Writery Things

Writer and lover of stories, cats, books, and lots of random crap that usually has something to do with cats. Lots of writing things but also lots of non-writer things that may or may not be relevant in some way but probably not. My cat's name is Ciri.

[justalurkr]

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.

[irispurpurea]

This is the paper. It's excellent, highly recommend reading it.

I remember reading about Gebru's firing but I had no idea this was the paper she was fired over.

[durnesque-esque]

Just a quick grab for some of what's being discussed:

"4. UNFATHOMABLE TRAINING DATA The size of data available on the web has enabled deep learning models to achieve high accuracy on specific benchmarks in NLP and computer vision applications. However, in both application areas, the training data has been shown to have problematic characteristics [18, 38, 42, 47, 61] resulting in models that encode stereotypical and derogatory associations along gender, race, ethnicity, and disability status [11, 12, 69, 69, 132, 132, 157]. In this section, we discuss how large, uncurated, Internet-based datasets encode the dominant/hegemonic view, which further harms people at the margins, and recommend significant resource allocation towards dataset curation and documentation practices."

"6. STOCHASTIC PARROTS In this section, we explore the ways in which the factors laid out in §4 and §5 — the tendency of training data ingested from the Internet to encode hegemonic worldviews, the tendency of LMs to amplify biases and other issues in the training data, and the tendency of researchers and other people to mistake LM-driven performance gains for actual natural language understanding — present real-world risks of harm, as these technologies are deployed. After exploring some reasons why humans mistake LM output for meaningful text, we turn to the risks and harms from deploying such a model at scale. We find that the mix of human biases and seemingly coherent language heightens the potential for automation bias, deliberate misuse, and amplification of a hegemonic worldview."

[beholdingslut]

in absolute tears about the pride module at my work

[dikdikpronouncedxylophone]

[bigfoots-biggest-fan]

HOLY SHIT GUYS, I WAS INSPIRED BY THIS POST TO TRY MAKE THE SONG AND YOU WOULD NOT BELIEVE THE SCREAM I SCRUMPT WHEN I DRAGGED THE TRAINING AUDIO OVER THE BACKING TRACK AND IT LINED UP PERFECTLY

Visit Original Link

Tempted to actually put this on spotify so I can secretly stream it at work...

Tagging @batshit-auspol because as an Australian you're the only big account I know who might share (sorry).

[punkrorschach]

happy first day of pride everyone

[gobloggirl]

[should-be-sleeping]

[guzhufuren]

A Guide to Some of the Best Queer Asian Shows

The guide includes a show’s basic summary; main genres/tropes/themes and official streaming links (additional info on how to watch at the end of this post)! You can find some content warnings in the reply section of this post. Shows are listed by countries, numbered by the order I recommend watching in, not by rating. All shows have happy endings unless specified otherwise. The list will hopefully be updated regularly (last updated on 04/04/2024, 98 queer shows in total).

Most shows are about mlm, I specify with coloured notes those that are focused on wlw, polyamory, aromantism/asexuality, etc.

Tumblr does not allow large texts or more than 30 images per post at the moment, so you can click on every country’s list to expand them and view them fully in a separate post. You can access this guide in a google doc here.

Thailand 🇹🇭 (full list here)

1. KinnPorsche mafia boss/bodyguard; action; kidnapper/kidnapee side couple

Kinn, a son of a prominent mafia head, is ambushed by an enemy, and meets Porsche, a bartender who comes to his rescue for a price, thus beginning their reluctant relationship as boss and bodyguard, which soon turns into something more.

iQIYI

2. Bed Friend friends with benefits; office setting; trauma

King and Uea work in the same office. After a company outing ends in a drunken hook-up between them, Uea and King agree to keep seeing each other on a strictly physical basis. With no strings attached, will these two be able to keep things between them simple and carefree or will their emotions eventually get the better of them?

Uncut 18+ on iQIYI or GagaOOLala or cut on YouTube

3. The Sign reincarnated lovers; fantasy; thai mythology; police

The story of the love between Phaya and Tharn who used to be mythological creatures Naga and Garuda in their past lives, and were forced apart. But fate intervened, and two men were reincarnated in new bodies. Now, they work together as partners in the Special Investigations Unit to uncover violent crimes and supernatural mysteries while their love is tested by mystical forces and past enemies.

