An anonymous reader quotes a report from MarketWatch: ServiceNow announced a deal to acquire cybersecurity company Armis on Tuesday, marking a new milestone in the software giant's artificial-intelligence business strategy. The $7.75 billion all-cash transaction is part of ServiceNow's goal of advancing governance and trust in autonomous AI agents, and the company's largest transaction to date. "The acquisition of Armis will extend and enhance ServiceNow's Security, Risk, and [Operational Technology] portfolios in critical and fast-growing areas of cybersecurity and drive increased AI adoption by strengthening trust across businesses' connected environments," the company wrote in a press release.

While ServiceNow built its foundation IT service management products, the company has positioned itself as an "AI control tower" that orchestrates workflows across HR, customer service and security operations. Organizations today are operating in increasingly complex environments, with assets spanning from laptops and servers to smart grid devices, Gina Mastantuono, chief financial officer of ServiceNow, told MarketWatch on Tuesday. "But at the same time, cyber threats are becoming more sophisticated and more complex," she added.

ServiceNow's Security and Risk business crossed $1 billion in annual contract value earlier this year, and the Armis acquisition is expected to triple ServiceNow's market opportunity in the sector. Armis currently has over $340 million in annual recurring revenue, with growth exceeding 50% year-over-year, according to the press release. The Armis acquisition would allow ServiceNow to create an "end-to-end proactive cybersecurity exposure and operations stack that enables enterprises to see, decide and act across a business' entire technology footprint," Mastantuono said.

[ Read more of this story ]( https://slashdot.org/story/25/12/23/2313234/servicenow-to-buy-armis-for-775-billion-as-it-bets-big-on-cybersecurity-for-ai?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

Phoronix's Michael Larabel writes: An interesting anecdote from this month's Linux Plumbers Conference in Tokyo is that Meta (Facebook) is using the Linux scheduler originally designed for the needs of Valve's Steam Deck... On Meta Servers. Meta has found that the scheduler can actually adapt and work very well on the hyperscaler's large servers. [...]

The presentation at LPC 2025 by Meta engineers was in fact titled "How do we make a Steam Deck scheduler work on large servers." At Meta they have explored SCX_LAVD as a "default" fleet scheduler for their servers that works for a range of hardware and use-cases for where they don't need any specialized scheduler. They call this scheduler built atop sched_ext as "Meta's New Default Scheduler."

LAVD they found to work well across the growing CPU and memory configurations of their servers, nice load balancing between CCX/LLC boundaries, and more. Those wishing to learn more about Meta's use and research into SCX-LAVD can find the Linux Plumbers Conference presentation embedded below along with the slide deck (PDF).

[ Read more of this story ]( https://linux.slashdot.org/story/25/12/23/227227/meta-is-using-the-linux-scheduler-designed-for-valves-steam-deck-on-its-servers?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

A group of authors led by John Carreyrou has filed a new lawsuit against Anthropic, Google, OpenAI, Meta, xAI, and Perplexity, accusing the AI firms of training models on pirated copies of their books. TechCrunch reports: If this sounds familiar, it's because another set of authors already filed a class action suit against Anthropic for these same acts of copyright infringement. In that case, the judge ruled that it was legal for Anthropic and similar AI companies to train on pirated copies of books, but that it was not legal to pirate the books in the first place.

While eligible writers can receive about $3,000 from the $1.5 billion Anthropic settlement, some authors were dissatisfied with that resolution -- it doesn't hold AI companies accountable for the actual act of using stolen books to train their models, which generate billions of dollars in revenue. The plaintiffs in the new lawsuit say the proposed Anthropic settlement "seems to serve [the AI companies], not creators."

"LLM companies should not be able to so easily extinguish thousands upon thousands of high-value claims at bargain-basement rates, eliding what should be the true cost of their massive willful infringement."

