You are responsible for curating your own online experience.
If something upsets you, makes you angry or queasy or triggers you, stop reading/looking at it. Avoid things that might make you feel that way.
Learn to use the Sort and Filter function on AO3, especially the Exclude tools.
On social media, block and mute accounts / tags / words when necessary.
If you hated something, you don’t need to tell that to the creator or start pointing fingers at them publicly.
The Back button is free. Use it.
Addendum:
Yes, for this to work, creators need to tag their works accordingly, so that people know what sort of content they are about to engage with and can nope out if necessary.
I will probably make another PSA about the importance of proper tagging later.
Ship And Let Ship
or SALS
You are allowed to ship whatever you want.
Everyone else is also allowed to ship whatever they want.
You are entitled to dislike or even hate a ship. If you want to do this online, in public, don’t use the ship tags for hate posts.
If you see someone posting about a ship they like and you don’t, there is no need for you to start arguing with them in their replies / comments / QRTs / reblogs. Don’t throw your hate in their face.
Do not harass fan creators or fans for shipping something you disapprove.
All of this also applies to liking / disliking an individual character.
Addendum:
”I agree with this, except when…”
No, then you are NOT agreeing with this.
Let me make this VERY clear. There are NO exceptions. None.
You don’t EVER harass real people over pixels.
If you disagree with this, kindly block and move on.
Your Kink Is Not My Kink
or YKINMK / YKINMKATO
The longer version is ”Your Kink Is Not My Kink And That’s Okay”.
People have different tastes. Not everything is for everybody.
Even if you don’t like a specific kink, other people are still allowed to use it in their creations.
You are entitled to dislike kinky content and think that it’s ”weird”.
Don’t kink shame or judge people based on their kinks.
This goes both ways: your kink is not someone else’s kink, so don’t push it onto those who are not into it.
Be Kind
or Don’t Be An Asshole
Focus on the things you like instead of the things you hate.
Create and unite instead of destroying and dividing.
Don’t harass real people over fictional things.
Stop stirring up petty drama just to get some attention on social media.
Stop trying to ”win”. Fandom is not a competition.
Remember that your own experiences aren’t universally shared. Your perception of things can differ from someone else’s, but that doesn’t mean either of you is necessarily wrong.
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.
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.
The "Block AI Enhancements" toggle was originally introduced in Firefox 148 Nightly in January following significant community backlash afte
The Firefox "AI kill switch" is here.
Go to Settings > AI controls. There, you can toggle the "master kill switch" on to fully block all the features, which means two things:
you won't see them,
you can't even be asked about them.
The default state is, like before, "available". This means the features are NOT on by default (they never were), but Firefox will let you know about them where they exist (e.g. when you create your first tab group) so that you can choose to opt in.
Please note that Firefox for Android or iOS have never included AI features, so you won't see these settings on your smartphones or tablets.
Please also note that, unlike popular belief here on Tumblr, besides "chatbot in sidebar" (which is simply embedding the same page you'd have normally browsed to), none of these features have ever interacted with anything outside your PC, because they download a small model to your computer, to do everything locally. These small models have never been and are not downloaded until you explicitly agree to turn on one of the features.
This was intentionally manufactured by Facebook. Facebook implemented it’s “accountability culture” starting with its rule about only using your real name and photo on its service and encouraging you to disclose other information in your profile, and from there it just got normalized. It was entirely to gather data for advertising purposes, but now we associate that level of openness with “accountability”. Entire generations are now being raised with this as the norm. Privacy is no longer a priority, or even really seen as an option.
This is to your detriment. Your privacy protects you from predators of all kinds. You really should be guarding it carefully. Disclose what you feel is important on a case by case basis, but even your mental health status and beliefs are exploitable by big business and small-time bullies and abusers alike.
Even if you’re not overly fussed about what people know about you, just understand that not everyone has the luxury of feeling the same. Some people have stalkers and abusers they’re trying to evade, or don’t want to attract new abusers into their lives by being that vulnerable and open again. Some people have extreme social anxiety. Some people are protecting other people in their lives. Some people just don’t want their grandmothers to find their smutfics. Some people are Internet privacy advocates who keep their details private as a political statement and as a matter of principle.
