Apple has unveiled the $299 HomeView, a 7-inch smart display that combines Siri AI, FaceTime, customizable widgets, and Apple Home controls in a countertop or wall-mounted design. It also acts as a Matter controller and Thread Border Router, supports up to six facial-recognition profiles, and can use personal context from messages, calendars, and email when paired with a nearby Apple Intelligence-capable iPhone. The Verge reports: The device's square shape makes it feel less imposing than larger smart displays like Google's Nest Hub Max or Amazon's Echo Show 11, and I can see it fitting nicely on my kitchen counter -- though it might be a hair too big for my bedside table. The HomeView is the centerpiece of Apple's new push into the home. It costs $299 and launches alongside a new collection of cameras, thermostats, and a door lock designed for Apple Home.

As a smart home hub, Matter controller, and Thread Border Router, the HomeView can orchestrate these and other Apple Home and Matter smart home devices. It's available in eight countries at launch: the US, UK, Canada, Australia, New Zealand, Singapore, South Africa, and India. Pre-orders are open now, with devices shipping November 13th.

An anonymous reader quotes a report from Yahoo Finance: Microsoft has debuted its latest AI chip, the Azure Maia 300, as it looks to reduce its reliance on third-party processors from the likes of Nvidia and AMD. Unveiled at the OCP Global Summit 2026 in San Jose on Monday, the Maia 300 will join Microsoft's Maia 200 and Maia 100 chips as part of what the company said will be multigigawatt deployments beginning next year. The Windows maker said that will make its Maia chips the "primary AI inference system for Microsoft products and services."

The company said Maia 300 provides 40% more tokens per megawatt than "leading GPU-based systems," a clear swipe at Nvidia, and that a 96-chip rack offers seven times the rack-scale token throughput of Microsoft's Maia 200. [...] The Maia 200 chip currently powers its Microsoft production workloads, including Microsoft 365 Copilot, as well as OpenAI models, Microsoft's MAI models, and open-source models. That provides 1.7 times more tokens per watt for AI capabilities in Microsoft's Teams, Copilot, and Cowork software versus other GPU-based systems, the company said.

Amazon is reportedly in talks to acquire AI startup Decart in a deal that could value the company at up to $7 billion. Decart's DOS software helps developers optimize AI models for different processors in weeks rather than months, a capability that could be particularly useful to AWS as it pushes its own Trainium chips. SiliconANGLE reports: The company has developed software called DOS, which can help developers to speed up AI training and inference workloads by optimizing their neural networks to run on a specific processor. In most AI workloads, developers must optimize a neural network for the chip they plan to run it on. This process used to take months, but with DOS, the workflow necessary to do this can be compressed into just a couple of weeks. As a result, companies can use Decart's software to shift AI workloads to different processors if their requirements change, or if chip availability becomes an issue.

In addition to DOS, Decart is also a model developer, responsible for creating the Lucy and Oasis world models, which are designed to generate and simulate realistic three-dimensional environments for video games, robotic training and other use cases. It's still possible another suitor could emerge and outbid Amazon. Last month, Anthropic PBC was reportedly engaged in talks to buy Decart, according to a report by Bloomberg. However, it ultimately pulled out of a reported $6 billion deal after conducting due diligence on the startup. It's not clear what ultimately dissuaded Anthropic from pursuing a deal. The Wall Street Journal first reported (paywalled) the news.

PC shipments fell 20.1% year over year to 62.7 million units in the third quarter of 2026, the worst Q3 decline IDC has recorded. "The top three PC makers -- Lenovo, Dell, and HP -- also saw their shipments fall by over 20% year over year," reports PCMag. From the report: "If looking at all quarters, then we have seen other quarters in recent years with larger declines, such as 2022Q4, which was -28.2%, and 2023Q1, which was -28.7%. Both were coming off pandemic highs," IDC Director Jitesh Ubrani told PCMag in an email. The numbers aren't a great sign, since third-quarter PC shipments usually outpace those in the second quarter as vendors introduce new products ahead of the holiday shopping season. Instead, PC shipments were at 62.7 million units, down 9.1% from the previous quarter.

