#What algorithm is google using???

[apocamouse]

Google is playing with fire rn. Catch me in a bad mood and Gemini whispers Reddit posts to me???? How and when is Reddit supposed to be helpful. Beautiful meme, but we've all been bestowed with horrible knowledge.

[wahoo-stomp]

I spent five years coming up with unique ways to photograph the same group of plushies to help tell a story.

You don't need AI to help you be creative, you're just being lazy and want brain chemicals without doing any of the work or respecting the people who put time and effort into it.

[jonnestt]

YT has been recommending this video to me for days now. They're trying to turn me trans! Definitely. That's what must be happening.

[imagineflurry]

just finished the first 6 h**bin episodes on hdtoday. what. in the Fuck was that

[quiescentdestiny]

had to watch a compliance training at work for AI, and it kept going on about how, “people sometimes find searching for things difficult, which AI can help with and make lives easier!"

and I just.... sigh.

[feminist-space]

"A funny thing happened on the way to the enshittocene: Google – which astonished the world when it reinvented search, blowing Altavista and Yahoo out of the water with a search tool that seemed magic – suddenly turned into a pile of shit.

Google's search results are terrible. The top of the page is dominated by spam, scams, and ads. A surprising number of those ads are scams. Sometimes, these are high-stakes scams played out by well-resourced adversaries who stand to make a fortune by tricking Google[...]

Google operates one of the world's most consequential security system – The Algorithm (TM) – in total secrecy. We're not allowed to know how Google's ranking system works, what its criteria are, or even when it changes: "If we told you that, the spammers would win."

Well, they kept it a secret, and the spammers won anyway.

...

Some of the biggest, most powerful, most trusted publications in the world have a side-hustle in quietly producing SEO-friendly "10 Best ___________ of 2024" lists: Rolling Stone, Forbes, US News and Report, CNN, New York Magazine, CNN, CNET, Tom's Guide, and more.

Google literally has one job: to detect this kind of thing and crush it. The deal we made with Google was, "You monopolize search and use your monopoly rents to ensure that we never, ever try another search engine. In return, you will somehow distinguish between low-effort, useless nonsense and good information. You promised us that if you got to be the unelected, permanent overlord of all information access, you would 'organize the world's information and make it universally accessible and useful.'"

They broke the deal." -Cory Doctorow

Read the whole article: https://pluralistic.net/2024/02/21/im-feeling-unlucky/#not-up-to-the-task

[reasonsforhope]

"The first satellite in a constellation designed specifically to locate wildfires early and precisely anywhere on the planet has now reached Earth's orbit, and it could forever change how we tackle unplanned infernos.

The FireSat constellation, which will consist of more than 50 satellites when it goes live, is the first of its kind that's purpose-built to detect and track fires. It's an initiative launched by nonprofit Earth Fire Alliance, which includes Google and Silicon Valley-based space services startup Muon Space as partners, among others.

According to Google, current satellite systems rely on low-resolution imagery and cover a particular area only once every 12 hours to spot significantly large wildfires spanning a couple of acres. FireSat, on the other hand, will be able to detect wildfires as small as 270 sq ft (25 sq m) – the size of a classroom – and deliver high-resolution visual updates every 20 minutes.

The FireSat project has only been in the works for less than a year and a half. The satellites are fitted with custom six-band multispectral infrared cameras, designed to capture imagery suitable for machine learning algorithms to accurately identify wildfires – differentiating them from misleading objects like smokestacks.

These algorithms look at an image from a particular location, and compare it with the last 1,000 times it was captured by the satellite's camera to determine if what it's seeing is indeed a wildfire. AI technology in the FireSat system also helps predict how a fire might spread; that can help firefighters make better decisions about how to control the flames safely and effectively.

This could go a long way towards preventing the immense destruction of forest habitats and urban areas, and the displacement of residents caused by wildfires each year. For reference, the deadly wildfires that raged across Los Angeles in January were estimated to have cuased more than $250 billion in damages.

Muon is currently developing three more satellites, which are set to launch next year. The entire constellation should be in orbit by 2030.

The FireSat effort isn't the only project to watch for wildfires from orbit. OroraTech launched its first wildfire-detection satellite – FOREST-1 – in 2022, followed by one more in 2023 and another earlier this year. The company tells us that another eight are due to go up toward the end of March."

-via March 18, 2025

[mostlysignssomeportents]

What kind of bubble is AI?

