Tootfinder

Big Oil isn’t part of the clean energy push, despite its claims, study shows https://news.mongabay.com/short-article/2025/10/big-oil-isnt-part-of-the-clean-energy-push-despite-its-claims-study-shows/

Big Oil isn’t part of the clean energy push, despite its claims, study shows
A new study that mapped the portfolios of the world’s 250 biggest oil and gas companies found their deployment of renewable energy is paltry: they’re responsible for just 1.42% of the global renewable energy capacity in operation. Despite announcing ambitious plans to embrace renewables, a mere 0.1% of the primary energy they produce comes from […]

"Big Oil isn’t part of the clean energy push, despite its claims, study shows"
#FossilFuels #Climate #ClimateChange

Big Oil isn’t part of the clean energy push, despite its claims, study shows
A new study that mapped the portfolios of the world’s 250 biggest oil and gas companies found their deployment of renewable energy is paltry: they’re responsible for just 1.42% of the global renewable energy capacity in operation. Despite announcing ambitious plans to embrace renewables, a mere 0.1% of the primary energy they produce comes from […]

A proud achievement of my half-century IT career happened in 1996 consulting to the #UNDP toward the first published edition of the Humanity Development Library.
It seemed easy enough: "It can be fairly estimated that 1/3, or about 20 million pages of UN, and as much University and NGO material are very useful. Those 20 million pages useful UN publications probably contain about 50% of solutions for major World problems. This information must be released in digital format for non-profit redistribution in all countries."
also portable and accessible to all platforms, everywhere.
Happily, not only did the project live on, but thanks to @… our once-intractable problem of global delivery is now globally solved!
So, whether or not this is timely, I don't know, but should you need to suddenly rebuild some semblance of civilization from scratch…
Humanity Development Library 2.0 CD-ROM 1998 : #HumanityLibrariesProject : #InternetArchive
https://archive.org/details/humanity-development-library-2.0

TraceAegis: Securing LLM-Based Agents via Hierarchical and Behavioral Anomaly Detection
Jiahao Liu, Bonan Ruan, Xianglin Yang, Zhiwei Lin, Yan Liu, Yang Wang, Tao Wei, Zhenkai Liang
https://arxiv.org/abs/2510.11203

TraceAegis: Securing LLM-Based Agents via Hierarchical and Behavioral Anomaly Detection
LLM-based agents have demonstrated promising adaptability in real-world applications. However, these agents remain vulnerable to a wide range of attacks, such as tool poisoning and malicious instructions, that compromise their execution flow and can lead to serious consequences like data breaches and financial loss. Existing studies typically attempt to mitigate such anomalies by predefining specific rules and enforcing them at runtime to enhance safety. Yet, designing comprehensive rules is di…

LinguaSim: Interactive Multi-Vehicle Testing Scenario Generation via Natural Language Instruction Based on Large Language Models
Qingyuan Shi, Qingwen Meng, Hao Cheng, Qing Xu, Jianqiang Wang
https://arxiv.org/abs/2510.08046

LinguaSim: Interactive Multi-Vehicle Testing Scenario Generation via Natural Language Instruction Based on Large Language Models
The generation of testing and training scenarios for autonomous vehicles has drawn significant attention. While Large Language Models (LLMs) have enabled new scenario generation methods, current methods struggle to balance command adherence accuracy with the realism of real-world driving environments. To reduce scenario description complexity, these methods often compromise realism by limiting scenarios to 2D, or open-loop simulations where background vehicles follow predefined, non-interactive…

Bayesian Surrogates for Risk-Aware Pre-Assessment of Aging Bridge Portfolios
Sophia V. Kuhn, Rafael Bischof, Marius Weber, Antoine Binggeli, Michael A. Kraus, Walter Kaufmann, Fernando P\'erez-Cruz
https://arxiv.org/abs/2509.25031

Bayesian Surrogates for Risk-Aware Pre-Assessment of Aging Bridge Portfolios
Aging infrastructure portfolios pose a critical resource allocation challenge: deciding which structures require intervention and which can safely remain in service. Structural assessments must balance the trade-off between cheaper, conservative analysis methods and accurate but costly simulations that do not scale portfolio-wide. We propose Bayesian neural network (BNN) surrogates for rapid structural pre-assessment of worldwide common bridge types, such as reinforced concrete frame bridges. T…

With all the bad news in the world, there are things that give #hope. For example, the fact that #Germans and #Austrians can go to

Quantum Portfolio Optimization: An Extensive Benchmark
Eric Stopfer, Friedrich Wagner
https://arxiv.org/abs/2509.17876 https://arxiv.org/pdf/2509.17876

Quantum Portfolio Optimization: An Extensive Benchmark
Recently, several researchers proposed portfolio optimization as a potential use case for quantum optimization. However, the literature is lacking an extensive benchmark quantifying the potential of quantum computers for portfolio optimization. In this work, we fill this gap. We provide a computational study, comparing quantum approaches against state-of-the-art classical methods on a meaningful, real-world instance set. In particular, we compare quantum annealing and the quantum approximate op…

Who Let the Diamonds Out?
Vincent Halde, Olivier Bernard, Mathieu Brochu, Laurier Dufresne, Nicolas Fleury, Kayla Johnson, Benjamin Moffet, David Roy-Guay
https://arxiv.org/abs/2509.19179