“Walmart is bringing drone deliveries to three more states,” reports CNBC:

On Thursday, the big-box retailer said it plans to launch the speedier delivery option at 100 stores in Atlanta, Charlotte, Houston, Orlando and Tampa within the coming year. With the expansion, Walmart’s drone deliveries will be available in a total of five states: [parts of northwest] Arkansas, Florida, Georgia, North Carolina and [the Dallas-Fort Worth area of] Texas… The drone operator will have an up to a six-mile range from stores.
Walmart tells CNBC the most frequently delivered items include ice cream, fresh fruit, and pet food, as well as “urgent items, such as hamburger buns for a cookout, eggs to make brownies or Tylenol or cold medicine needed when sick.” It’s all part of Walmart’s effort to compete with Amazon:

With more than 4,600 Walmart stores across the U.S., the retailer has used its large footprint to get online orders to customers faster. It has an Express Delivery service that drops purchases at customers’ doors in as fast as 30 minutes, along with InHome, a subscription-based service, that puts items directly into people’s fridges. The company began same-day prescription deliveries last fall and has expanded the service across the country…. Walmart stores have an assortment of over 150,000 items in a location. Over 50% of those can be delivered by drone, said Greg Cathey [Walmart’s senior VP for U.S. transformation and innovation]… Walmart’s drone delivery count so far is modest. The company did not share the specific count, but said it has racked up a total of more than 150,000 drone deliveries since 2021.

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When Nintendo launched the Switch in 2017, the sheer novelty of the new hardware brought the company a lot of renewed attention. After the market disaster of the Wii U’s homebound “second screen” tablet, Nintendo exploited advances in system-on-a-chip miniaturization to create something of a minimum viable HD-capable system that could work as both a lightweight handheld and a slightly underpowered TV-based console. That unique combination, and Nintendo’s usual selection of first-party system sellers, set the console apart from what the rest of the gaming market was offering at the time.

Eight years later, the Switch 2 launched into a transformed gaming hardware market that the original Switch played a large role in shaping, one full of portable gaming consoles that can optionally be connected to a TV. That includes full-featured handheld gaming PCs like the Steam Deck and its many imitators, but also streaming-focused Android-based gaming handhelds and retro-focused emulation machines on the cheaper end. Even Microsoft is preparing to get in on the act, streamlining the Windows gaming experience for an Asus-powered handheld gaming PC that hides the Windows desktop.

Mario is excited! Are you?
Credit:
Kyle Orland

Those market changes make the Switch 2 a lot less of a novelty than its predecessor. As its name implies, it is essentially a direct sequel to the original Switch hardware, with improvements to the physical hardware and internal architecture. Rather than shaking things up with a new concept, Nintendo seems to be saying, “Hey, you liked the Switch? Here’s the same thing, but moreso.”

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KDE isn’t the only organization reaching out to ” as Microsoft prepares to end support for Windows 10.

“Now, The Document Foundation, maker of LibreOffice, has also joined in to support the Endof10 initiative,” reports the tech blog Neowin:
The foundation writes: “You don’t have to follow Microsoft’s upgrade path. There is a better option that puts control back in the hands of users, institutions, and public bodies: Linux and LibreOffice. Together, these two programmes offer a powerful, privacy-friendly and future-proof alternative to the Windows + Microsoft 365 ecosystem.”

It further adds the “real costs” of upgrading to Windows 11 as it writes:

“The move to Windows 11 isn’t just about security updates. It increases dependence on Microsoft through aggressive cloud integration, forcing users to adopt Microsoft accounts and services. It also leads to higher costs due to subscription and licensing models, and reduces control over how your computer works and how your data is managed. Furthermore, new hardware requirements will render millions of perfectly good PCs obsolete…. The end of Windows 10 does not mark the end of choice, but the beginning of a new era. If you are tired of mandatory updates, invasive changes, and being bound by the commercial choices of a single supplier, it is time for a change. Linux and LibreOffice are ready — 2025 is the right year to choose digital freedom!”
The first words on LibreOffice’s announcement? “The countdown has begun….”

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Spain’s newspaper El Pais found an entire fake album on YouTube titled Rumba Congo (1973). And they cite a study from France’s International Confederation of Societies of Authors and Composers that estimated revenue from AI-generated music will rise to $4 billion in 2028, generating 20% of all streaming platforms’ revenue:

One of the major problems with this trend is the lack of transparency. María Teresa Llano, an associate professor at the University of Sussex who studies the intersection of creativity, art and AI, emphasizes this aspect: “There’s no way for people to know if something is AI or not….” On Spotify Community — a forum for the service’s users — a petition is circulating that calls for clear labeling of AI-generated music, as well as an option for users to block these types of songs from appearing on their feeds. In some of these forums, the rejection of AI-generated music is palpable.

