An anonymous reader quotes a report from 404 Media: After a group of attorneys were caught using AI to cite cases that didn't actually exist in court documents last month, another lawyer was told to pay $15,000 for his own AI hallucinations that showed up in several briefs. Attorney Rafael Ramirez, who represented a company called HoosierVac in an ongoing case where the Mid Central Operating Engineers Health and Welfare Fund claims the company is failing to allow the union a full audit of its books and records, filed a brief in October 2024 that cited a case the judge wasn't able to locate. Ramirez "acknowledge[d] that the referenced citation was in error," withdrew the citation, and "apologized to the court and opposing counsel for the confusion," according to Judge Mark Dinsmore, U.S. Magistrate Judge for the Southern District of Indiana. But that wasn't the end of it. An "exhaustive review" of Ramirez's other filings in the case showed that he'd included made-up cases in two other briefs, too. [...]

In January, as part of a separate case against a hoverboard manufacturer and Walmart seeking damages for an allegedly faulty lithium battery, attorneys filed court documents that cited a series of cases that don't exist. In February, U.S. District Judge Kelly demanded they explain why they shouldn't be sanctioned for referencing eight non-existent cases. The attorneys contritely admitted to using AI to generate the cases without catching the errors, and called it a "cautionary tale" for the rest of the legal world. Last week, Judge Rankin issued sanctions on those attorneys, according to new records, including revoking one of the attorneys' pro hac vice admission (a legal term meaning a lawyer can temporarily practice in a jurisdiction where they're not licensed) and removed him from the case, and the three other attorneys on the case were fined between $1,000 and $3,000 each. The judge in the Ramirez case said that he "does not aim to suggest that AI is inherently bad or that its use by lawyers should be forbidden." In fact, he noted that he's a vocal advocate for the use of technology in the legal profession.

"Nevertheless, much like a chain saw or other useful [but] potentially dangerous tools, one must understand the tools they are using and use those tools with caution," he wrote. "It should go without saying that any use of artificial intelligence must be consistent with counsel's ethical and professional obligations. In other words, the use of artificial intelligence must be accompanied by the application of actual intelligence in its execution."

Apple is stepping up its fight with the British government over a demand to create a "back door" in its most secure cloud storage systems, by filing a legal complaint that it hopes will overturn the order. Financial Times: The iPhone maker has made its appeal to the Investigatory Powers Tribunal, an independent judicial body that examines complaints against the UK security services, according to people familiar with the matter. The Silicon Valley company's legal challenge is believed to be the first time that provisions in the 2016 Investigatory Powers Act allowing UK authorities to break encryption have been tested before the court.

The Investigatory Powers Tribunal will consider whether the UK's notice to Apple was lawful and, if not, could order it to be quashed. The case could be heard as soon as this month, although it is unclear whether there will be any public disclosure of the hearing. The government is likely to argue the case should be restricted on national security grounds. Apple received a "technical capability notice" under the act in January.

AmiMoJo shares a report: Europe's biggest battery storage project has entered commercial operation in Scotland [alternative source], promising to soak up surplus wind power and prevent turbines being paid to switch off.

Zenobe said the first phase of its project at Blackhillock, between Inverness and Aberdeen, was now live with capacity to store enough power to supply 200 megawatts of electricity for two hours. It is due to be expanded to 300 megawatts by next year, enough to supply 3.1 million homes, more than every household in Scotland.

The government's Clean Power 2030 action plan sets a target capacity of up to 27 gigawatts of batteries by 2030, a sixfold increase from the 4.5 gigawatts installed today. This huge expansion is seen as critical as Britain builds more renewable wind and solar power, since batteries can store surplus generation for use when the wind does not blow and the sun does not shine.

Speaking of some concept devices that Lenovo has unveiled, the company today teased its ThinkBook "codename Flip" AI PC Concept at Mobile World Congress, featuring a flexible 18.1-inch OLED display that can transform between three configurations: a traditional 13.1-inch clamshell, a folded 12.9-inch tablet, or a laptop with an extra-tall vertical screen.

Unlike the motorized ThinkBook Plus Gen 6 expected in June, the Flip uses the display's flexibility to fold behind itself, eliminating motors while gaining 0.4 inches of additional screen space. Users can mirror content on the rear-facing portion when folded or enjoy the full 2000x2664 resolution display in vertical orientation. The concept also features a SmartForcePad trackpad with LED-illuminated shortcut layers. While still in prototype phase, Lenovo has specs in mind: Intel Ultra 7 processor, 32GB RAM, PCIe SSD storage, and Thunderbolt 4 connectivity.

