Once Running Out of Water, San Diego Now Manages Their Water So Well They Can Assist Other States
Image and information from this New York Times article:
After spending half a decade ravaged by drought, San Diego has invested significant time and money in decreasing its reliance on water imports. By building desalination plants, strategically acquiring water rights, boosting dam storage--and increasing water use efficiency even to the point of now recycling sewage water--they have now thoroughly accomplished that goal.
In fact San Diego has done so well that they can now have water to spare to help other drought-ravaged states through their own water crises.
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med people are so annoying "This family's 8 year old child who was about to go through a major surgery and kept crying that she was hungry so they pitied her and gave her food, she then had a heart attack in the surgery. They're so stupid 😒" girl they didn't know that could happen or why it happens. it takes so little time to explain to them that will happen instead of telling them "no food" with no explanation 10 times
"Before surgery, your body’s reflexes that protect your airway are relaxed by anesthesia. If there’s food or liquid in your stomach, it will near certainly come back up and go into your lungs, which can cause choking, a severe lung / heart infection or even a heart attack. That’s called aspiration, and it is life-threatening. It's hard, but it's only a single day to prevent near certain death. Not eating or drinking beforehand massively lowers the risk and helps prevent these life threatening situations under anesthesia." <- TIP: patients have brains which allows them to receive information just like you
I have four kids. I’ve had one or another of them need some kind of surgical procedure that requires anesthesia four or five times over the past 15 years.
This Tumblr post is the first time someone has explained to me *why* I couldn’t feed them before those instances.
I’m not stupid. I understood that just fine. Hell, my kids would have understood that just fine. But no one bothered to tell us.
i did know this before having kids (i have six). we have a kid that's needed multiple procedures requiring anesthesia. and every single time, i am asked multiple times if i'm sure he was not given any food or water after a certain point.
every single time i have had to say, "i understand that if he had food or water, he could aspirate it into his lungs under anesthesia. i am not lying to you." THEN someone would make a little note and i would stop being repeatedly asked.
not a single time was that risk explained to me. the only reason it came up was because i already knew. i still don't understand why it isn't standard pre-op counseling or pre-op check information, when me as a parent acknowledging the actual risk also put THE MEDICAL STAFF at ease because i conveyed that i had informed understanding as reason to not lie about giving my kid food.
"maybe some people will get nervous and refuse surgery" okay so they need more counseling about risks and anxiety, not less information in a way that actually does endanger their child or themselves!
Funny that the stereotypical cynic is an idealist who aged out of it. In my experience, the reverse is true. I was an extreme cynic as a teenager and then I noticed how profoundly limiting it was, and also that "cynics are cool and smart" was a message that was being constantly reinforced by corporate media for some reason.
#yes! cynicism reads as very juvenile to me#and yes prev often stemming from teen pain
Yeah, like I see black-pilled people on here and my default reaction isn't "oh, these must be world-weary old warriors who've lost their faith in humanity", it's "these people are in their 20s and need a hobby"
I also think that the present era has proven that authoritarian leaders don't actually want a population of wide-eyed idealists, they want a population of jaded assholes who are convinced that everyone is lying, any resistance is either a scam or doomed to failure, and nothing can ever get better.
if you're bored and want to do something simple but fulfilling I recommend wikisource's proofread of the month. you can help public domain works be transcribed to be more accessible for everyone! even just validating a few pages helps a lot and there's a bunch of simple guides on the site.
Every time you catch yourself going, "Fuck, are humans just inherently evil and naturally inclined to selfishness and harm???" you HAVE to remember that that's literally a core ideal of Christianity.
So if it feels inescapable and like evidence of it is everywhere, whether at times or always, that might just because you're in a Western country where you're surrounded by Christians who believe that, fundamentally, in their worldview. And also they talk and make art about it all the time and run the vast majority of news outlets. And spent over a thousand years burning any art or texts that disagreed with them. Etc. etc.
