This is an awesome use of what is probably a master's degree if not a doctorate and I am 100% thrilled that she shared it even though it was embarrassing and she squeaked.
this is Hannah Fry, Professor of the Public Understanding of Mathematics at the University of Cambridge and president of the Institute of Mathematics and its Applications.
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
✓ Live Streaming✓ Interactive Chat✓ Private Shows✓ HD Quality
Anya is LIVE right now
FREE
Free to watch • No registration required • HD streaming
“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.”
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
✓ Live Streaming✓ Interactive Chat✓ Private Shows✓ HD Quality
Anya is LIVE right now
FREE
Free to watch • No registration required • HD streaming
"Why is it a problem if students use AI to get through college"
Because if you demonstrate to me that you're willing to set aside concern for truth, evidence, and verifying things with your own eyes whenever it happens to be inconvenient for you, I have a solemn responsibility to make sure you don't get into medical school.
Tumblr doesn't like to do this kind of ethics, so I have to phrase this carefully, but it's a question of character. And a person's character is clearest when they're being asked to do the right thing even when it doesn't matter to them.
I don't want to live in a world in which doctors and lawyers and politicians just ignore the responsibility to research and verify when it's inconvenient for them. When they're busy. When they have something they'd rather be doing. The world I live in is already too full of those people in positions of power. I'll be damned if I let there be more of them.
random PSA, I know a lot of people use duckduckgo as a Google alternative search engine, but it always kind of annoyed me when I was using it because it felt like No Name Brand Google
I have switched to using Startpage.com and vastly prefer it. for one thing, instead of displaying an "AI summary" at the top of the search results (unless you turn it off, yes I know), it displays the first paragraph of the Wikipedia article, with link, whenever it finds one that's relevant.
also a waaayyyyy better sense of design than duckduckgo
also private, European based, least annoying search I've used lately (RIP old "don't be evil" Google)
i have one of those, scraped from multiple different rec posts:
Search Engines
Infinity Search is an alternative search engine with a special focus on privacy
DuckDuckGo is a popular search engine for those who value their privacy and are put off by the thought of their every query being tracked and logged. Uses bangs, ![site] for in-page search (sells your data to microsoft and draws from fucking bing)
WolframAlpha is a privately owned search engine that allows you to “compute expert-level answers using Wolfram’s breakthrough algorithms, knowledgebase, and AI technology.” A data search engine.
Boardreader is a search engine for forums and message boards. It allows you to search forums and then filter down results by date and language.
Based in France, Qwant is a privacy-based search engine that won’t record your searches or use your personal details for advertising. Uses “&” as a bang search.
Another privacy-based search engine is Search Encrypt, which uses local encryption to ensure that users’ identifiable information cannot be tracked. Metasearch across multiple engines.
Offering unbiased results from several sources, SearX is a metasearch engine that aims to present a free, decentralized view of the internet. Can be self-hosted.
Gibiru’s tagline is “Unfiltered private search” and that’s exactly what it offers. Requires AnonymoX Firefox add-on for privacy.
Disconnect allows you to conduct anonymous searches through a search engine of your choice.
Swisscows provides fully encrypted searches to protect your privacy and security. Built-in violence/porn filter cannot be overridden.
MetaGer offers “Privacy Protected Search & Find” through its anonymised search. A plugin will allow it to be made a default.
Gigablast is a private search engine that indexes millions of websites and servers real-time information without tracking your data, keeping you hidden from marketers and spammers. Variety of filtration and refinement options for searching.