YouTube

4. I Feel You Linger In The Air period drama; time travel; bittersweet

Jom, an architect overseeing the renovation of a rundown villa, continuously dreams of a man he's never met. When a twist of fate transports Jom to Chiang Mai in the 1920s, he assumes the role of a servant to the affluent young master Yai, the mysterious man from his dreams.

GagaOOLala or YouTube

5. You're My Sky sports; university setting; coming of age

Thorn, a young basketball player follows his senior Fah to university as a result of the promise they’d made — to become national basketball champions. However, to his dismay, he finds that Fah has already given up on basketball. --- Aai has to work in pairs throughout the semester with San, 1 year footballer; in order to receive a scholarship to study in Japan, Ai must be willing to do everything to get an A grade. --- Track running requires the compatibility of the team members to be very high. Vee, who became the new racquet 4, has to speed up training to fit in with the team as quickly as possible, especially with Dome, spending extra time together to train. Is love actually a major obstacle on the path of being an athlete?

Viki

> more tv shows from Thailand

GMMTV Thailand 🇹🇭 (full list here)

1. My School President high school setting; secret crush; school president/rebel musician

Gun is the head of his high school music club. Tinn is a school president and Gun's long-term rival. The Principal wants to disband some of the school’s “useless” after-school clubs, especially the music club. Per school rules, the student council president is the one who has the power to dissolve clubs. Gun is now at Tinn’s mercy, so he attempts to do whatever he can to persuade his rival not to cancel the music club. Little does he know, Tinn actually has a secret crush on him. Could romance brew as Gun makes a desperate attempt to secure the future of his band?

Viki (MSP) & YouTube (Our Skyy special 33-40) & YouTube (special)

2. Moonlight Chicken adult romance; age gap; deaf character

Jim is an ordinary guy running a chicken rice diner. One night, he meets Wen when he stays past closing drunk. Brought together by fate that night, intangible feelings arise. Neither can stop thinking about the other despite Jim's efforts to remain unattached. Jim also takes care of his nephew Li Ming, who is falling in love with Heart, a deaf teenager who is practically kept under house arrest by his affluent parents.

YouTube

3. Not Me revolution; freedom fighters; secret twins

When his twin Black is viciously attacked and subsequently left hospitalised in unconsciousness, White is unable to endure the harm done to his brother in silence. He learns Black was a part of a gang of anti-capitalist freedom fighters, and it was one of them who betrayed him. White disguises himself as Black to discover which one of them betrayed him and put him in a coma.

YouTube

4. 23.5 wlw; high school setting; secret admirer

Ongsa moves to a new school and meets Sun, a cute popular girl who she immediately falls for. However, she decides to approach Sun in instagram dms under the pseudonym Earth, leading Sun to believe she's talking to a guy. But Ongsa does not want to lose the opportunity to talk to Sun, so she decides to keep the fact that she is a girl a secret and continue talking as Earth.

YouTube

> more tv shows from GMMTV Thailand

Japan 🇯🇵 (full list here)

1. Cherry Magic!   mind reading; secret crush; office setting

By still being a vіrgin at 30, Adachi gains a magical power – the ability to read other people's minds by touching them. At first, he’s overwhelmed by his new ability, and it’s not proving to be helpful to him. But that all changes when he accidentally touches their office’s most perfect guy Kurosawa, who he learns has romantic feelings for him.

WeTV (Cherry Magic) & no international streaming of Cherry Magic The Movie is available to my knowledge, so watch on bilibili or KissKH

2. Kieta Hatsukoi (My Love Mix-Up!)   misunderstanding; high school setting

Aoki has a crush on Hashimoto, the girl in the seat next to him in class. But he despairs when he borrows her eraser and sees she's written the name of another boy — Ida — on it. To make matters more confusing, Ida sees Aoki holding that very eraser and thinks Aoki has a crush on him!

