"Reservation holders, it's finally time to get ready," writes long-time Slashdot reader AirHog. The EV news site Electrek reports: Aptera Motors, "the little startup that could," announced another important milestone... completing the first example of its flagship solar EV on its validation assembly line in Southern California...

While the validation line at its headquarters remains a low-volume assembly process, its successful operation represents the startup's transition from hand-built validation SEVs to a more structured assembly line process that will be fine-tuned for mass production... With low-volume assembly now being validated, Aptera is starting to publicly utter encouraging terms like "EPA certification" and, better yet, that holy grail of "initial customer deliveries." Before then, however, the Aptera Solar EVs built on this low-volume validation line will be used for testing programs such as thermal validation, brake performance, and "some destructive testing." Aptera shared that its assembly and integration team has grown to become the largest at the startup, "reflecting the beginning of its transition from engineering development to testing and production execution"...

As of March 2026, Aptera says it has over 50,000 reservations totaling over $2 billion in sales if all were to solidify following the launch of a deliverable vehicle.
Clean Technica notes the vehicles' "generous cargo space that comes out to 60% more storage than a Honda Accord and 20% more storage than a Prius, according to the company." "Built with recyclable materials, this eco-friendly vehicle features a lightweight carbon fiber structure and no-welding assembly for maximum cost and production efficiency," Aptera adds. The emphasis on lightweighting supports the goal of engineering a car that can travel on the electricity provided by its onboard solar panels.

The company currently advertises that the vehicle can travel 40 miles on solar power alone, with the battery providing extra juice as needed. Ideally, the car can keep recharging itself with sunlight, further elongating the time between charging sessions... [Its range is up to 1,000 miles with plug-in charging.] The new autocycle could also appeal to drivers who enjoy the challenge of hypermiling, which involves deploying a suite of driving techniques to minimize fuel consumption. Hypermiling can apply to gas-powered cars, but the magic really kicks in with the regenerative braking capability of EVs. Aptera's onboard solar panels add another dimension to the fun.

An anonymous reader quotes a report from 80 Level: Microsoft has officially confirmed development of its next-generation Xbox console, currently known internally as Project Helix. While concrete details remain limited, early information suggests the company is positioning the device as a hybrid between a traditional console and a gaming PC, capable of running both Xbox titles and PC games. The codename was revealed recently by new Xbox CEO Asha Sharma, who reaffirmed Microsoft's continued commitment to dedicated gaming hardware despite speculation that the company might shift entirely toward cloud or platform-based ecosystems. According to Sharma, Project Helix represents the next step in Xbox's console strategy.

Although official specifications have not yet been announced, early reports indicate the system will likely rely on a new AMD system-on-chip combining Xbox hardware with PC-style architecture. The device is expected to emphasize high performance while maintaining compatibility with existing Xbox game libraries. [...] If the concept holds, Project Helix could mark a significant shift in how console ecosystems are structured, moving away from tightly closed hardware platforms toward something closer to a unified PC-console environment. Sharma wrote in a post on X: "Great start to the morning with Team Xbox, where we talked about our commitment to the return of Xbox, including Project Helix, the code name for our next generation console. Project Helix will lead in performance and play your Xbox and PC games. Looking forward to chatting about this more with partners and studios at my first GDC next week!"

An anonymous reader quotes a report from Ars Technica: AMD has been selling "Ryzen AI"-branded laptop processors for around a year and a half at this point. In addition to including modern CPU and GPU architectures, these are attempting to capitalize on the generative AI craze by offering chips with neural processing units (NPUs) suitable for running language and image-generation models locally, rather than on some company's server. But so far, AMD's desktop chips have lacked both these higher-performance NPUs and the Ryzen AI label. That changes today, at least a little: AMD is announcing its first three Ryzen AI chips for desktops using its AM5 CPU socket. These Ryzen AI 400-series CPUs are direct replacements for the Ryzen 8000G processors, rather than the Ryzen 9000-series, and they combine Zen 5-based CPU cores, RDNA 3.5 GPU cores, and an NPU capable of 50 trillion operations per second (TOPS). This makes them AMD's first desktop chips to qualify for Microsoft's Copilot+ PC label, which enables a handful of unique Windows 11 features like Recall and Click to Do.

