Hi! I'm Pen, a Tumblr returnee. I was a lurker and never quite got a handle on the etiquette before I deleted my account years ago, so forgive me if I miss any unspoken rules—I probably don't know about them yet.
My main topic here is Jelsa, but I cycle through a lot of old and nostalgic fandoms a lot of which are small, dead, or both and the occasional new one... sometimes
WIP: The Barriers In Between (Jelsa fic on ao3 under same username)
it’s not weird to find fanfiction from 2021, or 2017, or 2014 that you’ve never read and actually taking your time to read it.
it’s not weird to love it and comment and leave kudos because the author will probably still see it someday and it will make them happy.
it’s not weird to like said author’s work so much that you want to go look for other fics from them.
it’s not weird to go through the authors profile and look for other fics from the ships you like (or maybe some that you’ll give a chance because you liked the author) and maybe bookmark them for later.
it’s not weird to read these other fics and like them too and comment on them because you actually like them and you want to let the author know.
it’s not weird to read fanfiction from 5, or 8, or 10 years ago and actually enjoy and engage with it because it’s perfectly normal to relate to something that’s less than a decade old!
let’s stop treating fanfiction like they’re instagram posts that stop being interesting in 24 hours! fanfiction is NOT social media, fanfiction is art!!! and art doesn’t get old in one day, one year, or even a decade!
read fanfiction! write fanfiction! comment on fanfiction! let’s not let fanculture die people!!!!!
Not only is it not weird, it is ACTIVELY ENCOURAGED. Authors LOVE IT when people do this!!! Its not "weird" and its not "neutral" -- its a fucking DELIGHT. Feel very absolutely free to read though an author's entire back catalogue, leaving kudos and/or comments along the way; we absolutely freaking love when someone does this. There is nothing more joyful than getting a comment notification for an old fic. It will make our day, I promise.
There needs to be a special word for the warm, gratifying feeling that you get when you watch someone kudos everything you've ever written in a specific fandom in backwards order over 3 days. and that word needs a modifier to express the inexpressible joy when they start leaving comments on every story no matter how old it is.
So what I think is that there's this default belief in patriarchy that men are superior to women and therefore the "masculine" sphere is superior to the "feminine" sphere. And so, as feminists have fought to expand the number of allowable female activities, men (on the aggregate over generations) have retreated from those activities because they're now seen as "feminine", and so partaking in them is incommensurate with their belief in their own superiority. And, unfortunately, as this has progressed, this has resulted in a lot of men sectioning themselves off from, frankly, everything that actually makes being alive worthwhile. It's a misery spiral, and the only way out is to abandon male supremacy.
#men gave up deep friendships and reading and poetry and colourful fashion#all things that used to be considered manly in the 19th century#they're currently giving up on studying law and medecine#it's so stupid and sad
(I mean, the colourful fashion was more of an eighteenth century thing, but yeah)
#more women in higher education meaning fewer men is incredibly depressing to me. funny in a sad way#what happens when women will finally get into trades? will they just stop working
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)?
History is a spiral because what do you mean I'm getting sucked into another crossover universe??? Ye olde ROTBTD + Jelsa obsession seems to have made the slope towards the Ryan Gosling (+ Iron Lung) Crossover Universe extra slippery??? I haven't even watched Iron Lung or Fall Guy or The Gray Man(?) but. The ao3 fics are open. It is too late now. I don't know these guys and I am not inclined to watch the other movies but I'll probably be convinced to love the fanon versions of them anyways
Honestly, Tvyek is pretty miraculous. It’s permeable to water vapor but not to water, it’s nearly impossible to tear, but can be easily cut. It’s cheap and made entirely without binding chemicals. In addition to being used for wristbands, it’s used to wrap construction sites to keep out water during construction, for tear-resistant envelopes at Fed-Ex, coveralls for mechanics, and my wallet, actually.
Fun tip, though it looks like paper, Tyvek is plastic, and cannot be recycled with paper.
do you ever think about how if you dive into the ocean and go deeper and deeper you will pass through layers of darker and darker blue until everything is black and cold and the pressure will be so intense that it will kill you without protection but if you keep going you will find little glowing specks of light, and if you go up into the sky and go higher and higher you will pass through layers of darker and darker blue until everything is black and cold and the pressure will be so intense that it will kill you without protection but if you keep going you will find little glowing specks of light
ao3 changing their header to omega from beta as an April Fools, then the next day instead of switching the header back they announce they're officially no longer in beta anymore is absolute peak 👌
AO3 is exiting open beta! Learn more about how far we've come since launching open beta, our future plans for improvement, and what you can do to contribute at https://otw-news.org/4w2dn3tc
just a heads-up to my followers and fellow filipino tumblrinas:
tumblr got banned by the Philippine government because of claims that it's a gambling site (lmao??)
some internet service providers won't let you access the site and some do, but rn i dont have a complete list (im currently using DITO and as you can see, it's working)
if you know someone who's having trouble accessing tumblr and can't see this, please tell them that their options are a) use mobile data instead of wifi or b) use a vpn
Sphere = the ideal shape for maximizing internal volume with minimum surface area, thus best shape for not lose heat. Sphere stay warm! Sticky outy bits get cold!!
