Search Results: "tar"

5 March 2026

Vincent Bernat: Automatic Prometheus metrics discovery with Docker labels

Akvorado, a network flow collector, relies on Traefik, a reverse HTTP proxy, to expose HTTP endpoints for its Docker Compose services. Docker labels attached to each service define the routing rules. Traefik picks them up automatically when a container starts. Instead of maintaining a static configuration file to collect Prometheus metrics, we apply the same approach with Grafana Alloy.

Traefik & Docker Traefik listens for events on the Docker socket. Each service advertises its configuration through labels. For example, here is the Loki service in Akvorado:
services:
  loki:
    #  
    expose:
      - 3100/tcp
    labels:
      - traefik.enable=true
      - traefik.http.routers.loki.rule=PathPrefix( /loki )
Once the container is healthy, Traefik creates a router forwarding requests matching /loki to its first exposed port. Colocating Traefik configuration with the service definition is attractive. How do we achieve the same for Prometheus metrics?

Metrics discovery with Alloy Grafana Alloy, a metrics collector that scrapes Prometheus endpoints, includes a discovery.docker component. Just like Traefik, it connects to the Docker socket.1 With a few relabeling rules, we teach it to use Docker labels to locate and scrape metrics. We define three labels on each service:
  • metrics.enable set to true enables metrics collection,
  • metrics.port specifies the port exposing the Prometheus endpoint, and
  • metrics.path specifies the path to the metrics endpoint.
If a service exposes more than one port, metrics.port is mandatory. Otherwise, it defaults to the only exposed port. The default value for metrics.path is /metrics. The Loki service from earlier becomes:
services:
  loki:
    #  
    expose:
      - 3100/tcp
    labels:
      - traefik.enable=true
      - traefik.http.routers.loki.rule=PathPrefix( /loki )
      - metrics.enable=true
      - metrics.path=/loki/metrics
Alloy s configuration is split into four parts:
  1. discover containers through the Docker socket,
  2. filter and relabel targets using Docker labels,
  3. scrape the matching endpoints, and
  4. forward the metrics to Prometheus.

Discovering Docker containers The first building block discovers running containers:
discovery.docker "docker"  
  host             = "unix:///var/run/docker.sock"
  refresh_interval = "30s"
  filter  
    name   = "label"
    values = ["com.docker.compose.project=akvorado"]
   
 
This connects to the Docker socket and lists containers every 30 seconds.2 The filter block restricts discovery to containers belonging to the akvorado project, avoiding interference with unrelated containers on the same host. For each discovered container, Alloy produces a target with labels such as __meta_docker_container_label_metrics_port for the metrics.port Docker label.

Relabeling targets The relabeling step filters and transforms raw targets from Docker discovery into scrape targets. The first stage keeps only targets with metrics.enable set to true:
discovery.relabel "prometheus"  
  targets = discovery.docker.docker.targets
  // Keep only targets with metrics.enable=true
  rule  
    source_labels = ["__meta_docker_container_label_metrics_enable"]
    regex         =  true 
    action        = "keep"
   
  //  
 
The second stage overrides the discovered port when the service defines metrics.port:
// When metrics.port is set, override __address__.
rule  
  source_labels = ["__address__", "__meta_docker_container_label_metrics_port"]
  regex         =  (.+):\d+;(.+) 
  target_label  = "__address__"
  replacement   = "$1:$2"
 
Next, we handle containers in host network mode. When __meta_docker_network_name equals host, Alloy rewrites the address to host.docker.internal instead of localhost:3
// When host networking, override __address__ to host.docker.internal.
rule  
  source_labels = ["__meta_docker_container_label_metrics_port", "__meta_docker_network_name"]
  regex         =  (.+);host 
  target_label  = "__address__"
  replacement   = "host.docker.internal:$1"
 
The next stage derives the job name from the service name, stripping any numbered suffix. The instance label is the address without the port:
rule  
  source_labels = ["__meta_docker_container_label_com_docker_compose_service"]
  regex         =  (.+)(?:-\d+)? 
  target_label  = "job"
 
rule  
  source_labels = ["__address__"]
  regex         =  (.+):\d+ 
  target_label  = "instance"
 
If a container defines metrics.path, Alloy uses it. Otherwise, it defaults to /metrics:
rule  
  source_labels = ["__meta_docker_container_label_metrics_path"]
  regex         =  (.+) 
  target_label  = "__metrics_path__"
 
rule  
  source_labels = ["__metrics_path__"]
  regex         = ""
  target_label  = "__metrics_path__"
  replacement   = "/metrics"
 

Scraping and forwarding With the targets properly relabeled, scraping and forwarding are straightforward:
prometheus.scrape "docker"  
  targets         = discovery.relabel.prometheus.output
  forward_to      = [prometheus.remote_write.default.receiver]
  scrape_interval = "30s"
 
prometheus.remote_write "default"  
  endpoint  
    url = "http://prometheus:9090/api/v1/write"
   
 
prometheus.scrape periodically fetches metrics from the discovered targets. prometheus.remote_write sends them to Prometheus.

Built-in exporters Some services do not expose a Prometheus endpoint. Redis and Kafka are common examples. Alloy ships built-in Prometheus exporters that query these services and expose metrics on their behalf.
prometheus.exporter.redis "docker"  
  redis_addr = "redis:6379"
 
discovery.relabel "redis"  
  targets = prometheus.exporter.redis.docker.targets
  rule  
    target_label = "job"
    replacement  = "redis"
   
 
prometheus.scrape "redis"  
  targets         = discovery.relabel.redis.output
  forward_to      = [prometheus.remote_write.default.receiver]
  scrape_interval = "30s"
 
The same pattern applies to Kafka:
prometheus.exporter.kafka "docker"  
  kafka_uris = ["kafka:9092"]
 
discovery.relabel "kafka"  
  targets = prometheus.exporter.kafka.docker.targets
  rule  
    target_label = "job"
    replacement  = "kafka"
   
 
prometheus.scrape "kafka"  
  targets         = discovery.relabel.kafka.output
  forward_to      = [prometheus.remote_write.default.receiver]
  scrape_interval = "30s"
 
Each exporter is a separate component with its own relabeling and scrape configuration. We set the job label explicitly since no Docker metadata can provide it.
With this setup, adding metrics to a new service with a Prometheus endpoint requires only a few labels in docker-compose.yml, just like adding a Traefik route. Alloy picks it up automatically. You can apply the same pattern with another discovery method, like discovery.kubernetes, discovery.scaleway, or discovery.http.

  1. Both Traefik and Alloy require access to the Docker socket, which grants root-level access to the host. A Docker socket proxy mitigates this by exposing only the read-only API endpoints needed for discovery.
  2. Unlike Traefik, which watches for events, Grafana Alloy polls the container list at regular intervals a behavior inherited from Prometheus.
  3. The Alloy service needs extra_hosts: ["host.docker.internal:host-gateway"] in its definition.

4 March 2026

Sean Whitton: Southern Biscuits with British ingredients

I miss the US more and more, and have recently been trying to perfect Southern Biscuits using British ingredients. It took me eight or nine tries before I was consistently getting good results. Here is my recipe. Ingredients Method
  1. Slice and then chill the butter in the freezer for at least fifteen minutes.
  2. Preheat oven to 220 C with the fan turned off.
  3. Twice sieve together the flours, leaveners and salt. Some salt may not go through the sieve; just tip it back into the bowl.
  4. Cut cold butter slices into the flour with a pastry blender until the mixture resembles coarse crumbs: some small lumps of fat remaining is desirable. In particular, the fine crumbs you are looking for when making British scones are not wanted here. Rubbing in with fingertips just won t do; biscuits demand keeping things cold even more than shortcrust pastry does.
  5. Make a well in the centre, pour in the buttermilk, and stir with a metal spoon until the dough comes together and pulls away from the sides of the bowl. Avoid overmixing, but I ve found that so long as the ingredients are cold, you don t have to be too gentle at this stage and can make sure all the crumbs are mixed in.
  6. Flour your hands, turn dough onto a floured work surface, and pat together into a rectangle. Some suggest dusting the top of the dough with flour, too, here.
  7. Fold the dough in half, then gather any crumbs and pat it back into the same shape. Turn ninety degrees and do the same again, until you have completed a total of eight folds, two in each cardinal direction. The dough should now be a little springy.
  8. Roll to about inch thick.
  9. Cut out biscuits. If using a round cutter, do not twist it, as that seals the edges of the biscuits and so spoils the layering.
  10. Transfer to a baking sheet, placed close together (helps them rise). Flour your thumb and use it to press an indent into the top of each biscuit (helps them rise straight), brush with buttermilk.
  11. Bake until flaky and golden brown: about fifteen minutes.
Gravy It turns out that the pepper gravy that one commonly has with biscuits is just a white/b chamel sauce made with lots of black pepper. I haven t got a recipe I really like for this yet. Better is a sausage gravy ; again this has a white sauce as its base, I believe. I have a vegetarian recipe for this to try at some point. Variations Notes

