PayPal hopes to boost its growth by starting an ad network [non-paywalled link] juiced with something it already owns: data on its millions of users. From a report: The digital payments company plans to build an ad sales business around the reams of data it generates from tracking the purchases as well as the broader spending behaviors of millions of consumers who use its services, which include the more socially-enabled Venmo app. PayPal has hired Mark Grether, who formerly led Uber's advertising business, to lead the effort as senior vice president and general manager of its newly-created PayPal Ads division. In his new role, he will be responsible for developing new ad formats, overseeing sales and hiring staff to fill out the division, he said.

PayPal in January introduced Advanced Offers, its first ad product, which uses AI and the company's data to help merchants target PayPal users with discounts and other personalized promotions. Advanced Offers only charges advertisers when consumers make a purchase. Online marketplaces eBay and Zazzle have begun testing it, according to a PayPal spokesman. But PayPal now aims to sell ads not only to its own customers, but to so-called non-endemic advertisers, or those that don't sell products or services through PayPal. Those companies might use PayPal data to target consumers with ads that could be displayed elsewhere, for instance, on other websites or connected TV sets.

A hacker group called RansomHub said it was behind the cyberattack that hit the Christie's website just days before its marquee spring sales began, forcing the auction house to resort to alternatives to online bidding. From a report: In a post on the dark web on Monday, the group claimed that it had gained access to sensitive information about the world's wealthiest art collectors, posting only a few examples of names and birthdays. It was not immediately possible to verify RansomHub's claims, but several cybersecurity experts said they were a known ransomware operation and that the claim was plausible. Nor was it clear if the hackers had gained access to more sensitive information, including financial data and client addresses. The group said it would release the data, posting a countdown timer that would reach zero by the end of May.

At Christie's, a spokesman said in a statement, "Our investigations determined there was unauthorized access by a third party to parts of Christie's network." The spokesman, Edward Lewine, said that the investigations "also determined that the group behind the incident took some limited amount of personal data relating to some of our clients." He added, "There is no evidence that any financial or transactional records were compromised." Hackers said that Christie's failed to pay a ransom when one was demanded.

This week the Washington Post noted that just last year nearly 1.2 million more electric vehicles were sold in America, "accounting for over 7 percent of total new car sales and a new national record." But "data show that EV sales are far outpacing growth in the U.S. charging network... In 2016, there were seven electric cars for each public charging point; today, there's more than 20 electric cars per charger."

The article points out that 80% of America's EV's are just charging at home, according to the U.S. Energy Department. (Which seems to leave one public charger for every four EVs that don't charge at home.) And the article notes several other important caveats: Experts say that there is no "magic number" for the best ratio of EVs on the road to public chargers. "It absolutely depends on the local landscape," said Peter Slowik, U.S. passenger vehicles lead for the International Council on Clean Transportation. Globally, there is about 1 public charger for every 11 EVs, according to the International Energy Agency. But in countries where there are more single-family homes and garages, the ratio could be lower....

In a way, the United States' slow charging build-out could be a benefit in the long-term: Many automakers have now promised to switch to Tesla's charging connector in the next few years, which could help put most cars on the same system.

Not everyone agrees there is a delay. Slowik says that his team's research shows that the United States is on-track for building out the charging needed over the next eight years. An increase in the number of EVs per public charger is a natural part of the adoption process, he argues, that will subside with more sales and as more chargers come online.
Still, the article argues if Americans continue buying electric cars, public chargers will be essential "to support long road trips, help apartment-dwellers go electric and alleviate overnight pressure on electricity grids."

Today U.S. Transportation Secretary Pete Buttigieg reiterated America's commitment to having a national network of 500,000 charges by 2030, saying the country is at "the absolute very, very beginning stages of the construction to come."

"While general-purpose languages like Python, C++, and Java remain popular in AI development," writes VentureBeat, "the resurgence of AI-first languages signifies a recognition that AI's unique demands require specialized languages tailored to the domain's specific needs... designed from the ground up to address the specific needs of AI development." Bend, created by Higher Order Company, aims to provide a flexible and intuitive programming model for AI, with features like automatic differentiation and seamless integration with popular AI frameworks. Mojo, developed by Modular AI, focuses on high performance, scalability, and ease of use for building and deploying AI applications. Swift for TensorFlow, an extension of the Swift programming language, combines the high-level syntax and ease of use of Swift with the power of TensorFlow's machine learning capabilities...

