Tootfinder

"Europe’s ‘staggering’ clean power gains undermined by failure to phase out fuel-burning machines"
#Europe #Energy #FossilFuels

"Der Mythos [faule Arbeitslose usw.] individualisiert soziale Risiken, verdeckt strukturelle Ursachen von Erwerbslosigkeit und stabilisiert ein Sozialstaatsverständnis, das stärker auf Aktivierung und Sanktionierung als auf Absicherung und Unterstützung setzt", so Dr. René Böhme vom Institut Arbeit und Wirtschaft (iaw) der @….

Von wegen faul: Bremer Forscher zerlegen Mythos über Arbeitslose
Sind Arbeitslose wirklich "arbeitsunwillig"? Eine Studie der Uni Bremen widerspricht deutlich. Die Zahlen der Wissenschaftler zeichnen ein ganz anderes Bild.

Europe’s ‘staggering’ clean power gains undermined by failure to phase out fuel-burning machines
#ElectrifyEverything
#EnergyTransition https://www.theguardian.com/environment/2026/mar/23/europe-clean-energy-gains-failure-phase-out-fuel-burning?CMP=Share_AndroidApp_Other

BPOLD-H: Hauptbahnhof Bremen: Bundespolizei verlängert Allgemeinverfügung zum Mitführverbot von gefährlichen Werkzeugen, Schusswaffen, Schreckschusswaffen, Hieb-, Stoß- und Stichwaffen sowie Messern aller Art Bremen (ots) - Die Bundespolizeidirektion Hannover verlängert die Allgemeinverfügung zum Mitführverbot von gefährlichen Werkzeugen, Schusswaffen, Schreckschusswaffen, Hieb-, Stoß- und Stichwaffen sowie Messern aller Art im Hauptbahnhofhttps://www.presseportal.de/blaulicht/pm/70246/62238…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/6]:
- Towards Scalable Oversight via Partitioned Human Supervision
Ren Yin, Takashi Ishida, Masashi Sugiyama
https://arxiv.org/abs/2510.22500 https://mastoxiv.page/@arXiv_csLG_bot/115451787490434401
- ContextPilot: Fast Long-Context Inference via Context Reuse
Yinsicheng Jiang, Yeqi Huang, Liang Cheng, Cheng Deng, Xuan Sun, Luo Mai
https://arxiv.org/abs/2511.03475 https://mastoxiv.page/@arXiv_csLG_bot/115502245581974540
- Metabolomic Biomarker Discovery for ADHD Diagnosis Using Interpretable Machine Learning
Nabil Belacel, Mohamed Rachid Boulassel
https://arxiv.org/abs/2601.11283 https://mastoxiv.page/@arXiv_csLG_bot/115921183182326799
- PhysE-Inv: A Physics-Encoded Inverse Modeling approach for Arctic Snow Depth Prediction
Akila Sampath, Vandana Janeja, Jianwu Wang
https://arxiv.org/abs/2601.17074
- SAGE-5GC: Security-Aware Guidelines for Evaluating Anomaly Detection in the 5G Core Network
Cristian Manca, Christian Scano, Giorgio Piras, Fabio Brau, Maura Pintor, Battista Biggio
https://arxiv.org/abs/2602.03596
- LORE: Jointly Learning the Intrinsic Dimensionality and Relative Similarity Structure From Ordina...
Anand, Helbling, Davenport, Berman, Alagapan, Rozell
https://arxiv.org/abs/2602.04192
- Towards Robust Scaling Laws for Optimizers
Alexandra Volkova, Mher Safaryan, Christoph H. Lampert, Dan Alistarh
https://arxiv.org/abs/2602.07712 https://mastoxiv.page/@arXiv_csLG_bot/116046369672796465
- Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs
Sagnik Mukherjee, Lifan Yuan, Pavan Jayasinha, Dilek Hakkani-T\"ur, Hao Peng
https://arxiv.org/abs/2602.07729 https://mastoxiv.page/@arXiv_csLG_bot/116046377539155485
- AceGRPO: Adaptive Curriculum Enhanced Group Relative Policy Optimization for Autonomous Machine L...
Yuzhu Cai, Zexi Liu, Xinyu Zhu, Cheng Wang, Siheng Chen
https://arxiv.org/abs/2602.07906 https://mastoxiv.page/@arXiv_csLG_bot/116046423413650658
- VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
Guobin Shen, Chenxiao Zhao, Xiang Cheng, Lei Huang, Xing Yu
https://arxiv.org/abs/2602.10693 https://mastoxiv.page/@arXiv_csLG_bot/116057229834947730
- KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models
Zukang Xu, Zhixiong Zhao, Xing Hu, Zhixuan Chen, Dawei Yang
https://arxiv.org/abs/2602.11184 https://mastoxiv.page/@arXiv_csLG_bot/116062537528208461
- MUSE: Multi-Tenant Model Serving With Seamless Model Updates
Correia, Ferreira, Martins, Bento, Guerreiro, Pereira, Gomes, Bono, Ferreira, Bizarro
https://arxiv.org/abs/2602.11776 https://mastoxiv.page/@arXiv_csLG_bot/116062952355379801
- Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference
Jorge Carrasco-Pollo, Floor Eijkelboom, Jan-Willem van de Meent
https://arxiv.org/abs/2602.13813 https://mastoxiv.page/@arXiv_csLG_bot/116085828112928218
- Silent Inconsistency in Data-Parallel Full Fine-Tuning: Diagnosing Worker-Level Optimization Misa...
Hong Li, Zhen Zhou, Honggang Zhang, Yuping Luo, Xinyue Wang, Han Gong, Zhiyuan Liu
https://arxiv.org/abs/2602.14462 https://mastoxiv.page/@arXiv_csLG_bot/116085997857526328
- Divine Benevolence is an $x^2$: GLUs scale asymptotically faster than MLPs
Alejandro Francisco Queiruga
https://arxiv.org/abs/2602.14495 https://mastoxiv.page/@arXiv_csLG_bot/116086011618741857
- \"UberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset
DatologyAI, et al.
https://arxiv.org/abs/2602.15210 https://mastoxiv.page/@arXiv_csLG_bot/116090912256712568
- GLM-5: from Vibe Coding to Agentic Engineering
GLM-5-Team, et al.
https://arxiv.org/abs/2602.15763 https://mastoxiv.page/@arXiv_csLG_bot/116091080686771018
- Anatomy of Capability Emergence: Scale-Invariant Representation Collapse and Top-Down Reorganizat...
Jayadev Billa
https://arxiv.org/abs/2602.15997 https://mastoxiv.page/@arXiv_csLG_bot/116096541546306333
- AI-CARE: Carbon-Aware Reporting Evaluation Metric for AI Models
KC Santosh, Srikanth Baride, Rodrigue Rizk
https://arxiv.org/abs/2602.16042 https://mastoxiv.page/@arXiv_csLG_bot/116096581524696028
- Beyond Message Passing: A Symbolic Alternative for Expressive and Interpretable Graph Learning
Chuqin Geng, Li Zhang, Haolin Ye, Ziyu Zhao, Yuhe Jiang, Tara Saba, Xinyu Wang, Xujie Si
https://arxiv.org/abs/2602.16947 https://mastoxiv.page/@arXiv_csLG_bot/116102426238903124
toXiv_bot_toot

