Hey, dearies! I decided to put a masterlist for all the fanfiction I've written, separated by ship/pairing and categorized stand-alone (one-shot, multichapter) and/or series.
** By clicking on the asterisk (✴) next to some stories, you can go to their translation in Spanish **
» Braime «
❇ Stand-alone
One-shots
Haunted ~ Jaime x Brienne Fic Exchange 2021
Teen | no warnings | modern setting au, fluff, supernatural elements
You Shook Me All Night Long (✴)
Explicit |tw sexual content | double drabble | smut
The Blue Lioness (✴)
General | no warnings | fluff, tv canon divergence
Multi-chapters
Love Doesn't Discriminate Between the Sinners and the Saints ~ Braime Appreciation Week 2020
Explicit | tw sexual content | smut, BDSM, modern setting
Made for You ~ Jaime x Brienne Fic Exchange 2020
Teen | no warnings | arranged marriage au, modern setting
❇ Series
Against All Odds
Mature/Explicit | *tw sexual content | arranged marriage au, canon era, angst, fluff, smut
Against All Odds (✴)
Duty of Love (✴)
A Man Without Honor (✴)
Guardian of His Dreams * (✴)
(Olicity and Karamel fics under the cut)
Star Wars content HERE.
» Olicity «
❇ Stand-alone
One-shot
My Smoak Girl ~ Olicity Clue Challenge 1
Teen | no warnings | fluff, alternate universe
The Untold Truth of the Nutcracker ~ Goodbye Olicity Online Gift Exchange
General | no warnings | nutcracker au, fluff
Are You Wearing My Shirt?
General | no warnings | idiots in love, UST, pinning
The Missing Puzzle Piece (co-written with @tdgal1 )
Explicit | tw sexual content | fluff, smut
Hushed Rendezvous ~ Olicity Valentine's Day Smut-a-thon 2018
the way the internet talks about japan is fascinating i never see any other country get equally treated as both a beautiful cultured utopia and an evil imperialist hellhole. you ever just wanna be like hey guys i think japan might be a country. a normal country with good and bad aspects. has anyone thought of this. could be huge.
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)?
@jubs here, today, to tell you about a feature we're building: Comments by author!
Comments (or replies) have been around for a while, but they have always been tucked away from your regular feed, and so we're working on a few ways to integrate them into the rest of our experience.
Soon, blogs will have a Comments tab alongside Posts, Likes, and Following. There, you will be able to see posts other people have been commenting on, and, more importantly, find your own comments! This was not possible before, except through notifications if someone engaged with your comment.
We're also working on a way to surface posts commented on by people you follow in your feeds. You will be able to find those in the For You tab, and later, alongside chronological posts in the Following tab.
So, how do you identify those posts in the feeds?
Replied posts will show a small preview right there in your dashboard, before you click anything.
This is not out yet, but soon! In the meantime, tell us what you think and expect from this! ☺︎
First of all, thank you all for the feedback in the original post!
Today, we're launching the new "Comments" tab for Blog pages, and we'll be testing a For You recommendation based on comments from people you follow. The posts will have a preview of the reply, so you know why you're seeing that post.
You will be able to control the new tab visibility, and whether we should include your comments in your follower's feeds, through a new setting:
The toggle can be found on https://www.tumblr.com/settings/blog/YOUR_BLOG or in the General Settings > Replies section, on Mobile. If you have already disabled the "Share posts you like" setting, the setting will default to disabled.
The new tab is only available on Web and iOS (44.8+) for now, but the toggle is available to everyone (including on Android), so you can control what other people see on your blogs, even if you don't have the new feature yet. Don't worry, we have plans to implement the tab and posts on Android, soon!
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We want to later include these replied posts to the Following feed as well, and we're planning on adapting the current "Include posts liked by the blogs you follow" toggle to also consider comments, in case you don't want to see shared comments from people you follow.
What do you think? As always, we appreciate your thoughts, keep 'em coming!
Jason Todd Week 2026 will run August 16th (Jason's birthday!) to August 22nd!
Prompts and more information below the cut.