If you're gonna come to as drastic and painful a conclusion as that, at least take the time first to make sure you're not working with biased evidence (surrounded by too many people and cultural products that believe original sin is real)
And if it turns out the feeling WAS partly the result of cultural Christianity, then hey, that's great news, because it means there's that much (and it really is SO MUCH) less evidence that humans inherently suck. Which is good, because we don't
ignore that cultural trauma, ask an archeologist / paleontologist.
how often do we find human remains / burials attributable to a peaceful death of old age, or at least to disease / wild animals? and attributable to human violence, i.e. with traces of weapon impacts?
to use an old quote, the last ape became the first human not when he picked up a stick to reach some fruit, but when he used that stick to bash another ape over the head and take away his fruit.
I disagree with pretty much all of that, actually. Modern archeology is only just in the process of pulling itself out of hundreds of years of racism, bias, colonialism, disproven assumptions, widespread graverobbing, and massive, blatant pseudoscience; many ideas, theories, and publications in the field that are older than about 20 years are of highly questionable provenance.
I personally am much more convinced and compelled by newer theories that, if any piece of technology made us human, it was not the weapon - it was the carrier bag, the story, and/or fire. (But not fire with the primary purpose of violence, mind you - fire with the primary purpose of heat and food and sanitation)
Here's a quote on this from one of my absolute favorite thinkers and writers, Ursula K. Le Guin:
If you haven't got something to put it in, food will escape you-
even something as uncombative and unresourceful as an oat. You
put as many as you can into your stomach while they are handy, that
being the primary container; but what about tomorrow morning
when you wake up and it's cold and raining and wouldn't it be good
to have just a few handfuls of oats to chew on and give little Oom to
make her shut up, but how do you get more than one stomachful
and one handful home? So you get up and go to the damned soggy
oat patch in the rain, and wouldn't it be a good thing if you had
something to put Baby Oo Oo in so that you could pick the oats with
both hands? A leaf a gourd a shell a net a bag a sling a sack a bottle a pot a box a container. A holder. A recipient.
The first cultural device was probably a recipient. . . . Many
theorizers feel that the earliest cultural inventions must have
been a container to hold gathered products and some kind of
sling or net carrier.
So says Elizabeth Fisher in Women's Creation (McGraw-Hill, 1975).
But no, this cannot be. Where is that wonderful, big, long, hard thing, a bone, I believe, that the Ape Man first bashed somebody
with in the movie and then, grunting with ecstasy at having
achieved the first proper murder, flung up into the sky...? I don't know. I don 't even care. I'm not telling that story. We've heard it, we've all heard all about all the sticks and spears and swords, the things to bash and poke and hit with, the long, hard things, but we have not heard about the thing to put things in, the container for the thing contained. That is a new story. That is news...
It sometimes seems that that story is approaching its end. Lest
there be no more telling of stories at all , some of us out here in the
wild oats, amid the alien corn, think we'd better start telling another
one, which maybe people can go on with when the old one's fin-
ished. Maybe. The trouble is , we've all let ourselves become part of
the killer story, and so we may get finished along with it. Hence it is
with a certain feeling of urgency that I seek the nature, subject,
words of the other story, the untold one, the life story.
-via Ursula K. Le Guin, The Carrier Bag Theory of Fiction. Originally published 1986, new edition with forewords and commentaries published 2024.
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use overdrive, libby, hoopla, cloudlibrary, and kanopy instead of amazon and audible.
use firefox instead of chrome or opera (both are made with chromium, which blocks functionality for ad-blockers. firefox isn't based on chromium).
use mega or proton drive instead of google drive.
get rid of bloatware
use libreoffice instead of microsoft office suite
use vetted sites on r/FREEMEDIAHECKYEAH for free movies, books, games, etc.
use trakt or letterboxd instead of imdb.
use storygraph instead of goodreads.
use darkpatterns to find mobile game with no ads or microtransactions
use ground news to read unbiased news and find blind spots in news stories.
