There may not be any reports of stick drift with the ROG Xbox Ally yet, but that doesn’t mean there won’t be. If you’d rather not end up with joysticks that have a mind of their own, GuliKit revealed its latest TMR Electromagnet Joystick Modules made specifically for your Xbox handheld.

GuliKit said it worked directly with Asus to develop these joystick upgrades, which match the exact dimensions of the ROG Xbox Ally and Ally X’s stock sticks. The aftermarket accessories company previously designed a Hall effect joystick upgrade kit for the ROG Ally X, but GuliKit said this mod features electromagnetic joysticks that not only address stick drift but are also more precise, durable, and power-efficient. GuliKit even made the joystick upgrades easy to install since there’s no soldering required, and you can fine-tune the calibration in the handheld’s system settings.

It may feel excessive to spend more money on a gaming handheld that can cost up to $1,000, but neither the ROG Xbox Ally nor Ally X comes with Hall effect or electromagnetic joysticks. GuliKit’s joystick upgrade is already available to US customers on its Amazon storefront for $19.99. 

This article originally appeared on Engadget at https://www.engadget.com/gaming/xbox/gulikits-20-mod-makes-the-rog-xbox-allys-joysticks-drift-free-190521030.html?src=rss

Long-time Slashdot reader theodp writes: Last September, tech-backed nonprofit Code.org pledged to engage 25 million K-12 schoolchildren in an “Hour of AI” this school year. Preliminary numbers released this week by the Code.org Advocacy Coalition showed that [halfway through the five-day event Computer Science Education Week] 13.1 million users had participated in the inaugural Hour of AI, attaining 52.4% of its goal of 25 million participants.

In a pivot from coding to AI literacy, the Hour of AI replaced Code.org’s hugely-popular Hour of Code this December as the flagship event of Computer Science Education Week (December 8-14). According to Code.org’s 2024-25 Impact Report, “in 2024–25 alone, students logged over 100 million Hours of Code, including more than 43 million in the four months leading up to and including CS Education Week.”

Minecraft participated with their own Hour of AI lessons. (“Program an AI Agent to craft tools and build shelter before dusk falls in this iconic challenge!”) And Google contributed AI Quests, “a gamified, in-class learning experience” allowing students to “step into the shoes of Google researchers using AI to solve real-world challenges.” Other participating organizations included the Scratch Foundation, Lego Education, Adobe, and Roblox.

And Microsoft contributed two — including one with their block-based programming environment Microsoft MakeCode Arcade, with students urged to “code and train your own super-smart bug using AI algorithms and challenge other AI bugs in an epic Tower battle for ultimate Bug Arena glory!”

See all the educational festivities here…

Read more of this story at Slashdot.

What is the future of work? The Wall Street Journal asked five workplace experts and practitioners.

So while AI “is already doing tasks once relegated to newly minted college graduates in many professions,” the Journal predicts that in the next 20 years AI “will have an impact on the role of managers, how organizations measure business outcomes and accelerate tasks that once took months.”

A senior partner at the consulting firm Mercer predicts AI (plus advances in quantum computing) will enable entrepreneurs to reshape industries with a fraction of the resources traditionally required.

Some other predictions:
Alan Guarino, vice chairman and CEO of board services at the global consulting firm Korn Ferry: In 25 years, the workplace will likely be unrecognizable, with employees and AI operating as one. Yes, there will be tasks and entire jobs taken over by AI, but we will all be elevated to a whole new superpower to make critical and creative decisions. The idea that work was once done strictly by people will seem quaint to some. Tasks that took entire teams, and months to complete, will be crunched down to a few minutes, with success measured on metrics we can’t imagine today.

