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I'm barely aware of the reboot(?) Happening but everybody's talking about atla again and you know what. Toph might be the 12 year old girl character of all time. She loves dirt and throwing rocks at people. She's sick of condescending patronizing bullshit controlling her (this is a sign of a good disabled character also). She's three ounces of whoop ass. She's probably a lesbian. Like this was huge for the 12 year old girl community
Not only does she love throwing rocks at people, she is quite possibly the greatest of all time at throwing rocks at people. World champion rock thrower. She regularly beats the shit out of grown ass men, specifically because they think she can't. She's everything
When I was in vet school I went to this one lecture that I will never forget. Various clubs would have different guest lecturers come in to talk about relevant topics and since I was in the Wildlife Disease Association club I naturally attended all the wildlife and conservation discussions. Well on this particular occasion, the speakers started off telling us they had been working on a project involving the conservation of lemurs in Madagascar. Lemurs exist only in Madagascar, and they are in real trouble; they’re considered the most endangered group of mammals on Earth. This team of veterinarians was initially assembled to address threats to lemur health and work on conservation solutions to try and save as many lemur species from extinction as possible. As they explored the most present dangers to lemurs they found that although habitat loss was the primary problem for these vulnerable animals, predation by humans was a significant cause of losses as well. The vets realized it was crucial for the hunting of lemurs by native people to stop, but of course this is not so simple a problem.
The local Malagasy people are dealing with extreme poverty and food insecurity, with nearly half of children under five years old suffering from chronic malnutrition. The local people have always subsisted on hunting wildlife for food, and as Madagascar’s wildlife population declines, the people who rely on so-called bushmeat to survive are struggling more and more. People are literally starving.
Our conservation team thought about this a lot. They had initially intended to focus efforts on education but came to understand that this is not an issue arising from a lack of knowledge. For these people it is a question of survival. It doesn’t matter how many times a foreigner tells you not to eat an animal you’ve hunted your entire life, if your child is starving you are going to do everything in your power to keep your family alive.
So the vets changed course. Rather than focus efforts on simply teaching people about lemurs, they decided to try and use veterinary medicine to reduce the underlying issue of food insecurity. They supposed that if a reliable protein source could be introduced for the people who needed it, the dependence on meat from wildlife would greatly decrease. So they got to work establishing new flocks of chickens in the most at-risk communities, and also initiated an aggressive vaccination program for Newcastle disease (an infectious illness of poultry that is of particular concern in this area). They worked with over 600 households to ensure appropriate husbandry and vaccination for every flock, and soon found these communities were being transformed by the introduction of a steady protein source. Families with a healthy flock of chickens were far less likely to hunt wild animals like lemurs, and fewer kids went hungry. Thats what we call a win-win situation.
This chicken vaccine program became just one small part of an amazing conservation outreach initiative in Madagascar that puts local people at the center of everything they do. Helping these vulnerable communities of people helps similarly vulnerable wildlife, always. If we go into a country guns-blazing with that fire for conservation in our hearts and a plan to save native animals, we simply cannot ignore the humans who live around them. Doing so is counterintuitive to creating an effective plan because whether we recognize it or not, humans and animals are inextricably linked in many ways. A true conservation success story is one that doesn’t leave needy humans in its wake, and that is why I think this particular story has stuck with me for so long.
(Source 1)
(Source 2- cool video exploring this initiative from some folks involved)
Unfortunately, I don’t have citations, but I have heard about the same phenomenon through Nat Geo Live presentations in the Amazon and Serengeti. Most individuals who are poachers or use slash-and-burn farming are doing this out of survival, not ignorance or greed. They have families to feed and children who will starve if they don’t find food or money. As OP said, fixing the human suffering fixes the conservation issue and is a win-win, while preaching conservation to starving people does nothing.
But on top of that, you know who the most ardent conservationists are once security has been achieved? The people who had once been forced to poach or slash-and-burn to survive. You know who’s great at tracking down gorilla poachers? Ex-poachers. Who’s good at understanding and advocating for people forced to do these things to survive? Ex-poachers. Who can convince others to take a chance on finding a better way to survive? Same answer.
It is win-win-win. As ecologists, conservationists, and environmentalists we must get out of our ivory towers of knowledge, stop carrying them into the field, and remember humans are part of the ecosystem too. And that sustainable change will never happen if human needs aren’t addressed.
I also love this story about the arapaima in Brazil. They increased the population of this endangered giant fish literally a hundred times over- from 3,000 to 300,000- by ending the total ban on arapaima fishing and instead creating legal fishing organizations. The fishing organization members get trained on how do population counts and determine how many fish they can take while still leaving enough for the population to grow.
