"As of today in systemd Git it's now possible for the systemd programs to be written in the Rust programming language as an alternative to C," reports Phoronix:


Core systemd code like the systemd library doesn't yet support Rust code, but for the various systemd programs / leaf components there is now support for using Rust... The new systemd-keyring-setup utility in Rust is used for provisioning keyrings and enrolling X.509 certificates into the kernel's dm-verity / fs-verity / BPF keyrings during the boot process while dealing them afterward. This systemd-keyring-setup code hasn't been merged yet but is expected soon now that the Rust infrastructure has landed. Originally it was all part of a single big commit before being split-up for the Rust enablement, systemd-keyring-setup, and other preparations for this new component.

Systemd developers aren't planning on porting existing C code to Rust, all the Rust code is built with Meson [no Cargo usage], and C linkage only is mandated.

Systemd Rust components come out slightly larger than C with a test program being 32KB compared to 20KB for its C twin. For now at least the systemd Rust support is optional and toggled by the -Drust= Meson option with it being auto by default.

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"59% of maintainers report growing contribution volume since the rise of GenAI," according to a new study published by Linux Foundation Research. But 25% of their incoming pull requests "are estimated to be low-quality, also known as 'AI slop'." And on large projects, 69% see growing contributions — and estimate that 31% are low-quality/AI slop.

So what do these results show us? "Generative AI is fundamentally changing how people participate in open source," says the head of Open Source Ecosystem Development at Huawei's R&D subsidiary Futurewei, which helped support the study. Specifically GenAI is "lowering barriers to contribution" but also "creating new challenges" for maintainers and communities. Their recommendation? "Build the governance, transparency and trust mechanisms that allow AI-assisted contributions to strengthen, but not overwhelm, the open source ecosystem."

"Open source projects need to design for a growing AI-generated contributor base, not simply react to it," said Hilary Carter, SVP of Research at the Linux Foundation. "That means setting clear expectations for GenAI, putting responsibility for testing and disclosure on contributors and giving maintainers better tools to manage incoming pull requests. If we get those fundamentals right, AI can expand participation without overburdening and increasing costs for maintainers."

More from the blog It's FOSS:
LF Research is the Linux Foundation's research arm. It was set up in 2021 and publishes studies on how open source is built and used, drawing on surveys and project data. Its latest report, Navigating Open Source Software Development in the Generative AI Era, surveyed 234 contributors and maintainers on how generative AI is affecting the way open source gets made...
64% say reviews now take longer. Burnout is their top concern at 63%, narrowly ahead of contribution quality at 60%.
You will also find that policies have not caught up to the AI-assisted coding and vulnerability reporting trend. Of the 119 respondents who answered the question, 35% said their project has a formal policy permitting AI use. Another 32% have none and no plans for one, 23% plan to write one, and 10% ban AI contributions outright....
Most maintainers (71%) say AI makes it easier for newcomers to start contributing.

Other interesting findings:

"Respondents estimate average time reductions across all six OSS development activities measured, including proposal discussions (19%) and code authoring (52%). For high-complexity tasks, however, 21% of respondents report taking more time when using GenAI."
"71% of maintainers agree GenAI reduces barriers to entry for OSS, but 53% of maintainers disagree that GenAI has improved community trust."
Developers are reinvesting the time they save back into open source: 66% report using productivity gains to address technical debt, 63% to develop new features and 58% for learning and upskilling.
Continued investment in human mentorship remains important: 46% of maintainers say GenAI increases the need for mentorship of new contributors, compared with 32% who say it decreases that need.



OpenSSF and LF AI & Data also helped support the study.

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The problem? Understanding how AI coding agents interact with the software you build. "Whether you're maintaining an SDK, building a command-line interface, or publishing an MCP server or skills... you need to understand whether agents can discover and use what you ship, and what your team can change."
Results can vary, and configurations keep changing, with behaviors influenced by everything from custom instructions and MCP servers to skills and plugins. So after a year of development Microsoft has created Scope, "an open-source platform built on Kubernetes for turning those interactions into evidence product teams can act on."

Details are available on... the Microsoft open source blog:
Available under the MIT License, Scope supports a continuous Developer Agent Experience (DevAx) learning loop grounded in repeatable experiments.
The Azure Cosmos DB team's experience shows what that loop can deliver... "The evaluations led to 20 Agent Kit issues and 27 documentation issues resolved," [says Jay Gordon, Senior Program Manager, Azure Cosmos DB]... These results connect evaluation to decisions a product team can make: which documentation needs clarification, where tooling needs a fix, and whether an update changes agent behavior.... [The gains] demonstrate how targeted changes, informed by observed behavior, can improve the way agents use a product.
For more on the shift from building for human developers to supporting agents, watch Your Product Was Built for Humans. Is It Ready for Agents? or join us at AI DevCon NYC conference in November.

Scope surfaces everything from incorrect assumptions in documentation (or recurring missed instructions) to whether agents select the intended SDK, initialize it correctly, and use its APIs, leading to clearer descriptions for command-line tool and more actionable errors.

