Für mich ist „die Wirtschaft“ ein Werkzeug, mich mit Waren und Dienstleistungen zu versorgen, und mir in Gegenleistung zu meiner Tätigkeit Geld zu geben, damit ich selbige auch erwerben kann.
Für Konzerninhaber ist die Wirtschaft ein Tool, um aus Arbeitskräften und Kunden die Mittel zu extrahieren, um Villa, Privatjet und Yacht zu finanzieren.
Für Politikys geht es der Wirtschaft gut, wenn sie bestimmte Maßzahlen¹ erfüllt² und kommunizieren selbiges um wiedergewählt zu werden.
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, …
EarlySciRev: A Dataset of Early-Stage Scientific Revisions Extracted from LaTeX Writing Traces
L\'eane Jourdan, Julien Aubert-B\'educhaud, Yannis Chupin, Marah Baccari, Florian Boudin
https://arxiv.org/abs/2603.28515 https://arxiv.org/pdf/2603.28515 https://arxiv.org/html/2603.28515
arXiv:2603.28515v1 Announce Type: new
Abstract: Scientific writing is an iterative process that generates rich revision traces, yet publicly available resources typically expose only final or near-final versions of papers. This limits empirical study of revision behaviour and evaluation of large language models (LLMs) for scientific writing. We introduce EarlySciRev, a dataset of early-stage scientific text revisions automatically extracted from arXiv LaTeX source files. Our key observation is that commented-out text in LaTeX often preserves discarded or alternative formulations written by the authors themselves. By aligning commented segments with nearby final text, we extract paragraph-level candidate revision pairs and apply LLM-based filtering to retain genuine revisions. Starting from 1.28M candidate pairs, our pipeline yields 578k validated revision pairs, grounded in authentic early drafting traces. We additionally provide a human-annotated benchmark for revision detection. EarlySciRev complements existing resources focused on late-stage revisions or synthetic rewrites and supports research on scientific writing dynamics, revision modelling, and LLM-assisted editing.
toXiv_bot_toot
Israël disqualifying itself for the whole world.
https://www.nytimes.com/2026/03/30/world/middleeast/israel-death-penalty-palestinians-attacks.html?unlocked_article_…
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.
Als vollkommen unqualifizierten Beitrag würde ich noch einwerfen, dass unser Wirtschaftssystem dahingehend optimiert, möglichst viele Resourcen zu extrahieren, wo sie vorhanden sind. Wenn also zwei Arbeitskräfte, die vorher, wenn vielleicht auch fragwürdig aufgeteilt, gemeinsam den Aufwand für Geld verdienen und Familie stemmten so weit ausgebeutet werden, dass beide Geld verdienen müssen, dann bleiben keine Ressourcen für den Unterhalt einer Familie.
Unser Wirtschaftssystem fördert eb…
I know someone is going to tell me I’m just “doing it wrong”, or bragging but, I’ve written some *extremely basic* code this week with an LLM (I know I know, but it was mandated that I *try*).
I am absolutely certain I could have written this faster myself.
Als mir vor vierzig Jahren dämmerte, dass ewiges Wachstum nicht funktionieren kann, machte ich mich auf die Suche nach der Frage,
w e s h a l b die Wirtschaft denn immer wachsen müsse. Damals habe ich mir extra ein Wirtschaftsbuch von der HSG St.Gallen besorgt und es gelesen! Aber die Antwort auf meine Frage habe ich nicht gefunden.
Erst im Buch: "Das Ende des Kapitalismus" von Ulrike Herrmann konnte mir erklärt werden, weshalb entgegen jeder
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Die #Klimaattributionsforschung ordnet konkrete #Extremwetter-Ereignisse dem menschengemachten #Klimawandel zu.
Damit können Betroffene Klimaschäden juristisch verfolge…