The former illegal fishers are now sought-after experts, because they know how to spot the arapaima and tell juveniles apart from adults. They get to keep practicing the fishing skills that were passed down to them. The actual process of fishing is easier because they can work together and don't have to sneak around. The profits are higher because they can sell the fish openly to restaurants and to the public. The fishing organization members make sure that other people in their communities don't fish illegally. And the numbers of arapaima keep going up and up, so there's plenty to go around even as more people join the fishing organizations.
If you click all the way through to the report from the conservation org that started the fishing organizations project, there are quotes from fishing organization members:
"We built a second house and I'm putting my oldest two kids through college on the money we get from fishing."
"Nowadays you have young people walking around with pockets full of cash saying "I got 6,000 from fishing this year!" It used to be you wouldn't even get 50 reais of pocket money."
"At the first harvest after we started the fishing organization, I saw full-grown arapaima for the first time, really big ones like they're supposed to be. Before, I had only heard about how big they could get. That's when I knew that our work was paying off and we could keep moving forward."
I still cant believe tumblr tried to make it so there was an individual note count for each post addition; as though best part of successfully adding to a post isn't that you get to sit back smugly as the original poster's notifications are rendered unusable
im really glad youre alive. not because i think the cycle of suffering and rebirth is awesome but because we need to keep as many people breathing as we can to ward off Yorul, who can only take a breath when humans arent inhaling or exhaling. one time in 1976 there was a synchronicity where every human alive was between breaths and Yorul took a biiiiiig gasp and was about to split asia into three when a high schooler in iowa named kim took a hit off her friends joint and choked Yorul out
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I took my little brother (autistic, mostly non verbal) out and he was using his voice keyboard to tell me something, and this little boy (maybe 4 or 5?) heard him and asked me "Is he a robot??" I tried to explain to him that no, he isn't a robot, he just communicates differently, but my darling brother was in the background max volume "I am robot I am robot I am robot I am robot"
My little brother insisted if I was going to post about him, he wanted a cut of the "profits". When I explained to him that Tumblr isn't monetized, and is pretty pointless, he and my older brother pointed out that he'd still be bringing me "fame and notoriety" if the post got "big". So we agreed, if the post hit 10k notes, which seemed extremely farfetched and silly at the time, I'd take my little brother out for sushi (his favorite food) and let him eat as much as he wants.
I guess God wanted the little robot to enjoy some sushi 🍣 🥲
I'm in awe of how we ran historical revisionism on the civil rights movement so bad that people truly believe it was quiet self-sacrifcial non-disruptive christ-like activism that forced progress and not — like — the incredible economic pressure of boycotts and outbreaks of illegal civil disobedience
Yapping to the choir but eughhh it burns me up girl effective protests have to be loud and inconvenient for change to happen because silent cries die in the dark that's the entire pointtt
Also, a lot of the so called harmless examples used for peaceful protests were specifically supposed to be disruptive as all hell. Like, take sit-ins, for example. What you were probably told is that black people just refused to leave white only establishments to make a point.
But how they actually worked was manipulating racist policies to cause as much of a delay as possible. They'd sit down at the bar to order (that's how those restaurants worked, you had to sit down to order and there weren't many tables) and when the waiter said they couldn't serve them, they'd respond that they would wait until they could be served. And then all their friends who they organized this with would do the same, and they would sit there at every seat until they're holding up the whole line. Then nobody could order and the restaurant was forced to either close, serve them, or try and fail to work around them. It wasn't just to make a point, it was to cost them money and time.
Even what was framed as "quiet peaceful protest" was actually very disruptive both socially and economically.
And the struggle didn't stop after formal integration, once the Civil Rights act had passed. Because even when they are legally required to serve you, they can make you really fucking uncomfortable and threaten you and the cops probably will take their side.
For one example, there was a cafe that would serve Black people, but would then publicly break the dishes so that no white customer would ever have to eat off a dish a Black person had eaten off of. This was done publicly, right as the Black diner was done eating. The waitress takes the plate and smashes it. This is a signal both to the white diners "see, we hate them just as much as you do, you're safe here" and also a threat of violence to the Black diners. "If you're not careful we'll smash you just like we did this plate."
But at the same time, if Black people go there and eat every day ... how long before the cafe can't afford to do that? How long before they have broken so many dishes that it's eating into their profits? How long before the white diners start getting used to eating alongside Black people and simply don't care as much any longer, or start getting annoyed at the noise and fuss and mess?
Black people eating in white establishments was loud, inconvenient, and disruptive. Because that's the nature of challenging the status quo.
