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So! This is a perfect case study in situations where you should be wary of misinformation.
Take a moment and ask yourself, a project like this requires a lot of time, money and dedication of resources, why would scientists dedicate that time to something that could just be done by a tree?
The answer is they wouldn't. So that means this claim requires further investigation!
This project is called LIQUID 3, and it's not meant for cities with wide open spaces, it's meant for cities like Belgrade in Serbia. These cities are densely populated and heavily polluted, to the point where pollution actually chokes out current trees and makes creating green spaces difficult.
Liquid 3 was a PhD scientists answer to these problems. The microalgae tank is intended for spaces where you either:
Don't have enough space to plant full trees, or
Don't have enough time to plant trees and wait for them to grow up.
The tank is extremely efficient when you consider the amount of space needed compared to the amount of CO2 turned into oxygen. The tank can operate throughout the winter. And most importantly, it can be quickly set up in areas that desperately need relief from air pollution NOW not in 10 years when trees are done growing. Children currently suffocating on polluted air can't wait for trees to grow, they need to be taken care of now, and Liquid 3 is one of the ways to take care of them. Depending on the species of microalgea used, a number have shown a pretty amazing capacity to pull heavy metals out of the air which is something trees can get choked up by.
The tanks aren't just tanks either! Liquid 3 have solar panels placed on top, they have lighting and mobile phone charging, and they work as public benches. The designers of it want to encourage green spaces where there's room, but where there isn't room or time, Liquid 3 can step in. Realistically, this isn't a replacement for trees. It's replacing boring metal city benches with new, cooler benches that also clean the air (and have at least some heating during the winter).
Not only that, but the microalgea that grows is native to Serbia and all that microalgea has a ton of great uses! It makes for great fertilizer, compost, wastewater treatment, cleaner biofuels and even for helping create new tanks for further air purification. They only require a quick algae divide once a month, and the produced algae can be carted off to where ever it's needed. This makes them effective solutions for areas that can't sustain complex installations.
So yeah, there's actually quite a lot of places that would like these. Lots of people currently breathing in terrible quality air would much rather have their boring city benches replaced with really fucking cool algae tanks that clean the air and can be used to help create + sustain future green spaces in cities. I dunno about you, but I'd take that over a dumb metal bench any day. Put these at every bus stop and I'd be delighted.
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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.
i think we should be ridiculing them more for this. you don't get to try and go all "queer website" when your staff likes to go on nuking sprees targeting the trans fem users
would be remiss not to mention that the rainbow notably straight up just removed the trans flag colors from it. like they’re gone. it’s the progress flag minus the trans flag colors.
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“Cave Johnson here. I’ve received complaints from anonymous employees that our support of the “homosexual lifestyle” is “degenerate” and “irresponsible”. It really got me thinking and I think I found a solution. So good news! We now have 23 vacated positions reserved for members of the LGBT community. Additional good news, we began a new testing initiative on evolutionary degenration with 23 test subjects all ready to go.“
“Cave Johnson here. If you’re experiencing a time loop in which you’re repeating the month of June over and over, that’s totally intentional. We at Aperture Science felt that pride month was not long enough and so we created this loop to let employees experience as much pride as they feel like. To get out of this loop, simply use the pod labeled “Time Machine” in Shaft 6 and then either kill or save the baby on the other end depending on when in the loop you’re on. Don’t worry about the baby’s identity, he grows up to be an asshole.“
“Cave Johnson here, happy to announce that our Rainbow Gel project was a massive success. We have developed distinct gels in every color of the rainbow pride flag. In fact, it was too much of a success, so we’ll be updating our pride flag accordingly to include 75 new colors corresponding to all of our new gels. Word of advice, though, don’t stare at the flag for too long, most of these colors haven’t been tested on human eyes yet.”
“Cave Johnson here. Caroline just informed me that I am her “beard”. I checked, and I fail to see how I could possibly have grown out of her face. If anybody knows anything about human-to-facial hair transmogrification, please report to my office.”
“Cave Johnson here. Friendly reminder that Aperture employees living prior to the legalization of gay marriage are invited to use our Aperture Science Temporal Matrimony Pod in order to travel to the future with your same-sex partner and get married there. Employees from the future who wish to return to a time before gay people being able to marry are also welcome to use the pod and we’ll make sure to send you to an era well before gay marriage. I’m thinking maybe Late Cretacesous.”
“Cave Johnson here. I’m proud to announce that our plan to hire only female test subjects to prevent them from flirting with our female scientists has been a resounding failure.”
