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Google is giving publishers a new way to fight declining referral traffic from AI-powered search by letting them embed a "Preferred Sources" button that readers can use to favor their sites across Search, Discover, and Google News. "The idea is to make it easier for readers to find links from the sites they know and trust when they're searching for content or interacting with Google's AI to learn about a topic or read the latest news," reports TechCrunch. "As of May's launch, the company said that people across the web had already selected over 345,000 unique sources through this method." From the report: Becoming a preferred source can drive more traffic to publishers' websites, Google said. In earlier studies, it found that people are twice as likely to click through to a preferred source when available. By offering publishers these additional tools, Google is trying to assuage the damage that the rapid growth of AI-powered search features has had on traffic-dependent businesses. Alongside the new button, Google said that readers will soon be able to customize their Discover feed in Google's app in their own words. To use this feature, readers will tap any three-dot menu in the feed and then tell Google what topics they'd like to see more or less of, using natural language commands. This helps Google refine the feed in real time.

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The open-source world has been struggling for a few years now to understand how to approach large language models (LLMs) and the licensing applied to them. What constitutes "freedom" with respect to a black box filled with numerical weights? The process taken by the Open Source Initiative (OSI) in the development of its Open AI Definition was controversial at best, as was its output. Now, the Linux Foundation's Mike Dolan has brought a new license to the OSI for approval. It is called the OpenMDW ("Open Model, Data, and Weights"), and it aims to clarify licensing for the distribution of LLMs and related materials, but consensus is proving hard to find for this license as well.

Security updates have been issued by AlmaLinux (ansible-core and pcp), Debian (chromium, libgit2, python-httplib2, and sabnzbdplus), Fedora (dokuwiki, domoticz, dotnet10.0, dotnet8.0, dotnet9.0, firefox, i2c-display, libgit2, lyx, ntpsec, openssh, perl-DBI, php-phpseclib3, python-alembic, python-asyncmy, python-sqlalchemy, python3.13, roundcubemail, trafficserver, wireshark, and wordpress), Red Hat (compat-openssl10, compat-openssl11, fence-agents, gnutls, kernel, kernel-rt, libarchive, libreswan, multiple packages, openssl, python-idna, python-pillow, qemu-kvm, resource-agents, rh-podman-desktop, ruby, unbound, and vim), SUSE (buildah, chromium, container-suseconnect, containerd, cosign, ctop, docker, firefox, forgejo-cli, gitea-tea, go1.25, go1.26, helm, kubernetes, kubernetes-old, kubevirt1.8, podman, python-pytest-html, python-unearth, python311, python313, rootlesskit, and rsync), and Ubuntu (linux, linux-aws, linux-aws-5.4, linux-azure, linux-bluefield, linux-fips, linux-gcp, linux-gcp-5.4, linux-hwe-5.4, linux-ibm, linux-ibm-5.4, linux-iot, linux-oracle, linux-raspi, linux-raspi-5.4, linux-xilinx-zynqmp, linux, linux-aws, linux-aws-7.0, linux-ibm, linux-oem-7.0, linux-raspi, linux-realtime, linux, linux-aws, linux-aws-fips, linux-azure-fips, linux-gkeop, linux-ibm-5.15, linux-intel-iot-realtime, linux-intel-iotg, linux-intel-iotg-5.15, linux-kvm, linux-nvidia, linux-nvidia-tegra, linux-nvidia-tegra-5.15, linux-oracle, linux-oracle-5.15, linux-realtime, linux-xilinx-zynqmp, linux, linux-aws, linux-kvm, linux-lts-xenial, linux-aws-6.8, linux-azure-5.15, linux-gcp, linux-gcp-fips, linux-hwe-5.15, linux-lowlatency-hwe-5.15, linux-gcp, linux-gcp-4.15, linux-gcp-fips, linux-gcp, linux-gke, linux-gke, linux-lowlatency, linux-lowlatency-hwe-6.8, linux-hwe-6.8, linux-nvidia, linux-nvidia-7.0, linux-nvidia-bos, linux-raspi, linux-raspi-realtime, netty, postgresql-14, postgresql-16, postgresql-18, vim, and wget).