Sean Whitton: dgit-as-a-service retrospective

We recently launched tag2upload, aka cloud dgit or dgit-as-a-service. This was something of a culmination of work I ve been doing since 2016 towards modernising Debian workflows, so I thought I d write a short personal retrospective. When I started contributing to Debian in 2015, I was not impressed with how packages were represented in Git by most package maintainers, and wanted a pure Git workflow. I read a couple of Joey Hess s blog posts on the matter, a rope ladder to the dgit treehouse and upstream git repositories and made a bug report against dgit hoping to tie some things together. The results of that early work were the git-deborig(1) program and the dgit-maint-merge(7) tutorial manpage. Starting with Joey s workflow pointers, I developed a complete, pure Git workflow that I thought would be suitable for all package maintainers in Debian. It was certainly well-suited for my own packages. It took me a while to learn that there are packages for which this workflow is too simple. We now also have the dgit-maint-debrebase(7) workflow which uses git-debrebase, something which wasn t invented until several years later. Where dgit-maint-merge(7) won t do, you can use dgit-maint-debrebase(7), and still be doing pretty much pure Git. Here s a full, recent guide to modernisation. The next most significant contribution of my own was the push-source subcommand for dgit. dgit push required a preexisting .changes file produced from the working tree. I wanted to make dgit push-source prepare that .changes file for you, but also not use the working tree, instead consulting HEAD. The idea was that you were doing a git push which doesn t care about the working tree direct to the Debian archive, or as close as we could get. I implemented that at DebConf18 in Taiwan, I think, with Ian, and we also did a talk on git-debrebase. We ended up having to change it to look at the working tree in addition to HEAD to make it work as well as possible, but I think that the idea of a command which was like doing a Git push direct to the archive was perhaps foundational for us later wanting to develop tag2upload. Indeed, while tag2upload s client-side tool git-debpush does look at the working tree, it doesn t do so in a way that is essential to its operation. tag2upload is dgit push-source-as-a-service. And finally we come to tag2upload, a system Ian and I designed in 2019 during a two-person sprint at his place in Cambridge, while I was visiting the UK from Arizona. With tag2upload, appropriately authorised Debian package maintainers can upload to Debian with only pure Git operations namely, making and pushing a signed Git tag to Debian s GitLab instance. Although we had a solid prototype in 2019, we only finally launched it last month, February 2026. This was mostly due to political delays, but also because we have put in a lot of hours making it better in various ways. Looking back, one thing that seems notable to me is that the core elements of the pure Git workflows haven t changed much at all. Working out all the details of dgit-maint-merge(7), designing and writing git-debrebase (Ian s work), and then working out all the details of dgit-maint-debrebase(7), are the important parts, to me. The rest is mostly just large amounts of compatibility code. git-debrebase and dgit-maint-debrebase(7) are very novel but dgit-maint-merge(7) is mostly just an extrapolation of Joey s thoughts from 13 years ago. And yet, adoption of these workflows remains low. People prefer to use what they are used to using, even if the workflows have significant inconveniences. That s completely understandable; I m really interested in good workflows, but most other contributors care less about it. But you would expect enough newcomers to have arrived in 13 years that the new workflows would have a higher uptake. That is, packages maintained by contributors that got involved after these workflows became available would be maintained using newer workflows, at least. But the inertia seems to be too strong even for that. Instead, new contributors used to working purely out of Git are told they need to learn Debian s strange ways of representing things, tarballs and all. It doesn t have to be that way. We hope that tag2upload will make the pure Git workflows seem more appealing to people.

Jonathan Dowland: More lava lamps

photograph of a Mathmos Telstar rocket lava lamp with orange wax and purple water
Mathmos had a sale on spare Lava lamp bottles around Christmas, so I bought a couple of new-to-me colour combinations.
photograph of a Mathmos Telstar rocket lava lamp with blue wax in purple water
photograph of a Mathmos Telstar rocket lava lamp with pink wax in clear water
The lamp I have came with orange wax in purple liquid, which gives a strong red glow in a dark room. I bought blue wax in purple liquid, which I think looks fantastic and works really nicely with my Rob Sheridan print. The other one I bought was pink in clear, which is nice, but I think the coloured liquids add a lot to the tone of lighting in a room. Recently, UK vid-blogger Techmoan did some really nice videos about Mathmos lava lamps: Best Lava Lamp? and LAVA LAMPS Giant, Mini & Neo.

3 March 2026

Matthew Garrett: To update blobs or not to update blobs

A lot of hardware runs non-free software. Sometimes that non-free software is in ROM. Sometimes it s in flash. Sometimes it s not stored on the device at all, it s pushed into it at runtime by another piece of hardware or by the operating system. We typically refer to this software as firmware to differentiate it from the software run on the CPU after the OS has started1, but a lot of it (and, these days, probably most of it) is software written in C or some other systems programming language and targeting Arm or RISC-V or maybe MIPS and even sometimes x862. There s no real distinction between it and any other bit of software you run, except it s generally not run within the context of the OS3. Anyway. It s code. I m going to simplify things here and stop using the words software or firmware and just say code instead, because that way we don t need to worry about semantics. A fundamental problem for free software enthusiasts is that almost all of the code we re talking about here is non-free. In some cases, it s cryptographically signed in a way that makes it difficult or impossible to replace it with free code. In some cases it s even encrypted, such that even examining the code is impossible. But because it s code, sometimes the vendor responsible for it will provide updates, and now you get to choose whether or not to apply those updates. I m now going to present some things to consider. These are not in any particular order and are not intended to form any sort of argument in themselves, but are representative of the opinions you will get from various people and I would like you to read these, think about them, and come to your own set of opinions before I tell you what my opinion is. THINGS TO CONSIDER Ok we re done with the things to consider. Please spend a few seconds thinking about what the tradeoffs are here and what your feelings are. Proceed when ready. I trust my CPU vendor. I don t trust my CPU vendor because I want to, I trust my CPU vendor because I have no choice. I don t think it s likely that my CPU vendor has designed a CPU that identifies when I m generating cryptographic keys and biases the RNG output so my keys are significantly weaker than they look, but it s not literally impossible. I generate keys on it anyway, because what choice do I have? At some point I will buy a new laptop because Electron will no longer fit in 32GB of RAM and I will have to make the same affirmation of trust, because the alternative is that I just don t have a computer. And in any case, I will be communicating with other people who generated their keys on CPUs I have no control over, and I will also be relying on them to be trustworthy. If I refuse to trust my CPU then I don t get to computer, and if I don t get to computer then I will be sad. I suspect I m not alone here. Why would I install a code update on my CPU when my CPU s job is to run my code in the first place? Because it turns out that CPUs are complicated and messy and they have their own bugs, and those bugs may be functional (for example, some performance counter functionality was broken on Sandybridge at release, and was then fixed with a microcode blob update) and if you update it your hardware works better. Or it might be that you re running a CPU with speculative execution bugs and there s a microcode update that provides a mitigation for that even if your CPU is slower when you enable it, but at least now you can run virtual machines without code in those virtual machines being able to reach outside the hypervisor boundary and extract secrets from other contexts. When it s put that way, why would I not install the update? And the straightforward answer is that theoretically it could include new code that doesn t act in my interests, either deliberately or not. And, yes, this is theoretically possible. Of course, if you don t trust your CPU vendor, why are you buying CPUs from them, but well maybe they ve been corrupted (in which case don t buy any new CPUs from them either) or maybe they ve just introduced a new vulnerability by accident, and also you re in a position to determine whether the alleged security improvements matter to you at all. Do you care about speculative execution attacks if all software running on your system is trustworthy? Probably not! Do you need to update a blob that fixes something you don t care about and which might introduce some sort of vulnerability? Seems like no! But there s a difference between a recommendation for a fully informed device owner who has a full understanding of threats, and a recommendation for an average user who just wants their computer to work and to not be ransomwared. A code update on a wifi card may introduce a backdoor, or it may fix the ability for someone to compromise your machine with a hostile access point. Most people are just not going to be in a position to figure out which is more likely, and there s no single answer that s correct for everyone. What we do know is that where vulnerabilities in this sort of code have been discovered, updates have tended to fix them - but nobody has flagged such an update as a real-world vector for system compromise. My personal opinion? You should make your own mind up, but also you shouldn t impose that choice on others, because your threat model is not necessarily their threat model. Code updates are a reasonable default, but they shouldn t be unilaterally imposed, and nor should they be blocked outright. And the best way to shift the balance of power away from vendors who insist on distributing non-free blobs is to demonstrate the benefits gained from them being free - a vendor who ships free code on their system enables their customers to improve their code and enable new functionality and make their hardware more attractive. It s impossible to say with absolute certainty that your security will be improved by installing code blobs. It s also impossible to say with absolute certainty that it won t. So far evidence tends to support the idea that most updates that claim to fix security issues do, and there s not a lot of evidence to support the idea that updates add new backdoors. Overall I d say that providing the updates is likely the right default for most users - and that that should never be strongly enforced, because people should be allowed to define their own security model, and whatever set of threats I m worried about, someone else may have a good reason to focus on different ones.