When developers boast "I could write that in a weekend," they're missing the painful reality that haunts software maintainers for years. In a candid blog post, Construct developer Ashley explains why maintaining large software projects is a burden most programmers fail to appreciate. "Writing the initial code for a feature is only a fraction of the work," Ashley explains, estimating it represents just "25% of the total work" in Construct's 750,000-line codebase. The rest? A grinding cycle of "testing, diagnosing and fixing bugs, optimizing performance, upgrading it to work with other changes, refactoring, customer support, writing documentation and similarly revising the documentation over time."

Ashley describes how accepting code contributions feels like someone offering to build you a free extension -- initially attractive until the roof starts leaking years later and the original builder is nowhere to be found. Meanwhile, your tenants (users) are furious, and you're stuck with "no good options." The post recounts Construct's own bruises: a community-contributed storage plugin still causing compatibility headaches a decade later, and third-party libraries that became maintenance nightmares after their creators vanished.

These experiences explain why seasoned maintainers eye large code contributions with deep suspicion rather than gratitude. "If you suggest some software project uses some code -- even a small amount -- will you be there in literally 10 year's time sorting out all the issues that arise from it?" Ashley asks. "Usually the answer is no."

An anonymous reader quotes a report from Ars Technica: Following up on Microsoft's announcement of a qubit based on completely new physics, Amazon is publishing a paper describing a very different take on quantum computing hardware. The system mixes two different types of qubit hardware to improve the stability of the quantum information they hold. The idea is that one type of qubit is resistant to errors, while the second can be used for implementing an error-correction code that catches the problems that do happen. While there have been more effective demonstrations of error correction in the past, a number of companies are betting that Amazon's general approach is the best route to getting logical qubits that are capable of complex algorithms. So, in that sense, it's an important proof of principle. Amazon's quantum computing approach combines cat qubits for data storage and transmons for error correction.

Cat qubits are quantum bits that distribute their superposition state across multiple photons in a resonator, making them highly resistant to bit flip errors. Transmons are superconducting qubits that help detect and correct phase flip errors by enabling weak measurements without destroying the quantum state. Meanwhile, a phase flip is a quantum error that alters the relative phase of a qubit's superposition state without changing its probability distribution. Unlike a bit flip, which swaps a qubit's state probabilities, a phase flip changes how the quantum states interfere, potentially disrupting quantum computations.

By alternating cat qubits with transmons, Amazon reduces the number of hardware qubits needed for error correction. Their tests show that increasing qubits lowers the error rate, proving the system's effectiveness. However, rare bit flips still cause entire logical qubits to fail, and transmons remain prone to both bit and phase flips. If you're still entangled in this story without decohering into pure quantum chaos, kudos to you!

U.S. Director of National Intelligence Tulsi Gabbard has condemned a British order requiring Apple to break its encrypted storage worldwide as an "egregious" violation of American rights that could breach the CLOUD Act facilitating cross-border investigations. In a letter [PDF] to Senator Ron Wyden and Representative Andy Biggs, Gabbard revealed she has directed a legal review of the secret order, which she learned about through media reports.

"This would be a clear and egregious violation of Americans' privacy and civil liberties, and open up a serious vulnerability for cyber exploitation by adversarial actors," Gabbard wrote. The UK Home Office, under the Investigatory Powers Act, prohibited Apple from disclosing the order to Congress or U.S. regulators. The directive would have forced Apple to compromise its Advanced Data Protection encryption, enabling officials to access individual data. Apple refused compliance, instead withdrawing the secure storage option from UK customers while maintaining it elsewhere globally. Despite Apple's pullback, the UK demand for backdoor creation remains. Gabbard pledged to ensure UK actions protect American privacy rights "consistent with the CLOUD Act and other applicable laws."

