The Chaotic Ghost

Multi fandom

[the-rebellious-one]

[jackhawksmoor]

[Batfam member finds out Tim Drake figured out Bruce Wayne was Batman because Dick Grayson Robin did a quadruple somersault]

Batfam: lol Dick only did that because he is so extra

Me [vibrating]: trapeze artists tried unsuccessfully to nail the quadruple for 70 years because the flyer picks up enough velocity on the spins that they reach 80 miles an hour and hit with so much force it can dislocate the shoulders of the person trying to catch him and rip the skin off their hands in big flaps 

the flyer would hit so hard the people attempting it would box and slap their hands against wooden blocks to toughen their skin and hitting a quadruple in the air magnified the power behind tiny nine-year-old Dick’s strikes to the point where it could have probably stunned a metahuman and this was probably a large reason behind his ability to be a crimefighter at an earlier age than any other person in the DC universe and in this essay I will

[river9noble]

How dare you leave the emoji somersaults of doom in the tags

[frostbittenbucky]

Let young Dick somersault into his parents killers

[ameba-from-space]

I’m just thinking that if he did this as nightwing he would probably look like sonic when he turns into a ball

Pov: you’re fighting dick grayson

[newtonpermetersquare]

So that’s basically how it went down

[tricornking]

I resent just how fucking accurate this shitpost is, congratulations OP, you effectively illustrated how Darwin’s Theory of Natural Selection became accepted by the wider public using a FUCKING MUPPETS MEME, here is your A+, get the hell out of my office

[mollyhats]

Cass’ first kill, the one that leads her to realize what murder is and sends her in a journey to find her own way to be a hero, isn’t a virtuous person connected to our other characters. It’s a criminal, a kingpin with blood on his hands, invented only to die.

Cassandra’s first kill doesn’t draw her into the world of superheroics; it isn’t a person who impresses her with their virtue. It’s just some guy, someone Jason would probably justify killing, and the fact that it triggers her journey of self-discovery, morality, and extreme dedication to the preservation of life, says so much more about her than Faizul. Who Faizul is is inconsequential. The fact that he was probably just another replaceable asshole, a man who lived by the assassin and thus died by the assassin, is irrelevant to her. Making her first kill someone innocent or relevant to the cape and cowl crowd changes her story thematically.

From the very beginning, Cass’ motto has been “no one dies tonight.” Not because they’ve earned the right to live, not because they’re innocent, not because they will use the gift of life for good instead of evil, but because killing is fundamentally wrong. No one means no one, and that is reinforced by her developing this idea from watching the death of someone shitty.

Cass was raised to not know any other way, but she created her own path outside of murder without a role model to guide her. Cass is a character who was able to create a code of ethics from scratch, without the language or even concept of opposing murder to help her. That’s fucking incredible.

[br-uwu-cewayne]

Brucie: [twirling his bangs and holding a pint glass of beer between his fingers from the base like a wine glass] ha ha, wait, no stop, you are soooo funny! Omg, thank you all so much for inviting me this time! So... okay, wait, explain the rules to me one more time?

Bruce, aside: Jim, you do realize, I'm about to brutally and viciously murder the entire GCPD bowling team, an utterly complete floor-wiping the likes of which their reputation will never recover from?

Gordon: You kidding? This betting pool is about to pay my rent for the next three years.

[mengyaosevilpussy]

tragedy enjoyers when a character upholds the system that they themselves were a victim of

[moonlightrapsodia]

[hexespheres]

Characters with different genders, sexualities, disabilities, ethnicities and nationalities in North American DC comics books.

((Also characters with intersectional identities as well))

►► Inspired by queenmera

Part 1

Part 2

[queeranarchism]

If you're a leftist who finds inspiration in the stories of the anarchist and communist revolutions, you also need to find wisdom in its excesses, it's cruelty and it's vulnerability to corruption. If you find pride in the history of the resistance movements against nazism, you also need to find introspection in the fact that many resistance members ended up raping the wives and abusing the youngest children of nazis the moment the power was reversed.

I don't trust people who only explore the pretty parts of leftist history. It doesn't lead to a realistic understanding of our past movements and it doesn't make us prepared to see the flawed, vulnerable and ugly in our current movements. Will you recognize and confront the rapist in your local group? How can you, if you won't even recognize and confront him across 80 years of distance?

[sqwermz]

hey everypony !! since i’m supporting the DCblackout boycott, i figured i’d make a small info post with links and summaries !!

