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For more than a decade, the nonprofit Common Crawl "has been scraping billions of webpages to build a massive archive of the internet," notes the Atlantic, making it freely available for research. "In recent years, however, this archive has been put to a controversial purpose: AI companies including OpenAI, Google, Anthropic, Nvidia, Meta, and Amazon have used it to train large language models. "In the process, my reporting has found, Common Crawl has opened a back door for AI companies to train their models with paywalled articles from major news websites. And the foundation appears to be lying to publishers about this — as well as masking the actual contents of its archives..." Common Crawl's website states that it scrapes the internet for "freely available content" without "going behind any 'paywalls.'" Yet the organization has taken articles from major news websites that people normally have to pay for — allowing AI companies to train their LLMs on high-quality journalism for free. Meanwhile, Common Crawl's executive director, Rich Skrenta, has publicly made the case that AI models should be able to access anything on the internet. "The robots are people too," he told me, and should therefore be allowed to "read the books" for free. Multiple news publishers have requested that Common Crawl remove their articles to prevent exactly this use. Common Crawl says it complies with these requests. But my research shows that it does not. I've discovered that pages downloaded by Common Crawl have appeared in the training data of thousands of AI models. As Stefan Baack, a researcher formerly at Mozilla, has written, "Generative AI in its current form would probably not be possible without Common Crawl." In 2020, OpenAI used Common Crawl's archives to train GPT-3. OpenAI claimed that the program could generate "news articles which human evaluators have difficulty distinguishing from articles written by humans," and in 2022, an iteration on that model, GPT-3.5, became the basis for ChatGPT, kicking off the ongoing generative-AI boom. Many different AI companies are now using publishers' articles to train models that summarize and paraphrase the news, and are deploying those models in ways that steal readers from writers and publishers. Common Crawl maintains that it is doing nothing wrong. I spoke with Skrenta twice while reporting this story. During the second conversation, I asked him about the foundation archiving news articles even after publishers have asked it to stop. Skrenta told me that these publishers are making a mistake by excluding themselves from "Search 2.0" — referring to the generative-AI products now widely being used to find information online — and said that, anyway, it is the publishers that made their work available in the first place. "You shouldn't have put your content on the internet if you didn't want it to be on the internet," he said. Common Crawl doesn't log in to the websites it scrapes, but its scraper is immune to some of the paywall mechanisms used by news publishers. For example, on many news websites, you can briefly see the full text of any article before your web browser executes the paywall code that checks whether you're a subscriber and hides the content if you're not. Common Crawl's scraper never executes that code, so it gets the full articles. Thus, by my estimate, the foundation's archives contain millions of articles from news organizations around the world, including The Economist, the Los Angeles Times, The Wall Street Journal, The New York Times, The New Yorker, Harper's, and The Atlantic.... A search for nytimes.com in any crawl from 2013 through 2022 shows a "no captures" result, when in fact there are articles from NYTimes.com in most of these crawls. "In the past year, Common Crawl's CCBot has become the scraper most widely blocked by the top 1,000 websites," the article points out...

Read more of this story at Slashdot.

A CRISPR-based drug given to study participants by infusion is raising hopes for a much easier way to lower cholesterol, reports CNN: With a snip of a gene, doctors may one day permanently lower dangerously high cholesterol, possibly removing the need for medication, according to a new pilot study published Saturday in the New England Journal of Medicine. The study was extremely small — only 15 patients with severe disease — and was meant to test the safety of a new medication delivered by CRISPR-Cas9, a biological sort of scissor which cuts a targeted gene to modify or turn it on or off. Preliminary results, however, showed nearly a 50% reduction in low-density lipoprotein, or LDL, the "bad" cholesterol which plays a major role in heart disease — the No.1 killer of adults in the United States and worldwide. The study, which will be presented Saturday at the American Heart Association Scientific Sessions in New Orleans, also found an average 55% reduction in triglycerides, a different type of fat in the blood that is also linked to an increased risk of cardiovascular disease. "We hope this is a permanent solution, where younger people with severe disease can undergo a 'one and done' gene therapy and have reduced LDL and triglycerides for the rest of their lives," said senior study author Dr. Steven Nissen, chief academic officer of the Sydell and Arnold Miller Family Heart, Vascular & Thoracic Institute at Cleveland Clinic in Ohio.... Today, cardiologists want people with existing heart disease or those born with a predisposition for hard-to-control cholesterol to lower their LDL well below 100, which is the average in the US, said Dr. Pradeep Natarajan, director of preventive cardiology at Massachusetts General Hospital and associate professor of medicine at Harvard Medical School in Boston... People with a nonfunctioning ANGPTL3 gene — which Natarajan says applies to about 1 in 250 people in the US — have lifelong levels of low LDL cholesterol and triglycerides without any apparent negative consequences. They also have exceedingly low or no risk for cardiovascular disease. "It's a naturally occurring mutation that's protective against cardiovascular disease," said Nissen, who holds the Lewis and Patricia Dickey Chair in Cardiovascular Medicine at Cleveland Clinic. "And now that CRISPR is here, we have the ability to change other people's genes so they too can have this protection." "Phase 2 clinical trials will begin soon, quickly followed by Phase 3 trials, which are designed to show the effect of the drug on a larger population, Nissen said." And CNN quotes Nissen as saying "We hope to do all this by the end of next year. We're moving very fast because this is a huge unmet medical need — millions of people have these disorders and many of them are not on treatment or have stopped treatment for whatever reason."

Read more of this story at Slashdot.

A former Business Analyst reportedly filed a class action lawsuit claiming that for years, hundreds of remote employees at Bank of America first had to boot up complex computer systems before their paid work began, reports Human Resources Director magazine: Tava Martin, who worked both remotely and at the company's Jacksonville facility, says the financial institution required her and fellow hourly workers to log into multiple security systems, download spreadsheets, and connect to virtual private networks — all before the clock started ticking on their workday. The process wasn't quick. According to the filing in the United States District Court for the Western District of North Carolina, employees needed 15 to 30 minutes each morning just to get their systems running. When technical problems occurred, it took even longer... Workers turned on their computers, waited for Windows to load, grabbed their cell phones to request a security token for the company's VPN, waited for that token to arrive, logged into the network, opened required web applications with separate passwords, and downloaded the Excel files they needed for the day. Only then could they start taking calls from business customers about regulatory reporting requirements... The unpaid work didn't stop at startup. During unpaid lunch breaks, many systems would automatically disconnect or otherwise lose connection, forcing employees to repeat portions of the login process — approximately three to five minutes of uncompensated time on most days, sometimes longer when a complete reboot was required. After shifts ended, workers had to log out of all programs and shut down their computers securely, adding another two to three minutes. Thanks to Slashdot reader Joe_Dragon for sharing the article.

Read more of this story at Slashdot.

