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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 #130 · 10/04/2023, 07:04 AM

Google Empowers Web Publishers with Data Control Hello, everyone! Google has introduced a new tool called Google-Extended, allowing website publishers to opt out of using their data to train Google's AI models, all while maintaining accessibility through Google Search. This tool provides a solution for publishers who wish to have their sites indexed by Google's web crawlers but prefer not to contribute their data to the development of AI models like Bard and Vertex AI generative APIs. Bard, Google's AI chatbot, has been undergoing training using publicly available web data. With Google-Extended, publishers can now manage their site's participation in this process. Google-Extended is integrated into the robots.txt file, which is used to inform web crawlers about site accessibility. It grants web publishers the ability to control AI model training access and content availability. #AIandLaw#GoogleAI#WebPublishers#AIModels