At the heart of Mojo's design is its focus on seamless integration with AI hardware, such as GPUs running CUDA and other accelerators. Mojo enables developers to harness the full potential of specialized AI hardware without getting bogged down in low-level details. One of Mojo's key advantages is its interoperability with the existing Python ecosystem. Unlike languages like Rust, Zig or Nim, which can have steep learning curves, Mojo allows developers to write code that seamlessly integrates with Python libraries and frameworks. Developers can continue to use their favorite Python tools and packages while benefiting from Mojo's performance enhancements... It supports static typing, which can help catch errors early in development and enable more efficient compilation... Mojo also incorporates an ownership system and borrow checker similar to Rust, ensuring memory safety and preventing common programming errors. Additionally, Mojo offers memory management with pointers, giving developers fine-grained control over memory allocation and deallocation...

Mojo is conceptually lower-level than some other emerging AI languages like Bend, which compiles modern high-level language features to native multithreading on Apple Silicon or NVIDIA GPUs. Mojo offers fine-grained control over parallelism, making it particularly well-suited for hand-coding modern neural network accelerations. By providing developers with direct control over the mapping of computations onto the hardware, Mojo enables the creation of highly optimized AI implementations.

According to Mojo's creator, Modular, the language has already garnered an impressive user base of over 175,000 developers and 50,000 organizations since it was made generally available last August. Despite its impressive performance and potential, Mojo's adoption might have stalled initially due to its proprietary status. However, Modular recently decided to open-source Mojo's core components under a customized version of the Apache 2 license. This move will likely accelerate Mojo's adoption and foster a more vibrant ecosystem of collaboration and innovation, similar to how open source has been a key factor in the success of languages like Python.

Developers can now explore Mojo's inner workings, contribute to its development, and learn from its implementation. This collaborative approach will likely lead to faster bug fixes, performance improvements and the addition of new features, ultimately making Mojo more versatile and powerful.
The article also notes other languages "trying to become the go-to choice for AI development" by providing high-performance execution on parallel hardware. Unlike low-level beasts like CUDA and Metal, Bend feels more like Python and Haskell, offering fast object allocations, higher-order functions with full closure support, unrestricted recursion and even continuations. It runs on massively parallel hardware like GPUs, delivering near-linear speedup based on core count with zero explicit parallel annotations — no thread spawning, no locks, mutexes or atomics. Powered by the HVM2 runtime, Bend exploits parallelism wherever it can, making it the Swiss Army knife for AI — a tool for every occasion...

The resurgence of AI-focused programming languages like Mojo, Bend, Swift for TensorFlow, JAX and others marks the beginning of a new era in AI development. As the demand for more efficient, expressive, and hardware-optimized tools grows, we expect to see a proliferation of languages and frameworks that cater specifically to the unique needs of AI. These languages will leverage modern programming paradigms, strong type systems, and deep integration with specialized hardware to enable developers to build more sophisticated AI applications with unprecedented performance. The rise of AI-focused languages will likely spur a new wave of innovation in the interplay between AI, language design and hardware development. As language designers work closely with AI researchers and hardware vendors to optimize performance and expressiveness, we will likely see the emergence of novel architectures and accelerators designed with these languages and AI workloads in mind. This close relationship between AI, language, and hardware will be crucial in unlocking the full potential of artificial intelligence, enabling breakthroughs in fields like autonomous systems, natural language processing, computer vision, and more.

The future of AI development and computing itself are being reshaped by the languages and tools we create today.
In 2017 Modular AI's founder Chris Lattner (creator of the Swift and LLVM) answered questions from Slashdot readers.

Malaysia Airlines Flight 370 vanished in 2014 — and efforts continue to find it. In 2018 a UK-based video producer claimed to have discovered the crashed aircraft on Google Maps — but Newsweek pointed out the same wreckage "is visible in imagery dating back to January 1, 2004 — more than a decade before MH370 disappeared."

Marine robotics company Ocean Infinity also failed to find the aircraft after a five-month search in 2018 — but has returned to the headlines this March, writes the Independent, "claiming that they have scientific evidence" for the flight's final resting place. (The company's CEO says the last six years they've been "innovating with technology and robotics to further advance our ocean search capabilities.")

And this week Indian Express reported that researchers from the UK's Cardiff University investigating the mystery "have come up with a novel plan to unravel it — sea explosions."