The Associated Press reports that "For the past decade, Dr. Priscilla Chan and her husband Mark Zuckerberg have focused part of their philanthropy on a lofty goal — 'to cure, prevent or manage all disease' — if not in their lifetime, then in their children's." During that decade they also funded other initiatives (including underprivileged schools and immigration reform), according to the article. But there's a change coming: Now, the billionaire couple is shifting the bulk of their philanthropic resources to Biohub, the pair's science organization, and focusing on using artificial intelligence to accelerate scientific discovery. The idea is to develop virtual, AI-based cell models to understand how they work in the human body, study inflammation and use AI to "harness the immune system" for disease detection, prevention and treatment. "I feel like the science work that we've done, the Biohub model in particular, has been the most impactful thing that we have done. So we want to really double down on that. Biohub is going to be the main focus of our philanthropy going forward," Zuckerberg said Wednesday evening at an event at the Biohub Imaging Institute in Redwood City, California.... Chan and Zuckerberg have pledged 99% of their lifetime wealth — from shares of Meta Platforms, where Zuckerberg is CEO — toward these efforts... On Thursday, Chan and Zuckerberg also announced that Biohub has hired the team at EvolutionaryScale, an AI research lab that has created large-scale AI systems for the life sciences... Biohub's ambition for the next years and decades is to create virtual cell systems that would not have been possible without recent advances in AI. Similar to how large language models learn from vast databases of digital books, online writings and other media, its researchers and scientists are working toward building virtual systems that serve as digital representations of human physiology on all levels, such as molecular, cellular or genome. As it is open source — free and publicly available — scientists can then conduct virtual experiments on a scale not possible in physical laboratories. "We will continue the model we've pioneered of bringing together scientists and engineers in our own state-of-the-art labs to build tools that advance the field," according to Thursday's blog post. "We'll then use those tools to generate new data sets for training new biological AI models to create virtual cells and immune systems and engineer our cells to detect and treat disease.... "We have also established the first large-scale GPU cluster for biological research, as well as the largest datasets around human cell types. This collection of resources does not exist anywhere else."

Read more of this story at Slashdot.

Long-time Slashdot reader AmiMoJo shared this report from Marine Insight: The world's largest cargo sailboat, Neoliner Origin, completed its first transatlantic voyage on 30 October despite damage to one of its sails during the journey. The 136-metre-long vessel had to rely partly on its auxiliary motor and its remaining sail after the aft sail was damaged in a storm shortly after departure... Neoline, the company behind the project, said the damage reduced the vessel's ability to perform fully on wind power... The Neoliner Origin is designed to reduce greenhouse gas emissions by 80 to 90 percent compared to conventional diesel-powered cargo ships. According to the United Nations Conference on Trade and Development (UNCTAD), global shipping produces about 3 percent of worldwide greenhouse gas emissions... The ship can carry up to 5,300 tonnes of cargo, including containers, vehicles, machinery, and specialised goods. It arrived in Baltimore carrying Renault vehicles, French liqueurs, machinery, and other products. The Neoliner Origin is scheduled to make monthly voyages between Europe and North America, maintaining a commercial cruising speed of around 11 knots.

Read more of this story at Slashdot.

"Internal documents have revealed that Meta has projected it earns billions from ignoring scam ads that its platforms then targeted to users most likely to click on them," writes Ars Technica, citing a lengthy report from Reuters. Reuters reports that Meta "for at least three years failed to identify and stop an avalanche of ads that exposed Facebook, Instagram and WhatsApp's billions of users to fraudulent e-commerce and investment schemes, illegal online casinos, and the sale of banned medical products..." On average, one December 2024 document notes, the company shows its platforms' users an estimated 15 billion "higher risk" scam advertisements — those that show clear signs of being fraudulent — every day. Meta earns about $7 billion in annualized revenue from this category of scam ads each year, another late 2024 document states. Much of the fraud came from marketers acting suspiciously enough to be flagged by Meta's internal warning systems. But the company only bans advertisers if its automated systems predict the marketers are at least 95% certain to be committing fraud, the documents show. If the company is less certain — but still believes the advertiser is a likely scammer — Meta charges higher ad rates as a penalty, according to the documents. The idea is to dissuade suspect advertisers from placing ads. The documents further note that users who click on scam ads are likely to see more of them because of Meta's ad-personalization system, which tries to deliver ads based on a user's interests... The documents indicate that Meta's own research suggests its products have become a pillar of the global fraud economy. A May 2025 presentation by its safety staff estimated that the company's platforms were involved in a third of all successful scams in the U.S. Meta also acknowledged in other internal documents that some of its main competitors were doing a better job at weeding out fraud on their platforms... The documents note that Meta plans to try to cut the share of Facebook and Instagram revenue derived from scam ads. In the meantime, Meta has internally acknowledged that regulatory fines for scam ads are certain, and anticipates penalties of up to $1 billion, according to one internal document. But those fines would be much smaller than Meta's revenue from scam ads, a separate document from November 2024 states. Every six months, Meta earns $3.5 billion from just the portion of scam ads that "present higher legal risk," the document says, such as those falsely claiming to represent a consumer brand or public figure or demonstrating other signs of deceit. That figure almost certainly exceeds "the cost of any regulatory settlement involving scam ads...." A planning document for the first half of 2023 notes that everyone who worked on the team handling advertiser concerns about brand-rights issues had been laid off. The company was also devoting resources so heavily to virtual reality and AI that safety staffers were ordered to restrict their use of Meta's computing resources. They were instructed merely to "keep the lights on...." Meta also was ignoring the vast majority of user reports of scams, a document from 2023 indicates. By that year, safety staffers estimated that Facebook and Instagram users each week were filing about 100,000 valid reports of fraudsters messaging them, the document says. But Meta ignored or incorrectly rejected 96% of them. Meta's safety staff resolved to do better. In the future, the company hoped to dismiss no more than 75% of valid scam reports, according to another 2023 document. A small advertiser would have to get flagged for promoting financial fraud at least eight times before Meta blocked it, a 2024 document states. Some bigger spenders — known as "High Value Accounts" — could accrue more than 500 strikes without Meta shutting them down, other documents say. Thanks to long-time Slashdot reader schwit1 for sharing the article.

Read more of this story at Slashdot.

The M8 has extensive USB audio and MIDI capabilities, but it cannot be a USB MIDI host. So you can control other devices through USB MIDI, but cannot sent to it over USB.

Control Surface & Pots for M8

Controlling things via USB devices has to be done through the old TRS (A) jacks. There’s two devices that can aid in that. I’ve used the RK06 which is very featureful, but in a very clumsy plastic case and USB micro cable that has a splitter for the HOST part and USB Power in. It also sometimes doesn’t reset properly when having multiple USB devices attached through a hub. The last bit is why I even bother with this setup.

