At the beginning this blog was for theories and character analysis. But with time I wanted to share everything I love like nature, quote…
So you will find writing and drawing tips but also inspiration with architecture, landscapes and fashion (which is for everything related to clothes and accessories).
Sometimes I share my writing, but also art, fanart and comics from other artists.
If you want to find something in particular you can type the fandom like young justice or miraculous ladybug, the full name of a character, their hero name or a ship name.
If you just scroll my blog you will guess my hyperfixated periods xD
The header is by @wasabe777 so go see their art! It's awesome!
Trying to avoid spoilers while your actively reading smth is top 10 hardest things because I'll post something like "Oh nina and euini are spiritually the same" and tag it with spoilers cause it def is to anime watchers but then Tumblr shows me more stuff related to "witch hat atelier spoilers" and now I know that Qifrey is turning into a tree
This Pride, let's remember our roots. Pride started as a riot against discrimination, oppression, and police brutality. Our rights are being taken away, and the only way we'll get them back is to stand up for ourselves.
Me: *Removes my cat from my lap to do something else.*
My cat: Father is...evil? Father is unyielding? Father is incapable of love? I am running away. I am packing my little rucksack and going out to explore the world as a lone vagabond. I can no longer thrive in this household.
I am so incredibly glad we finally moved on from "i can has". Cats are clearly smart enough for advanced sentence structure and dumb enough to draw entirely incorrect conclusions about what they're talking about.
My cat, banging the cabnet door over and over and over: bang bang bang
Me: you will not earn what you desire by banging the cabinet door.
My cat: This is a test of wills, is it not? We shall see if your ability to put up with my incessant banging outlasts my eternal lust for snackie treats. Years of conditioning have hardened me for this purpose. bang bang bang
Me: ksst!
My cat, throwing herself to the ground like she's been shot: Oh! Oh I have been assailed in my own home! Have mercy, have pity! Surely in the cruel darkness of your heart there is some mote of goodness that might stay your hand! Do not strike me, I pray you!
Me: ok
My cat, after waiting about 3 minutes: bang bang bang
the ADHD writer's guide to actually finishing a draft (no, seriously) 📝
okay, tumblr, writers... we need to TALK about how to actually finish a damn draft when your executive functioning decided to pack its bags and leave for a permanent vacation in the bahamas.
i'm not here to give you that basic "just set a timer!" advice that makes me want to throw my laptop into the sun. we all know those productivity hacks that work for neurotypicals make us want to scream into the void. (been there, screamed that.)
so here's the ACTUAL guide from someone who's written three novels while her brain was actively trying to sabotage her the entire time.
FIRST: accept that linear writing is a capitalist construct designed to torture us.
i'm serious. whoever decided writers should start at chapter 1 and proceed neatly to THE END clearly didn't have dopamine playing hide-and-seek in their prefrontal cortex.
write whatever scene has your brain chemicals SINGING today. that climactic fight scene that's six chapters away? the tender moment between your characters that happens in the middle? WRITE IT NOW while your brain is actually interested. i have finished entire novels by writing them in chunks and stitching them together like the beautiful frankenstein's monster they are.
SECOND: the 10-minute lie (that actually works???)
tell yourself you're only going to write for 10 minutes. that's it. no pressure. your adhd brain can handle anything for 10 minutes, right? the secret is that once you start, momentum becomes your best friend. sometimes you'll actually stop at 10 minutes (congrats, you still wrote something!) but often you'll look up and realize it's been two hours and you've written 2,000 words. and yes i've seen this a lot, like everywhere, where they tell you "set a timer for 5, and by the time you realize it's 2 hours" i've seen this many times before, and it actually works. at first i thought it didn't but boy, i was wrong.
THIRD: use your hyperfixation powers for good, not evil.
we all know that adhd comes with the superpower of becoming obsessed with random things for unpredictable amounts of time. WEAPONIZE THIS. create artificial urgency around your project. tell people about your deadline. make elaborate aesthetic pinterest boards. create a spotify playlist that you only listen to while writing this specific project. trick your brain into making your WIP the shiny new hyperfixation.
FOURTH: body-doubling saved my writing career and it can save yours too.
find another writer friend (or any friend who needs to do focused work) and sit together - virtually or physically - while you both work. something about having another human witnessing your work process bypasses the executive dysfunction. i swear it's actual magic. discord writing sprints, zoom sessions with cameras off but mics on - whatever works.
FIFTH: embrace the chaos of your natural writing cycle.
some days you'll write 5,000 words in a frenzy at 3am. other days you'll stare at the document for an hour and write "the." BOTH ARE VALID WRITING DAYS. the only consistency we need is returning to the document, not some arbitrary daily word count.
SIXTH: create external accountability that doesn't make you want to die.
deadlines from publishers? great. deadlines you set for yourself? your brain laughs and says "or what?" find the sweet spot - maybe it's a writing buddy you check in with, maybe it's a public progress tracker, maybe it's promising your sister you'll take her to dinner when you finish a chapter.
SEVENTH: the frankendraft approach.
your first draft DOES NOT need to be good, coherent, or even make sense. it just needs to exist. leave yourself notes like [FIGURE OUT HOW SHE GETS FROM THE CASTLE TO THE BEACH LATER] and keep moving. your adhd brain will thank you for not getting stuck in research rabbit holes for six hours.
