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Fedora’s “AI” policy process highlights rift between IBM/Red Hat and Fedora
A lot of open source projects are struggling what to do with the “AI” bubble, and Fedora is no different. This whole past year, the project’s been struggling to formulate any official policies on the use of “AI”, and LWN.net’s Joe Brockmeier has just done an amazing job summarising the various positions, opinions, and people influencing this process. His conclusion: There appears to b … ⌘ Read more

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A blueprint for zero-trust AI on Kubernetes
LLMs and AI are everywhere these days. Everyone wants to build the next big thing, ship it fast, and maybe even cash out and chill for the rest of their lives. The problem? Most open source… ⌘ Read more

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How to Add MCP Servers to Claude Code with Docker MCP Toolkit
AI coding assistants have evolved from simple autocomplete tools into full development partners. Yet even the best of them, like Claude Code, can’t act directly on your environment. Claude Code can suggest a database query, but can’t run it. It can draft a GitHub issue, but can’t create it. It can write a Slack message,… ⌘ Read more

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It happened.

“Can you help me debug this program? I vibe coded it and I have no idea what’s going on. I had no choice – learning this new language and frameworks would have taken ages, and I have severe time constraints.”

Did I say “no”? Of course not, I’m a “nice guy”. So I’m at fault as well, because I endorsed this whole thing. The other guy is also guilty, because he didn’t communicate clearly to his boss what can be done and how much time it takes. And the boss and his bosses are guilty a lot, because they’re all pushing for “AI”.

The end result is garbage software.

This particular project is still relatively small, so it might be okay at the moment. But normalizing this will yield nothing but garbage. And actually, especially if this small project works out fine, this contributes to the shittiness because management will interpret this as “hey, AI works”, so they will keep asking for it in future projects.

How utterly frustrating. This is not what I want to do every day from now on.

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Cloud Native Computing Foundation Announces Knative’s Graduation
Graduation marks Knative’s readiness for widespread production use, with upcoming features aimed at bridging legacy systems and expanding AI and cloud native integrations Key Highlights: SAN FRANCISCO, Calif. – October 8, 2025 – The Cloud Native… ⌘ Read more

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Unlocking Local AI on Any GPU: Docker Model Runner Now with Vulkan Support
Running large language models (LLMs) on your local machine is one of the most exciting frontiers in AI development. At Docker, our goal is to make this process as simple and accessible as possible. That’s why we built Docker Model Runner, a tool to help you download and run LLMs with a single command. Until… ⌘ Read more

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AI advance helps astronomers spot cosmic events with just a handful of examples
A new study co-led by the University of Oxford and Google Cloud has shown how general-purpose AI can accurately classify real changes in the night sky—such as an exploding star, a black hole tearing apart a passing star, a fast-moving asteroid, or a brief stellar flare from a compact star system—and explain its reasoning, without the need for complex training. ⌘ Read more

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Arduino UNO Q Combines Qualcomm Dragonwing QRB2210 and STM32 MCU
Qualcomm Technologies has announced its plan to acquire Arduino, marking a major development in the embedded and maker ecosystems. The acquisition aims to combine Qualcomm’s edge computing and AI expertise with Arduino’s large developer community and open hardware approach. As part of the announcement, both companies introduced the Arduino UNO Q, a new dual-processor development […] ⌘ Read more

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How GitHub Copilot enabled accessibility governance process improvements in record time
See how we turned weekly accessibility grade signals into an automated, accountable remediation workflow—powered by GitHub Copilot and cross‑functional collaboration.

The post [How GitHub Copilot enabled accessibility governance process improvements in record time](https://github.blog/ai-and-ml/github-copilot/how-we-automated-accessibility-compliance-in-five-h … ⌘ Read more

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Powered by Docker: How Open Source Genius Cut Entropy Debt with Docker MCP Toolkit and Claude Desktop
This is part of the Powered by Docker series, where we feature use cases and success stories from Docker partners and practitioners. This story was contributed by Ryan Wanner. Ryan has more than fifteen years of experience as an entrepreneur and 3 years in AI space developing software and is the founder of Open Source… ⌘ Read more

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The case against generative AI: the numbers just don’t add up (i.e., it’s a scam)
Every single “vibe coding is the future,” “the power of AI,” and “AI job loss” story written perpetuates a myth that will only lead to more regular people getting hurt when the bubble bursts. Every article written about OpenAI or NVIDIA or Oracle that doesn’t explicitly state that the money doesn’t exist, that the revenues are impossible, that one of the companies involved bur … ⌘ Read more

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Docker at AI Engineer Paris: Build and Secure AI Agents with Docker
Last week, Docker was thrilled to be part of the inaugural AI Engineer Paris, a spectacular European debut that brought together an extraordinary lineup of speakers and companies. The conference, organized by the Koyeb team, made one thing clear: the days of simply sprinkling ‘AI dust’ on applications are over. Meaningful results demand rigorous engineering,… ⌘ Read more

