Tootfinder

Hands-on with Nvidia's DGX Spark: trades some performance and bandwidth for 128GB of unified memory, Nvidia's software ecosystem is valuable, and more (Tobias Mann/The Register)
https://www.theregister.com/2025/10/14/dgx_spark_review/

DGX Spark, Nvidia’s tiniest supercomputer, tackles large models at solid speeds
hands on: This relatively affordable AI workstation isn’t about going fast; it’s about doing everything well enough

Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms
Shalaleh Rismani, Renee Shelby, Leah Davis, Negar Rostamzadeh, AJung Moon
https://arxiv.org/abs/2510.10339

Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms
Over the past decade, an ecosystem of measures has emerged to evaluate the social and ethical implications of AI systems, largely shaped by high-level ethics principles. These measures are developed and used in fragmented ways, without adequate attention to how they are situated in AI systems. In this paper, we examine how existing measures used in the computing literature map to AI system components, attributes, hazards, and harms. Our analysis draws on a scoping review resulting in nearly 800…

Since we started using `cargo vet` in #ArielOS, I'm happy to see that some of the crates that we previously on our list of "yes we should review them but don't have the resources now" are vanishing from there because other parties we trust have actually reviewed them.
The ecosystem is growing! ❤️

🚀 Multiple Execution Profiles: Configure different models (GPT-5, O3) with varying approval policies and sandbox modes for different agent roles
📊 Rich Agent Ecosystem: Ships with starter personas for code review, debugging, security auditing, performance analysis, documentation, and accessibility
🔄 Zero Fluff Philosophy: Single delegate tool with minimal attack surface, avoiding complex orchestrators while maintaining simplicity through

Beyond Community Notes: A Framework for Understanding and Building Crowdsourced Context Systems
Travis Lloyd, Tung Nguyen, Karen Levy, Mor Naaman
https://arxiv.org/abs/2509.15434

Beyond Community Notes: A Framework for Understanding and Building Crowdsourced Context Systems
Social media platforms are increasingly developing features that display crowdsourced context alongside posts, modeled after X's Community Notes. These systems, which we term Crowdsourced Context Systems (CCS), have the potential to reshape our information ecosystem as major platforms embrace them as alternatives to top-down fact-checking. To deeply understand the features and implications of such systems, we perform a systematic literature review of existing CCS research and analyze several re…