PUTTING THIS NOTE BACK AGAIN (after i had just taken down my last pinned freak-out sigh)
For what it's worth, you can find me as XCZIEL almost everywhere: bluesky, discord, dreamwidth, pillowfort, twitter i never use... [now deleted]i even still have my livejournal (i am not, however, on insta or the ticking tok site)
feel free to message me if you'd like to keep in touch should tumblr continue it's current trajectory (exploding car. hammers everywhere.)
_
There are currently SO MANY fandoms going on in this space:
OKAY definitely a BTS (as of like May 2023, so ... yeah) and kpop hyperfixation currently ongoing, not sure when normal service will resume
ALSO i have decided to just go ahead and let myself post about random new books that are hitting the shelves in US stores - not reviewing or recommending, just passing on a heads-up because ... idk. For me it's equivalent to: "oh look cool rock!" or "guess what happened on My Show!" but it's "here's what just showed up on the shelves! " *jazz hands*
ok the kpop Thing officially "Begin"s with OnlyOneOf (watch their mv and dance practices you will not regret it)
all things Kinnporsche and associated cast
Official Liu Chang Addicts Club Member (2020)
full on Liu Sang/DMBJ/Daomu Biji fandom freefall: holy heck are there some talented writers artists & creators in this fandom!!
an increased amount of CDrama, KDrama, BLDrama reblogs
the related asian actor fandoms and cultural interest
preferential reblogging of Lee Soo Hyuk, Woo Do Hwan, and Liu Yuning - uh, *all* DMBJ actors actually
The Untamed (MDZS, but mostly CQL)
Scum Villain's Self-Saving System (Moshang!) and TGCF reblogs
80s music nostalgia always happening
Black Sails (perpetual)
Murderbot
Star Wars, mostly Rogue One and Andor
Stargate and SGA (perpetual)
X-Men (mainly XMCU and cherik)
Killjoys (for as long as folks are making gifsets - ❤ u guys)
Marvel and MCU (still very conflicted, it's a one step forward two steps back situation)
plus a bunch more i've been in that come back around
Anyways, this blog is a mishmash of those, current events posts, cat and landscape pics, tumblr standard posts, fic recs, and memes.
I subscribe to the "if you like it, reblog it" philosophy of sharing creators' posts, because they put the effort in and deserve some appreciation.
Welcome!
Blanket creative works policy: if you ever see a headcanon, not!fic, tag ramble, or silly manip of mine that inspires you to write or art in any way: go for it!
just drop me a tag if you post it bc i'd love to see!
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takes a real artist to go "i have to deface this billboard promoting an evil corporation's evil product. but crucially☝️the typeface and kerning must match or else it's cringe"
If you make it look official, people will leave it up. I knew someone who replaced all the motivational posters at work with 'demotivation' versions and corp didnt notice for like 2 years.
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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.
How would you make a movie about Winston Churchill?
My gut reaction to this was "I wouldn't, fuck him", but then I realised that I do actually have thoughts about this.
Open with a white-text-on-black-screen intro that explains that dialogue in this film has been taken wherever possible from historic recordings. Where it couldn't be, it has been constructed from records of the relevant parliament/private discussions that are on record, even if not word for word. Add that all events depicted are real. And, to reinforce this, a huge load-bearing pillar of the marketing for the film would emphasise that this is extremely limited in artistic interpretation, it's all things the man actually said and did. This, the marketing would stress, is the REAL Churchill, in all his complexity. This is the nuanced and complex and very human guy we don't see in the history books, strengths and flaws and all of it.
The first... half, maybe even two thirds of the film would be pre-WW2. A full account of all his actions in power, painting the picture of the man he was. His belligerence disguised as wit, sending in the army against striking Welsh miners, his initial admiration for fascism and eugenics, all of it. All reproduced from things he actually said and did.
Then, the realisation that Hitler included Britain in his fascist plans. The U-turn into hating the guy, all while believing in the same underlying points.
Then, most of the WW2 section would be in montage form. And at this point, the audience sees why he was actually fairly well suited to the task of opposing Hitler, because all those flaws meant he was ego-driven to resist the Nazis or die trying, and that was what was needed at the time. We've set up that ego, that belligerence, that eloquence. Here it is, in context, actually being useful.
But, this would be juxtaposed with all the things we're carefully not told, that are nonetheless historic record. The starving of India to get food to Britain. The lack of bomb shelters in London, and then claiming credit for sending people into the Underground when they thought to do it. The use and abuse of non-British Commonwealth troops in roles kept from the white soldiers. All of that goes in.