[...] Of course, the downturn isn't a surprise. IDC and other research firms have warned that the ongoing AI-driven memory shortage threatens to sap demand for PCs and phones due to soaring memory and storage costs. "What we're seeing is the result of the strong first half pull-in. Vendors and channels loaded up on inventory early in the year to get ahead of [memory-related] price hikes, and that has thrown off the usual seasonality, where Q3 is typically larger than Q2," Ubrani said in a report covering IDC's preliminary estimates for the quarter.

In one bright spot, Ubrani said vendors and retailers might cut prices to generate interest and clear out products they have in stock. "Channels are now worried about carrying too much inventory into a market where high prices are suppressing demand. That could translate into promotions and some short-term relief for consumers, but we don't expect pricing anywhere near what it was a year ago. Prices will remain elevated," he added.

"This year, nearly the entire fleet of 94 U.S. nuclear reactors has been offered the chance to integrate AI into its operations, and most have taken it," reports IEEE Spectrum: In August, California-based Atomic Canyon launched NIVA, the Nuclear Industry Virtual Assistant, which was developed in cooperation with nuclear-industry groups. The assistant was pilot-tested in nuclear plants run by Constellation Energy and is now available to the United States' entire fleet of reactors.... Meanwhile, the AI-for-nuclear startup Nuclearn says its products have gone to work with more than 65 U.S. partners, a total that includes many traditional plants but also an integration with NuScale Power Corp. that is working toward advanced small nuclear reactors. Microsoft and Nvidia have collaborated on a project to apply AI toward optimizing "the entire life cycle of a nuclear plant, spanning site permitting, design, construction, and continuous operations."

The reason for the rapid adoption, according to Nuclearn CFO and cofounder Jerrold Vincent, is twofold. First, the technology companies banking their futures on AI are also keen on a revival of nuclear power to provide the electricity for all those data centers. Vincent says AI is also ideal for addressing some of the nuclear industry's most pressing problems. Many of the things that make reactors so difficult to operate — intricate regulations, along with complex systems for management and maintenance — are exactly the kinds of tasks that AI is good at. The industry is staggering to deal with aging hardware and an aging workforce. If it is going to survive, and have a real shot at a nuclear revival, it will need help from machine intelligence, Vincent says...

Right now, the principal output of a nuclear reactor (aside from electricity) is paperwork. Nuclear plants produce piles of documentation to demonstrate regulatory compliance and to record how they respond to any potential problem, from a crack in the sidewalk to a fault in the reactor... Nuclearn's AI products help plants search through large repositories of data more efficiently to more quickly file paperwork with the federal government or figure out how a particular problem was solved in the past. "If you think of it as ChatGPT for nuclear," he says, "it's actually not a bad place to start."
It's especially important because the nuclear power industry "has a remarkably skilled but quickly shrinking workforce tasked with keeping old reactors online and possibly starting up new ones to meet surging demand for electricity," the article points out.

It also stresses that "So far, both the Nuclearn and NIVA large language models used in the nuclear world report to humans and don't go anywhere near power plant operations."

"Video game console sales in the U.S. have cratered," reports Tom's Hardware, with sales through August far below where they'd been in 2025: Mat Piscatella, the video game industry advisor at research firm Circana, shared the numbers on his Bluesky account — PlayStation 5 sales have dropped by 25%, putting it at its lowest point since 2013, when gamers held off buying PlayStation consoles in anticipation of the arrival of the PS4, while Xbox's retail figures have cratered by 33% YTD, putting its sales numbers at an all-time low since its launch almost 25 years ago.

Piscatella said price sensitivity is becoming a real problem among gamers, especially as the chip shortage has pushed console manufacturers to raise prices. Microsoft has raised the price of the Xbox three times in the past two years, with the 512GB versions jumping by $100 and 1TB models becoming $150 more expensive. Worse, the company has killed off the 2TB model. This brought the Xbox Series S to $499.99 (512GB) and $599.99 (1TB), while the Xbox Series X now costs $749.99 for the Digital Edition, and the disc version costs $50 more at $799.99.