My latest column for Locus Magazine is "What Kind of Bubble is AI?" All economic bubbles are hugely destructive, but some of them leave behind wreckage that can be salvaged for useful purposes, while others leave nothing behind but ashes:

https://locusmag.com/2023/12/commentary-cory-doctorow-what-kind-of-bubble-is-ai/

Think about some 21st century bubbles. The dotcom bubble was a terrible tragedy, one that drained the coffers of pension funds and other institutional investors and wiped out retail investors who were gulled by Superbowl Ads. But there was a lot left behind after the dotcoms were wiped out: cheap servers, office furniture and space, but far more importantly, a generation of young people who'd been trained as web makers, leaving nontechnical degree programs to learn HTML, perl and python. This created a whole cohort of technologists from non-technical backgrounds, a first in technological history. Many of these people became the vanguard of a more inclusive and humane tech development movement, and they were able to make interesting and useful services and products in an environment where raw materials – compute, bandwidth, space and talent – were available at firesale prices.

Contrast this with the crypto bubble. It, too, destroyed the fortunes of institutional and individual investors through fraud and Superbowl Ads. It, too, lured in nontechnical people to learn esoteric disciplines at investor expense. But apart from a smattering of Rust programmers, the main residue of crypto is bad digital art and worse Austrian economics.

Or think of Worldcom vs Enron. Both bubbles were built on pure fraud, but Enron's fraud left nothing behind but a string of suspicious deaths. By contrast, Worldcom's fraud was a Big Store con that required laying a ton of fiber that is still in the ground to this day, and is being bought and used at pennies on the dollar.

AI is definitely a bubble. As I write in the column, if you fly into SFO and rent a car and drive north to San Francisco or south to Silicon Valley, every single billboard is advertising an "AI" startup, many of which are not even using anything that can be remotely characterized as AI. That's amazing, considering what a meaningless buzzword AI already is.

So which kind of bubble is AI? When it pops, will something useful be left behind, or will it go away altogether? To be sure, there's a legion of technologists who are learning Tensorflow and Pytorch. These nominally open source tools are bound, respectively, to Google and Facebook's AI environments:

https://pluralistic.net/2023/08/18/openwashing/#you-keep-using-that-word-i-do-not-think-it-means-what-you-think-it-means

But if those environments go away, those programming skills become a lot less useful. Live, large-scale Big Tech AI projects are shockingly expensive to run. Some of their costs are fixed – collecting, labeling and processing training data – but the running costs for each query are prodigious. There's a massive primary energy bill for the servers, a nearly as large energy bill for the chillers, and a titanic wage bill for the specialized technical staff involved.

Once investor subsidies dry up, will the real-world, non-hyperbolic applications for AI be enough to cover these running costs? AI applications can be plotted on a 2X2 grid whose axes are "value" (how much customers will pay for them) and "risk tolerance" (how perfect the product needs to be).

Charging teenaged D&D players $10 month for an image generator that creates epic illustrations of their characters fighting monsters is low value and very risk tolerant (teenagers aren't overly worried about six-fingered swordspeople with three pupils in each eye). Charging scammy spamfarms $500/month for a text generator that spits out dull, search-algorithm-pleasing narratives to appear over recipes is likewise low-value and highly risk tolerant (your customer doesn't care if the text is nonsense). Charging visually impaired people $100 month for an app that plays a text-to-speech description of anything they point their cameras at is low-value and moderately risk tolerant ("that's your blue shirt" when it's green is not a big deal, while "the street is safe to cross" when it's not is a much bigger one).

Morganstanley doesn't talk about the trillions the AI industry will be worth some day because of these applications. These are just spinoffs from the main event, a collection of extremely high-value applications. Think of self-driving cars or radiology bots that analyze chest x-rays and characterize masses as cancerous or noncancerous.