The middle layers of management — so central to today’s corporate structure — could be a vestige of the past. The role of the leader too will change, as they directly oversee a collaboration of people and intelligent systems. The attitude toward in-person collaboration is growing and 25 years from now, counterintuitively, I believe face-to-face connection won’t just be indispensable, but invaluable. Emotional intelligence will still set leaders apart. Those who blend empathy with tech savvy will be the ones shaping the future.
Peter Fasolo, a former executive vice president and chief human resources officer at Johnson & Johnson, and director of the Human Resource Policy Institute at Boston University’s Questrom School of Business: There will be fewer available workers in Europe, Japan and the U.S. over this time frame and the demographic shift will be profound. In addition, there will be even fewer young adults available for colleges in the U.S., even if they decide the investment is worth it.

The implications of this shift will be the need for more investments in vocational and trade schools, and the need to invest in skill-based, not pedigree-based training. There will also be more on-the-job specific training. Companies will become classrooms. Companies that want a more sustainable relationship with employees will need an investment model versus a transactional one: We will invest in your skills so you can be a competitive professional in your domain.

Read more of this story at Slashdot.

Several of Waymo’s autonomous vehicles were seen stuck in the middle of San Francisco streets following a significant power outage that took out the city’s traffic lights. Waymo responded to the power outage by suspending its ride-hailing services in the city, but images and videos on social media showed the self-driving taxis stopped at intersections with hazard lights on.

“We have temporarily suspended our ride-hailing services in the San Francisco Bay Area due to the widespread power outage,” Suzanne Philion, a spokesperson for Waymo, told Engadget in an email. “Our teams are working diligently and in close coordination with city officials, and we are hopeful to bring our services back online soon.”

The power outage was attributed to a fire at one of Pacific Gas & Electric (PG&E)’s substations. The incident began sometime on Saturday morning, which PG&E said affected approximately 130,000 customers. As of Sunday morning, the Californian power company said its crews have restored power to about 110,000 of those customers, while working on the remaining 21,000 customers in “the Presidio, Richmond District, Golden Gate Park and small areas of downtown San Francisco.”

Waymo hasn’t provided an explanation as to why the power outage left its autonomous cars stranded in San Francisco streets, but this episode may have revealed a notable fault with the Waymo Driver system. Waymo indicates on its website that its autonomous driving system “responds to signs and signals, like traffic light colors and temporary stop signs,” which could indicate that the self-driving cars struggled with the out-of-order street lights. Tesla’s CEO, Elon Musk, also saw an opportunity to chime in on X, posting that “Tesla Robotaxis were unaffected by the SF power outage.”

This article originally appeared on Engadget at https://www.engadget.com/transportation/a-san-francisco-power-outage-left-waymos-self-driving-cars-stranded-at-intersections-172316970.html?src=rss

“In the lead up to its Switch 2 console release, Nintendo updated its user agreement,” writes the Free Software Foundation, warning that Nintendo now claims “broad authority to make consoles owned by its customers permanently unusable.”

“Under Nintendo’s most aggressive digital restrictions management (DRM) update to date, game console owners are now required to give Nintendo the unilateral right to revoke access to games, security updates, and the Internet, at its sole discretion.”

The new agreement states: “You acknowledge that if you fail to comply with [Nintendo’s restrictions], Nintendo may render the Nintendo Account Services and/or the applicable Nintendo device permanently unusable in whole or in part….”

There are probably other reasons that Nintendo has and will justify bricking game consoles, but here are some that we have seen reported:
— “Tampering” with hardware or software in pretty much any way;
— Attempting to play a back-up game;
— Playing a “used” game; or
— Use of a third-party game or accessory…

Nintendo’s promise to block a user from using their game console isn’t just an empty threat: it has already been wielded against many users. For example, within a month of the Switch 2’s release, one user unknowingly purchased an open-box return that had been bricked, and despite functional hardware, it was unusable for many games. In another case, a user installing updates for game cartridges purchased via a digital marketplace had their console disabled. Though it’s unclear exactly why they were banned, it’s possible that the cartridge’s previous owner made a copy and an online DRM check determined that the current and previous owner’s use were both “fraudulent.” The user only had their console released through appealing to Nintendo directly and providing evidence of their purchase, a laborious process.