At its "Second Gen" event today, Framework detailed three new computers: an updated Framework Laptop 13 with AMD Ryzen AI 300, a 4.5-liter Mini-ITX desktop powered by Ryzen AI Max, and a colorful, convertible Framework Laptop 12 designed with students in mind. The latter is defined by Framework as a "defining product." Tom's Hardware reports: Framework Desktop: The Framework Desktop is a 4.5L Mini-ITX machine using AMD's Ryzen AI Max "Strix Halo" chips with Radeon 8060S graphics. While this is a mobile chip, Framework says putting it in a desktop chassis gets it to 120W sustained power and 140W boost "while staying quiet and cool." Framework says this should allow 1440p gaming on intense titles, as well as workstation-class projects and local AI. [...] The base model, with a Ryzen AI Max 385 and 32GB of RAM, starts at $1,099, while the top-end machine with a Ryzen AI Max+ 395 with 128GB of RAM begins at $1,999. Framework is only doing "DIY" editions here, so you'll have to get your own storage drive and bring your own operating system (the company is calling it "the easiest PC you'll ever build"). The mainboard on its own will be available from $799. Pre-orders are open now, and Framework expects to ship sometime in Q3.

Framework Laptop 12: The Laptop 12 is designed to bring the flexibility from the Laptop 12 but make it smaller, cheaper, and in more colors (with an optional stylus to match). These machines are made of ABS plastic molded in thermoplastic polyurethane, all around a metal frame. Framework says that it's "our easiest product ever to repair," but that more information on that will come closer to its launch in mid-2025. I'm really looking forward to this repair guide. It comes in five colorways: lavender, sage, gray, black, and bubblegum. The laptop will come with 13th Gen Intel Core i3 and i5 processors, which aren't the latest, but better than entry-level junk. You'll get up to 48GB of RAM, 2TB of storage, and Wi-Fi 6E. It has a 1920 x 1200 touch screen that the company claims will surpass 400 nits of brightness. There's no pricing information yet, and Framework says there's more to share on pricing and specs later in the year. Pre-orders will open in April ahead of the mid-year launch.

Framework Laptop 13: The Framework Laptop 13 is getting a significant refresh with AMD Ryzen AI 300 Series. It doesn't look all that different on the outside, with a 13.5-inch design that largely resembles the one from way back in 2021. But there are new features. Beyond the processors, the Framework Laptop 3 is getting bumped up to Wi-Fi 7 and is getting a new thermal system, a "next-generation" keyboard, and new colorways for the Expansion Cards and bezels (though I still don't know why you would want a bezel in anything other than black). [...] The new Framework Laptop 13 with AMD Ryzen AI 300 starts at $899 for a DIY Edition without storage or an OS, and $1,099 for a pre-built model. If you're buying the mainboard to put in an old system, that's $449. (Framework is keeping the Ryzen 7040 systems around starting at $749). No word for now on any new Intel models.

The Washington Post looks at a new kind of battery that "could make American EVs cheaper and safer, experts say." If you bought an EV with a lithium iron phosphate (LFP) battery, you could expect lower car payments, less fire risk and more years of use out of your car — but you wouldn't be able to go as far on a single charge as you could with the nickel manganese cobalt (NMC) batteries commonly found in American and European electric cars. That trade-off has made LFP batteries the go-to choice for standard-range EVs in China, helping to make electric cars more affordable and limit pollution. Now, American companies are starting to build their own LFP batteries to catch up to their Chinese rivals... But there are plenty of barriers for U.S. companies that want to adopt a technology dominated by Chinese firms. Tariffs and tax credit restrictions have made it too expensive for most American automakers to import LFP batteries from China, and national security concerns have made it hard for American companies to partner with Chinese battery makers to build factories in the United States...

Although American scientists invented LFP batteries in 1997, U.S. automakers didn't invest in the technology. Instead, they bet on NMC batteries because they have longer range, a big concern for American EV buyers. "Everyone in the West thought LFP was a nonstarter five or six years ago," said Adrian Yao, who founded STEER, a technology research group within Stanford University. "We really did have a myopic focus on" range, he added. That left the door open for Chinese companies to perfect LFP batteries, which have a few advantages. Instead of pricey nickel and cobalt, they use iron, which makes them 20 percent cheaper than NMC batteries, according to the International Energy Agency. While NMC batteries can be recharged up to about 1,000 times before they go kaput — which is enough to put 200,000 miles on most EVs — LFP batteries can last two or three times as long, according to Moura. Plus, LFP batteries' chemistry makes them less likely to catch fire and easier to extinguish. An NMC battery, on the other hand, is so flammable that "you could put it underwater or in space, and it'll keep burning because the oxygen it needs to keep the flame going is embedded within itself," Moura said.