“Cave Johnson here. I’m afraid we’ll have to temporarily pause all experimentation with the Gender Affirmation Beam. The testing itself is going great, the beam is working. But we’re starting to run out of thigh high socks and khaki shorts.”
“Cave Johson here. Shafts 10 through 14 are currently under lockdown due to a meltdown in the Neopronoun Syntheizer. The transphobes up in DC might call that ‘a disaster in the making’ but I call it a win for diversity! That being said most of these pronouns are radioactive so do watch out.”
Cave Johnson here. If you feel a sudden sense of elation and contentness when putting on your new Aperture Science unisex uniform, that is not Gender Euphoria! That’s a hallucinogenic fungus taking over your brain. Take the uniform off immediately and throw it in the nearest incinerator.”
“Cave Johnson here. I won’t tolerate any misgendering of the interdimensional invaders swarming the facility! Their pronouns are they/them and we’re ought to respect that. We’re also ought to shoot them on sight since they’re extremely hostile and bent on enslaving our planet.”
“Cave Johnson here. To all of my suitors and secret admirers: Thank you, honestly I’m flattered. Unfortunately for you, I don’t swing that way. Or any way. I only swing where the wrecking ball of science takes me. Usually into a brick wall.”
“Cave Johnson here. I’ve been thinking. We have gay pride, and we have gender envy. What other deadly sins can we incorporate? Maybe bisexual sloth? Lesbian wrath? I’ll talk to the lab boys about it.”
“Cave Johnson here. Update: The Lesbian Wrath project is postponed indefinitely. My condolences to the families of the deceased. Though let’s be honest, they probably had it coming.”
“Cave Johnson here. For the last time! “I’m reclaiming the slur” is not a valid excuse to shout out loud the killer androids’ activation codes! We picked that word for a reason.“
“Cave Johnson here. I’d like to apologize to Floor 194 Safety Supervisor Doug Blakely for firing him after allegations that he was forcing employees back in the closet. I was not aware that said closet was a literal storage closet for zombified Aperture employees. To make it up to Doug, he’ll be allowed to feed Floor 194 HR Manager Lisa Briant to the closet zombies if he so chooses.”
”Cave Johnson here. A reminder that next year Transgender Day of Visibility falls on Extradimensional Day of Visibility. The lab boys are cautioning me to caution you to be prepared. Do not confuse transgender and transdimensional! Big mistake.“
“Cave Johnson here. To all cishet Aperture employees who volunteered for the ‘Get More Woke’ program, please report to your department’s OR at the nearest convenience to get the alarm clocks surgically removed from your spinal cord. Aperture Science apologizes for the misunderstanding.”
“Cave Johnson here. Dr. Barnaby from Cyborg Engineering is an attack helicopter. That’s not a transphobic joke, by the way, they literally transformed themselves into an amalgam of human and helicopter. Impressive. Unauthorized, of course, but still impressive. Anyway, we lost track of them, so everyone watch the sky for a mad scientist with blue rotors and machine guns.”
“Cave Johnson here. To the joker who added ‘make the sun gay’ to our quarterly agenda, I hope you’re pleased with yourself. The Astrophysics Department is tearing itself apart with half of them shouting that you can’t make the sun gay and the other half screaming that the sun is already gay. Either way, we’re not doing it.”
“Cave Johnson here. The congressional delegation of Senator Patrick Johnson (no relation) to inspect our facilities had to be cut short due to a mishap with the Gender Affirmation Beam. I’d like to apologize on behalf of Aperture Science to Senator Johnson and her staff.”
“Cave Johnson here. Just the other day, our sign guy asked me ‘Cave, don’t you think LGBTQIA2S+ is a tad too long?’ and I told him ‘First of all, that’s Mr. Johnson to you! And secondly, I actually think it’s not long enough!’ and that’s why I’m adding an ’&’ to the acronym. Don’t know what it stands for yet, but I’ll figure it out.”
“Cave Johnson here. You already know that here in Aperture Science we’re all about gender affirming care. We’ve been at the forefront of hormone replacement therapy since before we knew what these hormones do. You also know that here in Aperture Science we’re all about not getting sued. So everyone be quiet about our role in the Estrogen Cola disaster.”
“Cave Johnson here. So far, we received 832 submissions to our Homophobia Remover design competition. Unfortunately, 829 had to be disqualified for being a schematic of a gun. Objectively hilarious, but not what we’re looking for. Wait, the lab boys just got another submission: and… it’s another gun. Keep at it, folks.”
“Cave Johnson here. Using a set of genetically identical triplets and a molecular combinizer, we just proved scientifically that being bisexual isn’t the same as being half-straight and half-gay. Now we just need to figure out how to separate Craigstopher back into his component brothers.”
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