I think it's so funny how we bred JOBS into dogs. I have two shih tzus and they were bred to be lap dogs. All they care about is looking cute and cuddling with people. Meanwhile my grandma has a border collie and that dog needs to feel so useful all the time, he acts like he will pass away if he doesn't have a job to do constantly
On one hand this is extremely fucking funny, but on the other hand, it really boggles my mind how many people punish their dogs for just… doing the thing they were bred to do.
Your husky isn’t “hyperactive”, it’s bred to pull sleds for 8 hours straight and you have it in a 400 sq ft yard.
Your English sheepdog isn’t “pushy”, it’s bred to herd sheep, and you have neither to space nor the herd to allow it.
Your terrier isn’t “nippy”, it’s bred to kill rats and your hamster looks a hell of a lot like one.
Your Catahoula isn’t “mean to animals”, it’s bred to hunt any and all animals smaller than it, and you didn’t acclimate it to your cat.
Your Lhasa Apso isn’t “yappy”, it’s bred to bark at any tiny noise and alert watchmen to intruders
Like Jesus Christ, if you can’t provide an environment where your dog can’t fulfill its literal life purpose, maybe?? Don’t get that dog??? And if you do, maybe know the breed characteristics so you can redirect those traits into more constructive outlets????
Both your most common doodle's parts (labra and golden) want to hunt and retrieve water birds so the best suggestion I can give y'all is congratulations on your new duck hunting hobby.
Any time someone sees Herschel and says "AWWW I want a Corgi <3" (because he is Very Cute (TM)), I immediately reply:
"Do not get a Corgi unless you have a job for it to do. They were bred to bully livestock across the hills of Wales. This is basically a Border Collie that knows he is cute enough to get away with murder. If you get one and it doesn't have a job, it will apply its livestock-bullying instincts to YOU. Herschel's job specifically is to help manage my crippling ADHD, because I don't have a bull for him to micromanage."
This gets me odd looks at the home depot but it does get the point across.
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Scientists invented a fake disease. AI told people it was real: Nature.com
I'm a bit frightened for the time when someone less ethical than the person that did this decides to repeat the experiment but leave out the part where they come in later and announce that it was fake and people wind up diagnosed with the fake condition and all kinds of wacky hi jinks ensues.
The older I get the more I admire people who are earnestly, genuinely into whatever their thing is. I know it sounds like an annoying cliche but unless you're being cruel or hurtful there is really no need to be normal about things. The dude with the bad fake accent at the renaissance faire is having the time of his life. The people having photoshoots with their fashion dolls are loving it. The old lady with a yard unreasonably full of tacky ass lawn ornaments is having a blast, HOA be damned.
Don't waste your time being too cool to have fun, y'know?
Some dipshit decided to pay the conference fee ($250) in quarters. He handed us a wrapped plastic bag full of loose change. "It's all there," he said with a shit-eating grin, "you can count it."
Oh buddy. We're going to count it. What were you expecting?
At about the time I got to $60, he offered to give us $300 collateral so he could get his badge and go to the conference.
No, bud. You get to watch the most dyscalculic staffer count to a thousand while all your friends go in to the breakfast and find seats for the first talk.
"Ruining someone's day" is the favorite hobby of everyone here. Why would you hand us the perfect opportunity to wreck your shit and think that was an own? Half the con is calling him "Untraceable," the other half is calling him "Quarter Boy" and nobody cares what he says his handle is.
I spent an hour counting that and made him go fetch me baggies to hold it every fifty dollars.
This ended up being a good bonus prank for me too, because when the counting was done I wrapped the bags in gaffer's tape and spent the rest of the day handing it to people very casually while saying "oh here, hold this for a sec" and then watching they weren't ready for the weight (I only did this to people I know well enough to know this wouldn't hurt them).
It's an infosec conference, so it's a weekend in a hotel full of people whose favorite thing is breaking the law and whose second favorite thing is following the letter of the law while cheerfully violating the spirit.
