1. The court holds Google responsible for statements made by its AI, considering them Google's statements (search engines have limited liability for results in their engine as they're the words of other sites/companies/people), meaning when their AI lies/hallucinates they're liable for the defamation/harm resulting from those statements.
2. Google's defense that customers are generally aware of the lack of reliability and are responsible for fact checking was dismissed. As the court pointed out, that would "significantly diminish" AI Search's stated purpose and it can't be distinguished from Google's business practices/statements as a search tool.
3. Studies have found about 91% of Google's everyday AI responses are accurate, leaving millions of searches per HOUR with potential liability for falsehoods. 56% of correct responses weren't supported by the sources the AI listed. Both of which mean Google is now liable for a LOT more AI "errors."
4. Google was held liable for 80% of court costs in this case and this precedent is expected to reverberate around the world. This is a massive shift from the 3rd-party search provider role Google has previously played and it comes right as they've tied ALL searches to their AI search.
5. If the words are Google's, this solidifies the position of universities who demand that all answers from AI are fully cited. If all the in-line citations now have to be (Google, 2026), that's going to make it obvious when someone's trying to use Google as a source. There's still the difficulty with people who are academically dishonest by trying to pass off the AI writing as their own.
6. 91% accuracy is officially too low to use as a source of references, which means the AI can't be used as a source of references either. This makes it less legitimate for such purposes than Wikipedia of all places (Wikipedia might need date/time proof of when it was accessed for the reference to be valid, but at least it is possible to prove the link existed at a particular date and time).
7. This will help encourage the rollout of courses on how to avoid AI search for students who need academic accuracy, because it's statistically not good enough to use.
8. This strengthens the case intellectual property authors have against Google in the EU, as this is proof that an intellectual property transfer took place.
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there are too many things happening this summer that i'm thinking we are going to need an extra 6-12 months of june and possibly another 3-4 months of july. probably no extra august as the problem should hopefully sort itself out by then. we are also looking into extending the day night cycle to 55 hours and extending the human lifespan to 10000 years.
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 ācompute expert-level answers using Wolframās breakthrough algorithms, knowledgebase, and AI technology.ā 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 wonāt record your searches or use your personal details for advertising. Uses ā&ā as a bang search.
Another privacy-based search engine is Search Encrypt, which uses local encryption to ensure that usersā identifiable information cannot be tracked. Metasearch across multiple engines.Ā
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.Ā
Gibiruās tagline is āUnfiltered private searchā and thatās exactly what it offers. Requires AnonymoX Firefox add-on for privacy.Ā
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.Ā
MetaGer offers āPrivacy Protected Search & Findā 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.Ā
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.Ā
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.Ā
https://www.mojeek.com/Ā
https://wiby.me/ - Itās goal is to index as many personalized websites as possible, and NOT commercial sites.Ā
https://4get.ca/ it works a lot like SearX, but honestly better. It doesnāt have its own index, but pulls from many others. I think itās 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/Ā
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
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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 ā search ā 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 ā perhaps even those they have requested ā 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 āAI Mode,ā the company will now power the whole search bar through its new Gemini 3.5 Flash model.Ā
Instead of the classic list of blue links, Google Search will now also generate a custom page with an AI-generated summary of what youāre searching about, which will then trigger a conversation with AI Mode on the main page, allowing users to ask follow-up questionsāsimilar 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 ācatastrophicā impacts on the industry, much of which relies on Google search to drive users to their websites.Ā
Last year, news websites saw significant traffic declines as chatbots increasingly replaced Google search as the primary way to find sites and ask questions.Ā
Small businesses also noted drops in traffic to their sites from Google, which has traditionally delivered customers.Ā Ā
Lily Ray, vice president of SEO strategy & research at Amsive, a digital marketing agency, warned as early as last year that Googleās planned changes to search are āgoing to have a devastating impact on the Internet.āĀ
āIt 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,ā she told Technology Magazine.Ā Ā
I think quite possibly my favorite line from GLaDOS in all of the media she's been in is "Federal regulations require me to inform you that this next test chamber... Is lookin' pretty good."