Viki

3. Our Dining Table food; child character

Salaryman Yutaka finds it difficult to share meals with other people. However, his life starts to change when one day, his cooking attracts the attention of a young boy named Tane and his older brother Minoru. The two brothers are impressed by Yutaka's cooking skill and invite him to their house to cook together. Yutaka's dreary life begins to change, and soon he finds himself looking forward to the meals he shares with the Ueda siblings together, as well as developing a taste for romantic feelings.

GagaOOLala

4. She Loves to Cook and She Loves to Eat wlw; neighbours; self-discovery; food

Nomoto loves to cook, but tends to make too much food and has no one to share it with. Luckily for her, turns out her neighbor Kasuga has a big enough appetite for the both of them.

No international streaming available, translated to english by Furritsubs, S1 & S2, watching instructions provided, please support translator on kofi.

5. Takara-kun to Amagi-kun high school setting; relationship exploration

Takara is a good-looking popular guy in class, while Amagi is a simple but bright and pure fellow classmate. The two begin to date in secret after Amagi's blurted out confession.

Viki or GagaOOLala

> more tv shows from Japan

China 🇨🇳 (full list here)

Most chinese shows are adapted from explicitly queer novels, the shows are undeniably and obviously queer, but nevertheless the queer romance part is censured. The only exception is number 4 on the list, it is not censored.

1. The Untamed period drama; fantasy

An epic fantasy led by a problem child who comes back from the dead 16 years later in order to fix the broken world he left behind — and finally unite with his soulmate.

YouTube

2. Word of Honor period drama; fantasy

The leader of assassin organisation Zhou Zishu quits his position in pursuit of freedom with drastic measures. In his travels, he meets Wen Kexing, the leader of Ghost Valley who wants nothing but revenge. The two become entangled in various machinations within the martial arts world, and eventually become soulmates instrumental in each other's redemption.

YouTube & Special Episode on Tumblr or DailyMotion

3. Couple of Mirrors wlw; period drama; socialite/assassin

You Yi is a kind-hearted socialite and a successful author. Her perfect life is turned upside-down when she discovers a betrayal by the two most trusted people in her life. With no one left to turn to, she finds refuge in the friendship and support of Yan Wei, a lonely female killer disguised as the owner of a photo studio.

YouTube. the show doesn’t have a happy ending, but it can be a happy ending for you if you stop watching at episode 12 timestamp 28:02.

4. Stay With Me enemies to lovers; high school setting; unconventional families; slow burn

Su Yu is a high school student who lives with his single poor father. Su Yu gets a new classmate Wu Bi. The two clash right from the start, and after getting off on the wrong foot, their explosive relationship takes a turn.

YouTube or GagaOOLala. the show doesn’t have a happy ending, but it can be a happy ending for you if you stop watching at episode 24 timestamp 05:00. OR watch the full thing and look at this post after

5. The Spirealm inside of a video game; mystery; fantasy; horror-ish; hopeful ending

A game designer Lin Qiushi is transported inside of a game he recently played, and now he must go through 12 horrifying survivor game doors to survive in the real world. Inside his first door he meets Ruan Nanzhu, a mysterious man who offers him to team up.

The show was taken down from streaming, download files here and subtitles here.

Various WLW mini web-dramas here.

Various WLW short films here.

South Korea 🇰🇷 (full list here)

1. Love for Love's Sake inside of a video game; high school setting; healing

At the age of 29 Tae Myungha finds himself transported into a fictional video game, and now 19 years old, he meets Cha Yeowoon, who is in the darkest moment of his life. And a translucent window appears where he receives a mission — to make Cha Yeowoon happy.

iQIYI (better subtitles) or GagaOOLala

2. Semantic Error enemies to lovers; university setting

A serious programmer and a rebellious artist clash over a school project. Their animosity keeps escalating to new extremes, defined by petty pranks and feisty arguments.