These are high value – but only if they are also risk-tolerant. The pitch for self-driving cars is "fire most drivers and replace them with 'humans in the loop' who intervene at critical junctures." That's the risk-tolerant version of self-driving cars, and it's a failure. More than $100b has been incinerated chasing self-driving cars, and cars are nowhere near driving themselves:

https://pluralistic.net/2022/10/09/herbies-revenge/#100-billion-here-100-billion-there-pretty-soon-youre-talking-real-money

Quite the reverse, in fact. Cruise was just forced to quit the field after one of their cars maimed a woman – a pedestrian who had not opted into being part of a high-risk AI experiment – and dragged her body 20 feet through the streets of San Francisco. Afterwards, it emerged that Cruise had replaced the single low-waged driver who would normally be paid to operate a taxi with 1.5 high-waged skilled technicians who remotely oversaw each of its vehicles:

https://www.nytimes.com/2023/11/03/technology/cruise-general-motors-self-driving-cars.html

The self-driving pitch isn't that your car will correct your own human errors (like an alarm that sounds when you activate your turn signal while someone is in your blind-spot). Self-driving isn't about using automation to augment human skill – it's about replacing humans. There's no business case for spending hundreds of billions on better safety systems for cars (there's a human case for it, though!). The only way the price-tag justifies itself is if paid drivers can be fired and replaced with software that costs less than their wages.

What about radiologists? Radiologists certainly make mistakes from time to time, and if there's a computer vision system that makes different mistakes than the sort that humans make, they could be a cheap way of generating second opinions that trigger re-examination by a human radiologist. But no AI investor thinks their return will come from selling hospitals that reduce the number of X-rays each radiologist processes every day, as a second-opinion-generating system would. Rather, the value of AI radiologists comes from firing most of your human radiologists and replacing them with software whose judgments are cursorily double-checked by a human whose "automation blindness" will turn them into an OK-button-mashing automaton:

https://pluralistic.net/2023/08/23/automation-blindness/#humans-in-the-loop

The profit-generating pitch for high-value AI applications lies in creating "reverse centaurs": humans who serve as appendages for automation that operates at a speed and scale that is unrelated to the capacity or needs of the worker:

https://pluralistic.net/2022/04/17/revenge-of-the-chickenized-reverse-centaurs/

But unless these high-value applications are intrinsically risk-tolerant, they are poor candidates for automation. Cruise was able to nonconsensually enlist the population of San Francisco in an experimental murderbot development program thanks to the vast sums of money sloshing around the industry. Some of this money funds the inevitabilist narrative that self-driving cars are coming, it's only a matter of when, not if, and so SF had better get in the autonomous vehicle or get run over by the forces of history.

Once the bubble pops (all bubbles pop), AI applications will have to rise or fall on their actual merits, not their promise. The odds are stacked against the long-term survival of high-value, risk-intolerant AI applications.

The problem for AI is that while there are a lot of risk-tolerant applications, they're almost all low-value; while nearly all the high-value applications are risk-intolerant. Once AI has to be profitable – once investors withdraw their subsidies from money-losing ventures – the risk-tolerant applications need to be sufficient to run those tremendously expensive servers in those brutally expensive data-centers tended by exceptionally expensive technical workers.

If they aren't, then the business case for running those servers goes away, and so do the servers – and so do all those risk-tolerant, low-value applications. It doesn't matter if helping blind people make sense of their surroundings is socially beneficial. It doesn't matter if teenaged gamers love their epic character art. It doesn't even matter how horny scammers are for generating AI nonsense SEO websites:

https://twitter.com/jakezward/status/1728032634037567509

These applications are all riding on the coattails of the big AI models that are being built and operated at a loss in order to be profitable. If they remain unprofitable long enough, the private sector will no longer pay to operate them.

Now, there are smaller models, models that stand alone and run on commodity hardware. These would persist even after the AI bubble bursts, because most of their costs are setup costs that have already been borne by the well-funded companies who created them. These models are limited, of course, though the communities that have formed around them have pushed those limits in surprising ways, far beyond their original manufacturers' beliefs about their capacity. These communities will continue to push those limits for as long as they find the models useful.

These standalone, "toy" models are derived from the big models, though. When the AI bubble bursts and the private sector no longer subsidizes mass-scale model creation, it will cease to spin out more sophisticated models that run on commodity hardware (it's possible that Federated learning and other techniques for spreading out the work of making large-scale models will fill the gap).

So what kind of bubble is the AI bubble? What will we salvage from its wreckage? Perhaps the communities who've invested in becoming experts in Pytorch and Tensorflow will wrestle them away from their corporate masters and make them generally useful. Certainly, a lot of people will have gained skills in applying statistical techniques.

But there will also be a lot of unsalvageable wreckage. As big AI models get integrated into the processes of the productive economy, AI becomes a source of systemic risk. The only thing worse than having an automated process that is rendered dangerous or erratic based on AI integration is to have that process fail entirely because the AI suddenly disappeared, a collapse that is too precipitous for former AI customers to engineer a soft landing for their systems.

