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Source channel @githubtrending · Post #15021 · Aug 1

#go#argocd#cloud_native#cncf#container_management#devops#ebpf#hacktoberfest#istio#jenkins#k8s#kubernetes#kubernetes_platform_solution#kubesphere#llm#multi_cluster#observability#servicemesh KubeSphere is an easy-to-use, open-source platform that helps you manage Kubernetes clusters across clouds, data centers, and edge devices from one place. It offers a friendly web interface, supports multi-cluster and multi-tenant management, and automates DevOps tasks like CI/CD pipelines. You get built-in monitoring, logging, alerting, and security features such as role-based access control. It also includes an App Store for quick deployment of applications and supports various storage and networking options. This makes managing complex Kubernetes environments simpler, faster, and more secure, saving you time and reducing operational challenges. https://github.com/kubesphere/kubesphere

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AI & Law

@ai_and_law · Post #469 · 12/20/2024, 08:04 AM

YouTube Empowers Creators: AI Training Opt-In YouTube is giving content creators more control over how their videos contribute to AI development. A new “Third-Party Training” setting allows creators to explicitly authorize specific AI companies—currently 18 major tech players like OpenAI and Microsoft — to use their content for training generative AI models. Importantly, a video can only be eligible if both the creator and applicable rights holders, including those identified via Content ID, provide consent. Unauthorized scraping and content access remain strictly prohibited under YouTube’s Terms of Service. This marks a pivotal step toward balancing AI innovation and creator autonomy, as YouTube explores further collaborations between creators and AI developers. #AIRegulation#ContentOwnership#YouTube#GenerativeAI#DigitalRights