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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 #74 · 08/03/2023, 07:04 AM

Advancing Responsible AI: Insights from the American Chamber of Commerce Hello, AI community! Today, we bring you valuable insights from the American Chamber of Commerce to the European Union's position paper for the AI Act trilogue negotiations. Let's look into the facts and recommendationstons. 🔹 Defining AI: The Chamber encourages EU decision-makers to align the definition of AI with the OECD's definition. A clear and internationally accepted AI definition fosters multilateral coordination in AI policy. 🔹 Streamlining High-Risk Designation: The paper suggests narrowing the scope of high-risk designation to avoid vagueness. This focused approach ensures that AI technologies with genuine high-risk factors receive appropriate attention while minimizing unnecessary burdens on other AI systems. 🔹 Outcome-Oriented Flexibility: Chapter III requirements largely match current responsible AI practices. However, the Chamber emphasizes the importance of remaining flexible and outcome-oriented. 🔹 Obligations for Foundation Models and General Purpose AI: The paper calls for obligations tailored to foundation models and general-purpose AI. 🔹 Transparency in Artificially Generated Content: Transparency is key when it comes to artificially generated content. The Chamber advocates for measures that promote understanding and disclosure of AI-generated content to safeguard users from potential misinformation and manipulation. 🔹 Harmonized Enforcement and Flexible Standards: To create a robust AI landscape, harmonized enforcement and clear yet flexible standards are necessary. #ResponsibleAI#AIRegulation#AIAct#AITrilogue#TechPolicy#AICommunity#GlobalAI#AIStandards