Traum wird wahr - Manuel Feller: „Jetzt könnte ich es lassen“ #News #Nachrichten

With the public outraged over the US-Israeli war with Iran, the Epstein Files coverup, and a cost-of-living crisis,
even Donald Trump’s base of supporters is fracturing,
and Republicans are fixing to get slammed in the upcoming midterm elections.
Perhaps that explains why Trump and MAGA Republicans are obsessively focused on attacking voting rights,
taking federal control over the electoral system,
and preemptively casting doubt on the midterm election results…

Start the steal? Inside Trump’s effort to rig the midterm elections
“As the president becomes more unpopular, his actions will become more extreme, but that doesn't mean they're going to be any more successful,” Ari Berman of Mother Jones tells us.

Of course, economic pressure isn't the only tool we have. Diversity of tactics is critical. I'm not going to tell anyone not to throw buckets of screws into the parking lots and driveways of ICE facilities or blockading facilities with burning dumpstes. Even if i don't promote those types of tactics, we should all STFU if we see people doing them. We all have a place. There are things we can all do. Everything is on the table and it should be, because ICE agents will intimidate you, steal your car, and even murder you for just filming them.
You can cower in fear, or you can stand up and fight with everything you have. Which or those do you want to remember yourself doing?

Augenarzttermin mit K1 (3.5). Was für eine Tortur mit diesen krassen pupillenweitenden brennenden Augentropfen. Drei mal, alle zehn Minuten, soll man die in das Kind reinkriegen, weil sonst der Augentest nicht geht. Und danach noch ewig an drei verschiedenen Augengeräten rumtun. Kind ist ein Wrack danach. Und kann wegen der Tropfen schlecht gucken und braucht Sonnenbrille 🙃
Danach erstmal Eis und Crêpes und Bücherei, etc. dann ist wieder gut 😌
Genug für heute 😪

Source: Bengals won't tender backup QB Browning https://www.espn.com/nfl/story/_/id/48151774/source-bengals-not-tendering-backup-qb-jake-browning