TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

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

Results

1 similar post found

Search: #contentlabelling

当前筛选 #contentlabelling清除筛选
AI & Law

@ai_and_law · Post #782 · 03/11/2026, 07:04 AM

🇪🇺European Commission Releases Second Draft of AI Content Labelling Code The European Commission has published the second draft of a voluntary Code of Practice intended to help providers and deployers comply with transparency obligations under Article 50 of the AI Act. The article requires marking and labelling of AI-generated content. The updated draft reflects feedback collected in January 2026 from hundreds of stakeholders across industry, academia, and civil society, as well as input from EU Member States and representatives of the European Parliament. The revised code is designed to reduce compliance burden while promoting open standards and the use of a common EU icon for AI-generated content. It is structured in two sections: the first addresses marking and detection obligations for generative AI system providers, introducing greater flexibility and clearer guidance; the second focuses on deployers, covering labelling of deepfakes and AI-generated text related to matters of public interest with a more practice-oriented approach. Public feedback on the draft is open until 30 March 2026. The final version of the code is expected by early June 2026, while the transparency obligations under Article 50 of the AI Act will become applicable on 2 August 2026. #AIAct#AIRegulation#AIGovernance#Transparency#Deepfakes#ContentLabelling#EUlaw