This is a blind spot in our policymakers debates about AI. The smart policymakers are asking questions about fairness, algorithmic bias, and fraud. The foolish policymakers are ensnared in fantasies about "AI safety," AKA "Will the chatbot become a superintelligence that turns the whole human race into paperclips?"

https://pluralistic.net/2023/11/27/10-types-of-people/#taking-up-a-lot-of-space

But no one is asking, "What will we do if" – when – "the AI bubble pops and most of this stuff disappears overnight?"

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/12/19/bubblenomics/#pop

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

--

tom_bullock (modified) https://www.flickr.com/photos/tombullock/25173469495/

CC BY 2.0 https://creativecommons.org/licenses/by/2.0/

[ellipsus-writes]

Each week (or so), we'll highlight the relevant (and sometimes rage-inducing) news adjacent to writing and freedom of expression. This week:

Inkitt’s AI-powered fiction factory

Inkitt started in the mid-2010s as a cozy platform where anyone could share their writing. Fast forward twenty twenty-fuckkkkk, and like most startups, it’s pivoted hard into AI-fueled content production with the soul of an algorithm.

Pictured: Inkitt preparing human-generated work for an AI-powered flume ride to The Unknown.

Here’s how it works: Inkitt monitors reader engagement with tracking software, then picks popular stories to publish on its premium app, Galatea. From there, stories can get spun into sequels, spinoffs, or adapted for GalateaTV… often with minimal author involvement. Authors get an undisclosed cut of revenue, but for most, it’s a fraction of what they’d earn with a traditional publisher (let alone self-publishing).

“'They prey on new writers who have no idea what they’re doing,' said the writer of one popular Galatea series."

Many, many authors have side-eyed or outright decried the platform as inherently predatory for years, due to nebulous payout promises. And much of the concern centers on contracts that don’t require authors’ consent for editorial changes or AI-generated “additions” to the original text.

Now, Inkitt has gone full DiSrUpTiOn, leaning heavily on generative AI to ghostwrite, edit, generate audiobook narration, and design covers, under the banner of “democratizing storytelling.” (AI? In my democratized storytelling platform? It’s more likely than you think.)

Pictured: Inkitt’s CEO looking at the most-read stories.

But Inkitt’s CEO doesn’t seem too concerned about what authors think: “His business model doesn’t need them.”

The company recently raised $37 million, with backers including former CEOs of Sony, Penguin, and HarperCollins, proving once again that publishing loves a disruptor… as long as it disrupts creatives, not capital. And more AI companies are mushrooming up to chase the same vision: “a vision of human-created art becoming the raw material for AI-powered, corporate-owned content-production machines—a scenario in which humans would play an ever-shrinking role.”

(Not to say we predicted this, but…)

Welcome to the creator-industrial complex.

Publishers to AI: Stop stealing our stuff (please?)

Major publishers—including The New York Times, The Washington Post, The Guardian, and Vox Media—have launched a "Support Responsible AI" campaign, urging the U.S. government to regulate AI's use of copyrighted content.

Like last month's campaigns by the Authors Guild and the UK's Society of Authors, there's a website where where you can (and should!) contact your representatives to say, “Hey, maybe stop letting billion-dollar tech giants strip-mine journalism.”

The campaign’s ads carry slogans like “Stop AI Theft” and “AI Steals From You Too” and call for legislation that would force AI companies to pay for the content they train on and clearly label AI-generated content with attribution. This follows lobbying by OpenAI and Google to make it legal to scrape and train on copyrighted material without consent.

The publishers assert they are not explicitly anti-AI, but advocate for a “fair” system that respects intellectual property and supports journalism.

But… awkward, The Washington Post—now owned by Jeff Bezos—has reportedly already struck a deal with OpenAI to license and summarize its content. So, mixed signals.

Still, as the campaign reminds us: “Stealing is un-American.”

(Unless it’s profitable.)

#WarForever

We at Ellipsus love a good meme-turned-megaproject. Back in January, the-app-formerly-known-as-Twitter user @lolt64 tweeted a cryptic line about "the frozen wastes of europa,” the earliest reference to the never-ending war on Jupiter’s icy moon.

A slew of bleak dispatches from weary, doomed soldiers entrenched on Europa’s ice fields snowballed (iceberged?) into a sprawling saga, yes-and-ing with fan art, vignettes, and memes under the hashtag #WarForever.