Nintendo’s new console banning spree is just one instance of the threat that nonfree software and DRM pose to users. DRM is but one injustice posed by nonfree software, and the target of the FSF’s Defective by Design campaign. Like with all software, users ought to be able to freely copy, study, and modify the programs running on their devices. Proprietary software developers actively oppose and antagonize their users. In the case of Nintendo, this means punishing legitimate users and burdening them with proving that their use is “acceptable.” Console users shouldn’t have to tread so carefully with a console that they own, and should they misstep, beg Nintendo to allow them to use their consoles again.

Read more of this story at Slashdot.

An anonymous reader shared this report from CNBC:

The Trump administration on Monday unveiled a new initiative dubbed the “U.S. Tech Force,” comprising about 1,000 engineers and other specialists who will work on artificial intelligence infrastructure and other technology projects throughout the federal government.

Participants will commit to a two-year employment program working with teams that report directly to agency leaders in “collaboration with leading technology companies,” according to an official government website. [“…and work closely with senior managers from companies partnering with the Tech Force.”] Those “private sector partners” include Amazon Web Services, Apple, Google Public Sector, Dell Technologies, Microsoft, Nvidia, OpenAI, Oracle, Palantir, Salesforce and numerous others [including AMD, IBM, Coinbase, Robinhood, Uber, xAI, and Zoom], the website says.

The Tech Force shows the Trump administration increasing its focus on developing America’s AI infrastructure as it competes with China for dominance in the rapidly growing industry… The engineering corps will be working on “high-impact technology initiatives including AI implementation, application development, data modernization, and digital service delivery across federal agencies,” the site says.

“Answer the call,” says the new web site at TechForce.gov.

“Upon completing the program, engineers can seek employment with the partnering private-sector companies for potential full-time roles — demonstrating the value of combining civil service with technical expertise.” [And those private sector companies can also nominate employees to participate.] “Annual salaries are expected to be in the approximate range of $150,000 to $200,000.”

Read more of this story at Slashdot.

Archive.org now has a page with “the raw analog waveform and the reconstructed digital tape image (analog.tap), read at the Computer History Museum’s Shustek Research Archives on 19 December 2025 by Al Kossow using a modified tape reader and analyzed with Len Shustek’s readtape tool.” A Berlin-based retrocomputing enthusiast has created a page with the contents of the tape ready for bootstrapping, “including a tar file of the filesystem,” and instructions on dumping an RK05 disk image from tape to disk (and what to do next).

Research professor Rob Ricci at the University of Utah’s school of computing posted pictures and video of the tape-reading process, along with several updates. (“So far some of our folks think they have found Hunt The Wumpus and the C code for a Snobol interpreter.”)
University researcher Mike Hibler noted the code predates the famous comment “You are not expected to understand this” — and found part of the C compiler with a copyright of 1972.

The version of Unix recovered seems to have some (but not all) of the commands that later appeared in Unix v5, according to discussion on social media. “UNIX wasn’t versioned as we know it today,” explains University of Utah PhD student Thalia Archibald, who researched early Unix history (including the tape) and also worked on its upload. “In the early days, when you wanted to cut a tape, you’d ask Ken if it was a good day — whether the system was relatively bug-free — and copy off the research machine… I’ve been saying It’s probably V5 minus a tiny bit, which turned out to be quite true.”

Read more of this story at Slashdot.

One developer tells MIT Technology Review that AI tools weaken the coding instincts he used to have. And beyond that, “It’s just not fun sitting there with my work being done for me.”

