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Source channel @githubtrending · Post #14784 · Jun 4

#vue#awesome#dashboard#docker#hacktoberfest#homelab#homepage#mit#nodejs#organization#productivity#pwa#self_hosted#startpage#vue Dashy is a free, open-source dashboard that lets you organize and access all your self-hosted services, apps, and web links from one central place, making it easy to manage and monitor everything you use regularly[1][2][4]. It comes with over 50 pre-built widgets for things like system monitoring, news, weather, and productivity, and you can customize the look and layout with themes, icons, and different views[4][5]. The main benefit is that Dashy saves you time and hassle by giving you a single, user-friendly page to launch and check on all your important services, with features like instant search, status indicators, and multi-language support[4][5]. https://github.com/Lissy93/dashy

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AI & Law

@ai_and_law · Post #341 · 06/28/2024, 07:04 AM

Implementing Transparency in AI: A Step Forward Zuzanna Warso and Paul Keller from Open Future, alongside Maximilian Gahntz from Mozilla, have published a proposal to implement the EU AI Act’s training data transparency requirement for general-purpose AI (GPAI). Article 53 1(d) of the Act mandates GPAI model providers to publish detailed summaries of their training content, covering data sources and sets with narrative explanations. The proposed template emphasizes a comprehensive scope and sufficient technical detail to benefit both experts and laypeople. These summaries should list primary data collections, provide narrative explanations of other data sources, and clearly distinguish between 'data sources' (origins) and 'datasets' (processed data points). This transparency requirement aims to enhance accountability, enable research and scrutiny, and strengthen individuals' and organizations' ability to exercise their rights in the AI development process. #AI#Transparency#AIAct#DataGovernance#OpenFuture#Mozilla