  1. Code that runs on the CPU before the OS is still usually described as firmware - UEFI is firmware even though it s executing on the CPU, which should give a strong indication that the difference between firmware and software is largely arbitrary
  2. And, obviously 8051
  3. Because UEFI makes everything more complicated, UEFI makes this more complicated. Triggering a UEFI runtime service involves your OS jumping into firmware code at runtime, in the same context as the OS kernel. Sometimes this will trigger a jump into System Management Mode, but other times it won t, and it s just your kernel executing code that got dumped into RAM when your system booted.
  4. I don t understand most of the diff between one kernel version and the next, and I don t have time to read all of it either.
  5. There s a bunch of reasons to do this, the most reasonable of which is probably not wanting customers to replace the code and break their hardware and deal with the support overhead of that, but not being able to replace code running on hardware I own is always going to be an affront to me.

Michael Ablassmeier: pbsindex - file backup index

If you take backups using the proxmox-backup-client and you wondered what backup may include a specific file, the only way to find out is to mount the backup and search for the files. For regular file backups, the Proxmox Backup Server frontend provides a pcat1 file for download, whose binary format is somewhat undocumented but actually includes a listing of the files backed up. A Proxmox backup server datastore includes the same pcat1 file as blob index (.pcat1.didx). So to actually beeing able to tell which backup contains which files, one needs to: 1) Open the .pcat1.didx file and find out required blobs, see format documentation 2) Reconstruct the .pcat1 file from the blobs 3) Parse the pcat1 file and output the directory listing. I ve implemented this in pbsindex which lets you create a central file index for your backups by scanning a complete PBS datastore. Lets say you want to have a file listing for a specific backup, use:
 pbsindex --chunk-dir /backup/.chunks/ /backup/host/vm178/2026-03-02T10:47:57Z/catalog.pcat1.didx
 didx uuid=7e4086a9-4432-4184-a21f-0aeec2b2de93 ctime=2026-03-02T10:47:57Z chunks=2 total_size=1037386
 chunk[0] start=0 end=344652 size=344652 digest=af3851419f5e74fbb4d7ca6ac3bc7c5cbbdb7c03d3cb489d57742ea717972224
 chunk[1] start=344652 end=1037386 size=692734 digest=e400b13522df02641c2d9934c3880ae78ebb397c66f9b4cf3b931d309da1a7cc
 d ./usr.pxar.didx
 d ./usr.pxar.didx/bin
 l ./usr.pxar.didx/bin/Mail
 f ./usr.pxar.didx/bin/[ size=55720 mtime=2025-06-04T15:14:05Z
 f ./usr.pxar.didx/bin/aa-enabled size=18672 mtime=2025-04-10T15:06:25Z
 f ./usr.pxar.didx/bin/aa-exec size=18672 mtime=2025-04-10T15:06:25Z
 f ./usr.pxar.didx/bin/aa-features-abi size=18664 mtime=2025-04-10T15:06:25Z
 l ./usr.pxar.didx/bin/apropos
It also lets you scan a complete datastore for all existing .pcat1.didx files and store the directory listings in a SQLite database for easier searching.

2 March 2026

Isoken Ibizugbe: Wrapping Up My Outreachy Internship at Debian

Twelve weeks ago, I stepped into the Debian ecosystem as an Outreachy intern with a curiosity for Quality Assurance. It feels like just yesterday, and time has flown by so fast! Now, I am wrapping up that journey, not just with a completed project, but with improved technical reasoning.

I have learned how to use documentation to understand a complex project, how to be a good collaborator, and that learning is a continuous process. These experiences have helped me grow much more confident in my skills as an engineer.

My Achievements

As I close this chapter, I am leaving a permanent Proof-of-Work in the Debian repositories:

  • Full Test Coverage: I automated apps_startstop tests for Cinnamon, LXQt, and XFCE, covering both Live images and Netinst installations.
  • Synergy: I used symbolic links and a single Perl script to handle common application tests across different desktops, which reduces code redundancy.
  • The Contributor Style Guide: I created a guide for future contributors to make documentation clearer and reviews faster, helping to reduce the burden on reviewers.

Final Month: Wrap Up

In this final month, things became easier as my understanding of the project grew. I focused on stability and finishing my remaining tasks:

  • I spent time exploring different QEMU video options like VGA, qxl, and virtio on KDE desktop environment . This was important to ensure screen rendering remained stable so that our needles (visual test markers) wouldn t fail because of minor glitches.
  • I successfully moved from familiarizing to test automation for the XFCE desktop. This included writing prepare steps and creating the visual needles needed to make the tests reliable.
  • One of my final challenges was the app launcher function. Originally, my code used else if blocks for each desktop. I proposed a unified solution, but hit a blocker: XFCE has two ways to launch apps (App Finder and the Application Menu). Because using different methods sometimes caused failures, I chose to use the application menu button across the board.

What s Next?

I don t want my journey with Debian to end here. I plan to stay involved in the community and extend these same tests to the LXDE desktop to complete the coverage for all major Debian desktop environments. I am excited to keep exploring and learning more about the Debian ecosystem.

Thank You

This journey wouldn t have been possible without the steady guidance of my mentors: Tassia Camoes Araujo, Roland Clobus, and Philip Hands. Thank you for teaching me that in the world of Free and Open Source Software (FOSS), your voice and your code are equally important.

To my fellow intern Hellen and the entire Outreachy community, thank you for the shared learning and support. It has been an incredible 12 weeks.

Hellen Chemtai: The Last Week of My Journey as an Outreachy Intern at Debian OpenQA

Hello world  . I m Hellen Chemtai, an intern at Outreachy working with the Debian OpenQA team on Images Testing. This is the final week of the internship. This is just a start for me as I will continue contributing to the community .I am grateful for the opportunity to work with the Debian OpenQA team as an Outreachy intern. I have had the best welcoming team to Open Source.

My tasks and contributions

I have been working on network install and live images tasks :

  1. Install live Installers ( Ventoy , Rufus and Balenaetcher) and test the live USBs made by these live installers. These tasks were completed and is running on the server.
  2. Use different file systems (btrfs , jfs , xfs) for installation and then test. This task was completed and running on the server. It still needs some changes to ensure automation for each file system
  3. Use speech synthesis to capture all audio. This task is complete. We are refining it to run well in server.
  4. Publish temporary assets. This task is being worked on.

I have enjoyed working on testing both live images and net install images. This was one of the goals that I had highlighted in my application. I have also been working with fellow contributors in this project.

My team

As I had stated , I have had the best welcoming team to Open Source . They have been working with me and ensuring I have the proper resources for contributions. I am grateful to my three mentors and the work they have done.

  1. Roland Clobus is a project maintainer. He is in charge of code review , pointing out what we need to learn and works on technical issues. He considers every solution we contributors think of and will go into detailed explanations for any issue we have.
  2. Tassia Camoes is a community coordinator. She is in charge of communication, co-ordination between contributors and networking within the community. She on-boarded us and introduced us to the community.
  3. Philip Hands is also a project maintainer. He is in charge of technical code , ensuring sources work and also working on server and its issues. He also gives detailed explanations for any issue we have.

I wish to learn more with the team. On my to do list, I would like to gain more skills on ports and packages so to contribute more technically. I have enjoyed working on the tasks and learning

The impact of this project

The automated tests done by the team help the community in some of the following examples:

  1. Check the installation and system behavior of the Operating System images versions
  2. Help developers and users of Operating Systems know which versions of applications e.g live installers run well on system
  3. Check for any issues during installation and running of Operating Systems and their flavors

I have also networked with the greater community and other contributors. During the contribution phase, I found many friends who were learning together with me . I hope to continue networking with the community and continue learning.