EIGHTH: find your optimal writing environment through shameless trial and error.
maybe you need complete silence. maybe you need to be in a coffee shop with specific ambient noise. maybe you need to write standing up. maybe you need to dictate your novel while pacing around your apartment. there is no wrong way to get the words out.
i personally write best when i'm slightly uncomfortable (weird, i know) so i often end up writing while sitting on my kitchen floor with my laptop balanced on a chair. whatever works, bestie. a finished messy draft is infinitely more valuable than the perfect novel still trapped in your head. your adhd brain is simultaneously your greatest challenge and your greatest asset as a writer. the connections you make, the unique perspectives, the creativity - all of that comes from the same place as the struggles.
you've got this. now go write something, even if it's just for 10 minutes. i believe in you. ✨ -rin t.
✦ A free (and actually helpful) guide to leveling up your first 10 pages ✦If you're unsure whether your opening is ✨doing enough✨ to hook re
A gothic prompt pack for writers who love cursed universities, secret societies, and scholarly rot.✎ Write the Darkness ✎A 75-prompt horror
the “sexy lamp test” but for disabled folks: if you can replace your disabled character with a beloved pet dog that needs an expensive surgery to survive then you have to throw out your manuscript
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 see a lot of talk on twitter of people who apparently want Sakura's father to show up in the Red Chanpuru arc for some reason. As if that horrible man appearing is the only way for Sakura to face his trauma head on.
And I'm confused, because right now Sakura is facing one of the worst fears that came from his trauma and was the one that made it hard for him to accept he was loved, and it was people abandoning him, so essentially, Suo leaving the way he did and it being revealed he was part from another gang all along was a direct hit to Sakura's trauma.
This arc is already about it, and I know for a fact Nii-sensei is about to cook some complicated dynamics in Red Chanpuru for Suo.
The potential for finally getting our parallels from the keel and Gravel arcs with Nagato and Shizuka, even Suzuri, the very clear chance for Sakura to be the one to reassure Suo that he belongs with them and he can rely on them now like Suo did for him during the Noroshi arc. Nirei finally getting to step in and tell Suo they want hin there, to be the one reassuring him instead of the other way around.
We might get Umemiya telling Suo he "doesn't have to forgive them" like he did to Kotoha, or even Sakura himself "you don't owe them anything".
The way some people still fail to understand that no matter the arc, Sakura is the MC and he learns from every single arc, that they intersect with his trauma and his growth.
I honestly don't think Sakura's father being present in the arc would contribute anything, in fact, I think it would be quite absurd. And maybe part of that is people wanting for Suo and Sakura to be connected somehow, that Sakura's father would be part of Bankoku-Gai, but they're not even from the zone close by.
I honestly think Sakura's father being directly implicated in this arc wouldn't be good writing. Sakura's father is supposed to be a figure that haunts Sakura's narrative but is never physically present.
And honestly, I don't know why it's so hard for people to understand that Suo is smart enough to put two and two together and guess who the new student is, because he clearly keeps an eye on everything happening in Makochi as much as he can, and the moment he decided to join Furin he was probably analysing everything. It really is not that hard for him to figure that the only kid whose name he hadn't heard before was the clear outsider who stands out with a unique appearance he saw in the street fight.
Suo wouldn't join Furin for Sakura, he legitimately was attending school in Makochi since he was 12, and he enrolled in Furin before anyone even knew of Sakura's existence, because he came into town like 2 days before classes started.
Why is it so hard for people to grasp the idea that Suo helped Sakura because he's kind and helpful like that and he might have recognised parts of himself in Sakura. Why does it have to be some convoluted "Sakura's father sent him there to watch over Sakura" (the man who hates his son wouldn't do that to start with), "Red Chanpuru was interested in Furin" (in a gang 2 hours away that is just interested in their own town? They wouldn't even be on their radar please) or some other convoluted bs I've seen.
Why did Suo have to have an ulterior motive to join Furin? I legitimately think he just wanted to protect and saw Furin had changed, because remember he was in Makochi pre-Furin change, and he genuinely experienced freedom and joy there but he just has a duty with Red Chanpuru. I'm sure Suo just wanted to experience the world outside of Bankoku-Gai but he never expected to get so attached.
i purposefully wrote this post before i actually looked it up and am immensely frustrated that it is the much more common third option, "sometimes you just name stuff"
yknow, jack, who lifts stuff up for me, and jimmy, who pries stuff up for me in secret
text: [ “Some of you have forgotten that only three years ago you were perfectly capable of writing an essay, writing a eulogy, telling a bedtime story to a child, and it should worry you that powerful companies have convinced us we can’t do things we’ve been doing for 5000 years.” ]
And they're absolutely specifically pushing it, make no mistake. It's not just a matter of "it's there, it's convenient, so people are going to take the path of the least resistance", it is a legitimate and concerted effort on the part of these companies to get people to outsource all these things to their models.
They're preying on insecurities to do it. Yes, you can write an essay - but can you write a good essay, they ask you. Do you not want to improve your output? Do you not want people to think of you as competent and very clever? Why go through the mortifying process of failing and failing and failing until you succeed if you can just skip the "learning" part of doing, and simply generate a ready-made product?
I'm preaching to the choir here obviously but it's a concerning thing to witness nonetheless. My kid is 6 next week and I've been teaching her that failing at things is morally neutral and in fact necessary even before the advent of AI, but it's becoming ever more important that we teach the kids that criticism and failure and discomfort aren't necessarily bad things, but just a part of the growth process.
AI companies are heavily invested in making themselves relevant. They want people to believe they can't do the things they have done unaided before and to make them become reliant on the AI models, so the AI models' existence is artificially justified.
