Wow. Sam Altman did something fantastic. He motivated me. I’m using my AI workstation to work on Linux and experiment with AI! Last winter I bought a new machine to edit my photos and learn AI on Linux. I’m still doing the photo editing part, but not the AI part. I wanted to keep going, but with my new work responsibilities I was too tired to spend energy on Learning. However, the statement about RAM by Sam Altman turned out to be a good motivation.

Last Sunday I spent my day at the third Audio Expo in Budapest. Yet again it was fantastic. And yet again, my favorite audio experience was in the NCS Audio room, even if I listened to lot more expensive systems. TL;DR: Made in Hungary audio rivals the rest of the world in quality, while often being available at a much more affordable price. My favorite of the show was the NCS Audio / Qualiton / Pixel cables room, all made in Hungary.

Today, the syslog-ng team released three different syslog-ng versions, which provided a good opportunity to wear my “Release is coming” t-shirt. This coordinated release is due to an SQL injection security bug fix, even if most likely it affects less than a handful of people (I mean, is there anyone who still uses SQL to store logs in 2026…?) Release is coming What’s new? syslog-ng OSE 4.12.0 arrives with performance optimizations, making syslog-ng more scalable in several situations.

This Monday I talked to a couple of friends about work while wearing my Genesi t-shirt. A teacher going back to school after Spring break and an IT guy explaining the nightmare of RTO threat. I love coincidences :-) Why do I say that? Genesi t-shirt As I wrote a few years ago about working from home: “After graduating from university, I worked from home for a small US-based company. I never met my boss while working there and met only one of my colleagues at a conference in Brussels.

Almost 15 years ago, Balabit had a campaign, stating that syslog-ng could process 650k messages a second. Now I am happy to present 7 million EPS (events per second). Timing the announcement to April 1 is not a coincidence :-) While the 650k EPS measurement was true, it was misleading. This value was measured right after syslog-ng 3.2 introduced multi-threading, in lab environment, under optimal circumstances, using synthetic log messages. However, there was no fine print explaining this, just the statement that syslog-ng could process 650k EPS.

My AI mini workstation from HP has seen some non-AI workloads this weekend. I installed Capture One for photo editing and a couple of software synthesizers. And realized along the way that while built-in speakers are nice, high-end audio is a lot better! :-) For months, I have been listening to music on devices that are designed for speech: a pair of Jabra headphones and the speakers of my various laptops.

Once I got hardware-accelerated AI working under Linux on my AI mini workstation from HP, my next goal was to make it easier to use. From this blog, you can read about my initial experiments with Open WebUI on Fedora Linux. Open WebUI talking about central log collection :-) Everything in containers As Open WebUI is not yet available as a package in Fedora, my initial approach was to use containers.

Ever since I bought my AI mini workstation from HP, my goal was to run hardware accelerated artificial intelligence workloads in a Linux environment. Read more to learn how things turned out on Ubuntu and Fedora! I have been using various AI tools for a while now. Generating pictures about some impossible situations, like a dinosaur climbing the Hungarian parliament building, finding information where a simple web search is useless, or explaining syslog-ng code to me.

Last week, I wrote about my initial FreeBSD experiences on my new toy, an AI workstation from HP. FreeBSD runs lightning fast on it, but the desktop was somewhat problematic. Well, I made lots of improvements this week! A bit of debugging While there are still some rough edges, there have been tons of improvements since last week. I do not have plans to use FreeBSD on the desktop in the long term, but still, I just could not believe that the FreeBSD GUI is this problematic on this device.

In the past few weeks, I installed five different operating systems on my latest toy: an AI workstation from HP. I love playing with OSes, but my main goal with the new machine is to learn various aspects of AI. I took my first steps in this adventure on Windows. Of course, you might ask: why on Windows? Well, it’s easy: because it’s easy… :-) There is nothing to install or configure there, as Windows has multiple built-in apps that support AI and can utilize the NPU (hardware-accelerated AI) support of the AMD Ryzen 395 chip.