The Dirtywave M8 has amazing support for the Novation Launchpad Pro MK3. Majority of peolpe hook it up directly to the M8 using the TRS MIDI cables. The Launchpad lacks any sort of pots or encoders though. Thus the need to fuss with USB dongles. What you need is to use the Launchpad Pro as a USB controller and shun at the reliable MIDI connection. The RK06 allows to combine multiple USB devices attached through an unpowered USB hub. Because I am flabbergasted how I did things here’s a schema that works.

If it doesn’t work, unplug the RK06 and turn LPPro off and on in the M8. I hate this setup but it is the only compact one that works (after some fiddling that you absolutely hate when doing a gig).

Intech Knot

The Hungarians behind the Grid USB controlles (with first class Linux support) have a USB>MIDI device called Knot. It has one great feature of a switch between TRS A/B for the non-standard devices.

It is way less fiddly than the RK06, uses nice aluminium housing and is sturdier. Hoewer it doesn’t seem to work with the Launchpad Pro via USB and it seems to be completely confused by a USB hub, so it’s not useful for my use case of multiple USB controllers.

Non-compact but Reliable

Novation came out with the Launch Control XL, which sadly replaced pots in the old one with encoders (absolute vs relative movement), but added midi in/ou/through with a MIDI mixer even. That way you can avoid USB altogether and get a reliable setup with control surfaces and encoders and sliders.

One day someone comes up with a compact midi capable pots to play along with Launchpad Pro ;) This post has been brought to you by an old man who forgets things.

Sandboxed, reviewed parallel agents make sense

For coding and software engineering, I’ve used and experimented with various frontends (FOSS and proprietary) to multiple foundation models (mostly proprietary) trying to keep up with the state of the art. I’ve come to strongly believe in a few things:

• Agentic AI for coding needs strongly sandboxed, reproducible environments
• It makes sense to run multiple agents at once
• AI output definitely needs human review

Why human review is necessary Prompt injection is a serious risk at scale

All AI is at risk of prompt injection to some degree, but it’s particularly dangerous with agentic coding. All the state of the art today knows how to do is mitigate it at best. I don’t think it’s a reason to avoid AI, but it’s one of the top reasons to use AI thoughtfully and carefully for products that have any level of criticality.

OpenAI’s Codex documentation has a simple and good example of this.

Disabling the tests and claiming success

Beyond that, I’ve experienced multiple times different models happily disabling the tests or adding a println!("TODO add testing here") and claim success. At least this one is easier to mitigate with a second agent doing code review before it gets to human review.

Sandboxing

The “can I do X” prompting model that various interfaces default to is seriously flawed. Anthropic has a recent blog post on Claude Code changes in this area.

My take here is that sandboxing is only part of the problem; the other part is ensuring the agent has a reproducible environment, and especially one that can be run in IaaS environments. I think devcontainers are a good fit.

I don’t agree with the statement from Anthropic’s blog

without the overhead of spinning up and managing a container.

I don’t think this is overhead for most projects because Where it feels like it has overhead, we should be working to mitigate it.

Running code as separate login users

In fact, one thing I think we should popularize more on Linux is the concept of running multiple unprivileged login users. Personally for the tasks I work on, it often involves building containers or launching local VMs, and isolating that works really well with a full separate “user” identity. An experiment I did was basically useradd ai and running delegated tasks there instead. To log in I added %wheel ALL=NOPASSWD: /usr/bin/machinectl shell ai@ to /etc/sudoers.d/ai-login so that my regular human user could easily get a shell in the ai user’s context.

I haven’t truly “operationalized” this one as juggling separate git repository clones was a bit painful, but I think I could automate it more. I’m interested in hearing from folks who are doing something similar.

Parallel, IaaS-ready agents…with review

I’m today often running 2-3 agents in parallel on different tasks (with different levels of success, but that’s its own story).

It makes total sense to support delegating some of these agents to work off my local system and into cloud infrastructure.

In looking around in this space, there’s quite a lot of stuff. One of them is Ona (formerly Gitpod). I gave it a quick try and I like where they’re going, but more on this below.

Github Copilot can also do something similar to this, but what I don’t like about it is that it pushes a model where all of one’s interaction is in the PR. That’s going to be seriously noisy for some repositories, and interaction with LLMs can feel too “personal” sometimes to have permanently recorded.

Credentials should be on demand and fine grained for tasks

To me a huge flaw with Ona and one shared with other things like Langchain Open-SWE is basically this:

Sorry but: no way I’m clicking OK on that button. I need a strong and clearly delineated barrier between tooling/AI agents acting “as me” and my ability to approve and push code or even do basic things like edit existing pull requests.

Github’s Copilot gets this more right because its bot runs as a distinct identity. I haven’t dug into what it’s authorized to do. I may play with it more, but I also want to use agents outside of Github and I also am not a fan of deepening dependence on a single proprietary forge either.

So I think a key thing agent frontends should help do here is in granting fine-grained ephemeral credentials for dedicated write access as an agent is working on a task. This “credential handling” should be a clearly distinct component. (This goes beyond just git forges of course but also other issue trackers or data sources that may be in context).

Conclusion

There’s so much out there on this, I can barely keep track while trying to do my real job. I’m sure I’m not alone – but I’m interested in other’s thoughts on this!

Good morning!

I spent some time figuring out why my build PC was running so slowly today. Thanks to some help from my very smart colleagues I came up with this testcase in Nushell to measure CPU performance:

~: dd if=/dev/random of=./test.in bs=(1024 * 1024) count=10 10+0 records in 10+0 records out 10485760 bytes (10 MB, 10 MiB) copied, 0.0111184 s, 943 MB/s ~: time bzip2 test.in 0.55user 0.00system 0:00.55elapsed 99%CPU (0avgtext+0avgdata 8044maxresident)k 112inputs+20576outputs (0major+1706minor)pagefaults 0swap

We are copying 10MB of random data into a file and compressing it with bzip2. 0.55 seconds is a pretty good time to compress 10MB of data with bzip2.

But! As soon as I ran a virtual machine, this same test started to take 4 or 5 seconds, both on the host and in the virtual machine.

There is already a new Fedora kernel available and with that version (6.17.4-200.fc42.x86_64) I don’t see any problems. I guess some issue affecting AMD Ryzen virtualization that got fixed already.

Have a fun day!

edit: The problem came back with the new kernel as well. I guess this not going to be a fun day.

A couple of months ago I shared that I was looking for what was next for me, and I’m thrilled to report that I’ve found it: I’m joining ROOST as OSS Community Manager!

What is ROOST?

I’ll let our website do most of the talking, but I can add some context based on my conversations with the rest of the incredible ROOSTers over the past few weeks. In a nutshell, ROOST is a relatively new nonprofit focused on building, distributing, and maintaining the open source building blocks for online trust and safety. It was founded by tech industry veterans who saw the need for truly open source tools in the space, and were sick of rebuilding the exact same internal tools across multiple orgs and teams.