That safety advantage is key, because Chinese firms figured out they could pack LFP cells closer together inside a battery pack without risking a fire. That meant they could cram more energy into LFP batteries and nearly catch up to the range of NMC batteries. Last year, the Chinese battery giant CATL made the first LFP battery with more than 600 miles of range. Since LFP batteries are made from common materials and last longer, they also have a smaller environmental footprint than NMC batteries.
Ford used LFP batteries in its Mach-E sedan (2023) and F-150 Lightning pickup trucks (2024), according to the article, "while Rivian began using them in the basic trims of its R1S SUV and R1T pickup truck this year... American LFP factories are slated to open this year in St. Louis and next year in Arizona." And an environmental engineering professor at the University of California at Berkeley predicts LFP battery factories in the U.S. will "grow quite rapidly over the next five to 10 years."

Apple is removing its most advanced, end-to-end encrypted security feature for cloud data in the United Kingdom [alternative source], in a stunning development after the government ordered the company to build a backdoor for accessing user data. From a report: The company said Friday that Advanced Data Protection, an optional feature that adds end-to-end encryption to a wide assortment of user data is no longer available in the UK for new users.

This layer of security covers iCloud data storage, device backups, web bookmarks, voice memos, notes, photos, reminders and text message backups. "We are gravely disappointed that the protections provided by ADP will not be available to our customers in the UK given the continuing rise of data breaches and other threats to customer privacy," the company said in a statement. "ADP protects iCloud data with end-to-end encryption, which means the data can only be decrypted by the user who owns it, and only on their trusted devices."

An anonymous reader quotes a report from Ars Technica: Just because Meta admitted to torrenting a dataset of pirated books for AI training purposes, that doesn't necessarily mean that Meta seeded the file after downloading it, the social media company claimed in a court filing (PDF) this week. Evidence instead shows that Meta "took precautions not to 'seed' any downloaded files," Meta's filing said. Seeding refers to sharing a torrented file after the download completes, and because there's allegedly no proof of such "seeding," Meta insisted that authors cannot prove Meta shared the pirated books with anyone during the torrenting process.

[...] Meta ... is hoping to convince the court that torrenting is not in and of itself illegal, but is, rather, a "widely-used protocol to download large files." According to Meta, the decision to download the pirated books dataset from pirate libraries like LibGen and Z-Library was simply a move to access "data from a 'well-known online repository' that was publicly available via torrents." To defend its torrenting, Meta has basically scrubbed the word "pirate" from the characterization of its activity. The company alleges that authors can't claim that Meta gained unauthorized access to their data under CDAFA. Instead, all they can claim is that "Meta allegedly accessed and downloaded datasets that Plaintiffs did not create, containing the text of published books that anyone can read in a public library, from public websites Plaintiffs do not operate or own."

While Meta may claim there's no evidence of seeding, there is some testimony that might be compelling to the court. Previously, a Meta executive in charge of project management, Michael Clark, had testified (PDF) that Meta allegedly modified torrenting settings "so that the smallest amount of seeding possible could occur," which seems to support authors' claims that some seeding occurred. And an internal message (PDF) from Meta researcher Frank Zhang appeared to show that Meta allegedly tried to conceal the seeding by not using Facebook servers while downloading the dataset to "avoid" the "risk" of anyone "tracing back the seeder/downloader" from Facebook servers. Once this information came to light, authors asked the court for a chance to depose Meta executives again, alleging that new facts "contradict prior deposition testimony." "Meta has been 'silent so far on claims about sharing data while 'leeching' (downloading) but told the court it plans to fight the seeding claims at summary judgement," notes Ars.

Twitch is planning to cull some of the content archived by streamers to save on storage costs. From a report: On Wednesday the streaming platform announced that it will introduce a 100-hour storage cap for Highlights and Uploads starting April 19th, warning that users will have their content automatically deleted until it falls below the limit.

Twitch says it's doing this because "Highlights haven't been very effective in driving discovery or engagement," and it isn't worth the cost of storing thousands of hours of such content. Twitch is owned by Amazon, a market-leading cloud storage provider -- a detail that hasn't gone unnoticed by streamers criticizing the decision.

Apple has launched the iPhone 16E, featuring a 6.1-inch OLED display, Face ID, an A18 chipset, USB-C, 48MP camera, and support for Apple Intelligence. Gone but not forgotten: the home button, Touch ID and 64GB of base storage. The Verge reports: The 16E includes the customizable Action Button, but not the new Camera Control you'll find on the 16 series. It does swap its Lightning port for USB-C, now a requirement for the phone to be sold in the EU. On the inside, there's an A18 chipset, the same chip as the iPhone 16. That makes the 16E powerful enough to run Apple Intelligence, the suite of AI tools that includes notification summaries. Even the non-Pro iPhone 15 can't do that, so the 16E is one of the most capable iPhones out there. Apple has previously confirmed that 8GB RAM was the minimum to get Apple Intelligence support in the iPhone 16 series, so it's likely that the 16E also boasts at least that much memory. It's also been bumped to a baseline of 128GB of storage, meaning there's no longer a 64GB iPhone.