The six chips AMD is announcing today -- the 65 W Ryzen AI 7 Pro 450G, Ryzen AI 5 Pro 440G, and Ryzen AI 5 Pro 435G, along with low-power 35 W "GE" variants -- all bear AMD's "Ryzen Pro" branding as well, which means they support a handful of device management capabilities that are important for business PCs managed by IT departments. At this point, it doesn't seem as though AMD will be offering boxed versions to regular consumers; the Ryzen AI desktop chips will appear mainly in business PCs that don't need a dedicated graphics card but still benefit from more robust graphics than AMD offers in regular Ryzen desktop CPUs. Like past G-series Ryzen chips, these are essentially laptop silicon repackaged for desktop systems. They share most of their specs in common with Ryzen AI 300 laptop processors, despite their Ryzen AI 400-series branding. The two chip generations are extremely similar overall, but the Ryzen AI 400-series laptop CPUs include slightly faster 55 TOPS NPUs.

OpenAI today released GPT-5.4, an upgraded ChatGPT model designed to be faster, cheaper, and more accurate for workplace tasks. The update also introduces tools that let ChatGPT work directly inside Excel and Google Sheets. Axios reports: GPT-5.4 is designed to be less error-prone, more efficient and better at workplace tasks like drafting documents, OpenAI said. The new model can create files in fewer tries with less back-and-forth than prior models, the company said. GPT-5.4 outperformed office workers 83% of the time on GDPval, an OpenAI benchmark measuring performance on real-world tasks across 44 occupations.

The model can also solve problems using fewer tokens, OpenAI says -- which can translate to faster responses and lower costs. The company is also debuting OpenAI for Financial Services, a set of new tools that includes the version of ChatGPT that runs inside spreadsheets and new apps and skills within ChatGPT. Partners include FactSet, MSCI, Third Bridge and Moody's.

An anonymous reader quotes a report from TechCrunch: At the Morgan Stanley Technology, Media and Telecom conference in downtown San Francisco Wednesday, Nvidia CEO Jensen Huang said his company's recent investments in OpenAI and Anthropic are likely to be its last in both, saying that once they go public as anticipated later this year, the opportunity to invest closes. It could be that simple. While firms sometimes pile into companies until practically the eve of their public debut in search of more upside, Nvidia is minting money selling the chips that power both companies -- it's not like it needs to goose its returns by pouring even more money into either one.

Nvidia, for its part, isn't offering much more on the matter. Asked for comment earlier today following Huang's remarks, a spokesman pointed TechCrunch to a transcript from the company's fourth-quarter earnings call, where Huang said all of Nvidia's investments are "focused very squarely, strategically on expanding and deepening our ecosystem reach," a goal its earlier stakes in both companies have arguably met. Still, a few other dynamics might also explain the pullback, including the circular nature of these arrangements themselves. [...] Meanwhile, Nvidia's relationship with Anthropic has looked fraught in its own right. Just two months after Nvidia announced a $10 billion investment in November, Anthropic CEO Dario Amodei took the stage at Davos and, without naming Nvidia directly, compared the act of U.S. chip companies selling high-performance AI processors to approved Chinese customers to "selling nuclear weapons to North Korea." Ouch. [...]

Where that leaves Nvidia is holding stakes in two companies that, at this particular moment, are pulling in very different directions, and potentially dragging customers and partners along for the ride. Whether Huang saw any of this coming, given Nvidia's web of partnerships, is impossible to know. But his stated reason on Wednesday for likely pulling the plug on future investments -- that the IPO window closes the door on this kind of deal -- is hard to square with how late-stage private investing actually works. What's looking more probable is that this is an exit from a situation that has gotten really complicated, really fast.

joshuark writes: The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has added a VMware Aria Operations vulnerability tracked as CVE-2026-22719 to its Known Exploited Vulnerabilities catalog, flagging the flaw as exploited in attacks. VMware Aria Operations is an enterprise monitoring platform that helps organizations track the performance and health of servers, networks, and cloud infrastructure. The flaw has now been added to the CISA's Known Exploited Vulnerabilities (KEV) catalog, with the U.S. cyber agency requiring federal civilian agencies to address the issue by March 24, 2026. Broadcom said it is aware of reports indicating the vulnerability is exploited in attacks but cannot confirm the claims.