Llano mentions the feelings of deception or betrayal that listeners may experience, but asserts that this is a personal matter. There will be those who feel this way, as well as those who admire what the technology is capable of… One of the keys to tackling the problem is to include a warning on AI-generated songs. YouTube states that content creators must “disclose to viewers when realistic content […] is made with altered or synthetic media, including generative AI.” Users will see this if they glance at the description. But this is only when using the app, because on a computer, they will have to scroll down to the very end of the description to get the warning….

The professor from the University of Sussex explains one of the intangibles that justifies the labeling of content: “In the arts, we can establish a connection with the artist; we can learn about their life and what influenced them to better understand their career. With artificial intelligence, that connection no longer exists.”

YouTube says they may label AI-generated content if they become aware of it, and may also remove it altogether, according to the article. But Spotify “hasn’t shared any policy for labeling AI-powered content…”

In an interview with Gustav Söderström, Spotify’s co-president and chief product & technology officer, he emphasized that AI “increases people’s creativity” because more people can be creative, thanks to the fact that “you don’t need to have fine motor skills on the piano.” He also made a distinction between music generated entirely with AI and music in which the technology is only partially used. But the only limit he mentioned for moderating artificial music was copyright infringement… something that has been a red line for any streaming service for many years now. And such a violation is very difficult to legally prove when artificial intelligence is involved.

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An anonymous reader shared this report from Bloomberg:

Amazon’s hard-line stance on getting disabled employees to return to the office has sparked a backlash, with workers alleging the company is violating the Americans with Disabilities Act as well as their rights to collectively bargain. At least two Amazon employees have filed complaints with the Equal Employment Opportunity Commission (EEOC) and the National Labor Relations Board, federal agencies that regulate working conditions. One of the workers said they provided the EEOC with a list of 18 “similarly situated” employees to emphasize that their experience isn’t isolated and to help federal regulators with a possible investigation.

Disabled workers frustrated with how Amazon is handling their requests for accommodations — including exemptions to a mandate that they report to the office five days a week — are also venting their displeasure on internal chat rooms and have encouraged colleagues to answer surveys about the policies. Amazon has been deleting such posts and warning that they violate rules governing internal communications. One employee said they were terminated and another said they were told to find a different position after advocating for disabled workers on employee message boards. Both filed complaints with the EEOC and NLRB.

Amazon has told employees with disabilities they must now submit to a “multilevel leader review,” Bloomberg reported in October, “and could be required to return to the office for monthlong trials to determine if accommodations meet their needs.” (They received calls from “accommodation consultants” who also reviewed medical documentation, after which “another Amazon manager must sign off. If they don’t, the request goes to a third manager…”)

Bloomberg’s new article remembers how several employees told them in November. “that they believed the system was designed to deny work-from-home accommodations and prompt employees with disabilities to quit, which some have done. Amazon denied the system was designed to encourage people to resign.”
Since then, workers have mobilized against the policy. One employee repeatedly posted an online survey seeking colleagues’ reactions, defying the company’s demands to stop. The survey ultimately generated feedback from more than 200 workers even though Amazon kept deleting it, and the results reflected strong opposition to Amazon’s treatment of disabled workers. More than 71% of disabled Amazon employees surveyed said the company had denied or failed to meet most of their accommodation requests, while half indicated they faced “hostile” work environments after disclosing their disabilities and requesting accommodations.
One respondent said they sought permission to work from home after suffering multiple strokes that prevented them from driving. Amazon suggested moving closer to the office and taking mass transit, the person said in the survey. Another respondent said they couldn’t drive for longer than 15-minute intervals due to chronic pain. Amazon’s recommendation was to pull over and stretch during their commute, which the employee said was unsafe since they drive on a busy freeway… Amazon didn’t dispute the accounts and said it considered a range of solutions to disability accommodations, including changes to an employee’s commute.

Amazon is also “using AI to parse accommodation requests, read doctors’ notes and make recommendations based on keywords,” according to the article — another policy that’s also generated internal opposition (and formed a “key element” of the complaint to the Equal Employment Opportunity Commission).

“The dispute could affect thousands of Amazon workers. An internal Slack channel for employees with disabilities has 13,000 members, one of the people said…”

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In Tokyo Mitsubishi is deploying “an innovative new battery swap network for electric cars” in a multi-year test program reports the EV news site Electrek.

But it’s not just for electric cars. Along with the 14 modular battery swapping stations, Mitsubishi is also deploying “more than 150 battery-swappable commercial electric vehicles” from truck maker Fuso:

A truck like the Mitsubishi eCanter typically requires a full night of AC charging to top off its batteries, and at least an hour or two on DC charging in Japan, according to Fuso. This joint pilot by Mitsubishi, Mitsubishi Fuso Trucks, and [EV battery swap specialist] Ample aims to circumvent this issue of forced downtime with its swappable batteries, supporting vehicle uptime by delivering a full charge within minutes.

