Side blog with useful or interesting posts I want to keep around for future reference, but posts not so interesting or that I don't necessarily agree with to post on my main blog. You have been informed.
Indigenous lands are crucial for climate mitigation and resilience. Research shows their health is a direct result of Indigenous stewardship
While this isn't news to anyone who works in this space, it is useful to have this water-is-wet research to affirm that Indigenous knowledge and land management are extremely effective at storing carbon and protecting biodiversity.
I want to draw special attention to this part of the article:
New research shows that approach overlooks the key role that Indigenous knowledge and culture can play in mitigating climate change. It also reveals a dangerous misconception that has taken hold in global climate discussions: the idea that Indigenous lands are so rich because they are remote or sparsely populated.
Nothing could be further from the truth. The health of Indigenous lands and their ability to store vast quantities of carbon stem from the stewardship of the people who inhabit them.
I'm actually bringing this back around to say another important thing.
I get a fair number of asks and comments on my posts expressing sentiments like "human beings are a plague on this Earth", "humans ruin everything, we deserve to be wiped out", "humanity is inherently selfish, evil, and irredeemable".
I don't think the folks saying these things have bad intentions, I know their words come from a place of very understandable pain, fear, and anger. But to act as though humanity's impact on nature is inherently damaging and extractive is to erase thousands of years of Indigenous stewardship of nature. These ecosystems are thriving because there are humans living there.
This is your regular reminder that you don't need to feel guilty for being a human. You are part of nature--viewing humans as inherently separate from the rest of nature is actually part of the problem. You will be so much better served redirecting that guilt into supporting the humans who are helping nature or resisting those who are hurting it.
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I'm obsessed with gardening systems that utilize rainwater without the use of barrels or cisterns. My ultimate fav is using bioswales to catch and filter stormwater on the street.
Fun addition: Dams that utilize trees to catch dirt/ stop erosion, and prevent disaster that can come from broken dams.
Also, using these to reduce stormwater loads in storm events, particularly in places with combined stormwater and sewage systems, could/would be helpful at reducing river discharges of raw sewage. (If climate change is factored in at system level cos more rain in less time needs to be accouted for at rhe large scale designs...)
Plus using constructed wetlands to retain these discharges and treat them before rivers too!
I am pleased by people messaging me telling me that after adding a carb or protein to their snacks or meals they feel more satisfied all day. Yes, my plan is working. People are getting through their days with less hangry.
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thinking about how when you experience a lot of shame in your formative years (indirectly, directly, as abuse or just as an extant part of your environment) it becomes really difficult to be perceived by other people in general. the mere concept of someone watching me do anything, whether it's a totally normal activity or something unfamiliar of embarrassing, whether I'm working in an excel spreadsheet or being horny on main, it just makes my skin crawl and my brain turn to static because I cannot convince myself that it's okay to be seen and experienced. because to exist is to be ashamed and embarrassed of myself, whether I'm failing at something or not, because my instinctive reaction to anyone commenting on ANYTHING I'm doing is to crawl into a hole and die. it's such a bizarre and dehumanizing feeling to just not be able to exist without constantly thinking about how you are being Perceived. ceaseless watcher give me a god damn break.
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.
Serbian here living in Belgrade! This is all true and I've actually seen some of these around the city a few times. They're amazing at what they do and really cool to watch up close because you can see pretty swirling inside them. It's not only functional but aesthetically pretty nice as well!
to anyone in the areas impacted by the wildfire smoke, my #1 biggest piece of advice as someone whos been dealing with wildfire smoke in the NW united states for years, is build yourself a Corsi-Rosenthal Cube
they perform as well as expensive HEPA air cleaners, and are comparatively VERY inexpensive. all you need is a box fan, 4 air filters, a piece of cardboard, and some duct tape!!!!
i think it took us maybe a half hour to put ours together, if that, and we replace the filters every 3 months. it's really made a HUGE difference, both when the air quality is bad, but also with our allergies
Also just a handy, DIY air filter in general, if a bit bulky. For a less bulky and cheaper (but also less effective) solution, you can simply tape one filter to the fan, cut a shroud if you'd like.
just FYI, this is quite literally what the climate scientists at my work who specialized in wildfire smoke impacts recommend. it works great, it's cheap to make, and it will make a noticeable impact on your air quality.
i have asthma & keep one of these running in my room perpetually. after I set it up the difference in my sleep quality was pretty much night and day. Dont waste your time on proprietary air filters; SIMPLY bust out the duct tape
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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.
That’s Louis Rossman, a repair technician and YouTuber, who went viral recently for railing against Apple. Apple purposely charges a lot for repairs and you either have to pay up or buy a new device. That’s because Apple withholds necessary tools and information from outside repair shops. And to think, we were just so close to change.
This guy inspired me to repair my own macbook. First of all, you should know that I am not… like, I have to look up HOW to look up what my computer specifications are. Tech, that ware either soft or hard, is not a subject in which I experience comfort or competence.
But my puppy peed on my keyboard, and I asked the apple store, or the fucking mac cafe, or the godsdamn Computer House Chill Zone or whatever cute ass name they have for their bullshit store, and they said it would be TWELVE HUNDRED DOLLARS TO REPLACE MY KEYBOARD. I’m not even exaggerating.
So I asked the internet, well how hard IS it to repair? And I saw this guy’s video, and while I am no techie, I AM fueled by spite, so I was all “oh, they do that shit on purpose specifically so they can charge me $1200 bucks or make me buy a new computer hunh? FUCK THEM” and I bought all the tools I needed for about $25 and I bought all the parts I needed for about another $25 and I watched a few tutorial videos, and I replaced my own keyboard.
So, once you are doing the actual deed, it becomes pretty obvious that they are finding creative ways to make this much harder than it has to be on purpose. On thing that stood out to me is, instead of all the tiny screws being the same size, there are about two dozen very slightly different sizes. They could easily be all the same size, or like, two sizes at most, but no.
These mother fuckers will take a panel that screws into place and they’ll use a different size screw for each corner. They are so close that you almost cannot tell them apart visually, but they each will only screw into the matching corner. Like, it’s a pretty clear “fuck you” to anyone trying to do repairs.
anyway, this guy is also fueled by spite, and doing holy work, and I have mad respect
ifixit also makes kits and instruction for nearly every part for consoles, computers, phones, tablets, just about anything. We’ve replaced multiple parts on our old 3Dses at this point. It’s not nearly as hard as you might assume and very worth it to learn how to repair your own electronics.
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It is an mRNA vaccine with successful mammalian (mice) trials.
The vaccine targets life-threatening inflammation and immune responses.
Mice with serious allergies, which received the vaccine tailored to those allergies, stopped having immune reactions when exposed to those allergens.
Aka: vaccinating against allergies.
If they can develop it for safe human use, it could save an enormous amount of lives, and IMPROVE the lives of people who live in constant fear of encountering their lethal allergens.
Because it’s able to be tailored, and specifically affects the immune system response, it may one day be able to adjust immune responses to chronic conditions like Celiac Disease, Asthma, Food Sensitivities, Food Allergies, and potentially many other autoimmune disorders.
Imagine a future where a child with a deadly shellfish allergy could get a shot and just… not be allergic anymore. Eat shrimp with no fear.
Be born with Celiac, get a shot, and casually eat gluten with no side effects.
We’re not quite there yet, but it’s performing well in mammalian trials, and we have high hopes!