"A malicious unauthenticated actor may exploit this issue to execute arbitrary commands which may lead to remote code execution in VMware Aria Operations while support-assisted product migration is in progress," the advisory explains. Broadcom released security patches on February 24 and also provided a temporary workaround for organizations unable to apply the patches immediately. The mitigation is a shell script named "aria-ops-rce-workaround.sh," which must be executed as root on each Aria Operations appliance node. There are currently no details on how the vulnerability is being exploited in the wild, who is behind it, and the scale of such efforts.

Intel has formally unveiled its Xeon 6+ "Clearwater Forest" data-center processor with up to 288 cores, built on the company's new Intel 18A process and using Foveros Direct packaging. The chip targets telecom, cloud, and edge-AI workloads with massive parallelism, large caches, and high-bandwidth DDR5-8000 memory. Tom's Hardware reports: Intel's Xeon 6+ processors with up to 288 cores combine 12 compute chiplets containing 24 energy-efficient Darkmont cores per tile that are produced using 18A manufacturing technology, two I/O tiles made on Intel 7 production node, as well as three active base tiles made on Intel 3 fabrication process. The compute tiles are stacked on top of the base dies using Intel's Foveros Direct 3D technology, whereas lateral connections are enabled by Intel's EMIB bridges.

Intel's 'Darkmont' efficiency cores have received rather meaningful microarchitectural upgrades. Each core integrates a 64 KB L1 instruction cache, a broader fetch and decode pipeline, and a deeper out-of-order engine capable of tracking more in-flight operations. The number of execution ports has also been increased in a bid to improve both scalar and vector throughput under heavily threaded server workloads.

From a cache hierarchy standpoint, the design groups cores into four-core blocks that share approximately 4 MB of L2 cache per block. As a result, the aggregate last-level cache across the full package surpasses 1 GB, roughly 1,152 MB in total. This unusually large pool is intended to keep data close to hundreds of active cores and reduce dependence on external memory bandwidth, which in turn is meant to both increase performance and lower power consumption. Platform-wise, the processor remains drop-in compatible with the current Xeon server socket, so the CPU has 12 memory channels that support DDR5-8000, 96 PCIe 5.0 lanes with 64 lanes supporting CXL 2.0.

Google is accelerating Chrome's major release cadence from four weeks to two starting with version 153 on September 8th. "...our goal is to ensure developers and users have immediate access to the latest performance improvements, fixes and new capabilities," says Google. "Building on our history of adapting our release process to match the demands of a modern web, Chrome is moving to a two-week release cycle." The company says the "smaller scope" of these releases "minimizes disruption and simplifies post-release debugging." They also cite "recent process enhancements" that will "maintain [Chrome's] high standards for stability." 9to5Google reports: There will still be weekly security updates between milestones. This applies to desktop, Android, and iOS, while there are "no changes to the Dev and the Canary channels": "A Chrome Beta for each version will ship three weeks before the stable release. We recommend developers test with the beta to keep up to date with any upcoming changes that might impact your sites and applications."

The eight-week Extended Stable release schedule for enterprise customers and Chromium embedders will not change. Chromebooks will also have "extended release options": "Our priority is a seamless experience, so the latest Chrome releases will roll out to Chromebooks after dedicated platform testing. We are adapting these channels for the new two-week browser cycle and we will share more details soon regarding milestone updates for managed devices."

Accenture is acquiring Downdetector parent company Ookla from Ziff Davis in a $1.2 billion deal to bolster its network analytics and visibility tools for telecoms, hyperscalers, and enterprises. "The deal, which will transfer all of Ziff Davis's Connectivity division to Accenture, includes Ookla's Speedtest, Ekahau, and RootMetrics," notes The Register reports: "Modern networks have evolved from simple infrastructure into business-critical platforms," said Accenture CEO Julie Sweet in a canned statement. "Without the ability to measure performance, organizations cannot optimize experience, revenue, or security." Ookla is meant to let them do just that.

