Tootfinder

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

Kraken Becomes Latest to Win a License Under Europe's New Rules
Approval from Ireland's central bank gives Kraken the ability to operate across 27 EU states as it races to catch up to rival Coinbase.

Every time you use a server-based LLM, you hasten the fall of civilization due to climate change.
I wish I were being hyperbolic.
https://www.frontiersin.org/news/2025/06/19/ai-prompts-50-times-more-co2-emissions

Some of your AI prompts could cause 50 times more CO2 emissions than others
Researchers found some LLMs create four times the amount of CO2 emissions than other models with comparable accuracy. Their findings allow users to make informe

😠
Arrests in France after scores report being attacked with syringes at street music festival | France | The Guardian
https://www.theguardian.com/world/2025/jun/23/france-syringe-attacks-street-music-festival-fet…

The MALATANG survey: Dense gas distribution on sub-kiloparsec scales across the disk of M82
Jian-Fa Wang, Yu Gao, Xue-Jian Jiang, Li Ji, Zhi-Yu Zhang, Jun-Zhi Wang, Jun-Feng Wang, R. Thomas Greve, Yan Jiang, Ashley Bemis, Elias Brinks, Aeree Chung, J. Malcolm Currie, Richard de Grijs, Taotao Fang, C. Luis Ho, Bumhyun Lee, Satoki Matsushita, Micha{\l} Micha{\l}owski, Soojong Pak, Panomporn Poojon, G. Mark Rawlings, Amelie Saintonge, Yi-Chen Sun, Jing Zhou

The MALATANG survey: Dense gas distribution on sub-kiloparsec scales across the disk of M82
We present observations of HCN J=4-3 and HCO^+ J=4-3 lines obtained with the James Clerk Maxwell Telescope as part of the MALATANG survey, combined with archival HCN J=1-0 and HCO^+ J=1-0 data from the Green Bank Telescope, to study the spatial distribution and excitation conditions of dense molecular gas in the disk of M82. We detect HCN J=4-3 and HCO^+ J=4-3 emission within the central region (< 500 pc) of the galaxy, while the J=1-0 emission lines exhibit a more extended spatial distribution…

Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks
Manyi Li, Renshuai Tao, Yufan Liu, Chuangchuang Tan, Haotong Qin, Bing Li, Yunchao Wei, Yao Zhao
https://arxiv.org/abs/2506.20548

Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks
With the rapid advancement of deep learning, particularly through generative adversarial networks (GANs) and diffusion models (DMs), AI-generated images, or ``deepfakes", have become nearly indistinguishable from real ones. These images are widely shared across Online Social Networks (OSNs), raising concerns about their misuse. Existing deepfake detection methods overlook the ``block effects" introduced by compression in OSNs, which obscure deepfake artifacts, and primarily focus on raw images,…

A Question Bank to Assess AI Inclusivity: Mapping out the Journey from Diversity Errors to Inclusion Excellence
Rifat Ara Shams, Didar Zowghi, Muneera Bano
https://arxiv.org/abs/2506.18538

A Question Bank to Assess AI Inclusivity: Mapping out the Journey from Diversity Errors to Inclusion Excellence
Ensuring diversity and inclusion (D&I) in artificial intelligence (AI) is crucial for mitigating biases and promoting equitable decision-making. However, existing AI risk assessment frameworks often overlook inclusivity, lacking standardized tools to measure an AI system's alignment with D&I principles. This paper introduces a structured AI inclusivity question bank, a comprehensive set of 253 questions designed to evaluate AI inclusivity across five pillars: Humans, Data, Process, System, and …

Building Forest Inventories with Autonomous Legged Robots -- System, Lessons, and Challenges Ahead
Mat\'ias Mattamala, Nived Chebrolu, Jonas Frey, Leonard Frei{\ss}muth, Haedam Oh, Benoit Casseau, Marco Hutter, Maurice Fallon
https://arxiv.org/abs/2506.20315

Building Forest Inventories with Autonomous Legged Robots -- System, Lessons, and Challenges Ahead
Legged robots are increasingly being adopted in industries such as oil, gas, mining, nuclear, and agriculture. However, new challenges exist when moving into natural, less-structured environments, such as forestry applications. This paper presents a prototype system for autonomous, under-canopy forest inventory with legged platforms. Motivated by the robustness and mobility of modern legged robots, we introduce a system architecture which enabled a quadruped platform to autonomously navigate an…

This https://arxiv.org/abs/2404.04146 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Nonlocally coupled moisture model for convective self-aggregation
Clouds play a central role in climate physics by interacting with precipitation, radiation, and circulation. Despite being a fundamental issue in convective organization, the self-aggregation of clouds lacks a theoretical explanation due to its complexity. In this study, we introduce an idealized mathematical model where the system's state is represented solely by the vertically integrated water vapor content of atmospheric columns under the weak temperature gradient approximation. By analyzing…

What is the equivalent of Dunning-Kruger but for when an electorate installs an aggressively stupid populist who destroys much of the technoscientific knowledge of that nation but the electorate is not sufficiently educated to comprehend what is being destroyed until their infrastructures and health systems start failing?

What is the equivalent of Dunning-Kruger but for when an electorate installs an aggressively stupid populist who destroys much of the technoscientific knowledge of that nation but the electorate is not sufficiently educated to comprehend what is being destroyed until their infrastructures and health systems start failing?