Tootfinder

« Le Grand Détournement » ou comment la politique de l’offre détourne l’argent public au profit des plus riches
https://www.lemonde.fr/idees/article/2025/09/12/comment-la-politique-de-l-offre-…

Comment la « politique de l’offre » détourne l’argent public au profit des plus riches
Dans « Le Grand Détournement », les journalistes Matthieu Aron et Caroline Michel-Aguirre décryptent comment, chaque année, environ 270 milliards d’euros sont transférés vers les plus fortunés et les entreprises.

Identifying Key Features for Establishing Sustainable Agro-Tourism Centre: A Data Driven Approach
Alka Gadakh, Vidya Kumbhar, Sonal Khosla, Kumar Karunendra
https://arxiv.org/abs/2509.09214

Identifying Key Features for Establishing Sustainable Agro-Tourism Centre: A Data Driven Approach
Agro-tourism serves as a strategic economic model designed to facilitate rural development by diversifying income streams for local communities like farmers while promoting the conservation of indigenous cultural heritage and traditional agricultural practices. As a very booming subdomain of tourism, there is a need to study the strategies for the growth of Agro-tourism in detail. The current study has identified the important indicators for the growth and enhancement of agro-tourism. The study…

Expanding the Pierre Auger Observatory Open Data program
V. Scherini (for the Pierre Auger Collaboration)
https://arxiv.org/abs/2507.08504 https://

Expanding the Pierre Auger Observatory Open Data program
Since 2021, the Open Data Portal has provided access to the Pierre Auger Observatory's data for both the scientific community and the general public. The data release process has been in place since the Observatory's foundation. It continues to be strengthened as outlined in the approved policy and the Observatory's Data Management Plan. More than 80 000 cosmic-ray events above $10^{17}$ eV, detected with the surface and fluorescence detectors, have been released at various levels, from calibra…

I’m not even a screen reader user, and I wrote a blog post about folks (managers, marketers, devs, etc) lazily blaming screen readers. Though I suspect folks bitched to me because I’m not blind so of course I would agree.
https://caneandable.social/@WeirdWriter/114988592594107119

Cue the "when the worst person you know says something you agree with" gifs
https://mastodon.xyz/@rms/115000694819761385

Edge-ASR: Towards Low-Bit Quantization of Automatic Speech Recognition Models
Chen Feng, Yicheng Lin, Shaojie Zhuo, Chenzheng Su, Ramchalam Kinattinkara Ramakrishnan, Zhaocong Yuan, Xiaopeng Zhang
https://arxiv.org/abs/2507.07877

Edge-ASR: Towards Low-Bit Quantization of Automatic Speech Recognition Models
Recent advances in Automatic Speech Recognition (ASR) have demonstrated remarkable accuracy and robustness in diverse audio applications, such as live transcription and voice command processing. However, deploying these models on resource constrained edge devices (e.g., IoT device, wearables) still presents substantial challenges due to strict limits on memory, compute and power. Quantization, particularly Post-Training Quantization (PTQ), offers an effective way to reduce model size and infere…

Large Language Model Data Generation for Enhanced Intent Recognition in German Speech
Theresa Pekarek Rosin, Burak Can Kaplan, Stefan Wermter
https://arxiv.org/abs/2508.06277 ht…

Large Language Model Data Generation for Enhanced Intent Recognition in German Speech
Intent recognition (IR) for speech commands is essential for artificial intelligence (AI) assistant systems; however, most existing approaches are limited to short commands and are predominantly developed for English. This paper addresses these limitations by focusing on IR from speech by elderly German speakers. We propose a novel approach that combines an adapted Whisper ASR model, fine-tuned on elderly German speech (SVC-de), with Transformer-based language models trained on synthetic text d…

Generative AI and the Future of the Digital Commons: Five Open Questions and Knowledge Gaps
Arman Noroozian, Lorena Aldana, Marta Arisi, Hadi Asghari, Renata Avila, Pietro Giovanni Bizzaro, Ramya Chandrasekhar, Cristian Consonni, Deborah De Angelis, Francesca De Chiara, Maria del Rio-Chanona, Melanie Dulong de Rosnay, Maria Eriksson, Frederic Font, Emilia Gomez, Val\'erian Guillier, Lisa Gutermuth, David Hartmann, Lucie-Aim\'ee Kaffee, Paul Keller, Felix Stalder, Joao Vinagre, …

Generative AI and the Future of the Digital Commons: Five Open Questions and Knowledge Gaps
The rapid advancement of Generative AI (GenAI) relies heavily on the digital commons, a vast collection of free and open online content that is created, shared, and maintained by communities. However, this relationship is becoming increasingly strained due to financial burdens, decreased contributions, and misalignment between AI models and community norms. As we move deeper into the GenAI era, it is essential to examine the interdependent relationship between GenAI, the long-term sustainabilit…

McLaurin hold-in ends with deal worth up to $96M https://www.espn.com/nfl/story/_/id/46071301/sources-commanders-wr-terry-mclaurin-agree-3-year-deal

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
Zhiheng Xi, Jixuan Huang, Chenyang Liao, Baodai Huang, Honglin Guo, Jiaqi Liu, Rui Zheng, Junjie Ye, Jiazheng Zhang, Wenxiang Chen, Wei He, Yiwen Ding, Guanyu Li, Zehui Chen, Zhengyin Du, Xuesong Yao, Yufei Xu, Jiecao Chen, Tao Gui, Zuxuan Wu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
Developing autonomous LLM agents capable of making a series of intelligent decisions to solve complex, real-world tasks is a fast-evolving frontier. Like human cognitive development, agents are expected to acquire knowledge and skills through exploration and interaction with the environment. Despite advances, the community still lacks a unified, interactive reinforcement learning (RL) framework that can effectively train such agents from scratch -- without relying on supervised fine-tuning (SFT…