use mediahuman or cobalt to download music, or support your favorite artists directly through bandcamp
make youtube bearable by using mtube, newpipe, or the unhook extension on chrome, firefox, or microsoft edge
use search for a cause or ecosia to support the environment instead of google
use thriftbooks to buy new or used books (they also have manga, textbooks, home goods, CDs, DVDs, and blurays)
use flashpoint to play archived online flash games
find books, movies, games, etc. on the internet archive! for starters, here's a bunch of David Attenborough documentaries and all of the Animorphs books
burn your music onto cds
use pdf24 (available online or as a desktop app) instead of adobe
use unroll.me to clean your email inboxes
use thunderbird, mailfence, countermail, edison mail, tuta, or proton mail instead of gmail
remove bloatware on windows PC, macOS, and iOS X
remove bloatware on samsung X
use pixelfed instead of instagram or meta
use NCH suite for free software like a file converter, image editor, video editors, pdf editor, etc.
feel free to add more alternatives, resources or advice in the reblogs or replies, and i'll add them to the main post <3
Rumination is probably the most common type of OCD compulsion, but I rarely see anyone talking about it. I've talked to multiple people diagnosed with OCD who didn't even recognize it as a compulsion.
Basically, if you have OCD you have terrible intrusive thoughts. They can be about anything, but common themes are fear of being a bad person, fear of hurting someone, fear of contamination. etc.
Rumination is when you get stuck in a spiral. Rumination is when you spend hours catastrophizing, overthinking, analyzing, telling yourself it's going to be okay.
I'll say it again:
Rumination is a compulsion.
Rumination is a compulsion, and that means you have to stop doing it.
I did ERP (exposure response prevention) for my OCD with a therapist! For 9 months! And it did help, but the idea didn't really click until I found this website a couple years later.
And Oh My God. It made things make so much more sense, and I was able to pull myself out of an episode even though I wasn't in therapy or on meds at the time.
Genuinely if you have OCD, or even if you suspect you have OCD, I'm begging you to read some of these articles.
Like this was genuinely life changing for me.
Here are some of the ones that were most helpful to me:
For those of you with android devices, you can use the Android Debug Bridge (ADB) standalone app control program to get rid of all the bloatware, data mining, and AI crap - no coding needed!
There are also Android-based alternatives like GrapheneOS and LineageOS, which are pretty easy to install. These are unfortunately available for a more limited range of devices (Graphene is ironically Pixel only, while Lineage supports more), but it's very worth checking out whether one of them might work for your phone.
GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.
LineageOS Android Distribution
Typing this from Graphene now, in fact. But, both of those take the Android Open Source Project, without all the bloatware--and largely de-Google the whole thing. They give you much more control over privacy and what the apps you choose to install can do and access on your phone.
I know Graphene sandboxes everything, including the optionally installed Google Play Services which a lot of apps unfortunately require to run. (Lineage uses an alternative to Play Services instead.) So, you can install what would normally be unacceptably intrusive apps and just lock them away from pulling any funny shit with your data, or phoning home. Including the couple of Google things I do still keep around.
I also prefer running much more transparent, privacy-respecting open source apps where possible. Besides the transparency, I'd rather avoid the shitty tech corps entirely where I can. There are pretty good alternatives available for a lot of the usual suspects.
AlternativeTo lets you find apps and software for Windows, Mac, Linux, iPhone, iPad, Android, Android Tablets, Web Apps, Online, Windows Tab
An alternative app store:
F-Droid is an installable catalogue of FOSS (Free and Open Source Software) applications for the Android platform. The client makes it easy
"i don't care if they make their whole way though uni with chatgpt" i think you guys are so internetpilled that you have forgotten there are actual jobs out there that require people to know what they are doing in any way possible or else people die
114 people died in the Hyatt Regency collapse, and in the US it's the third largest structural collapse fatality count, behind 9/11 and the Pemberton Mill collapse in 1860.