DCblackout:

DCblackout is the second stage of the DCsowhite discussion that took place earlier this year, which pointed out that DC hasn’t publtished a solo, on-going black title in over 1200 days

DCblackout has 3 main goals: 1. establish and announce 1-3 black on-going titles (with black creative teams) that have cancellation immunity for a minimum of 2 years, 2. educate fans on how sales work so they can accurately support the titles they love, & 3. greenlight a power company book if the titles do well (which would help a fanbase grow)

the goal of DCblackout is to raise awareness of the lack of black DC stories and give fans heroes they can relate to and see themselves in.

blackgirlnerds.com

their official public statement is as follows:

bleedingcool.com

DCsowhite and why now:

DCsowhite brought attention to the fact that there has been no black on-going title in over 1200 days. the last title was ‘I Am Batman’, which ran from 2021-2023 and ended on its #18 issue.

dc heavily relies on mini-runs or one shots for black characters, and black female characters receive even less.

james portis III (aka JPenumbra) posted a piece to comicsbeat.com focusing on the issue.

comicbeats.com

this has been an issue for a long time, but it doesn’t have to continue this way !! below is a link to the DCblackout petition, and blow that are links to JPenumbra’s original piece, the DCblackout website, and blackgirlnerds.com and bleedingcool.com’s pieces (in that order).

Sign the Petition

#DCSoWhite: End the Black Superhero Drought

DC Comics, Blinded by Whiteness Examining the Lack of Black-Led Ongoing Titles

It has now been 1171 days since the last time DC published an ongoing series for a Black character in their mainline continuity

DCBlackout - a DC Comics boyocott.

Black Comic Alliance Announces Stage 2: DCBlackout, Escalating Calls for Structural Change at DC Comics | Black Girl Nerds

Following the viral #DCSoWhite conversation, creators demand sustained investment, visibility, and accountability for Black representation

DC Comics Boycott: 1200 Days With No Ongoing DC Universe Black Lead

DC Blackout: a DC Comics fan boycott launches after 1200 days without an ongoing DC Universe comic book series with a black lead character

[luna-azzurra]

Tips for writing Hospital/medical scenes!!

Spent way too long researching this before posting lol. but please, if something's wrong, tell me. i'd rather be corrected than spread misinformation.

⋆˙⟡ Doctors don't run. Almost ever. Running in a hospital is a safety hazard, knocks into patients and equipment, and signals panic to everyone who sees it, which is the opposite of what hospital staff want to project. In a true code blue situation, there is urgency, but it looks more like extremely fast, purposeful walking and a kind of controlled chaos where everyone knows their role. The sprinting attending dramatically sliding to a bedside is a TV invention.

⋆˙⟡ "She flatlined" does not mean what you think it means. A flatline (a straight line on a heart monitor) means asystole: the heart has stopped producing electrical activity. You don't shock a flatline. CPR, yes. Epinephrine, yes. But the dramatic defibrillator moment everyone loves? That's for ventricular fibrillation, which looks like chaotic scribble on the monitor, not a flat line. Shocking a flatline in real life does nothing. Your doctor character would know this. Your nurse would know this. Your paramedic absolutely knows this.

⋆˙⟡ Medical professionals have a dark, dry humor and it's a coping mechanism, not a character flaw. People who work in high-stress, high-death environments often develop humor that sounds brutal to outsiders. BUT It's not callousness, it's a pressure valve.

⋆˙⟡ Hospitals are obscenely loud and smell very specific. Writers default to clinical silence and "the sharp smell of antiseptic." Real hospitals smell like a combination of cleaning fluid, stale air, cafeteria food leaking through vents, and occasionally something you don't want to identify. They're also constantly noisy. Intercoms, rolling carts, the beep of a dozen different monitors all slightly out of sync with each other, people talking too loudly, visitors crying in hallways. The silence only comes in very specific moments, and it's jarring precisely because it's unusual.

⋆˙⟡ Waking up from a coma is not waking up from a nap. Someone who has been unconscious for more than a day or two will have profound muscle weakness, and they often can't hold their own head up. They'll be confused, possibly for days. They won't be able to speak normally if they had a breathing tube, because their throat will be raw and damaged. They won't recognize people immediately and then have a tearful reunion five minutes later. The brain coming back online is slow, strange, and disorienting in ways that aren't photogenic. Patients frequently don't remember the first several days of recovery at all.