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Radxa Announces Fogwise AIRbox Q900 for Industrial Edge AI
Radxa has announced the Fogwise AIRbox Q900, a rugged edge AI system powered by Qualcomm’s IQ-9075 processor. The compact unit delivers high-performance compute with industrial reliability, targeting real-time inference in manufacturing, robotics, smart cities, and research. The AIRbox Q900 is powered by the Qualcomm IQ-9075 SoC. It integrates an octa-core Kryo Gen 6 CPU based […] ⌘ Read more

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From Shell Scripts to Science Agents: How AI Agents Are Transforming Research Workflows
It’s 2 AM in a lab somewhere. A researcher has three terminals open, a half-written Jupyter notebook on one screen, an Excel sheet filled with sample IDs on another, and a half-eaten snack next to shell commands. They’re juggling scripts to run a protein folding model, parsing CSVs from the last experiment, searching for literature,… ⌘ Read more

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Spec-driven development: Using Markdown as a programming language when building with AI
I coded my latest app entirely in Markdown and let GitHub Copilot compile it into Go. This resulted in cleaner specs, faster iteration, and no more context loss. ✨

The post [Spec-driven development: Using Markdown as a programming language when building with AI](https://github.blog/ai-and-ml/generative-ai/spec-driven-development-using-markdown-as-a-p … ⌘ Read more

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Docker MCP Toolkit: MCP Servers That Just Work
Today, we want to highlight Docker MCP Toolkit, a free feature in Docker Desktop that gives you access to more than 200 MCP servers. It’s the easiest and most secure way to run MCP servers locally for your AI agents and workflows. The MCP toolkit allows you to isolate MCP servers in containers, securely configure… ⌘ Read more

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MSI EdgeXpert Compact AI Supercomputer Based on NVIDIA DGX Spark
The MSI EdgeXpert is a compact AI supercomputer based on the NVIDIA DGX Spark platform and Grace Blackwell architecture. It combines a 20-core Arm CPU with NVIDIA’s Blackwell GPU to deliver high compute density in a 1.19-liter form factor, targeting developers, researchers, and enterprises running local AI workloads, prototyping, and inference. The EdgeXpert achieves up […] ⌘ Read more

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The Trust Paradox: When Your AI Gets Catfished
The fundamental challenge with MCP-enabled attacks isn’t technical sophistication. It’s that hackers have figured out how to catfish your AI. These attacks work because they exploit the same trust relationships that make your development team actually functional. When your designers expect Figma files from agencies they’ve worked with for years, when your DevOps folks trust… ⌘ Read more

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Run, Test, and Evaluate Models and MCP Locally with Docker + Promptfoo
Promptfoo is an open-source CLI and library for evaluating LLM apps. Docker Model Runner makes it easy to manage, run, and deploy AI models using Docker. The Docker MCP Toolkit is a local gateway that lets you set up, manage, and run containerized MCP servers and connect them to AI agents.  Together, these tools let… ⌘ Read more

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MCP Horror Stories: The Drive-By Localhost Breach
This is Part 4 of our MCP Horror Stories series, where we examine real-world security incidents that expose the devastating vulnerabilities in AI infrastructure and demonstrate how Docker MCP Gateway provides enterprise-grade protection against sophisticated attack vectors. The Model Context Protocol (MCP) has transformed how developers integrate AI agents with their development environments. Tools like… ⌘ Read more

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Gartner positions GitHub as a Leader in the 2025 Magic Quadrant for AI Code Assistants for the second year in a row
Our commitment is to empower every developer and stay true to our north star by building an open, secure, and AI-powered platform that defines the future of software development.

The post [Gartner positions GitHub as a Leader in the 2025 Magic Quadrant for AI Code Assistants for the second yea … ⌘ Read more

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Framework Desktop -

AMD Ryzen™ AI Max 385 - 32GB
32GB LPDDR5x-8000 memory (soldered)

AMD Ryzen™ AI Max+ 395 - 64GB
64GB LPDDR5x-8000 memory (soldered)

AMD Ryzen™ AI Max+ 395 - 128GB
128GB LPDDR5x-8000 memory (soldered)

hehe

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Beyond Containers: llama.cpp Now Pulls GGUF Models Directly from Docker Hub
The world of local AI is moving at an incredible pace, and at the heart of this revolution is llama.cpp—the powerhouse C++ inference engine that brings Large Language Models (LLMs) to everyday hardware (and it’s also the inference engine that powers Docker Model Runner). Developers love llama.cpp for its performance and simplicity. And we at… ⌘ Read more

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Since Google announced their intentions to heavily limit sideloading on Android, starting end of 2026, I’ve been looking for potential solutions, for this policy change, that threatens the majority of projects I maintain, in some way. Google already killed my browser project years ago, but I have no other choice, than to fight this, any way I can.

The best choice to deal with this, will probably be the Android Debug Bridge, which can be used not only to install apps unrestricted, but also to uninstall, or remove, almost any unnecessary part of the OS. Shizuku, combined with Canta Debloater, is the winning combination for now.

I’ve already removed most Google apps from my device: the annoying AI assistant, the stupid Google app adding the annoying articles, left of your homes screen, Google One, Gboard, Safety app… it’s amazing, no distracting Google slopware, like in the good old Android 2 days! And I absolutely intend to keep it this way, from now on, no new Google apps or services on my devices, unless Google can give me a good enough reason, to allow them there and whenever the app that verifies signatures, to block installing apps not approved by Google, I’ll just remove it from my device and advocate others do so too.

