Kraken secures a MiCA license from the Central Bank of Ireland to offer crypto services across the EU, following Coinbase's approval in Luxembourg last week (Callan Quinn/Decrypt)
https://decrypt.co/327112/kraken-license-europes-new-rules
Affaire de Bétharram : en 1998, les ratés de la justice face aux agresseurs présumés
https://www.lemonde.fr/societe/article/2025/06/25/affaire-de-betharram-en-1998-les-rates-de-la-…
Interfacial reconstruction effects in insulating double perovskite Nd$_2$NiMnO$_6$/SrTiO$_3$ and Nd$_2$NiMnO$_6$/NdGaO$_3$ thin films
Nandana Bhattacharya, Ranjan Kumar Patel, Siddharth Kumar, Prithwijit Mandal, Jyotirmay Maity, Christoph Klewe, Zhan Zhang, Hua Zhou, Srimanta Middey
https://arxiv.org/abs/2506.20264
Filtering for Creativity: Adaptive Prompting for Multilingual Riddle Generation in LLMs
Duy Le, Kent Ziti, Evan Girard-Sun, Sean O'Brien, Vasu Sharma, Kevin Zhu
https://arxiv.org/abs/2508.18709
Die Vorfreude steigt. Am Sonntag beginnt die elfte Ausgabe vom Transcontinental Race #tcrno11
Die Punkte auf der Karte kann man live verfolgen https://followmychallenge.com/live/tcrno11/
Thermal nature of the causal diamond horizon: A hidden property of the inertial propagator
Nada Eissa, Carlos R. Ord\'o\~nez, Gustavo Valdivia-Mera
https://arxiv.org/abs/2508.16880
A post from the archive 📫:
Invalid Access to memory location in KUDU App Services
https://www.poppastring.com/blog/invalid-access-to-memory-location-in-kudu-app-services
A devastating overnight attack in Kyiv has killed at least 16 people and wounded over 110 more.
This is just the latest in Russia's intensified offensive that has made April the deadliest month since last September.
Right now, 5 million Ukrainian refugees are scattered across Europe,
while 3.7 million people remain displaced inside their own country.
Families are fleeing for their lives as attacks spread across eastern, southern and northeastern regions.
U…
Bridging Offline and Online Reinforcement Learning for LLMs
Jack Lanchantin, Angelica Chen, Janice Lan, Xian Li, Swarnadeep Saha, Tianlu Wang, Jing Xu, Ping Yu, Weizhe Yuan, Jason E Weston, Sainbayar Sukhbaatar, Ilia Kulikov
https://arxiv.org/abs/2506.21495 https://arxiv.org/pdf/2506.21495 https://arxiv.org/html/2506.21495
arXiv:2506.21495v1 Announce Type: new
Abstract: We investigate the effectiveness of reinforcement learning methods for finetuning large language models when transitioning from offline to semi-online to fully online regimes for both verifiable and non-verifiable tasks. Our experiments cover training on verifiable math as well as non-verifiable instruction following with a set of benchmark evaluations for both. Across these settings, we extensively compare online and semi-online Direct Preference Optimization and Group Reward Policy Optimization objectives, and surprisingly find similar performance and convergence between these variants, which all strongly outperform offline methods. We provide a detailed analysis of the training dynamics and hyperparameter selection strategies to achieve optimal results. Finally, we show that multi-tasking with verifiable and non-verifiable rewards jointly yields improved performance across both task types.
toXiv_bot_toot
Filing: Intel is laying off 5,000 employees across California, Oregon, Texas, and Arizona; California cuts affect 1,935, more than double the initial estimates (Nathan Owens/Manufacturing Dive)
https://www.manufacturingdive.com/news/int