But is AI making coders faster? “After speaking to more than 30 developers, technology executives, analysts, and researchers, MIT Technology Review found that the picture is not as straightforward as it might seem…”

For some developers on the front lines, initial enthusiasm is waning as they bump up against the technology’s limitations. And as a growing body of research suggests that the claimed productivity gains may be illusory, some are questioning whether the emperor is wearing any clothes…. Data from the developer analytics firm GitClear shows that most engineers are producing roughly 10% more durable code — code that isn’t deleted or rewritten within weeks — since 2022, likely thanks to AI. But that gain has come with sharp declines in several measures of code quality. Stack Overflow’s survey also found trust and positive sentiment toward AI tools falling significantly for the first time. And most provocatively, a July study by the nonprofit research organization Model Evaluation & Threat Research (METR) showed that while experienced developers believed AI made them 20% faster, objective tests showed they were actually 19% slower…

Developers interviewed by MIT Technology Review generally agree on where AI tools excel: producing “boilerplate code” (reusable chunks of code repeated in multiple places with little modification), writing tests, fixing bugs, and explaining unfamiliar code to new developers. Several noted that AI helps overcome the “blank page problem” by offering an imperfect first stab to get a developer’s creative juices flowing. It can also let nontechnical colleagues quickly prototype software features, easing the load on already overworked engineers. These tasks can be tedious, and developers are typically glad to hand them off. But they represent only a small part of an experienced engineer’s workload. For the more complex problems where engineers really earn their bread, many developers told MIT Technology Review, the tools face significant hurdles…

The models also just get things wrong. Like all LLMs, coding models are prone to “hallucinating” — it’s an issue built into how they work. But because the code they output looks so polished, errors can be difficult to detect, says James Liu, director of software engineering at the advertising technology company Mediaocean. Put all these flaws together, and using these tools can feel a lot like pulling a lever on a one-armed bandit. “Some projects you get a 20x improvement in terms of speed or efficiency,” says Liu. “On other things, it just falls flat on its face, and you spend all this time trying to coax it into granting you the wish that you wanted and it’s just not going to…” There are also more specific security concerns, she says. Researchers have discovered a worrying class of hallucinations where models reference nonexistent software packages in their code. Attackers can exploit this by creating packages with those names that harbor vulnerabilities, which the model or developer may then unwittingly incorporate into software.

Other key points from the article:

LLMs can only hold limited amounts of information in context windows, so “they struggle to parse large code bases and are prone to forgetting what they’re doing on longer tasks.”

“While an LLM-generated response to a problem may work in isolation, software is made up of hundreds of interconnected modules. If these aren’t built with consideration for other parts of the software, it can quickly lead to a tangled, inconsistent code base that’s hard for humans to parse and, more important, to maintain.”

“Accumulating technical debt is inevitable in most projects, but AI tools make it much easier for time-pressured engineers to cut corners, says GitClear’s Harding. And GitClear’s data suggests this is happening at scale…”
“As models improve, the code they produce is becoming increasingly verbose and complex, says Tariq Shaukat, CEO of Sonar, which makes tools for checking code quality. This is driving down the number of obvious bugs and security vulnerabilities, he says, but at the cost of increasing the number of ‘code smells’ — harder-to-pinpoint flaws that lead to maintenance problems and technical debt.”

Yet the article cites a recent Stanford University study that found employment among software developers aged 22 to 25 dropped nearly 20% between 2022 and 2025, “coinciding with the rise of AI-powered coding tools.”

The story is part of MIT Technology Review’s new Hype Correction series of articles about AI.

Read more of this story at Slashdot.

New York governor Kathy Hochul signed legislation on Friday aimed at holding large AI developers accountable for the safety of their models. The RAISE Act establishes rules for greater transparency, requiring these companies to publish information about their safety protocols and report any incidents within 72 hours of their occurrence. It comes a few months after California adopted similar legislation. 

But, the penalties aren’t going to be nearly as steep as they were initially presented when the bill passed back in June. While that version included fines of up to $10 million dollars for a company’s first violation and up to $30 million for subsequent violations, according to Politico, Hochul’s version sets the fines at up to $1 million for the first violation, and $3 million for any violations after that. In addition to the new reporting rules, a new oversight office dedicated to AI safety and transparency is being born out of the RAISE Act. This office will be part of the Department of Financial Services, and issue annual reports on its assessment of large AI developers. 