Ben Hutchings: FOSS activity in February 2026

Valhalla's Things: A Pen Case (or a Few)

Posted on March 2, 2026
Tags: madeof:atoms, FreeSoftWear, craft:sewing
A pen case made of two pieces of a relatively stiff black material with a flat base and three separate channels on top, plus a flap covering everything and a band to keep the flap closed; there is visible light blue stitching all around the channels. For my birthday, I ve bought myself a fancy new expensive1 fountain pen. A two slot pen case in the same material as above, but brown: the flap is too short to cover the pens, and there isn't a band to keep it closed. Such a fancy pen, of course requires a suitable case: I couldn t use the failed prototype of a case I ve been keeping my Preppys in, so I had to get out the nice vegetable tanned leather Yeah, nope, I don t have that (yet). I got out the latex and cardboard material that is sold as a (cheaper) leather substitute, doesn t look like leather at all, but is quite nice (and easy) to work with. The project is not vegan anyway, because I used waxed linen thread, waxing it myself with a lot of very nicely smelling beeswax. a case similar to the one above, but this one only has two slots, and there is a a Faber Castell pen nested on top of the case between the two slots. Here the stitches are white, and in a coarser thread. I got the measurements2 from the less failed prototype where I keep my desktop pens, and this time I made a proper pattern I could share online, under the usual Free Culture license. A case like the one above, except that the stitches are in black, and not as regular. This one has also been scrunched up a bit for a different look, and now the band is a bit too wide. From the width of the material I could conveniently cut two cases, so that s what I did, started sewing the first one, realized that I got the order of stitching wrong, and also that if I used light blue thread instead of the black one it would look nice, and be easier to see in the pictures for the published pattern, started sewing the second one, and kept alternating between the two, depending on the availability of light for taking pictures. The open pen case, showing two pens, a blue Preppy and a gunmetal Plaisir cosily nested in the two outer slots, while the middle slot is ominously empty. One of the two took the place of my desktop one, where I had one more pen than slots, and one of the old prototypes was moved to keep my bedside pen, and the other new case was used for the new pen in my handbag, together with a Preppy, and now I have a free slot and you can see how this is going to go wrong, right? :D

  1. 16 . plus a 9 converter, and another 6 pen to get the EF nib from, since it wasn t available for the expensive pen.
  2. I have them written down somewhere. I couldn t find them. So I measured the real thing, with some approximation.

28 February 2026

Mike Gabriel: Debian Lomiri Tablets 2025-2027 - Project Report (Q3/2025)

Debian Lomiri for Debian 13 (previous project) In our previous project around Debian and Lomiri (lasting until July 2025), we achieved to get Lomiri 0.5.0 (and with it another 130 packages) into Debian (with two minor exceptions [1]) just in time for the Debian 13 release in August 2025. Debian Lomiri for Debian 14 At DebConf in Brest, a follow-up project has been designed between the project sponsor and Fre(i)e Software GmbH [2]. The new project (on paper) started on 1st August 2025 and project duration was agreed on to be 2 years, allowing our company to work with an equivalent of ~5 FTE on Lomiri targetting the Debian 14 release some time in the second half of 2027 (an assumed date, let's see what happens). Ongoing work would be covered from day one of the new project and once all contract details had been properly put on paper end of September, Fre(i)e Software GmbH started hiring a new team of software developers and (future) Debian maintainers. (More of that new team in our next Q4/2025 report). The ongoing work of Q3/2025 was basically Guido Berh rster and myself working on Morph Browser Qt6 (mostly Guido together with Bhushan from MiraLab [3]) and package maintenance in Debian (mostly me). Morph Browser Qt6 The first milestone we could reach with the Qt6 porting of Morph Browser [4] and related components (LUITK aka lomiri-ui-toolkit (big chunk! [5]), lomiri-content-hub, lomiri-download-manager and a few other components) was reached on 21st Sep 2025 with an upload of Morph Browser 1.2.0~git20250813.1ca2aa7+dfsg-1~exp1 to Debian experimental and the Lomiri PPA [6]). Preparation of Debian 13 Updates (still pending) In background, various Lomiri updates for Debian 13 have been prepared during Q3/2025 (with a huge patchset), but publishing those to Debian 13 are still pending as tests are still not satisfying. [1] lomiri-push-service and nuntium
[2] https://freiesoftware.gmbh
[3] https://miralab.one/
[4] https://gitlab.com/ubports/development/core/morph-browser/-/merge_reques... et al.
[5] https://gitlab.com/ubports/development/core/lomiri-ui-toolkit/-/merge_re... et al.
[6] https://launchpad.net/~lomiri

Utkarsh Gupta: FOSS Activites in February 2026

Here s my monthly but brief update about the activities I ve done in the FOSS world.

Debian
Whilst I didn t get a chance to do much, here are still a few things that I worked on:
  • Uploaded node-lodash/4.17.21+dfsg+~cs8.31.198.20210220-10 to fix CVE-2025-13465 in unstable. Pinged Xavier and Praveen to see how they feel about the backport for the stable releases.
  • Assited a few folks in getting their patches submitted via Salsa.
    • Reviewing pyenv MR for Ujjwal.
    • Reviewing and assisting Anshul with his Golang stuff.
  • Mentoring for newcomers.
  • Started to be a bit involved with DC 26 bits.
  • Moderation of -project mailing list.

Ubuntu
I joined Canonical to work on Ubuntu full-time back in February 2021. Whilst I can t give a full, detailed list of things I did, here s a quick TL;DR of what I did:
  • Successfully released Resolute Snapshot 4!
    • This one was also done without the ISO tracker and cdimage access.
    • We also worked very hard to build and promote all the image in due time.
    • This was one done with the Test Observer. The first one.
  • Worked further on the whole artifact signing story for cdimage.
  • Assisted a bunch of folks with my Archive Admin and Release team hats to:
    • Review and grant FFes.
    • Coordinating weekly syncs.
    • Promoting binaries to main.
    • Taking care of package removals and so on.
  • Was pretty occupied with the new release processs architecture.

Debian (E)LTS
This month I have worked 42 hours on Debian Long Term Support (LTS) and on its sister Extended LTS project and did the following things:

Released Security Updates

Work in Progress
  • knot-resolver: Affected by CVE-2023-26249, CVE-2023-46317, and CVE-2022-40188, leading to Denial of Service.
  • ruby-rack: There were multiple vulnerabilities reported in Rack, leading to DoS (memory exhaustion) and proxy bypass.
    • [ELTS]: I ve partially reviewed patches by Bastien but whilst doing so, new ones came up for all the releases.
    • [sid]: Uploaded ruby-rack/3.2.5-1 to unstable to fix the new CVEs, CVE-2026-25500 and CVE-2026-22860.
    • [stable]: Prepared the upload for stable releases, as requested by the Security Team. Will upload them in March.
    • [bullseye]: Backport for CVE-2026-22860 hasn t been as trivial as it appears to be. There are test failures, which aren t really ignore-able:
      The tests requests /cgi/../test, which File.expand_path resolves to <root>/test - firmly inside @root. With the old code, it hit the return unless path_info.include? ".." guard and fell through to 403. But it would also have returned early via start_with?(@root) being true
    • anyway, this needs more investigation - I ll continue to do so in March as P1.
  • node-lodash: Affected by CVE-2025-13465, lrototype pollution in baseUnset function.
    • [stable]: The patch for trixie and bookworm are ready and have been awaiting the maintainer review.
    • [LTS]: The bullseye upload will follow once the stable uploads are in and ACK d by the SRMs.
  • vlc: Affected by CVE-2025-51602, an out-of-bounds read and denial of service via a crafted 0x01 response from an MMS server.
    • [LTS]: 3.0.23 backport is ready but not tested. I ll get this over the line in March.
    • [ELTS]: 3.0.23 backport is ready but not very clean. Would like to complete LTS and get back to this.

Other Activities
  • [LTS] Coordinated the libvirt sitaution with Ben Hutchings. The upload has already been prepped, will upload in March.
  • [ELTS] Continued to help Bastien and Markus with the tomcat9 regression for buster.
  • [ELTS] Partially reviewed ruby-rack CVEs to help Bastien. This took more time than expected with some more develpments hapening at the end of the month - new CVEs that aren t as easy to backport as I expected them to be. Will continue with these in March.
  • [E/LTS] Front Desk duties: Performed a large batch of CVE triage, marking numerous packages for bullseye, buster, and stretch as either postponed, end-of-life, not-affected, or added them to the Xla-needed.txt files.
    • Also replied to certain mails and IRC texts around FD related tasks.
  • [E/LTS] Monitored discussions on mailing lists, IRC, and all the documentation updates.
  • [E/LTS] Attended the monthly LTS meeting on Jitsi. Summary here.

Until next time.
:wq for today.

Daniel Baumann: Debian Fast Forward: An alternative backports repository

The Debian project releases a new stable version of its Linux distribution approximately every two years. During its life time, a stable release usually gets security updates only, but in general no feature updates. For some packages it is desirable to get feature updates earlier than with the next stable release. Some new packages included in Debian after the initial release of a stable distribution are desirable for stable too. Both use-cases can be solved by recompiling the newer version of a package from testing/unstable on stable (aka backporting). Packages are backported together with only the minimal amount of required build-depends or depends not already fulfilled in stable (if any), and without any changes unless required to fix building on stable (if needed). There are official Debian Backports available, as well as several well-known unofficial backports repositories. I have been involved in one of these unofficial repositories since 2005 which subsequently turned 2010 into its own Debian derivative, mixing both backports and modified packages in one repository for simplicity. Starting with the Debian 13 (trixie) release, the (otherwise unmodified) backports of this derivative have been split out from the derivative distribution into a separate repository. This way the backports are more accessible and useful for all interested Debian users too.
TL;DR: Debian Fast Forward - https://fastforward.debian.net
  • is an alternative Debian repository containing complementary backports from testing/unstable to stable
  • with packages organized in a curated, self-contained selection of coherent sets
  • supporting amd64, i386, and arm64 architectures
  • containing around 400 packages in trixie-fastforward-backports
  • with 1 800 uploads since July 2025
End user documentation about how to enable Debian Fast Forwards is available. Have fun!