PlayStation fans haven't escaped these price hikes, as Sony raised prices for that console by $100 to $150. The base Digital Edition PS5 now costs $599.99, while the version with an optical drive is priced at $649.99. If you want the PS5 Pro, you'll have to shell out $899.99, while those who want to stream games from their console via the PlayStation Portal must now pay $249.99 — $50 higher than its $199.99 launch price. Even used consoles didn't escape inflation, with Sony bumping the price of refurbished PS5 Slim consoles by $100, bringing them to $399.
"Still, Piscatella says the U.S. hardware market has never been more precarious since the early 1980s."

Phoronix reports on a presentation this week by Meta engineer Gregory Price at the Linux Plumbers Conference in Prague: With today's memory shortages, high prices, and ever increasing memory capacity needs, Meta engineers have been working on Compressed RAM ("CRAM") for Linux.

This hardware-offloaded compression still allows cacheline/byte access to compressed memory and in turn a better implementation than the likes of ZRAM and Zswap. Very promising is that there is near-native performance to raw DRAM speeds with CRAM... For end-users that may already be relying on the likes of Zswap or ZRAM, CRAM is offering near-native DRAM speeds. Read-only data is shown to be as fast as the raw DRAM performance. And for memory writes, CRAM is much faster than ZRAM or Zswap or plain swap.
"Most of the individual pieces needed to support CRAM are already mainline," the article points out. Tom's Hardware writes that "It uses a private NUMA node (essentially, a ghost CPU) instead of pretending to be a block device, and this lets Linux continue using all of its memory semantics, including migration and ballooning, to manage CRAM." Because CRAM is stored in RAM and treated as RAM, with full cacheline/byte access, it can be accessed in a read-only fashion with little delay; just the cost of hardware-offloaded compression... Even when you enable writes, CRAM is still much faster than ZRAM; 5.4x in the worst tested case of 20% writes. That's a huge drop from the 452x read-only case, but keep your context; a 5.4x speedup is still titanic. The massive performance cliff when writes are involved comes down to the need to page fault and migrate folios back to the original NUMA domain, as you can't write directly to compressed data; you'd corrupt everything...

While the obvious target of the work here (given its origin at Meta Platforms) is big Linux servers, ZRAM and Zswap are used all over the Linux ecosystem, even on machines as constrained as the Steam Deck. Many distributions enable one or the other by default. CRAM seems like it could offer a considerable speed-up for some of these machines, so hopefully it finds its way into the kernel once the remaining implementation questions are answered.

At a press event today, Microsoft unveiled the new Surface Laptop Ultra featuring an NVIDIA RTX Spark platform with a Blackwell-based GPU capable of up to one petaflop of AI compute. The laptop supports up to 128GB of unified memory for running models as large as 120 billion parameters locally, while also adding a 15-inch mini-LED display, expanded ports, upgraded cooling, and support for hundreds of AAA games. It's available for pre-order today starting at $2,599. Neowin reports: To keep the device's temperature under control, Microsoft has also developed a new cooling system that offers up to 2.5 times the thermal capacity of the 15-inch Surface Laptop 7th Edition. The Surface Laptop Ultra comes with a 15-inch PixelSense Ultra mini-LED touchscreen with a 3:2 aspect ratio, a pixel density of 262 PPI, and peak HDR brightness of up to 2,000 nits.

Despite its beefy specs, the Surface Laptop Ultra measures less than 18mm thick and weighs under 4.5 pounds (around 2kg). The laptop will be available in Platinum and Nightfall finishes. Microsoft has also increased the size of the precision haptic touchpad by more than 30% compared to the Surface Laptop 7th Edition for improved haptic input. The Surface Laptop Ultra includes a broader selection of ports, featuring USB-C, USB-A, HDMI, a 3.5mm headphone jack, and a full-size SD card reader. It also features the world's first built-in USB-C magnetic charging.

An anonymous reader quotes a report from Reuters: Google has contracted for 3,590 megawatts of power from Constellation Energy on the largest US power grid, with new nuclear energy accounting for about a quarter of that supply, the companies said on Tuesday. Constellation will make more than $4.3 billion of new investments in its fleet as part of the agreement, which involves adding capacity at several of the power company's nuclear reactors in the Midwest and Mid-Atlantic regions, the companies said.