Microsoft is expanding Windows Task Manager to show per-process NPU and GPU neural-engine usage, giving users more visibility into which apps are consuming hardware for AI workloads. The Register reports: The Processes tab can show NPU use alongside CPU and GPU activity, while the Performance tab displays overall utilization. [...] Microsoft was keen to point out the metrics that can be monitored. "As AI workloads become more common on Windows devices, visibility into NPU and GPU neural engine utilization can help you make better-informed decisions," the company said. "With the latest Task Manager improvements, you can monitor AI processing activity alongside CPU, memory, storage, and networking data from a familiar interface."

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China's Chang'e 7 mission is set to launch for the moon's south pole, where it will attempt the first-ever landing directly at the pole and search the region's dark craters for water ice. "It's an amazing mission," says Norbert Schorghofer, a Hawaii-based senior scientist at the Planetary Science Institute. "There has never been a landed mission to find water [on the moon]." If successful, China "will be the leader in lunar science," Schorghofer adds. Scientific American reports: Chang'e 7, China's seventh moon mission, is scheduled to launch on a Long March 5 rocket from the coastal Wenchang Space Launch Site on the island of Hainan, with the launch window opening on the morning of August 24 local time (the evening of August 23 EDT). The mission includes an orbiter, as well as a lander, which totes a rover and a novel "hopping" robot. The spacecraft will take up to six days to reach lunar orbit, where it will then spend two months preparing for a November landing meant to be a near bull's-eye on the lunar south pole. The mission also includes equipment from several international partners, highlighting China's growing global influence -- both on and off Earth. The mission's lunar target is Shackleton Crater, a 21-kilometer-wide (13-mile-wide) pit with a rim that grazes the moon's south pole. No other spacecraft has ever landed so close. That proximity should allow Chang'e 7 to prospect for water ice trapped in smaller depressions near Shackleton that, because of the moon's tilt, never see sunlight and have temperatures just a few dozen degrees above absolute zero. "There are big reservoirs of ice water at the poles," says Simone Dell'Agnello, a physicist at Italy's National Institute for Nuclear Physics. No one knows, however, just how big those reservoirs are or what their actual distribution is across the lunar south pole's crater-pocked desolation. And because that ice might be used as for manufacturing rocket fuel or to make potable water for thirsty astronauts, answering those questions is key for the U.S.'s and China's competing plans to construct crewed lunar outposts.

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RAMageddon could soon push car prices higher as modern vehicles rely on ever more RAM and powerful centralized computers to run everything from infotainment to driver-assistance systems. Analysts cited by The Atlantic estimate the shortage could add a few percentage points to vehicle prices, which might not sound like much, but could potentially translate to around $2,000 on a $50,000 vehicle. The broader shift toward software-heavy vehicles could also make used cars even less affordable. An anonymous reader quotes an excerpt from the report: Just like laptops, cars depend on microprocessors and RAM, or random-access memory, to run all of their computations. "There's just a baseline level of tech, and thus a baseline level of cost, required of every vehicle," Karl Brauer, the executive analyst at iSeeCars, an automotive-research platform, told me. Technology is a major reason the average price of a new car in the U.S. has reached some $50,000, and that was before RAM became one of the most prized commodities in the world. AI companies are snatching up as much memory as possible for their data centers, causing a RAM shortage that has significantly raised the prices of phones, laptops, and just about any consumer-electronic device. Cars are next. [...] Over the next year, the memory shortage -- sometimes known as RAMageddon -- will likely raise vehicle prices by a few percentage points, on average, [said Sam Abuelsamid, an analyst at Telemetry and a former automotive engineer]. The relative amount would be smaller than the shocking double-digit jumps for gaming consoles and MacBooks but in some ways more significant: A 4 percent price hike for cars amounts to some $2,000 on average. Cars with those centralized computers will be affected the most, but no vehicle will be spared. "Even if you don't need the high-end chips, you're going to pay more even for the low-end chips just because of the supply constraint," Abuelsamid said. On a recent earnings call, Ford's chief financial officer said that the company had paid $1 billion in higher materials costs due to the memory shortage and inflation. GM and Volkswagen, too, have noted rising chip costs to investors. (Ford and GM did not respond to a request for comment. A spokesperson for Volkswagen told me that the company has "recognized an increased demand for memory chips, primarily driven by growing requirements in other industries," and that in recent years, Volkswagen has taken measures to "mitigate supply risks.") RAMageddon is poised to last for several years, but the consequences for car buyers may be permanent. Consider what happened during the pandemic, when supply-chain disruptions and rising demand for electronics produced a major chip shortage. Nearly every major car company had to slash production because they simply couldn't procure enough chips, and shifted their focus to selling higher-end and higher-profit vehicles. Potential customers already willing to spend six figures on a car are much less likely to care about a 5 or 10 percent price hike, [said Ivan Drury, the director of insights at Edmunds]. Even now, car companies are continuing to focus on selling more profitable models. Since the pandemic, the average price of a new vehicle has jumped $11,000. The AI-fueled chip crisis could play out more severely. The average price of a new car could, before long, jump to $60,000 and beyond. These rising costs are making cars even more similar to computers and all of the software they run: Perhaps in an effort to mitigate higher prices, some automakers are also introducing in-car advertisements and putting certain features, such as heated seats, behind a paywall. As cars have morphed into computers, the inevitable next step is for automakers to behave like modern tech companies.