The way I like to frame it is how you wouldn’t roll your own encryption; why would you roll your own trust and safety tooling? It turns out that currently every platform, service, and community has to reinvent all of the hard work to ensure people are safe and harmful content doesn’t spread. ROOST is teaming up with industry partners to release existing trust and safety tooling as open source and to build the missing pieces together, in the open. The result is that teams will no longer have to start from scratch and take on all of the effort (and risk!) of rolling their own trust and safety tools; instead, they can reach for the open source projects from ROOST to integrate into their own products and systems. And we know open source is the right approach for critical tooling: the tools themselves must be transparent and auditable, while organizations can customize and even help improve this suite of online safety tools to benefit everyone.

This Platformer article does a great job of digging into more detail; give it a read. :) Oh, and why the baby chick? ROOST has a habit of naming things after birds—and I’m a baby ROOSTer. :D

What is trust and safety?

I’ve used the term “trust and safety” a ton in this post; I’m no expert (I’m rapidly learning!), but think about protecting users from harm including unwanted sexual content, misinformation, violent/extremist content, etc. It’s a field that’s much larger in scope and scale than most people probably realize, and is becoming ever more important as it becomes easier to generate massive amounts of text and graphic content using LLMs and related generative “AI” technologies. Add in that those generative technologies are largely trained using opaque data sources that can themselves include harmful content, and you can imagine how we’re at a flash point for trust and safety; robust open online safety tools like those that ROOST is helping to build and maintain are needed more than ever.

What I’ll be doing

My role is officially “OSS Community Manager,” but “community manager” can mean ten different things to ten different people (which is why people in the role often don’t survive long at a company…). At ROOST, I feel like the team knows exactly what they need me to do—and importantly, they have a nice onramp and initial roadmap for me to take on! My work will mostly focus on building and supporting an active and sustainable contributor community around our tools, as well as helping improve the discourse and understanding of open source in the trust and safety world. It’s an exciting challenge to take on with an amazing team from ROOST as well as partner organizations.

My work with GNOME

I’ll continue to serve on the GNOME Foundation board of directors and contribute to both GNOME and Flathub as much as I can; there may be a bit of a transition time as I get settled into this role, but my open source contributions—both to trust and safety and the desktop Linux world—are super important to me. I’ll see you around!

Work pressure + Burnout == Low contributions?

Over the past few months, I’ve been struggling with a tough question. How do I balance my work commitments and personal life while still contributing to open source?

On the surface, it looks like a weird question. Like I really enjoy contributing and working with contributors, and when I was in college, I always thought... "Why do people ever step back? It is so fun!". It was the thing that brought a smile to my face and took off any "stress". But now that I have graduated, things have taken a turn.

It is now that when work pressure mounts, you use the little time you get to not focus on writing code and instead perform some kind of hobby, learn something new or spend time with family. Or, just endless video scroll and sleep.

This has led me to be on my lowest contributions streak and not able to work on all those cool things I imagined, like reworking the Pitivi timeline in Rust, finishing that one MR in GNOME Settings that is stuck for ages, or fixing some issues in GNOME Extensions website, or work on my own extension's feature request, or contributing to the committees I am a part of.

It’s reached a point where I’m genuinely unsure how to balance things anymore, and hence wanted to give all whom I might not have been able to reply to or have not seen me for a long time an update, that I'm there but just in a dilemma of how to return.

I believe I'm not the only one who faces this. After guiding my juniors for a long while on how to contribute and study at the same time and still manage time for other things, I now am at a road where I am in the same situation. So, if anyone has any insights on how they manage their time, or keep up the motivation and juggle between tasks, do let me know (akaushik [at] gnome [dot] org), I'd really appreciate any insights :)

One of them would probably be to take fewer things on my plate?

Perhaps this is just a new phase of learning? Not about code, but about balance.

tl;dr: Flathub has improved tooling to make license compliance easier for developers. Distros should rebuild OS images with updated runtimes from Flathub; app developers should ensure they're using up-to-date runtimes and verify that licenses and copyright notices are properly included.

In early August, a concerned community member brought to our attention that copyright notices and license files were being omitted when software was bundled as Flatpaks and distributed via Flathub. This was a genuine oversight across multiple projects, and we're glad we've been able to take the opportunity to correct and improve this for runtimes and apps across the Flatpak ecosystem.

Over the past few months, we've been working to enhance our tooling and infrastructure to better support license compliance. With the support of the Flatpak, freedesktop-sdk, GNOME, and KDE teams, we've developed and deployed significant improvements that make it easier than ever for developers to ensure their applications properly include license and copyright notices.

What's New​

In coordination with maintainers of the freedesktop-sdk, GNOME, and KDE runtimes, we've implemented enhanced license handling that automatically includes license and copyright notice files in the runtimes themselves, deduplicated to be as space-efficient as possible. This improvement has been applied to all supported freedesktop-sdk, GNOME, and KDE runtimes, plus backported to freedesktop-sdk 22.08 and newer, GNOME 45 and newer, KDE 5.15-22.08 and newer, and KDE 6.6 and newer. These updated runtimes cover over 90% of apps on Flathub and have already rolled out to users as regular Flatpak updates.

We've also worked with the Flatpak developers to add new functionality to flatpak-builder 1.4.5 that automatically recognizes and includes common license files. This enhancement, now deployed to the Flathub build service, helps ensure apps' own licenses as well as the licenses of any bundled libraries are retained and shipped to users along with the app itself.

These improvements represent an important milestone in the maturity of the Flatpak ecosystem, making license compliance easier and more automatic for the entire community.

Recommended Actions​ App Developers​

We encourage you to rebuild your apps with flatpak-builder 1.4.5 or newer to take advantage of the new automatic license detection. You can verify that license and copyright notices are properly included in your Flatpak's /app/share/licenses, both for your app and any included dependencies. In most cases, simply rebuilding your app will automatically include the necessary licenses, but you can also fine-tune which license files are included using the license-files key in your app's Flatpak manifest if needed.

For apps with binary sources (e.g. debs or rpms), we encourage app maintainers to explicitly include relevant license files in the Flatpak itself for consistency and auditability.

End-of-life runtime transition: To focus our resources on maintaining high-quality, up-to-date runtimes, we'll be completing the removal of several end-of-life runtimes in January 2026. Apps using runtimes older than freedesktop-sdk 22.08, GNOME 45, KDE 5.15-22.08 or KDE 6.6 will be marked as EOL shortly. Once these older runtimes are removed, the apps will need to be updated to use a supported runtime to remain available on Flathub. While this won't affect existing app installations, after this date, new users will be unable to install these apps from Flathub until they're rebuilt against a current runtime. Flatpak manifests of any affected apps will remain on the Flathub GitHub organization to enable developers to update them at any time.