Oscobo is a search engine that protects your privacy while you search the web. By not using any third-party tools or scripts, your data is protected from hacking and misuse. Has a Chrome extension to allow use in toolbar.
https://search.marginalia.nu/ an independent DIY search engine that focuses on non-commercial content, and attempts to show you sites you perhaps weren't aware of in favor of the sort of sites you probably already knew existed. Use old-school searching rather than query-based for the best results.
https://www.mojeek.com/
https://wiby.me/ - It’s goal is to index as many personalized websites as possible, and NOT commercial sites.
https://4get.ca/ it works a lot like SearX, but honestly better. It doesn’t have its own index, but pulls from many others. I think it’s the best for research, since it allows you to search for answers from different indexes, is easy to configure, add free, and avoids censorship as much as it can.
https://www.searchenginemap.com/ for more on how search engines relate to each other.
https://yep.com/ is a crawler
https://www.etools.ch/ retrieves from Google, Mojeek, Bing, and Yandex, like Searx
https://www.dogpile.com/
https://searxng.org/ (next gen Searx)
https://luxxle.com/ - possibly conservative?
https://presearch.com/ - good for academic?
https://kagi.com/smallweb - free/randomised Kagi.
Other Searchers
www.refseek.com - Academic Resource Search. More than a billion sources: encyclopedia, monographies, magazines.
www.worldcat.org - a search for the contents of 20 thousand worldwide libraries. Find out where lies the nearest rare book you need.
https://link.springer.com - access to more than 10 million scientific documents: books, articles, research protocols.
www.bioline.org.br is a library of scientific bioscience journals published in developing countries.
http://repec.org - volunteers from 102 countries have collected almost 4 million publications on economics and related science.
www.science.gov is an American state search engine on 2200+ scientific sites. More than 200 million articles are indexed.
www.base-search.net is one of the most powerful researches on academic studies texts. More than 100 million scientific documents, 70% of them are free.https://cosine.club/ is an electronic music similarity search engine
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.
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
✓ Live Streaming✓ Interactive Chat✓ Private Shows✓ HD Quality
Anya is LIVE right now
FREE
Free to watch • No registration required • HD streaming
"This week I discovered the same pattern, executed by Google. Google Chrome is reaching into users' machines and writing a 4 GB on-device AI model file to disk without asking."
Google Chrome is downloading a 4 GB Gemini Nano model onto users' machines without consent, with no opt-in, no opt-out short of enterprise t
Bought my uncle a burger and milkshake in exchange for letting me disrupt the holiest day of the week, NFL Sunday Football, so I could install a Pi-hole and free the household of ads...the thing abt the specific boomers I live with is they told me not to trust people on the Internet but they do not understand the algorithm or online advertising and think that Facebook has their best interests at heart. And every time I have tried to explain to them that no, blorbo from my dashboard is not selling my kidneys on the dark web but Google from your capitalism is definitely selling your web searches to every advertising company on the planet, they think I am paranoid. How could their personal friend Mark Zuckerberg want anything bad to happen to them etc. I am fighting battles I did not know existed!!!
Update I have had Pi-Hole successfully installed for two (2) hours and have since learned that 40% of the web traffic in this household went to advertisements. FORTY FUCKING PERCENT. We live in hell. This is the greatest gift I have ever given my family that they will not understand or acknowledge or feel any gratitude for.
Update #2: it was rising all night but the number it finally settled on was...60%. 60% of the web traffic in this household went to advertisements. I can't tell if this high number is bc I live in Silicon Valley and probably am subject to the Algorithmic Internet in ways people outside of Silicon Valley are not or it is normal to have 2/3rds of your web traffic be ads, but it did make me set up a recurring donation of the EFF lmfao.
Okay I have had multiple people ask, so here are the useful websites that me and Beryl used to muddle our way through:
Using Pi-hole and Raspberry Pi (on the Raspberry Pi website, really good overview of what Pi-hole does)
Tumblr-archived Twitter thread about one household's experience with Pi-hole (this is what sold me on it. Also the tweets were published in 2022 and Pi-hole is actively being developed, so I think some of the teething problems he mentioned might have cleared up or are at least being addressed.)
