discrimination. The policy was known as Section 504. They printed the promise on paper. Then they stalled. Without a signature, it was just typography.
The protesters entered the regional Health, Education, and Welfare building in San Francisco on a Tuesday morning. They took the elevators to the director's office. They brought sleeping bags and catheters. They informed the staff they were not leaving until the law was signed.
By sunset, the police surrounded the exits. Kitty sat near the windows. She organized the floor plan. She assigned committees for security and sanitation. She kept her medication in a small cooler.
According to federal memorandums released decades later, the strategy to end the occupation relied on medical attrition. The building was not equipped for long-term habitation. The FBI calculated that a population requiring ventilators, specialized diets, and daily medical aides would voluntarily evacuate if the environment became sufficiently hostile. They instituted a blockade.
The blockade went into effect immediately. No food deliveries allowed. No medical supplies permitted through the lobby. Guards stood at the main doors checking identification.
Kitty's muscles deteriorated faster under the physical strain. She couldn't walk. When the phone lines went dead, the fourth floor lost contact with the press. The government waited for the quiet.
Kitty dropped to the floor. She realized the barricades were designed for standing adults. The police had blocked the hallways at waist height. They hadn't blocked the linoleum.
The floors were covered in cigarette ash and spilled coffee. She dragged her body through it. She crawled under the barricades to reach the restricted elevator shafts and unguarded offices.
She carried notes in her pockets. She found a single working payphone the FBI missed. She called the local news desks. She called the mayor's office.
She crawled back. When her arms failed, someone pulled her by her ankles. The Black Panthers heard the news reports. They crossed the police lines with hot meals. The FBI could not stop them without a riot.
They shut off the elevators, so she crawled.
The occupation lasted twenty-five days. It remains the longest non-violent occupation of a federal building in American history. On April 28, the Secretary of HEW signed the regulations without a single alteration.
The protesters left the building the next morning. They went back to their apartments. The Rehabilitation Act regulations laid the groundwork for every accessibility law that followed. The HEW building still stands on United Nations Plaza. The elevators run on a schedule. The doors are heavy glass.
Kitty Cone: the woman who crawled under the barricades.
there’s a lot of stuff going on in the world right now and I know we as a species has lost the plot a bit but I didn’t expect part of that would include, like, getting a second moon
my favorite thing about this so far is telling people and their responses consistently being something along the lines of “the moon? like the moon in the fucking sky?”
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The first ship that arrived was pretty matter of fact about its fate. The pilot introduced himself as Eric, then told us he was part of the first sublight resupply attempt in modern history. He then gave me and the ground control team his bad news.
“So,” he said. “Without real time telemetry, we weren’t even sure which half of your orbit you’d be in. That’s half a solar system’s worth of wiggle room. Decelerating enough to survive contact with your low orbit would take me two weeks, which, you know, it looks like we don’t have. That means that in order to get the second ship in before you lose orbital control to the Kresh, I’m gonna have to make a sacrificial flyby. Ten to the negative four torr is good enough for a lot of things, but at point-seven c it’s gonna be like sandblasting a soup cracker. Good news is that all the expensive toys are in the next ship, so this really ain’t costing you more than a ship and a pilot.”
“You knew,” I said. If they put the expensive toys in the second ship, they knew that the first was likely a sacrifice. No one smart enough to handle orbital physics would miss that.
“I did,” he replied. “But someone had to go first.”
That was, of course, a lie. No one had to go first. No else had had, at least. When our connection to the FTL network was lost, we’d understood that as the end of our reinforcements. Doing resupplies via sublight was just too risky. It was a testament to Earth that it had accepted the risk and continued anyway.
“Is there anything we can do for you?” I asked. This man had come here to die for us. I wasn’t sure how much I could give, but what I had was his.
“I do have a few requests,” he said. “First up, I need as much high-orbital data as you got. The whole lot.”
I began directing tightbeam resources to him immediately. It was an easy resource to exchange - it wasn’t like there was anyone else out to talk to anymore. When we lost FTL, we found ourselves very, very alone.
“Second,” he said. “Right, I know I’m gonna sound like a princess right now, but I have been stuck in this stupid tin-can for almost two-years now, and I seriously overestimated how much I like synth music. If you have anything that’s analog - I don’t care what kind of string or drum or brass you play, but I’d kill to hear something without a beep in it.”
I jumped my own queue in the tightbeam, and added a short playlist that I ripped from the local web. Human Music, it was labeled. 3 Terabytes. I prayed there was something on it that he’d like.
“And third,” he said. “Third. The uh, next pilot is pretty mad at me. Turns out this will just be one of those things left unfinished. That’s all death really is, I guess - a lot of unfinished things. Let him know that he was right: He is a better pilot than me. But tell him that wouldn’t have made a difference here. Bad luck beats skill, and this luck was shit.”
I promised, and he went silent after that. We could see what data he was analyzing, and the short answer was all of it - everything from atmospheric density to troop positions and his own ship’s blueprints. He knew he had one shot at this, and that if the price wasn’t paid here, it would be paid by whoever came next.