If your app currently targets an end-of-life runtime that did receive the backported license improvements, we still strongly encourage you to upgrade to a newer, supported runtime to benefit from ongoing security updates and platform improvements.

Distributors​

If you redistribute binaries from Flathub, such as pre-installed runtimes or apps, you should rebuild your distributed images (ISOs, containers, etc.) with the updated runtimes and apps from Flathub. You can verify that appropriate licenses are included with the Flatpaks in the runtime filesystem at /usr/share/licenses inside each runtime.

Get in Touch​

App developers, distributors, and community members are encouraged to connect with the team and other members of the community in our Discourse forum and Matrix chat room. If you are an app developer or distributor and have any questions or concerns, you may also reach out to us at admins@flathub.org.

Thank You!​

We are grateful to Jef Spaleta from Fedora for his care and confidentiality in bringing this to our attention and working with us collaboratively throughout the process. Special thanks to Boudhayan Bhattcharya (bbhtt) for his tireless work across Flathub, Flatpak and freedesktop-sdk, on this as well as many other important areas. And thank you to Abderrahim Kitouni (akitouni), Adrian Vovk (AdrianVovk), Aleix Pol Gonzalez (apol), Bart Piotrowski (barthalion), Ben Cooksley (bcooksley), Javier Jardón (jjardon), Jordan Petridis (alatiera), Matthias Clasen (matthiasc), Rob McQueen (ramcq), Sebastian Wick (swick), Timothée Ravier (travier), and any others behind the scenes for their hard work and timely collaboration across multiple projects to deliver these improvements.

Our Linux app ecosystem is truly strongest when individuals from across companies and projects come together to collaborate and work towards shared goals. We look forward to continuing to work together to ensure app developers can easily ship their apps to users across all Linux distributions and desktop environments. ♥

Time for another GNOME Crosswords release! This one highlights the features our interns did this past summer. We had three fabulous interns — two through GSoC and one through Outreachy. While this release really only has three big features — one from each — they were all fantastic.

Thanks goes to to my fellow GSoC mentors Federico and Tanmay. In addition, Tilda and the folks at Outreachy were extremely helpful. Mentorship is a lot of work, but it’s also super-rewarding. If you’re interested in participating as a mentor in the future and have any questions about the process, let me know. I’ll be happy to speak with you about them.

Dictionary pipeline improvements

First, our Outreachy intern Nancy spent the summer improving the build pipeline to generate the internal dictionaries we use. These dictionaries are used to provide autofill capabilities and add definitions to the Editor, as well as providing near-instant completions for both the Editor and Player. The old pipeline was buggy and hard to maintain. Once we had a cleaned it up, Nancy was able to use it to effortlessly produce a dictionary in her native tongue: Swahili.

A Grid in swahili

We have no distribution story yet, but it’s exciting to have it so much easier to create dictionaries in other languages. It opens the door to the Editor being more universally useful (and fulfills a core GNOME tenet).

You can read about it more details in Nancy’s final report.

Word List

Victor did a ton of research for Crosswords, almost acting like a Product Manager. He installed every crossword editor he could find and did a competitive analysis, noting possible areas for improvement. One of the areas he flagged was the word list in our editor. This list suggests words that could be used in a given spot in the grid. We started with a simplistic implementation that listed every possible word in our dictionary that could fit. This approach— while fast — provided a lot of dead words that would make the grid unsolvable. So he set about trying to narrow down that list.

New Word List showing possible options

It turns out that there’s a lot of tradeoffs to be made here (Victor’s post). It’s possible to find a really good set of words, at the cost of a lot of computational power. A much simpler list is quick but has dead words. In the end, we found a happy medium that let us get results fast and had a stable list across a clue. He’ll be blogging about this shortly.

Victor also cleaned up our development docs, and researched satsolve algorithms for the grid. He’s working on a lovely doc on the AC-3 algorithm, and we can use it to add additional functionality to the editor in the future.

Printing

Toluwaleke implemented printing support for GNOME Crosswords.

This was a tour de force, and a phenomenal addition to the Crosswords codebase. When I proposed it for a GSoC project, I had no idea how much work this project could involve. We already had code to produce an svg of the grid — I thought that we could just quickly add support for the clues and call it a day. Instead, we ended up going on a wild ride resulting in a significantly stronger feature and code base than we had going in.

His blog has more detail and it’s really quite cool (go read it!). But from my perspective, we ended up with a flexible and fast rendering system that can be used in a lot more places. Take a look:

https://blogs.gnome.org/jrb/files/2025/10/output_video.webm

The resulting PDFs are really high quality — they seem to look better than some of the newspaper puzzles I’ve seen. We’ll keep tweaking them as there are still a lot of improvements we’d like to add, such as taking the High Contrast / Large Text A11Y options into account. But it’s a tremendous basis for future work.

Increased Polish

There were a few other small things that happened

• I hooked Crosswords up to Damned Lies. This led to an increase in our translation quality and count
• This included a Polish translation, which came with a new downloader!
• I ported all the dialogs to AdwDialog, and moved on from (most) of the deprecated Gtk4 widgets
• A lot of code cleanups and small fixes

Now that these big changes have landed, it’s time to go back to working on the rest of the changes proposed for GNOME Circle.

Until next time, happy puzzling!

A few months ago, I introduced my GSoC project: Adding Printing Support to GNOME Crosswords. Since June, I’ve been working hard on it, and I’m happy to share that printing puzzles is finally possible!

The Result

GNOME Crosswords now includes a Print option in its menu, which opens the system’s print dialog. After adjusting printer settings and page setup, the user is shown a preview dialog with a few crossword-specific options, such as ink-saving mode and whether (and how) to include the solution. The options are intentionally minimal, keeping the focus on a clean and straightforward printing experience.

Below is a short clip showing the feature in action:

The resulting file: output.pdf

Crosswords now also ships with a standalone command-line tool, ipuz2pdf, which converts any IPUZ puzzle file into a print-ready PDF. It offers a similarly minimal set of layout and crossword-specific options.

The Process

• Studied and profiled the existing code and came up with an overall approach for the project.
• Built a new grid rendering framework, resulting in a 10× speedup in rendering. Dealt with a ton of details around text placement and rendering, colouring, shapes, and more.
• Designed and implemented a print layout engine with a templating system, adjusted to work with different puzzle kinds, grid sizes, and paper sizes.
• Integrated the layout engine with the print dialog and added a live print preview.
• Bonus: Created ipuz2pdf, a standalone command-line utility (originally for testing) that converts an IPUZ file into a printable PDF.

The Challenges

Working on a feature of this scale came with plenty of challenges. Getting familiar with a large codebase took patience, and understanding how everything fit together often meant careful study and experimentation. Balancing ideas with the project timeline and navigating code reviews pushed me to grow both technically and collaboratively.