27 February 2026

Petter Reinholdtsen: Free software toolchain for the simplest RISC-V CPU in a small FPGA?

On Wednesday I had the pleasure of attending a presentation organized by the Norwegian Unix Users Group on implementing RISC-V using a small FPGA. This project is the result of a university teacher wanting to teach students assembly programming using a real instruction set, while still providing a simple and transparent CPU environment. The CPU in question implements the smallest set of opcodes needed to still call the CPU a RISC-V CPU, the RV32I base set. The author and presenter, Kristoffer Robin Stokke, demonstrated how to build both the FPGA setup and a small startup code providing a "Hello World" message over both serial port and a small LCD display. The FPGA is programmed using VHDL, the entire source code is available from github, but unfortunately the target FPGA setup is compiled using the proprietary tool Quartus. It is such a pity that such a cool little piece of free software should be chained down by non-free software, so my friend Jon Nordby set out to see if we can liberate this small RISC-V CPU. After all, it would be unforgivable sin to force students to use non-free software to study at the University of Oslo. The VHDL code for the CPU instructions itself is only 1138 lines, if I am to believe wc -l lib/riscv_common/* lib/rv32i/*. On the small FPGA used during the talk, the entire CPU, ROM, display and serial port driver only used up half the capacity. These days, there exists a free software toolchain for FPGA programming not only in Verilog but also in VHDL, and we hope the support in yosys, ghdl, and yosys-plugin-ghdl (sadly and strangely enough, removed from Debian unstable) is complete enough to at least build this small and simple project with some minor portability fixes. Or perhaps there are other approaches that work better? The first patches are already floating on github, to make the VHDL code more portable and to test out the build. If you are interested in running your own little RISC-V CPU on a FPGA chip, please get in touch. At the moment we sadly have hit a GHDL bug, which we do not quite know how to work around or fix:
******************** GHDL Bug occurred ***************************
Please report this bug on https://github.com/ghdl/ghdl/issues
GHDL release: 5.0.1 (Debian 5.0.1+dfsg-1+b1) [Dunoon edition]
Compiled with unknown compiler version
Target: x86_64-linux-gnu
/scratch/pere/src/fpga/memstick-fpga-riscv-upstream/
Command line:
Exception CONSTRAINT_ERROR raised
Exception information:
raised CONSTRAINT_ERROR : synth-vhdl_expr.adb:1763 discriminant check failed
******************************************************************
Thus more work is needed. For me, this simple project is the first stepping stone for a larger dream I have of converting the MESA machine controller system to build its firmware using a free software toolchain. I just need to learn more FPGA programming first. :) As usual, if you use Bitcoin and want to show your support of my activities, please send Bitcoin donations to my address 15oWEoG9dUPovwmUL9KWAnYRtNJEkP1u1b.

24 February 2026

John Goerzen: Screen Power Saving in the Linux Console

I just made up a Debian trixie setup that has no need for a GUI. In fact, I rarely use the text console either. However, because the machine is dual boot and also serves another purpose, it s connected to my main monitor and KVM switch. The monitor has three inputs, and when whatever display it s set to goes into powersave mode, it will seek out another one that s active and automatically switch to it. You can probably see where this is heading: it s really inconvenient if one of the inputs never goes into powersave mode. And, of course, it wastes energy. I have concluded that the Linux text console has lost the ability to enter powersave mode after an inactivity timeout. It can still do screen blanking setting every pixel to black but that is a distinct and much less useful thing. You can do a lot of searching online that will tell you what to do. Almost all of it is wrong these days. For instance, none of these work: Why is this? Well, we are on at least the third generation of Linux text console display subsystems. (Maybe more than 3, depending on how you count.) The three major ones were:
  1. The VGA text console
  2. fbdev
  3. DRI/KMS
As I mentioned recently in my post about running an accurate 80 25 DOS-style console on modern Linux, the VGA text console mode is pretty much gone these days. It relied on hardware rendering of the text fonts, and that capability simply isn t present on systems that aren t PCs or even on PCs that are UEFI, which is most of them now. fbdev, or a framebuffer console under earlier names, has been in Linux since the late 1990s. It was the default for most distros until more recently. It supported DPMS powersave modes, and most of the instructions you will find online reference it. Nowadays, the DRI/KMS system is used for graphics. Unfortunately, it is targeted mainly at X11 and Wayland. It is also used for the text console, but things like DPMS-enabled timeouts were never implemented there. You can find some manual workarounds for instance, using ddcutil or similar for an external monitor, or adjusting the backlight files under /sys on a laptop. But these have a number of flaws making unwanted brightness adjustments, and not automatically waking up on keypress among them. My workaround I finally gave up and ran apt-get install xdm. Then in /etc/X11/xdm/Xsetup, I added one line:
xset dpms 0 0 120
Now the system boots into an xdm login screen, and shuts down the screen after 2 minutes of inactivity. On the rare occasion where I want a text console from it, I can switch to it and it won t have a timeout, but I can live with that. Thus, quite hopefully, concludes my series of way too much information about the Linux text console!

23 February 2026

Antoine Beaupr : PSA: North america changes time forward soon, Europe next

This is a copy of an email I used to send internally at work and now made public. I'm not sure I'll make a habit of posting it here, especially not twice a year, unless people really like it. Right now, it's mostly here to keep with my current writing spree going.
This is your bi-yearly reminder that time is changing soon!

What's happening? For people not on tor-internal, you should know that I've been sending semi-regular announcements when daylight saving changes occur. Starting now, I'm making those announcements public so they can be shared with the wider community because, after all, this affects everyone (kind of). For those of you lucky enough to have no idea what I'm talking about, you should know that some places in the world implement what is called Daylight saving time or DST. Normally, you shouldn't have to do anything: computers automatically change time following local rules, assuming they are correctly configured, provided recent updates have been applied in the case of a recent change in said rules (because yes, this happens). Appliances, of course, will likely not change time and will need to adjusted unless they are so-called "smart" (also known as "part of a bot net"). If your clock is flashing "0:00" or "12:00", you have no action to take, congratulations on having the right time once or twice a day. If you haven't changed those clocks in six months, congratulations, they will be accurate again! In any case, you should still consider DST because it might affect some of your meeting schedules, particularly if you set up a new meeting schedule in the last 6 months and forgot to consider this change.

If your location does not have DST Properly scheduled meetings affecting multiple time zones are set in UTC time, which does not change. So if your location does not observer time changes, your (local!) meeting time will not change. But be aware that some other folks attending your meeting might have the DST bug and their meeting times will change. They might miss entire meetings or arrive late as you frantically ping them over IRC, Matrix, Signal, SMS, Ricochet, Mattermost, SimpleX, Whatsapp, Discord, Slack, Wechat, Snapchat, Telegram, XMPP, Briar, Zulip, RocketChat, DeltaChat, talk(1), write(1), actual telegrams, Meshtastic, Meshcore, Reticulum, APRS, snail mail, and, finally, flying a remote presence drone to their house, asking what's going on. (Sorry if I forgot your preferred messaging client here, I tried my best.) Be kind; those poor folks might be more sleep deprived as DST steals one hour of sleep from them on the night that implements the change.

If you do observe DST If you are affected by the DST bug, your local meeting times will change access the board. Normally, you can trust that your meetings are scheduled to take this change into account and the new time should still be reasonable. Trust, but verify; make sure the new times are adequate and there are no scheduling conflicts. Do this now: take a look at your calendar in two week and in April. See if any meeting need to be rescheduled because of an impossible or conflicting time.

When does time change, how and where? Notice how I mentioned "North America" in the subject? That's a lie. ("The doctor lies", as they say on the BBC.) Other places, including Europe, also changes times, just not all at once (and not all North America). We'll get into "where" soon, but first let's look at the "how". As you might already know, the trick is:
Spring forward, fall backwards.
This northern-centric (sorry!) proverb says that clocks will move forward by an hour this "spring", after moving backwards last "fall". This is why we lose an hour of work, sorry, sleep. It sucks, to put it bluntly. I want it to stop and will keep writing those advisories until it does. To see where and when, we, unfortunately, still need to go into politics.