It’s not quite X’s answer to Goncharov: It turns out WarForever is some flavor of viral marketing for a tabletop RPG zine. But the internet ran with it anyway, with NASA playing the Scorcese of the stars.

In a digital hellworld increasingly dominated by AI slopification, data harvesting, and “content at scale,” projects like WarForever are a blessed reminder that creativity—actual, human creativity—perseveres.

Even on a frozen moon. Even here.

Let us know if you find something other writers should know about, (or join our Discord and share it there!)

- The Ellipsus Team xo

[bth3cowboi]

love conjeture, lh44 x reader

masterlist

pairing: lewis hamilton x mathematician!reader

summary: sometimes algorithms win championships, other times they help find love. (social media au)

mercedesamgf1

liked by yninmath, georgerussell63 and 879.301 others

mercedesamgf1 This year we want to give a special thank-you to Dr. Yn Ln! With the creation of her new algorithm focused on data analysis and her extensive collaboration this season our view in analytics evolved to unimaginable levels. We are forever grateful for her contributions and what they mean for the future of Formula 1. Thanks again Dr. Ln, and good luck with the thesis! 😎💻

tagged yninmath;

see all comments

yninmath thank you for the opportunity🫡💙 it was an honor to work alongside this great team

mercedesamgf1 👏💙

user1 omg work girlll!!

user2 just googled her and im going crazy like how do you have 3 phds at 27😭?

user3 graduated super early too shes kind of a genius lol

lewishamilton thank you miss yn💙

yninmath your welcome sir champion🥹

user4 ok this is cuteee

user5 you should be thanking him bffr

georgerussell63 Outstanding!🙌 Make sure to come back Dr. Yn

yninmath oh but the travelling😮‍💨

lewishamilton nah you’ll make it back

yninmath if you say so haha

yninmath

liked by lewishamilton and others

yninmath currently picking up trash couches, writing thesis and remembering the friends ive made along the way 🤓💘

on a serious note, if anyone is interested in reading about topology feel free to read my new paper abt it (link in bio #influencer)

tagged bestfriend, roscoelovescoco;

see all comments

roscoelovescoco working’s hard🐾😵‍💫

yninmath or hardly working🤔

bestfriend surprised the couch didnt bring rats or something

yninmath no rats or fleas!!! its been a great couch #trashcouch #luckygirls

bestfriend please never use # again

user1 great paper dr yn😍 is there any way I could get your paper on the hodge conjeture for academical porpouses? magazines are too expensive, help a girl out🙏

yninmath dm me girl that should be free so make sure your class gets it too

user2 dr yn youre saving the nyu maths class of 25’🫡

lewishamilton no rest on break miss yn?

yninmath you know me already haha💞

user3 suspicious…

user4 what? they cant be just friends?

user5 I thought she worked for merecedes, what is this?

user6 she was only there to develop part of her thesis tho still won them another championship

liked by lewishamilton

f1paddockgossip

liked by pierregasly and 903.443 others

f1paddockgossip BREAKING! Lewis Hamilton was caught while vacationing in France with mathematician and Mercedes’ collaborator Dr. Yn Ln. The pair are rumored to be in a months-long relationship already, starting in the middle of last season.

see all comments

user1 NOOOOO

user2 isnt she like way younger than him? weird

user3 shes literally a grown woman lol she can be with whoever she pleases

user4 no cause they actually look really cute🥹 so happy for them

user5 right! she seems super nice

user6 i just know that man is confused everytime she talks numbers lmao the curse of dating a stem girlie

lewishamilton

liked by yninmath, f1 and 3.478.139 others

lewishamilton congrats on the finished thesis miss yn😉💙 love you

comments have been limited

yninmath love u and ty for the championship😘 would have failed otherwise

lewishamilton 😂😂

lewishamilton anything for my girl

yninmath 🥹

yninmath

liked by mercedesamgf1, lewishamilton and others

yninmath you best believe he sat on the #trashcouch #dearlordwhenigettoheaven

comments have been limited

bestfriend did it have fleas lewishamilton?

lewishamilton no but I was worried

yninmath booo tomatoes

bestfriend just buy a new one please

yninmath i believe in sustentability🫡🍃

lewishamilton there has to be a limit

lewishamilton ❤️❤️

yninmath love you sm

liked by lewishamilton

——

a/n: ty for reading and i hope you enjoyed🩷 maybe ill be writing more for different drivers soon, so if anyone is interesed keep that in mind!