On the technical side, rendering and layout had their own hurdles. Handling text metrics, scaling, and coordinate transformations required a mix of technical knowledge, critical thinking, and experimentation. Even small visual glitches could lead to hours of debugging. One notably difficult part was implementing the box layout system that powers the dynamic print layout engine.

The Lessons

This project taught me a lot about patience, focus, and iteration. I learned to approach large problems by breaking them into small, testable pieces, and to value clarity and simplicity in both code and design. Code reviews taught me to communicate ideas better, accept feedback gracefully, and appreciate different perspectives on problem-solving.

On the technical side, working with rendering and layout systems deepened my understanding of graphics programming. I also learned how small design choices can ripple through an entire codebase, and how careful abstraction and modularity can make complex systems easier to evolve.

Above all, I learned the value of collaboration, and that progress in open source often comes from many small, consistent improvements rather than big leaps.

The Conclusion

In the end, I achieved all the goals set out for the project, and even more. It was a long and taxing journey, but absolutely worth it.

The Gratitude

I’m deeply grateful to my mentors, Jonathan Blandford and Federico Mena Quintero, for their guidance, patience, and support throughout this project. I’ve learned so much from working with them. I’m also grateful to the GNOME community and Google Summer of Code for making this opportunity possible and for creating such a welcoming environment for new contributors.

What Comes After

No project is ever truly finished, and this one is no exception. There’s still plenty to be done, and some already have tracking issues. I plan to keep improving the printing system and related features in GNOME Crosswords.

I also hope to stay involved in the GNOME ecosystem and open-source development in general. I’m especially interested in projects that combine design, performance, and system-level programming. More importantly, I’m a recent CS graduate looking for a full-time role in the field of interest stated earlier. If you have or know of any opportunities, please reach out at feyidab01@gmail.com.

Finally, I plan to write a couple of follow-up posts diving into interesting parts of the process in more detail. Stay tuned!

Thank you!

I have just released CapyPDF 1.8. It's mostly minor fixes and tweaks but there are two notable things. The first one is that CapyPDF now supports variable axis fonts. The other one is that CapyPDF will now produce PDF version 2.0 files instead of 1.7 by default. This might seem like a big leap but really isn't. PDF 2.0 is pretty much the same as 1.7, just with documentation updates and deprecating (but not removing) a bunch of things. People using PDF have a tendency to be quite conservative in their versions, but PDF 2.0 has been out since 2017 with most of it being PDF 1.7 from 2008.

It is still possible to create version with older PDF specs. If you specify, say, PDF/X3, CapyPDF will output PDF 1.3 as the spec requires that version and no other even though, for example, Adobe's PDF tools accept PDF/X3 whose version later than 1.3.

The PDF specification is currently undergoing major changes and future versions are expected to have backwards incompatible features such as HDR imaging. But 2.0 does not have those yet.

Things CapyPDF supports

CapyPDF has implemented a fair chunk of the various PDF specs:

• All paint and text operations
• Color management
• Optional content groups
• PDF/X and PDF/A support
• Tagged PDF (i.e. document structure and semantic information)
• TTF, OTF, TTC and CFF fonts
• Forms (preliminary)
• Annotations
• File attachments
• Outlines
• Page naming

In theory this should be enough to support things like XRechnung and documents with full accessibility information as per PDF/UA. These have not been actually tested as I don't have personal experience in German electronic invoicing or document accessibility.

Laravel Mix “Unable to Locate Mix File” Error: Causes and Fixes

If you’re working with Laravel and using Laravel Mix to manage your CSS and JavaScript assets, you may have come across an error like this:

Spatie\LaravelIgnition\Exceptions\ViewException Message: Unable to locate Mix file: /assets/vendor/css/rtl/core.css

Or in some cases:

Illuminate\Foundation\MixFileNotFoundException Unable to locate Mix file: /assets/vendor/fonts/boxicons.css

This error can be frustrating, especially when your project works perfectly on one machine but fails on another. Let’s break down what’s happening and how to solve it.

What Causes This Error?

Laravel Mix is a wrapper around Webpack, designed to compile your resources/ assets (CSS, JS, images) into the public/ directory. The mix() helper in Blade templates references these compiled assets using a special file: mix-manifest.json.

This error occurs when Laravel cannot find the compiled asset. Common reasons include:

1. Assets are not compiled yet
   If you’ve just cloned a project, the public/assets folder might be empty. Laravel is looking for files that do not exist yet.
2. mix-manifest.json is missing or outdated
   This file maps original asset paths to compiled paths. If it’s missing, Laravel Mix won’t know where to find your assets.
3. Incorrect paths in Blade templates
   If your code is like: <link rel="stylesheet" href="{{ asset(mix('assets/vendor/css/rtl/core.css')) }}" /> but the RTL folder or the file doesn’t exist, Mix will throw an exception.
4. Wrong configuration
   Some themes use variables like $configData['rtlSupport'] to toggle right-to-left CSS. If it’s set incorrectly, Laravel will try to load files that don’t exist.

How to Fix It

Here’s a step-by-step solution:

1. Install NPM dependencies

Make sure you have Node.js installed, then run:

npm install 2. Compile your assets

• Development mode (fast, unminified):

npm run dev

• Production mode (optimized, minified):

npm run build

This will generate your CSS and JS files in the public folder and update mix-manifest.json.

3. Check mix-manifest.json

Ensure the manifest contains the file Laravel is looking for:

"/assets/vendor/css/rtl/core.css": "/assets/vendor/css/rtl/core.css" 4. Adjust Blade template paths

If you don’t use RTL, you can set:

$configData['rtlSupport'] = '';

so the code doesn’t try to load /rtl/core.css unnecessarily.

5. Clear caches

Laravel may cache old views and configs. Clear them:

php artisan view:clear php artisan config:clear php artisan cache:clear Pro Tips

• Always check if the file exists in public/assets/... after compiling.
• If you move your project to another machine or server, you must run npm install and npm run dev again.
• For production, make sure your server has Node.js and NPM installed, otherwise Laravel Mix cannot build the assets.

Conclusion

The “Unable to locate Mix file” error is not a bug in Laravel, but a result of missing compiled assets or misconfigured paths. Once you:

1. Install dependencies.
2. Compile assets,
3. Correct Blade paths, and
4. Clear caches; your Laravel project should load CSS and JS files without issues.

As a follow up of the Hackweek 24 project, I've continued working on the gnome-tour fork for openSUSE with custom pages to replace the welcome application for openSUSE distributions.

GNOME Tour modifications

All the modifications are on top of upstream gnome-tour and stored in the openSUSE/gnome-tour repo

• Custom initial page

• A new donations page. In openSUSE we remove the popup from GNOME shell for donations, so it's fair to add it in this place.