[ Read more of this story ]( https://yro.slashdot.org/story/25/12/23/2254257/john-carreyou-and-other-authors-bring-new-lawsuit-against-six-major-ai-companies?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

Under pressure from the Digital Markets Act, Apple's iOS 26.3 adds AirPods-style proximity pairing and notification support for third-party accessories in the EU. The changes will roll out to European users in 2026. MacRumors reports: The Digital Markets Act requires Apple to provide third-party accessories with the same capabilities and access to device features that Apple's own products get. In iOS 26.3, EU wearable device makers can now test proximity pairing and improved notifications.

Here are the new capabilities that Apple is adding:
- Proximity pairing - Devices like earbuds will be able to pair with an iOS device in an AirPods-like way by bringing the accessory close to an iPhone or iPad to initiate a simple, one-tap pairing process. Pairing third-party devices will no longer require multiple steps.
- Notifications - Third-party accessories like smart watches will be able to receive notifications from the iPhone. Users will be able to view and react to incoming notifications, which is functionality normally limited to the Apple Watch. Notifications can only be forwarded to one connected device at a time, and turning on notifications for a third-party device disables notifications to an Apple Watch.

[ Read more of this story ]( https://devices.slashdot.org/story/25/12/23/2247241/ios-263-brings-airpods-like-pairing-to-third-party-devices-in-eu-under-dma?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

An anonymous reader quotes a report from TechCrunch: Across Uzbekistan, a network of about a hundred banks of high-resolution roadside cameras continuously scan vehicles' license plates and their occupants, sometimes thousands a day, looking for potential traffic violations. Cars running red lights, drivers not wearing their seatbelts, and unlicensed vehicles driving at night, to name a few. The driver of one of the most surveilled vehicles in the system was tracked over six months as he traveled between the eastern city of Chirchiq, through the capital Tashkent, and in the nearby settlement of Eshonguzar, often multiple times a week. We know this because the country's sprawling license plate-tracking surveillance system has been left exposed to the internet.

Security researcher Anurag Sen, who discovered the security lapse, found the license plate surveillance system exposed online without a password, allowing anyone access to the data within. It's not clear how long the surveillance system has been public, but artifacts from the system show that its database was set up in September 2024, and traffic monitoring began in mid-2025. The exposure offers a rare glimpse into how such national license plate surveillance systems work, the data they collect, and how they can be used to track the whereabouts of any one of the millions of people across an entire country. The lapse also reveals the security and privacy risks associated with the mass monitoring of vehicles and their owners, at a time when the United States is building up its nationwide array of license plate readers, many of which are provided by surveillance giant Flock.

[ Read more of this story ]( https://yro.slashdot.org/story/25/12/23/2220226/inside-uzbekistans-nationwide-license-plate-surveillance-system?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

На конференции Linux Plumbers Conference 2025 инженеры компании Meta* рассказали о преимуществах использования scx_lavd на своих серверах. В докладе объясняют, какие сложности возникают при выборе планировщика и почему алгоритм для переносного игрового устройства интересен для решения задач в дата-центрах.

scx_lavd (Latency-criticality Aware Virtual Deadline scheduler) разрабатывается по контракту с Valve для использования в Steam Deck. Он основан на механизме sched_ext ядра Linux, который позволяет реализовывать планировщики с помощью BPF и динамически подключать их «на лету».

Попробовать scx_lavd и другие scx планировщики можно самостоятельно, следуя инструкциям [ scx ]( https://github.com/sched-ext/scx ) для своего дистрибутива.

* Meta, в том числе ее продукты Facebook и Instagram, признана экстремистской организацией в России.

https://www.linux.org.ru/news/linux-general/18176898

Ресурс Phoronix сравнил производительность графических операций при использовании видеокарты Radeon HD 7950 в окружении Ubuntu 25.10 с ядром Linux 6.18 с драйвером Radeon и ядром 6.19-rc1 с драйвером AMDGPU в конфигурации c Mesa 26.0-devel. Ядро 6.19, релиз которого ожидается в феврале, примечательно активацией по умолчанию драйвера AMDGPU для видеокарт семейства GCN 1.0 "Southern Island" и 1.1 "Sea Islands".

https://www.opennet.ru/opennews/art.shtml?num=64481