Viki

3. Love Tractor farm setting; farmer/city musician

Sunyeol, a city man with zero ability to survive in the countryside, comes to his grandfather's rural home. In front of him appears Yechan, a passionate and kind young farmer. While learning about rural life and assisting with farming tasks, Sunyeol gradually finds himself drawn to Yechan's warm and straightforward nature, while Yechan helplessly falls for Sunyeol.

iQIYI

4. Our Dating Sim high school friends to lovers; office setting

After 7 years, Lee Wan meets his first love, Shin Kitae, in a gaming company. When they were best friends in high school, Lee Wan was in love with Kitae. But he ran away and disappeared after confessing his feelings to Kitae after graduation. When the two of them begin working on a new dating simulation game and get more immersed in the project, old feelings are rekindled.

Viki or GagaOOLala

5. She Makes My Heart Flutter wlw; bar setting; niece and aunt dynamic

The extroverted Gang Seol is hired by her aunt Jung at her only-women bar. Even though they are both lesbians, they seem to be worlds apart and have very different love stories.

YouTube

> more tv shows from South Korea

Taiwan 🇹🇼 (full list here)

1. History3: Trapped mafia boss/policeman

The story of a police officer who becomes trapped in the underworld, as he develops feelings for a gang leader.

YouTube or Viki

2. Kiseki: Dear to Me mafia; age gap

Bai Zongyi, an exemplary high school student with dreams of becoming a doctor, is one day unexpectedly drawn into the world of a charismatic and mischievous gangster Fan Zerui, who blackmails him into taking him in and treating his wounds. Just as their love story begins to unfold, Fan Ze Rui's criminal life catches up with him. On the other hand, Chen Yi and Ai Di are two orphans who grew up in the gang together. Ai Di has always loved Chen Yi, but Chen Yi only notices their boss.

Viki or GagaOOLala or YouTube

3. My Tooth Your Love dentist/chef; trauma healing

Bai Lang is a successful bistro owner with an severe fear of visiting the dentist... until a toothache forces him to come face to face with the handsome yet cold dentist Jin Xunan.

Viki

4. Anti Reset android/human

When Chu Yi Ping, an emotionless man, dislocates his hand in an accident at school, his uncle gives him Ever 9 as a caretaker, an experimental intelligent robot that his company is secretly testing.

Viki or iQIYI or GagaOOLala

5. History2: Crossing the Line sports; high school setting

When an injury sidelines a high school senior from the volleyball team, he develops feelings for a recruit.

YouTube or Viki

> more tv shows from Taiwan

Philippines 🇵🇭

1. Sleep With Me wlw; radio; disabled character in a wheelchair

A science textbook writer with a sleep disorder meets a wheelchair-using radio host who runs the midnight shift. This chance encounter at the radio station quickly sparks their interest in each other.

GagaOOLala

---

You can watch many shows for free on YouTube, and watch others on the streaming websites by setting VPN to one of the countries in the list. In other cases I recommend paying for subscriptions to show appreciation and support of content in order to get more of it in the future, but if you can’t, watch on KissKH (better quality), Dramacool or get files from MkvDrama. Enjoy!  🏳️‍🌈🏳️‍⚧️

[erant91]

@kittymaiden

[jojotichakorn]

bro, i desperately need people to learn that romance is an actual, literal genre of fiction. if you do not like a complete focus on romance and only like romantic plotlines incorporated into various other plots - you do not like the romance genre and you are not interested in romance fiction. simple as that. and it's fine if you don't like it, but pretending like the entire genre doesn't exist and is actually all badly written fiction of other genres which is overly focused on romance is asinine. yet somehow continues being a sentiment i see all the time. romance fiction is not lacking in plot or over-concerned with romantic relationships - it's literally doing what it was designed to do: centers mostly or even exclusively around romance.

[valeriehalla]

I am so utterly fascinated by “Saki”, the 18-year-running mahjong manga in which you, the reader, become gradually, frog-boilingly aware (over the course of nearly two decades’ worth of mahjong tournaments) that none of these girls are wearing underwear and most of their boobs are slowly expanding.

I need you to understand that I have, like, an anthropological level fascination with this comic. From the perspective of someone who is also a comic artist and writer, two things delight me about it:

the fact that I understand completely how an artist gets from “the fans can have a little hint of skirted asscheek” to “the pussy is completely out on center page” over the course of 18 years; and

the way in which the pussy being out is treated by the characters and diegesis as being utterly unremarkable.