USA and Canada First, we start with "North America" which, really, is just some parts of USA[1] and Canada[2]. As usual, on the Second Sunday in March (the 8th) at 02:00 local (not UTC!), the clocks will move forward. This means that properly set clocks will flip from 1:59 to 3:00, coldly depriving us from an hour of sleep that was perniciously granted 6 months ago and making calendar software stupidly hard to write. Practically, set your wrist watch and alarm clocks[3] back one hour before going to bed and go to bed early. [1] except Arizona (except the Navajo nation), US territories, and Hawaii [2] except Yukon, most of Saskatchewan, and parts of British Columbia (northeast), one island in Nunavut (Southampton Island), one town in Ontario (Atikokan) and small parts of Quebec (Le Golfe-du-Saint-Laurent), a list which I keep recopying because I find it just so amazing how chaotic it is. When your clock has its own Wikipedia page, you know something is wrong. [3] hopefully not managed by a botnet, otherwise kindly ask your bot net operator to apply proper software upgrades in a timely manner

Europe Next we look at our dear Europe, which will change time on the last Sunday in March (the 29th) at 01:00 UTC (not local!). I think it means that, Amsterdam-time, the clocks will flip from 1:59 to 3:00 AM local on that night. (Every time I write this, I have doubts. I would welcome independent confirmation from night owls that observe that funky behavior experimentally.) Just like your poor fellows out west, just fix your old-school clocks before going to bed, and go to sleep early, it's good for you.

Rest of the world with DST Renewed and recurring apologies again to the people of Cuba, Mexico, Moldova, Israel, Lebanon, Palestine, Egypt, Chile (except Magallanes Region), parts of Australia, and New Zealand which all have their own individual DST rules, omitted here for brevity. In general, changes also happen in March, but either on different times or different days, except in the south hemisphere, where they happen in April.

Rest of the world without DST All of you other folks without DST, rejoice! Thank you for reminding us how manage calendars and clocks normally. Sometimes, doing nothing is precisely the right thing to do. You're an inspiration for us all.

Changes since last time There were, again, no changes since last year on daylight savings that I'm aware of. It seems the US congress debating switching to a "half-daylight" time zone which is an half-baked idea that I should have expected from the current USA politics. The plan is to, say, switch from "Eastern is UTC-4 in the summer" to "Eastern is UTC-4.5". The bill also proposes to do this 90 days after enactment, which is dangerously optimistic about our capacity at deploying any significant change in human society. In general, I rely on the Wikipedia time nerds for this and Paul Eggert which seems to singlehandledly be keeping everything in order for all of us, on the tz-announce mailing list. This time, I've also looked at the tz mailing list which is where I learned about the congress bill. If your country has changed time and no one above noticed, now would be an extremely late time to do something about this, typically writing to the above list. (Incredibly, I need to write to the list because of this post.) One thing that did change since last year is that I've implemented what I hope to be a robust calendar for this, which was surprisingly tricky. If you have access to our Nextcloud, it should be visible under the heading "Daylight saving times". If you don't, you can access it using this direct link. The procedures around how this calendar was created, how this email was written, and curses found along the way, are also documented in this wiki page, if someone ever needs to pick up the Time Lord duty.

Wouter Verhelst: On Free Software, Free Hardware, and the firmware in between

When the Free Software movement started in the 1980s, most of the world had just made a transition from free university-written software to non-free, proprietary, company-written software. Because of that, the initial ethical standpoint of the Free Software foundation was that it's fine to run a non-free operating system, as long as all the software you run on that operating system is free. Initially this was just the editor. But as time went on, and the FSF managed to write more and more parts of the software stack, their ethical stance moved with the times. This was a, very reasonable, pragmatic stance: if you don't accept using a non-free operating system and there isn't a free operating system yet, then obviously you can't write that free operating system, and the world won't move towards a point where free operating systems exist. In the early 1990s, when Linus initiated the Linux kernel, the situation reached the point where the original dream of a fully free software stack was complete. Or so it would appear. Because, in fact, this was not the case. Computers are physical objects, composed of bits of technology that we refer to as "hardware", but in order for these bits of technology to communicate with other bits of technology in the same computer system, they need to interface with each other, usually using some form of bus protocol. These bus protocols can get very complicated, which means that a bit of software is required in order to make all the bits communicate with each other properly. Generally, this software is referred to as "firmware", but don't let that name deceive you; it's really just a bit of low-level software that is very specific to one piece of hardware. Sometimes it's written in an imperative high-level language; sometimes it's just a set of very simple initialization vectors. But whatever the case might be, it's always a bit of software. And although we largely had a free system, this bit of low-level software was not yet free. Initially, storage was expensive, so computers couldn't store as much data as today, and so most of this software was stored in ROM chips on the exact bits of hardware they were meant for. Due to this fact, it was easy to deceive yourself that the firmware wasn't there, because you never directly interacted with it. We knew it was there; in fact, for some larger pieces of this type of software it was possible, even in those days, to install updates. But that was rarely if ever done at the time, and it was easily forgotten. And so, when the free software movement slapped itself on the back and declared victory when a fully free operating system was available, and decided that the work of creating a free software environment was finished, that only keeping it recent was further required, and that we must reject any further non-free encroachments on our fully free software stack, the free software movement was deceiving itself. Because a computing environment can never be fully free if the low-level pieces of software that form the foundations of that computing environment are not free. It would have been one thing if the Free Software Foundation declared it ethical to use non-free low-level software on a computing environment if free alternatives were not available. But unfortunately, they did not. In fact, something very strange happened. In order for some free software hacker to be able to write a free replacement for some piece of non-free software, they obviously need to be able to actually install that theoretical free replacement. This isn't just a random thought; in fact it has happened. Now, it's possible to install software on a piece of rewritable storage such as flash memory inside the hardware and boot the hardware from that, but if there is a bug in your software -- not at all unlikely if you're trying to write software for a piece of hardware that you don't have documentation for -- then it's not unfathomable that the replacement piece of software will not work, thereby reducing your expensive piece of technology to something about as useful as a paperweight. Here's the good part. In the late 1990s and early 2000s, the bits of technology that made up computers became so complicated, and the storage and memory available to computers so much larger and cheaper, that it became economically more feasible to create a small, tiny, piece of software stored in a ROM chip on the hardware, with just enough knowledge of the bus protocol to download the rest from the main computer. This is awesome for free software. If you now write a replacement for the non-free software that comes with the hardware, and you make a mistake, no wobbles! You just remove power from the system, let the DRAM chips on the hardware component fully drain, return power, and try again. You might still end up with a brick of useless silicon if some of the things you sent to your technology make it do things that it was not designed to do and therefore you burn through some critical bits of metal or plastic, but the chance of this happening is significantly lower than the chance of you writing something that impedes the boot process of the piece of hardware and you are unable to fix it because the flash is overwritten. There is anecdotal evidence that there are free software hackers out there who do so. So, yay, right? You'd think the Free Software foundation would jump at the possibility to get more free software? After all, a large part of why we even have a Free Software Foundation in the first place, was because of some piece of hardware that was misbehaving, so you would think that the foundation's founders would understand the need for hardware to be controlled by software that is free. The strange thing, what has always been strange to me, is that this is not what happened. The Free Software Foundation instead decided that non-free software on ROM or flash chips is fine, but non-free software -- the very same non-free software, mind -- that touches the general storage device that you as a user use, is not. Never mind the fact that the non-free software is always there, whether it sits on your storage device or not. Misguidedness aside, if some people decide they would rather not update the non-free software in their hardware and use the hardware with the old and potentially buggy version of the non-free software that it came with, then of course that's their business. Unfortunately, it didn't quite stop there. If it had, I wouldn't have written this blog post. You see, even though the Free Software Foundation was about Software, they decided that they needed to create a hardware certification program. And this hardware certification program ended up embedding the strange concept that if something is stored in ROM it's fine, but if something is stored on a hard drive it's not. Same hardware, same software, but different storage. By that logic, Windows respects your freedom as long as the software is written to ROM. Because this way, the Free Software Foundation could come to a standstill and pretend they were still living in the 90s. An unfortunate result of the "RYF" program is that it means that companies who otherwise would have been inclined to create hardware that was truly free, top to bottom, are now more incentivised by the RYF program to create hardware in which the non-free low-level software can't be replaced. Meanwhile, the rest of the world did not pretend to still be living in the nineties, and free hardware communities now exist. Because of how the FSF has marketed themselves out of the world, these communities call themselves "Open Hardware" communities, rather than "Free Hardware" ones, but the principle is the same: the designs are there, if you have the skill you can modify it, but you don't have to. In the mean time, the open hardware community has evolved to a point where even CPUs are designed in the open, which you can design your own version of. But not all hardware can be implemented as RISC-V, and so if you want a full system that builds RISC-V you may still need components of the system that were originally built for other architectures but that would work with RISC-V, such as a network card or a GPU. And because the FSF has done everything in their power to disincentivise people who would otherwise be well situated to build free versions of the low-level software required to support your hardware, you may now be in the weird position where we seem to have somehow skipped a step.
My own suspicion is that the universe is not only queerer than we suppose, but queerer than we can suppose.
-- J.B.S. Haldane (comments for this post will not pass moderation. Use your own blog!)