More from the Economic Times: Scientists have said that airplanes crashing over oceans create unique acoustic signatures that can travel more than 3,000km through water. These acoustic signatures can be recorded by a network of 11 hydroacoustic stations worldwide that are dotted along the seabed. Researchers at Cardiff University have said that a series of controlled underwater explosions or air gunfire along the 7th arc [where the plane last communicated] can be done to see whether they can isolate a more precise location for MH370.
More details from NDTV: "[W]ithin the time frame and location suggested by the official search, only a single, relatively weak signal was identified,'' Dr Kadri said... ''Similar exercises were performed in the search and rescue mission for the ARA San Juan, a submarine that vanished off the coast of Argentina in 2017. This shows us that it is relatively straightforward and feasible and could provide a means to determine the signal's relevance to MH370, prior to resuming with another extensive search. If found to be related, this would significantly narrow down, almost pinpoint, the aircraft's location,'' Dr Kadri added...

Despite the largest search in aviation history, the plane has never been found.
An announcement from Cardiff University adds that "The experiments would also help develop the use of hydroacoustic technology as a tool for authorities to draw upon when narrowing down potential crash locations for airplanes in the future."

Roughly 160,000 U.S.-based amateur radio enthusiasts belong to the American Radio Relay League, a nonprofit with 100 full-time and part-time staff members.

Nine days ago it announced "that it suffered a cyberattack that disrupted its network and systems," reports BleepingComputer, "including various online services hosted by the organization." "We are in the process of responding to a serious incident involving access to our network and headquarters-based systems. Several services, such as Logbook of The World and the ARRL Learning Center, are affected," explained ARRL in a press release... [T]he ARRL took steps to allay members' concerns about the security of their data, confirming that they do not store credit card information or collect social security numbers.

However, the organization confirmed that its member database contains some private information, including names, addresses, and call signs. While they do not specifically state email addresses are stored in the database, one is required to become a member of the organization.
"The ARRL has not specifically said that its member database has been accessed by hackers," Security Week points out, "but its statement suggests it's possible."

The site adds that it has also "reached out to ARRL to find out if this was a ransomware attack and whether the attackers made any ransom demand."

Thanks to Slashdot reader AzWa Snowbird for sharing the news.

Minnesota this week eliminated two laws that made it harder for cities and towns to build their own broadband networks. From a report: The state-imposed restrictions were repealed in an omnibus commerce policy bill signed on Tuesday by Gov. Tim Walz, a Democrat. Minnesota was previously one of about 20 states that imposed significant restrictions on municipal broadband. The number can differ depending on who's counting because of disagreements over what counts as a significant restriction. But the list has gotten smaller in recent years because states including Arkansas, Colorado, and Washington repealed laws that hindered municipal broadband. The Minnesota bill enacted this week struck down a requirement that municipal telecommunications networks be approved in an election with 65 percent of the vote. The law is over a century old, the Institute for Local Self-Reliance's Community Broadband Network Initiative wrote yesterday.

fjo3 quotes a report from Reuters: SpaceX on Wednesday launched an inaugural batch of operational spy satellites it built as part of a new U.S. intelligence network designed to significantly upgrade the country's space-based surveillance powers, the first deployment of several more planned this year. The spy network was revealed in a pair of Reuters reports earlier this year showing SpaceX is building hundreds of satellites for the U.S. National Reconnaissance Office, an intelligence agency, for a vast system in orbit capable of rapidly spotting ground targets almost anywhere in the world.

SpaceX's Falcon 9 rocket lifted off from the Vandenberg Space Force Base in Southern California at 4 a.m. EDT on Wednesday, carrying into space what the NRO said was the "first launch of the NRO's proliferated systems featuring responsive collection and rapid data delivery." "Approximately half a dozen launches supporting NRO's proliferated architecture are planned for 2024, with additional launches expected through 2028," the agency said, without naming the number of satellites deployed.

An anonymous reader quotes a report from NPR: Hospital staff are forced to write notes by hand and deliver orders for tests and prescriptions in person in the ongoing fallout from a recent ransomware attack at the national health system Ascension. Ascension is one of the largest health systems in the United States, with some 140 hospitals located across 19 states and D.C. A spokesperson said in a statement that "unusual activity" was first detected on multiple technology network systems Ascension uses on Wednesday, May 8. Later, representatives confirmed that some of Ascension's electronic health records systems had been affected, along with systems used "to order certain tests, procedures and medications."