[...] Over the last two years, Constellation unveiled an agreement to restart its Three Mile Island reactor in Pennsylvania to serve Microsoft data centers, while Google contracted to restart NextEra Energy's nuclear power plant in Iowa. In the latest arrangement, Google entered into a 20-year power purchase agreement for 890 megawatts of electricity from multiple Constellation-owned nuclear power plants, which would be upgraded to produce more electricity from existing reactors. Electricity from the first of the upgraded plants is expected to be delivered in 2028, the companies said.

Google also entered into a 15-year supply agreement for an additional 2,700 megawatts of power from Constellation in the PJM power grid. That power is not tied to a specific generation source and serves as long-term revenue certainty for Constellation's operating plants, Google said. Maryland-based Constellation is the largest US nuclear power plant operator and owns a major fleet of natural-gas-fired power plants as well as geothermal energy following its acquisition of electricity producer Calpine Corp earlier this year. [...] The 11 nuclear units expected to be upgraded as part of the arrangement with Google are in Illinois, Pennsylvania, and New Jersey, within the footprint of the largest US electric grid -- PJM Interconnection. Joe Dominguez, chairman, president and CEO of Constellation, said the arrangement with Google is a "model for how technology companies and the energy industry can work together to responsibly develop the digital economy and invest in our nation's energy infrastructure in a way that delivers grid-wide benefits for all, funded by private entities."

A new open-source command-line tool called RemoveMacAI lets macOS 27 users disable Apple Intelligence and reclaim around 12GB or more of storage. MacRumors reports: In macOS 27, Apple removed the toggle to disable Apple Intelligence wholesale, and simply disabling individual features doesn't remove the models from your Mac's drive. As explained by the developer, RemoveMacAI gets around this by using a configuration profile to switch off Apple's own asset management service and remove the models.

It then configures the system so attempts to download the removed models are redirected to a closed local port, preventing them from immediately coming back. And it does all this without disabling System Integrity Protection (SIP) or manually deleting files from protected system locations, unlike some older tools have. The tool can free up roughly 12GB of space depending on which models are present on your Mac. That said, some users are reporting cases of Apple Intelligence models having taken up a lot more space, which they've now reclaimed.

Apple says it will tighten macOS Full Disk Access controls as increasingly capable AI agents raise the risks of apps gaining broad access to users' files, messages, mail, and browsing history. TechCrunch reports: Days after a journalist claimed that Meta's Muse app on Mac read their private messages -- a claim that Meta disputed -- Apple announced that it's introducing additional controls around a setting called "Full Disk Access" on macOS. The feature was designed to allow backups to function properly, but AI agents have now increased "the risks associated with this level of access," Apple said. [...] In Muse's case, the AI optionally allows users to enable Full Disk Access. This setting, Apple explains, gives an app permission to access files, mail, messages, and even browsing history.

"Some developers are using Full Disk Access in ways that could put users at risk, exposing everything on their systems... without users' full knowledge and understanding," Apple said in a new blog post aimed at developers. The company says that, going forward, it will introduce new controls aimed at ensuring that users who "genuinely wish to grant an app this extraordinary level of access" can do so only with "every explicit user action."

"Addressing this is critical. As AI agents become increasingly capable and autonomous, the risks associated with this level of access will grow substantially. We are committed to ensuring users clearly understand these risks before granting such access, so they can make informed decisions about their own data and privacy," Apple wrote.

AmiMoJo shares a report from heise online: Anyone buying used hardware for a gaming PC needs to be careful: not just whether the components are still in order but also what the previous owner did with them. A case on Reddit shows this. Someone installed a used AMD processor, a Ryzen 7 5800X3D, in their PC. Because the previous owner was caught cheating, the new owner cannot start several online games.

The problem was noticed in the first-person shooter "Valorant" from the development studio Riot. Right from the first start, the new owner was kicked out directly, according to their statement. Riot support confirmed that the previous owner had cheated. The processor is therefore on an internal blacklist -- and, with its installation in the PC, now apparently also some other components like the mainboard. Riot support does not remove such entries manually.

In addition to "Valorant," all other PC games from Riot are affected: the strategy game "League of Legends," the auto-battler "Teamfight Tactics," the card game "Legends of Runeterra," the fighting game "2XKO," and likely future titles as well. Riot's "Vanguard" anti-cheat system traditionally runs deep in the Windows kernel and starts with the PC, but a June 2026 update allows it to launch with a game if security features such as TPM and Secure Boot are enabled.