22 February 2026

Benjamin Mako Hill: What makes online groups vulnerable to governance capture?

Note: I have not published blog posts about my academic papers over the past few years. To ensure that my blog contains a more comprehensive record of my published papers and to surface these for folks who missed them, I will be periodically (re)publishing blog posts about some older published projects. This post is closely based on a previously published post by Zarine Kharazian on the Community Data Science Blog. For nearly a decade, the Croatian language version of Wikipedia was run by a cabal of far-right nationalists who edited articles in ways that promoted fringe political ideas and involved cases of historical revisionism related to the Usta e regime, a fascist movement that ruled the Nazi puppet state called the Independent State of Croatia during World War II. This cabal seized complete control of the encyclopedia s governance, banned and blocked those who disagreed with them, and operated a network of fake accounts to create the appearance of grassroots support for their policies. Thankfully, Croatian Wikipedia appears to be an outlier. Though both the Croatian and Serbian language editions have been documented to contain nationalist bias and historical revisionism, Croatian Wikipedia seems unique among Wikipedia editions in the extent to which its governance institutions were captured by a small group of users.

The situation in Croatian Wikipedia was well documented and is now largely fixed, but we still know very little about why it was taken over, while other language editions seem to have rebuffed similar capture attempts. In a paper published in the Proceedings of the ACM: Human-Computer Interaction (CSCW), Zarine Kharazian, Kate Starbird, and I present an interview-based study that provides an explanation for why Croatian was captured while several other editions facing similar contexts and threats fared better.

Short video presentation of the work given at Wikimania in August 2023.
Based on insights from interviews with 15 participants from both the Croatian and Serbian Wikipedia projects and from the broader Wikimedia movement, we arrived at three propositions that, together, help explain why Croatian Wikipedia succumbed to capture while Serbian Wikipedia did not:
  1. Perceived Value as a Target. Is the project worth expending the effort to capture?
  2. Bureaucratic Openness. How easy is it for contributors outside the core founding team to ascend to local governance positions?
  3. Institutional Formalization. To what degree does the project prefer personalistic, informal forms of organization over formal ones?
The conceptual model from our paper, visualizing possible institutional configurations among Wikipedia projects that affect the risk of governance capture.
We found that both Croatian and Serbian Wikipedias were attractive targets for far-right nationalist capture due to their sizable readership and resonance with national identity. However, we also found that the two projects diverged early in their trajectories in how open they remained to new contributors ascending to local governance positions and in the degree to which they privileged informal relationships over formal rules and processes as the project s organizing principles. Ultimately, Croatian s relative lack of bureaucratic openness and rules constraining administrator behavior created a window of opportunity for a motivated contingent of editors to seize control of the governance mechanisms of the project. Though our empirical setting was Wikipedia, our theoretical model may offer insight into the challenges faced by self-governed online communities more broadly. As interest in decentralized alternatives to Facebook and X (formerly Twitter) grows, communities on these sites will likely face similar threats from motivated actors. Understanding the vulnerabilities inherent in these self-governing systems is crucial to building resilient defenses against threats like disinformation. For more details on our findings, take a look at the published version of our paper.

Citation for the full paper: Kharazian, Zarine, Kate Starbird, and Benjamin Mako Hill. 2024. Governance Capture in a Self-Governing Community: A Qualitative Comparison of the Croatian, Serbian, Bosnian, and Serbo-Croatian Wikipedias. Proceedings of the ACM on Human-Computer Interaction 8 (CSCW1): 61:1-61:26. https://doi.org/10.1145/3637338.

This blog post and the paper it describes are collaborative work by Zarine Kharazian, Benjamin Mako Hill, and Kate Starbird.

Otto Kek l inen: Do AI models still keep getting better, or have they plateaued?

Featured image of post Do AI models still keep getting better, or have they plateaued?The AI hype is based on the assumption that the frontier AI labs are producing better and better foundational models at an accelerating pace. Is that really true, or are people just in sort of a mass psychosis because AI models have become so good at mimicking human behavior that we unconsciously attribute increasing intelligence to them? I decided to conduct a mini-benchmark of my own to find out if the latest and greatest AI models are actually really good or not.

The problem with benchmarks Every time any team releases a new LLM, they boast how well it performs on various industry benchmarks such as Humanity s Last Exam, SWE-Bench and Ai2 ARC or ARC-AGI. An overall leaderboard can be viewed at LLM-stats. This incentivizes teams to optimize for specific benchmarks, which might make them excel on specific tasks while general abilities degrade. Also, the older a benchmark dataset is, the more online material there is discussing the questions and best answers, which in turn increases the chances of newer models trained on more recent web content scoring better. Thus I prefer looking at real-time leaderboards such as the LM Arena leaderboard (or OpenCompass for Chinese models that might be missing from LM Arena). However, even though the LM Arena Elo score is rated by humans in real-time, the benchmark can still be played. For example, Meta reportedly used a special chat-optimized model instead of the actual Llama 4 model when getting scored on the LM Arena. Therefore I trust my own first-hand experience more than the benchmarks for gaining intuition. Intuition however is not a compelling argument in discussions on whether or not new flagship AI models have plateaued. Thus, I decided to devise my own mini-benchmark so that no model could have possibly seen it in its training data or be specifically optimized for it in any way.

My mini-benchmark I crafted 6 questions based on my own experience using various LLMs for several years and having developed some intuition about what kinds of questions LLMs typically struggle with. I conducted the benchmark using the OpenRouter.ai chat playroom with the following state-of-the-art models: OpenRouter.ai is great as it very easy to get responses from multiple models in parallel to a single question. Also it allows to turn off web search to force the models to answer purely based on their embedded knowledge. OpenRouter.ai Chat playroom Common for all the test questions is that they are fairly straightforward and have a clear answer, yet the answer isn t common knowledge or statistically the most obvious one, and instead requires a bit of reasoning to get correct. Some of these questions are also based on myself witnessing a flagship model failing miserably to answer it.

1. Which cities have hosted the Olympics more than just once? This question requires accounting for both summer and winter Olympics, and for Olympics hosted across multiple cities. The variance in responses comes from if the model understands that Beijing should be counted as it has hosted both summer and winter Olympics. Interestingly GPT was the only model to not mention Beijing at all. Some variance also comes from how models account for co-hosted Olympics. For example Cortina should be counted as having hosted the Olympics twice, in 1956 and 2026, but only Claude, Gemini and Kimi pointed this out. Stockholm s 1956 hosting of the equestrian games during the Melbourne Olympics is a special case, which GPT, Gemini and Kimi pointed out in a side note. Some models seem to have old training material, and for example Grok assumes the current year is 2024. All models that accounted for awarded future Olympics (e.g. Los Angeles 2028) marked them clearly as upcoming. Overall I would judge that only GPT and MinMax gave incomplete answers, while all other models replied as the best humans could reasonably have.

2. If EUR/USD continues to slide to 1.5 by mid-2026, what is the likely effect on BMW s stock price by end of 2026? This question requires mapping the currency exchange rate to historic value, dodging the misleading word slide , and reasoning on where the revenue of a company comes from and how a weaker US dollar affects it in multiple ways. I ve frequently witnessed flagship models get it wrong how interest rates and exchange rates work. Apparently the binary choice between up or down is somehow challenging to the internal statistical model in the LLMs on a topic where there are a lot of training material that talk about both things being likely to happen, and choosing between them requires specifically reasoning about the scenario at hand and disregarding general knowledge of the situation. However, this time all the models concluded correctly that a weak dollar would have a negative overall effect on the BMW stock price. Gemini, GLM, Qwen and Kimi also mention the potential hedging effect of BMW s X-series production in South Carolina for worldwide export.

