Tootfinder

Vier Raumfahrer von der ISS abgedockt
Rund eine Woche nach der Ankunft ihrer Ablöse-Crew haben sich vier Raumfahrer von der ISS auf den Weg zurück zur Erde gemacht.
https://www.heise.de/news/Vier-Raumfah…

En Norvège, la gauche remporte les élections législatives, talonnée par l’extrême droite
https://www.lemonde.fr/international/article/2025/09/09/en-norvege-la-gauche-remporte-les-elections-legislatives_6640034_…

En Norvège, la gauche remporte les élections législatives
Le parti travailliste du premier ministre sortant, Jonas Gahr Store, arrive en tête du scrutin, devant la droite anti-immigration, qui réalise son meilleur score depuis sa fondation en 1973.

"Oil exploration in the Congo basin rainforest could be a disaster for nature and the climate"
#Congo #FossilFuels #Climate

Hands off the EU’s environmental laws! #Europe

#petition Hands off the EU’s environmental laws!
The European Commission plans to weaken laws designed to protect the environment – both at home and worldwide. Details will be announced in the fall through an “Omnibus package.” The Commission is currently gathering feedback from the public to learn what people think. Get involved and make your voice heard!

Texans to sign Jalen Mills to reinforce secondary with C.J. Gardner-Johnson, Jimmie Ward sidelined, per report

https://www.cbssports.com/nfl/news/texans-…

Atlanta-based Rainforest, which lets platforms embed payment processing, raised a $29M Series B led by Matrix and Infinity, taking its total funding to $57.5M (Crunchbase News)
https://news.crunchbase.com/fintech/stripe-challenger-rainforest-seriesb-funding/…

Exclusive: Stripe Challenger Rainforest Lands $29M Series B
Rainforest, a startup that embeds payment processing into other software platforms, has raised $29 million in a Series B funding round, the company told Crunchbase News exclusively.

CleanQRL: Lightweight Single-file Implementations of Quantum Reinforcement Learning Algorithms
Georg Kruse, Rodrigo Coelho, Andreas Rosskopf, Robert Wille, Jeanette Miriam Lorenz
https://arxiv.org/abs/2507.07593

CleanQRL: Lightweight Single-file Implementations of Quantum Reinforcement Learning Algorithms
At the interception between quantum computing and machine learning, Quantum Reinforcement Learning (QRL) has emerged as a promising research field. Due to its novelty, a standardized and comprehensive collection for QRL algorithms has not yet been established. Researchers rely on numerous software stacks for classical Reinforcement Learning (RL) as well as on various quantum computing frameworks for the implementation of the quantum subroutines of their QRL algorithms. Inspired by the CleanRL l…

Narrative-Guided Reinforcement Learning: A Platform for Studying Language Model Influence on Decision Making
Anup Tuladhar, Araz Minhas, Adam Kirton, Eli Kinney-Lang
https://arxiv.org/abs/2509.08785

Narrative-Guided Reinforcement Learning: A Platform for Studying Language Model Influence on Decision Making
We present a preliminary experimental platform that explores how narrative elements might shape AI decision-making by combining reinforcement learning (RL) with language model reasoning. While AI systems can now both make decisions and engage in narrative reasoning, these capabilities have mostly been studied separately. Our platform attempts to bridge this gap using a dual-system architecture to examine how narrative frameworks could influence reward-based learning. The system comprises a rein…

Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning
Ziyang Wang, Jaehong Yoon, Shoubin Yu, Md Mohaiminul Islam, Gedas Bertasius, Mohit Bansal
https://arxiv.org/abs/2507.06485

Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning
Despite advances in reinforcement learning (RL)-based video reasoning with large language models (LLMs), data collection and finetuning remain significant challenges. These methods often rely on large-scale supervised fine-tuning (SFT) with extensive video data and long Chain-of-Thought (CoT) annotations, making them costly and hard to scale. To address this, we present Video-RTS, a new approach to improve video reasoning capability with drastically improved data efficiency by combining data-ef…

Oil exploration in the Congo basin rainforest could be a disaster for nature and the climate https://www.theguardian.com/environment/2025/aug/07/opening-up-the-congo-basin-rainforest-could-be-a-disaster-for-na…