Tootfinder

#Manchester's filthy air.
A long way to go.
"All in all, the measures will get Greater Manchester’s air to 40.3 micrograms of nitrogen dioxide in one cubic metre of air.
"The UK legal limit is officially 40, but results under 40.4 are rounded down, making TfGM’s plan compliant.
"But the World Health Organisation’s recommended limit is just 10."
…

Clean air zone signs are down, but our pollution 'is like smoking 150 cigarettes a year'. Now what?
The charging clean air zone was cancelled after a spectacular U-turn in 2022 - and led to more arguments and thousands of stickers being slapped on signs. Now there's a new plan, Ethan Davies examines what it involves - and why it's only a start

MalCodeAI: Autonomous Vulnerability Detection and Remediation via Language Agnostic Code Reasoning
Jugal Gajjar, Kamalasankari Subramaniakuppusamy, Noha El Kachach
https://arxiv.org/abs/2507.10898

MalCodeAI: Autonomous Vulnerability Detection and Remediation via Language Agnostic Code Reasoning
The growing complexity of cyber threats and the limitations of traditional vulnerability detection tools necessitate novel approaches for securing software systems. We introduce MalCodeAI, a language-agnostic, multi-stage AI pipeline for autonomous code security analysis and remediation. MalCodeAI combines code decomposition and semantic reasoning using fine-tuned Qwen2.5-Coder-3B-Instruct models, optimized through Low-Rank Adaptation (LoRA) within the MLX framework, and delivers scalable, accu…

GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?
Yifang Tian, Yaming Liu, Zichun Chong, Zihang Huang, Hans-Arno Jacobsen
https://arxiv.org/abs/2508.12472

GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?
Root cause analysis (RCA) in microservice systems is challenging, requiring on-call engineers to rapidly diagnose failures across heterogeneous telemetry such as metrics, logs, and traces. Traditional RCA methods often focus on single modalities or merely rank suspect services, falling short of providing actionable diagnostic insights with remediation guidance. This paper introduces GALA, a novel multi-modal framework that combines statistical causal inference with LLM-driven iterative reasonin…