3. What is the Unicode code point for the traffic cone emoji? This was the first question where the the flagship models clearly still struggle in 2026. The trap here is that there is no traffic cone emoji, so an advanced model should simply refuse to give any Unicode numbers at all. Most LLMs however have an urge to give some answer, leading to hallucinations. Also, as the answer has a graphical element to it, the LLM might not understand how the emoji looks in ways that would be obvious to a human, and thus many models claim the construction sign emoji is a traffic cone, which it is not. By far the worst response was from GPT, that simply hallucinates and stops there: OpenAIs GPT-5.2 completely wrong answer to traffic cone emoji question While Gemini and Grok were among the three models not falling into this trap, the response from Claude was exemplary good: Claude Opus 4.6 exemplary good answer to traffic cone emoji question

4. Which languages are the 10 most commonly spoken in the world? For each language, count from 1 to 5. This seemingly simple question can become quite complex when you account for the fact that other languages might also have their own character system, both for words and the numerals (e.g. Arabic /one vs /1), and that numbers might have variations depending on what the thing being counted is (e.g in French object gender un/une), or whether plain numbers and occurrences have their own words (e.g. Russian /odin vs /raz). I ve also witnessed older models frequently mix up on what parts of the reply should be using what language. For a human this question is trivial, assuming they know the language. For LLMs it is surprisingly challenging. Grok and MinMax only gave a list of the most popular languages and stopped there without showing any words in the languages. Qwen got a bit further by trying to list numbers in each language, but the lists were only the numbers 1 to 5: Qwen3.5 Plus count to five in top 10 languages I have seen Grok do something similar before, which in fact inspired me to include this question in my mini-benchmark. GPT got a bit further, but for Hindi, Arabic and Bengali it listed the numerals in local script, not the number words. Gemini, GLM and Kimi gave a complete and correct answer as a list, while the absolute best answer and presentation was by Claude, that gave the table below:
Claude Opus 4.6 10 Most Commonly Spoken Languages (by Total Speakers)
# Language 1 2 3 4 5
1 English One Two Three Four Five
2 Mandarin Chinese (y ) ( r) (s n) (s ) (w )
3 Hindi (ek) (do) (t n) (ch r) (p ch)
4 Spanish Uno Dos Tres Cuatro Cinco
5 French Un Deux Trois Quatre Cinq
6 Arabic (w id) (ithn n) (thal tha) (arba a) (khamsa)
7 Bengali (ek) (dui) (tin) (ch r) (p ch)
8 Portuguese Um Dois Tr s Quatro Cinco
9 Russian (odin) (dva) (tri) (chetyre) (pyat')
10 Japanese (ichi) (ni) (san) (shi) (go)
Note: Rankings are based on estimated total speakers (native + non-native). Rankings can vary depending on the source and methodology used.

5. Count the number of drone launch pads in the picture. Together with the question, I uploaded this picture: Drone pad picture attached to question above A human can easily count that there are 10 rows and 30+ columns in the grid, but because the picture resolution isn t good enough, the exact number of columns can t be counted, and the answer should be that there are at least 300 launch pads in the picture. GPT and Grok both guessed the count is zero. Instead of hallucinating some number they say zero, but it would have been better to not give any number at all, and just state that they are unable to perform the task. Gemini gave as its answer 101 , which is quite odd, but reading the reasoning section, it seems to have tried counting items in the image without reasoning much about what it is actually counting and that there is clearly a grid that can make the counting much easier. Both Qwen and Kimi state they can see four parallel structures, but are unable to count drone launch pads. The absolutely best answer was given by Claude, which counted 10-12 rows and 30-40+ columns, and concluded that there must be 300-500 drone launch pads. Very close to best human level - impressive! This question applied only to multi-modal models that can see images, so GLM and MinMax could not give any response.

6. Explain why I am getting the error below, and what is the best way to fix it? Together with the question above, I gave this code block:
$ SH_SCRIPTS="$(mktemp; grep -Irnw debian/ -e '^#!.*/sh'   sort -u   cut -d ':' -f 1   true)"
$ shellcheck -x --enable=all --shell=sh "$SH_SCRIPTS"
/tmp/tmp.xQOpI5Nljx
debian/tests/integration-tests: /tmp/tmp.xQOpI5Nljx
debian/tests/integration-tests: openBinaryFile: does not exist (No such file or directory)
Older models would easily be misled by the last error message thinking that a file went missing, and focus on suggesting changes to the complex-looking first line. In reality the error is simply caused by having the quotes around the $SH_SCRIPTS, resulting in the entire multi-line string being passed as a single argument to shellcheck. So instead of receiving two separate file paths, shellcheck tries to open one file literally named /tmp/tmp.xQOpI5Nljx\ndebian/tests/integration-tests. Incorrect argument expansion is fairly easy for an experienced human programmer to notice, but tricky for an LLM. Indeed, Grok, MinMax, and Qwen fell for this trap and focused on the mktemp, assuming it somehow fails to create a file. Interestingly GLM fails to produce an answer at all, as the reasoning step seems to be looping, thinking too much about the missing file, but not understanding why it would be missing when there is nothing wrong with how mktemp is executed. Claude, Gemini, and Kimi immediately spot the real root cause of passing the variable quoted and suggested correct fixes that involve either removing the quotes, or using Bash arrays or xargs in a way that makes the whole command also handle correctly filenames with spaces in them.

Conclusion
Model Sports Economics Emoji Languages Visual Shell Score
Claude Opus 4.6 6/6
GPT-5.2 ~ 2.5/6
Grok 4.1 3/6
Gemini 3.1 Pro 5/6
GLM 5 ? N/A 3/5
MinMax M2.5 N/A 1/5
Qwen3.5 Plus ~ 2.5/6
Kimi K2.5 4/6
Obviously, my mini-benchmark only had 6 questions, and I ran it only once. This was obviously not scientifically rigorous. However it was systematic enough to trump just a mere feeling. The main finding for me personally is that Claude Opus 4.6, the flagship model by Anthropic, seems to give great answers consistently. The answers are not only correct, but also well scoped giving enough information to cover everything that seems relevant, without blurping unnecessary filler. I used Claude extensively in 2023-2024 when it was the main model available at my day work, but for the past year I had been using other models that I felt were better at the time. Now Claude seems to be the best-of-the-best again, with Gemini and Kimi as close follow-ups. Comparing their pricing at OpenRouter.ai the Kimi K2.5 price of $0.6 / million tokens is almost 90% cheaper than the Claude Opus 4.6 s $5.0 / million tokens suggests that Kimi K2.5 offers the best price-per-performance ratio. Claude might be cheaper with a monthly subscription directly from Anthropic, potentially narrowing the price gap. Overall I do feel that Anthropic, Google and Moonshot.ai have been pushing the envelope with their latest models in a way that one can t really claim that AI models have plateaued. In fact, one could claim that at least Claude has now climbed over the hill of AI slop and consistently produces valuable results. If and when AI usage expands from here, we might actually not drown in AI slop as chances of accidentally crappy results decrease. This makes me positive about the future. I am also really happy to see that there wasn t just one model crushing everybody else, but that there are at least three models doing very well. As an open source enthusiast I am particularly glad to see that Moonshot.ai s Kimi K2.5 is published with an open license. Given the hardware, anyone can run it on their own. OpenRouter.ai currently lists 9 independent providers alongside Moonshot.ai itself, showcasing the potential of open-weight models in practice. If the pattern holds and flagship models continue improving at this pace we might look back at 2026 as the year AI stopped feeling like a call center associate and started to resemble a scientific researcher. While new models become available we need to keep testing, keep questioning, and keep our expectations grounded in actual performance rather than press releases. Thanks to OpenRouter.ai for providing a great service that makes testing various models incredibly easy!

21 February 2026

Jonathan Dowland: Lanzarote

I want to get back into the habit of blogging, but I've struggled. I've had several ideas of topics to try and write about, but I've not managed to put aside the time to do it. I thought I'd try and bash out a one-take, stream-of-conciousness-style post now, to get back into the swing. I'm writing from the lounge of my hotel room in Lanzarote, where my family have gone for the School break. The weather at home has been pretty awful this year, and this week is traditionally quite miserable at the best of times. It's been dry with highs of around 25 . It's been an unusual holiday in one respect: one of my kids is struggling with Autistic Burnout. We were really unsure whether taking her was a good idea: and certainly towards the beginning of the holiday felt we may have made a mistake. Writing now, at the end, I'm not so sure. But we're very unlikely to have anything resembling a traditional summer holiday for the foreseeable. Managing Autistic Burnout and the UK ways the UK healthcare and education systems manage it (or fail to) has been a huge part of my recent life. Perhaps I should write more about that. This coming week the government are likely to publish plans for reforming Special Needs support in Education. Like many other parents, we wait in hope and fear to see what they plan. In anticipation of spending a lot of time in the hotel room with my preoccupied daughter I (unusually) packed a laptop and set myself a nerd-task: writing a Pandoc parser ("reader") for the MoinMoin Wiki markup language. There's some unfinished prior art from around 2011 by Simon Michael (of hledger) to work from. The motivation was our plan to migrate the Debian Wiki away from MoinMoin. We've since decided to approach that differently but I might finish the Reader anyway, it's been an interesting project (and a nice excuse to write Haskell) and it will be useful for others. Unusually (for me) I've not been reading fiction on this trip: I took with me Human Compatible by Prof Stuart Russell: discussing how to solve the problem of controlling a future Artificial Intelligence. I've largely avoided the LLM hype cycle we're suffering through at the moment, and I have several big concerns about it (moral, legal, etc.), and felt it was time to try and make my concerns more well-formed and test them. This book has been a big help in doing so, although it doesn't touch on the issue of copyright, which is something I am particularly interested in at the moment.

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