[ms-demeanor]

The thing about LLMs is that they're like cars that have a touchscreen on the console; it's more expensive and worse than what came before in almost all circumstances.

And like car touchscreens it's something that I suspect that the vast majority of consumers dislike and would prefer not to use.

But that doesn't mean that touchscreens are bad it just means they don't belong in cars.

It *IS* a massive problem that "AI" is being shoved at us by a bunch of people who invested WAY too much into AI and are trying to make a return on their investment. It is *ALSO* a problem that "AI" is a terrible name for the pattern interpretation tools that tech companies have dumped billions of dollars into so people are being told that a lot of things that are just pretty basic algorithmic tools are "AI," which makes the whole thing feel overhyped, oversold, and useless (which it is for a tremendous number of people!)

But I get really frustrated with claims that AI slop is what ruined google search (google search has been ruined for a long time; when their goal became "people need to do more searches so we can serve them more ads" instead of "we need to return the best results for our users" it was destroyed and that had nothing to do with AI and everything to do with a profit motive) or that AI is why we're being inundated by spammers (spammers have been a problem for a VERY long time) or that it's impossible to find good info these days because the internet is full of garbage AI articles to generate clicks (that has been the BANE OF MY EXISTENCE in terms of research for MUCH LONGER than GPT4 has been around it is called search engine optimization and if you haven't had your results full of poorly written non-information listicles for the last seven years I suspect you haven't been doing quite the same volume of searching as I have been).

These are known problems that are being exacerbated by this particular kind of tool, but the problem with phishing isn't that the emails are extremely tailored to particular users, it's that the world is chock full of scammers who are incentivized to treat people like shit for money.

[creatingblackcharacters]

Do you have any sources on Black masculinity, femeninity and androgyny? Like what hairstyles and clothes are viewed as what? Trying to google it for the sake of intentional character design did not bear useful results.

That's because the internet believes the queer experience to be White, and centers it in a search algorithm as such!

You're gonna have to read things like this to understand the culture to better understand what to look for; you're going to have to look into real queer Black people's experiences and pictures. Because I don't think looking it up like a list for dressing dolls is gonna work, both for considering the humanity of the people you're looking into and for style ideas.

A lot of Black queer fashion and expression I find are from following people who post their looks. @blackqueernotables posts Black queer creatives all the time; you can get names of people and see how they dress and what they do. Get on IG and start finding blogs of Black queer fashionistas! The WNBA- I've been finding and saving pictures. A lot of those Black women range from Baddie Femme to Gorgeously Masc.

Knowing identity terms will help you- looking up "Black stud outfits" got me lists on Pinterest (got studsinsuits as an IG page too!) "Black femme gay men" also got me Pinterest lists and articles. Get specific!

[thegalleonsnest]

OK since I haven't seen too many people talk about this since twitter news usually strikes pretty fast over here whenever e'usk does anything ever, let me give ya'll the run down on two things that will go live on NOVEMBER 15TH and why people are mass migrating to Blue Sky once more; and provide resources to help protect your art and make the transition to Blue Sky easier if you so choose:

The Block function no longer blocks people as intended. It now basically acts as a glorified Mute button. Even when you block someone, they can still see your posts, but they can't engage in them. If your account is a Public one and not a Private one, people you blocked will see your posts.

They say because people can easily "share and hide harmful or private information about those they've blocked," they changed it this way for "greater transparency." When in reality, this is an extremely dangerous change, as the whole point of blocking is to cease interaction with people entirely for a plethora of reasons, i.e. stalking, harassment, spam, endangerment, or just plainly annoying and not wanting to see said tweets/accounts. or you know, for 18+ accounts who do not want minors interacting with them or their material at all (There is speculation saying these changes are specifically for Elon himself so he can do his own kind of stalking, and honestly, with the private likes change, it lowkey checks out in my opinion)

Also, this straight up goes against and may violate Apple and Google's app store policies and also is straight up illegal in Canada and probably other countries as well.

If this ACTUALLY goes through, twitter will only be available in select countries, probably exclusively in the US, which would collapse the site with the lost of users and stock, and probably be the last push it needs to kill the site. And if not, will be a very sad and exclusive platform made for specific kinds of people who line up with musk's line of thinking.

2. New policies regarding Grok AI and basically removing the option to opt out of Grok's information gathering to improve their software.

