Tootfinder

So one of the authors is Nicholas Carlini, who works for Anthropic. This is basically an ad for the three letter agencies to use Claude. It massively over-promises compared to what the actual paper says.
But, it is important. First, this is really about silencing people. The threat of identification is designed to make people afraid to talk online. There's a massive asymmetry between the fascists and the people. The fascists are weird racists and pedophiles who are obsessed with control. No one likes them. No one likes their ideas, because their ideas are creepy and bad.
When they talk about their ideas, that people should be murdered or kidnaped based on their skin color, that there should be a national dress code, that people's sex lives should be monitored, that children should be treated like objects that are owned by the parent (specifically, one parent), that people with different skin color or uteri should be considered as livestock, people fucking hate it because it's awful. When we talk about our ideas, that everyone should be able to eat and take care of themselves, that people who can't take care of themselves should be taken care of, that we should live in a society that values life, that we should live in harmony with nature, people like those ideas. When fascists out us for talking about those ideas, people support us. When we out people who are working as fascist goons those people have to face social consequences.
Everyone hates these people. The US government is currently less popular than it has ever been. The only way they can keep power is by making everyone think that they aren't extraordinarily unpopular. The only way to do that, the way authoritarian have always done it, is to make everyone afraid to talk.
But, yes, what this paper is saying is actually kind of bad. It looks like people who don't take any precautions at all in separating identities can be identified about 30% of the time (based on the results). It's unclear how this will actually work in the real world. Larger corpses will probably have more data, making connecting things easier.
This isn't as good as a human trying to dox someone. It's not going to work as well. It may only work in a small number of cases. There will be false positives (just like there are with people doing the work). It's probably not cheaper than hiring people. But it does mean that you can just dump money into a machine that has no ethical framework and get data out. That's the point. It's hard to find humans who will do evil shit like help dictatorships target human rights activists, but if a machine can do it for twice the price then it's a better deal for the dictatorship.
For most people, you just shouldn't care. This isn't for you. As long as you keep doing what you're doing, and you can keep everyone else doing what they're doing, then there aren't enough resources to actually target you. Even if they know who you are, there are just too many people who hate them and too few goons.
For people who might actually be targeted, there are a lot of things. First, keep in mind what you're putting into anonymous accounts. Any feature that's connected to your real life is a feature that can be extracted to identify you. This has always been true, it just may be easier to find now. Your identities should be totally siloed. It's also harder to identify you if you're writing anonymously as a collective. Collectives are better anyway because they can help check your thinking. When you write as a collective, you can help clean up each other's personal details and language. A collective develops its own voice, which is distinct from individual contributors. If you do this, and you also present your work as being from one "person," then it becomes even harder for anyone (systems or individuals) to really figure it out.
I'm not going to do a full deep dive on this because I just don't have time, but your existing threat model should *already cover these threats* if you need to make sure your writing remains anonymous.
This paper doesn't present any novel methodologies. It just extracts a bunch of features, which a human would extract as notes, and tries to correlate those between identities, which is how human researchers work. Linguistic forensics were mentioned (not by name) in the paper, but the actual methodology doesn't actually seem to use them.
So a thing with less ethics can do a worse job for more money (when adjusted for the real, not investor deflated, price of tokens). It's worth knowing. It's not the end of the world, but it is a good reminder to check your threat model and make sure it's up to date.

Source: SpaceX is aiming to file its IPO prospectus with regulators later this week or next week, and could try to raise more than $75B (The Information)
https://www.theinformation.com/articles/spacex-aims-file-ipo-soon-week

SpaceX Aims to File for IPO as Soon as This Week
SpaceX is aiming to file its initial public offering prospectus with regulators later this week ornext week, according to a person with direct knowledge of the plans. The confidential filing will formalize the IPO plans for Elon Musk’s rocket and telecom company as it targets a June public ...

Noch ein paar der zuletzt hier besonders häufig geteilten #News:
Gelöscht und doch nicht weg: Signal speichert Nachrichten länger als erwartet

Gelöscht und doch nicht weg: Signal speichert Nachrichten länger als erwartet
Je nachdem, wie intensiv man den Messenger nutzt, kann es Tage dauern, bis eine gelöschte Nachricht weg ist. Signal ignorierte den Fehler ein halbes Jahr.

Job loss? That one really seems weird. The numbers are not adding up to the stories we hear yet. But the numbers are not dire yet. Of course, our actual tracking of those numbers is increasingly suspect because of the US fascist project.
The big tech companies are absolutely pulling shenanigans, and using "AI" as an excuse for layoffs in a great number of cases, and in many cases, openly admitting they don't have any good ideas, so they'll lay people off instead of allocate them better. We are absolutely seeing the shifts in what are viable careers in tech though. And that was underway before AI: the UX bootcamps, for example, destabilized those job function, devaluing the workers, and the resulting shifts absolutely wrecked those job titles and the pay for them, leaving a bunch of people in the lurch.
But behind that too was our broken education system in the US: it was a shortcut around the massive debt that going to college can produce for people. But it didn't last, because it was vocational training being used purposefully as a wedge to change the labor market. Similar, sometimes intentional effects have happened in other aspects.
A huge amount of the "AI" problem is actually labor problems coming home to roost. We can blame Reagan for a lot of this.

This is actually not too far off from a pamphlet I wrote at my community college as an experiment in "turning assignments into creative writing." I was taking a religion class, so I decided to create one. I was working in a group and by the end we had developed 3 sects of the religion and we each talked about our sect and how it related and differed from the original text.
I also handed out pamphlets at a mall, half as part of a psychology class (because why not find a way to reuse my material) and part as an experiment to see how long it would take to get kicked out of said mall. (The answer was bout 15 minutes, if I remember correctly.)
Somewhere between there and here, the books "The Evolution of God" and "Non-Zero" came out (written, interestingly but probably unrelated, by someone who lived in the town with that mall where I handed out those flyers). These books both have heavily overlapping ideas with the original pamphlet (lost, which may not be the worst thing since it was full of spelling and grammar errors).
But both of those books had a decidedly theistic flavor, though, I think, they were more generally liberal. The whole #CultPunk thing feels like a missing piece to something that's been bouncing around in my head for... uh... some years. But not so much at the front of my mind.
It was actually in the hospital, on pain killers and ketamine, that this all came rushing back. Perhaps that's the right state of mind for such things.

Noch ein paar der zuletzt hier besonders häufig geteilten #News:
Gelöscht und doch nicht weg: Signal speichert Nachrichten länger als erwartet

Gelöscht und doch nicht weg: Signal speichert Nachrichten länger als erwartet
Je nachdem, wie intensiv man den Messenger nutzt, kann es Tage dauern, bis eine gelöschte Nachricht weg ist. Signal ignorierte den Fehler ein halbes Jahr.

Trump threatens to "put a big tariff on the UK" if it does not drop its digital services tax, which he views as unfairly targeting US tech companies (Connor Stringer/Telegraph)
https://www.telegraph.co.uk/us/news/2026/04/24/trump-dr…

Trump threatens Starmer with ‘big tariff’ over tech tax
President tells The Telegraph he will retaliate if Britain continues to ‘target’ major American companies such as Apple, Google and Meta

Einige der zuletzt hier besonders häufig geteilten #News:
Smart-TV: Europäische TV-Sender wehren sich gegen Tech-Konzerne

Noch ein paar der zuletzt hier besonders häufig geteilten #News:
Smart-TV: Europäische TV-Sender wehren sich gegen Tech-Konzerne