I know my likes and asks comes from here, but if you want to interact with me or see my posts/pics (it's the blog, there's little art there. Art posting has been on a hiatus since October 2019)
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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 think I’m literally never gonna be sick of this masterpiece. I think watching it on a loop for eight hours could fix me. Dancing’s what clears my soul. Dancing’s what makes me whole.
I just love that this very video is an accumulation of thousands of years worth of art made by people who have never met each other. The concept of this video was so completely unfathomable to every single artist who made the sculptures and yet they’ve all put something toward the creation of it.
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You actually cannot skip to being good at a creative endeavour that you haven't put much practice into. You cannot trick your way out of the 'knows that your work is not what you want it to be but don't know how to improve it' stage by planning or reading or talking about it really really hard. At some point you just have to craft through it until your brain finds it's own unique way back to the 'everything I make slaps' stage and be prepared to start the cycle all over again. You just have to make that project you're excited about slightly less good than you want it to be. (Says this standing in a pool of blood and covered in blood and also coughing up a little blood)
That video of Alex Hirsch reading S&P notes for Gravity Falls conveys a few things to me:
1) the U.S. entertainment industry (especially animation) is run by older conservative types who make up offensive terms and get really mad about them.
2) the people who run Disney would be the first to fall in line with a fascist regime.
3) most of the media we consume is tailor-made and watered-down to appeal to the tastes of older, deeply religious conservative audiences.
4) conservatism, not the left, is and always has been the biggest voice of censorship in American culture.
J. Michael Straczynski, creator of Babylon 5, was before that a producer and writer for a number of cartoons in the late ‘80s/early ‘90s (The Real Ghostbusters and the original She-Ra, most notably). After a few years of dealing with the censors and their obsession with finding Satanism (or at least looking for Satanism to further political agendas) he wrote an article about the whole corrupt and bullshit system.
And published it in Penthouse, to force those same censors to buy a skin mag. The editor there asked, why Penthouse?
That one is from his autobiography, Becoming Superman. See also:
(As he goes on to say, he’s never worked in animation again–he’s effectively been blacklisted by the cartoon industry.)
Every time something like this comes up, I remember two stories about making media. The first is about movies, and comes from Quentin “Feet Man” Tarantino.
When he was making Pulp Fiction, he was worried that the MPAA would object to the high level of violence in the film, so he shot a bunch of extra-gory stuff that he didn’t actually want in the film, and added it in before submitting it to the MPAA. Predictibly, they asked him to cut most of it (without even commenting on some of the things that had him worried, like the bits of Marvin’s skull that lodge in Samuel L. Jackson’s hairpiece). The resultant cuts were actually more permissive than he’d expected, so he cut a little more and submitted it, and it got passed with an R.
The second story is about that artist on Morrowind whose name escapes me (I’m not a big ES fan tbh) who figured out that if he made two creature designs, one weird and what he wanted, and one even weirder, he could get Todd Howard to agree to just about anything by showing him the whopper first, then going back and “working” for another few hours on a second, “toned-down” version, and it worked every time.
The reason I bring these up is that the thing that drives censors isn’t some extant physical rubrick of what is and isn’t acceptable, it’s the idea that they can have absolute power over someone else’s creative work. It’s about the social dominance of the interaction.
There is nothing so innocent, so clean, that a censor will not find some fault with it. Because they must find something wrong with it to justify their existence, and because it makes them feel powerful.
If fiction is only a commodity, then a writer is a mere content producer, or as McGurl puts it, a "servant" and a "service provider" while the reader is a "consumer." If a writer is a service working - a corporate employee/contractor - it naturally follows that a work of fiction is a service and is judged on whether it fulfills that service accordingly. [...]
