Tootfinder

«KI-Modelle sind anfällig für wiederholte Angriffe:
Laut Forschern von Cisco versagen KI-Modelle bei realistischen Multi-Turn-Angriffen und lassen an Sicherheits-Benchmarks auf Basis weniger Prompts zweifeln.»
Der moderne Widerspruch ist die KI oder was ist es sonnst? So klug wie KI angeboten wird ist es einfach nicht.
🤖

KI-Modelle sind anfällig für wiederholte Angriffe
Laut Forschern von Cisco versagen KI-Modelle bei realistischen Multi-Turn-Angriffen und lassen an Sicherheits-Benchmarks auf Basis weniger Prompts zweifeln.

from my link log —
C hashmaps benchmarks.
https://martin.ankerl.com/2019/04/01/hashmap-benchmarks-01-overview/
saved 2020-07-09

Hashmaps Benchmarks - Overview
Finding the Fastest, Memory Efficient Hashmap

The largest US banks plan to launch a tokenized deposit network in 2027 to connect traditional payment rails with the infrastructure that digital assets run on (Wall Street Journal)
https://www.wsj.com/finance/banking/jpmorg

Just finished "The Terraformers" by Annalee Newitz (@…). It was recommended as a "solarpunk" book, and I'm currently on a quest to find more speculative fiction as good as Le Guin or Butler, so I was eager to dig in. Having tagged the author (hi) I'll try to be polite here, but I'll admit I was disappointed.
Newitz clearly has a powerful imagination and there's lots of great stuff in the book, but it's not at all pushing boundaries in terms of imagining future societies. I think the message and intent was good in a lot of places, but off or self-contradictory in others. I absolutely adore the relatively small point made at the end about revolutions being complicated and not boiling down to heroes and battles, but despite the book's attempt to avoid that, I think it still falls into that pattern. Without too many spoilers, the way that some big problems are resolved near the end leans too much on a legal framework without questioning how it's enforced, and that resolution then means that a few heroic acts are enough to tip the balance, which undermines the point about messy histories.
The biggest contradiction of the book to my mind though is with a central theme. The book really explores a world in which "anyone of any species can be a person, as long as we just bioengineer them to be intelligent enough," and it tries to make a point about how engineering limited intelligences is cruel. At several points characters comment about how personhood shouldn't depend on intelligence. There's even a brief quote about how maybe rivers could be people... But... the point could have been "anyone can be a person, regardless of intelligence." This would have made for much more interesting philosophical territory to explore IMO (how do we then bound personhood; how do we reconcile predator/prey relations between persons, etc.). These are also questions that the indigenous traditions Newitz draws on (and consulted about, as mentioned in the acknowledgements) has interesting answers for, but we don't get to explore them through Newitz' world, and because the question of personhood regresses to the question of intelligence, it feels like the moral philosophy of the ERT folks isn't any better than the "InAss" they disparage.
It's not a bad book overall, even if it doesn't engage with the questions I'm hungry to see others engage with. Newitz' efforts to sketch out a more vibrant and diverse future are still monumental and inspiring in a lot of ways. I'm just still looking for something more. Ultimately, I think it lives up to the "solar" but not very much to the "punk."
#AmReading #ReadingNow #Bookstodon

Is Malik Benson an answer for Raiders’ receiving corp in the draft? https://raiderswire.usatoday.com/story/sports/nfl/raiders/2026/04/21/is-malik-benson-an-answer-for-raiders-receiving-corp-in-the-d…

"...the real question is no longer whether Europe can afford to make the energy transition. It is whether it can afford not to. From a central banking perspective, the answer is clear."
https://www.ecb.europa.eu/press/blog/date/2026/html/ecb.…

Europe’s fossil fuel dependence poses risks to price stability
The European Central Bank (ECB) is the central bank of the European Union countries which have adopted the euro. Our main task is to maintain price stability in the euro area and so preserve the purchasing power of the single currency.

POL-NOM: Falscher Bankmitarbeiter erlangt EC-Karte und PIN Northeim (ots) - 37154 Northeim, Chopinweg, Freitag, 05.06.2026, 12.00 - 13.00 Uhr NORTHEIM (mho) Am Freitag gegen 12.00 Uhr wurde eine 85-jährige Northeimerin von einer angeblichen Mitarbeiterin einer örtlichen Bank angerufen. Sie gab an, dass es ... https://www.

Ich hab keine Ahnung, wie der Phishing-Angriff auf Signal-Accounts im Detail aussah. Und die einfache Reaktion ist: „die sind alle zu dumm.“
Letztlich heißt das: die Menschen, die da Signal (oder andere Messenger) nutzen, haben kein gutes mentales Modell, das ihnen intuitiv erlaubt zu merken, wenn da irgendwas seltsam ist. Wir sind einfach nicht gut darin, Systeme zu bauen, die diesbezüglich von ihren Usern so gut verstanden werden- und Banken, die Newsletter von Domains Dritter versc…

„Markt beeinflusst“ - Exportverbot ab April: Geht Russland Benzin aus? #News #Nachrichten