Pi-hole website (gives broad strokes of the software and imho is not actually that helpful, however this proves that I am not making shit up)
Pi-hole documentation (read prerequisites carefully, you do NOT need the newest model of Raspberry Pi to run this thing!! You don't even need a Raspberry Pi at all, you can run it on a bunch of Linux systems however I'm very stupid when it comes to Linux and when my options are install and learn a whole ass new OS or spend $$ on a Raspberry Pi and hook it up to my TV with a wired mouse and keyboard I will unfortunately be spending money)
Privacy International's guide to setting up Pi-hole on a Raspberry Pi (bro this one saved our asses)
You guys can ask me questions if you want but I guarantee I will not know the answers bc I don't know shit about fuck, I just followed the directions and reaped the rewards. It did take us 2 hours to set up bc I'm bad at following directions (and it's kind of complicated if you've been out of the software game for a while like I have), and you do have to be sososo brave about fucking around with your internet provider's configuration. So make sure you eat before you do it!! However it has been so worth it for me so far, given that now all my devices at home are running faster and I'm not seeing any ads while web browsing. We will see what complaints my family comes up with, but I love it so far.
Also!! if you've never heard of Raspberry Pi, which I realize are not all of my followers are lost in the Silicon Valley sauce so you might not have, here's is their website and their page for using Raspberry Pi at home.
(And here is the Electronic Frontier Foundation, a nonprofit that fights for digital privacy, free speech, and innovation, if you, like me, were presented with cold hard data about your personal internet usage and suddenly realized that our internet is fully a dystopia. haha.)
After a few months with pi-hole, I recently switched to AdGuard Home. It was recommended/is co-promoted in a pi-hole discord server, and it seems to be blocking a bit more successfully/consistently for me than the pi-hole did.
I also use Blokada on my phone when I'm not home and have the Windscribe browser extension which includes 10GB of free VPN traffic and has uBlock integrated into it. (AdGuard does technically make things that do this but I like those better; ymmv).
It all takes some setup and tinkering, but I highly, highly recommend taking steps to clear out some of the internet garbage and protect your info.
The Federalist Society and Heritage Foundation picked the worst activist lawyers to legislate [from the bench] the most partial opinions to unravel the hard fought righteous advances of the 20th century. #FcukLeonardLeo
Kneading bread dough is the most grounding thing for me. So I decided to make some rolls to relieve some stress and make something nice.
@stealingyourbones has made some delightful food abominations, which taught me I can replace the water in bread with almost any liquid.
So I tried Miso.
The yeast loved it and frothed up super fast. Mixing miso broth with the egg and oil smelled funky. The dough didn’t rise any fluffier than usual but the texture feels good. Then I decided to roll in some black garlic and green onion. I’d add nori crumbled up but I ran out.
This is amazing. It tastes like if miso soup was solid. The flavor is immaculate. It’s just missing the nori flavor. I can add that next time because I am 100% making this again.
- mix in slowly with a fork until it’s hard to stir with the fork, then stir together with hands until it stops sticking to your skin when you rub your hands together.
- knead the dough about 10min until it starts pushing back (it gets springy)
Let the dough rest for 30min.
(I make a redneck proof box by microwaving a cup of water and quickly replacing the water with the dough bowl and shutting the door to give it a warm place to nap. Do not microwave the dough itself by reflex.)
Roll out the dough and add any flavors you like. For the miso soup bread I chopped up a couple black garlics, and a handful of green onion. Roll it up like cinnamon rolls, cut into 12, and roll each into a ball shape.
Stick in a greased 9x13 casserole dish and let the dough rise to double size. (About 40min-1hr depending on how warm your kitchen is.) (the redneck proof box won’t fit my casserole dish so I stick the rolls on top of the oven while it preheats with a dish towel over it.)
Preheat the oven to 350 and when the dough looks nice and squishy bake it for 20min.
You can brush butter on top if you want. That would look pretty and help a sprinkling of furikake stick after you pull it out of the oven. If you wanna up the miso taste you can also spread a very thin layer of miso paste in before you roll it up with the other fillings. I’m gonna try that next time.
Bake! Eat! Enjoy! Knead all your frustrations into the bread then cleanse it with fire! Lemme know how yours turn out 💕🍀✨🥖
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
✓ Live Streaming✓ Interactive Chat✓ Private Shows✓ HD Quality
Anya is LIVE right now
FREE
Free to watch • No registration required • HD streaming
im tired of seeing evil people thrive im tired of seeing evil people thrive im tired of seeing evil people thrive im tired of seeing evil people thrive