All of this, plus a couple of additional thoughts:
1. Folks in these movements trained. They were disruptive and they were strategic about it and they trained so that they could stay calm in terrifying situations and create the targeted disruptions they wanted to create and not get goaded into deviating from that. Absolutely badass.
2. Not at all a criticism of OP because I think their description of people thinking it was "quiet self-sacrificial non-disruptive christ-like activism" is dead on, but I think that description itself speaks to the same kind of revisionism re: the Christ of the Gospels and how disruptive he was and why, and it's important to remember that, especially in this era of renewed christofascism. Rev. Dr. King was a prophet and you will never convince me otherwise.
Nonviolence is not a goal, it is a strategy. A deliberate strategy at a calculated time in response to violence of the oppressor, which can be effective if it shames the perpetrators. See: why Selma or Montgomery was chosen by the SCLC (they had the most racist unhinged sheriffs who would deploy maximum force, which got shown on nationwide broadcasts and finally moved the public).
Nonviolence doesn’t mean you don’t carry weapons if necessary, as many organizers in Selma did. Nonviolence doesn’t mean that you accept that people will throw bombs into your family’s home, as they did to MLK.
And yes, the absurd simplification and bastardization of this strategy is deliberate. It went from being a tool for fighting for liberation to being a justification for more violence and oppression used against future generations of protestors who didn’t meet the standard of perfectly obedient nonviolent non disruptive protestors. Which of course there is no such thing.
And it’s all a lie. Know that people in the movement, at the time, were called criminals, because they knowingly and deliberately broke laws with the idea that they’d get arrested. Know that most of the country hated King at the time of his death. Know that no movement demanding change from the system will ever be loved by those in power.
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The Weather Channel's AQI is broken (apparently the entire planet is hazardous to breathe right now, oops) but the scale only goes up to 500 so I am in tears at how the little indicator loads in upon a refresh.
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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I think my favorite scene from 90s movies was the first scene in Gonzorov the Muppets Goncharov in '95.
Opening narration over clocks and a train pulling into naples explaining why Goncharov, and Katya are fleeing to naples
Gonzo: "Here we are beloved a fresh start in Naples."
Miss piggy: "CUT! Wait hold on I'm married to Gonzo in this?!"
camera cuts to Kermit in the directors chair with Rizzo and Pepe on camera and holding the script.
Kermit: "Uh, yes? He's playing Gonzorov the lead we kinda named the movie after him."
Gonzo aside: " Yea I get to star I've been working hard"
Kermit: "And Piggy you wanted the lead and in Goncharov that's Goncharov's wife Katya."
Miss Piggy: " BUT MARRIED TO GONZO?! TO HIM"
Kermit: " Yes he's Gonzorov."
Rizzo: "What's wrong with being married to Gonzo?"
Miss Piggy turns sharply staring Rizzo down.
Rizzo: "Yea ok yer right."
Gonzo: "Hey I'm fine Henrietta loves me"
Miss Piggy: "Which of the chickens is Henrietta? Can you pick her out right now?! Hmmmm?"
Camera pans to the chickens all identical
Gonzo: "Alright you got me there."
Off camera angry chicken noises Kermit looks concerned Pepe and Rizzo chuckle.
Miss Piggy gesturing wildly to Kermit "See Kermy?! Why can't I be opposite of you?!"
Kermit: "Well uh Piggy I'm playing Andrey, not Gonzorov."
Miss Piggy: "Ok well who's his romance option hmmm?"
Kermit: "Officially? No one but it's implied that him and Gonzorov fall in love."
Miss Piggy mouth agap stares into camera
Miss Piggy: "Ok what's the next biggest female part?!"
Pepe: "Sophia Katya's maid" Kermit, Rizzo, and Gonzo all agree.
Miss Piggy: "Ok I'll play her then anything other than being married to Gonzo!"
Kermit: "But Piggy we already cast Sophia.."
Miss Piggy: " WITH WHO?!"
Kermit: "Well Winona."
Camera pans to Winona Ryder eating something at craft services looks up confused.
Miss Piggy hurries over muttering and yelling " SWITCH SWITCH YOU CAN BE MARRIED TO THAT FREAK" forcing Winona off screen. Seconds later Winona gets shoved out wearing Katya's costume.
Kermit:" Uh Winona are you fine with this?"
Winona Ryder: "Oh yea Kermit I actually played Katya in my college production I just didn't want to step on miss Piggy's toes."
Miss Piggy off screen: "THANK YOU~"
Kermit: "Oh uh well ok then everyone reset!"
Title scene and opening narration starts over again, the shadow of a chicken holding a knife can be seen over the clocks and trains.
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