Data captured at the network and device layer are used to enhance fraud prevention in banking, smart homes monitoring, and traffic optimization in retail, Accenture said. Ookla's platform, which lets user's test their own connectivity speed, captures more than 1,000 attributes per test, and provides the foundation for those analytics, Accenture said.

Today, Apple updated the MacBook Pro and MacBook Air with support for its new M5 chips. It also unveiled a pair of all-new Studio Display XDR monitors. Longtime Slashdot reader jizmonkey shares details about the M5 Pro and M5 Max chips, which look to be fairly major updates from the previous generation: Apple announced its newest CPUs today, which it claims has the fastest single-threaded performance in the world. Both the M5 Pro and M5 Max have eighteen-core designs, versus twelve or fourteen in the M4 Pro and fourteen or sixteen in the M4 Max. However, the number of higher-performing cores has been reduced significantly. In the older M4 designs, the chips had eight, ten, or twelve "performance" cores and four "efficiency" cores. In the M5 design, there are now only six higher-performing cores (now called "super" cores) and twelve lower-performing cores (now called "performance" cores). [Apple positions this "reduction" as a redesigned architecture with new core types.] The maximum amount of RAM remains the same at 128GB for the M5 Max (64GB for the M5 Pro), and GPU performance has increased. [The M5 Pro features up to a 20-core GPU, while the M5 Max scales up to 40 cores, each equipped with a Neural Accelerator. Apple also says the new architecture delivers over 4x peak GPU compute for AI compared to the previous generation, along with up to 35 percent faster performance in ray-traced graphics workloads.] Laptops with the new chips are available to order starting tomorrow and will be delivered starting March 11. As for the new XDR monitors, MacRumors highlights some of the key features in its reporting: Apple today introduced an all-new Studio Display XDR monitor with a 27-inch screen, mini-LED backlighting, 5K resolution, peak brightness of 2,000 nits for HDR content, up to a 120Hz refresh rate, Thunderbolt 5, and more. The new Studio Display XDR replaces Apple's former Pro Display XDR, which has been discontinued. Going forward, there are now two Studio Display models.

Both new Studio Display models have the same overall design as the original model. Both models have a 12-megapixel Center Stage camera, but it now supports Desk View on the new models. Both models also feature an upgraded six-speaker system, with Apple advertising "30 percent deeper bass" compared to the previous model. Only the higher-end Studio Display XDR received a 120Hz refresh rate, mini-LED backlighting, increased brightness, and faster 140W pass-through charging. The regular Studio Display still has a 60Hz refresh rate and up to 600 nits of brightness. Both models have 27-inch displays with a 5K resolution.

The new Studio Displays can be pre-ordered starting Wednesday, March 4, ahead of a Wednesday, March 11 launch. In the U.S., the regular Studio Display continues to start at $1,599, while the Studio Display XDR starts at $3,299.

Apple today announced the iPhone 17e with support for MagSafe and an upgraded A19 chip. The base model also gets a bump to 256GB of storage at $599, and Apple is equipping the device with its new scratch-resistant Ceramic Shield 2 glass that's supposedly 3x more durable than the 16e. Macworld reports: MagSafe would normally mean significantly faster wireless charging speeds too: the 16e is capped at 7.5W, whereas recent iPhones can wirelessly charge using MagSafe at up to 22W or even 25W. Unfortunately the iPhone 17e has not been given access to the full extent of MagSafe's powers in this regard, and has a limit of 15W. That's the same as MagSafe on the iPhones 12 through 15, and remains an improvement on the 16e, but is still disappointing. [...]

It was also expected that the 17e would get a new processor, as this is a standard upgrade for almost every refresh of almost every Apple product. The iPhone 16e came with an A18 chip; the 17 has an A19, which, according to Apple, "delivers exceptional performance for everything users do." Of course that depends on the user and their needs, and it's important to point out that, just like last year, Apple has chosen to use "binned" units of the chip in order to save money. Binned chips have failed manufacturing tests in some minor way and don't have the full complement of cores. [...]