Okay. Point 1. The frog-boiling.

Let me put this in perspective for you. There was already a meme about how the characters in “Saki” don’t wear underwear when I was in middle school. I am thirty now. Okay? And it’s still going.

In the time since, this has stopped being a joke. It is now indisputable canon. This is not because anyone outright says it at any point. It’s because the underwear ran out of places to hide. I’m obsessed with this thought: somewhere in the over 20 volumes of “Saki”, there is a panel in which underwear was objectively deconfirmed. And it would be so hard to figure out where that panel actually is. Maybe the artist didn’t even realize it when she drew it! The frog? Boiling!!

And of course there is also the breast expansion. I don’t know how to put a spin on this. They are just expanding. Like, this happens a lot with artists: you define a character as being, in your mind, “the one with the big boobs”, and over the years you emphasize that trait further and further so that the signal doesn’t get lost in the noise. It’s just that normally—in like a wildly popular manga series about mahjong published by literally Square Enix, for example—normally there would be a point at which the boobs stopped getting bigger. Like, an editor would step in or something. Or you would get to the point where you cannot draw the character in the same panel as her mahjong tiles without her breasts spilling over the tiles, and you’d go, “Well, this is now untenable.”

That did not happen. There is no ceiling. The frog is soup.

Point 2. The complete and utter mundanity of all of this.

It’s like this, okay: there’s no shortage of trashy ecchi manga out there. There’s a million other comics doing wildly bawdier things with wildly more improbable bishoujos.

The vibe with “Saki” is different.

It’s hard to explain this, but it feels like the world of the comic is fundamentally uninterested in the fanservice happening on the page. I cannot describe it as “leering”, because I cannot conceive of a person in the story from whose point of view one would leer. I think the artist is probably into it—I can’t imagine anyone is making her do this—but “Saki” the comic has no opinion on the matter.

There are essentially no male characters in “Saki”. Like, there was one guy? Kind of? At the very beginning? But he is gone now. They put him back in the toybox. He does not exist. It appears to be some level of canonical that in the world of “Saki”, almost all humans are women. Those women are sometimes romantically into each other. According to comments the artist has made on Twitter (which I cannot source), they have lesbian baby technology, so it’s no problem. It’s so much not a problem that the story is about mahjong, instead of any of that.

So, like, the fiction here appears to be this: this is the, like, meta-narrative of the fanservice of “Saki”, right: it’s just normal that they don’t wear underwear and their boobs are arbitrarily big. It’s been normal. It was normal before the story of the manga began. It’s just how things are. Nobody bats an eye about it, and if they do, it’s in sort of a lesbian kind of way so like what’s the problem, we love lesbians here. This is literally normal for girls.

The fanservice simply diffuses into this all-encompassing aura of disembodied, ambient sluttiness. The framing of the panels demands you acknowledge it, and the story demands you already be over it, because it’s mahjong time now, and we’re playing mahjong.

Do you get??? why I’m so fascinated??? Are you not a little enraptured???

Anyway, I have no idea how to end this weird post. I guess the conclusion is that women stay winning????

[purseownervolatile]

I have so many questions... How does one SUSPECT a manga character isn't wearing underwear? Like, sure, boobs are front and center amd you can see them get bigger panel by panel but how does this work for panties? Are there just that many upskirt shots?

Also how do you keep a manga about Mahjong going for 18 years, what??

[lexiiii-vt]

Like this, mostly.

[tonights-episode]

[doubleca5t]

The boobs thing is arguably even funnier

[lexiiii-vt]

I have an important update to this saga:

In chapter 299, the main character unleashes a special attack (???), and immediately after, her boobs DEFLATE BACK DOWN TO A REASONABLE SIZE

And then later in the match, she has to use another special move

And now she's completely flat-chested

In Saki, magical mahjongg power is literally stored in the boobs, which in my opinion is the best possible explanation for all this.