• Last page with custom openSUSE links, this one is the used for opensuse-welcome app.

opensuse-welcome package

The original opensuse-welcome is a qt application, and this one is used for all desktop environments, but it's more or less unmaintained and looking for a replacement, we can use the gnome-tour fork as the default welcome app for all desktop without a custom app.

To do a minimal desktop agnostic opensuse-welcome application, I've modified the gnome-tour to also generate a second binary but just with the last page.

The new opensuse-welcome rpm package is built as a subpackage of gnome-tour. This new application is minimal and it doesn't have lots of requirements, but as it's a gtk4 application, it requires gtk and libadwaita, and also depends on gnome-tour-data to get the resoures of the app.

To improve this welcome app we need to review the translations, because I added three new pages to the gnome-tour and that specific pages are not translated, so I should regenerate the .po files for all languages and upload to openSUSE Weblate for translations.

AWS had an outage today and Signal was unavailable for some users for a while. This has confused some people, including Elon Musk, who are concerned that having a dependency on AWS means that Signal could somehow be compromised by anyone with sufficient influence over AWS (it can't). Which means we're back to the richest man in the world recommending his own "X Chat", saying The messages are fully encrypted with no advertising hooks or strange “AWS dependencies” such that I can’t read your messages even if someone put a gun to my head.

Elon is either uninformed about his own product, lying, or both.

As I wrote back in June, X Chat genuinely end-to-end encrypted, but ownership of the keys is complicated. The encryption key is stored using the Juicebox protocol, sharded between multiple backends. Two of these are asserted to be HSM backed - a discussion of the commissioning ceremony was recently posted here. I have not watched the almost 7 hours of video to verify that this was performed correctly, and I also haven't been able to verify that the public keys included in the post were the keys generated during the ceremony, although that may be down to me just not finding the appropriate point in the video (sorry, Twitter's video hosting doesn't appear to have any skip feature and would frequently just sit spinning if I tried to seek to far and I should probably just download them and figure it out but I'm not doing that now). With enough effort it would probably also have been possible to fake the entire thing - I have no reason to believe that this has happened, but it's not externally verifiable.

But let's assume these published public keys are legitimately the ones used in the HSM Juicebox realms[1] and that everything was done correctly. Does that prevent Elon from obtaining your key and decrypting your messages? No.

On startup, the X Chat client makes an API call called GetPublicKeysResult, and the public keys of the realms are returned. Right now when I make that call I get the public keys listed above, so there's at least some indication that I'm going to be communicating with actual HSMs. But what if that API call returned different keys? Could Elon stick a proxy in front of the HSMs and grab a cleartext portion of the key shards? Yes, he absolutely could, and then he'd be able to decrypt your messages.

(I will accept that there is a plausible argument that Elon is telling the truth in that even if you held a gun to his head he's not smart enough to be able to do this himself, but that'd be true even if there were no security whatsoever, so it still says nothing about the security of his product)

The solution to this is remote attestation - a process where the device you're speaking to proves its identity to you. In theory the endpoint could attest that it's an HSM running this specific code, and we could look at the Juicebox repo and verify that it's that code and hasn't been tampered with, and then we'd know that our communication channel was secure. Elon hasn't done that, despite it being table stakes for this sort of thing (Signal uses remote attestation to verify the enclave code used for private contact discovery, for instance, which ensures that the client will refuse to hand over any data until it's verified the identity and state of the enclave). There's no excuse whatsoever to build a new end-to-end encrypted messenger which relies on a network service for security without providing a trustworthy mechanism to verify you're speaking to the real service.

We know how to do this properly. We have done for years. Launching without it is unforgivable.

[1] There are three Juicebox realms overall, one of which doesn't appear to use HSMs, but you need at least two in order to obtain the key so at least part of the key will always be held in HSMs

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Deploying a Simple HTML Project on Linode Using Nginx: My Journey and Lessons Learned

Deploying web projects can seem intimidating at first, especially when working with a remote server like Linode. Recently, I decided to deploy a simple HTML project (index.html) on a Linode server using Nginx. Here’s a detailed account of the steps I took, the challenges I faced, and the solutions I applied.

Step 1: Accessing the Linode Server

The first step was to connect to my Linode server via SSH:

ssh root@<your-linode-ip>

Initially, I encountered a timeout issue, which reminded me to check network settings and ensure SSH access was enabled for my Linode instance. Once connected, I had access to the server terminal and could manage files and services.

Step 2: Preparing the Project

My project was simple—it only contained an index.html file. I uploaded it to the server under:

/var/www/hng13-stage0-devops

I verified the project folder structure with:

ls -l /var/www/hng13-stage0-devops

Since there was no public folder or PHP files, I knew I needed to adjust the Nginx configuration to serve directly from this folder.

Step 3: Setting Up Nginx

I opened the Nginx configuration for my site:

sudo nano /etc/nginx/sites-available/hng13

Initially, I mistakenly pointed root to a non-existent folder (public), which caused a 404 Not Found error. The correct configuration looked like this:

server { listen 80; server_name <your_linode-ip>; root /var/www/hng13-stage0-devops; # points to folder containing index.html index index.html index.htm; location / { try_files $uri $uri/ =404; } } Step 4: Enabling the Site and Testing

After creating the configuration file, I enabled the site:

sudo ln -s /etc/nginx/sites-available/hng13 /etc/nginx/sites-enabled/

I also removed the default site to avoid conflicts:

sudo rm /etc/nginx/sites-enabled/default

Then I tested the configuration:

sudo nginx -t

If the syntax was OK, I reloaded Nginx:

sudo systemctl reload nginx Step 5: Checking Permissions

Nginx must have access to the project files. I ensured the correct permissions:

sudo chown -R www-data:www-data /var/www/hng13-stage0-devops sudo chmod -R 755 /var/www/hng13-stage0-devops Step 6: Viewing the Site

Finally, I opened my browser and navigated to

http://<your-linode-ip>

And there it was—my index.html page served perfectly via Nginx.

Challenges and Lessons Learned

1. Nginx server_name Error
   • Error: "server_name" directive is not allowed here
   • Lesson: Always place server_name inside a server { ... } block.
2. 404 Not Found
   • Cause: Nginx was pointing to a public folder that didn’t exist.
   • Solution: Update root to the folder containing index.html.
3. Permissions Issues
   • Nginx could not read files initially.
   • Solution: Ensure ownership by www-data and proper read/execute permissions.
4. SSH Timeout / Connection Issues
   • Double-check firewall rules and Linode network settings.

Key Takeaways

• For static HTML projects, Nginx is simple and effective.
• Always check the root folder matches your project structure.
• Testing the Nginx config (nginx -t) before reload saves headaches.
• Proper permissions are crucial for serving files correctly.