--- --- --- --- ---
Ground control didn’t get a verbal warning that he’d entered atmosphere. Just a ping. A little here-I-am, whispered in the dark.
After that, we could keep track with visuals alone.
He hit the outskirts of the exoatmosphere in his first pass, burning bright enough to be seen with the naked eye. He caught the sparse particles like a kite, trying to shed enough speed to hit actual low orbit. Automatic telemetry updates gave us the grim news for the ship: Thermals were holding up decently, but the ablative was wearing out fast.
The entire descent brought us more than two hour’s reprieve. The Kresh hadn’t expected to see a resupply, but they knew what one meant: Get it now, get it fast, or deal with a stream of new troops. They could buy themselves ten days' time by shooting this one ship down now.
That was an eternity during a siege.
The first loop lowered the speed by about a twentieth of light. The pilot responded by pulling the ship in tighter, trying to preserve more ablative plating by trading off with thermal. Seven fighters were close enough to fire off heat seekers. I don’t think the Kresh had ever anticipated shooting down a craft coming in that hot - the missile's decoy avoidance countermeasure actually made it steer around the thing, chasing down loose pieces of shrapnel. Cooled fragments, still hotter than an engine should be at full blast. The simple mistakes bought it enough time to enter pre-orbit, and the fighters had to stop their pursuit. They weren’t willing to die to stop the ship.
Our man, on the other hand, was already committed to that course.
A third loop followed a fourth. Ablative coating went from 65% integrity, to 30%, to 5%. Telemetry scans were exceptionally detailed - the pilot was making the flyby count. The last message we got from him was simple:
Are you EMP shielded? he asked, not even bothering to encrypt the text stream. He didn’t have time to process more than that.
Yes, we replied. We knew what he was thinking, but it was still a shock to see it. The fusion torch that was driving his ship flared hot, burning through the nozzle and feeding directly into the craft’s deuterium supply. The reaction went super critical, and the resulting neutron pulse set off everything in the ship with a z-count higher than iron. Three continuous seconds of EM interference screamed through the comms as the hulk burned brighter than the sun.
The explosion itself wasn’t powerful enough to reach the Kresh ships still in high orbit, but it made enough broadband radiation to blind both sides LADAR. The man must have been a hell of a pilot - half the shrapnel went down and burned up as it entered the standard atmosphere, sacrificed to move the other half past lagrange. Standard evasion would’ve made the pieces easy to dodge, but with LADAR down, all the Kresh could do was sit still and cower as the wrath of a dead man riddled them full of holes. Our best ace had managed to shoot down seven ships before this before getting shot down himself. The wreckage of the freighter took down six.
--- --- --- --- ---
The second ship came in stealth. One second, we were holding attrition in high orbit, the next, something the size of a small station came ripping through the atmosphere.
It did the same trick as the former - swapping between ablative and thermal loads, coming down at a speed that the Kresh fighters didn’t even try to match. Armies could be built in years, but skills like this took decades.
Telemetry connection was established almost as an afterthought. The way the ship casually ate through ablative armoring made my eyes water, but the pilot himself seemed pretty non-plussed.
“You’re down to fifteen percent coverage. You need-
“What I need,” he said, “is to see the previous ship’s telemetry as soon as I land. And I don't need your help landing it.”
He cut off my chance to reply by flicking the channel off. We watched, and we wrang our hands, but sure enough he came in six minutes later with 4% of the ablative left.
I met him on the landing pad. Under normal circumstances, we’d have needed twenty-four hours for the craft to cool enough to even approach, but we’d had cryo ready just in case. Three tankers of nitrogen, and the loading area, at least, was cool enough to touch. Safety would have to take a backseat to speed here - we needed the supplies fast.
But those both would take a backseat to a promised conversation with the second pilot. He was out of the craft as soon as the air was cool enough to avoid scalding his lungs, picking through the workers to try and find who had the telemetry data.
I found him first. The drive went into his hands, but I needed to keep my promise with Eric before letting go.
“You’re better than the first pilot,” I said, and I wasn’t lying. If the previous flier had been a saint, this one was a god. “But you wouldn’t have been able to manage the landing either. There just wasn’t time.”
“Let me see,” he said, tugging on the drive. “Just let me see. I have to know I couldn’t do it either. I have to know that someone had to die.”
I let go of the drive and he stalked back into his ship. I didn’t follow. I figured I’d pushed things far enough.
--- --- --- --- ---
The second pilot left the ship six hours later. He looked bleary in a way that put me at ease. I’d been up the last six hours directing supplies from the ship. Everything from ground-to-orbit rails to AGI targeting systems was inside - to call it gamechanging would be an understatement. It was good work, but I was tired, and I didn’t want to have to pretend otherwise. Seeing the other man with bags under his eyes meant we could just be frank with each other.
“I couldn’t have managed it,” he said, half-ashamed, half-relieved.
“It just wasn’t possible,” I agreed.