Hochul signed two other pieces of AI legislation earlier in December that focused on the use of the technology in the entertainment industry. At the same time, President Trump has been pushing to curb states’ attempts at AI regulation, and signed an executive order this month calling for “a minimally burdensome national standard” instead.

This article originally appeared on Engadget at https://www.engadget.com/ai/governor-hochul-signs-new-yorks-ai-safety-act-220503930.html?src=rss

“Yet another distro is making the move to the KDE Plasma desktop,” writes Linux magazine.

“Parrot OS, a security-focused Linux distribution, is migrating from MATE to KDE Plasma, starting with version 7.0, now available in beta.”

Based on Debian 13, Parrot OS’s goal is a shift toward “modernization, focusing on clearing technical debt and future-proofing the system.” One big under-the-hood change is that the/tmpdirectory is now automatically mounted astmpfs(in RAM), as opposed to the physical drive. By making this change, Parrot OS enjoys improved performance and reduces wear on SSDs. This shift also means that all data in/tmpis lost during a reboot.

ParrotOS senior systems engineer Dario Camonita explains the change in a blog post, calling it “not only aesthetic, but also in terms of usability and greater consistency with our future goals…”

“While MATE will continue to be supported by us as long as upstream development continues, We have noticed and observed the continuous improvements made by the KDE team…”

And elsewhere Linux Magazine notes two other distros are embracing the desktop Enlightenment:

For years, Bodhi Linux was one of the very few distributions that used anything based on Enlightenment. That period of loneliness is officially over, withMX Mokshaand AV Linux 25. MX Moksha doesn’t replace the original MX Linux. Instead, it will serve as an “official spin” of the distribution…

The Enlightenment desktop (and subsequently Moksha) was developed with systemd in mind, so MX Moksha uses systemd. If you’re not a fan of systemd, MX Moksha is not for you. MX Moksha is lighter than MX Linux, so it will perform better on older machines. It also uses the Liquorix kernel for lower latency.

AV Linux has been released with the Xfce and LXDE desktops at different times and has only recently opted to make the switch to Enlightenment.

Read more of this story at Slashdot.

During a search for the Brown shoogin suspect, a law enforcement press conference included a request for “Ring camera footage from residents and businesses near Brown University,” according to local news reports.

But in the end it was Flock cameras according to an article in Gizmodo, after a Reddit poster described seeing “odd” behavior of someone who turned out to be the suspect:

The original Reddit poster, identified only as John in the affidavit, contacted police the next day and came in for an interview. He told them about his odd encounter with the suspect, noting that he was acting suspiciously by not having appropriate cold-weather clothes on when he saw him in a bathroom at Brown University. That was two hours before the shooting. After spotting him in the bathroom wearing a mask, John actually started following the suspect in what he called a “game of cat and mouse….” Police detectives showed John two images obtained through Flock, the company that’s built extensive surveillance infrastructure across the U.S. used by investigators, and he recognized the suspect’s vehicle, replying, “Holy shit. That might be it,” according to the affidavit. Police were able to track down the license plate of the rental car, which gave them a name, and within 24 hours, they had found Claudio Manuel Neves Valente dead in a storage facility in Salem, New Hampshire, where he reportedly rented a unit.
“We intend to continue using technology to make sure our law enforcement are empowered to do their jobs,” Flock’s safety CEO Garrett Langley wrote on X.com, pinning the post to the top of his feed.

Though ironically, hours before Providence Police Chief Oscar Perez credited Flock for helping to find the suspect, CNN was interviewing Flock’s safety CEO to discuss “his response to recent privacy concerns surrounding Flock’s technology.”

