I know this is a jokey post (rip OPs notes) but a fursona is typically an animal REPRESENTATION of YOURSELF, not an external animal that is strongly meaningful to you and your life/journey.
I've seen daemon and familiar proposed, but to keep in line with the cursedness of the original post, may I suggest: spiritual tamagotchi
i wish we were able to talk about women's rights without someone mentioning how much they do or don't want to have sex with them. i don't care if you're a lesbian Stop finding worth in women purely from their perceived attractiveness
"I think women should not be expected to shave for societal respect / to avoid discrimination" "yeah🤤 i love bush" ok well that's not what we're talking about is it.
i hate how many posts about trans women deserving respect always devolve into "I love girldick" or "trans rights but I don't want to date a trans person" because that's entirely unrelated to the topic at hand. you should not respond to feminism with "YESSS I loveeee you because I see you as nothing but a sex object" you people sound like other men I get stuck talking with that end up saying "free the nipple so I can see boobies in public" and thinking they're feminists. why can't we just respect women regardless of your attraction to them or not. why does it need to be brought up in every conversation regarding their rights
So this is not a plea for money. This is something that surprised me, and chatting with people on discord, they were unaware of as well.
Discovered last year I couldn’t look at my 2015 MacBook Air without it triggering nausea and migraines, and figured the screen died. Have been getting by on my phone, but concluded I really need a laptop again.
Saved up, realised I could afford a brand new MacBook Neo, and got one.
-And I couldn’t spend more than five minutes looking at the screen without massive eye strain, nausea, vertigo, and if I pushed it, I-need-to-lie-down-in-a-dark-room-for-hours migraines.
Looking up MacBook and Eyestrain explained what is going on. The liquid retina displays that Apple currently has uses Pulse Width Modulation or PWM. In order to give the screens a deeper depth of colour and contrast, PWM flickers between several hundred to thousand times a second.
And there is currently no way to turn it off. There are settings and apps to reduce it, but there is no way to stop the screen from flickering. Checked Apple forums, called Apple Support, and the time I could look at the screen kept shrinking. Got the laptop Tuesday, returned it Friday, today is Sunday and I’m still dealing with a vertigo migraine.
For MacBooks, it seems to vary on the computer model and the software it uses. In retrospect, the issue with my MacBook Air started after a major software update.
And it’s not just an Apple thing. Current Windows and Android screens do the same thing. There’s even a Reddit for people who are sensitive to PWM flickers to help find computers and screens that won’t trigger eyestrain and headaches.
So, yeah. This week has been a learning experience. But for those who are prone to headaches and migraines, this may be something to be aware of, cause I was not.
fighting for my asexual brethren, if you think someone who is asexual isn't a part of the LGBTQ community get the fuck off my blog. Including you, people who think cishet aces don't count. Fuck you especially you're no better than the acephobic people. Yeah. I said it. You suck too. But, aces. Asexuals, all of you, I love you. I love aces who have multiple queer labels, I love aces who are straight and cisgender. I love you guys. I love aces who have sex and aces who want to throw up at the thought of it. I love everyone in between and I think no matter what you should be accepted for who you are. We all are surrounded in a world faced by purity culture but also faced with a constant push for sex and romance and blah blah blah, who cares. Aces, live how you want. Be yourselves. Do not let others push you down, do not let people push you out from this community. You are a part of us. Anyone who says different doesn't know shit. I love you aces. I'm sorry if others don't. I will love you through every bad thing that has been said or has happened to you to get you here. Happy pride month. Celebrate who you are and who you will become. I love you all.
link to a post like this about aromantics too! Because I love both <3 /gen
quarterly reminder that if i reblog something ai-generated it is 110% and always an accident and for the love of god please tell me so i can delete it from my blog
we bought a shirt at a thrift store that says "best mom in louisiana" for some reason (as a reminder we are in midwest germany) and now my spouse keeps walking around the house wearing it and saying shit like "WHO STANDS BEFORE THE GREATEST MOM OF LOUISIANA?"
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 just went looking for the post on X and got a message that it didn't exist
I searched for Guri Singh and got search results showing his account existed, but when I clicked on it I got a message his account did not exist
Does anyone know if he made his account private or if he got nuked by Elon? Or do I just suck at X (because I never go there)?
gummygunk
2087
turnnoffyourmind
romaincrisis
