They might suffer. They might take their knocks, but Wylan was right, in the end they were all supposed to stay standing.
"No mourners" Jesper said, surprised by the ache of tears in his throat.
"No funerals" they all replied softly.
Chat, is it considered “abusive roommate behavior” to release a raccoon into the living space after you have asked your roommate for months to please clean up their messes (they do not pay any of the mortgage)
For context, when I used to live alone I would do something called “Princess Time” where I would do an initial sweep (to remove any significant hazards) and then I would release a raccoon into the living area and clean. This helped because I would 1) feel like a princess and 2) the raccoon would bring attention to things my ADHD brain had decided to ignore and I’d quickly clean that stuff up.
So like, if I’m expected to clean the house now, I will be doing it in the way that is most effective for me. And anything that has not been cleaned up after months of having sit-down talks and sending reminders and being promised things will change, might be deemed “trash” by the trash panda and thrown away.
We haven’t done since we moved into the house, because I didn’t want to cause my roommate or their cats destress or have their things destroyed by a raccoon
I am a raccoon biologist and one of the few people in the state allowed to take in captive bred raccoons that had been possessed illegally. The raccoon in the photos is Moonshine, but she is currently at the animal sanctuary where I work as I had been quarantining multiple new intakes from an abuse case. I still have two males (Rum Tum Tugger and Electra) left in my home enclosure as we are getting them neutered and then hopefully sending them to an AZA accredited zoo.
I wanna make things very clear that underneath all the whimsy, I am a trained professional.
The way all the 2020s have done so far have been making me categorically against every new generation of tech that comes out is insane. Like I'm from a technological boom generation, saw the first portable phones, nokias & blackberries & flipphones etc, and the first smartphones, and the first ipods & ipads & tablets in general while still having cassettes & DVD & MP3 players around so I know how all of it work, I had computer classes in high school, I did the transition between home desktop computers to laptops and back to gaming computers. But then they started to put internet in your printer & microwave, everything has ads & AI now and every update is worst than the last. I literally loved technology and they ruined it
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'm 45 today, which honestly sounds insane, so I thought I'd make a post about the stuff that's been bringing me joy lately 😊 I really need to find a new job but apart from that Life has been really, really good to me and I am incredibly grateful. God knows it hasn't always been a bed of roses but the older I get, the easier it becomes to focus on what's important to me and keep the bad things out. I love the quiet inconsequential life I have carved out for myself, and I never take the love I am surrounded with for granted 🙏🌱
Legal experts say employers must take AI-related religious objections seriously, as a 2023 ruling raised the bar for denying such accommodat
"The funniest possible outcome of the AI mandate era is about to be HR departments discovering that 'sincerely held religious belief' under Title VII has a much lower bar than they assumed, and Pope Leo handed every Catholic employee a written excuse," wrote Corey Quinn, a software-startup founder in San Francisco, on X.
Employers could wind up in court if they outright dismiss workers who request a faith-based exemption from using AI, said Ashley Herd, a former McKinsey counsel and head of North American HR who now advises managers and employers on workplace issues.
"Playing priest, and telling employees their request isn't legitimate, does not tend to bode well for companies," said Herd, also a cohost of the "HR Besties" podcast. "A jury doesn't like it when employees get made fun of by managers or HR."
I know the ethics of AI on archival footage are an absolute minefield, and indeed any kind of retouching is, but you have to admit this video with smoothing, color and sound added is just mesmerizing. Of course this is nothing in the face of a momentous, dedicated project like They Shall Not Grow Old, but still.
As a european i sometimes forget furefkied are actually real and not american folklore/cryptids. Like you’ve got friendly little bugs that glow in the dark….. b r uh
in case europeans were worried: we love them very much! even tho they’re clumsy and slow and sometimes bump into you, no one swats fireflies here, or takes them for granted. even grownups sometimes reach out in the summer and gently catch a firefly for a minute before letting it go.
By “reach out” that’s meant quite literally–you just kinda. Stick your hand in their flight path and they land on you and will sit on your hand for a bit. Sometimes if you’re just walking or standing outside while they’re active you have to shoo them off you because they’ll just. Sit on you.
They’re harmless and very pretty and it’s always a treat to see because they’re out for a relatively short time each year.
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