We sat there a moment longer. I didn’t mind the break. This was time well spent.
“Did it hurt?” he asked finally.
“Ablative failed before heating,” I said, which was the technical way of saying no. “He overloaded the reactor before the ship actually broke up and did some kind of slingshot maneuver - hit the main body of the Kresh fleet with half a space station’s worth of shrapnel.”
“Good,” he said.
I knew the signs. The tremor in his cheek, the way his jaw clenched - it wasn’t professional, but I hugged him anyway. Let him have the dignity of choosing to weep instead of having it wrenched out of him.
It was a gift we’d all been given at some point in this war. At least now, there was the hope it could be over soon.
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.
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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im just so happy i live in a time period where actual meaningful biological transition is possible. even if we lose rights or the ability to exist in public, nothing can turn back the clock on that, and just by having any sort of access to that our lives are made immensely better. millions of our sisters throughout history would never have dreamed of a day where they could have what HRT does for us.
please don't lose the plot of this. if you're a trans person on HRT you're a living miracle, the dream of hundreds of millions of your ancestors. your lives are all deeply meaningful no matter what anyone says.
Cursed be the one who announced to my father:
“It’s a boy!"...
...How could he twist the course of the stars so much?
How could he have erred so in his astrology?
A lying tongue, a fool’s mouth it had given him
For he foolishly transformed justice to poison
He altered the law and transposed the lines
Oh, but had the artisan who made me created me instead – a worthy woman...
...I would say "how lucky am I"
Father in heaven
who did miracles for our ancestors with fire and water...
...Who would then transform me from a man to woman?
Were I only to have merited this being so graced by goodness...
What shall I say?
why cry or be bitter?
If my father in heaven has decreed upon me
and has maimed me with an immutable deformity
then I do not wish to remove it.
the sorrow of the impossible is a human pain that nothing will cure
and for which no comfort can be found.
So, I will bear and suffer until I die and wither in the ground.
Since I have learned from our tradition
that we bless both, the good and the bitter
I will bless in a voice hushed and weak:
blessed are you [HaShem] who has not made me a woman.
I reblogged this yesterday, but I want to reblog it again. Diabetic ketoacidosis turns your blood acidic and will essentially burn you from the inside out.
The stories you hear of people dying from rationing, this is what happens to their body.
Affordable insulin isn’t just a right, it’s a necessity.
No one should have to die like that when it’s preventable with access to proper medication.
"Affordable" should be the lowest fucking bar. Pharmaceutical companies should be tripping over themselves to offer insulin at "affordable". That shit deserves to be fucking free
you know what? I want dragons with ontogenetic niche partitioning.
niche partioning is a concept from ecology wherein groups within a species expand into different ecological niches so they're not competing with one another, right? so for example, sexual niche partitioning happens when sexual dimorphism means that one sex eats different things / occupies different spaces / etc. as another within the same species. you have one species that occupies multiple niches within the ecosystem.
ontogenetic niche partitioning is when this happens as a result of developmental changes. paternal care tends to obliterate this partitioning--hard to have your juveniles eating something different from your adults if the adults are feeding them!--so we just don't see it very often in mammals or birds, but it's quite common in other species, especially invertebrates. for example, a caterpillar and a butterfly are examples of classic niche partitioning, even though every butterfly will occupy both niches over the course of its life. you don't have to have a big fancy chrysalis transformation to engage in ontogenetic niche partitioning, but those transformations are a pretty big sign that it's happening in a given species.
anyway, it's most common in vertebrates among fish, lizards and snakes these days, especially monitor lizards, where juveniles will occupy a different (often arboreal or otherwise sheltered) niche from adults and hunt different prey until they get big enough that the juvenile niche. there are some good reasons to think that some dinosaurs might have engaged in ontogenetic niche partitioning, especially the bigger species, too. we think sea turtles might do it, although that's hard to say because we don't know very much about sea turtle development once the hatchlings go back to the sea.
the neat thing about ontogenetic niche partitioning is that it allows a given ecology to host a much larger population size for a given species than would otherwise be the case, because the total space occupied by that species is spread across a lot wider niche space. this is especially relevant for, say, a large carnivore that eats livestock.
basically, what if dragons are just the very oldest, reproductively mature members of their species, and the common wall lizard or whatever is just a juvenile that might or might not survive long enough to reproduce? imagine if dragon eggs are very small with big clutches of little insectivorous hatchlings that are eaten by anything that comes by, any of which might have the potential to become a great fire-breathing monster if it lives long enough.
imagine that dragon society. do people know that the hatchlings and the dragons are the same species? (they might not: there are real examples of people mistaking ontogenetically niche separated groups for independent species in their own right.) if dragons are sapient but the sapience takes time to develop, what does that say about the nature of sapience itself? how does a society work and transfer wealth if you remove parental care?
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Sometimes you send something you found online to a friend because you want to brighten their day, and sometimes you send something you found online to a friend with the precise attitude and bearing of a cat very carefully lining up their paw with the back of another cat's head.
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