There's a subtle but key difference between being socially permitted to have your own opinion about whether something was good - whether it met your version of the implicit contract - and the decision that you are "owed" customer satisfaction in a literal, actionable sense. If you read a book or saw a movie and you didn't like it, you're allowed to say so: but it's not a mattress, and you don't get your money back. But on the other hand, if a novel or film or TV show isn't art, only more stuff you bought, then the writer does owe you, as does the corporation who sold you that product, from whom you can demand everything you want.
from Dangerous Fictions: The Fear of Fantasy and the Invention of Reality by Lyta Gold
we gotta get back to torrent distribution, i just watched someone eat eight grand in bandwidth charges because they ran a direct-download piracy site with local file hosting through cloudflare. torrents were invented literally for this exact reason
i have a file or folder on my pc that i want to share with other people. let's call it gayshit.mp3
unfortunately gayshit.mp3 is 750mb and im not paying for discord nitro so i need another way to send it
i put it into qbittorrent and it makes a torrent file. this is essentially a very small file that points to gayshit.mp3 so other computers can find it. kinda like a treasure map
i send this tiny file to my friend, who loads it into qbittorrent. their computer takes a moment to find mine over the vast expanse of cyberspace and then (as long as my pc is running and the file is still where it should be), it gets copied from my hard drive to theirs
this is the cool part: if somebody else loads that tiny file, they can download it from both of us. if i'm offline but my friend is on, the third person can still get it. this also means that if two people have separate halves of the file, they can download the other half from each other. as long as some combination of people have the pieces between them, they can all have the whole thing.
crucially this does not require a server!!! you can just upload the file to a few people and as long as they keep it, it's still accessible. as long as somebody, somewhere is still connected, it's available forever. the only way it goes away is if everybody disconnects from it.
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Rumination is probably the most common type of OCD compulsion, but I rarely see anyone talking about it. I've talked to multiple people diagnosed with OCD who didn't even recognize it as a compulsion.
Basically, if you have OCD you have terrible intrusive thoughts. They can be about anything, but common themes are fear of being a bad person, fear of hurting someone, fear of contamination. etc.
Rumination is when you get stuck in a spiral. Rumination is when you spend hours catastrophizing, overthinking, analyzing, telling yourself it's going to be okay.
I'll say it again:
Rumination is a compulsion.
Rumination is a compulsion, and that means you have to stop doing it.
I did ERP (exposure response prevention) for my OCD with a therapist! For 9 months! And it did help, but the idea didn't really click until I found this website a couple years later.
And Oh My God. It made things make so much more sense, and I was able to pull myself out of an episode even though I wasn't in therapy or on meds at the time.
Genuinely if you have OCD, or even if you suspect you have OCD, I'm begging you to read some of these articles.
Like this was genuinely life changing for me.
Here are some of the ones that were most helpful to me:
this is your gentle reminder to stop fighting against your adhd and instead structure your life around it
buy a pack of chapsticks and put one in the pocket of all of your coats and jackets because you always forget to bring one and chapped lips is sensory hell
leave important things where you can see them. if they go in a box or a drawer you will forget they exist
put any appointments or deadlines in your phone calendar As Soon As you get them. set a reminder for a week before, a day before, an hour before, as many as you need as often as you need them.
when that little voice in your head says "i dont need to write that down, ill remember it" that is the devil talking!!! write it down anyway!!
plan for down time. have a few hours at the end of every day to just do fun stuff like engage in your hyperfixations. even if you didnt get all of your work done that day, have the rest anyway. you probably spent the whole day beating yourself up for not doing what you Should be doing, so you still need the break.
if you never eat vegetables because its too much effort to chop and cook them, get the frozen or canned shit. it doesnt go off for ages and you just have to microwave it. theres no point buying fresh vegetables if they just keep going off and being left to rot in the bottom of your fridge
if you struggle to decide what to have for dinner every day, take the decision out of it. choose a set of meals and eat those on rotation until you get sick of them, then choose some new ones and do it again.
its not stupid if it works! our brains literally have a chemical deficiency. you are allowed to accommodate yourself. go forth and stop making your life more difficult than it has to be because "this shouldn't be this hard". it is hard, so make it easier.
ID: A wheelchair symbol edited to have the anarchy A in the middle of the wheel. Text reads: Protesting as a Wheelchair User: Everything You've Always Wanted to Know about Accessibility and Direct Action.
new zine just dropped! this link has the version for print and the version to read online. should be screenreader accessible--let me know if the formatting is fucked up and you can't access the alt text.
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So Microsoft just released Microsoft 3d movie maker opensource… how cool!!! I’m so excited to see all the weird shit folks make with it… I think this’ll be the next source filmmaker.
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.
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