To Langley, the situation underscored the value and importance of Flock’s technology, despite mounting privacy concerns that have prompted some jurisdictions to cancel contracts with the company… Langley told me on Thursday that he was motivated to start Flock to keep Americans safer. His goal is to deter crime by convincing would-be criminals they’ll be caught… One of Flock’s cameras had recently spotted [the suspect’s] car, helping police pinpoint Valente’s location. Flock turned on additional AI capabilities that were not part of Providence Police’s contract with the company to assist in the hunt, a company spokesperson told CNN, including a feature that can identify the same vehicle based on its description even if its license plates have been changed.

The company has faced criticism from some privacy advocates and community groups who worry that its networks of cameras are collecting too much personal information from private citizens and could be misused. Both the Electronic Frontier Foundation and the American Civil Liberties Union have urged communities not to work with Flock.
“State legislatures and local governments around the nation need to enact strong, meaningful protections of our privacy and way of life against this kind of AI surveillance machinery,” ACLU Senior Policy Analyst Jay Stanley wrote in an August blog post. Flock also drew scrutiny in October when it announced a partnership with Amazon’s Ring doorbell camera system… [“Local officers using Flock Safety’s technology can now post a request directly in the Ring Neighbors app asking for help,” explains Flock’s blog post.]

Langley told me it was up to police to reassure communities that the cameras would be used responsibly… “If you don’t trust law enforcement to do their job, that’s actually what you’re concerned about, and I’m not going to help people get over that.” Langley added that Flock has built some guardrails into its technology, including audit trails that show when data was accessed. He pointed to a case in Georgia where that audit found a police chief using data from LPR cameras to stalk and harass people. The chief resigned and was arrested and charged in November…

More recently, the company rolled out a “drone as first responder” service — where law enforcement officers can dispatch a drone equipped with a camera, whose footage is similarly searchable via AI, to evaluate the scene of an emergency call before human officers arrive. Flock’s drone systems completed 10,000 flights in the third quarter of 2025 alone, according to the company… I asked what he’d tell communities already worried about surveillance from LPRs who might be wary of camera-equipped drones also flying overhead. He said cities can set their own limitations on drone usage, such as only using drones to respond to 911 calls or positioning the drones’ cameras on the horizon while flying until they reach the scene. He added that the drones fly at an elevation of 400 feet.

Read more of this story at Slashdot.

Faraway road trips just got a lot easier, at least for the passengers. Sony Honda Mobility, the joint venture between the two Japanese conglomerates created to produce electric vehicles, announced that its Afeela EV will come with PS Remote Play. While playing video games in a car may be a niche feature, it means drivers will have something to do when parked, and passengers can chip away at their favorite RPGs during long drives.

According to the announcement, the Afeela will be able to run your PS5 and PS4 consoles remotely through the infotainment system’s integrated display. You can even grab your DualSense controller from home and get right back into the game after jumping in your Afeela. Sony Honda Mobility said a 5Mbps broadband connection is required to play, and a 15Mbps rate will deliver a smoother experience.

It’s not the first time we’re hearing about PS Remote Play in an EV. The joint venture previously showed off the Afeela 1, which is set for its first deliveries in 2026, and its ability to remotely play PlayStation titles at CES 2024. As for gaming in EVs overall, Tesla famously offered Steam support for its Model S and X, but later removed this feature.

This article originally appeared on Engadget at https://www.engadget.com/transportation/evs/sonys-first-ev-with-honda-will-let-you-remotely-play-ps5-in-your-car-202359091.html?src=rss

An anonymous reader shared this report from the Washington Post. (Alternate URL here):

The American patrol satellite had the targets in its sights: two recently launched Chinese spacecraft flying through one of the most sensitive neighborhoods in space. Like any good tactical fighter, the American spacecraft, known as USA 270, approached from behind, so that the sun would be at its back, illuminating the quarry.
But then one of the Chinese satellites countered by slowing down. As USA 270 zipped by, the Chinese satellite dropped in behind its American pursuer, like Maverick’s signature “hit-the-brakes” move in the movie “Top Gun.” The positions reversed, U.S. officials controlling their spacecraft from Earth were forced to plot their next move. The encounter some 22,000 miles above Earth in 2022 was never acknowledged publicly by the Pentagon or Beijing. Happening out of sight and little noticed except by space and defense specialists, this kind of orbital skirmishing has become so common that defense officials now refer to it as “dogfighting…”

