Tootfinder

#Podcast
Die Zahl der diagnostizierten #Endometriose-Fälle ist in den vergangenen 20 Jahren deutlich gestiegen.
Laut Schmerzforscherin Esther Pogatzki-Zahn deutet dies darauf hin, dass die Erkrankung häufiger und früher erkannt wird. Eine frühe Diagnose kann helfen, Beschwerden gezi…

Endometriose: „Frühe Diagnose ist entscheidend“
Die Zahl der Frauen mit der Diagnose Endometriose ist in den letzten 20 Jahren stark gestiegen – zwischen 2005 und 2024 von rund 230.000 auf gut 510.000. „Diese Zahlen sind ein Beleg dafür, dass die Symptome immer früher und häufiger diagnostiziert werden“, erklärt die Schmerzforscherin Prof. Dr. Esther Pogatzki-Zahn von der Universität Münster der neuen Folge des „Umdenken“-Podcasts. Darüber hinaus spricht sie Hausärzten bei der Diagnose der Krankheit eine wichtige Rolle zu u…

NEW BOOK> Extraordinary Capacities in the Buddhist Path of Liberation: A Diachronic Study Based on the Theravāda Sources
https://ift.tt/3Z1NJoz
Third Symposium on Dance, Music, and Performing Arts of the Middle East, North Africa, Central Asia,…
via Input 4 RELCFP

Just finished "A Deepness in the Sky" by Vernor Vinge. A fascinating and epic science fiction novel with fascinating ideas about technology and also future societies. As I'm delving into a lot of sci fi looking for social imagination it's a good find in some ways but disappointing in others. The Qeng Ho culture is interesting, but their society is uninspiring; Vinge's rosy view of "trade" is not one I completely share, and their hierarchies and wealth accumulation are less compatible with their freedoms in my imagination than in Vinge's. That said, his perspective on the possibilities of galactic-scale civilization and the idea of the "age of failed dreams" are fascinating, especially right now, and his detailed ideas about programming, AI, automaton, and "Focus" are extremely relevant right now. Ultimately I didn't love some parts of the dénouement, and there's a lot of "great man theory of history" going on, including (only somewhat ameliorated) a focus on men over women. Vinge's damsels in distress have a lot more agency than usual for the role, but with the exception of Victory Sr. and Jr., the damsels are very much in distress, and Victory Sr. gets overshadowed a lot by Underhill.
It definitely helps one expand their imagination of what long-term and large-scale human existence could look like, which is great and no easy feat, and both the technologies that are written in and those written out are extremely convincing. The only thing I didn't find compelling was the transposition of capitalism onto such space and time scales. It's a very standard feature of sci fi from the last few decades, and I'm sure most readers don't question it, but I've become someone who can no longer imagine "capitalism across the stars" without questioning how realistic it is that its self-destructive tendencies could possibly last even a few more centuries, let alone succeed at interstellar travel.
One last extremely fascinating thing: how closely the strengths and weaknesses of Focus track with the strengths and weaknesses of modern generative AI. That, and the way that the "age of failed dreams" idea can help people imagine beyond generative AI in a positive way.
#AmReading #ReadingNow #Bookstodon

from my link log —
A Mandelbrot set renderer written in BSD make.
https://github.com/b-aaz/bmake-extravaganza
saved 2026-07-06 https://

The idea of writing extremely customized software using LLMs is a curious one.
It may seem like a liberating prospect at first, but it's actually another instance of cloud computing: i.e. your software stack is *written* by the cloud.
https://isene.org/2026/05/Audience-of-One.html…

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.

Die Webapp ist natürlich unbequem. Über die API kann man es auch nutzen, und es ist SCHWEINETEUER: 180$ pro 1M Token Output.
Zum Vergleich: Das gemeinhin als teuer geltende Opus 4.7 kostet 24$, ein großes OS-Modell (> 1T Param.) wie DeepSeek V4 Pro 85 Cent.
In CODEX, dem Coding-Harness von OpenAI, kann man Pro auch nicht per Monatsabo nutzen. Ergäbe aber auch wenig Sinn: Das Modell braucht extrem lange zum Antworten. Mathe-Frage reingeben und 1-2h auf die Antwort warten ist komplett normal.

Zivilisten im Krieg (III) https://www.german-foreign-policy.com/news/detail/10439

Die Vereinten Nationen warnen angesichts der #Europa-Hitzewelle im Mai vor den Folgen der #Klimakrise.
Rekordwerte von bis zu 16 Grad über dem Durchschnitt werden mit der Abhängigkeit von #Kohle, …

Rekordhitze im Mai: Europa soll fossile Abhängigkeit beenden
Die Vereinten Nationen warnen: Hauptgrund für die extreme Hitze in Europa ist laut ihnen die weltweite Abhängigkeit von Kohle, Öl und Gas.