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Bilibili, often described as China's answer to YouTube, is relaunching its international app and preparing an English-language site as part of a broader push into the U.S., Europe, Japan, and other markets. The company is courting Western creators like MrBest, hiring community and moderation staff globally, and building tools for brand partnerships. Semafor reports: The revamped international app no longer requires identity verification -- meaning users can sign up without having to provide a passport or ID document, which were long required of overseas users on its main Chinese platform, according to what appears to be a newly created account on X marketing the platform to global creators. "Yes bilibili is going global," the account wrote, adding that content-wise, the US and Chinese sites will be the same. In a document recently shared in a Discord chat for Bilibili creators, the company pitched itself as a place for influencers to make money and connect with "Gen Z Coded, affluent and well-educated" users. A marketplace for international users to connect with brands for sponsored content is "in development," according to the presentation. The deck also showed creators how to post videos on its Chinese website, adding that an English version is "coming soon. We are working hard."

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An anonymous reader quotes a report from RathBiotaClan: Millions of people finish short video after short video every day; a new brain-scan study shows that the very act of finishing a clip they like temporarily quiets the brain regions that normally help them stay focused and weigh longer-term goals. When people watch a short video they enjoy enough to finish, two brain regions involved in cognitive control show significant deactivation. That is the central finding of a new study from Zhejiang University, published in NeuroImagein January 2026. Using functional MRI alongside proton magnetic resonance spectroscopy (H-MRS), the research team examined 56 young adults while they freely watched short video clips inside an MRI scanner. Both the dorsal anterior cingulate cortex (dACC) and the dorsolateral prefrontal cortex (dlPFC) showed reduced activity specifically when participants watched clips they liked enough to view to completion. Cognitive control helps people balance immediate pleasures against longer-term goals, and impairments in this system are linked to conditions such as depression, anxiety, ADHD, and addiction. Short-video platforms present rapid, algorithmically curated streams that are built for continuous, low-effort consumption. Prior behavioral research has tied both internet addiction and smartphone addiction to weaker self-control, and separate neuroimaging work has documented disruptions to reward and cognitive-control circuits in people with behavioral addictions. Despite this, few studies had directly tested whether the act of watching entertaining short videos itself suppresses the brain's cognitive control regions. The Zhejiang University team set out to answer that question, along with a second one: what neurochemical factors might explain why this suppression varies from person to person?