The move is meant to encourage the transport industry’s EV shift while creating a depository of stored energy that can be deployed to the grid in the event of a natural disaster — something Mitsubishi in Japan has been working on for years.
The article’s author also adds their own opinion about battery-swapping technology. “When you see how simple it is to add hundreds of miles of driving in just 100 seconds — quicker, in many cases, than pumping a tank of liquid fuel into an ICE-powered car — you might come around, yourself.”

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Timothy B. Lee has written for the Washington Post, Vox.com, and Ars Technica — and now writes a Substack blog called “Understanding AI.”
This week he visits recent research by computer scientists and legal scholars from Stanford, Cornell, and West Virginia University that found that Llama 3.1 70BÂ(released in July 2024) has memorized 42% of the first Harry Potter book well enough to reproduce 50-token excerpts at least half the time…
The paper was published last month by a team of computer scientists and legal scholars from Stanford, Cornell, and West Virginia University. They studied whether five popular open-weight models — three from Meta and one each from Microsoft and EleutherAI — were able to reproduce text from Books3, a collection of books that is widely used to train LLMs. Many of the books are still under copyright… Llama 3.1 70B — a mid-sized model Meta released in July 2024 — is far more likely to reproduce Harry Potter text than any of the other four models….
Interestingly, Llama 1 65B, a similar-sized model released in February 2023, had memorized only 4.4 percent of Harry Potter and the Sorcerer’s Stone. This suggests that despite the potential legal liability, Meta did not do much to prevent memorization as it trained Llama 3. At least for this book, the problem got much worse between Llama 1 and Llama 3. Harry Potter and the Sorcerer’s Stone was one of dozens of books tested by the researchers. They found that Llama 3.1 70B was far more likely to reproduce popular books — such as The Hobbit and George Orwell’s 1984 — than obscure ones. And for most books, Llama 3.1 70B memorized more than any of the other models…

For AI industry critics, the big takeaway is that — at least for some models and some books — memorization is not a fringe phenomenon. On the other hand, the study only found significant memorization of a few popular books. For example, the researchers found that Llama 3.1 70B only memorized 0.13 percent of Sandman Slim, a 2009 novel by author Richard Kadrey. That’s a tiny fraction of the 42 percent figure for Harry Potter… To certify a class of plaintiffs, a court must find that the plaintiffs are in largely similar legal and factual situations. Divergent results like these could cast doubt on whether it makes sense to lump J.K. Rowling, Richard Kadrey, and thousands of other authors together in a single mass lawsuit. And that could work in Meta’s favor, since most authors lack the resources to file individual lawsuits.

Why is it happening? “Maybe Meta had trouble finding 15 trillion distinct tokens, so it trained on the Books3 dataset multiple times. Or maybe Meta added third-party sources — such as online Harry Potter fan forums, consumer book reviews, or student book reports — that included quotes from Harry Potter and other popular books…”

“Or there could be another explanation entirely. Maybe Meta made subtle changes in its training recipe that accidentally worsened the memorization problem.”

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Meta and AWS have used Rust, and Netflix uses Go,reports the programming news site InfoQ. But using another language, Apple recently “migrated its global Password Monitoring service from Java to Swift, achieving a 40% increase in throughput, and significantly reducing memory usage.”

This freed up nearly 50% of their previously allocated Kubernetes capacity, according to the article, and even “improved startup time, and simplified concurrency.”

In a recent post, Apple engineers detailed how the rewrite helped the service scale to billions of requests per day while improving responsiveness and maintainability… “Swift allowed us to write smaller, less verbose, and more expressive codebases (close to 85% reduction in lines of code) that are highly readable while prioritizing safety and efficiency.”
Apple’s Password Monitoring service, part of the broader Password app’s ecosystem, is responsible for securely checking whether a user’s saved credentials have appeared in known data breaches, without revealing any private information to Apple. It handles billions of requests daily, performing cryptographic comparisons using privacy-preserving protocols. This workload demands high computational throughput, tight latency bounds, and elastic scaling across regions… Apple’s previous Java implementation struggled to meet the service’s growing performance and scalability needs. Garbage collection caused unpredictable pause times under load, degrading latency consistency. Startup overhead — from JVM initialization, class loading, and just-in-time compilation, slowed the system’s ability to scale in real time. Additionally, the service’s memory footprint, often reaching tens of gigabytes per instance, reduced infrastructure efficiency and raised operational costs.
Originally developed as a client-side language for Apple platforms, Swift has since expanded into server-side use cases…. Swift’s deterministic memory management, based on reference counting rather than garbage collection (GC), eliminated latency spikes caused by GC pauses. This consistency proved critical for a low-latency system at scale. After tuning, Apple reported sub-millisecond 99.9th percentile latencies and a dramatic drop in memory usage: Swift instances consumed hundreds of megabytes, compared to tens of gigabytes with Java.

“While this isn’t a sign that Java and similar languages are in decline,” concludes InfoQ’s article, “there is growing evidence that at the uppermost end of performance requirements, some are finding that general-purpose runtimes no longer suffice.”

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