Some phone capabilities have also been offline, and patients have been unable to access portals used to view medical records and get in touch with their doctors. Due to these interruptions, hospital staff had to shift to "manual and paper based" processes. "Our care teams are trained for these kinds of disruptions and have initiated procedures to ensure patient care delivery continues to be safe and as minimally impacted as possible," an Ascension spokesperson said in a May 8 statement. Kris Fuentes, who works in the neonatal intensive care unit at Ascension Seton Medical Center in Austin, said she remembers when paper charting was the norm. But after so many years of relying on digital systems, she said her hospital wasn't ready to make such an abrupt shift. "It's kind of like we went back 20 years, but not even with the tools we had then," Fuentes said. "Our workflow has just been really unorganized, chaotic and at times, scary."

Fuentes said orders for medication, labs and imaging are being handwritten and then distributed by hand to various departments, whereas typically these requests are quickly accessed via computer. A lack of safety checks with these backup methods has introduced errors, she said, and every task is taking longer to complete. "Medications are taking longer to get to patients, lab results are taking longer to get back," she said. "Doctors need the lab results, often, to decide the next treatment plan, but if there's a delay in access to the labs, there's a delay in access to the care that they order." As of Tuesday, Ascension still had no timeline for when the issues might be resolved, and reported that it continued to work with "industry-leading cybersecurity experts" to investigate the ransomware attack and restore affected systems. The FBI and Cybersecurity and Infrastructure Security Agency are also involved in the investigation. "While Ascension facilities remain open, a health system representative said on May 9 that in some cases, emergency patients were being triaged to different hospitals, and some non-emergent appointments and procedures were postponed," reports NPR. "Certain Ascension pharmacies are not operational, and patients are being asked to bring in prescription bottles or numbers."

"Individuals who are enrolled in Ascension health insurance plans are being directed to mail in monthly payments while the electronic payment system is down."

A server maintained by Cogent Communications, one of the 13 root servers crucial to the Internet's domain name system, fell out of sync with its peers for over four days due to an unexplained glitch. This issue, which could have caused worldwide stability and security problems, was resolved on Wednesday.

The root servers store cryptographic keys necessary for authenticating intermediate servers under the DNSSEC mechanism. Inconsistencies in these keys across the 13 servers could lead to an increased risk of attacks such as DNS cache poisoning. Engineers postponed planned updates to the .gov and .int domain name servers' DNSSEC to use ECDSA cryptographic keys until the situation stabilized. Cogent stated that it became aware of the issue on Tuesday and resolved it within 25 hours. ArsTechnica, which has a great writeup about the incident, adds: Initially, some people speculated that the depeering of Tata Communications, the c-root site outage, and the update errors to the c-root itself were all connected somehow. Given the vagueness of the statement, the relation of those events still isn't entirely clear.

It seems no industry is safe from consolidation, and the latest target is gaming media. From a report: IGN Entertainment has acquired the website portfolio of UK publisher Gamer Network, which operates a number of beloved games-focused publications. That list includes Gamesindustry.biz, Eurogamer, Rock Paper Shotgun, VG247, and the tabletop site Dicebreaker. The network also holds shares in sites like Nintendo Life and Digital Foundry.

Terms of the deal were not disclosed. Gamesindustry.biz reports that "some redundancies" have been made across the sites, though it's not clear how many workers have been impacted. According to several posts on X, editors at both Rock Paper Shotgun and Gamesindustry.biz have been laid off. IGN Entertainment is owned by Ziff Davis, which, in addition to IGN's site, also operates other subsidiaries like Humble Bundle.

The FDA has approved Neuralink to implant its brain chip in a second patient. According to the Wall Street Journal, the company also outlined fixes to an electrode problem that caused its chip to detach from the first patient's brain. They were unharmed and could still control a computer mouse using their thoughts. Axios reports: Neuralink, which is owned by Elon Musk, said it is seeking applications for another patient with quadriplegia to test if the device can allow a person to do tasks like control a phone and computer. It outlined fixes that included embedding some of the device's wiring deeper into the brain, the Wall Street Journal reported, citing a document and a person familiar with the company.

Neuralink rival Synchron is preparing a large-scale clinical trial with an eye toward seeking commercial approval of its implant. Mass General Brigham has also launched a collaborative effort with stakeholders and the FDA to accelerate the development of the implanted devices.

"Last week, we reported on a customer who was charged $277 for gasoline his rented Tesla couldn't have possibly used," writes the automotive blog The Drive.

"And now, we've heard from other Hertz customers who say they've been charged even more." Hertz caught attention last week for how it handled a customer whom it had charged a "Skip the Pump" fee, which allows renters to pay a premium for Hertz to refill the tank for them. But of course, this customer's rented Tesla Model 3 didn't use gas — it draws power from a battery — and Hertz has a separate, flat fee for EV recharges. Nevertheless, the customer was charged $277.39 despite returning the car with the exact same charge they left with, and Hertz refused to refund it until after our story ran. It's no isolated incident either, as other customers have written in to inform us that it happened to them, too....

Evan Froehlich returned the rental at 21 percent charge, expecting to pay a flat $25 recharge fee. (It's ordinarily $35, but Hertz's loyalty program discounts it.) To Froehlich's surprise, he was hit with a $340.97 "Skip the Pump" fee, which can be applied after returning a car if it's not requested beforehand. He says Hertz's customer service was difficult to reach, and that it took making a ruckus on social media to get Hertz's attention. In the end, a Hertz representative was able to review the charge and have it reversed....

A March 2023 Facebook post documenting a similar case indicates this has been happening for more than a year.
After renting a Tesla Model 3, another customer even got a $475.19 "fuel charge," according to the article — in addition to a $25 charging fee: They also faced a $125.01 "rebill" for using the Supercharger network during their rental, which other Hertz customers have expressed surprise and frustration with. Charging costs can vary, but a 75-percent charge from a Supercharger will often cost in the region of just $15.

America's Defense Department "is rushing to expand its capacity to wage war in space," reports the New York Times, "convinced that rapid advances by China and Russia in space-based operations pose a growing threat to U.S. troops and other military assets on the ground and U.S. satellites in orbit." [T]he Defense Department is looking to acquire a new generation of ground- and space-based tools that will allow it to defend its satellite network from attack and, if necessary, to disrupt or disable enemy spacecraft in orbit, Pentagon officials have said in a series of interviews, speeches and recent statements... [T]he move to enhance warfighting capacity in space is driven mostly by China's expanding fleet of military tools in space... [U.S. officials are] moving ahead with an effort they are calling "responsible counterspace campaigning," an intentionally ambiguous term that avoids directly confirming that the United States intends to put its own weapons in space. But it also is meant to reflect this commitment by the United States to pursue its interest in space without creating massive debris fields that would result if an explosive device or missile were used to blow up an enemy satellite. That is what happened in 2007, when China used a missile to blow up a satellite in orbit. The United States, China, India and Russia all have tested such missiles. But the United States vowed in 2022 not to do any such antisatellite tests again.

The United States has also long had ground-based systems that allow it to jam radio signals, disrupting the ability of an enemy to communicate with its satellites, and is taking steps to modernize these systems. But under its new approach, the Pentagon is moving to take on an even more ambitious task: broadly suppress enemy threats in orbit in a fashion similar to what the Navy does in the oceans and the Air Force in the skies.
The article notes a recent report drafted by a former Space Force colonel cited three ways to disable enemy satellite networks: cyberattacks, ground or space-based lasers, and high-powered microwaves. "John Shaw, a recently retired Space Force lieutenant general who helped run the Space Command, agreed that directed-energy devices based on the ground or in space would probably be a part of any future system. 'It does minimize debris; it works at the speed of light,' he said. 'Those are probably going to be the tools of choice to achieve our objective." The Pentagon is separately working to launch a new generation of military satellites that can maneuver, be refueled while in space or have robotic arms that could reach out and grab — and potentially disrupt — an enemy satellite. Another early focus is on protecting missile defense satellites. The Defense Department recently started to require that a new generation of these space-based monitoring systems have built-in tools to evade or respond to possible attack. "Resiliency feature to protect against directed energy attack mechanisms" is how one recent missile defense contract described it. Last month the Pentagon also awarded contracts to two companies — Rocket Lab and True Anomaly — to launch two spacecraft by late next year, one acting as a mock enemy and the other equipped with cameras, to pull up close and observe the threat. The intercept satellite will not have any weapons, but it has a cargo hold that could carry them.
The article notes that Space Force's chief of space operations has told Senate appropriators that about $2.4 billion of the $29.4 billion in Space Force's proposed 2025 budget was set aside for "space domain awareness." And it adds that the Pentagon "is working to coordinate its so-called counterspace efforts with major allies, including Britain, Canada and Australia, through a multinational operation called Operation Olympic Defender. France has been particularly aggressive, announcing its intent to build and launch by 2030 a satellite equipped with a high-powered laser." [W]hat is clear is that a certain threshold has now been passed: Space has effectively become part of the military fighting domain, current and former Pentagon officials said. "By no means do we want to see war extend into space," Lt. Gen. DeAnna Burt, deputy chief of space operations, said at a Mitchell Institute event this year. "But if it does, we have to be prepared to fight and win."

