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Radoslaw Sikorski, vice-premier ministre de Pologne : « Le défi de l’UE consiste Š traduire son poids économique en influence et en leadership mondiaux »
https://www.

Radoslaw Sikorski, vice-premier ministre de Pologne : « Le défi de l’UE consiste à traduire son poids économique en influence et en leadership mondiaux »
Le ministre des affaires étrangères polonais appelle, dans une tribune au « Monde », au renfort de la coopération européenne en matière de sécurité, de migration, de technologie et de politique étrangère et à une alliance occidentale accrue avec les Etats-Unis.

The White House points to a
seven-month snapshot
showing low inflation,
but economists say prices are closer to 3 percent.
The shutdown delays fresh data.
Most experts agree inflation has picked up in recent months,
in part because of Trump’s tariffs.
Economists expect more tariff-driven price increases in the months to come.

Trump says inflation is dead. Most data says: Not quite.
The White House says inflation is low and cool. Virtually every alternative calculation paints a less rosy picture.

Generative AI and the Transformation of Software Development Practices
Vivek Acharya
https://arxiv.org/abs/2510.10819 https://arxiv.org/pdf/2510.10819

Generative AI and the Transformation of Software Development Practices
Generative AI is reshaping how software is designed, written, and maintained. Advances in large language models (LLMs) are enabling new development styles - from chat-oriented programming and 'vibe coding' to agentic programming - that can accelerate productivity and broaden access. This paper examines how AI-assisted techniques are changing software engineering practice, and the related issues of trust, accountability, and shifting skills. We survey iterative chat-based development, multi-agen…

xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning
Cheng Qian, Zuxin Liu, Shirley Kokane, Akshara Prabhakar, Jielin Qiu, Haolin Chen, Zhiwei Liu, Heng Ji, Weiran Yao, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang
https://arxiv.org/abs/2510.08439

xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning
Modern LLM deployments confront a widening cost-performance spectrum: premium models deliver strong reasoning but are expensive, while lightweight models are economical yet brittle on complex tasks. Static escalation rules and keyword heuristics under-utilize this spectrum and fail to adapt across task types. We present xRouter, a tool-calling-based routing system in which a learned router can either answer directly or invoke one or more external models. The router is trained end-to-end with re…

Quantifying Gender Stereotypes in Japan between 1900 and 1999 with Word Embeddings
Shintaro Sakai, Haewoon Kwak, Jisun An, Akira Matsui
https://arxiv.org/abs/2510.03905 https://…

Quantifying Gender Stereotypes in Japan between 1900 and 1999 with Word Embeddings
We quantify the evolution of gender stereotypes in Japan from 1900 to 1999 using a series of 100 word embeddings, each trained on a corpus from a specific year. We define the gender stereotype value to measure the strength of a word's gender association by computing the difference in cosine similarity of the word to female- versus male-related attribute words. We examine trajectories of gender stereotype across three traditionally gendered domains: Home, Work, and Politics, as well as occupatio…

TriAlignXA: An Explainable Trilemma Alignment Framework for Trustworthy Agri-product Grading
Jianfei Xie, Ziyang Li
https://arxiv.org/abs/2510.01990 https://

TriAlignXA: An Explainable Trilemma Alignment Framework for Trustworthy Agri-product Grading
The 'trust deficit' in online fruit and vegetable e-commerce stems from the inability of digital transactions to provide direct sensory perception of product quality. This paper constructs a 'Trust Pyramid' model through 'dual-source verification' of consumer trust. Experiments confirm that quality is the cornerstone of trust. The study reveals an 'impossible triangle' in agricultural product grading, comprising biological characteristics, timeliness, and economic viability, highlighting the li…

Agora: Bridging the GPU Cloud Resource-Price Disconnect
Ian McDougall, Noah Scott, Joon Huh, Kirthevasan Kandasamy, Karthikeyan Sankaralingam
https://arxiv.org/abs/2510.05111 ht…

Agora: Bridging the GPU Cloud Resource-Price Disconnect
The historic trend of Moore's Law, which predicted exponential growth in computational performance per dollar, has diverged for modern Graphics Processing Units (GPUs). While Floating Point Operations per Second (FLOPs) capabilities have continued to scale economically, memory bandwidth has not, creating a significant price-performance disconnect. This paper argues that the prevailing time-based pricing models for cloud GPUs are economically inefficient for bandwidth-bound workloads. These mode…

Even before Microsoft Azure had a global failure this week,
Austria's Ministry of Economy had taken a decisive step toward digital sovereignty.
The Ministry is migrating 1,200 employees to a Nextcloud-based cloud and collaboration platform hosted on Austrian-based infrastructure
It's the latest move in a European trend to shift away from Big Tech.

European governments and agencies want to control sensitive data.

Another European agency shifts off Big Tech, as digital sovereignty movement gains steam
European Union states are increasingly shifting toward European-based companies that offer open-source solutions. Here's why.

A Comparison of Star Formation Rates by Different Tracers in Nearby Galaxies
Huynh Anh N. Le, Jong-Hak Woo, Yongquan Xue, Ashraf Ayubinia, Changseok Kim, Xiaozhi Lin
https://arxiv.org/abs/2510.05687

A Comparison of Star Formation Rates by Different Tracers in Nearby Galaxies
We utilize a large sample of $\sim$113,000 galaxies ($z < 0.3$) from the Sloan Digital Sky Survey with high-quality data to compare star formation rates (SFRs) across multiple diagnostic methods and examine their connection to Active Galactic Nuclei (AGNs) strength, indicated by Eddington ratio. Our sample encompassed star-forming (SF), composite, Seyfert, and LINER galaxies. Our analysis utilizes various SFRs indicators, including observed infrared flux ($\rm SFR_{FIR}$) from AKARI/Herschel ($…