Transphobia is about to be signed into law in the UK. We can fight this.
I am begging the UK trans community and its allies to attend the Mass Lobby at Parliament on June 25th, 11am-4pm, organised by Trans Solidarity Alliance.
Last year we broke the record for an LGBT+ mass lobby of Parliament. Will you help us break it again? Join us on 25th June 2026 to demand be
The new EHRC Code of Practice pushes trans people out of toilets, hospital wards, and community spaces. It normalises gender policing based on appearance and stereotypes. It becomes statutory guidance in the UK by the end of June.
Trans people are now legally their assigned gender at birth and must join gendered spaces accordingly, but if they are perceived as their lived gender, they can also be ejected from those spaces. The guidance says: either break the law, or don’t pass too well.
A mass lobby is where you invite your MP to discuss your concerns with you in-person. Ask your MP to:
Demand full parliamentary scrutiny, debate, and use their free vote on the EHRC Code of Practice.
Support any motions rejecting the EHRC guidance. As of June 4th, Labour MP Nadia Whittome has submitted a prayer motion - Early Day Motion 240.
Write to Bridget Phillipson, the Minister for Women and Equalities about our concerns
Your MP does not have to be an ally, they do not have to respond to your email for you to show up and greencard them (details below the cut.) What matters is that as many people as possible show up.
I cannot stress this enough: Showing up in person matters. It is much more effective than petitions, emails, and letters.
It is a horrible, stressful time, and I am so sorry if you're trans and live in the UK. But I was at last year's mass lobby and the line for greencarding alone stretched around the back gates. It was a record breaking mass lobby and made us impossible to ignore. Let's do even better this time. Details under the cut:
Worried about what to say?
Bring your personal worries about transphobia being signed into law, and trans friends being excluded from public spaces. You are a living person who deserves dignity. Remind your MP of that. You will also get guidance and brochures from Trans Solidarity Alliance that outlines our demands. This is mine from last year.
Money issues?
Trans Solidarity Alliance provides a travel bursary that you can sign up for via the link.
Got a refusal or no response from your MP?
Come anyway! You can request a same-day appointment with your MP through a process called greencarding. They will come and see you if they’re already in Parliament. Even if they don’t, they’re made acutely aware of your cause because you showed up in person. This is my greencard from last year.
Here is the EHRC Code of Practice in full. It's a tough read, but some highlights are:
Organisations can’t provide trans-inclusive, single-sex services, or they risk being sued for discrimination.
e.g. domestic violence support for women including trans women, men’s rugby group including trans men (12.68).
Trans people will have nowhere safe to pee.
If you’re a trans man, businesses can't allow you to pee in the men's, and you can also be ejected from women’s bathrooms if you’re perceived as a man. Vice versa for trans women. EHRC suggests a ‘third space’ bathroom, which is discriminatory and unworkable for most businesses. (13.130-133)
Sports organisations must exclude trans people from single-sex competitions (13.73).
A women’s only sports competition must exclude trans women because of their biological advantage or face potential lawsuits (13.74), but a trans man who has undergone testosterone treatment can also be excluded based on fairness rules (13.81).
Trans women are stripped of the legal definition of ‘lesbian’, and therefore no longer have legal protections if they’re discriminated against on the basis of sexual orientation. (2.50, 2.92).
Here is the Good Law Project's better explanation of the EHRC Code.
I have also made a PDF printout of QR codes for the government petition, email your MP tool, and mass lobby link to pass around your communities. DM me and I'll send it to you.
i get that americans love their cultural imperialism, but it really does piss me off that june is “international” pride month just because something happened in the united states.
in aotearoa, june isn’t our pride, it’s theirs. marsha p johnson and sylvia rivera are their historical figures, not ours. the phrase that “you owe your rights to Black trans women” is true there, but here we owe our rights to (mostly) Māori historical figures. i have the freedoms i do because of the legacy of an entirely different set of people operating in an entirely different context at entirely different times.
But because of american cultural imperialism, most queer people in Aotearoa don’t even know our own queer history. Carmen Rupe, Ngahuia Te Awekotuku, the Dorian Society, Gillian Laundon, Georgina Beyer, and the Wolfenden Association are some of our queer history. We should know their names! we should know what they did for us! but because of the power of the american imperial machine, we don’t.
our national pride month should be july, the month that the Homosexual Law Reform Act passed in 1986. our two largest cities hold their pride festivals in february and march, respectively. american queer history has very little (or nothing, depending on who you ask) to do with our queer history. anecdotally, from my own queries, queer youth in aotearoa know more about american queer history than our own.
anyway, happy pride, americans. i’m truly sorry that most of you don’t see the negative impact your nation’s culture has on the rest of the world. and to the rest of the world reading this, try searching for your own country and culture’s queer history, don’t accept the american narratives as your own. we deserve our own histories divorced from the cultural hegemony of the USA.
given the current climate this pride especially i feel i must mention that i love my trans friends, i stand with trans people in the fight against transphobic legislation and those who would enforce it, and this blog is not a good place for you to be if you do not vibe with that
Further context: Durham city council (Reform UK) cut funding and support for Pride. The Durham Miner's Association and other trade unions raised enough money for Durham Pride 2026 to go ahead - a direct call back to when Lesbian and Gays Support the Miners (LGSM) raised money for mining communities when Margaret Thatcher seized union funding during the miner strikes of 1984-85.
At the 1985 Labour party meet, the motion to support LGBT rights as a party was passed due to a block vote from mining unions.
Stephen Guy, the chair of the Durham Miners’ Association, said that when it became apparent Durham Pride was under threat, he took it upon himself to “encourage the trade union movement to step up and do the right thing, and stand shoulder to shoulder with the LGBT+ community […] They not only raised funds for us, but came to our communities, uplifted our spirits when they were down, and showed their solidarity.”
90% of google search ai summaries feel like this guy leaning uncomfortably over your shoulder and pointing at stuff on your screen reading out the exact same text you're already looking at
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.
haha yeah man female dogs are bitchy and female horses are bitchy and female cats are bitchy and female ferrets are bitchy and female rats are bitchy and female guinea pigs are bitchy and female birds are bitchy and female rabbits are bitchy and female everything is bitchy. lol! isn’t it so funny how you think that! isn’t it so silly that this is your perception of literally every species! haha! i’m sure there’s nothing to unpack there! i’m sure you’re 100% accurate and unbiased in your conclusion that female animals are just inherently evil! i’m sure you have very normal thoughts about human women too! teehee! isn’t everyone laughing! isn’t it so goofy!
women’s bodies weren’t “made” to do anything, nature didn’t “intend” anything, no human action is “unnatural” and there is no inherent “purpose” to a human life
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