I've learned about this tragedy in my physics classes, to demonstrate tensile strength, and as a reminder about the importance of calculations being done right. I've also learned about it in my legal classes as an example of construction defect lawsuits. I've seen it referenced in disaster response classes.
Between AI and the current Presidential administration, we're barrelling right back towards this nightmare.
There are multiple errors that resulted in this collapse, but these stand out to me:
1. Kansas City was facing high unemployment and needed to attract jobs and business into the city. So the planning and inspection departments may have looked too closely at the designs.
2. An engineering firm too lazy to double check their designs or design changes by the manufacturer before approving them. The error that resulted in the collapse was one that the owner of the engineering firm said that a "first year engineering student" would spot.
3. The steel manufacturer treating preliminary plans as final plans, not verifying the math on their end.
The bridges' original design could only hold 60% of the minimum load required by city code. The design changes recommended by the manufacturer halved that. Less than a year and 3 weeks from opening to the public, the whole thing collapse.
Articles about the collapse say that everyone "trusted" the other party to have done the calculations correctly.
A significant portion of the population trusts what the computer or AI tells them, without checking. Imprecisely calibrated AI hallucinate information. The US economy is going into a downturn and federal regulatory agencies are being gutted.
We are going to see the Hyatt Regency Collapse repeat over and over for decades, not just in buildings, but in medicine, manufacturing, the environment, etc.
Some of this we're just going to have to weather, but the message for AI users comes straight from IBM (once the world's leading computer manufacturer) back in 1979:
"A Computer Cannot Be Held Accountable. Therefore A Computer Should Never Make A Management Decision."
The owner of the engineering firm that designed the Hyatt Regency spent the rest of his life lecturing on the disaster, to serve as a warning to his fellow engineers about the real-life consequences of sloppy design.
I don't think Sam Altman or Mark Zuckerberg or Elon Musk will have the courage or the honor to do that when OpenAI / Meta / xAI are responsible for getting people killed.
So if you're going to blindly trust the AI to do critical work tasks, I hope you're prepared to be making an apology tour for the rest of your life if it all goes wrong.
I've been thinking about this post since I first saw it, bc I think, like...
It is important not to walk away from it thinking "but I'm not going to be an engineer, so that's fine."
In my adult life, I have (among other things) run a small business, I have managed a bank branch, and I have been a mortgage processor. In any one of those three jobs, not knowing the exact correct laws and procedures for what I'm doing could really fuck up someone else's life.
If I don't set up payroll correctly, I could create a huge disaster for myself and employees, either immediately or come tax time. QuickBooks keeps trying to get me to let AI manage my payroll and I would rather stab myself in the hand.
If I didn't handle deposits and Fincen reporting correctly in my branch banking days, I could end up accidentally committing many many crimes and making it harder for people to catch some of the really big, really terrible crimes. (Hint: this was important to uncovering all the Epstein shit!) That's not even counting all the actual cash I was responsible for. (It makes me want to throw up thinking about the fact that I literally handled about a million dollars in cash every week for 2 years.)
If I didn't handle my mortgage processing exactly right, people could lose their homes. I cannot stress enough how easy it is for shit to get REALLY FUCKED UP if deeds and mortgages are not filed exactly right. People get their homes (legally!) stolen from them every year.
Yes, it's important for engineers to learn how to do their jobs, but man... our lives are so interconnected, and so many things matter much more than you know. If the shit you do matters at all, in any way, to anyone, ever, you fucking need to do it right, because someone is counting on you doing exactly that.
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if you'd like to show support, here are some upcoming queer books:
When Life Gives You Corpses is a brilliant YA about a cursed praying mantis who falls for a young witch. Yield Under Great Persuasion is a raunchy, but surprisingly sweet story about two men repairing their relationship. Fabulous Bodies is a horror story about a queer rockstar rising from the dead.