[blastdamage]

the paris catacombs are 1000x more fucked up than i imagined

[blastdamage]

did you know the cops once found a fully functioning movie theater with a well-stocked bar inside the catacombs and they when they tried to go back later to formally investigate it was completely emptied out save for a note that read "don't search for us"

[biggest-gaudiest-poltergeist]

Underground french cinema

[npd-vriska]

my little bro is part of the catacombs community and yeah, it's basically a fully autonomous society! enough that when my bro goes in on a friday night, they don't come out until monday for work- sometimes longer if they took days off.

some of the rooms have fully stocked pantries with cooking equipment, some have movies like the one described above, some have books you're allowed to just take but people always put back- every day people bring things from the outside. artists often set up galleries there. there are rooms with mattresses and hammocks set up for people to sleep. one of the room is just a place where people leave shoes for the fun of it.

this is Known, it's not a secret by any means. the catacombs are as big as paris itself, and people live there just as people live above. it's wonderful when you think about it.

[npd-vriska]

A little update! My little bro is now my little sister. Please don't misgender her :)

[enbylesbie]

[bumblebeebats]

so i hauve covid rn and i must say, American cold medicine is the absolute bees knees. You go to a UK pharmacy and they tenderly press like eight (8) paracetamol into the palm of your hand... God FORBID you're sick in France, i had to scour every pharmacy in Paris for something that wasn't HOMEOPATHIC PASTILLES. meanwhile last night i took the last of my stash of Nyquil that expired in 2019 and it was like getting hit by a fucking baseball bat (affectionate). press X to timeskip. LOVE me a cheeky little medically induced coma. you can really feel that it's a precursor to meth. i know that everything is fucking awful over there my friedns and my heart goes out to every one of you but if you need one small bright light of national pride in this time of strife please know that i envy you your cold medicine every day

[slowspinningredemption]

i once took an american antihistamine pill just a basic one for seasonal allergies and i had to immediately lay down and while doing so i vividly hallucinated that i was a steerage passenger on the titanic resigned to my death as my cabin filled up rapidly with water. then i blacked out and when i woke up again my allergies were gone for the entire season.

[saanphoenix-deactivated20260411]

Meanwhile, the American taking American antihistamines like, "I can't tell it did anything?"

Unless it's Diphenhydramine. And that's the shit that fucks with your head.

[portraitofemmy]

#we can't afford to see a physician but we do get to see the hat man (via @spiders-hth-is-an-outlier)

[my-words-are-light]

Yeah, that’s pretty much it.

[gomboc123]

[fixyourwritinghabits]

Dino people, I am abusing my blogging power to ask a critical question. The image below is a reconstruction of Sue, the T-Rex skeleton at the Field Museum of Natural History in Chicago. This replica is considered to be accurate based on what we know thus far.

My question is this: How do we know this is the correct size of her eyes? Is it based on the size of her skull or something else?

[werevampiwolf]

They can see how big the eye sockets are from the skull. Also, most dinosaurs had bones called scleral rings, which are bones inside the eyeball. I don't know if we have any examples of T. rex that preserved them, but we do have other therapods.

(The info page is by @alithographica )

[werevampiwolf]

I'm reblogging again to add that this means that we know how big their pupils are, since the hole in the scleral ring is only a little bigger than the pupil.

It's also how we know that most dinosaurs had round pupils. It's pretty common for people to depict dinosaurs with slit pupils, probably because of Jurassic Park, mostly because it looks really cool, but nope, they were round. There are very few, if any, birds with slit pupils, which is further evidence for round pupils. And most extant animals with slit pupils are on the small side. Many people think of cats having slit pupils, and they do, but it's the little ones. Lions and tigers have round pupils, because slit pupils are most useful closest to the ground and they actually sacrifice some of their visually acuity for the sake of being better at judging distances in low-light conditions, and most animals with them are ambush predators that jump out at their prey. You ever seen a video where someone throws or bounces a ball towards a cat and it bops them on the head and they seem surprised? That's why; they struggle to track where the ball is going, especially horizontally. So for anything over a certain size, slit pupils are a detriment, especially if they chase down prey.

And yeah, if you've ever seen a scientific source say that a certain species of dinosaur hunted at night and wondered how the hell we could possibly know that, this is how. Their eyeball bones.

