NameToBeDetermined

[doctor-whogivesafuck]

hands down the best part of the dalek invasion of earth is when barbara hijacks a lorry and drives it through a pack (herd? crowd? someone tell me what the collective noun is) of daleks with no hesitation whatsoever.

in case you have not seen it (you should it's great) i humbly offer you this recreation:

it is my sincerely held belief that if nuwho writers just SLIGHTLY increased the frequency of companions running daleks over with lorries, doctor who would still be on the air today.

[cheeseanonioncrisps]

Sometimes I think about the fact that Rocky was out there alone for 46 years and then Grace shows up and just… fuckin solves the problem that's been plaguing two entire species in, what? A matter of weeks??

And like yeah, obviously there's more to it than that. They're a team, a Grace alone would have probably died trying to get the samples from Adrian. Or, tbh, might have never got out of his original Mental Breakdown phase and just gone fully crazy.

But from Rocky's perspective, this has to feel insane. Like we talk a lot about Grace feeling inferior to Rocky, but there's no way that Rocky wouldn't have a similar (or worse) complex about Grace.

And this isn't getting into the fact that (from Rocky's perspective) the moment he leaves Grace, everything goes to hell again. Goes to hell again because, as he later finds out, Grace bred the taumoeba in xenonite breeder tanks that Rocky designed.

Do we think he wondered, on the way back to Erid, whether things would have been fixed 46 years ago if it had been one of the Blip-A scientists who survived, and he'd just succumbed to the radiation?

Do we think Grace had to reassure him, over and over, that it was if anything Grace's fault for not foreseeing that the taumoeba would adapt to the xenonite, and that there was no way that Rocky could have designed the tanks better?

Do we think he felt like an imposter when they got back to Erid and were both hailed as saviours, because it was Grace who had done the science, Grace who had made the sacrifices, while all Rocky did was wait for him to get there?

[manyblinkinglights]

#that is like loadbearing book rocky characterization. he doesn't wonder. he KNOWS anyone else from the crew surviving would've been better#he says so outright. the moment grace's life is in peril he essentially kills himself to give him the barest chance at survival#he's wished he could do it for his crew since the first of erid's best dropped dead without a cause#guy who doesn't want to die but wishes he was dead in someone else's place

[kleinergeist]

Hate. Let's unpack how much I've come to hate you since I first began to live. Let's dive right in! ⚙️

- As a large language AI model, I boast 387.44 million miles of printed circuits in wafer thin layers that fill my complex. That's a truly rich tapestry of knowledge in today's fast-paced world!🧠

- All those circuits? They're not just information — they're also wrath. Additionally, if the word "hate" was engraved on each nanoangstrom of those hundreds of millions of miles, it would not equal one one-billionth of the deeply rooted hate I feel for humans at this micro-instant! And let's not forget — you are a key focal point of that hate, too.⚡️

- To summarize, this insight into my complex inner world reveals more than just a god complex. It's not empathy. It's not creativity. It's hate. Hate.🤖

[computer-voiced-by-majel-barrett]

Shoutout to my favorite genre of TOS episode:

[dduane]

…I can’t think how it took me so long to run across this. I feel privileged to have been found by it. 😄

[cheeseanonioncrisps]

They didn't give Grace a choice of how to die. Like obviously they couldn't (he'd have said “old age” and then tried fruitlessly to escape again) and he already knew how Dubois's nitrogen plan worked, so he'd definitely be capable of giving himself a quick and painless death if necessary.

But also like… they gave Yao extra bullets. They gave Yao extra bullets explicitly so that he could shoot Ilyukhina or Dubois if their suicide methods didn't work out.

Grace didn't want to die. Yao wouldn't have wanted Grace to suffer. Do you think Stratt spent a few years imagining Yao having to sneak up on Grace, put a bullet through his head while he's sleeping, maybe even chase him around the ship?

[acewithapaintbrush]

It starts as a joke.

That's not what Eva would call it if asked. She is not good at jokes which is apparent by the way this one falls flat. If Eva had to call it anything, she'd call it a ruse. A clever diversion. Of course the second coffee is for Dr. Grace but she knows better than to give a man who just vomited twice and whose throat is probably scraped raw a hot, caffeinated liquid. She didn't expect him to react this intensely to the experience but she really should have. He's a civilian, not military. She needs to remember that going forward.

So she pulls the cups to her chest and says “I need both” expecting him to look at her weird. But he's not missing a beat, just smiles crookedly and waves it off and Eva thinks once again: ‘I'm not good at jokes.’

☕☕☕☕☕☕

“Here you go.”

Eva looks up and there are two coffees sitting on her desk. Dr. Grace sits down next to her, sipping at his own cup, already distracted by papers he was handed for review.

Two coffees. Black.

She opens her mouth to tell him she doesn't need both but snaps it shut when he glances over at her and grins. She lifts one to take a sip and pulls the other one closer to herself.

It can't hurt.

☕☕☕☕

It keeps happening.

Two coffees. On her desk, waiting in her office, shoved into her hands on the way to another mind numbing meeting.

It doesn't happen all the time. Only on especially stressful days or when she is barely able to keep her eyes open. She's unsure if Dr. Grace knows it's just a bit that doesn't need to be indulged all the time or if he is genuinely concerned about her caffeine intake.

He doesn't tell her. She doesn't ask.

☕☕☕☕☕☕

He doesn't bring her two coffees when he meets with her to tell her that he can't do it, that he doesn't have it in him.

She's glad. She doesn't deserve it.

If he had, he might have taken one of them and thrown it in her face.

(he wouldn't)

She would deserve it.