⋆˙⟡ There's a specific hierarchy and it matters to the people inside it. Attending physician, fellow, resident, intern, these are not interchangeable words for "doctor." An intern on their third week is legally a doctor and can barely order a sandwich without second-guessing themselves. An attending has full clinical responsibility and has seen everything. A fellow is post-residency, specializing, somewhere in between. Nurses operate in their own parallel hierarchy that intersects with but is absolutely not subordinate to doctors in the way TV suggests. Experienced nurses regularly catch errors that residents make, and both parties know it.

⋆˙⟡ Patients are almost never alone in their room doing emotional things. Nurses check vitals. Phlebotomists come for blood draws at ungodly hours. Housekeeping rolls in. A different doctor than the one managing the case comes to consult. Meals appear. An orderly needs to take them to imaging. The room itself is rarely private for long. The idea of a character lying in a hospital bed having a long, uninterrupted emotional conversation is something that mostly happens in fiction. In reality, someone knocks and enters approximately every 40 minutes, sometimes more.

⋆˙⟡ Paperwork and insurance are a constant, grinding presence. Discharge doesn't happen because the patient is better. It happens when it's approved, when a bed is needed, when insurance says so. Patients are sometimes sent home earlier than feels safe because the system demands it. Doctors spend an enormous, demoralizing amount of time on documentation, estimates suggest 2 hours of paperwork for every hour of patient care. The administrative weight of hospital medicine is a slow-burn horror that almost no fiction touches, which means the moment you do, it feels startlingly real.

⋆˙⟡ Prognosis conversations are never one clean scene. When a doctor tells a family that someone is dying, there isn't a single moment of devastation and then forward motion. People mishear. They ask the same question rephrased five different ways hoping for a different answer. They argue with the information. Someone pulls out their phone to Google the diagnosis. Someone else goes completely silent and leaves the room. A week later, one family member still believes recovery is possible and another has accepted the death entirely, and they haven't been able to talk about it. Information lands at different speeds for different people and the gap between them is its own source of suffering.

[enavstars]

"Slipping through my fingers"

I got this idea from the fact that Kai saw a younger Nya in the images in the Land of Monsters. That's his precious baby sister!

[def-ace-ing-it]

Batfam head canons that I need to Expunge

(Some of these might actually be canon but who knows anymore)

• In a kitchen, Bruce Wayne can and has burnt water and has almost caused a building to burn down, all of which were on accident

• HOWEVER. If you sat Bruce in front of a campfire in a forested area and told him he had one hour to put together a meal, he would make the most delicious and nutritious plate you have ever eaten out of fungus and lizards and anything else he could scrounge up. This infuriates Alfred every time

• Bruce’s canines are sharper than most, as does Damian. No, they have not beaten the vampire allegations in or out of costume

• Despite being terrified of them, Bruce knows an absurd amount of bat facts as a way of coping

• Cass has a wide range of musical taste. She often flutters between genres being her favorite and will occasionally loop a song until it no longer gives her dopamine

• Cass wears a lot of bat paraphernalia i.e. bat earrings, bat ears, often Batman merchandise. She’s just very proud of her family and even if she can’t express it in public she wants everyone to Know how proud she is

• Jason mainly listens to punk rock and rap, but he does make an exception for pop punk SPECIFICALLY from the eighties

• Jason is one of the few people who has a direct line of contact to Talia, and while he barely uses it he will occasionally call to get a recipe from her because he misses the food he got while training

• Dick cannot decide whether he wants to keep his hair long or short, and he has considered bringing the mullet back to everyone’s horror

• During one of his rebellious streaks, Dick learned how to pole dance. Nobody but the Titans know this

• Stephanie ABSOLUTELY believed in unicorns as a kid, and though she’s not as much of a hardcore believer she’s still holding out hope with how weird the world is

• Stephanie also had one of those “I hate pink/purple phases”, she’s healing from it obviously <3

• Despite not even living with the Bats, Stephanie is the WORST clothes thief, because she steals Cass and Tim’s clothes which are in turn stolen from the others. Nobody has noticed yet

• Time hates how wearing a suit feels, but he often goes out of his way to make sure all of his suits fit well because damnit he’s gonna look good if he’s gonna be uncomfortable while wearing them.