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Russian attacks on Ukrainian publishing infrastructure in July and August destroyed roughly 10 million books, which equates to about 30% of Ukraine's annual book output. The Ukrainian Book Institute is warning of a potential "collapse of the entire book ecosystem" and is calling for international financial and industry support to help publishers, printers, and distributors recover. The Guardian reports: A major attack on August 1 hit warehouses belonging to the RNK-Ranok publishing group in Kharkiv, destroying approximately 8m books, following July attacks in Kyiv which led to the loss of more than 1.5m books. In all, the recent attacks have led to the destruction of approximately 30% of the volume of books produced annually in Ukraine. The RNK-Ranok logistics centre, which stores books for the company's many imprints, is also the distribution centre for the national bookselling chain KnyhoLand, which runs 51 shops and several websites. Along with the estimated 8m books lost, a further 600,000 school textbooks were destroyed. The total loss has been preliminarily estimated at almost 1bn hryvnias (16.5m eueros). "At this stage, we face the risk of the collapse of the entire book ecosystem," said Oleksandra Koval, director of the Ukrainian Book Institute. The institute is asking for donations to support Ukrainian publishers, and is calling on the international publishing community to work with Ukrainian publishers and raise awareness about Russian attacks on Ukrainian culture. On August 16, a Russian attack on Kyiv led to a fire breaking out at the Pochaina book market, destroying several rows of stalls, books and vendors' property. The Pochaina market, founded in 1997, was once one of Ukraine's largest book markets, with hundreds of stalls and books from more than 120 publishers. The institute said the book industry was of "strategic importance" to Ukraine, preserving and promoting Ukrainian culture and giving the country's voice a platform at home and abroad. [...] The institute also called for an end to cooperation with Russian publishers and literary agencies, saying that solidarity with Ukrainian publishers was crucial to preserving cultural heritage that Russia was "deliberately trying to destroy."

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A growing backlash against AI data centers is spilling into local politics, with residents in more than a dozen communities pushing recall elections against officials who approved projects. "People are standing up and saying, 'Sorry, we don't want these data centers in our communities for a number of reasons,'" Senator Bernie Sanders, the Vermont independent, said in an interview. "'If you can't have the guts to stand up to some large corporation, you should not continue serving in office.'" The New York Times reports: In Festus, Mo., critics of a local data center project gathered enough signatures in May to force a vote to remove the mayor and City Council members who had approved a $6 billion data center, though the effort is tied up in legal wrangling. In Mason, Mich., residents will vote in November over whether to recall a City Council member over a vote to create zoning rules for data centers. Voters in Yukon, Okla., will also decide in November whether to recall their mayor after the town moved to sell land to a data center developer. And residents of Independence, a city of 121,000 that is 10 miles from Kansas City, will vote on whether to remove Mr. Perkins on Sept. 1. Some local officials have already lost their jobs in the face of data center concerns in regularly scheduled elections. Last year, two members of the Georgia Public Service Commission lost their seats amid concern about data centers' driving up electricity prices. A Virginia state delegate, Geary Higgins, also lost his job last year after his opponent branded him "Data Center Geary." [...] Independence would be one of the first municipalities to hold a data-center-motivated recall election. A judge this month rejected a legal challenge by Mr. Perkins and others, who argued the recall violated Missouri's Constitution.

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Quickshell is a toolkit for building desktop components, such as toolbars or menus. It uses QML, which is a declarative language for designing GUI applications. Quickshell helps developers create graphical tools for common desktop use cases with a focus on ease of development. It offers a convenient method for writing user interfaces and has been adopted by a number of projects, such as caelestia-shell and DankMaterialShell, that provide desktop environments for minimal window managers like Sway and niri.

An anonymous reader quotes a report from The Guardian: A math professor at the University of California, Berkeley, criticizing a "severe" math deficiency among students in an op-ed for the San Francisco Standard, admitted to using artificial intelligence to help edit the piece. The Standard published a 2,000-word piece by Zvezdelina Stankova last week, in which the professor said some of her math students were "five to eight years" behind and lacked a "middle school" education on fractions and basic algebra. Stankova said the UC system's test-blind admissions were to blame, suggesting that students who weren't sufficiently prepared for the rigor of Berkeley's mathematics program were admitted because a longstanding benchmark like the SAT had disappeared. Over the weekend, journalists at Berkeley's student newspaper, the Daily Californian, noticed the op-ed's language sounded like AI. According to Berkeley sophomore Francis Luo, they ran it through AI-detection software Pangram, which claimed 33% of the op-ed had been generated or assisted by AI. In response, Stankova admitted she had used AI software to "help edit the piece" but that the article was "the result of several hundred person-hours of intensive human work, of which about 80 hours are my own." Stankova said by email she had used AI to locate "numerous documents and articles related to the initiative" but that "all analysis is the result of the team members." When asked about their AI usage policy, the Standard -- which published the op-ed -- shared this statement by email: "While AI may assist, our expectation is that humans are behind every article we publish and take responsibility for every word. Our understanding in working with the author of this op ed was -- and continues to be -- that this piece reflects her and her colleagues' extensive original analysis, research and expertise." Should the op-ed have been entirely written without artificial assistance or is the use of AI a distraction from the argument at hand? That's the question at the heart of the debate playing out online. According to the op-ed, Stankova and her peers found that the number of students with a "severe deficit" in their readiness for a calculus I class had tripled after the University of California adopted test-blind admissions. Some students were allegedly five to eight years behind and struggling with basic algebra and fractions, among other concepts. Much of that decline, Stankova argues, is from the removal of standardized tests like the SAT and ACT, which served as important benchmarks for identifying whether applicants were prepared for Berkeley-level coursework.