Microsoft's open source blog also explains why AI agent evaluation needs an open-source foundation:
The challenges behind agent experience aren't unique to one product or organization. SDK maintainers, tool authors, researchers, and agent developers are all asking how agents behave and what helps them succeed. No single team can represent every language, workflow, or integration. An open project can bring more scenarios, more failure cases, and more viewpoints into the evaluation process... Opening Scope's execution and evaluation code gives contributors a way to question the methods, investigate unexpected results, and improve the evaluation itself. A shared foundation also reduces duplicated infrastructure. Agent integrations, reusable criteria, and trace-analysis improvements can help other teams study their own products without rebuilding the same machinery. The goal isn't one universal benchmark or definition of success. It's a common starting point that teams can adapt to their needs.

The MIT License lets teams use and extend Scope, while self-managed deployments let them evaluate private workloads without publishing their code or run data.... Scope streams activity as the agent works and retains interactions and workspace snapshots for later review. Your team can follow tool calls, inspect generated files, and connect a failed requirement to the steps that preceded it. Those traces provide observable evidence of what the agent did, helping turn a failure into a concrete documentation, SDK, or tooling improvement.

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Brazil's 80-year-old president Luiz Inácio Lula da Silva was re-elected Sunday, reports the Guardian, "defeating his far-right opponent, Flávio Bolsonaro, to claim a historic fourth term in power."

And the results could impact the climate, suggests the Associated Press, since under da Silva the annual deforestation rate in the Amazon fell to its lowest level since records began in 1988:

Official satellite data showed the rainforest lost 3,335 square kilometers (1,300 square miles) from Aug. 2025 through July 2026, the period used to calculate the annual rate...

During Jair Bolsonaro's presidency, from 2019 to 2022, Amazon deforestation surged by about 60%, with more than 45,000 square kilometers (17,400 square miles) cleared, according to official data. Under Lula, deforestation has fallen 71% since 2023, the government said. One of Lula's first moves after taking office in January 2023 for a third, non-consecutive term was to revive the Action Plan for the Prevention and Control of Deforestation in the Legal Amazon, known by its Portuguese acronym, PPCDAm. Launched in 2004 during his first administration, the plan had been shelved under Bolsonaro....

The plan has four pillars: strengthening monitoring and enforcement; promoting a sustainable economy; managing protected areas and determining how undesignated public forests should be used; and using regulations and financial incentives to curb deforestation. Measures included restoring sanctions for illegal forest clearing detected by satellites, a practice seen as the most effective tool to curb deforestation that was halted under Bolsonaro. The government also proposed barring properties with illegal deforestation from receiving bank loans and allocated more funding to priority Amazon municipalities that demonstrated reductions in forest loss. It also funded efforts to fight environmental crime and develop subsidized credit for sustainable businesses in the Amazon...

Deforestation and other land-use changes are Brazil's largest sources of greenhouse gas emissions, which drive global warming. The stakes are especially high in the Amazon, which stores vast amounts of carbon dioxide and generates atmospheric moisture that helps regulate weather far beyond South America... Degradation from wildfires, logging and drought affects about 40% of the Amazon and has outpaced clear-cutting in recent years. A strong El Niño, a periodic warming of the equatorial Pacific, could intensify those threats in 2026 and 2027 by bringing hotter, drier conditions that fuel wildfires.
The article notes that Lula's reelection campaign promised zero net deforestation by 2030, plus restoration to offset all forest loss, legal or illegal.

Read more of this story at Slashdot.

Kotaku reports:


r/opensource, Reddit's primary "subreddit for everything open source related," has banned all AI-assisted and AI-related projects.... As reported by The Verge, the subreddit's October 24 post, titled "Your tokens aren't valuable: No more AI," features four new main rules: all projects must now be at least "1 year old," have "multiple contributors," be posted by someone who must "speak English," and cannot be "made by" or "intended for" AI... [T]he ban on AI is simple; as the subreddit's moderators explain, "AI, as it exists today, is incongruent to this Open Source community." Unsurprisingly, this is the part that's upset the majority of the users in the thread....

[T]he moderator who posted the new guidelines stated in a separate comment that the overwhelmingly negative response is due to "some guy on twitter claiming to be alternative news" who posted an "opinionated editorial pointing hundreds of people to the thread." Given the timing of when the thread was posted, alongside the fact that the X post in question mentions "the Linux kernel," they are presumably referring to this post by The Lunduke Journal. The moderator may be correct, as almost all of the top comments on the post are from users who have never posted in r/opensource before.

The use of AI "doesn't change whether something is open source or not," complained one commenter, who added "I guess Linux is no longer allowed here? Linus uses AI for kernel development now."

The moderator has since updated their post to acknowledge that Redditors have now already created a rival community called r/OpenSourceAIAllowed — plus three more alternatives:

r/TrueOpenSource
r/OpenSourceWare
r/ActuallyOpenSource

Read more of this story at Slashdot.

Zodra we iemand in een rolstoel zien, gaan we gek doen, merkt Japke-d. Bouma. Ze vroeg twee ervaringsdeskundigen hoe het wél moet. „Vraag niet aan een man in een rolstoel: ‘Doet hij het nog?’ terwijl je naar z’n kruis wijst.”

Brand, charged with rape and sexual assault, was ‘sleeping with people day and night’, former assistant alleges

Russell Brand had an “insane sexual appetite” and his bad behaviour was on “another level” to that of other celebrities, his former personal assistant has told a court.

Helen Berger told police she had seen Brand treat women badly and that she once had to stop his mother and girlfriend walking in on him having sex with someone in his dressing room.

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Thomas Hawk posted a photo:

Thomas Hawk posted a photo: