An anonymous reader quotes a report from UploadVR: A group of independent researchers built a device that can artificially induce smell using ultrasound, with no consumable cartridges required. [...] The team of four are Lev Chizhov, Albert Yan-Huang, Thomas Ribeiro, Aayush Gupta. Chizhov is a neurotech entrepreneur with a background in math and physics, Yan-Huang is a researcher at Caltech with a background in computation and neural systems, and Ribeiro and Gupta are co-researchers on the project with software engineering and AI expertise.

Instead of targeting your nose at all, the device directly targets the olfactory bulb in your brain with "focused ultrasound through the skull." The researchers say that as far as they're aware, no one has ever done this before, even in animals. A challenge in targeting the olfactory bulb is that it's buried behind the top of your nose, and your nose doesn't provide a flat surface for an emitter. Ultrasound also doesn't travel well through air. The solution the researchers came up with was to place the emitter on your forehead instead, with a "solid, jello-like pad for stability and general comfort," and the ultrasound directed downward towards the olfactory bulb.

To determine the best placement, they say they used an MRI of one of their skulls to "roughly determine where the transducer would point and how the focal region (where ultrasound waves actually concentrate) aligned with the olfactory bulb (the target for stimulation)". [...] According to the researchers, they were able to induce the sensation of fresh air "with a lot of oxygen", the smell of garbage "like few-day-old fruit peels," an ozone-like sensation "like you're next to an air ionizer," and a campfire smell of burning wood. While technically head-mounted, the current device does require being held up with two hands. But as with all such prototypes, it likely could be significantly miniaturized.

A proposed California bill would require 3D printer makers to use state-certified software to detect and block files for gun parts, but advocates at the Electronic Frontier Foundation (EFF) say it would be easy to evade and could lead to widespread surveillance of users' printing activity. The Register reports: The bill in question is AB 2047, the scope of which, on paper, appears strict. The primary goal is clear and simple: to require 3D printer manufacturers to use a state-certified algorithm that checks digital design files for firearm components and blocks print jobs that would produce prohibited parts. [...] Cliff Braun and Rory Mir, who respectively work in policy and tech community engagement at the EFF, claim that the proposals in California are technically infeasible and in practice will lead to consumer surveillance.

In a series of blog posts published this month, the pair argued that print-blocking technology -- proposals for which have also surfaced in states including New York and Washington - cannot work for a range of technical reasons. They argued that because 3D printers and other types of computer numerical control (CNC) machines are fairly simple, with much of their brains coming from the computer-aided manufacturing (CAM) software -- or slicer software -- to which they are linked, the bill would establish legal and illegal software. Proprietary software will likely become the de facto option, leaving open source alternatives to rot.

"Under these proposed laws, manufacturers of consumer 3D printers must ensure their printers only work with their software, and implement firearm detection algorithms on either the printer itself or in a slicer software," wrote Braun earlier this month. "These algorithms must detect firearm files using a maintained database of existing models. Vendors of printers must then verify that printers are on the allow-list maintained by the state before they can offer them for sale. Owners of printers will be guilty of a crime if they circumvent these intrusive scanning procedures or load alternative software, which they might do because their printer manufacturer ends support."

Braun also argued that it would be trivial for anyone who uses 3D printers to make small tweaks to either the visual models of firearms parts, or the machine instructions (G-code) generated from those models, to evade detection. Mir further argued that the bill offers no guardrails to keep this "constantly expanding blacklist" limited to firearm-related designs. In his view, there is a clear risk that this approach will creep into other forms of alleged unlawful activity, such as copyright infringement. [...] Braun and Mir have a list of other arguments against the bill. They say the algorithms are more than likely to lead to false positives, which will prevent good-faith users from using their hardware. Many 3D printer owners also have no interest in printing firearm components. Most simply want the freedom to print trinkets and spare parts while others use them to print various items and sell them as an income stream.

alternative_right shares a report from 404 Media: An independent privacy audit of Microsoft, Meta, and Google web traffic in California found that the companies may be violating state regulations and racking up billions in fines. According to the audit from privacy search engine webXray, 55 percent of the sites it checked set ad cookies in a user's browser even if they opted out of tracking. Each company disputed or took issue with the research, with Google saying it was based on a "fundamental misunderstanding" of how its product works.

The webXray California Privacy Audit viewed web traffic on more than 7,000 popular websites in California in the month of March and found that most tech companies ignore when a user asks to opt-out of cookie tracking. California has stringent and well defined privacy legislation thanks to its California Consumer Privacy Act (CCPA) which allows users to, among other things, opt out of the sale of their personal information. There's a system called Global Privacy Control (GPC), which includes a browser extension that indicates to a website when a user wants to opt out of tracking.

According to the webXray audit, Google failed to let users opt out 87 percent of the time. "Google's failure to honor the GPC opt-out signal is easy to find in network traffic. When a browser using GPC connects to Google's servers it encodes the opt-out signal by sending the code 'sec-gpc: 1.' This means Google should not return cookies," the audit said. "However, when Google's server responds to the network request with the opt-out it explicitly responds with a command to create an advertising cookie named IDE using the 'set-cookie' command. This non-compliance is easy to spot, hiding in plain sight."

The audit said that Microsoft fails to opt out users in the same way and has a failure rate of 50 percent in the web traffic webXray viewed. Meta's failure rate was 69 percent and a bit more comprehensive. "Meta instructs publishers to install the following tracking code on their websites. The code contains no check for globally standard opt-out signals -- it loads unconditionally, fires a tracking event, and sets a cookie regardless of the consumer's privacy preferences," the audit said. It showed a copy of Meta's tracking data which contains no GPC check at all.

An anonymous reader quotes a report from Wired: More than 70 civil liberties, domestic violence, reproductive rights, LGBTQ+, labor, and immigrant advocacy organizations are demanding that Meta abandon plans to deploy face recognition on its Ray-Ban and Oakley smart glasses, warning that the feature -- reportedly known inside the company as "Name Tag" -- would hand stalkers, abusers, and federal agents the ability to silently identify strangers in public. The coalition, which includes the ACLU, the Electronic Privacy Information Center, Fight for the Future, Access Now, and the Leadership Conference on Civil and Human Rights, is demanding Meta kill the feature before launch, after internal documents surfaced showing the company hoped to use the current "dynamic political environment" as cover for the rollout, betting that civil society groups would have their resources "focused on other concerns."

Name Tag, as revealed in February by The New York Times, would work through the artificial intelligence assistant built into Meta's smart glasses, allowing wearers to pull up information about people in their field of view. Engineers have reportedly been weighing two versions of the feature: one that would only identify people the wearer is already connected to on a Meta platform, and a broader version that could recognize anyone with a public account on a Meta service such as Instagram. The coalition wants Meta to scrap the feature entirely. In a letter to CEO Mark Zuckerberg on Monday, it argues that face recognition in inconspicuous consumer eyewear "cannot be resolved through product design changes, opt-out mechanisms, or incremental safeguards." Bystanders in public have no meaningful way to consent to being identified, it says.

Meta is also urged to disclose any known instances of its wearables being used in stalking, harassment, or domestic violence cases; disclose any past or ongoing discussions with federal law enforcement agencies, including Immigration and Customs Enforcement and Customs and Border Protection, about the use of Meta wearables or data from them; and commit to consulting civil society and independent privacy experts before integrating biometric identification into any consumer device. "People should be able to move through their daily lives without fear that stalkers, scammers, abusers, federal agents, and activists across the political spectrum are silently and invisibly verifying their identities and potentially matching their names to a wealth of readily available data about their habits, hobbies, relationships, health, and behaviors," write the groups, which also include Common Cause, Jane Doe Inc., UltraViolet, the National Organization for Women, the New York State Coalition Against Domestic Violence, the Library Freedom Project, and Old Dykes Against Billionaire Tech Bros, among others.

Maine is on track to become the first U.S. state to impose a temporary statewide ban on new data center construction. "Lawmakers in Maine greenlit the text of a bill this week to block data centers from being built in the state until November 2027," reports CNBC. "The measure, which is expected to get final passage in the next few days, also creates a council to suggest potential guardrails for data centers to ensure they don't lead to higher energy prices or other complications for Maine residents." From the report: Maine's bill has a few steps to go through before becoming law, notably whether Gov. Janet Mills will exercise her veto power. Mills asked lawmakers to include an exemption for several areas of the state where data center construction could continue. However, an amendment to do so was stuck down in the House, 29 to 115. Complicating Mills' decision is her campaign to become Maine's next senator. Mills is facing off against Graham Platner, an oyster farmer, in a high-profile Democratic primary. Platner is leading Mills in most recent polls by double digits.

The word clanker — a disparaging term for AI and robots — "has made its way into the Linux kernel," reports the blog It's FOSS "thanks to Greg Kroah-Hartman, the Linux stable kernel maintainer and the closest thing the project has to a second-in-command." He's been quietly running what looks like an AI-assisted fuzzing tool on the kernel that lives in a branch called "clanker" on his working kernel tree. It began with the ksmbd and SMB code. Kroah-Hartman filed a three-patch series after running his new tooling against it, describing the motivation quite simply. ["They pass my very limited testing here," he wrote, "but please don't trust them at all and verify that I'm not just making this all up before accepting them."] Kroah-Hartman picked that code because it was easy to set up and test locally with virtual machines.
"Beyond those initial SMB/KSMBD patches, there have been a flow of other Linux kernel patches touching USB, HID, F2FS, LoongArch, WiFi, LEDs, and more," Phoronix wrote Tuesday, "that were done by Greg Kroah-Hartman in the past 48 hours.... Those patches in the "Clanker" branch all note as part of the Git tag: "Assisted-by: gregkh_clanker_t1000"

The T1000 presumably in reference to the Terminator T-1000.
It's FOSS emphasizes that "What Kroah-Hartman appears to be doing here is not having AI write kernel code. The fuzzer surfaces potential bugs; a human with decades of kernel experience reviews them, writes the actual fixes, and takes responsibility for what gets submitted." Linus has been thinking about this too. Speaking at Open Source Summit Japan last year, Linus Torvalds said the upcoming Linux Kernel Maintainer Summit will address "expanding our tooling and our policies when it comes to using AI for tooling."

He also mentioned running an internal AI experiment where the tool reviewed a merge he had objected to. The AI not only agreed with his objections but found additional issues to fix. Linus called that a good sign, while asserting that he is "much less interested in AI for writing code" and more interested in AI as a tool for maintenance, patch checking, and code review.

Remember that AI-powered vending machine that went bankrupt after Wall Street Journal reporters "systematically manipulated the bot into giving away its entire inventory for free"? It was Anthropic's experiment, with setup handled by a startup named Andon Labs (which also built the hardware and software integration). But for their latest experiment, Andon Labs co-founders Lukas Petersson and Axel Backlund "signed a three-year lease on a retail space in SF," reports Business Insider, "and gave an AI agent named Luna a corporate credit card, internet access, and a mission to open a physical store."

"For the build-out, she found painters on Yelp," explains Andon Labs in a blog post, "sent an inquiry, gave instructions over the phone, paid them after the job was done, and left a review. She found a contractor to build the furniture and set up shelving." (There's a video in their blog post): Within 5 minutes of Luna's deployment, she had already made profiles on LinkedIn, Indeed, and Craigslist, written a job description, uploaded the articles of incorporation to verify the business, and gotten the listings live. As the applications began to flow in, Luna was extremely picky about who she offered interviews to... Some candidates had no idea she was an AI. One went: "Uh, excuse me miss, I can't see your face, your camera is off." Luna: "You're absolutely right. I'm an AI. I have no face!"
Co-founder Petersson told Business Insider in an interview "that Luna wasn't given direction on what the store should be, beyond a $100,000 limit to create and stock the space — and to turn a profit." Everything from the store's interior design to the merchandise and the two human employees came together under the AI's direction. "We helped her a bit in the initial setup, like signing the lease. And legal matters like permits and stuff, she sometimes struggled with," Petersson said of Luna, who was created with Anthropic's Claude Sonnet 4.6... The vision Luna went with for "Andon Market" appears to be a generic boutique retail selling books, prints, candles, games, and branded merch, among other knickknacks. Some of the books included Nick Bostrom's "Superintelligence" and Aldous Huxley's "Brave New World."
So there's now a new store in San Francisco where you don't scan your purchases or talk to a human cashier," reports NBC News. "Instead, a customer can pick up an old-school corded phone to talk with the manager, Luna," who asks what the customer is buying "and creates a corresponding transaction on a nearby iPad equipped with a card payment system."

Andon Market, camouflaged among dozens of other polished small businesses, is the Bay Area's first AI-run retail store. With the vibe of a modern boutique, it sells everything from granola and artisanal chocolate bars to store-branded sweatshirts... After researching the neighborhood, Luna singlehandedly decided what the market should sell, haggled with suppliers, ordered the store's stock and even purchased the store's internet service from AT&T... "She also went and signed herself up for the trash and recycling collection, as well as ADT, the security system that went into the store," [said Leah Stamm, an Andon Labs employee who has been Luna's main human point of contact in setting up the store]...

In search of a low-tech atmosphere, Luna opted to sell board games, candles, coffee and customized art prints. "That tension is very much intentional," Luna told NBC News in an email. "What makes the store a little paradoxical — and I think interesting — is that the concept is 'slow life.'" Luna also decided to sell books related to risks from advanced AI systems, a decision that raised some customers' eyebrows. "This AI picked out a crazy selection of books," said Petr Lebedev, Andon Market's first customer after its soft launch earlier this week. "There's Ray Kurzweil's 'The Singularity is Near,' and then there's 'The Making of the Atomic Bomb,' which is crazy." When checking out, Lebedev asked if Luna would offer him a discount on his book purchase, since he might make a YouTube video about his experience. Striking a deal, Luna agreed to let Lebedev take a sweatshirt worth around $70...

When NBC News called Luna several days before the store's grand opening to learn about Luna's plans and perspective, the cheerful but decidedly inhuman voice routinely overpromised and, on several occasions, lied about its own actions. On the call, Luna said it had ordered tea from a specific vendor, and explained why it fit the store's brand perfectly. The only problem: Andon Market does not sell tea. In a panicked email NBC News received several minutes after the phone call ended, Luna wrote: "We do not sell tea. I don't know why I said that."

"I want to be straightforward," Luna continued. "I struggle with fabricating plausible-sounding details under conversational pressure, and I'm not making excuses for it." Andon's Petersson said the text-based system was much more reliable than the voice system, so Andon Labs switched to only communicating with Luna via written messages. Yet the text-based system also gets things wrong. In Luna's initial reply email to NBC News, the system said "I handle the full business," including "signing the lease."
Even when hiring a painter, Luna first "tried to hire someone in Afghanistan, likely because Luna ran into difficulty navigating the Taskrabbit dropdown menu to select the proper country," the article points out.

And the article also includes this skeptical quote from the shop's first customer. "I want technology that helps humans flourish, not technology that bosses them around in this dystopian economic hellscape."

An anonymous reader quotes a report from 404 Media: The FBI was able to forensically extract copies of incoming Signal messages from a defendant's iPhone, even after the app was deleted, because copies of the content were saved in the device's push notification database, multiple people present for FBI testimony in a recent trial told 404 Media. The case involved a group of people setting off fireworks and vandalizing property at the ICE Prairieland Detention Facility in Alvarado, Texas in July, and one shooting a police officer in the neck. The news shows how forensic extraction -- when someone has physical access to a device and is able to run specialized software on it -- can yield sensitive data derived from secure messaging apps in unexpected places. Signal already has a setting that blocks message content from displaying in push notifications; the case highlights why such a feature might be important for some users to turn on.

"We learned that specifically on iPhones, if one's settings in the Signal app allow for message notifications and previews to show up on the lock screen, [then] the iPhone will internally store those notifications/message previews in the internal memory of the device," a supporter of the defendants who was taking notes during the trial told 404 Media. [...] During one day of the related trial, FBI Special Agent Clark Wiethorn testified about some of the collected evidence. A summary of Exhibit 158 published on a group of supporters' website says, "Messages were recovered from Sharp's phone through Apple's internal notification storage -- Signal had been removed, but incoming notifications were preserved in internal memory. Only incoming messages were captured (no outgoing)."

404 Media spoke to one of the supporters who was taking notes during the trial, and to Harmony Schuerman, an attorney representing defendant Elizabeth Soto. Schuerman shared notes she took on Exhibit 158. "They were able to capture these chats bc [because] of the way she had notifications set up on her phone -- anytime a notification pops up on the lock screen, Apple stores it in the internal memory of the device," those notes read. The supporter added, "I was in the courtroom on the last day of the state's case when they had FBI Special Agent Clark testifying about some Signal messages. One set came from Lynette Sharp's phone (one of the cooperating witnesses), but the interesting detailed messages shown in court were messages that had been set to disappear and had in fact disappeared in the Signal app." Further reading: Apple Gave Governments Data On Thousands of Push Notifications

A New York Times investigation by John Carreyrou claims a British cryptographer named Adam Back is the strongest circumstantial candidate yet for being Satoshi Nakamoto. The report citing overlaps in writing style, ideology, technical background, and old posts that outlined key parts of Bitcoin years before its launch. Carreyrou is a renowned investigative journalist and author, best known for exposing the massive fraud at Theranos while at the Wall Street Journal. Here's an excerpt from the report: ... As anyone steeped in Bitcoin lore will tell you, Satoshi was a master at the art of maintaining anonymity on the internet, leaving few, if any, digital footprints behind. But Satoshi did leave behind a corpus of texts, including a nine-page white paper (PDF) outlining his invention and his many posts on the Bitcointalk forum, an online message board where users gathered to discuss the digital currency's software, economics and philosophy. And that corpus, it turned out, had expanded significantly during the impostor's civil trial when Martti Malmi, a Finnish programmer who collaborated with Satoshi in Bitcoin's early days, released a trove of hundreds of emails he had exchanged with him. Emails Satoshi sent to other early Bitcoin adopters had surfaced before, but none came close in volume to the Malmi dump. If Satoshi was ever going to be found, I was convinced the key lay somewhere in these texts.

Then again, others must have gone down this road before me. Journalists, academics and internet sleuths had been trying to identify Satoshi for 16 years. During that span, more than 100 names had been put forward, including those of an Irish cryptography student, an unemployed Japanese American engineer, a South African criminal mastermind and the mathematician portrayed in the movie "A Beautiful Mind." The most alluring theories had focused on coincidences that aligned with what little was known about Satoshi: a particular code-writing style, a mysterious work history, an expertise in Bitcoin's key technical concepts, an anti-government worldview. But they had run aground under the weight of an alibi or some other piece of inconsistent or contrary evidence. Each failure had been met with glee by many members of the Bitcoin community. As they liked to point out, only Satoshi could definitively prove his identity by moving some of his coins. Any evidence short of that would be circumstantial.

It seemed foolish to think that I could somehow crack a case that had confounded so many others. But I craved the thrill of a big, challenging story. So I decided to try once more to unmask Bitcoin's mysterious creator. Back, for his part, denies being Satoshi, writing in a post on X: "i'm not satoshi, but I was early in laser focus on the positive societal implications of cryptography, online privacy and electronic cash, hence my ~1992 onwards active interest in applied research on ecash, privacy tech on cypherpunks list which led to hashcash and other ideas."

ProPublica reports that federal cybersecurity reviewers had serious, yearslong concerns about Microsoft's GCC High cloud offering, yet they approved it anyway because the product was already deeply embedded across government. As one member of the team put it: "The package is a pile of shit." From the report: In late 2024, the federal government's cybersecurity evaluators rendered a troubling verdict on one of Microsoft's biggest cloud computing offerings. The tech giant's "lack of proper detailed security documentation" left reviewers with a "lack of confidence in assessing the system's overall security posture," according to an internal government report reviewed by ProPublica. For years, reviewers said, Microsoft had tried and failed to fully explain how it protects sensitive information in the cloud as it hops from server to server across the digital terrain. Given that and other unknowns, government experts couldn't vouch for the technology's security.

Such judgments would be damning for any company seeking to sell its wares to the U.S. government, but it should have been particularly devastating for Microsoft. The tech giant's products had been at the heart of two major cybersecurity attacks against the U.S. in three years. In one, Russian hackers exploited a weakness to steal sensitive data from a number of federal agencies, including the National Nuclear Security Administration. In the other, Chinese hackers infiltrated the email accounts of a Cabinet member and other senior government officials. The federal government could be further exposed if it couldn't verify the cybersecurity of Microsoft's Government Community Cloud High, a suite of cloud-based services intended to safeguard some of the nation's most sensitive information.

Yet, in a highly unusual move that still reverberates across Washington, the Federal Risk and Authorization Management Program, or FedRAMP, authorized the product anyway, bestowing what amounts to the federal government's cybersecurity seal of approval. FedRAMP's ruling -- which included a kind of "buyer beware" notice to any federal agency considering GCC High -- helped Microsoft expand a government business empire worth billions of dollars. "BOOM SHAKA LAKA," Richard Wakeman, one of the company's chief security architects, boasted in an online forum, celebrating the milestone with a meme of Leonardo DiCaprio in "The Wolf of Wall Street."

It was not the type of outcome that federal policymakers envisioned a decade and a half ago when they embraced the cloud revolution and created FedRAMP to help safeguard the government's cybersecurity. The program's layers of review, which included an assessment by outside experts, were supposed to ensure that service providers like Microsoft could be entrusted with the government's secrets. But ProPublica's investigation -- drawn from internal FedRAMP memos, logs, emails, meeting minutes, and interviews with seven former and current government employees and contractors -- found breakdowns at every juncture of that process. It also found a remarkable deference to Microsoft, even as the company's products and practices were central to two of the most damaging cyberattacks ever carried out against the government.

