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.
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.
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.
Jesus Tapdancing Christ... THIS is a good welt pocket and the people who designed Simplicity 2895 ought to be blasted well ASHAMED of themselves for the crap way THEY wanted a welt pocket made. *SNARLS*
This is how I learned to do it and a good example of what you want to see in a short form tutorial: pinning, pressing, seam finishing, good fabric handling.
I would mention that you can make the pocket facing with a small panel of your matching fabric that is visible and the rest in a lighter fabric to reduce bulk. That's a lot of denim layers for comfort.
Awesome video displaying phenomenal craftsmanship—posted by one of my favorite Tiktok accounts: Tlingit_Haida
Aani (the land known as Southeast Alaska) has been home to the Tlingit and Haida Peoples since time immemorial
Edit: To clarify, this particular video features Git Hoan Dancers, of the Tsimshian Tribe. They say so in the video, but I realize my caption about the Tlingit and Haida Nations might cause confusion.
as a former escape room host i highly recommend doing an escape room as a first date. its a great way to learn how ppl react under pressure and how well they collaborate with you right off the bat. also more than once ive seen people enter an escape room as a couple and exit broken up LOL its a fantastic litmus test
sorry to broadcast ur tags but this is also a valuable part of the litmus test! it seems like you learned a lot about how this person makes you feel in their social group. they didn't go out of their way to include you, and neither did their friends. therefore you can come to a pretty good conclusion about how you might feel being part of their life outside of an escape room; someone who doesnt include you or your feelings in a game is likely going to do the same in other situations
You there! Federal museum professional educator or FEMA climatologist or NOAA metereologist or CISA cybersecurity specialist or Army civilian logistics employee. How would you like to work for ICE? No? Not interesting? You’re working for ICE now. You’re working for ICE or you’re quitting. You don’t get a choice. You’re an ICE brown shirt or you’re out of a job.
This is not hyperbole. This is happening across the entire United States government.
Today my museum announced three employees are ‘surplus’ and have been offered jobs with ICE.
The Army is deactivating two commands and combining them. The surplus civilian employees from this merger? Sent to ICE.
FEMA has been forced to transfer employees to ICE mid-hurricane season.
100 Federal Air Marshals are being offered to ICE. 250 IRS agents are detailed to ICE. The Postal Inspection Service too. 2,000 people from the Justice Department - FBI, DEA, etc - and Department of Defense civilians are now being authorised to be transferred, either to ICE or military operations like the border or the occupation of DC.
More than 6,700 personnel have been reassigned to ICE. 80% of the ATF has been ordered to focus on immigration instead of their other work. 24% of the Diplomatic Security Service.
Nobody wants to work for ICE, nobody wants to be la migra. So they’re forcing it to happen at all costs.
At this point they're so desperate that they're taking people who can't pass the physical requirements or an open book test and they've had multiple people start training before their background checks are complete, then they come back with disqualifying criminal backgrounds or failed drug tests.
Push-ups, sit-ups, and a brisk jog pose a threat to Trump’s deportation campaign.
According to DHS, all recruits must meet the agency’s Physical Ability Assessment standards as a condition of employment.
The agency is flush with cash and hiring a lot of new personnel to satisfy Trump’s mass deportation plans. It’s not going well, though.
The recruits have had criminal backgrounds or failed drug tests or were unable to meet physical or academic standards, raising concerns abou
In 1930 the Indiana Bell building in Evansville, Indiana was moved over 34 days the 11,000-ton building was moved 16 meters from its original location and rotated 90 degrees, a process that was completed in mid-November 1930, without interrupting or the service of calls nor the supply of gas, water, and electricity of the building. Over a month, the structure was moved 15 inch/hr all while 600 employees still worked there. According to reports, ‘no one inside felt it move’
The move was planned by engineers Bevington, Taggert & Fowler, while contractors John Eichlea Co. carried out the feat.
hmmm,i thought this was kurt Vonnegut jr's dad but it was his grandfather bernard,according to this. which is right? maybe they both are but incomplete.
Did you know that between October and November 1930, architects and engineers rotated a building in downtown Indianapolis without disrupting
September 28, 2025 - In the largest pro-Palestinian protest in Germany ever, 150.000 people took to the streets in Berlin to demand an end to the genocide of the Palestinian people by Israel, and German complicity in it. [video]/[video]
Instead of True Crime, there should be a genre called True Law. everyone researches heinous acts of cruelty that were entirely, perfectly legal & sanctioned by the governments of their countries. Instead of True Crime’s freakish eugenicist obsession with “The Criminal Mind” (as if “criminals” are a biologically different species) —-the True Law podcasters could describe horrific acts of violence committed by police officers & prison guards & soldiers &etc, and breathlessly attempt to understand the twisted mysteries of “The Legal Mind.” It’s necessary, for Equality
"In the instance an employer makes an illegal request for a photograph as part of a job application, you may submit a complaint to the United States Equal Employment Opportunity Commission." Successful violation fee collections are paid partially to the one who suffered the violation, which in many cases exceeds a year of work at these shit jobs. There's only two weak points to a corporation, and those are in the budget and in the supply chain. Hit them where it hurts.
With Canada Post on track to lose $1.5 billion in 2025 and contract discussions between the union and the corporation stalled, the federal g
TLDR:
ending home delivery and converting the remaining four million addresses that still receive it to community mailboxes (with some limited home mail service for disabled and mobility-limited individuals)
lifting the 1994 moratorium on closing rural post offices that covers nearly 4,000 locations (government argues that many of these locations are no longer rural)
reviewing the process for how it increases the price of stamps to make it more flexible and quicker
government argues that domestic letter delivery has declined from 5.5million to 2.2 million in the last 17 years, and current volume cannot support existing infrastructure
CUPW declared a strike in response to the announcement
I am begging any Canadians who follow me to msg their MPs, or local politicians and obvs complain to Canada Post about the corporation and not the workers.
They are trying to lay off from 30,000 to 15,000 in Vancouver alone.
They are making it harder for people to grieve (as in report) work safety, sexual/race harassment, breaking labour codes.
They are trying to remove a lot of safety nets financially.
If you live in a rural area or are just disabled, this will GREATLY affect you!
They will make things that were generally lost cost or free away because it no longer needs to be a Crown Corporation.
Passport mailing/shipping will spike.
As a trans masc who discovered they had CERVICAL CANCER upon my first adult check up at 22, please yall, get checked out even though it’s hard. You deserve care.