There's only a single 48-megapixel rear camera; the lack of additional cameras is the biggest downgrade compared to the company's other handsets. With support for wireless charging and a water-resistant IP rating, there's little you have to give up elsewhere. The iPhone 16E is also the first iPhone to include a modem developed by Apple itself. The company has spent years trying to move away from modems developed by Qualcomm, and we're finally seeing the fruits of that labor. The big questions now are how well the new modem performs and whether Apple is ready to roll out its own connectivity components in the iPhone 17 line later this year. It's available for Friday starting at $599 with 128GB of storage.

SanDisk aims to produce petabyte-scale SSDs through its new UltraQLC platform, though the company has not specified a release timeline. The technology, it said, combines SanDisk's BICS 8 QLC 3D NAND with a proprietary 64-channel controller featuring hardware accelerators that offload storage functions from firmware to reduce latency and improve reliability.

The initial UltraQLC drives will use 2Tb NAND chips to reach 128TB capacities, with future iterations targeting 256TB, 512TB, and eventually 1PB as higher-density NAND becomes available. The controller dynamically adjusts power based on workload and employs an advanced bus multiplexer to handle increased data loads from high-density QLC stacks, the company said.

NAND flash prices are expected to slide due to oversupply, forcing memory chipmakers to cut production to match lower-than-expected orders from PC and smartphone manufacturers. From a report: The superabundance of stock is putting a financial strain on suppliers of NAND flash, according to TrendForce, which says growth rate forecasts are being revised down from 30 percent to 10-15 percent for 2025.

"NAND flash manufacturers have adopted more decisive production cuts, scaling back full-year output to curb bit supply growth. These measures are designed to swiftly alleviate market imbalances and lay the groundwork for a price recovery," TrendForce stated.

Shrish Pant, Gartner director analyst and technology product leader, expects NAND flash pricing to remain weak for the first half of 2025, though he projects higher bit shipments for SSDs in the second half due to continuing AI server demand.

"Vendors are currently working tirelessly to discipline supply, which will lead to prices recovering in the second half of 2025. Long term, AI demand will continue to drive the demand for higher-capacity/better-performance SSDs," Pant said. Commenting on the seasonal nature of the memory market, Pant told The Register: "Buying patterns will mean that NAND flash prices will remain cyclical depending on hyperscalers' buying behavior."

Apps offering lifetime subscriptions may pose risks despite potential cost savings, according to cybersecurity experts and analysts. While some lifetime plans can pay off quickly - like dating app Bumble's $300 premium subscription that breaks even in five months - others require years of use to justify hefty upfront costs. Meditation app Waking Up charges $1,500 for lifetime access, requiring over 11 years of use to recoup the investment.

Security researchers warn against lifetime subscriptions for services with high recurring costs like VPNs and cloud storage. Such providers may compromise user privacy or cut corners on infrastructure to offset losses, said Trevor Hilligoss, senior vice president at cybercrime research group SpyCloud Labs.

Today Seoul's Personal Information Protection Commission "said DeepSeek would no longer be available for download until a review of its personal data collection practices was carried out," reports AFP. A number of countries have questioned DeepSeek's storage of user data, which the firm says is collected in "secure servers located in the People's Republic of China"... This month, a slew of South Korean government ministries and police said they blocked access to DeepSeek on their computers. Italy has also launched an investigation into DeepSeek's R1 model and blocked it from processing Italian users' data. Australia has banned DeepSeek from all government devices on the advice of security agencies. US lawmakers have also proposed a bill to ban DeepSeek from being used on government devices over concerns about user data security.
More details from the Associated Press: The South Korean privacy commission, which began reviewing DeepSeek's services last month, found that the company lacked transparency about third-party data transfers and potentially collected excessive personal information, said Nam Seok [director of the South Korean commission's investigation division]... A recent analysis by Wiseapp Retail found that DeepSeek was used by about 1.2 million smartphone users in South Korea during the fourth week of January, emerging as the second-most-popular AI model behind ChatGPT.