And then, once the war was done, the fallout. The rest of the film would cover his fall from power, first of all - the fuck up at the Potsdam Conference, then his continued use of lurid and hyperbolic war rhetoric in the general election campaign that basically made Clement Atlee and let Labour win.
Labour's creation of the NHS, and national parks, and other such things. Churchill's opposition. The fallout to places like India, the Suez, etc.
And then his return for a final term as Prime Minister in which he was unpopular, unsuccessful, and also very unwell; he was 77 and had multiple strokes, which were hidden from the public. He was against the dissolution of the empire, but Labour had already pulled the trigger on it, so his final years were basically a lot of war crimes and whining as countries declared independence; which won't be a surprise to the audience, because we've literally heard his views on eugenics and imperialism already. Of course those didn't go away with WW2. All that congealed ego and imperialist drive, so useful against Hitler while keeping the worst costs away from the UK, made him a fossil unsuited to the role of peacetime leadership in a post-war recovering nation beginning to decolonise.
And finish on how, at the end, he supported the UK's application to join the EEC - the precursor to the EU.
The whole thing would make the Churchill cultists so fucking angry. They'd 100% claim liberal bias and piss themselves. But that's why you'd have to go so hard on stressing in the marketing that all of it is true; he literally said this. He literally did this. It's all real. Even the EU bit. Yeah, you voted against Churchill.
"The level of wealth that Mr. Musk has reached requires human exploitation, wage theft, wage suppression, anti-competitive markets, monopoli
“The level of wealth that Mr. Musk has reached requires human exploitation, wage theft, wage suppression, anti-competitive markets, monopolistic control, price collusion, inadequate tax systems, and corruption.”
Elon Musk’s net worth surged past $1 trillion on Friday as SpaceX—the rocket company he founded and controls—made its debut on the public market, prompting global revulsion and calls for an aggressive wealth tax to rein in out-of-control inequality.
“Musk became the world’s first trillionaire because our tax system shields the wealth of the ultra-wealthy from taxation while requiring working to people pay taxes on every paycheck,” said Igor Volsky, director of the Tax the Greedy Billionaires Campaign. “Today’s milestone should serve as a wake-up call to us all.”
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At least on 'the price is right' you know (because someone *actually told you*) that you are playing a guessing game and that there is an over/under mechanic and that the conquence of guessing wrong isn't a punishment or damaged relationship or getting fired
This post is about the neurodivergent frustration of having to deal with neurotypical authority figures who don't say what they mean but I love the pro-union labor-rights energy I'm seeing in the notes
Wait I’m not done talking about this night dive. At the end, in order to complete the certification, we had to turn off our lights.
And I realized I wasn’t nervous? Which is absurd. We were only in about 15 feet of water, though, and the moon was almost full, so we knelt in the sand and the whole world was the softest glowing blue. Even in the dark you could see streams of fish glinting past overhead.
And then! And then we started flapping our hands around and the water sparkled green!!! We spent five minutes kneeling there, flapping and giggling like little kids.
I’ve been so sad, but the world is so big. Somewhere out there is an octopus.
You do not have to twist my arm to hear more about my underwater adventures! I can’t believe I didn’t already mention about the wreck dive with the sharks, see, when they come close you’re supposed to maintain eye contact. And there were a bunch of juveniles there (all reef sharks), and the juveniles can be a little dumb, so they do in fact get really damn close.
I’m not sure how to describe making eye contact with a shark.
Their pupils are slit.
Your stomach does the swoopy rollercoaster thing and a little voice in your head is going holy shit.
Barracudas are like nosy old men. No, they won’t hurt you. Yes, they want to know everything about what you’re doing. No, you should not wear shiny jewelry around them. Yes, they are going to get much closer than you would prefer, yes, even if you’re not wearing jewelry.
I love the annoying fuckers but that doesn’t mean I don’t feel some kind of way about turning around and finding a six foot fish grinning in my face.
Do you love lazy rivers, but wish there was more to see? Drift diving might be for you!
Essentially, your dive boat goes to the start of a known current. All the divers gear up, and then jump off the boat one after the other.
And then you just… sit there. No finning, no nothing. The current tows you merrily along.
You can sorta sit with your ankles crossed, and every so often a turtle will hitch a ride on the current next to you, or maybe a shark will politely cross the stream in front of you. The most effort you have to put in is dodging the coral heads.
The boat loops around and scoops you up down-current.
I’ve never watched a sunrise from underwater before.
The whole world comes to life around you, just teeming with fish.