Much of the “dogfighting” activity in space is simply for spying, defense analysts say, with specifics largely classified — snapping photos of each other’s satellites to learn what kind of systems are on board and their capabilities. They monitor the signals and data emitted by satellites, listening to communications between space and the ground. Many can even jam those signals or interfere with orbiting craft that provide missile warnings, spy or relay critical information to troops… Traditionally, once a satellite was in orbit, it largely stayed on a fixed path, its operators reluctant to burn precious fuel. But now, the Pentagon and its adversaries, notably China and Russia, are launching satellites designed to fly in more dynamic ways that resemble aircraft — banking hard, slowing down, speeding up, even flying in tandem.

“Traditionally satellites weren’t designed to fight, and they weren’t designed to protect themselves in a fight,” said Clinton Clark, the chief growth officer of ExoAnalytic Solutions, a company that monitors activity in space. “That is all changing now.”

“Unlike dogfights between fighter jets, the jockeying-for-position encounters in orbit take place over several hours, even days,” the article points out.

But it also notes that recently Germany’s defense minister “complained about a Russian satellite that had been flying close to a commercial communications satellite used by the German military. ‘They can jam, blind, manipulate or kinetically disrupt satellites,’ he said.”

Read more of this story at Slashdot.

Gamers who prefer physical copies of their favorite titles may be getting a major win with the Switch 2. In an unexpected announcement from retro video game publisher ININ Games, Nintendo reportedly has “two new smaller cartridge sizes” for its Switch 2 console. For ININ Games, these rumored game cartridges with smaller storage capacity allow the publisher to recalculate production costs and pursue a physical Switch 2 release of its upcoming R-Type Dimensions III.

ININ Games later deleted its posts mentioning these smaller Switch 2 cartridges and issued a correction on its website and social media pages. However, the publisher reiterated that R-Type Dimensions III will be released on a physical cartridge, but that “no further technical details regarding cartridge specifications have been officially confirmed.”

“There has been no official announcement or confirmation from Nintendo concerning cartridge storage capacities,” ININ Games said in a statement. “Any references to specific storage sizes should not be interpreted as official information from Nintendo.”

If we’re reading between the lines, ININ Games may have been early to tease a crucial detail about Switch 2 cartridges that Nintendo wasn’t officially ready to reveal yet. For more context, Nintendo reportedly only offers physical game cartridges for Switch 2 with a 64GB capacity. With less demanding games like R-Type Dimensions III, that much storage capacity could be unnecessary and raise production costs. Nintendo still hasn’t made an announcement about these potential smaller cartridges, but we could see a lot more game publishers opting for physical copies of their upcoming games if they are indeed an option.

This article originally appeared on Engadget at https://www.engadget.com/gaming/nintendo/game-publisher-says-cheaper-switch-2-cartridges-are-coming-in-since-deleted-post-191145230.html?src=rss

A reporter at Mother Jones writes about a $169 alarm clock with special lighting and audio effects. But to use the features, “you need to pay an additional $4.99 per month, in perpetuity.”

“Welcome to the age of subscription captivity, where an increasing share of the things you pay for actually own you.”

What vexes me are the companies that sell physical products for a hefty, upfront fee and subsequently demand more money to keep using items already in your possession. This encompasses those glorified alarm clocks, but also: computer printers, wearable wellness devices, and some features on pricey new cars.

