So no more Doctor Who live action tv for a while and that’s probably a good thing. But what about the books? Is Murray Gold going to release the soundtracks? I’m sure Big Finish will be ok for a bit at least so we’ll have something as the animated series could still be years away from being released. Someone has really dropped the ball on this. These are ways to promote the show without a show so I’m curious as to what’s going to happen.
hot take but if it's really a free trial then people shouldn't be expected to give their credit card infos before entering the trial. they should only be asked to do that once the trial is ending or after it's already ended and they're satisfied with what they're paying for. not if they forgot to manually cancel the payment that they didn't sign even sign up for
Reblog to let your followers know that despite your current obsession your previous obsessions still exist and are simply lying dormant until they awaken and strike again
yeah the guy who invented them made incredibly precise infusion pumps (as opposed to gravity fed ivs) which not only meant they could give medications to teeny tiny babies safely, it's also used for insulin pumps and portable dialysis machines. the key element is that it's a peristaltic pump so the liquid stays in sterile tubing for safety
(unholy drink cloaca uses it to dispense precise amounts of flavored sugar syrup)
while i’m talking about this book again i should mention that, since it’s an abuse resource, Why Does He Do That is available to read for free as a pdf, and i’d highly recommend it.
When a client of mine tells me that he became abusive because he lost control of himself, I ask him why he didn’t do something even worse. For example, I might say, “You called her a fucking whore, you grabbed the phone out of her hand and whipped it across the room, and then you gave her a shove and she fell down. There she was at your feet, where it would have been easy to kick her in the head. Now, you have just finished telling me that you were ‘totally out of control’ at that time, but you didn’t kick her. What stopped you?” And the client can always give me a reason. Here are some common explanations:
“I wouldn’t want to cause her a serious injury.”
“I realized one of the children was watching.”
“I was afraid someone would call the police.”
“I could kill her if I did that.”
“The fight was getting loud, and I was afraid neighbors would hear.”
And the most frequent response of all:
“Jesus, I wouldn’t do that. I would never do something like that to her.”
The response that I almost never heard—I remember hearing it twice in fifteen years—was: “I don’t know.”
These ready answers strip the cover off of my clients’ loss-of-control excuse. While a man is on an abusive rampage, verbally or physically, his mind maintains awareness of a number of questions: “Am I doing something that other people could find out about, so it could make me look bad? Am I doing anything that could get me in legal trouble? Could I get hurt myself? Am I doing anything that I myself consider too cruel, gross, or violent?”
A critical insight seeped into me from working with my first few dozen clients: An abuser almost never does anything that he himself considers morally unacceptable. He may hide what he does because he thinks other people would disagree with it, but he feels justified inside. I can’t remember a client ever having said to me: “There’s no way I can defend what I did. It was just totally wrong.” He invariably has a reason that he considers good enough. In short, an abuser’s core problem is that he has a distorted sense of right and wrong. /End alt text]
I actually do think we should discourage women from becoming housewives. Do not become financially dependent on a man. That's how a lot of women ended up dead over the years. A man gets violent suddenly and you have to choose between homelessness or potentially dying at his hand because you have an enormous gap in your resume and no degrees or certifications or anything that will help you pursue a career that will allow you to be financially independent. He owns your bank account. His name is probably the one on the car. Try and leave and he can report it stolen. Where will you go then?
And if you do become a housewife, take steps to protect yourself. Make sure you’re legally married, for starters; stay-at-home girlfriends have very little legal recourse to claim their partner’s assets in a breakup. Make sure your name is on the house deed/rental agreement, and have your car in your name, even if your spouse is paying for it. Have your spouse transfer money every month into an account solely in your name, so you can buy yourself things without needing permission, but also so you can save up to leave if needed.