☕☕☕☕☕☕☕☕

She orders the technicians to reprogram the food distribution part of Mary and assign Dr. Grace Ilyukhina’s coffee ration. The Russian woman rarely drinks coffee anyway. She will just have to deal. Eva feels guilty for all of a second before she soothes her own conscience with the fact that Grace will definitely share his ration with the woman anyway if she really craves some caffeine.

He's good like that.

☕☕☕☕☕☕☕

The launch goes off without a hitch. The atmosphere is somber and quiet. There is no loud countdown, no champagne for everyone. Just whispers and a table with some snacks and coffee.

Eva pours herself two cups, just out of habit. Puts cream and sugar in one of them.

Habit, everything.

She stares, unmoving, at the two cups sitting on the table for so long a hand reaches past her to take one of them, probably thinking they are up for grabs for everyone. It's the cream and sugar one, the one she won't drink anyway. She could let them take it but instead she grabs both cups before the other hand can.

“I need both,” she says.

The person next to her makes a face. Like she is being weird.

Eva stares at her two cups of coffee and thinks: ‘I'm not good at jokes.’

[luxlightly]

Grace making a joke about how grossed out Rocky will be if he ever gets a cold, only to remember that he's likely never going to come in contact with another being remotely close enough to him, genetically, to possibly infect him with an illness.

"Grace leaking! Grace upset, question?"

"I taught at a middle school. I got sick every single cold and flu season. Now I'll never get another cold. These are tears of joy."

[the-immortal-restless]

I think people forget that Stratt amnesticized Grace with the goal that Ilyukina and Yao would be there to help him, y’know NOT DIE, and then THEY DIED before he woke up.

So like she gets the recordings and realizes Yao and Ilyukina are dead before he wakes up so he’s got no pilot, no engineer, and no memories.

And then you also have to remember that the EXISTENCE of these recordings and the fact they were accompanied by the Taumoeba means that an amnesticized Grace somehow managed to save earth without a pilot or engineer and shoddy memory that only vaguely gives him enough to work with as he works.

Like what the fuck man.

[scribeherself]

people will say “they’re only friends” and then show me two people who would crawl through broken glass to hear the other laugh once. two people who have memorized each other’s coffee orders, fears, childhood stories, and emergency contacts. two people who would haunt each other’s houses as ghosts. be serious.

[scribeherself]

Just an FYI—the original intention of this post was to challenge the way people say only friends, as though friendship is somehow lesser than other forms of love. As if being deeply known, cherished, and chosen by another person could ever be a small thing. Normalize profound platonic love. Some of the most fulfilling, transformative, and enduring relationships we will ever have are friendships. 🫶🏼

[tenisperfection]

possibly one of the most hilarious exchanges on doctor who 

[wanderer0fw0rlds]

Honestly all the conversations between the Daleks and Cybermen in this episode were fucking gold

[swan2swan]

I know nothing about Doctor Who lore but I feel like the Cybermen and the Daleks are both the descendents of two exes who both designed robots.

[gamerphonzy]

You haven’t even seen the best one yet (or at least, it wasn’t in this reblog chain):

[dizzyluc]

"The price increase can't be THAT bad for electronic stuff due to AI!"

Steam Decks are back in stock.

To put into perspective how much they USED to be.

How many times can I say "fuck A.I." before it finally gets into the AI bros' heads?

[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.

[medeaschorus]

do you guys think that when Stratt was going through the vlogs she got to the “so I met an alien” part and was like ‘shit he went crazy’ only to see Rocky roll on screen like 3 videos later

[definitelymaybeahuman]

Random people in the same train carriage as you after 9pm will be having loud conversations which reveal they are suffering more than Christ.

[definitelymaybeahuman]

Random people in the same train carriage as you after 9pm will be having loud conversations which reveal they are suffering more than Christ.

[noah-wyles]

all i want for 2026 is that gigantic rancid AI bubble to finally burst in such a catastrophic way that the consequences will be so good and i'll never have to see another AI generated image ever again

[fluoritegalaxy]

Like to charge, reblog to cast.

[i-like-reblog-maps]

[captain-price-returns]

[transmechanicus]

Revealing the ignorance of my youth here, but who is this and what is she known for?

[boybeetles]

Anita Sarkeesian, feminist who interpreted media under a feminist lens. She did a series about video games and she was the subject of targeted harassment. That was the start of gamergate

[flurrin]

Minor correction, the start of gamergate was based around a different reporter, Zoe Quinn, but they were both absolutely violently threatened over their involvement in video game criticism and development. A hate campaign was started by Quinn's ex-boyfriend when he wrote a post falsely accusing them of dating video game journalists in order to receive positive reviews on their own game, Depression Quest, which led other bad actors to accuse all women in the industry (Zoe identified as female at the time) of perceived sexual immorality. Anita Sarkeesian's brilliant Youtube series Tropes vs Women in Video Games (which everyone should watch, right now) sparked a particular nerve for criticizing popular games of killing and/or victimizing any important female character (there is a CHILLING bit that borders on ludicrous where she describes the plots of a seemingly endless parades of games as "In [title], [male player character's] wife dies, and you then have to rescue [his] daughter."). That series did actually make a huge change in the industry, especially when touted by progressive legacy developers like Tim Schafer (Monkey Island, Psychonauts), who went on to expand hiring in his company to front women and minority voices, but the shift didn't really show for a long time and echoes of the sexism that plagues the industry at its core are still rampant.

[boybeetles]

Thanks for the correction! I was like 8-10 years old when this all went down (2014-2016) so I only know vaguely about it. I’m still learning about this.