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"Grace Ryland is Rocky's dog" is such a funny fucking dynamic when you think about it
Eridians are further behind than humans technologically right? They dont have computers, relativity, quantum mechanics, etc. In fact, Eridians probably dont even know about the Big Bang because their atmosphere would filter out most of the cosmic microwave background radiation we use to detect it. On a human timeline, theyre anywhere between like early-mid 20th century. Rocky's basically a cosmonaut.
So the human civilization is pretty advanced from Rocky's perspective. Rationally he understands this. On a conceptual level he knows this to be true.
But at the same time... imagine youre one of the first ever cosmonauts to make it into space. Then you meet a 10 year old alien dog who cant do 2+2 without pulling out its calculator. It forgets everything constantly and has to keep notes everywhere, like it basically lives in Memento (2000). Also if it doesnt nap constantly it gets even stupider. And you somehow has to reconcile this with the fact that this dog has a better understanding of physics than your entire civilization does. Like the dog knows how the universe started.
This isnt better from Grace's perspective btw. Eridians never developed computers, so all their ship systems are steered using basically the manual labor of 24 Eridians. Also theres no radiation shielding on their ship. Actually im pretty sure half the reason why Rocky is always busy fixing shit is because the radiation keeps frying all the onboard electronics, so hes always building and fixing and replacing components
Like imagine being a modern day sailor navigating the Pacific with GPS and strong hulls to protect against the raging ocean. And from portside you see like an honest to god viking ship. Except its made of some high tech carbon fiber material. But like, its still very definitely a viking ship. You can clearly see there's 24 oars along the hull where sailors are supposed to use to manually row their ship. Also the ship is leaking and theres like one little dude on board whos skittering around patching the holes constantly. Also this little dude is blind and doesnt know about water. Thats how insane Eridians look being an interstellar species without computers or radiation shielding.
Both of them thinks the other one is the completely ridiculous and absurd one and theyre both totally amazed at how far the other has come in spite of it
Listen, I'm having fun playing with the ultra patriotic voice, but after a couple years in blue-collar landscaping jobs, you really do need to phrase things like that.
"I'm pretty sure that fella ain't here legally."
"Well, that ain't your business Chip, it's his."
They hate being preached to. If you pull out words like 'gender wage gap' they'll tell you you're brainwashed by the far left media.
Also, please understand that SO often the real issue these people have is that they just want to say something inappropriate. They don't like being told they can't say "fag", so they'd say it for a reaction, just like a teenager would.
Shut down the conversation without reacting.
"His dick, not mine" will get you much further to shutting that guy down than "well it's really inappropriate to call someone a slur while I'm the job site".
And that's the point. To shut them up. To make them quit saying shit like that. The first one makes him seem kinda weird for caring about what that guy does with his dick. The second one gives him something to fight against and make a big deal about.
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I was thinking of reblogging this again just because the original video is still amazing, but then I see the second video and lost my mind. The upgraded fan, the body glitter, the sheer fact that he got to do this with the actual singer.
like, the most compelling ships for me always stem out of one thing: the characters have a profound, ongoing effect on each other’s senses of selves. when they are apart, the characters’ actions are still affected by each other. the way they approach the world changes because of the other.
which is this deeply Austenian view of ideal romantic relationships as mechanisms by which we come to know ourselves better and become better versions of ourselves. good romance, for me, is always tied in with a sense of self-actualization, and the way in which a beloved partner allows a person to know themselves better.
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.
here is your gentle reminder that there are dandelions growing through cracks in the sidewalk. there is a fence lizard on the porch who is growing a new tail. there are trees growing through an abandoned house, branches tearing through the ceiling, ferns carpeting the floor. there is life pushing forward, pushing through.
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At Toba aquarium in Japan, after closing time, some clever little otter pups help their grandpa tidy up their toys. As a reward, he gives them ice cubes
[Video description: Gritty is turning the crank on a flagpole to raise the Progress Pride Flag. He gesticulates angrily that the flag is not blowing in the wind, then gestures offscreen. The flag begins blowing. As Gritty begins raising the flag more, the camera pans out to show a man in a suit and sunglasses, looking like a stern Secret Service agent, is holding a leafblower that points at the flag. End description.]