If your spouse fights you on any of this, then don’t quit your job. The tradwife to poverty pipeline is real, and so is financial abuse.
also, many women/people experience controlling behaviour and domestic violence from their partner for the first time during pregnancy. don’t risk thinking “he’s just stressed, it’ll get better when the baby comes” because it won’t. neither you and your child will ever be safe with that man. get out as early and safely as you can
The thing about Miss Piggy is that she kind of has a Roger Rabbit comedy superpower where she wins nearly any conceivable fight she's in. But unlike other characters of which that's true, like say, Bugs Bunny, who tend to win because they make the opponent play the game with their rules, Miss Piggy wins because the joke is that she can beat the shit out of literally anybody.
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.
a PSA for anyone who is confused by the panic over the UK heatwaves! ☀️
the UK has an amber warning declared for a heatwave this weekend, where temperatures will reach above 30C (86F). to many, especially Americans, this doesn't seem like a notable temperature, and i've seen many ignorant posts mocking UK residents who are worried about how they and their loved ones will be affected by the temperatures.
i'd like to explain why heatwaves in the UK are different than other parts of the world, and why they cause such a panic:
🔥 because we are an island nation, our heat isn't dry: it's horrendously humid. high humidity means that your lungs need to work harder to breathe, and it's much harder for your sweat to evaporate in the air. sweating is how your body regulates its temperature, and you sweat more in humid environments. when sweat doesn't evaporate it remains on the skin, leaving you feeling hot, sticky, and ill.
🔥 our homes and buildings are built to retain heat. because the UK is so cold and rainy for the vast majority of the year, our homes are supposed to trap heat, not let it out. not only are our homes smaller on average, but between double glazing, cavity wall insulation and loft insulation, when heat hits a British home, it causes a greenhouse effect. heat just sits in our homes, and it doesn't dissipate at night, meaning we are unable to sleep.
🔥 we have no air conditioning. i have never been in a home with air-con, and very few public buildings have it (except some shops). because of the aforementioned cold, rainy conditions that affect the UK for the vast majority of the year, air-con has never received a significant roll-out here. this means that we have little to no relief from being inside buildings besides being in the shade, and few homes even have fans.
🔥 our city centres are packed and highly urbanised, which causes heat traps. because our streets and homes are often stacked tightly together, including rows of houses/buildings/etc., heat in densely packed areas has nowhere to go, and will simply sit. trying to walk through a city during a heatwave will leave you sweating and exhausted in minutes. likewise, there are limited spaces to go to cool off during these temperatures: people will literally go to the shops to stand in the fridge/freezer aisles.
🔥 our infrastructure is not built to cope with heat. during heatwaves, our tarmac melts. the rails which hold our trains bend and warp. our grass catches fire. a few years ago, airport runways cracked and lifted in the heat, halting flights. the UK is brought to a standstill during high temperatures because our cities and towns are built for colder, wetter temperatures. add in the 16 hours of daylight we get during the summer, and you have a recipe for disaster.
🔥 the hottest temperature ever recorded in the UK is 40C (104F). this was in England, and in other UK countries, it's even lower: in Wales, it was 37.1C (98.78F); in Scotland, it was 34.8C (94.64F), and in Northern Ireland, it was 31.3C (88.3F). because these are our highest temperatures, many of us are unused to the symptoms which signify heat exhaustion or heat stroke.
i need to emphasise: people die during heatwaves. i highly encourage people to read about the 2022 UK heatwaves, which saw the deaths of nearly 3000 people (many of whom were elderly). we could do nothing but hunker down and survive the heat during this time, and it was especially dreadful for anyone who is older, disabled, and/or neurodivergent. so while 30C is not unheard of in the UK, any heatwave poses significant risks, including illness, disruption to transport, wildfires, and even death.
thanks for reading, and to everyone from outside the UK who's provided useful advice on keeping cool! i'm sure we'll be alright, but i'm hoping folks won't parrot misinformation about us just 'not being able to cope with the heat' 💔
it's that special time of year where a heatwave is hitting the UK and mockery/misinformation spreads like wildfire from people who don't live here. so just some reminders for those unfamiliar with how UK heat can be deadly 💖
we're moving to an internet where children would be banned from reaching out for help and friendship online but abusive parents can post their children's every second online to humiliate and expose them for money with no pushback