You are not entitled to anyone’s information, and you do not owe anyone yours. You are allowed to just be an anonymous username until you feel safe to disclose more.
$50,000 immediately dropped into my bank account wouldn't improve EVERYTHING but boy it sure would be a grand, sexy little start to a good, happy life path, don't you think
here's the story. i know expressvpn has been recommended in some 🏴☠️ how-to posts but it is not trustworthy. the parent company, kape technologies, not only used to distribute malate but has ties to multiple state surveillance agencies. and be careful where you look for info about good vpns, because kape technologies owns a bunch of "vpn review" sites too
Copyright class actions could financially ruin AI industry, trade groups say.
AI industry groups are urging an appeals court to block what they say is the largest copyright class action ever certified. They’ve warned that a single lawsuit raised by three authors over Anthropic’s AI training now threatens to “financially ruin” the entire AI industry if up to 7 million claimants end up joining the litigation and forcing a settlement.
Authors have until March 30th, 2026 (That is just 9 days as of this reblog, which I am posting on March 21st, 2026) to file their claim against Anthropic to be reimbursed up to $3,000 per work found in the list.
Updated February 18, 2026 IMPORTANT: The Claims Deadline Is March 30 Background Bartz v. Anthropic is one of the major copyright lawsuits b
Please click the above link for all of the exact details of how to file a claim and to check for your works, and share this post as far and wide as you can before March 30th, 2026!
If you are on a Windows 11 computer, pause everything you are doing for one minute and:
Open computer settings
Click on Accessibility on the left-hand menu
Scroll down the Accessibility menu and click on the Keyboard Option
Under the "related settings" tab, click "Typing" which should have a description of "spellcheck, autocorrect, text suggestions."
Turn off the AI "correct misspelled words"
and most importantly: turn off Typing Insights.
[ID: a screenshot of the above mentioned Windows 11 settings, showing that Typing Insights is now turned off, with the following description from Microsoft:
"Windows is using artificial intelligence to help you type
To help you save time and type efficiently, Windows can learn to suggest words, autocorrect spelling mistakes, and interpret swiped typing. Take a look at the insights below to see up-to-the-minute stats on how Windows has learned to improve typing for you. These stats are stored only on this device and Microsoft does not collect the typing insights data."
End ID]
"But Mx. November, it says right there Microsoft doesn't collect the typing insights data!"
I mean, yeah, it says that..... for *now.*
It also only specifies that Microsoft themselves don't collect it, and they wouldn't have made this something that I was automatically, secretly opted in for without my knowledge if they didn't have something to be gained by me not knowing it exists!
I only found this because a cat walked on the keyboard and turned on Filter Keys and while trying to figure out why my keyboard was just making chirping noises instead of typing, I happened to click on "typing insights" by accident.
Generative AI, and especially AI that is used to "personalize" and track your activity across the web and on your computer are never going to be in your best interest, it is always going to serve these companies in whatever way will line their pockets the most, and all it takes is updating their terms of service once, and then all of that data they promised they weren't collecting suddenly all belongs to them.
The "Block AI Enhancements" toggle was originally introduced in Firefox 148 Nightly in January following significant community backlash afte
The Firefox "AI kill switch" is here.
Go to Settings > AI controls. There, you can toggle the "master kill switch" on to fully block all the features, which means two things:
you won't see them,
you can't even be asked about them.
The default state is, like before, "available". This means the features are NOT on by default (they never were), but Firefox will let you know about them where they exist (e.g. when you create your first tab group) so that you can choose to opt in.
Please note that Firefox for Android or iOS have never included AI features, so you won't see these settings on your smartphones or tablets.
Please also note that, unlike popular belief here on Tumblr, besides "chatbot in sidebar" (which is simply embedding the same page you'd have normally browsed to), none of these features have ever interacted with anything outside your PC, because they download a small model to your computer, to do everything locally. These small models have never been and are not downloaded until you explicitly agree to turn on one of the features.