• Tim hates the smell of alcohol, to the point where he’ll gag if the smell is too strong

• Damian is SEVERELY allergic to pollen because he wasn’t raised around it as a kid, he’s the only one in the family who can be taken out by spring and he gets pissy when it’s mentioned

• Damian has an impeccable sense of smell, more so than any of his siblings

• Babs is arguably the most stable of the batfam, but even then not really because she decided to become a vigilante without Batman’s training which was arguably worse than the rest of the family’s origins

• Barbara could never decide what she wanted to be when she grew up as a kid, she would always switch jobs every week

• None of the batfam is straight or neurotypical, let’s just state that here

• Everyone has an Assigned Color for galas and other public appearances, outside of that barely anyone wears their assigned color. All except for Bruce, whose wardrobe is exclusively made of black turtlenecks and the occasional dark grey hoodies because he refuses to wear anything other than his Assigned Color

• There is a persistent game of tag happening exclusively on patrol with a long list of rules to keep things “fair”, currently Tim is It. They’ve kept this from Bruce, but Alfred knows and is the one to remind them every patrol

• Somehow, Stephanie is the only one who hasn’t been It yet this cycle, and Jason has been It ten times so far and he is pissed about it

I have just… so many thoughts about them

[crystalis]

There was this woman poet in 4th century China called Su Hui (蘇蕙), a child genius who had reportedly mastered Chinese characters by age 3.

At 21 years old, heartbroken by her husband who left her for another woman, she decided to encode her feelings in a structure so intricate, so beautiful, so intellectually staggering that it still baffles scholars to this day.

Came to be known as the Xuanji Tu (璇璣圖) - the "Star Gauge" or "Map of the Armillary Sphere" - it's a 29 by 29 grid of 841 characters that can produce over 4,000 different poems.

Read it forward. Read it backward. Read it horizontally, vertically, diagonally. Read it spiraling outward from the center. Read it in circles around the outer edge. Each path through the grid produces a different poem - all of them coherent, all of them beautiful, all of them rhyming, all of them expressing variations on the same themes of longing, betrayal, regret, and undying love.

The outer ring of 112 characters forms a single circular poem - believed to be both the first and longest of its kind ever written. The interior grid produces 2,848 different four-line poems of seven characters each. In addition, there are hundreds of other smaller and longer poems, depending on the reading method.

At the center a single character she left implied but unwritten: 心 (xin) - "heart." Later copyists would add it explicitly, but in Su Hui's original the meaning was even more beautiful: 4,000 poems, all orbiting the space where her heart used to be.

Take for instance the outer red grid of the Star Gauge. Starting from the top right corner and reading down, you get this seven-character quatrain:

仁智懷德聖虞唐，

貞志篤終誓穹蒼，

欽所感想妄淫荒，

心憂增慕懷慘傷。

In pinyin, it is:

Rén zhì huái dé shèng yú táng,

zhēnzhì dǔ zhōng shì qióng cāng,

qīn suǒ gǎnxiǎng wàng yín huāng,

xīn yōu zēng mù huái cǎn shāng.

Notice how it rhymes? táng / cāng / huāng / shāng

The rough translation in English is: "The benevolent and wise cherish virtue, like the sage-kings Yao and Shun, With steadfast will I swear to the heavens above, What I revere and feel - how could it be wanton or dissolute? My heart's sorrow grows, longing brings only grief."

Now read it from the bottom to the top and you get this entirely different seven-character quatrain:

傷慘懷慕增憂心，

荒淫妄想感所欽，

蒼穹誓終篤志貞，

唐虞聖德懷智仁。

The pinyin:

Shāng cǎn huái mù zēng yōu xīn,

huāngyín wàngxiǎng gǎn suǒ qīn,

cāngqióng shì zhōng dǔzhì zhēn,

táng yúshèngdé huái zhì rén.

It rhymes too: xīn and qīn, zhēn and rén

And the meaning is just as beautiful and coherent: "Grief and sorrow, longing fills my worried heart, Wanton and dissolute fantasies - is that what you revere? I swear to the heavens my constancy is true, May we embody the sage-kings' virtue, wisdom, and benevolence."

That's just 2 poems out of the over 4,000 you can construct from the Xuanji Tu!

At the very center of the grid, the 8 red characters wrapped around the central heart, she "signed" her poem with a hidden message:

詩圖璇玑，始平蘇氏。 "The poem-picture of the Armillary Sphere, by Su of Shiping."

Or reversed:

蘇氏詩圖，璇玑始平。 "Su's poem-picture - the Armillary Sphere begins in peace."

Many scholars, and even emperors, throughout Chinese history have been completely obsessed by Su Hui's puzzle.