Deploying my project was a learning experience. Even small mistakes like pointing to the wrong folder or placing directives in the wrong context can break the site—but step-by-step debugging and understanding the errors helped me fix everything quickly.This has kick started my devOps journey and I truly loved the challenge

Greetings readers. I’m writing to you from a hotel room in Manchester which I’m currently sharing with a variant of COVID 19. We are listening to disco funk music.

This virus prevents me from working or socializing, but I at least I have time to do some cyber-janitorial tasks like updating my “dotfiles” (which holds configuration for all the programs i use on Linux, stored in Git… for those who aren’t yet converts).

I also caught up with some big upcoming changes in the GNOME 50 release cycle — more on that below.

nvim

I picked up Vim as my text editor ten years ago while working on a very boring project. This article by Jon Beltran de Heredia, “Why, oh WHY, do those #?@! nutheads use vi?” sold me on the key ideas: you use “normal mode” for everything, which gives you powerful and composable edit operations. I printed out this Vim quick reference card by Michael Goerz and resolved to learn one new operation every day.

It worked and I’ve been a convert ever since. Doing consultancy work makes you a nomad: often working via SSH or WSL on other people’s computers. So I never had the luxury of setting up an IDE like GNOME Builder, or using something that isn’t packaged in 99% of distros. Luckily Vim is everywhere.

Over the years, I read a newletter named Vimtricks and I picked up various Vim plugins like ALE, ctrlp, and sideways. But there’s a problem: some of these depend on extra Vim features like Python support. If a required feature is missing, you get an error message that appears on like… every keystroke:

In this case, on a Debian 12 build machine, I could work around by installing the vim-gtk3 package. But it’s frustrating enough that I decided it was time to try Neovim.

The Neovim project began around the time I was switching to Vim, and is based on the premise that “Vim is, without question, the worst C codebase I have seen.”.

So far its been painless to switch and everything works a little better. The :terminal feels better integrated. I didn’t need to immediately disable mouse mode. I can link to online documentation! The ALE plugin (which provides language server integration) is even ready packaged in Fedora.

I’d send a screenshot but my editor looks… exactly the same as before. Boring!

I also briefly tried out Helix, which appears to take the good bits of Vim (modal editing) and run in a different direction (visible selection and multiple cursors). I need a more boring project before I’ll be able to learn a completely new editor. Give me 10 years.

Endless OS 7

I’ve been working flat out on Endless OS 7, as last month. Now that the basics work and the system boots, we were mainly looking at integrating Endless-specific Pay as you Go functionality that they use for affordable laptop programs.

I learned more than I wanted to about Linux early boot process, particularly the dracut-ng initramfs generator (one of many Linux components that seems to be named after a town in Massachusetts).

GNOME OS actually dropped Dracut altogether, in “vm-secure: Get rid of dracut and use systemd’s ukify” by Valentin David, and now uses a simple Python script. A lot of Dracut’s features aren’t necessary for building atomic, image-based distros. For EOS we decided to stick with Dracut, at least for now.

So we get to deal with fun changes such as the initramfs growing from 90MB to 390MB after we updated to latest Dracut. Something which is affecting Fedora too (LWN: “Last-minute /boot boost for Fedora 43”).

I requested time after the contract finishes to write up a technical article on the work we did, so I won’t go into more details yet. Watch this space!

GNOME 50

I haven’t had a minute to look at upstream GNOME this month, but there are some interesting things cooking there.

Jordan merged the GNOME OS openQA tests into the main gnome-build-meta repo. This is a simple solution to a number of basic questions we had around testing, such as, “how do we target tests to specific versions of GNOME?”.

We separated the tests out of gnome-build-meta because, at the time, each new CI pipeline would track new versions of each GNOME module. This meant, firstly that pipelines could take anywhere from 10 minutes to 4 hours rebuilding a disk image before the tests even started, and secondly that the system under test would change every time you ran the pipeline.

While that sounds dumb, it worked this way for historical reasons: GNOME OS has been an under-resourced ad-hoc project ongoing since 2011, whose original goal was simply to continuously build: already a huge challenge if you remember GNOME in the early 2010s. Of course, such as CI pipeline is highly counterproductive if you’re trying to develop and review changes to the tests, and not the system: so the separate openqa-tests repo was a necessary step.

Thanks to Abderrahim’s work in 2022 (“Commit refs to the repository” and “Add script to update refs”), plus my work on a tool to run the openQA tests locally before pushing to CI (ssam_openqa), I hope we’re not going to have those kinds of problems any more. We enter a brave new world of testing!

The next thing the openQA tests need, in my opinion, is dedicated test infrastructure. The shared Gitlab CI runners we have are in high demand. The openQA tests have timeouts, as they ultimately are doing this in a loop:

• Send an input event
• Wait for the system under test to react

If a VM is running on a test runner with overloaded CPU or IO then tests will start to time out in unhelpful ways. So, if you want to have better testing for GNOME, finding some dedicated hardware to run tests would be a significant help.

There are also some changes cooking in Localsearch thanks to Carlos Garnacho:

• Per removeable device databases
• Index homedir recursively

The first of these is a nicely engineered way to allow searching files on removable disks like external HDs. This should be opt-in: so you can opt in to indexing your external hard drive full of music, but your machine wouldn’t be vulnerable to an attack where someone connects a malicious USB stick while your back is turned. (The sandboxing in localsearch makes it non-trivial to construct such an attack, but it would require a significantly greater level of security auditing before I’d make any guarantees about that).

The second of these changes is pretty big: in GNOME 50, localsearch will now consider everything in your homedir for indexing.

As Carlos notes in the commit message, he has spent years working on performance optimisations and bug fixes in localsearch to get to a point where he considers it reasonable to enable by default. From a design point of view, discussed in the issue “Be more encompassing about what get indexed“, it’s hard to justify a search feature that only surfaces a subset of your files.

I don’t know if it’s a great time to do this, but nothing is perfect and sometimes you have to take a few risks to move forwards.

There’s a design, testing and user support element to all of this, and it’s going to require help from the GNOME community and our various downstream distributors, particularly around:

• Widely testing the new feature before the GNOME 50 release.
• Making sure users are aware of the change and how to manage the search config.
• Handling an expected increase in bug reports and support requests.
• Highlighting how privacy-focused localsearch is.

I never got time to extend the openQA tests to cover media indexing; it’s not a trivial job. We will rely on volunteers and downstream testers to try out the config change as widely as possible over the next 6 months.

One thing that makes me support this change is that the indexer in Android devices already works like this: everything is scanned into a local cache, unless there’s a .nomedia file. Unfortunately Google don’t document how the Android media scanner works. But it’s not like this is GNOME treading a radical new path.

The localsearch index lives in the same filesystem as the data, and never leaves your PC. In a world where Microsoft Windows can now send your boss screenshots of everything you looked at, GNOME is still very much on your side. Let’s see if we can tell that story.