This is Where the Future Bleeds is a fantasy set in a vividly imagined land, where two women (who happen to kiss) are the key to healing the broken sky. You're No Better is a story about a teen struggling in the shadow of his murderous parent. Oil on Canvas is about a woman who finds disturbing paintings in the home of her dead mother.
and then here's a list of 26 queer books by Black authors set to publish this year, and a 10 upcoming books by trans authors. if you want to fight back against queer censorship, use your wallet! or (if that's not an option) you can contact your local library and ask them to stock a copy.
Alex Rowland (Author of Yield Under Great Persuasion and several other amazing books!) has a kickstarter going on for their most recent book! Fantasy Romans! Fantasy Emperor Hadrian and Antinous! As an Academic Text! By a Fantasy Author! So cool right?? Check out in the link below! Five days left to back it and some seriously cool merch!
A new fantasy novel by Alexandra Rowland, author of A TASTE OF GOLD AND IRON, RUNNING CLOSE TO THE WIND, & YIELD UNDER GREAT PERSUASION
For millions of people managing type 2 diabetes, mornings begin the same way — a needle, a dose, and a quiet mental note to do it all again
For millions of people managing type 2 diabetes, mornings begin the same way — a needle, a dose, and a quiet mental note to do it all again tomorrow.
That routine just changed.
On March 26, 2026, the U.S. Food and Drug Administration approved Awiqli (insulin icodec-abae), developed by Novo Nordisk, as the first and only once-weekly basal insulin ever approved for adults with type 2 diabetes in the United States.
This is not a minor update to an existing drug.
It is the first entirely new class of basal insulin to reach U.S. patients in more than two decades.
Instead of injecting insulin every single day, people with type 2 diabetes using Awiqli will only need one shot per week, on the same day, every week.
That means reducing from 365 injections a year down to just 52.
For anyone who has ever felt the weight of that daily ritual — the anxiety of forgetting, the physical discomfort, the constant reminder that their body needs help — this approval represents something much bigger than a dosing schedule.
It represents relief.
How the Drug Actually Works
Understanding why this injection lasts a full week requires a quick look inside the body.
Most traditional basal insulins are absorbed into the bloodstream and begin breaking down within 24 hours, which is why patients need a fresh dose every day to maintain stable blood sugar levels.
Awiqli works differently.
Its active ingredient, insulin icodec-abae, is engineered to loosely attach to a blood protein called albumin, which is found naturally and abundantly in the bloodstream.
This attachment creates a slow-release reservoir.
Instead of flooding the system and fading fast, the insulin releases gradually and consistently over an entire seven-day period, keeping blood sugar in a healthy range around the clock...
What Comes Next
Awiqli is not standing alone in this space for long.
Eli Lilly is developing its own once-weekly basal insulin, called efsitora alfa, which is currently in late-stage clinical trials.
If that drug also earns FDA approval, it would give patients and doctors two once-weekly options to choose from, allowing for personalized decisions based on a patient’s health profile, insurance coverage, and individual response.
The broader direction of travel in diabetes care is unmistakable.
Fewer injections, smarter formulations, and better integration with digital tools like continuous glucose monitors and insulin-tracking apps are all converging toward a future where managing diabetes requires less daily mental effort without becoming any less medically precise...
A Small Shot With Large Implications
It is easy to look at a once-weekly injection and see only a scheduling change.
But the science behind Awiqli, the scale of the ONWARDS trials, and the consistent satisfaction reported by patients all point toward something that matters far more than convenience.
Diabetes management has always asked a lot of people.
It asks for daily vigilance, daily discipline, and a daily willingness to confront one’s own condition, sometimes in uncomfortable or inconvenient circumstances.
Anything that reduces that load, without reducing the quality of care, is worth taking seriously.
For the more than 37 million Americans living with diabetes, and the hundreds of millions more around the world, a simpler weekly routine could mean the difference between a treatment plan that works on paper and one that actually works in a person’s life.
That is the real significance of what the FDA approved on March 26, 2026.
Not just a new drug.
A new way of keeping people healthy, one week at a time.
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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