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Sturmtief #Benjamin hat #Frankreich und die #Schweiz mit Windgeschwindigkeiten von über 160 km/h getroffen.
Der

Sturmtief »Benjamin«: Heftiger Herbststurm trifft Frankreich und die Schweiz
Sturmtief »Benjamin« fegt mit Böen von mehr als 160 Kilometer pro Stunde über Frankreich und die Schweiz. Es gibt Überschwemmungen und Verkehrsbehinderungen, Tausende Haushalte müssen ohne Strom auskommen. Die Bilder.

"Nicolas Guillou, French ICC judge sanctioned by the US: 'You are effectively blacklisted by much of the world's banking system'"
https://www.lemonde.fr…

Nicolas Guillou, French ICC judge sanctioned by the US: 'You are effectively blacklisted by much of the world's banking system'
Six judges and three prosecutors at the International Criminal Court have been sanctioned by the Trump administration. In an interview with Le Monde, Guillou discusses the impact of these measures on his work and daily life.

Source: President Trump has picked Michael Selig, the chief counsel for the SEC's crypto task force, to chair the CFTC, amid a crypto push (Bloomberg Law)
https://news.bloomberglaw.com/banking-law/trump-to-pick-michael-selig-for-…

Trump to Pick Michael Selig for CFTC Chair Amid Crypto Expansion
President Donald Trump has picked Michael Selig to chair the Commodity Futures Trading Commission, according to an administration official, who asked not to be identified discussing personnel matters.

Dak Prescott on matchup with Chiefs, CeeDee Lamb bouncing back, more https://www.dallascowboys.com/news/dak-prescott-on-matchup-with-chiefs-ceedee-lamb-bouncing-back-more

What Does Your Benchmark Really Measure? A Framework for Robust Inference of AI Capabilities
Nathanael Jo, Ashia Wilson
https://arxiv.org/abs/2509.19590 https://

What Does Your Benchmark Really Measure? A Framework for Robust Inference of AI Capabilities
Evaluations of generative models on benchmark data are now ubiquitous, and their outcomes critically shape public and scientific expectations of AI's capabilities. Yet growing skepticism surrounds their reliability. How can we know that a reported accuracy genuinely reflects a model's true performance? Evaluations are often presented as simple measurements, but in reality they are inferences: to treat benchmark scores as evidence of capability is already to assume a theory of what capability is…

PerHalluEval: Persian Hallucination Evaluation Benchmark for Large Language Models
Mohammad Hosseini, Kimia Hosseini, Shayan Bali, Zahra Zanjani, Saeedeh Momtazi
https://arxiv.org/abs/2509.21104

PerHalluEval: Persian Hallucination Evaluation Benchmark for Large Language Models
Hallucination is a persistent issue affecting all large language Models (LLMs), particularly within low-resource languages such as Persian. PerHalluEval (Persian Hallucination Evaluation) is the first dynamic hallucination evaluation benchmark tailored for the Persian language. Our benchmark leverages a three-stage LLM-driven pipeline, augmented with human validation, to generate plausible answers and summaries regarding QA and summarization tasks, focusing on detecting extrinsic and intrinsic …

Dak Prescott on matchup with Chiefs, CeeDee Lamb bouncing back, more https://www.dallascowboys.com/news/dak-prescott-on-matchup-with-chiefs-ceedee-lamb-bouncing-back-more

France's La Poste says it has suffered a suspected DDoS attack in "a major network incident" on Monday, which disrupted its postal and banking services (Lorenzo Franceschi-Bicchierai/TechCrunch)
https://techcrunch.com/2025/12/23/fran

France's postal and banking services disrupted by suspected DDoS attack | TechCrunch
France's postal service, La Poste, said it was hit by a disruptive cyberattack that knocked its services offline.

Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
Sai Teja Reddy Adapala
https://arxiv.org/abs/2509.19517 https://arxiv.org/…

Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
The scaling of Large Language Models (LLMs) has exposed a critical gap between their performance on static benchmarks and their fragility in dynamic, information-rich environments. While models excel at isolated tasks, the computational limits that govern their reasoning under cognitive load remain poorly understood. In this work, we introduce a formal theory of computational cognitive load, positing that extraneous, task-irrelevant information (Context Saturation) and interference from task-sw…

CLaw: Benchmarking Chinese Legal Knowledge in Large Language Models - A Fine-grained Corpus and Reasoning Analysis
Xinzhe Xu, Liang Zhao, Hongshen Xu, Chen Chen
https://arxiv.org/abs/2509.21208

CLaw: Benchmarking Chinese Legal Knowledge in Large Language Models - A Fine-grained Corpus and Reasoning Analysis
Large Language Models (LLMs) are increasingly tasked with analyzing legal texts and citing relevant statutes, yet their reliability is often compromised by general pre-training that ingests legal texts without specialized focus, obscuring the true depth of their legal knowledge. This paper introduces CLaw, a novel benchmark specifically engineered to meticulously evaluate LLMs on Chinese legal knowledge and its application in reasoning. CLaw comprises two key components: (1) a comprehensive, fi…