Subscription-based business models are great for businesses because they amount to consistent revenue streams. They’re often bad for consumers for the same reason: You have to pay companies, consistently. We’re effectively being $5 per month-ed (or more) to death, and it’s only going to get worse. Industry research suggests the average customer spent $219 per month on subscriptions in 2023. In 2024, the global subscription market was an estimated $492 billion. By 2033, that figure is expected to triple.

Companies would argue these models benefit consumers, not just their bottom lines. For example, HP’s Instant Ink program suggests you will never again find your device out of ink when you need it most. The printer apparently knows when it’s running low, spurring automatic deliveries of ink to your home for $7.99 per month if you select the company-recommended plan. But if you cancel the subscription, the printer will literally hold hostage the half-full cartridges already sitting in your printer. The ransom to use it? Re-enroll… The company has added firmware to its technology that deliberately blocks cheaper, off-brand cartridges from working at all…

“There’s even a subscription service that enables you to track and cancel your piling subscriptions — for just $6 to $12 per month.”

Read more of this story at Slashdot.

In 2023 Slashdot covered a battery-swapping startup that promised to give EVs a full charge in about the same time it takes to fill a tank of gas.

They just filed for bankruptcy, reports Inc:

Ample was founded in 2014 with a goal of “solving slow charging times and infrastructure incompatibility” for commercial EV fleets such as those in logistics, ride-hailing, and delivery, the filing states. To-date, Ample has raised more than $330 million across five rounds of funding to finance research and development and deployment. Rather than tackling fast charging, its strategy involved developing “fully autonomous modular battery swapping,” capable of delivering a fully charged battery in just five minutes. The technology requires purpose-built “Ample stations” that look a little like carwashes. A car is guided into the bay and elevated on a platform. A robot then identifies the location of a car’s battery module, removes it, and replaces it with a charged module, Canary Media reported.

The company also boasts partnerships with Uber, Mitsubishi, and Stellantis, and notes it has deployed its technology — or is pursuing deployment — in San Francisco, Madrid and Tokyo. Even so, it ran up against funding issues. In its filing, Ample attributed its bankruptcy to macroeconomic and industry headwinds, such as “severe supply chain disruptions,” “contraction in both public and private investment in renewable energy” and the “reduction, delay, or redirection of government incentives intended to accelerate EV adoption.” The filing notes that regulatory and permitting delays slowed its launch in international markets, after which access to capital foiled its scaling efforts. The company eliminated all but two full-time, non-executive employees after formerly employing about 200…

Electrek noted that Ample is the second battery swapping startup to go bankrupt after California-based Better Place in collapsed in 2013 amid financial issues related to how capital intensive it was to build infrastructure, Reuters reported. And Tesla briefly pursued the concept, building a station in California, before ditching the idea altogether.

Ample “claimed to have designed autonomous battery swapping stations that would be rapidly deployable, cheap to build, and could adapt to any EV design with a modular battery which would be easy for manufacturers to use,” notes Electrek’s article:

Where this bankruptcy leaves Ample’s technology is unclear. Another company could snap it up and try to do something with it, if they find that the technology is real and useful. Ample had gotten investments and partnerships with Shell, Mitsubishi and Stellantis, for example, so the company wasn’t alone in touting its tech. Or, it could just disappear, as other EV battery swapping plans have before…

That’s not to say that nobody has been successful at at implementing battery swap, though. NIO seems to be successful with its battery swapping tech in China, though the company did miss its 2025 scaling goals by a longshot. But as of yet, this is the only notable example of a successful battery swap initiative, and it was done by an automaker itself, rather than a startup claiming to work for every automaker.

Electrek’s writer is “just not bullish on battery swapping as a solution in general. Currently, the fastest-charging vehicles can charge from 10-80% in about 18 minutes. While that’s longer than 5 minutes, it’s not really a terrible amount of time to spend during most stops.”

Plus, if cars come and go in 5 minutes instead of 18 minutes, “then you’re going to have more than triple the throughput at peak utilization.” And Ample’s prices would be about the same as normal EV quick-charging prices…

Read more of this story at Slashdot.