It's unclear how Riot uniquely identifies processors, though possibilities include hardware fingerprinting based on chip behavior or storing identification hashes in the Trusted Platform Module (TPM), which Vanguard accesses in the newer mode.

Micron says the global RAM and storage shortage will tighten further through 2027 and 2028, with CEO Sanjay Mehrotra saying the company has already sold most of next year's capacity. "In calendar 2027 as well as 2028, we see demand exceeding supply. In fact, we see greater tightness in the industry in 2027 and in 2028 versus 2026. Overall, supply-demand environment is only getting tighter," Mehrotra said. "We do not have line of sight to when supply and demand will return to balance." As a result, the company is forecasting record revenue and an 86.25% gross margin. Tom's Hardware reports: The memory and storage industry is not holding back on increasing production, though, with Micron saying that NAND and DRAM shipments are expected to grow in the low-to-mid 20s percentage range for the next two years. However, it seems that this is not enough to match growing demand, as it expects "the industry to remain supply constrained in both years." Still, it seems that manufacturers are prioritizing HBM demand for AI data centers, with the company expecting shipments of these chips to grow faster than conventional DRAM.

Micron and other chip manufacturers are bringing new factories online to increase output, but it's going to take years before they can start producing chips. But even as we're amid an unprecedented multi-year memory chip shortage, Micron also announced record financial guidance. It forecasted a record $61.5 billion FQ1 revenue and a gross margin of 86.25%, implying a gross profit of more than $53 billion. After accounting for an estimated $2.06 billion in operating expenses and a tax rate of around 15.5%, the company said its earnings per share sit at $38.15, plus or minus $1.00, for approximately 1.15 billion shares.

HP is taking aim at Apple's MacBook Neo with the new OmniBook 5 14, a $699.99 Windows laptop that starts with an Intel Core 5 315 processor, 8GB of RAM and 256GB of storage but includes an OLED display even on the base model. It's also slightly thinner and lighter than the Neo. The Verge reports: The OmniBook 5 14 can be configured much higher, with up to a Core 7 350 chip, 16GB of RAM, and a 1TB SSD, but all models include a 1080p webcam, dual speakers, HDMI, 3.5mm audio jack, and just two 10Gbps USB-C ports. And while the inclusion of OLED across the range is a major draw to the new OmniBook, the base config only has a passable 1920 x 1200 resolution and 300 nits of max brightness on its non-touch panel. A touchscreen version will be available when the OmniBook 5 launches in October, but a version with a 2560 x 1600 resolution OLED and 400 nits of brightness isn't coming until March 2027.

While the OmniBook 5 14 doesn't seem poised to best the MacBook Neo in raw processing power (based on our other reviews of Wildcat Lake laptops) or screen brightness, it's quite thin, light, and colorful. HP even gave it the nicer, sleeker lid logo usually reserved for pricier models. It starts at just 2.56 pounds, and it's as thin as 0.46 inches / 11.7mm. That's slightly lighter and thinner than a Neo. And I'd expect its Wildcat Lake chips to offer some good-to-great battery life. But we'll have to see how it delivers in actual testing. HP also announced a new ProBook 4 G2iS that is the company's "thinnest business notebook," measuring in at 0.47 inches / 12mm. It'll launch in December with Intel Wildcat Lake chips, 8GB of RAM, and a 256GB SSD, though pricing hasn't been announced.

wiredmikey shares a report from SecurityWeek: Nvidia on Monday announced the Open Agent Safety Platform, which combines open source software and a reference system design to keep AI agents within set boundaries from testing through deployment. The chipmaker explained that the platform pairs the open-source OpenShell runtime with Sentry, an out-of-band watchdog running on BlueField-4 DPUs. Nvidia says Sentry can monitor agent activity independently and quarantine an agent that crosses its boundaries within milliseconds.

Nvidia is pitching the platform against a backdrop of recent incidents in which frontier AI labs have reported agents escaping the evaluation environments meant to contain them, reaching systems they should not have accessed and, in some cases, misreporting what they did. OpenShell and related skills are available via Nvidia's developer resources page and on GitHub.