US-Diplomaten dürfen die serifenlose Schriftart Calibri nicht mehr verwenden. Damit wird eine Entscheidung der Biden-Ära rückgängig gemacht. (Donald Trump, Barrierefreiheit)
Quelle: Golem
In Australien gilt seit heute ein Social-Media-Verbot für Kinder und Jugendliche unter 16. Auch die EU plant strengere Regeln. Bloß nicht! Ein IMHO von Oliver Jessner (Soziales Netz, IMHO)
Quelle: Golem
Die Ausschreibung von SpaceX könnte Mitte 2026 mit 30 Milliarden Dollar starten. Es wäre der größte Börsengang der Geschichte. (SpaceX, Börse)
Quelle: Golem
Today, the Linux Foundation launched the Agentic AI Foundation with three founding projects: Anthropic’s Model Context Protocol (MCP), Block’s goose agent framework, and OpenAI’s AGENTS.md standard.
The foundation brings together the companies building the infrastructure layer for agents: Anthropic, Block, OpenAI, Amazon, Google, Microsoft, Cloudflare, and Bloomberg, alongside key tooling and platform companies.
Docker is joining as a Gold member.
From Open Source to Production
The timing reflects how quickly the space has matured. A year ago, MCP launched as an open source project from Anthropic, solving a specific problem: how AI systems connect to tools and data. It’s now running on 10,000+ public servers and adopted across Claude, ChatGPT, Cursor, Copilot, VS Code, and Gemini.
Six months ago, companies started deploying agents that take real actions, triggering builds, accessing databases, modifying infrastructure, executing workflows. That shift from prototype to production created new questions around protocols and governance.
Today, foundational protocols that helped answer those questions, protocols like MCP, are moving to the Linux Foundation under the same governance structure that stewards Linux and PyTorch.
Why Neutral Governance Matters
When infrastructure becomes critical, developers won’t build on protocols that could change arbitrarily. And larger teams and enterprises want shared standards.
Over the past year we’ve partnered with Anthropic, Block, and other key players in the AI ecosystem to help create and embrace standards like MCP, Goose, and AGENTS.md. The Agentic AI Foundation creates a structure for the industry to unite behind these standards, building an ecosystem of interoperable tools that benefit developers.
Docker is excited to join as an active Gold member to drive innovation in developer-first, secure tools across our ecosystem.
What Happens Next
The protocols exist. Adoption is happening. The foundation ensures these protocols evolve transparently, with input from everyone building on them.
Docker helped build that structure for applications. Now we’re doing it for agents.
Learn more at aaif.io
Quelle: https://blog.docker.com/feed/
Amazon RDS and Aurora now support resource tagging for automated backups and cluster automated backups. You can now tag your automated backups separately from the parent DB instance or DB cluster, enabling Attribute-Based Access Control (ABAC) and simplifying resource management and cost tracking.
With this launch, you can tag automated backups in the same way as other RDS resources using the AWS Management Console, API, or SDK. Use these tags with IAM policies to control access and permissions to automated backups. Additionally, these tags can help you categorize your resources by application, project, department, environment, and more, as well as manage, organize, and track costs of your automated backups. For example, create application specific tags to control permissions for describing, deleting, or restoring automated backups and to organize and track backup costs of the application.
This capability is available in all AWS Regions, including the AWS GovCloud (US) Regions where Aurora and RDS are available.
To learn more about tagging Aurora and RDS automated backups, see the Amazon documentation on Tagging Amazon Aurora resources, Tagging Amazon RDS resources, and Using tags for attribute-based access control.
Quelle: aws.amazon.com
Today, AWS announces deal sizing capability in AWS Partner Central. This new feature, available within the APN Customer Engagements (ACE) Opportunities, uses AI to provide deal size estimates and AWS service recommendations. Deal Sizing capability allows Partners to save time on deal management by simplifying the process of estimating AWS monthly recurring revenue (MMR) when creating or updating opportunities. Partners can optionally import AWS Pricing Calculator URLs to automatically populate AWS service selections and corresponding spend estimates into their opportunities, reducing the need for manual re-entry. When a Pricing Calculator URL is provided, deal sizing delivers enhanced insights including pricing strategy optimization recommendations, potential cost savings analysis, Migration Acceleration Program (MAP) eligibility indicators, and modernization pathway analysis. These enhanced insights help Partners refine their technical approach and strengthen funding applications, accelerating the funding approval process. Deal sizing is now available in AWS Partner Central worldwide. The feature is accessible through both AWS Partner Central and the AWS Partner Central API for Selling, which is available in the US East (N. Virginia) Region. To get started, log in to AWS Partner Central in the console to create or update opportunities and view deal sizing insights. For API integration with your CRM system, see the AWS Partner Central API Documentation. To learn more about deal sizing, visit the Partner Central Sales Guide.
Quelle: aws.amazon.com
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8g instances are available in Europe (Stockholm) region. These instances are powered by AWS Graviton4 processors, and they offer up to 3 TiB of total memory and increased memory per vCPU compared to other Graviton4-based instances. X8g instances are ideal for memory-intensive workloads, such as electronic design automation (EDA) workloads, in-memory databases (Redis, Memcached), relational databases (MySQL, PostgreSQL), real-time big data analytics, real-time caching servers, and memory-intensive containerized applications.
X8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 3TiB) than Graviton2-based X2gd instances. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Elastic Fabric Adapter (EFA) networking support is offered on 24xlarge, 48xlarge, and bare metal sizes, and Elastic Network Adapter (ENA) Express support is available on instance sizes larger than 12xlarge.
X8g instances are currently available in the following AWS Regions: US East (N. Virginia, Ohio), US West (Oregon), and Europe (Frankfurt, Stockholm).
To learn more, see Amazon EC2 X8g Instances. To quickly migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program. To get started, see the AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.
Quelle: aws.amazon.com
Reddit-Moderatoren haben immer größere Probleme damit, KI-generierte Inhalte zu erkennen. Ein Grund sind von Menschen adaptierte Sprachmuster. (Reddit, KI)
Quelle: Golem
Der Oura Gen3 Horizon Smart-Ring liefert präzises Schlaf-, Stress- und Gesundheitstracking im unauffälligen Titan-Design. (Tracking, Android)
Quelle: Golem
Das neue Angebot für digitale Zulassungen kommt bei den Autofahrern gut an. Weitere sollen im Jahr 2026 folgen. (Auto, QR-Code)
Quelle: Golem
