Der Open-Source-Agent Goose verspricht Privatsphäre, Geschwindigkeit und eine gehörige Portion Freiheit für Entwickler. Was er kann – und was (noch) nicht. (Open Source, KI)
Quelle: Golem
Ein neuer Android-Launcher macht Smartphones und Tablets zu Windows XP – oder auch Windows 98, inklusive klassischen Microsoft-Apps. Ein Hands-on von Tobias Költzsch (Android, Windows)
Quelle: Golem
The command line is where developers live and breathe. A powerful and intuitive CLI can make the difference between a frustrating task and a joyful one. That’s why we’re excited to announce a major upgrade to the interactive chat experience in Docker Model Runner, our tool for running AI workloads locally.
We’ve rolled out a new, fully-featured interactive prompt for the “docker model run” command that brings a host of quality-of-life improvements, making it faster, easier, and more intuitive to chat with your local models. Let’s dive into what’s new.
A True Readline-Style Prompt with Keyboard Shortcuts
The most significant change is the move to a new readline-like implementation. If you spend any time in a modern terminal, you’ll feel right at home. This brings advanced keyboard support for navigating and editing your prompts right on the command line.
You can now use familiar keyboard shortcuts to work with your text more efficiently. Here are some of the new key bindings you can start using immediately:
Move to Start/End: Use “Ctrl + a” to jump to the beginning of the line and “Ctrl + e” to jump to the end.
Word-by-Word Navigation: Quickly move through your prompt using “Alt + b” to go back one word and “Alt + f” to go forward one word.
Efficient Deletions:
“Ctrl + k”: Delete everything from the cursor to the end of the line.
“Ctrl + u”: Delete everything from the cursor to the beginning of the line.
“Ctrl + w”: Delete the word immediately before the cursor.
Screen and Session Management:
“Ctrl + l”: Clear the terminal screen to reduce clutter.
“Ctrl + d”: Exit the chat session, just like the /bye command.
Take Back Control with “Ctrl + c”
We’ve all been there: you send a prompt to a model, and it starts generating a long, incorrect, or unwanted response. Previously, you had to wait for it to finish. Not anymore.
You can now press “Ctrl + c” at any time while the model is generating a response to immediately stop it. We’ve implemented this using context cancellation in our client, which sends a signal to halt the streaming response from the model. This gives you full control over the interaction, saving you time and frustration. This feature has also been added to the basic interactive mode for users who may not be in a standard terminal environment. “Ctrl + c” ends that interaction but does not exit. “Ctrl + d” exits “docker model run”.
Improved Multi-line and History Support
Working with multi-line prompts, like pasting in code snippets, is now much smoother. The prompt intelligently changes from > to a more subtle . to indicate that you’re in multi-line mode.
Furthermore, the new prompt includes command history. Simply use the Up and Down arrow keys to cycle through your previous prompts, making it easy to experiment, correct mistakes, or ask follow-up questions without retyping everything. For privacy or scripting purposes, you can disable history writing by setting the DOCKER_MODEL_NOHISTORY environment variable.
Get Started Today!
These improvements make “docker model run” a more powerful and pleasant tool for all your local AI experiments. Pull a model from Docker Hub and start a chat to experience the new prompt yourself:
$ docker model run ai/gemma3
> Tell me a joke about docker containers.
Why did the Docker container break up with the Linux host?
… Because it said, "I need some space!"
—
Would you like to hear another one?
Help Us Build the Future of Local AI
Docker Model Runner is an open-source project, and we’re building it for the community. These updates are a direct result of our effort to create the best possible experience for developers working with AI.
We invite you to get involved!
Star, fork, and contribute to the project on GitHub: https://github.com/docker/model-runner
Report issues and suggest new features you’d like to see.
Share your feedback with us and the community.
Your contributions help shape the future of local AI development and make powerful tools accessible to everyone. We can’t wait to see what you build!
Learn more
Check out the Docker Model Runner General Availability announcement
Visit our Model Runner GitHub repo! Docker Model Runner is open-source, and we welcome collaboration and contributions from the community!
Get started with Docker Model Runner with a simple hello GenAI application
Quelle: https://blog.docker.com/feed/
Starting today, Amazon EC2 High Memory U7i instances with 6TB of memory (u7i-6tb.112xlarge) are now available in the Europe (London) region. U7i-6tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-6tb instances offer 6TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-6tb instances offer 448 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server. To learn more about U7i instances, visit the High Memory instances page.