For instance, in the Ming dynasty, a scholar named Kang Wanmin (康萬民) devoted his entire life to the poems (kangshiw.com/contents/461/2…), ending up documenting twelve different reading methods - forward, backward, diagonal, radiating, corner-to-corner, spiraling - and extracting 4,206 poems. His book on the subject ("Reading Methods for the Xuanji Tu Poems", 璇璣圖詩讀法) runs to hundreds of pages.

Empress Wu Zetian herself, the legendary woman emperor of the Tang dynasty, wrote a preface to the Xuanji Tu around 692 CE (baike.baidu.com/item/%E7%BB%87…).

Incredibly, there's even far more complexity to the Xuanji Tu than just the poems:

- The name 璇玑 (Xuanji) - Armillary Sphere - is astronomical in meaning and the way the poems can be read mirrors the way celestial bodies orbit around a fixed center. It's a model of the heavens.

- Her original work, with the characters woven on silk brocade, was in five colors (red, black, blue/green, purple, and yellow) which correspond to the Five Elements (五行) - the foundational Chinese philosophical system that explains how the universe operates. So it's also a model of the entire cosmic order according to ancient Chinese philosophy.

- It's also of course deeply mathematical with this 29 x 29 perfect square grid, with sub-squares, lines and rectangles, and a structure which allows for symmetrical reading patterns in all directions

- Last but not least, the content of the poems themselves contain multiple registers. On top of expressing her personal grief and longing for her husband, it's also filled with accusations against the concubine (Zhao Yangtai) he left her for, reflections on politics (with many references to sage-kings) and philosophical reflections.

So the Star Gauge is simultaneously:

- A love letter (expressing personal longing)

- A legal brief (arguing her case against her rival)

- A cosmological model (structured like the heavens)

- A Five Element diagram (encoding the fundamental structure of the world according to ancient Chinese philosophy)

- A mathematical construction with perfect symmetry and precision

And yet, for all this complexity, we should not forget this was all ultimately in service of the simplest human message imaginable: a 21-year-old woman asking the love of her life "come back to me".

Her husband did, eventually. According to what empress Wu Zetian herself wrote in her preface to the Xuanji Tu, when he received Su's brocade he was so "moved by its supreme beauty" that he sent away his concubine and returned to his wife. As the story goes, they lived together until old age.

The heart at the center was filled after all.

[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.

[fatcatissurprisinglysvelte]

The paper is available online: https://dl.acm.org/doi/abs/10.1145/3442188.3445922

[directactionforhope]

This is so, so important. I highly encourage everyone to read the full text under the readmore.

I also want to say that I feel like part of the problem with trying to explain this to a wider audience will be that most people don't know what stochastic means.

Well, in short, stochastic means random.

-via Merriam-Webster Dictionary, accessed May 26, 2026

So, that's what leading AI ethics researchers named Large Language Models, like ChatGPT, in 2023:

Generative AI is just random Random Parrots

ChatGPT is a Random Parrot, which is why it's literally incapable of giving you reliable answers to anything

Gemini is a Random Parrot, which is why it's literally incapable of giving you reliable answers to anything

Claude is a Random Parrot, which is why it's literally incapable of giving you reliable answers to anything

Deepseek is a Random Parrot, which is why it's literally incapable of giving you reliable answers to anything

They are very convincing parrots!

But no matter how impressive a parrot's ability to echo human words, you wouldn't let it write your contracts. Your court depositions. Your wedding vows. Your grocery lists. All your emails. All your papers for all your classes. All your thank you notes and letters. All your expense and budget reports at work. All the reports you send to your boss.

That's what people are doing.

They're trusting their entire lives - their grades, their decisions, their fucking wedding vows, half their fucking interaction time -

to a fucking random parrot

(that also tells suicidal people to kill themselves and tells recovering addicts to go do meth, btw)

Don't do that. Like, on top of all of the other issues like

Please don't let a random parrot that's wiretapping you for Amazon or whoever run any part of your life

[incorrect-ironwidow]

Yizhi: No homo. We’re fresh out. We should get a new shipment in on Monday.

Shimin: Can you check in the back

Zetian: There might be some in the closet.

[whiskysteaks]

Nanna nanna…

[sushinfood]

god dammit

[cerusee]

Stop

[sevi007]

This is pun-ing on the highest level.

[wandererriha]

@copperbadge

[quicksilver-ink]

[Image: Four older women (nannas) and then Batman, seated at a bus stop.]

[galactickohipot]

Just giving signs of life.

Two random sketches of Donna Troy!

Part 2