And anything you upload/post on the site is considered "fair game" with "royalty-free licenses" and they can do whatever they please with it. Primarily using any and all posts on twitter to train their Grok AI. A few months ago, there was a setting you can opt out of so they couldn't take anything you post to "improve" Grok, but I guess because so many people were opting out, they decided to make it mandatory as part of the policy change (This is mainly speculation from what I hear).

So this is considered the final straw for a LOT of people, especially artists who have been gripping on to twitter for as long as they can, but the AI nonsense is too much for people now, including myself. Lot's of people are moving to Blue Sky for good reason, and from personal experience, it is literally 10x better than twitter ever was, even before elon took over. There is no algorithm on there, and you can save "feeds" to your timeline to have a catered timelines to hop between if your looking for something specific like furry art or game dev stuff. It's taken them a bit to get off the ground and add much needed features, but it's genuinely so much better now

RESOURCES

Project Glaze & Cara

If you're an artist who's still on twitter or trying to ride it out for as long as you can for whatever reason you have, do yourself a favor and Glaze and/or Nightshade your work. Project Glaze is a free program designed to protect your art work from getting scrapped by AI machines. Glazing basically makes it harder to adapt and copy artwork that AI programs try to scan, while Nightshade basically "poisons" works to make AI libraries much more unstable and generate images completely off the mark. (These are layman's terms I'm using here, but follow the link to get more information)

The only problem with these programs is that they can be resource intensive for computers, and not every pc can run glaze. It's basically like rendering a frame/animation, you gotta let your pc sit there to get it glazed/nightshade, and depending on the intensity and power of your pc, this may take minutes to hours depending on how much you wanna protect your work.

HOWEVER, there are two alternatives, WebGlaze and Cara

WebGlaze is an in browser version of the program, so your pc doesn't have to do the heavy lifting. You do need to have an account with Glaze and be invited to use the program (I have not done so personally so I don't know much about the process.)

Cara is an artist focused site that doubles as both a portfolio site and a general social media platform. They've partnered with Glaze and have their own browser glazing called "Cara Glaze," and highly encourage users to post their work Glazed and are extremely anti-ai. You do get limited uses per day to glaze your work, so if you plan on doing a huge backlog uploading of your art, it may take awhile if your using just Cara Glaze.

Some twitter users have suggested glazing your art, cropping it, and overlaying it with a frame telling people to follow them elsewhere like on Bluesky. Here's a template someone provided if you wanna use this one or make your own.

Blue Sky Resources and Tips

So if your a twitter user and your about to realize the hellish task of refollowing a massive chunk of people you follow, have no fear, there's an extension called Sky Follower Bridge (Firefox & Chrome links). This is a very basic extension that makes it really easy to find people on Bluesky

It sorts them out by trying to find matching usernames, usernames in descriptions, or by screen name. It's not 100% perfect, there's a couple people I already follow on Blue Sky but the extension could not find them on twitter correctly, but I still found a huge chunk of people. Also if your worried that this extension is "iffy," they do have a github open with the source publicly available and the Blue Sky Team themselves have promoted the extension in their recent posts while welcoming new users to the platform.

FEEDS and LABELS

OK SO THE COOLEST PART ABOUT BLUESKY IS THE FEEDS SYSTEM. Basically if you've made a twitter list before, it's like that, but way more customizable and caters to specific types of posts/topics. Consolidating them into a timeline/feed that exclusively filled about those particular topics, or just people in general. There's thousands to pick and choose from!

Here's a couple of mine that I have saved and ready (down below). Some feeds I have saved so I can jump to seeing what my friends and mutuals are up to, and see their posts specifically so it doesn't get lost in reposts or other accounts, and also specialized feeds for browsing artists within the furry community.

The Furry Community feeds I have here were created by people who've built an algorithm to place any #furry or #furryart or other special tags like #Furrystreamer or #furrydev. They even have one for commissions, and yes you can say commissions on a post and not have it destroyed or shadow banned. You are safe.

If you want, and I highly recommend it to get visibility and check out a neat community, follow furryli.st to get added to their list and feeds. Once your on the list, even without a hashtag, you'll still pop up in their specialized feeds as just a member of the community there. There are plenty of other feeds out there besides this one, but I feel like a lot of people could use one like this. They even got ones for OC specific too I remember seeing somewhere.

And in terms of labels, they can be either ways to help label yourself with specific things or have user created accessibility settings to help better control your experience on Blue Sky.

And my personal favorite: Ai Imagery Labeler. Removes any AI stuff or hides it to the best of it's abilities, and it does a pretty good job, I have not seen anything AI related since subscribing to it.