Quelle: aws.amazon.com
Amazon CloudWatch Database Insights expands the availability of its on-demand analysis experience to the RDS for SQL Server database engine. CloudWatch Database Insights is a monitoring and diagnostics solution that helps database administrators and developers optimize database performance by providing comprehensive visibility into database metrics, query analysis, and resource utilization patterns. This feature leverages machine learning models to help identify performance bottlenecks during the selected time period, and gives advice on what to do next. Previously, database administrators had to manually analyze performance data, correlate metrics, and investigate root cause. This process is time-consuming and requires deep database expertise. With this launch, you can now analyze database performance monitoring data for any time period with automated intelligence. The feature automatically compares your selected time period against normal baseline performance, identifies anomalies, and provides specific remediation advice. Through intuitive visualizations and clear explanations, you can quickly identify performance issues and receive step-by-step guidance for resolution. This automated analysis and recommendation system reduces mean-time-to-diagnosis from hours to minutes. You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your RDS for SQL Server databases using the RDS service console, AWS APIs, the AWS SDK, or AWS CloudFormation. Please refer to RDS documentation and Aurora documentation for information regarding the availability of Database Insights across different regions, engines and instance classes.
Quelle: aws.amazon.com
Amazon Connect can now automatically initiate follow-up evaluations to analyze specific situations identified during initial evaluations. For example, when an initial customer service evaluation detects customer interest in a product, Amazon Connect can automatically trigger a follow-up evaluation focused on the agent’s sales performance. This enables managers to maintain consistent evaluation standards across agent cohorts and over time, while capturing deeper insights on specific scenarios such as sales opportunities, escalations, and other critical interaction moments. This feature is available in all regions where Amazon Connect is offered. To learn more, please visit our documentation and our webpage.
Quelle: aws.amazon.com
Today, Amazon Simple Email Service (SES) added visibility into the IP addresses used by Dedicated IP Addresses – Managed (DIP-M) pools. Customers can now find out the exact addresses in use when sending emails through DIP-M pools to mailbox providers. Customers can also see Microsoft Smart Network Data Services (SNDS) metrics for these IP addresses, giving them more insight into their sending reputation with Microsoft mailbox providers. This gives customers more transparency into the IP activities in DIP-M pools. Previously, customers could configure DIP-M pools to perform automatic IP allocation and warm-up in response to changes in email sending volumes. This reduced the operational overhead of managing dedicated sending channels, but customers could not easily see which IP addresses were in use by DIP-M pools. This also made it difficult to find SNDS feedback, which customers use to improve their reputation. Now, customers can see the IPs in DIP-M pools through the console, CLI, or SES API. SES also automatically creates CloudWatch Metrics for SNDS information on each IP address, which customers can access through the CloudWatch console or APIs. This gives customers more tools to monitor their sending reputation. SES supports DIP-M IP observability in all AWS Regions where SES is available. For more information, see the documentation for information about DIP-M pools.
Quelle: aws.amazon.com
On October 21, 2025 Amazon announced quarterly security and critical updates for Amazon Corretto Long-Term Supported (LTS) versions of OpenJDK. Corretto 25.0.1, 21.0.9, 17.0.17, 11.0.29, 8u472 are now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK. This release of Corretto JDK binaries for Generic Linux, Alpine and macOS will include Async-Profiler, a low overhead sampling profiler for Java supported by the Amazon Corretto team. Async-Profiler is designed to provide profiling data for CPU time, allocations in Java Heap, native memory allocations and leaks, contended locks, hardware and software performance counters like cache misses, page faults, context switches, Java method profiling, and much more. Click on the Corretto home page to download Corretto 25, Corretto 21, Corretto 17, Corretto 11, or Corretto 8. You can also get the updates on your Linux system by configuring a Corretto Apt, Yum, or Apk repo. Feedback is welcomed!
Quelle: aws.amazon.com
Wichtige Dinge stets im Blick: Die beliebten Apple AirTags im 4er-Pack sind bei Amazon wieder auf dem niedrigsten Preisniveau angekommen. (Airtag, Apple)
Quelle: Golem
Baden-Württembergs Innenministerium räumt bei Delos ein: Der Cloudanbieter könne von der US-Regierung “angewiesen werden, einen Datenabfluss in seine Software zu integrieren”. (Raus aus der (US)-Cloud, SAP)
Quelle: Golem