Excellent news: Apparently some parrot fish are late risers. You might find them tucked up in some coral, still dozing, while the butterfly fish who lives next door gets increasingly annoyed about the parrot fish in the middle of everything.
Our final dive of the trip was the wreck of a downed plane.
It was in the middle of a vast, grassy, underwater plain, and the water on this dive was a little murkier than usual—churned up sand giving the whole world a warm haze. So the body of the plane loomed out of this gold-colored mist, broken and brown and absolutely churning with life. Life loves a wreck.
I had to stop, and sit, and breathe. I try to hold on to what I’m feeling when I dive, like I’m running my hands over it again and again, mapping all the bumps and grooves so I can take it with me and call it up when I need it. Sense memory.
I don’t feel enough wonder. Something to work on.
(When I was finished having my little moment, I adjusted my angle to go investigate a wing and immediately came face-to-face with a barracuda.)
hello instagram artist. your challenge is to do a portrait study of a woman but you’re not allowed to stylize them so their eyes are really big and more cat eyed than the reference photo. You’re also not allowed to make their noses more of a button nose or their lips full and pouty or their faces heart shaped with no double chin. Also you have to draw a fat woman. one thats actually fat and not just slightly curvier than the kpop demon hunters body type. good luck
This was interesting because - while I don’t claim to be much of an artist - I have a party trick of portraiture, as in capture-a-likeness-to-please people-in-a-pub-knack, which is a whole separate skill. And the face intrigued me.
For portraiture you have the unique challenge of capturing the distinctive features while flattering them. There’s a tension of “what makes the person look like themselves?” against what they WANT people to see.
Acknowledging and respecting that, reflecting a View of the Self instead of a simple photograph, has always been an ephemeral and noble challenge of portraiture. It’s a rare skill, and while I’m not claiming to be a brilliant practitioner, here’s how I go about it. You want the person to feel SEEN - on a level and in a way that only a portrait artist could.
If someone in a novel were to spend a paragraph studying the portrait, they ought to be able to say something plot-relevant, like “the artist had faithfully captured the FAMILY RESEMBLANCE in the notable features and the PLOT POINT in the shape of her eyes… but no photograph could have captured the wistful turn of the mouth. Across a hundred years of distance, her soul was clear, speaking to Protagonist as if she were merely in another room…”
That’s the skill of portraiture, really, and it’s rarer than the ability to do good lineart (which I can’t do either; note that I’m not claiming to be GOOD.)
The immediate outstanding features of the “fan” are
Dark, hooded, distinctive eyes - she’s probably proud of them
Challenging, knowing expression
Long dark hair is a feature she’s proud of; because it’s well-cultivated
A sweet beauty of youth, but I can see what she’ll look like when she’s older
Notes on her features:
Roman nose that’s unusually short for the bridge type. Doesn’t have the space to be “hooked” but has the shape.
Natural brow with natural arch - fuzzing in to a shapely tapered form
Rounded face but with an interesting composition of flat slabby cheekbones and a high flat forehead. I’d love to look at it from other angles but she could model for a LOT of time periods and a LOT of artistic traditions.
Cool olive skin - very tricky!!! Especially with that pink lip. Frankly beyond me to depict fairly tbh… but at least I tried
Dark pigmented undereye and eyelid, which I chose to handle in the sense of “flattering eye makeup”rather than true depiction of her colouring.
Full mouth with NO CUPID’S BOW - fullness in lower lip
I’d elide the faint double chin out of gracious recognition of the angle and acknowledgement of the fact that the sitter would PROBABLY prefer it not to be noticed. I ultimately alluded to it, but elided it.
Even without the double chin, her determined yet rounded chin is another charming and forceful contradiction that lends what we call “character” to the face
💯 keep the moles
Presumably a fan of Instagram anime art is familiar with conventions and is therefore hoping for a portrait with glow brushes and SHEEN and TEXTURE and anime petals and veils barfed all over it - so I did a final version with those things - presuming it would make the “customer” happy
Obviously you can see that I’m quite humbly and realistically not an ARTIST but I thought it was interesting to contrast what skills are valued in a party trick of portraiture (breaking down and flattering features, playing a delicate game of flattery/pleasure and clear-eyed recognisability) vs a much more skilled and stylish render that is based on replicating anime aesthetics and thus - despite being better which I acknowledge! - didn’t engage so much with the goals of portraiture. Returning to the goals of portraiture - likeness, gesture, expression, picking out features, affection for the subject - is so,so good for the soul. For one thing, it reminds you of your ability to fall in love with faces…
But as you can tell, you don’t have to take my word for it! Draw a person lovingly today!
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