Finally, HASHTAGS WORK & No need to censor yourself!

This is NOT like twitter or any other big named social media site AT ALL, so you don't have to work around words to get your stuff out there and be seen. There are literally feeds built around having commissions getting and art seen! Some people worry about bots and that has been a recent issue since a lot of people are migrating to Blue Sky, but it comes with any social media territory.

ALSO COOL PART,

you can search a hashtag on someone's profile and search exclusively on that profile as well! You can even put the hashtag in bio for easy access if you have a specialize tag like here on tumblr. OR EVEN BUILD YOUR OWN ART FEED FOR YOUR STUFF SPECIFICALLY!

So yeah, there's your quick run down about twitter's current burning building, how to protect your art, and what to do when you move to Blue Sky! Have fun!

[incognitopolls]

We ask your questions so you don’t have to! Submit your questions to have them posted anonymously as polls.

[nudityandnerdery]

I miss when Google was a useful search engine and didn't use stupid AI shot, because... Look. Here's what I searched:

Here's what Google said:

But here's what I actually wanted, a picture of this line:

I feel like, five years ago, it would have just gotten me the image, but now their algorithm is so shitty, even if I go straight to images.

It used to be that DuckDuckGo's image search was so frustrating to me that I'd say "I'll go back to it when it's half as good as Google Image Search." I naively believed that would be because DuckDuckGo would improve. But I guess there was an easier way to meet that metric?

[the-m-is-for-minor]

Tumblr (for newbies):

Reblogging ≠ reposting. You aren't stealing content by reblogging it, it's basically a 'group share' button. It also helps give artists/posts attention and you can reblog to interact with people. Reblog things you like.

Reblog bait. You can reblog it, but if a mutual hates reblog bait, you may tag it with 'reblog bait'. Or, find a tag with your mutual to put on posts they don't like, and block the tag under the 'content you see' tab in settings.

If someone reblogs your post, and you like their reblog, you just liked your own post.

(Sideblog section)

See my name? This is a gimmick. If a Tumblr says 'officially-(company/country/state)' then it's probably a gimmick! Check their content first because there are a few actual brand blogs, like Grammarly!

You can only make 250 posts (per email) on an account per day. This is called 'post limit' or 'PL'. I am currently on account 2, because I post too much. You may or may not hit post limit in your lifetime.

You can create as many sideblogs as you want, but you cannot like, follow, or send asks as a sideblog, and if you do so, it'll show up as from your main.

(Gimmicks)

Nobody can see your main from your sideblog, so you can have as many followers on your gimmick and none of them on your main

You will see gimmicks. A lot. It's fun.

You can interact with a gimmick as a non-gimmick

As a tumblr user, you have anon powers. You can turn any/most gimmicks into a pretty princess by typing something like '*turns you into a pretty princess*' into their ask box.

Nobody will be mad at you for making a gimmick. At all. There are like, 4 Jesus gimmicks. And it's great.

(General)

Tag a mutuals post with '10k to me', 'future 10k', '10k', or 'this will have 10k' for some fun chaos :3

Submit posts to PM Seymour's discord for MORE fun chaos

(General controls and understanding of Tumblr)

If you are in a youtube video online, you have broken containment

If you are getting a bunch of notifications from a post, you can hold down a notification from it or click the three dots on the post and click 'mute' to stop getting notifications (other than mentions)

You can also filter your notifications by clicking on the top left of your notifications tab and tapping 'custom'

The 'for you' tab of Tumblr is what the algorithm thinks you'll like based on your interests and stuff

The 'following' tab is blogs and tags you follow

On Tumblr, you can add not only extra notes in the tags but also regular tags. Spaces are allowed

If you get an ask from a Palestinian blogger, check yourself (you may find places where it's vetted/verified in their reblogs. You can also tell by them having no photos/story at all [no name, no information, just a donate link], and scams commonly use photos from Google images. Be suspicious if there's anything other than GoFundMe or something similar. PayPal is banned there.) or send a screenshot to me/somebody who offered to help. Then, you can answer the ask so people who can donate can see it, or donate yourself. DO. NOT. PRESSURE. YOURSELF.

Tumblr has a unique punctuation, in a way. which you will figure out on your own. An example is. periods to show a slight. pause

It reminds me of poetry

You can post whatever you want and you will find your people

Block people who make you uncomfortable and report bots for spam.

Welcome to Tumblr

Do what you want forever