Tootfinder

Russia Is Suspected to Be Behind Breach of Federal Court Filing System
Federal officials are scrambling to assess the damage and address flaws in a sprawling, heavily used computer system long known to have vulnerabilities.
Russia is at least in part responsible for a recent hack of the computer system that manages federal court documents,
including highly sensitive records that might contain information
that could reveal sources and people charged with national secur…

Russia Is Suspected to Be Behind Breach of Federal Court Filing System
Federal officials are scrambling to assess the damage and address flaws in a sprawling, heavily used computer system long known to have vulnerabilities.

Remember to stay hydrated, my peeps

Sources: investigators have uncovered evidence that Russia is at least in part responsible for a recent hack of the US federal court filing system (New York Times)
https://www.nytimes.com/2025/08/12/us/politics/russia-hack-federal-court-system.html…

Russia Is Suspected to Be Behind Breach of Federal Court Filing System
Federal officials are scrambling to assess the damage and address flaws in a sprawling, heavily used computer system long known to have vulnerabilities.

Complex Logical Instruction Generation
Mian Zhang, Shujian Liu, Sixun Dong, Ming Yin, Yebowen Hu, Xun Wang, Steven Ma, Song Wang, Sathish Reddy Indurthi, Haoyun Deng, Zhiyu Zoey Chen, Kaiqiang Song
https://arxiv.org/abs/2508.09125

Complex Logical Instruction Generation
Instruction following has catalyzed the recent era of Large Language Models (LLMs) and is the foundational skill underpinning more advanced capabilities such as reasoning and agentic behaviors. As tasks grow more challenging, the logic structures embedded in natural language instructions becomes increasingly intricate. However, how well LLMs perform on such logic-rich instructions remains under-explored. We propose LogicIFGen and LogicIFEval. LogicIFGen is a scalable, automated framework for ge…

Interesting that some who replied to my post on tax and GDP growth yesterday missed the point.
The point isn't to debate whether tax -> growth (it might, with a tail wind).
The point is that
1) Growth won't happen like it used to.
2) That is good because GDP growth is ecologically and socially lethal.
3) So our leaders (sic) had better adapt to the new reality and use taxation and other measures to build a better, fairer future.
More here:

Getting Real about the Crises Facing the UK | Stop the Damage! Build a Better Future!
Britain and the rest of the world face a set of almost intractable challenges, ecological (including climate), economic and social. Yet political leaders with few exceptions are failing to propose the actions and policies that could address the scale of this pancrisis. Here though is an alternative initiative, a kind of alternative manifesto with a portfolio of illustrative policies...

Simulation of irradiated hybrid planar pixels modules at fluences expected at HL-LHC
Marco Bomben
https://arxiv.org/abs/2506.10823 https://

Simulation of irradiated hybrid planar pixels modules at fluences expected at HL-LHC
Signal loss is the main limitation on tracking/vertexing performance due to radiation damage effect to hybrid pixel detectors when irradiated at fluences expected at High Luminosity LHC (HL-LHC). It is important to have reliable predictions on the charge collection performance after irradiation in order to predict operational voltage values and test tracking algorithms robustness. In this paper the validation of combined TCAD and Monte Carlo simulations of hybrid silicon planar pixels sensors w…

V455 Car: an oscillating eclipsing Algol-type binary in triple star system
Zhao-Long Deng, Wen-Ping Liao, Li-Ying Zhu, Xiang-Dong Shi, Nian-Ping Liu, Ping Li
https://arxiv.org/abs/2506.10124

V455 Car: an oscillating eclipsing Algol-type binary in triple star system
V455 Car is a southern oscillating eclipsing Algol-type system with an orbital period of 5.132888 days. Our first photometric solutions based on the Transiting Exoplanet Survey Satellite indicate that it is a semi-detached binary with the secondary star is almost filling its Roche lobe. The noticeable O'Connell effect in light curve could be explained by hot spot on the primary component, which may be attributed to the mass transfer from the secondary component to the primary one. The absolute …

RationalVLA: A Rational Vision-Language-Action Model with Dual System
Wenxuan Song, Jiayi Chen, Wenxue Li, Xu He, Han Zhao, Pengxiang Ding Shiyan Su, Feilong Tang, Xuelian Cheng, Donglin Wang, Zongyuan Ge, Xinhu Zheng, Zhe Liu, Hesheng Wang, Yunhui Liu, Haoang Li
https://arxiv.org/abs/2506.10826

RationalVLA: A Rational Vision-Language-Action Model with Dual System
A fundamental requirement for real-world robotic deployment is the ability to understand and respond to natural language instructions. Existing language-conditioned manipulation tasks typically assume that instructions are perfectly aligned with the environment. This assumption limits robustness and generalization in realistic scenarios where instructions may be ambiguous, irrelevant, or infeasible. To address this problem, we introduce RAtional MAnipulation (RAMA), a new benchmark that challen…

#Microsoft finishes swallowing #Github, the largest repository of #OpenSource software.
GitHub just got less independent at Microsoft after CEO resignation | The Verge

GitHub just got less independent at Microsoft after CEO resignation
Microsoft is bringing GitHub into its AI engineering team. It’s part of an AI shakeup, following the GitHub CEO resigning.

OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows
Weixuan Wang, Dongge Han, Daniel Madrigal Diaz, Jin Xu, Victor R\"uhle, Saravan Rajmohan
https://arxiv.org/abs/2508.09124

OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows
Autonomous agents powered by large language models (LLMs) are increasingly deployed in real-world applications requiring complex, long-horizon workflows. However, existing benchmarks predominantly focus on atomic tasks that are self-contained and independent, failing to capture the long-term contextual dependencies and multi-interaction coordination required in realistic scenarios. To address this gap, we introduce OdysseyBench, a comprehensive benchmark for evaluating LLM agents on long-horizo…