[apparently-artless]

There's no doubt about it. That's Asa. That's definitely her. She's definitely my actual sister.

Yomi no Tsugai Episode 08: Suspicion & Conviction - Asa finally getting her hug

[mini-wrants]

The thing that’s always missing from the “women didn’t fight for the right to work they were already working they fought to get paid” is that many women also very much wanted to work.

Women wanted to be lawyers and engineers and chemists. They wanted to use their brains in challenging and interesting ways. They wanted to get the satisfaction from solving problems and inventing new shit and getting attention for it.

I know not everyone is born with intellectual curiosity or drive or determination but some people are and many of those people are women.

[mini-wrants]

[mini-wrants]

Literally.

[twiststreet]

She got the idea for the study while walking with her advisor at Stanford to discuss her thesis topic, and the paper she eventually published in the Journal of Experimental Psychology in 2014 is sharp enough that it should have ended the seated meeting on the day it came out.

She ran 4 experiments on 176 people. Same person tested twice. Once sitting, once walking. The creativity tasks were the standard ones psychologists have used for decades to measure how good a brain is at generating novel useful ideas.

81% of participants in the first experiment produced more creative ideas while walking than while sitting. In the second experiment, 88%. In the third, 100%. Every single person walked into a more creative version of themselves. On average, people generated 60% more novel useful ideas the moment their legs started moving.

The skeptical question is the obvious one. Maybe it was the fresh air. Maybe it was the scenery passing by. Maybe it was the change of environment doing the work, not the walking itself.

Oppezzo killed every one of those explanations with one experimental decision. She put people on a treadmill facing a blank wall. No scenery. No fresh air. No environmental change. Just legs moving in place while staring at white drywall. The 60% boost held.

Then she ran the experiment that closed the case completely. She took participants outside in two conditions. Half of them walked through a Stanford courtyard. The other half were pushed through the exact same courtyard in a wheelchair. Same outdoor stimulation. Same scenery passing at the same speed. The only difference was whether the legs were moving.

The walkers produced dramatically more novel high-quality ideas than the wheelchair group. The outdoors did almost nothing on its own. The walking did everything.

She also tested the opposite kind of thinking. Convergent thinking. The kind where there is one right answer and you have to narrow down to it. Word puzzles where 3 words share a hidden fourth word that connects them. The seated participants did slightly better on these. Walkers got slightly worse.

Walking is not a general intelligence enhancer. It does one specific thing. It opens up the divergent search inside your brain. The part that generates options. The part that produces unexpected connections. The part that takes a problem and finds five ways into it instead of one.

When you need to converge on the single right answer, sit down. When you need to find the answer in the first place, get up.

The mechanism is now well understood. Walking selectively activates what neuroscientists call the default mode network, the system inside your brain that runs when you are not consciously focused on anything. The DMN is where mind-wandering happens. Where memories cross-reference each other. Where ideas that have been sitting in separate folders inside your head finally bump into each other.

When you sit at a desk and force yourself to concentrate, you suppress the DMN. When you walk at a natural pace, the executive part of your brain gets just busy enough handling the walking that the DMN comes online and starts doing the work that focus was blocking.

The most useful finding in the entire paper is the one almost nobody quotes. The boost did not turn off the moment people stopped walking. Participants who walked first and then sat back down stayed elevated. Their next round of seated creativity work was still significantly better than people who had been sitting the whole time. The rest lingered for at least several minutes after the legs stopped moving.

You do not need to do creative work while walking. You need to walk before the creative work. The brain holds the state.

Edited down a long tweet. (x)

[depsidase]

[do-not-u-dare]

Stole this from somewhere but i think it’s appropriate

[gatheringbones]

tbh a lot of my advice boils down to “hey you know that terrible horrible looming thing you’re doing your best to avoid and distract and escape as much as possible but no matter what you do it just keeps looming and looming and ruining your life”

“just, fuckign, run straight at it screaming.”

[quasarkisses]

i needed this as a background

[spectrexviiii]

[lamignonette]

[heretherebebookdragons]

@checkered-shark Näytä kissalle ^^

[beardedmrbean]

One more in the W column for Japan.