Random Percy headcanon of the day from your local autistic #349: In de Rolo tradition, the Lord of Whitestone is expected to train with the Pale Guard because "a de Rolo would never ask the people to do something for him that he would not do himself for them." Percy upholds this tradition with a rigorous respect
More than "here in the Southern Hemisphere we have inverted seasons :)" thing, which is TECHNICALLY true, I would go a step further and encourage to think about that "much of the world does not exactly has a spring-summer-fall-winter season sequence as they show in cartoons"
I will scream about this to anyone who listens forever. AUSTRALIA DOES NOT HAVE "ENGLISH SEASONS BUT BACKWARDS" and the insistence that it does creates a massive layer of alienation from the natural world.
I never really realised how much difference it makes until I went to England and realised that here the change of seasons is an obvious, visible, physical change in the world. Like, everything REALLY IS orange and foggy in autumn! In spring there are flowers EVERYWHERE, so much more than any other season, and the trees really do have all blossom and no leaves. Even if it doesn't snow, in winter there's frost all the time and the trees are bare and the sky is visibly greyer all the time. You don't need to be told "this date is the first day of spring", you can SEE IT (although this is getting way messier and less precise due to climate change).
By contrast, most places in Australia the seasons we're taught feel like arbitrary categories - and is it any surprise considering they're colonial constructs? Orange-leaved autumn and blossom-covered spring is a cartoon stereotype with no relevance on a continent where ALL NATIVE TREES ARE EVERGREEN!! Snowy winters are a joke in the desert, and even sunny summers don't ring particularly true considering that much of the country is in the tropics, where summer means monsoons - not that I've ever seen the concept that WE HAVE A MONSOON SEASON taught at an Australian school.
Most Indigenous nations around Australia had six or more seasons, revolving around wet and dry times as much as hot and cold, and marked by the appearances of certain native animals and flowers. Schools need to start teaching the real seasons, and explaining that climate cycles are too complex to generalise globally, or else we will keep raising generations who view the natural world as hostile and unpredictable and climate predictions as generally irrelevent and frequently wrong - and I'm sure I don't need to spell out why that's a problem in the era of climate crisis.
i want to add that 40% of the world's population lives in the tropics, and the 4 season model just doesn't make much sense for a lot of places in there. usually it's just the wet season/monsoon season and the dry season. it's often hot year round.
the 4 season model as you and i know it is a european invention, though 4 season models aren't unique to europe! most notably china has the same type of season subdivision.
in general the way humans define seasons is largely subjective and varies across cultures. the one you were taught is not at all universal!
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.
i thought my laptop was on its last leg because it was running at six billion degrees and using 100% disk space at all times and then i turned off shadows and some other windows effects and it was immediately cured. i just did the same to my roommate's computer and its performance issues were also immediately cured. okay. i guess.
so i guess if you have creaky freezy windows 10/11 try searching "advanced system settings", go to performance settings, and uncheck "show shadows under windows" and anything else you don't want. hope that helps someone else.
hey this is apparently helping a lot of people! adding that on top of this you can also go to settings > personalization > colors and turn off transparency to also boost performance. this wasn't the Big Fix for me but might as well do that too if you're trying to optimize.
Ok I know we joke about this but I just went to the settings and first clicked "adjust for best performance" and then re-checked only 1 box:
"Smooth edges of screen fonts"
My computer was running hot before I turned everything off; the office I'm in is very warm, I could feel the heat of my CPU through the keyboard. The fans were going, not as loud as they usually get, but they were still blasting.
Y'all.
I can barely feel the warmth through the keyboard now. It's been like 2 minutes. The fan is nearly silent.
Click the Windows key and start typing "System settings", and "View Advanced system settings" will pop up. Then click "Settings" under Performance:
Then you'll see this:
TURN IT ALL OFF.
I turned "Show window contents while dragging" and then turned that off again. It's up to you.
The second best thing you can do for a Win10 computer is turn off whatever unnecessary services it's decided it needs to run in the background always. Some services it does need, but others are useless. Here's an article that goes into step by steps.
10AppsManager lets you uninstall bloatware. Winaero Tweaker lets you disable crap like Cortana/Copilot, ads, telemetry, internet search results when you search from the taskbar, and all kinds of other stuff, plus it gives you lots of other little options that are just nice to have (like, it can restore the old MS Paint program in place of Paint 3D). Both are totally free.
Oh, and check your startup programs in the Task Manager tab to make sure your computer isn't automatically starting eight million programs every time it boots. But I think people mostly know about that. (Unless this is me going "they only know one or two feldspars... and quartz of course.")
The first best thing you can do for a Windows computer is install Linux Mint. But some of us do need a few pesky Windows-specific programs. Bleh. Still, if you're up for a project, you can have both (and it's awesome). Here's an article about setting up a dual boot Windows/Mint system.
I had the incredible privilege to design this yearâs Pride Shirt from Critical Role! It features our beloved Blue Boi Dorian Storm on hos steed Coriolis. I snuck in a little favour of his lover, tied to his arm, and some sneaky Latin: âAmore fiunt hominesâ is Latin for âItâs love that makes people.â
You can find it in all the CR shops! Iâll be offering prints, too.
https://shop.critrole.com/collections/new-products/products/how-do-you-want-to-slay-this-t-shirt
Random Percy headcanon of the day from your local autistic #336: He provokes people in brawls to fight them sometimes, when he's angry. The problem is that Grog started stepping in to protect him, and Percy couldn't get him to stop without admitting he was starting fights, so he just let it happen
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 â search â 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 â perhaps even those they have requested â 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 âAI Mode,â the company will now power the whole search bar through its new Gemini 3.5 Flash model.Â
Instead of the classic list of blue links, Google Search will now also generate a custom page with an AI-generated summary of what youâre searching about, which will then trigger a conversation with AI Mode on the main page, allowing users to ask follow-up questionsâsimilar 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 âcatastrophicâ impacts on the industry, much of which relies on Google search to drive users to their websites.Â
Last year, news websites saw significant traffic declines as chatbots increasingly replaced Google search as the primary way to find sites and ask questions.Â
Small businesses also noted drops in traffic to their sites from Google, which has traditionally delivered customers. Â
Lily Ray, vice president of SEO strategy & research at Amsive, a digital marketing agency, warned as early as last year that Googleâs planned changes to search are âgoing to have a devastating impact on the Internet.âÂ
âIt 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,â she told Technology Magazine. Â
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