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>First, we’ve discovered that about a quarter of all the internet connection in or out of the house were ad related. In a few hours, that’s about 10,000 out of 40,000 processed.
>We also discovered that every link on Twitter was blocked. This was solved by whitelisting the https://t.co domain.
>Once out browsing the Web, everything is loading pretty much instantly. It turns out most of that Page Loading malarkey we’ve been accustomed to is related to sites running auctions to sell Ad space to show you before the page loads. All gone now.
>We then found that the Samsung TV (which I really like) is very fond of yapping all about itself to Samsung HQ. All stopped now. No sign of any breakages in its function, so I’m happy enough with that.
>The primary source of distress came from the habitual Lemmings player in the house, who found they could no longer watch ads to build up their in-app gold. A workaround is being considered for this.
>The next ambition is to advance the Ad blocking so that it seamlessly removed YouTube Ads. This is the subject of ongoing research, and tinkering continues. All in all, a very successful experiment.
>Certainly this exceeds my equivalent childhood project of disassembling and assembling our rotary dial telephone. A project whose only utility was finding out how to make the phone ring when nobody was calling.
>Update: All4 on the telly appears not to have any ads any more. Goodbye Arnold Clarke!
>Lemmings problem now solved.
>Can confirm, after small tests, that RTÉ Player ads are now gone and the player on the phone is now just delivering swift, ad free streams at first click.
>Some queries along the lines of “Are you not stealing the internet?” Firstly, this is my network, so I may set it up as I please (or, you know, my son can do it and I can give him a stupid thumbs up in response). But there is a wider question, based on the ads=internet model.
>I’m afraid I passed the You Wouldn’t Download A Car point back when I first installed ad-blocking plug-ins on a browser. But consider my chatty TV. Individual consumer choice is not the method of addressing pervasive commercial surveillance.
>Should I feel morally obliged not to mute the TV when the ads come on? No, this is a standing tension- a clash of interests. But I think my interest in my family not being under intrusive or covert surveillance at home is superior to the ad company’s wish to profile them.
>Aside: 24 hours of Pi Hole stats suggests that Samsung TVs are very chatty. 14,170 chats a day.
>YouTube blocking seems difficult, as the ads usually come from the same domain as the videos. Haven’t tried it, but all of the content can also be delivered from a no-cookies version of the YouTube domain, which doesn’t have the ads. I have asked my son to poke at that idea.
Seriously, get and run PiHole if you can. It changes your internet experience so much for the better. I get shocked when I visit a website when I'm someone else's network, by just how many ads the internet is flooded with now. Take back control.
I do think DC Blackout should have continued. Stick to your guns or what? I had a lot of caveats for it and couldn't myself have carried it out all the way as, like most people, there were still people I wanted to support, but you need these extremes sometimes to tow the mid-line forward. Not everybody is going to agree with all of it but to me personally, that's part of the metacontextual point. Outside of the people who initiated it, however much I may have after the fact started consciously picking at their list of demands, the greater context is that people were calling for a boycott period, where any individual agrees with it or not. And that, in theory, is a pretty big deal. Whether I've personally come to feel like it was done right or not (said with fair ignorance of much of the 'insider' elements that seem to have pulled the movement apart from within).
Australia contains some of the world's oldest surviving rock art traditions, with cultural landscapes stretching back tens of thousands of years. This visual guide explores the remarkable diversity of Aboriginal rock art across the continent, from the elegant Gwion Gwion figures and powerful Wandjina ancestors of the Kimberley, to the X-ray paintings of Arnhem Land, the Quinkan spirits of Cape York, the petroglyphs of the Pilbara, and the stencil galleries of Carnarvon Gorge.
Each region developed its own artistic language, reflecting local Dreaming stories, ancestral beings, Country, and cultural traditions. Together these rock art traditions reveal the depth, sophistication, and continuity of the world's oldest living culture.
Discover how Aboriginal rock art connects people, place, spirituality, and history across Australia.
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The model has been to put intelligence behind a paywall since the dot-com bubble burst, since news sites began more collectively putting articles behind a paywall in 97. Hell, since before that. Its always been the case. ALWAYS!
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DCBLACKOUT: The DC Comics Boycott Explained #dcsowhite
I think it should be mentioned though that if you're doing this, it would be important to pick up what's already been ordered so you don't screw over your comics shop. Those items already count for sales for a publisher. The FOC for them has happened already and DC has already made those single-issue and pre-order sales up to three months out. By not picking them up, the only person you'd be doing any harm is the storefront that might even feel the same way as you.
I'd also say, giving a title immunity fron cancelation shouldn't come built-in to its release plan but rather be something that is on the table if the first arc of issues meets or surpasses a certain threshold of sales. The sales of the first four to twelve issues of Poison Ivy, Green Arrow, and Birds of Prey are probably good base lines for that. There has to be some form of quality quantifier so its not just this dead duck floating across the water that nobody is enoying.
Plus, me, I'm still picking up the Dream Girls books. I think this works more in abstract but there are certainly various details that would make sense to be different for each person and the works of real humans and livelihoods that one might want to support in the meanwhile, people who are possibly relying on their visibility within Marvel/DC to help their name recognition when it comes to further selling their independent works. But then, what is a boycott? Obviously, its not a flat discussion.
