Gather around, my young friends and fellow dinosaurs, let me tell you about some BULLSHIT no one ever tells you about. I'm talking about menopause and perimenopause. Now, menopause has a very stringent medical definition. You have to not have had a period for exactly 12 months and a day to be considered in menopause. All the bullshit before that day once you start going through The Change is considered perimenopause. Here's some bullshit you might experience that people actually talk about when you're in perimenopause:
- shorter time between periods
- irregular periods
- hot flashes and/or cold flashes
- fucked up sleep
- OMG NIGHT SWEATS
- Vagina as dry as the Sahara desert
- lighter periods and/or endless bleeding like it's The Flood but it's in your pants
- lack of interest in Adult Fun Times
This time of joy can last anywhere from a couple of years to a god damn decade and there's no medical way right now to predict it.
Here's some of the REAL bullshit they don't tell you about but your dinosaur aunt is here to let you know:
- You can start perimenopause in your 30s, don't listen to idiot doctors who tell you you're "too young" because they don't know your body like you do.
- Perimenopause will make you HELLA DUMB. Seriously, I'm talking Bigly broken brain. Brain fog? Check. Short term memory? Wave goodbye to it. Ability to make words form out of thoughts? Yeah, good luck to you.
- Perimenopause can cause horrible fatigue because in addition to losing estrogen, you're also losing testosterone. Oh and that also leads to muscle wasting, cool cool.
- Things might suddenly hurt more because estrogen is known to be neuroprotective.
- If you're super lucky like I am, and like to collect rare illnesses, you might even get Burning Mouth Syndrome 💀
- And meanwhile, while you're going through this bullshit, you'll be getting gaslit by doctors who are operating based on 30 year old debunked data about how HRT causes breast cancer (not really) and that they shouldn't put you on it until you're in actual menopause. (Data shows starting HRT early can potentially prevent Alzheimer's in later years.)
- There are entire online clinics right now (I use Midi Health) focused on providing care for peri and menopausal patients and they will happily prescribe you HRT even if your regular PCP or OBGYN do not (if you meet the criteria). I've been pretty impressed with how holistically they view the patient. For full disclosure, I learned about them from my integrative health doctor and they do not accept Medicare (yet).
I'm 46 years old right now and I've been symptomatic for perimenopause for the last 8 years, although it's gotten the most dramatic in the past 2 years or so, which I hope means I'm almost done, holy hell. Yeah I was on the early side, but if it can happen to me, it can happen to you, so it's never too early to think about these things. And I hope to at least spare some of you the mind-fuckery I've been through because no one told me about most of this stuff, including my own mother who just DOESN'T REMEMBER what happened to her and now I completely understand why. And because I also have a connective tissue disease, I used to just dismiss my pain and fatigue as being caused by that illness rather than the loss of hormones.
Anyways, this is why we need Elders in our lives, so they can do Grandma Story Hour like I just did and validate you when the entire medical field tries to gaslight you. I hope you've found some or all of this educational/useful. Please share with your friends because we really do NOT talk about this stuff enough. (Ewwww Moon Blood!)
Stay well, and don't let the bastards grind you down!
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.
hudson williams will forever be the first person in history to ever accept a major acting award by noting that the character he portrays loves getting fucked in the ass. nobody can take that from him
listen i love HR as much as the next gay and Hudson's speech was great but we can't be rewriting gay history like this on the very first day of pride month 💀
Hudson Williams | Best Lead Performer in a Drama Series
I didn't write a speech but I do have a little thank you list. Immediately to all the other nominees, it's just an honor to be nominated alongside you. I'm honored to be Canadian and this is fantastic.
Happy PRIDE to all my dearest LGBTQIA+ friends. Wishing a joyful Pride Month to everyone, whether you identify somewhere on the sexuality spectrum or prefer not to define your sexuality or gender identity. Happiest Pride to all those who are unable to celebrate openly and safely. You are loved and you are seen. I hope this month will only be filled with joy, happiness, love and celebration. Not just this month but every day to come. I hope we can all wake up to a brighter, more open minded, compassionate and safe future. Happy Pride Month. Love without limits.
These were just some of my memorable moments in queer media 🌈
It's fort letting his intrusive thoughts win and suck Peat's finger on impulse. He must've forgotten where he was. lmao, so sudden it's the way the staff and p'tao are like 😮
And peat not saying anything lol, but fort immediately washing it off for him?!😂😂
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