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Bloomberg reports that YouTube is offering major creators millions of dollars to keep some content exclusive to its platform as Netflix increasingly signs YouTube-native talent to non-exclusive deals. YouTube has also warned that creators who simultaneously publish on Netflix could lose marketing support, event opportunities, and access to revenue from certain brand campaigns. Quartz reports: Bloomberg described two categories of payment: funding directed at specific programs, and a portion of the revenue YouTube brings in through large advertiser partnerships. No agreements have been finalized, but YouTube is close to deals with several partners, citing people familiar with the negotiations who declined to be identified. Creators who sign with Netflix face consequences. YouTube has warned creators that those who simultaneously publish videos on Netflix risk being sidelined from the platform's marketing campaigns and events, and would lose access to a share of proceeds from certain major brand deals. Netflix has been signing YouTube creators to non-exclusive deals that allow them to post the same content on both platforms simultaneously. Creators including Alan Chikin Chow and Nick DiGiovanni have already signed such agreements, and Netflix remains in active conversations with dozens of other channels and programs, including the celebrity talk show Hot Ones. Netflix's pitch is straightforward: creators receive a substantial additional payday for content they have already produced, and their work reaches an audience that numbers more than 325 million subscribers. YouTube Chief Executive Officer Neal Mohan had previously held that creators who work with competitors tend to drive viewers back to YouTube. But Bloomberg reported that Mohan and his team decided in recent weeks that the growing number of creators posting simultaneously on both platforms had become a problem that needed to be addressed. The concern is that when a video runs on both platforms simultaneously, YouTube's ability to convince advertisers of that video's exclusive value is undermined.

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Security researcher Jeremiah Fowler found that people-search service ClarityCheck left more than 9 million image files accessible in an unsecured Amazon S3 bucket, despite advertising its reverse-image search as "private and secure." A separate misconfiguration also exposed email addresses, phone numbers, and other personal information. Wired reports: Overall, according to findings from independent security researcher Jeremiah Fowler, the exposed ClarityCheck database contained roughly 450 GB of images, including what appeared to be profile images, screenshots, and other photographs of adults, teenagers, and children. All of the images were stored in an unsecured Amazon S3 bucket, with files in folders named "faces" and "profiles," which could be accessed by anyone online through a URL included in the company's publicly available website code. ClarityCheck is one of a number of so-called people-finder tools that have appeared online in recent years. These websites broadly claim to be able to search the web, public records, and other databases to identify individuals. ClarityCheck's website says it can run searches on phone numbers, email addresses, vehicle identification numbers, and names. Its photo-search page says it can help "identify anyone in a photo" and find social media profiles "in seconds." While ClarityCheck secured the giant image database after WIRED contacted the company in July, Fowler warns that it was seemingly exposed for months, and his initial efforts to flag the problem to the company were unsuccessful. Accidental data exposures create risk for any personal information, but particularly for sensitive and unchangeable biometric data like face images. [...] In addition to the face data, ClarityCheck had also misconfigured its APIs such that its website URLs could be manipulated to reveal data about people simply by entering names; anyone using any consumer browser could have done this. Entering a name into one of the URLs would return multiple potential email addresses, physical addresses, and phone numbers for people with that name. After WIRED contacted the company, the URLs were secured. The ClarityCheck spokesperson said in the statement that the details displayed were "sourced from publicly available information and licensed third-party data providers." A spokesperson for ClarityCheck said in a statement: "Once this was drawn to the attention of the appropriate teams, we acted immediately to restrict access." The company disputed any characterization that the data was "exposed," saying that an "ordinary member of the public" would not have come across it. "We do not accept that data in the temporary storage location was 'publicly exposed,' which implies large-scale public access," the spokesperson says. "Access required knowledge of a specific, unindexed URL that was not discoverable through ordinary use of the ClarityCheck service or a general web search."