Yahoo Finance shares an interesting prediction. Amazon has an "under-the-radar robot push" that "could boost its profit margins big-time, Morgan Stanley managing director Brian Nowak said." Nowak said Amazon has quietly developed six significant next-generation fulfillment centers in the past three years that bring automation front and center... Amazon now has industrial robots that can increase efficiencies across the storage, inventory management, pick and packing, and sorting order fulfillment processes.

Fulfillment costs make up about 20% of Amazon's retail revenue, so he reasoned that automation could have a significant impact on long-term operating profit potential. Nowak says if 30% to 40% of Amazon's US units were fulfilled through next-generation robotics-enabled warehouses by 2030, it could lead to $10 billion-plus of savings... The investments in robots may already be paying off. Amazon's North America retail operating margins on a trailing 12-month basis have risen for five straight quarters. North America operating margins improved to 6.2% from 4.6% a year ago.
Nowak made the remarks on a Yahoo Finance podcast (at the top of their article) after touring one of Amazon's robot-enhanced sites in Louisiana. He believes robotics can drive down Amazon's costs compared to other retailers like Target (which he sees as lagging behind Amazon on robotics).

Meanwhile workers at an Amazon facility in North Carolina held a vote Saturday on whether to unionize. But roughly 75% of the workers voted against unionization.

According to The Intercept, the IRS is set to purchase an Nvidia SuperPod AI supercomputer to enhance its machine learning capabilities for tasks like fraud detection and taxpayer behavior analysis. From the report: With Elon Musk's so-called Department of Government Efficiency installing itself at the IRS amid a broader push to replace federal bureaucracy with machine-learning software, the tax agency's computing center in Martinsburg, West Virginia, will soon be home to a state-of-the-art Nvidia SuperPod AI computing cluster. According to the previously unreported February 5 acquisition document, the setup will combine 31 separate Nvidia servers, each containing eight of the company's flagship Blackwell processors designed to train and operate artificial intelligence models that power tools like ChatGPT. The hardware has not yet been purchased and installed, nor is a price listed, but SuperPod systems reportedly start at $7 million. The setup described in the contract materials notes that it will include a substantial memory upgrade from Nvidia.

Though small compared to the massive AI-training data centers deployed by companies like OpenAI and Meta, the SuperPod is still a powerful and expensive setup using the most advanced technology offered by Nvidia, whose chips have facilitated the global machine-learning spree. While the hardware can be used in many ways, it's marketed as a turnkey means of creating and querying an AI model. Last year, the MITRE Corporation, a federally funded military R&D lab, acquired a $20 million SuperPod setup to train bespoke AI models for use by government agencies, touting the purchase as a "massive increase in computing power" for the United States.

How exactly the IRS will use its SuperPod is unclear. An agency spokesperson said the IRS had no information to share on the supercomputer purchase, including which presidential administration ordered it. A 2024 report by the Treasury Inspector General for Tax Administration identified 68 different AI-related projects underway at the IRS; the Nvidia cluster is not named among them, though many were redacted. But some clues can be gleaned from the purchase materials. "The IRS requires a robust and scalable infrastructure that can handle complex machine learning (ML) workloads," the document explains. "The Nvidia Super Pod is a critical component of this infrastructure, providing the necessary compute power, storage, and networking capabilities to support the development and deployment of large-scale ML models."

The document notes that the SuperPod will be run by the IRS Research, Applied Analytics, and Statistics division, or RAAS, which leads a variety of data-centric initiatives at the agency. While no specific uses are cited, it states that this division's Compliance Data Warehouse project, which is behind this SuperPod purchase, has previously used machine learning for automated fraud detection, identity theft prevention, and generally gaining a "deeper understanding of the mechanisms that drive taxpayer behavior."

Western Digital plans to introduce its first heat-assisted magnetic recording (HAMR) drives in late 2026, with 36TB conventional magnetic recording (CMR) and 44TB shingled UltraSMR variants. Volume production won't begin until the first half of 2027, following qualification by cloud data center providers in late 2026.

The company projects that HAMR technology, combined with OptiNAND, increased platter count, and mechanical improvements, will enable drives reaching 80TB CMR and 100TB UltraSMR capacities around 2030 -- a departure from Western Digital's previous commitment to microwave-assisted magnetic recording (MAMR) in 2017, which evolved into the energy-assisted perpendicular magnetic recording (ePMR) technology used in current drives.