Prompts
Day 1: Competent Jason Todd | Star Sapphire/Lantern Jason | Promise
Day 2: Dimension Travel | Different Mentor AU | Pre-Crisis Jason Todd
Day 3: “Do you even like me? Like, as a person?” | Truth Serum/Spell | Undercover
Day 4: Someone Kills Joker for Jason | Theater Kid Jason Todd | Funeral
Day 5: Batarang Scar Reveal | The All-Blades | Jason Todd’s (Many) Parents
Day 6: Jason Todd is Good with Kids | Jason Lives AU | Choice
Day 7: Crime Alley Loves Jason/Red Hood | Fantasy AU | FREE PROMPT
Substitute Prompts: “What, so Batman’s evil now?” / “Has been for a while, thanks for noticing.”* | Jason Todd Kills the Joker | “This Jason Todd is an unknown entity. We do not know what force has returned him from beyond.” | Survival
*Here, the "/" indicates the separation between two characters' dialogue.
There will be three aspects to this event:
The main part is the prompt challenge, where you create a fanwork for a day. You can use one, two, or three of a day's prompts—it's up to you! If you don't like any of the given prompts for a day, you can substitute one of the Substitute Prompts. In general, you can interpret each prompt however loosely you want, and for quote prompts, you definitely don't have to use the exact quote. If you want make something for Jason Todd Week that doesn't fit any of the prompts, don't panic! You can use the "FREE PROMPT" on the final day to post any Jason Todd work you want. Each prompt also has a song corresponding to it in the playlist. There is also a playlist guide so that you can know what songs there are if you don't use Spotify or YouTube.
The secondary aspect is another opportunity to participate if you don't feel comfortable creating art, writing, or other media. Each day of the week, there will be a be an open-ended question about your opinions/ideas related to Jason Todd that you can respond to. For example, "What is your favorite Jason Todd headcanon?"
Finally, based on the results of the poll on the suggestion form, each day there will be a (completely optional!) commenting scavenger hunt to encourage interaction and finding new people/fanworks. See this post for more details!
If you post on Tumblr, you can use the tag #jasontoddweek2026 or @ this blog (@jason-todd-week). There's also an AO3 collection (JasonToddWeek2026).
For your filtering, this blog will tag reblogs with #reblogs, the day, the prompt(s), media type, any non-Jason characters, any romantic or sexual ships (with full character name/full character name as well as ship name if I know it), and any warnings. Anything explicit will be tagged #explicit. Example: #reblogs #day 6 #scars #enemy to caretaker #fic #tim drake #gun violence. Please filter out tags you don’t want to see.
Because I am not able to read/see every work posted (due to time constraints and personal boundaries), some warnings or characters may be untagged if they are not in the original post’s tags.
Dick, Jason, Tim, Cass, and Damian all get deaged and it’s a nightmare.
Dick is deaged to a point where he’s Robin with Batman, and luckily he remembers that. Unfortunately, he’s not thrilled by the idea that he gets siblings in the future. Therefore he hates everyone else’s guts.
Jason and Tim aren’t Robin yet and really want to go home to their parents. So Bruce is left with a dilemma of either telling them their parents are dead or letting them think that Bruce Wayne kidnapped them.
While Jason is not happy with that, Tim is awestruck. At this point he does know Bruce’s really identity along with Dicks, so he’s following Dick around like a lost duckling. Like I said, Dick hates Tim and just wants him gone and purposefully hides from Tim to be mean.
Cass. Poor Cass gets accidentally forgotten about in the chaos. She fully trained to blend in and not be seen or heard. She won’t do anything unless given permission, not even move. Bruce tries to get her to play, but she mostly just holds toys or does very basic things with them.
Damian is just a baby, but he’s so so clingy. Which doesn’t mesh well with Dick also being possessive over Bruce. Damian will cry if he is put down and will fuss if he’s in anyone else’s arms other than Bruce’s. This makes dealing with the others extremely hard.
Bruce tries his hardest but he’s so ready for his real kids back 2 days in.
Just realized that the reason I love making friends on tumblr is because it’s exactly how you make friends on the playground as a six year old. No, I don’t know their name but they love mermaids too and built this awesome sand castle. No, I don’t know their age but their imaginary cheetah is friends with mine. You like this show? You like this character?? You can sing the theme song really loud??? Here is a flower crown. Here is a juice box. You can share my time and I might never see you again but part of you stays in my soul forever. In my mind we’re still on the swing set and the sky is blue and nothing will ever be wrong again.