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In-reply-to » Well, that was fascinating: https://www.youtube.com/watch?v=LxNq8zOEbM8

@movq@www.uninformativ.de Interesting, yes. I didn’t know that.

No AI being used is really great. However, the same clips shown over and over again and some images being mirrored was quite annoying to me. Also, there were some quite terrible computer animations and sometimes the narration and picture didn’t match at all. Talking about the medieval period and then showing an image from the 18th hundred or so. What the heck?

These production issues made me sceptical pretty much early on. So I quickly crosschecked Wikipedia. But it seems spot on from what I’ve read. Very good. Also, the narrator’s voice was really nice to listen to.

Eels are fascinating creatures. :-)

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Hmm, gnu.org is slow as heck. Shorter HTML pages load in about ten seconds. This complete AWK manual all in one large HTML page took a full minute: https://www.gnu.org/software/gawk/manual/gawk.html Is there maybe some anti AI shenanigans going on?

In any case, I find the user guide super interesting. My AWK skills are basically non-existent, so I finally decided to change that. This document is incredibly well written and makes it really fun to keep reading and learning. I’m very impressed. So far, I made it to section 1.6, happy to continue.

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In-reply-to » @movq Right now I'm basically just blocking entire ASN(s) at this point and large blocks of IP(s) from Anthropic, OPenAI, Microsoft and others.

@prologic@twtxt.net I’m doing that now as well, but I don’t think this is a good solution. This is going to hurt “self-hosting” in the long run: I cannot afford true self-hosting where I actually do host everything here at home – instead, I must use a cloud provider / VPS for that. It is only a matter of time until my provider starts doing AI shit as well (or rather, the customers do it) and then what? I get blocked, e.g. I can’t send email to (some) people anymore. This is already bad and it’s going to get worse.

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In-reply-to » The bots have begun to access my website way more often. I’m getting about 120k hits on https://www.uninformativ.de/git/ now in a couple of hours.

“But all your stuff is MIT licensed! They are allowed to do that!”

Haha. As if they would care. They crawl everything they get their hands on.

Besides, that’s not true, the license states that the copyright notice must be retained. “AI” breaks that. They incorporate my code and my articles in their product and make it appear as if it was their work.

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In-reply-to » The bots have begun to access my website way more often. I’m getting about 120k hits on https://www.uninformativ.de/git/ now in a couple of hours.

Why do I care about this?

  1. The load will become a problem at some point.
  2. These crawlers and the current “AI” in general are breaking the rules. I am supposed to be paying for every little thing, I get sued for “piracy”. But apparently, these rules only apply to me. If I had more money, I could break them. Fuck that.
  3. I simply don’t want it. Period.

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In-reply-to » We use all the Microsoft programs at work - Teams and Outlook especially.

@thecanine@twtxt.net We don’t use Microsoft at work – but similar products of other big companies. They’re all doing the same. The core product gets worse and worse, because they focus so much on vomiting “AI” over everything.

It will die down eventually. I hope.

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We use all the Microsoft programs at work - Teams and Outlook especially.

After all kinds of technical problems with Teams, that sometimes go unresolved for over a year, Microsoft shifted their priorities away from fixing things and towards adding an annoying AI Copilot button, that just takes up space and all it does, is loads the website in Teams, so I disabled it. Soon they just add it back, but in a different row of icons, therefore it’s now a different button, you have to disable (I think they added yet another one, to the Teams, on my work phone and I had to disabled that too). Not too long after, the desktop one just enabled itself, because of “an error” and I can disable it, but doing so activates a popup, that begs you to turn it back on, every once in a while. You can’t disable the popup and can only click “Yes” or “Not now” on it. I still keep it disabled, out of principle, but yesterday I noticed yet another Copilot button, this time in the top right corner of my Outlook and this one cannot be disabled, on the business version of Outlook and even on the personal one, it’s only possible to do it through hidden privacy settings, by prohibiting the program from connecting to Microsoft servers, for extra “features”.

There’s people complaining about it online, so it’s clear nobody really wants it, but at this point Microsofts position is that you will have at least one useless AI button on your screen, at any given time, and you will be happy. And yes, their AI sucks and if I absolutely have to use AI for something, there’s already 2 better options, we have access to, at work.

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Erlang Solutions: Healthcare Blog Round-Up
Healthcare is moving quickly, and technology is playing a big part in that shift. The way information is collected, the way patients are cared for, and the way hospitals run are all changing.

Over the past year, our team has written about some of the most important trends shaping the future of healthcare. In this round-up, we bring together three of those articles: remote patient monitoring, big data, and generative AI.

Maybe you have been following along, or … ⌘ Read more

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In-reply-to » Bloody AI clowns:

Another wave of tens of thousands of hints by the same bot on the same file:

There’s probably a simple explanation for this: Maybe this bot was written with “AI” and it’s simply complete garbage.

This isn’t a serious threat for my low-profile website – yet. Can’t wait for this to get worse …

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