The case in Memphis also challenges Tennesseeās Halo Law, which criminalizes anyone who gets within 25 feet of an officer after theyāve been warned to step away. Task force agents are invoking the law against observers who are not interfering, and sometimes forcing them back even farther than required so they can no longer see or hear. āIt unconstitutionally burdens peopleās ability to engage in gathering information and recording what task force agents are doing,ā ACLU attorney Scarlet Kim told me. [...]
The surge has not gotten much national attention in part because Tennesseeās Republican governor supports itāhe has said it will continue indefinitely. And the Trump administration has framed it not as an immigration crackdown, which would get a lot of press coverage, but as a crime crackdown. (Task force officers from other agencies are arresting people primarily for traffic violations and crimes, but they call DHS officers when they encounter immigrants.)
Demster also believes Memphis has yet to grab the nationās attention because people like him who want to get the word out are facing retaliation. Itās all part of the task forceās plan āto operate in the shadows,ā he says.
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I will be buried in my 2018 Honda Fit EX. It is lightweight and nimble like a chipmunk, plus the 55 cu ft. of space with Magic Seating (more cargo space than a Ford Explorer) resemble stretchy cheeks to transport my valuables. The 6spd manual transmission brings the beast alive and allows me to channel my rodent roots; dodging cars and scampering across streets with loaded cheeks. Driving like a squirrel on speed gets me ~33mpg but the 12 gallon gas tank really shines when paired with mixed highway/city driving, gracing me with an average of ~38mpg. I hope one day you too can remove your driver seat headrest, recline the seat, and lay down across your car seats in comfort. Or perhaps fold down the rear seats and inflate a mattress to take a refreshing nap on your lunch break. I love my Honda Fit.
i cannot even begin to describe how load bearing this video has been for my mental health lately. thank you macho man randy savage. i'll get over it but not really
Apparently it will also redownload in the background automatically without your consent, even if you delete it once. Hereās a good, detailed article about it I saw earlier:
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
That last post I reblogged got me thinking again about how people canāt separate their idea of manhood from violence.
Itās like some people are capable of imagining womanhood without submission but canāt imagine manhood without dominance. Like for some reason in their minds women can escape their gender norms and make a new definition of what gender is for themselves but men canāt.
My cishet dad has often told me that he found feminist theory to be very freeing. It told him that yes men can be gentle and caring. Yes men can be sensitive. Being a man means what you want it to mean.
Iāve met other cishet men that feel the same way. I really do like talking with cis men about gender sometimes. You really see them become a lot happier when they fully internalize the idea that being a man means whatever they want it to mean.
You get told a lot as a man āreal men do or donāt do xyzā. Iāve even experienced this as a trans man.
but the āreal manā is an impossible standard to achieve. He doesnāt exist. Heās a mythical being to strive towards. You will never be him and trying to be him will trap you in a cage.
If you think that masculinity is a prison, what you need to realize is that the bars are unlocked and there are no guards. Youāve been talked into your cage like an elephant on a string and you can open the door at any time.
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for those like me who cannot install alternative android forks on their phone because the phone in question is thoroughly unrootable, I would recommend downloading anyapk on your phone while you still can. In their own words:
anyapk is a lightweight Android application installer that bypasses Google's developer verification requirements by using local ADB (Android Debug Bridge) connections. Smoothly install any APK file on your device without restrictions, gatekeepers, or corporate approval.
If you're reading this after Google's lockdown date and are unable to install anyapk the regular way, there is a method outlined on the github linked above which tells you how to install anyapk on your phone by plugging it into a computer with ADB installed on it. Once you have anyapk on your phone, you will not have to do that ever again (unless you delete anyapk off your phone)
[Description for the second image: a post from jrepin that reads:
"Sideloading" is the rentseeker word for "being able to run software of your choosing on a computing device you purchased". There is no reasonable case for an operating system developer having a say over what programs you run on your hardware.
--Eugen Rochko of Mastodon https://mastodon.social/@Gargron/115093185284473606]