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An anonymous reader quotes a report from Ars Technica: The Federal Communications Commission last week eliminated the gigabit speed goal established during the Biden administration and declared that current levels of broadband deployment in the US are acceptable. Though fiber networks have routinely offered such speeds for years, the FCC said the gigabit speed goal is not "technologically neutral," suggesting that it isn't fair to other, slower technologies. In 2024, the FCC raised its broadband benchmark to 100Mbps downstream and 20Mbps upstream, setting the new standard by which to judge whether deployment is reasonable and timely. The FCC at the time also set a long-term speed goal of 1Gbps download speeds paired with 500Mbps upload speeds, saying it would use the goal "as a guidepost for evaluating our efforts to encourage deployment." Republican Brendan Carr, who is now the FCC chairman, never liked that long-term goal. He proposed abolishing it last year, and the change was finalized on August 14 in the FCC's latest broadband deployment report. The reports are mandated by Section 706 of the Telecommunications Act. "As part of our return to following the plain language of Section 706, we adopt our proposal from the Notice [of Inquiry] to abolish without replacement the long-term goal of 1,000/500 Mbps established in the 2024 Report," the order said. "A long-term goal is not mentioned in Section 706 and could appear to violate our obligation to conduct our analysis in a technologically neutral manner. At present, it is impossible to predict long-term technological developments and the evolution of consumer preferences." The FCC said that comments submitted by cable industry group NCTA and wireless industry group CTIA "support our reasoning for abolishing the long-term goal." Last year, the Brendan Carr-led FCC said (PDF) that the gigabit goal "may be unreasonably prejudicial to technologies such as satellite and fixed wireless that presently do not support such speeds." However, last week's report contradicts that stance. "We disagree with commenters arguing that our concern about technological neutrality merely serves to accommodate technologies that may currently offer slower speeds," the FCC said. "At present, we do not know the nature of future consumer preferences and, considering that the goal is not required by the statute and does not serve any positive purpose (as discussed herein), we believe it prudent to abolish it."

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Japan is preparing a nonbinding "comply or explain" code that would urge generative AI companies, including foreign firms operating in Japan, to disclose what models they use, what training data they rely on, and how that data was collected. The proposal would also let rights holders ask whether specific webpages were included in training datasets. The Japan Times reports: The draft code comprises three principles. The first principle requires businesses to disclose the generative AI models they use, their training data and methods for collecting such data on their websites and make the information publicly accessible. Meanwhile, disclosure of sensitive information will not be mandatory. The second principle calls for businesses to disclose whether certain webpages are included in training data when requested by copyright holders and other rights holders who allege infringement. The third principle states that businesses will respond to requests for information from system and service users concerned about copyright infringement.

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Version 26.08 of the KDE Gear collection of applications has been released. Notable changes in this release include improvements in the signing features of Okular, improved file-grouping features in the Dolphin file manager, and a number of enhancements to the Kdenlive video editor. See the changelog for a full list of updates, enhancements, and bug fixes.

The Rust blog reports on a malicious crate, called proc-macro1, that was uploaded to the crates.io repository.

Furthermore, we discovered that the popular arrayref crate had recently been republished and made to depend on this crate, with the most recent versions yanked. We have removed the malicious version and unyanked the maliciously-yanked versions. Other crates by that author (internment, append-only-vec) were also affected so we have done the same for those, and locked the account as a precaution. We do not believe the author of arrayref to be acting maliciously, but their computer or credentials are likely compromised, and we are attempting to contact them.

Version 6.1.0 of the RPM Package Manager has been released. Notable changes include the ability to provide modifiers to RPM macros at definition time, improved build and verification error handling, support for signing files with PKCS11 tokens using rpmsign, as well as the addition of several new man pages. The 6.1.0 release also debuts a new release model inspired by the Linux kernel's.

As of this writing, 2,346 non-merge changesets have been pulled into the mainline repository for the 7.3 kernel release. That, clearly, is a mere down payment on the flood that is to come. Even so, those early pulls brought in some noteworthy changes, including (but not limited to) a significant reworking of how group scheduling works on multiprocessor systems.