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[2/5]:
- POTSA: A Cross-Lingual Speech Alignment Framework for Speech-to-Text Translation
Li, Cui, Wang, Ge, Huang, Li, Peng, Lu, Tashi, Wang, Dang
https://arxiv.org/abs/2511.09232 https://mastoxiv.page/@arXiv_csCL_bot/115541846907664054
- Beyond Elicitation: Provision-based Prompt Optimization for Knowledge-Intensive Tasks
Yunzhe Xu, Zhuosheng Zhang, Zhe Liu
https://arxiv.org/abs/2511.10465 https://mastoxiv.page/@arXiv_csCL_bot/115547607561282911
- $\pi$-Attention: Periodic Sparse Transformers for Efficient Long-Context Modeling
Dong Liu, Yanxuan Yu
https://arxiv.org/abs/2511.10696 https://mastoxiv.page/@arXiv_csCL_bot/115564418836654965
- Based on Data Balancing and Model Improvement for Multi-Label Sentiment Classification Performanc...
Zijin Su, Huanzhu Lyu, Yuren Niu, Yiming Liu
https://arxiv.org/abs/2511.14073 https://mastoxiv.page/@arXiv_csCL_bot/115575715073023141
- HEAD-QA v2: Expanding a Healthcare Benchmark for Reasoning
Alexis Correa-Guill\'en, Carlos G\'omez-Rodr\'iguez, David Vilares
https://arxiv.org/abs/2511.15355 https://mastoxiv.page/@arXiv_csCL_bot/115581410328165116
- Towards Hyper-Efficient RAG Systems in VecDBs: Distributed Parallel Multi-Resolution Vector Search
Dong Liu, Yanxuan Yu
https://arxiv.org/abs/2511.16681 https://mastoxiv.page/@arXiv_csCL_bot/115603508442305146
- Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine Transla...
Marii Ojastu, Hele-Andra Kuulmets, Aleksei Dorkin, Marika Borovikova, Dage S\"arg, Kairit Sirts
https://arxiv.org/abs/2511.17290 https://mastoxiv.page/@arXiv_csCL_bot/115604083224487885
- A Systematic Study of In-the-Wild Model Merging for Large Language Models
O\u{g}uz Ka\u{g}an Hitit, Leander Girrbach, Zeynep Akata
https://arxiv.org/abs/2511.21437 https://mastoxiv.page/@arXiv_csCL_bot/115621178703846052
- CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual Transfer
Lavish Bansal, Naman Mishra
https://arxiv.org/abs/2512.02711 https://mastoxiv.page/@arXiv_csCL_bot/115655090475535157
- Multilingual Medical Reasoning for Question Answering with Large Language Models
Pietro Ferrazzi, Aitor Soroa, Rodrigo Agerri
https://arxiv.org/abs/2512.05658 https://mastoxiv.page/@arXiv_csCL_bot/115683267711014189
- OnCoCo 1.0: A Public Dataset for Fine-Grained Message Classification in Online Counseling Convers...
Albrecht, Lehmann, Poltermann, Rudolph, Steigerwald, Stieler
https://arxiv.org/abs/2512.09804 https://mastoxiv.page/@arXiv_csCL_bot/115700409397020978
- Does Tone Change the Answer? Evaluating Prompt Politeness Effects on Modern LLMs: GPT, Gemini, an...
Hanyu Cai, Binqi Shen, Lier Jin, Lan Hu, Xiaojing Fan
https://arxiv.org/abs/2512.12812 https://mastoxiv.page/@arXiv_csCL_bot/115729149622659403
- Beg to Differ: Understanding Reasoning-Answer Misalignment Across Languages
Ovalle, Ross, Ruder, Williams, Ullrich, Ibrahim, Sagun
https://arxiv.org/abs/2512.22712 https://mastoxiv.page/@arXiv_csCL_bot/115808161882146194
- Activation Steering for Masked Diffusion Language Models
Adi Shnaidman, Erin Feiglin, Osher Yaari, Efrat Mentel, Amit Levi, Raz Lapid
https://arxiv.org/abs/2512.24143 https://mastoxiv.page/@arXiv_csCL_bot/115819533211103315
- JMedEthicBench: A Multi-Turn Conversational Benchmark for Evaluating Medical Safety in Japanese L...
Liu, Li, Niu, Zhang, Xun, Hou, Wang, Iwasawa, Matsuo, Hatakeyama-Sato
https://arxiv.org/abs/2601.01627 https://mastoxiv.page/@arXiv_csCL_bot/115847901607405421
- FACTUM: Mechanistic Detection of Citation Hallucination in Long-Form RAG
Dassen, Kotula, Murray, Yates, Lawrie, Kayi, Mayfield, Duh
https://arxiv.org/abs/2601.05866 https://mastoxiv.page/@arXiv_csCL_bot/115881545684182376
- {\dag}DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems
Zabir Al Nazi, Shubhashis Roy Dipta, Sudipta Kar
https://arxiv.org/abs/2601.06853 https://mastoxiv.page/@arXiv_csCL_bot/115887753245730019
- Symphonym: Universal Phonetic Embeddings for Cross-Script Name Matching
Stephen Gadd
https://arxiv.org/abs/2601.06932 https://mastoxiv.page/@arXiv_csCL_bot/115887767008671765
- LLMs versus the Halting Problem: Revisiting Program Termination Prediction
Sultan, Armengol-Estape, Kesseli, Vanegue, Shahaf, Adi, O'Hearn
https://arxiv.org/abs/2601.18987 https://mastoxiv.page/@arXiv_csCL_bot/115972010510378715
- MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues
Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu
https://arxiv.org/abs/2601.20451 https://mastoxiv.page/@arXiv_csCL_bot/115977891530875024
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