And although the cameras are still disappointingly few in number -- one on the front and one on the back -- the wording for the portrait mode has been updated from "Portrait mode with Depth Control" (the same as on the iPhone 12) to "Next-generation portraits with Focus and Depth Control" (same as on the iPhone 17). This appears to highlight the fact that you can change the focus point. The 17e is available in white, black, and soft pink starting at $599.

"The drought of upcoming Star Wars movies is coming to an end soon," writes Cinemablend. In May the The Mandalorian and Grogu opens, and one year later there's the release of the Ryan Gosling-led Star Wars: Starfighter.

But "there are some insiders who already believe that Starfighter will be a bigger hit than The Mandalorian and Grogu..." According to unnamed sources who spoke with Variety, there's a "sense" that Star Wars: Starfighter, which is directed by Deadpool & Wolverine's Shawn Levy, will be a more satisfying viewing experience. These same sources are allegedly impressed by the early footage they've seen of Ryan Gosling's performance and also suggested that Levy has "recaptured the franchise's spirit of fun." Furthermore, the article states that there's concern that because The Mandalorian and Grogu is spinning out of a streaming-exclusive series, it might not have as much appeal to people who aren't already fans of The Mandalorian... Star Wars: Starfighter, on the other hand, will be accessible to everyone equally. It's set five years after The Rise of Skywalker, which is an unexplored period for the Star Wars franchise onscreen. It's also expected that most, if not all of its featured characters will be brand-new, so no knowledge of past adventures is required.
Slashdot reader gaiageek reminds us that 2027 will also see a special 50-year anniversary event in movie in theatres: a "newly restored" version of the original 1977 Star Wars.

Researchers at Cortical Labs used living human neurons grown on a chip to learn how to play Doom in about a week. "While its performance is not up to par with humans, experts say it brings biological computers a step closer to useful real-world applications, like controlling robot arms," reports New Scientist. From the report: In 2021, the Australian company Cortical Labs used its neuron-powered computer chips to play Pong. The chips consisted of clumps of more than 800,000 living brain cells grown on top of microelectrode arrays that can both send and receive electrical signals. Researchers had to carefully train the chips to control the paddles on either side of the screen. Now, Cortical Labs has developed an interface that makes it easier to program these chips using the popular programming language Python. An independent developer, Sean Cole, then used Python to teach the chips to play Doom, which he did in around a week.

"Unlike the Pong work that we did a few years ago, which represented years of painstaking scientific effort, this demonstration has been done in a matter of days by someone who previously had relatively little expertise working directly with biology," says Brett Kagan of Cortical Labs. "It's this accessibility and this flexibility that makes it truly exciting."

The neuronal computer chip, which used about a quarter as many neurons as the Pong demonstration, played Doom better than a randomly firing player, but far below the performance of the best human players. However, it learnt much faster than traditional, silicon-based machine learning systems and should be able to improve its performance with newer learning algorithms, says Kagan. However, it's not useful to compare the chips with human brains, he says. "Yes, it's alive, and yes, it's biological, but really what it is being used as is a material that can process information in very special ways that we can't recreate in silicon." Cortical Labs posted a YouTube video showing its CL1 biological computer running Doom. There's also source code available on GitHub, with additional details in a README file.

Tech companies ranging from 300-person startups to giants like Amazon, Google, Meta, Microsoft and Salesforce have moved beyond encouraging employees to use AI tools and are now actively tracking adoption and, in several cases, tying it to performance reviews. Google is factoring AI use into some software engineer reviews for the first time this year, and Meta's new performance review system will do the same -- it can track how many lines of code an engineer wrote with AI assistance.

Amazon Web Services managers have dashboards showing individual engineer AI-tool usage and consider adoption when evaluating promotions. About 42% of tech-industry workers said their direct manager expects AI use in daily work as of last October, up from 32% eight months earlier, according to AI consulting firm Section. At software maker Autodesk, CEO Andrew Anagnost acknowledged that some employees had been using initially blocked coding tools like Cursor stealthily -- and warned that AI holdouts "probably won't survive long term."