Celebrating Git's 20th anniversary, GitHub hosted a Q&A with Linus Torvalds, writes Its FOSS News.

Among the other revelations: He says his college-age daughter sent a texting saying he's better known at her CS lab for Git than for Linux, "because they actually use Git for everything there." Which he describes as "ridiculous" because he maintained it for just four months before handing it off to Junio Hamano who's been heading up development for more than 19 years now. "When it did what I needed," Torvalds says, "I lost interest." Linus then goes on to share how Git was never a big thing for him, but a means to an end that prevented the Linux kernel from descending into chaos over the absence of a version control system. You see, before Git, Linux used BitKeeper for version control, but its proprietary licensing didn't sit too well with other Linux contributors, and Linus Torvalds had to look for alternatives. As it turned out, existing tools like CVS and Subversion were too slow for the job at hand, prompting him to build a new tool from scratch, with the coding part just taking 10 days for an early self-hostable version of Git.

In its initial days, there were some teething issues, where users would complain about Git to Linus, even finding it too difficult to use, but things got calmer as the tool developed further.
Torvalds thinks some early adopters had trouble because they were coming from a background that was more like CVS. "The Git mindset, I came at it from a file system person's standpoint, where I had this disdain and almost hatred of most source control management projects, so I was not at all interested in maintaining the status quo."

Software engineer and longtime Slashdot reader, Dmitry Grinberg (dmitrygr), shares a recent project they've been working on: "an interactive-speed Linux on a tiny board you can easily build with only 3 8-pin chips": There was a time when one could order a kit and assemble a computer at home. It would do just about what a contemporary store-bought computer could do. That time is long gone. Modern computers are made of hundreds of huge complex chips with no public datasheets and many hundreds of watts of power supplied to them over complex power delivery topologies. It does not help that modern operating systems require gigabytes of RAM, terabytes of storage, and always-on internet connectivity to properly spy on you. But what if one tried to fit a modern computer into a kit that could be easily assembled at home? What if the kit only had three chips, each with only 8 pins? Can it be done? Yes. The system runs a custom MIPS emulator written in ARMv6 assembly and includes a custom bootloader that supports firmware updates via FAT16-formatted SD cards. Clever pin-sharing hacks allow all components (RAM, SD, serial I/O) to work despite the 6 usable I/O pins. Overclocked to up to 150MHz, the board boots into a full Linux shell in about a minute and performs at ~1.65MHz MIPS-equivalent speed.

It's not fast, writes Dmitry, but it's fully functional -- you can edit files, compile code, and even install Debian packages. A kit may be made available if a partner is found.

An anonymous reader quotes a report from Ars Technica: Software developer Xe Iaso reached a breaking point earlier this year when aggressive AI crawler traffic from Amazon overwhelmed their Git repository service, repeatedly causing instability and downtime. Despite configuring standard defensive measures -- adjusting robots.txt, blocking known crawler user-agents, and filtering suspicious traffic -- Iaso found that AI crawlers continued evading all attempts to stop them, spoofing user-agents and cycling through residential IP addresses as proxies. Desperate for a solution, Iaso eventually resorted to moving their server behind a VPN and creating "Anubis," a custom-built proof-of-work challenge system that forces web browsers to solve computational puzzles before accessing the site. "It's futile to block AI crawler bots because they lie, change their user agent, use residential IP addresses as proxies, and more," Iaso wrote in a blog post titled "a desperate cry for help." "I don't want to have to close off my Gitea server to the public, but I will if I have to."

Iaso's story highlights a broader crisis rapidly spreading across the open source community, as what appear to be aggressive AI crawlers increasingly overload community-maintained infrastructure, causing what amounts to persistent distributed denial-of-service (DDoS) attacks on vital public resources. According to a comprehensive recent report from LibreNews, some open source projects now see as much as 97 percent of their traffic originating from AI companies' bots, dramatically increasing bandwidth costs, service instability, and burdening already stretched-thin maintainers.

Kevin Fenzi, a member of the Fedora Pagure project's sysadmin team, reported on his blog that the project had to block all traffic from Brazil after repeated attempts to mitigate bot traffic failed. GNOME GitLab implemented Iaso's "Anubis" system, requiring browsers to solve computational puzzles before accessing content. GNOME sysadmin Bart Piotrowski shared on Mastodon that only about 3.2 percent of requests (2,690 out of 84,056) passed their challenge system, suggesting the vast majority of traffic was automated. KDE's GitLab infrastructure was temporarily knocked offline by crawler traffic originating from Alibaba IP ranges, according to LibreNews, citing a KDE Development chat. While Anubis has proven effective at filtering out bot traffic, it comes with drawbacks for legitimate users. When many people access the same link simultaneously -- such as when a GitLab link is shared in a chat room -- site visitors can face significant delays. Some mobile users have reported waiting up to two minutes for the proof-of-work challenge to complete, according to the news outlet.

"For developers and organisations that require a custom software image, a flexible and transparent build system is essential," according to an announcement Friday at Raspberry Pi.com.

"[T]o support these customers, we have created rpi-image-gen, a powerful new tool designed to put you in complete control of your Raspberry Pi images." If you're building an embedded system or an industrial controller, you'll need complete control over the software resident on the device, and home users may wish to build their own OS and have it pre-configured exactly the way they want... rpi-image-gen is an alternative to pi-gen, which is the tool we use to create and deploy the Raspberry Pi OS distribution. rpi-image-gen... offers a very granular level of control over file system construction and software image creation... [B]eing able to help reduce software build time, provide guaranteed ownership of support, and reuse standard methodologies to ensure authenticity of software were all of paramount importance, and among the reasons why we created a new home-grown build tool for Raspberry Pi devices...

There is a small number of examples in the tree which demonstrate different use cases of rpi-image-gen [including the lightweight image slim and webkiosk for booting into browser kiosk mode]. All create bootable disk images and serve to illustrate how one might use rpi-image-gen to create a bespoke image for a particular purpose. The number of examples will grow over time and we welcome suggestions for new ones... Visit the rpi-image-gen GitHub repository to get started. There, you'll find documentation and examples to guide you through creating custom Raspberry Pi images.
Some technical details from the announcement.

• "Similar to pi-gen, rpi-image-gen leverages the power, reliability, and trust of installing a Debian Linux system for the device. However, unlike pi-gen, rpi-image-gen introduces some new concepts [profiles, image layouts, and config] which serve to dictate the build footprint and installation."

• The tool also lets you exclude from your package "things that would otherwise be installed as part of the profile."

• The tool's GitHub repository notes that it also allows you output your software bill of materials (SBOM) "to list the exact set of packages that were used to create the image." And it can even generate a list of CVEs identified from the SBOM to "give consumers of your image confidence that your image does not contain any known vulnerabilities."

Nvidia is selling its scarce RTX 5080 and 5090 graphics cards from a pop-up "food truck" at its GPU Technology Conference, where attendees paying over $1,000 for tickets can purchase the coveted hardware alongside merchandise. The company has only 2,000 cards available (1,000 each of RTX 5080 and 5090), released in small batches at random times during the three-day conference which concludes tomorrow.