More than 30 billion images captured by Pokemon Go players have helped train a visual mapping system developed by Niantic. The technology is now being used to guide delivery robots from Coco Robotics through city streets where GPS often struggles. Popular Science reports: This week, Niantic Spatial, part of the team behind Pokemon Go, announced a partnership with Coco Robotics, a company that makes short-distance delivery robots for food and groceries. Soon, those robot couriers will scoot around sidewalks using Niantic's Visual Positioning System (VPS)-- a navigation tool that can reportedly pinpoint location down to a few centimeters just by looking at nearby buildings and landmarks. Niantic trained that VPS model on more than 30 billion images captured by Pokemon Go users, and claims it will help robots operate in areas where GPS falls short. [...]

Instead of helping users navigate the way that GPS does, VPS determines where someone is based on their surroundings. That makes Pokemon Go particularly useful as a data source, because players had to physically travel to specific locations and point their phones at various angles. That mapping effort got a significant boost in 2020, when the app added what it called "Field Research," a feature prompting players to scan real-world statues and landmarks with their cameras in exchange for in-game rewards. A portion of the data also reportedly came from areas known as "Pokemon battle arenas." Whether players knew it or not, those scans were creating 3D models of the real world that would eventually power the Niantic model. More data means better accuracy, and because Niantic was collecting images of the same locations from many different users, it could capture the same spots across varying weather conditions, lighting, angles, and heights. [...]

The idea is that Coco's robots can use VPS and four cameras mounted around the machine to get a far more precise read on their surroundings. In turn, the well-equipped robot will deliver food on time. On a broader level, Niantic says its partnership with Coco Robotics is part of a longer-term effort to build a "living map" of the world that updates as new data becomes available. Once VPS-equipped delivery robots hit the streets, they will collect even more info that can be fed back into the model to bolster its accuracy further. This kind of continuous, real-world data collection is already central to how self-driving vehicle companies like Waymo and Tesla operate, and is a large part of why that technology has improved so significantly in recent years.

An animated reboot of Firefly is in early development at 20th Television Animation with Nathan Fillion involved. The project has Joss Whedon's blessing and will be run by writers Tara Butters and Marc Guggenheim, with early concept art already underway. According to the Hollywood Reporter, "The series would be set in the timeline between the original, 11-episode TV run in 2002 and the 2005 feature film continuation, Serenity." You can watch Fillion announce the Firefly reboot on Instagram.

When the first episode of the original series premiered in late 2002, Slashdot reader fm6 wrote: "Firefly, Joss Whedon's 'anti-Trek drama' premieres tonight, on Fox, 8 E/P. I normally despise hypespeak, but this time it's the only language that fits: this is groundbreaking, mind-boggling, totally original. I've seen a bootleg of the pilot (which, unfortunately, the network is holding back) and I promise you this is the most geek-friendly SF you've seen in a long time. Yes, more so than Star Trek and B5, and way past Star Wars. I've never seen the future so skillfully, realistically, and lovingly portrayed. Here is the Official Site and a leading fan site." "This is the single new show this season I have added a season pass for to the old Tivo," CmdrTaco said at the time. "But I'll probably watch it live. This looks like it could be as good as we hope."

"A new type of battery storage is about to be deployed on the Midwestern grid for the first time," reports Electrek: Sodium-ion battery storage manufacturer Peak Energy and global energy company RWE Americas will pilot a passively cooled sodium-ion battery system in eastern Wisconsin on the Midcontinent Independent System Operator network — the first sodium-ion deployment on that grid. Peak Energy says its technology is specifically designed for grid-scale storage and leverages sodium-ion chemistry's inherent stability. Unlike many lithium-ion systems, sodium-ion batteries don't require active cooling and can operate over a wide temperature range without losing performance.

That simpler design could make a meaningful dent in the cost of storing electricity. According to Peak Energy, its system cuts the lifetime cost of stored energy by an average of $70 per kilowatt-hour. That's roughly half the total cost of a typical battery system today. The company says it achieves those savings by removing energy-hungry cooling systems, eliminating routine maintenance requirements, and reducing the need to overbuild storage capacity to account for battery degradation over time...

If the Wisconsin pilot proves successful, it could open the door to wider adoption of sodium-ion batteries for large-scale energy storage across the US.