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Source channel @githubtrending · Post #14880 · Jun 28

#go#github_actions#kubernetes#operator Actions Runner Controller (ARC) is a tool that helps you automatically manage and scale self-hosted GitHub Actions runners using Kubernetes. It creates runner scale sets that grow or shrink based on how many workflows you are running, making your CI/CD process more efficient and cost-effective. ARC uses containers for runners, so new instances can start or stop quickly and cleanly. You can install ARC easily with Helm on Kubernetes and customize runners with features like custom images, volumes, and scripts. This automation saves you time and resources by matching runner capacity to your actual workload needs[1][2][3]. https://github.com/actions/actions-runner-controller

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AI & Law

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

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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

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