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.
The idea that it would seems tied idealogically with functionary self flagellation and the sense of inherent purity and validation created and encouraged by that particular sense of religiosity.
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"While those working at private companies can at least earn a little money, they face possible punishment if they refuse, from being denied family visits to being sent to higher-security prisons, which are so dangerous that the federal government filed a lawsuit four years ago that remains pending [note: article is from 2024], calling the treatment of prisoners unconstitutional.
Though they make at least $7.25 an hour, the state siphons 40% off the top of all wages and also levies fees, including $5 a day for rides to their jobs and $15 a month for laundry.
Turning down work can jeopardize chances of early release in a state that last year granted parole to only 8% of eligible prisoners — an all-time low, and among the worst rates nationwide — though that number more than doubled this year after public outcry."
No state has a longer, more profit-driven history of contracting prisoners out to private companies than Alabama.
I highly recommend watching this testimony from Aliya Rahman, the disabled woman who was dragged out of her car and kidnapped by ICE on her way to a doctor appointment in Minneapolis a few weeks ago.
Thank you members, for taking the time to be here today, and thank you staff for making this happen.
My name is Aliya Rahman, and I am a resident of South Minneapolis. I am a Bangladeshi American born in Northern Wisconsin. And I’m a disabled person with autism and a traumatic brain injury.
Not all autistic brains do this, but mine fixates on sounds, numbers, and patterns. And while what the world saw happen to me exactly three weeks ago today on video was a terrible violation it is still nothing compared to the horrific practices I saw inside the Whipple center.
So I am here today with a duty to the people who have not had the privilege of coming home, and I offer this data because these practices must end now.
On January 13th on the way to my 39th appointment at Hennepin County’s traumatic brain injury center, I encountered a traffic jam caused by ICE vehicles and no signs indicating how to get around it. I had not wanted to pull in to a blocked, chaotic intersection, but verbally agreed to do so and rolled down my window after an agent yelled, “Move! I will break your f-ing window!”
His first instruction.
Agents on all sides of my vehicle yelled conflicting threats and instructions that I could not process while watching for pedestrians.
Then, the glass of the passenger side window flew across my face.
I yelled, “I’m disabled!” at the hands grabbing at me and an agent said, “Too late.”
I felt immersed in a pattern, and I thought of Jenoah Donald, an autistic black man killed by the police during a traffic stop in 2021.
I remembered mister Silverio Villegas González, who was killed by ICE in his vehicle last year.
An agent pulled a large combat knife in front of my face, which I thought was for cutting me, and later learned was used to cut off my seat belt. Shooting pain went through my head, neck, and wrists when I hit the ground face first and people leaned on my back.
I felt the pattern, and I thought of mister George Floyd, who was killed four blocks away.
I was carried face down through the street by my cuffed arms and legs while yelling that I had a brain injury and was disabled. I now cannot lift my arms normally.
I was never asked for ID.
Never told I was under arrest.
Never read my rights.
And never charged with a crime.
Approaching the Whipple center, I saw black and brown bodies shackled together, chained together, being marched by yelling agents outdoors. I continued to hear the word “bodies”, because that is how agents referred to us:
“We’re bringing in a body.”
“They’re bringing in bodies 7, 8 at a time, where do I put ‘em?”
“We can’t use that room, there’s already a body in there.”
You have no reason to believe you will make it out alive if you’re already being called a body.
Agents repeatedly had to stop and ask how to do tasks. I received no medical screening, phone call, or access to a lawyer. I was denied a communication navigator when my speech began to slur. Agents laughed as I tried to immobilize my own neck. I asked for my cane and was told no, pulled up by my arms and prodded forward in leg irons by agents laughing and saying, “Walk! You can do it, walk.”
Agents did not know if the facility had a wheelchair.
When I was finally placed in one to be taken to interrogation an agent taunted, “You were driving, right? So your legs do work.”
I pleaded for emergency medical care for over an hour after my vision had become blurry, my heart rate went through the roof, and the pain in my neck and head became unbearable.
It was denied.
When I became unable to speak my cellmate pleaded for me.
The last sounds I remember before I blacked out on the cell floor were my cellmate banging on the door, pleading for a medic, and a voice outside saying, “We don’t wanna step on ICE’s toes.”
When I opened my eyes at Hennepin County’s emergency room, I learned I was brought there to be treated for assault.
The impacts of DHS detention on my physical, mental and financial well-being and safety have been very severe, but I do not deserve more humane treatment than anyone else, US citizen or not. And I am here today with a strong spirit and a duty to the many people who haven’t had the privilege to tell their stories or see their loved ones come home. I am extremely distressed by the pattern that violence from law enforcement has been happening to black and indigenous communities for centuries, and to DHS survivors for over 20 years.
We call ourselves a civilized nation, but we lack rules and accountability around what a person claiming to be law enforcement is permitted to do to another human being.
I am not afraid, and I’m not afraid to keep working on this problem even after ICE is gone. Thank you for your time.
† S▲V‡(o)я M▲CH‡N3 † @systematicsalvation - Tumblr Blog | Tumlook
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