not to be a hedonist but. pleasure IS the whole point, my loves. we are made for pleasure. humans have not survived out of spite or sheer grit or simply to make more humans. we live for pleasure. the pleasure of licking the last delicious crumbs off your fingers and feeling sunlight on your skin and massaging a loved one's shoulders. we're made to fill our bellies with delicious food, to nap in soft grass, to touch each other in joy and comfort.
there is no shame or guilt in our bodies doing what they were made to do. and we are made for pleasure.
PLEASE watch How To Get To Heaven From Belfast. It's a murder mystery and comedy by the creator of Derry Girls. it's got intrigue. It's got three women entering their 40s struggling with grief, guilt, anxiety, ptsd, and keeping secrets. One of these women is a neurotic tv writer, one is a repressed catholic butch lesbian, and one is a mother of three boys desperately trying to handle her anger issues while keeping her manicures looking fantastic.
All of the one-off and side characters are bizarre, disconcerting, or just plain weird and I love all of them. The murder mystery is one of the only one's I haven't been able to figure out before the last episode. It's colorful, it's suspenseful, and it's some of the best mystery writing outside Knives Out. It's so great to see women written as messy and strange and loveable and flawed as the ones in this show. I highly recommend watching it because I would love to see more shows like this out in the world.
“Because the truth is, tech doesn’t have an image problem. It doesn’t have a message problem. It has an intention problem. What’s wrong with the axe murderer who broke into my house is not that he hasn’t successfully persuaded me to buy into his narrative. What’s wrong is that he’s trying to kill me with an axe. Similarly, when you launch a product that’s designed to put millions of people out of work, block access to sources of verifiable truth, replace human creativity with slop, and lower the barriers to every sort of atrocity, the problem isn’t that you haven’t told the public a good story about those things. The problem is that you are trying to do them.”
I was thinking of reblogging this again just because the original video is still amazing, but then I see the second video and lost my mind. The upgraded fan, the body glitter, the sheer fact that he got to do this with the actual singer.
Here is an article from NPR about it (May 22, 2026):
Carolina Milanesi, an independent technology analyst, said Google is trying to make its cash cow business — search — richer and more personalized, and it will make shopping easier. But there is a risk that users may have fewer choices about what to click.
"Right now it's: I ask a question, I get a bunch of answers and I feel that I'm in control as to which answer I take, or if I'm looking for something, which product I'm going to end up buying. That is going to be less so going forward," she said.
Milanesi envisions AI-enabled search and agents proposing products to consumers — perhaps even those they have requested — but with less clarity or choice around where it's coming from.
"If you're going to say: 'I want a pair of Jordans, go find them,' you're not necessarily sure what steps have been taken and whether the AI has used a source or a store that was paid for and therefore came up in the search results," she said, "or if AI actually went and did their due diligence and picked the best for me as a customer."
And here's one from Time magazine (May 20, 2026):
While Google already has “AI Mode,” the company will now power the whole search bar through its new Gemini 3.5 Flash model.
Instead of the classic list of blue links, Google Search will now also generate a custom page with an AI-generated summary of what you’re searching about, which will then trigger a conversation with AI Mode on the main page, allowing users to ask follow-up questions—similar to the kind of layout you would see when opening ChatGPT.
And a little more from Time's article on how this may affect the websites that we are trying to search for:
When Google first started implementing AI-assisted results, news publishers warned of “catastrophic” impacts on the industry, much of which relies on Google search to drive users to their websites.
Last year, news websites saw significant traffic declines as chatbots increasingly replaced Google search as the primary way to find sites and ask questions.
Small businesses also noted drops in traffic to their sites from Google, which has traditionally delivered customers.
Lily Ray, vice president of SEO strategy & research at Amsive, a digital marketing agency, warned as early as last year that Google’s planned changes to search are “going to have a devastating impact on the Internet.”
“It will severely cut into the main source of revenue for most publishers and it will disincentivize content creators who rely on organic search traffic, which is millions of websites, maybe more,” she told Technology Magazine.
Heh Fine so it’s time to stop using it completely. I hope were all serious though and they will face a decrease of use of their search at least the size of this post’s note count?
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.
as a welsh person i want you all to accept that W is a vowel because honestly it makes pronouncing acronyms so much easier. wlw becomes ‘ooloo’, wjec becomes ‘oojeck’, love yourselves and stop giving us shit when we tell you welsh has 7 vowels. english actually has 15 vowel sounds but because y’all only use 5 letters you have to rely on a spelling system devised by satan
“ #okay but can any of y'all even pronounce your own town names tho? #bye”
yeah, we can actually because the spelling is phonetic. meanwhile english folks have placenames like bicester or keighley or beaulieu, which you have to learn the pronunciation for individually because the rules are so inconsistent. i mean people can’t even agree how to pronounce marylebone but sure welsh place names are the weird ones
“#But are you aware your language literally looks like a potato rolled across a keyboard”
fun fact: for decades children were beaten for speaking welsh in school, even in areas where english was barely spoken, because the government decided in 1847 that the language made people lazy and immoral
fun fact: welsh orthography is actually easy to read if you take your head out of your arse for one minute and learn our alphabet - just like french, or spanish, or korean, because surprise! languages use different spelling systems that are not based on english. novel, i know - and in the 18th century, travelling schools were able to teach people to read and write welsh in a matter of months, so that wales enjoyed a literate majority, a rare thing in europe at the time
fun fact: the english have been taking the piss out of welsh for years, just like they’ve been doing for irish, and scots gaelic, and cornish, and british sign language, and a hundred and one other languages, because evidently the fact that the whole world isn’t anglophone and monocultured and Still Part Of The Empire is a problem, and something that needs to be corrected
do americans really think most people's world maps are drawn with them in the middle?? That is the 100% normal standard world map. I am in australia and all our maps look like that.
it’s funny how we’re getting to the point in the AI lifespan where you can feel the desperation from tech companies to have you use their AI features. instagram has moved their AI effects to the top of the menu when you’re creating a post for your story, exactly where the draw/edit button used to be. gmail is creating one-click AI-generated replies right before you open up the text box. spotify put a beta AI playlist generator on the front page that looks just like a search bar so all of their users accidentally click on it when they go to search for a song.
tech companies are shaking in their boots trying to prove to shareholders that their investment in AI is worth it, to the point where they’re tricking their users into using the AI features even for a split second in order to fudge the numbers. like awww is your little environment-destroying toy not wielding the results you hoped for? so sad!