Security professional Bruce Schneier argues that large language models have the same vulnerability as phones in the 1970s exploited by John Draper.

"Data and control used the same channel," Schneier writes in Communications of the ACM. "That is, the commands that told the phone switch what to do were sent along the same path as voices." Other forms of prompt injection involve the LLM receiving malicious instructions in its training data. Another example hides secret commands in Web pages. Any LLM application that processes emails or Web pages is vulnerable. Attackers can embed malicious commands in images and videos, so any system that processes those is vulnerable. Any LLM application that interacts with untrusted users — think of a chatbot embedded in a website — will be vulnerable to attack. It's hard to think of an LLM application that isn't vulnerable in some way.

Individual attacks are easy to prevent once discovered and publicized, but there are an infinite number of them and no way to block them as a class. The real problem here is the same one that plagued the pre-SS7 phone network: the commingling of data and commands. As long as the data — whether it be training data, text prompts, or other input into the LLM — is mixed up with the commands that tell the LLM what to do, the system will be vulnerable. But unlike the phone system, we can't separate an LLM's data from its commands. One of the enormously powerful features of an LLM is that the data affects the code. We want the system to modify its operation when it gets new training data. We want it to change the way it works based on the commands we give it. The fact that LLMs self-modify based on their input data is a feature, not a bug. And it's the very thing that enables prompt injection.

Like the old phone system, defenses are likely to be piecemeal. We're getting better at creating LLMs that are resistant to these attacks. We're building systems that clean up inputs, both by recognizing known prompt-injection attacks and training other LLMs to try to recognize what those attacks look like. (Although now you have to secure that other LLM from prompt-injection attacks.) In some cases, we can use access-control mechanisms and other Internet security systems to limit who can access the LLM and what the LLM can do. This will limit how much we can trust them. Can you ever trust an LLM email assistant if it can be tricked into doing something it shouldn't do? Can you ever trust a generative-AI traffic-detection video system if someone can hold up a carefully worded sign and convince it to not notice a particular license plate — and then forget that it ever saw the sign...?

Someday, some AI researcher will figure out how to separate the data and control paths. Until then, though, we're going to have to think carefully about using LLMs in potentially adversarial situations...like, say, on the Internet.
Schneier urges engineers to balance the risks of generative AI with the powers it brings. "Using them for everything is easier than taking the time to figure out what sort of specialized AI is optimized for the task.

"But generative AI comes with a lot of security baggage — in the form of prompt-injection attacks and other security risks. We need to take a more nuanced view of AI systems, their uses, their own particular risks, and their costs vs. benefits."

Karl Bode writes via Techdirt: Tired of being underserved and overbilled by shitty regional broadband monopolies, back in 2002 a coalition of local Utah governments formed UTOPIA -- (the Utah Telecommunication Open Infrastructure Agency). The inter-local agency collaborative venture then set about building an "open access" fiber network that allows any ISP to then come and compete on the shared network. Two decades later and the coalition just announced that 18 different ISPs now compete for Utah resident attention over a network that now covers 21 different Utah cities. In many instances, ISPs on the network are offering symmetrical (uncapped) gigabit fiber for as little as $45 a month (plus $30 network connection fee, so $75). Some ISPs are even offering symmetrical 10 Gbps fiber for around $150 a month: "Sumo Fiber, a veteran member of the UTOPIA Open Access Marketplace, is now offering 10 Gbps symmetrical for $119, plus a $30 UTOPIA Fiber infrastructure fee, bringing the total cost to $149 per month."

It's a collaborative hybrid that blurs the line between private companies and government, and it works. And the prices being offered here are significantly less than locals often pay in highly developed tech-centric urban hubs like New York, San Francisco, or Seattle. Yet giant local ISPs like Comcast and Qwest spent decades trying to either sue this network into oblivion, or using their proxy policy orgs (like the "Utah Taxpayer Association") to falsely claim this effort would end in chaos and inevitable taxpayer tears. Yet miraculously UTOPIA is profitable, and for the last 15 years, every UTOPIA project has been paid for completely through subscriber revenues. [...] For years, real world experience and several different studies and reports (including our Copia study on this concept) have made it clear that open access networks and policies result in faster, better, more affordable broadband access. UTOPIA is proving it at scale, but numerous other municipalities have been following suit with the help of COVID relief and infrastructure bill funding.

Volkswagen has walked away from talks with Renault to jointly develop an affordable electric version of the Twingo car, Reuters reported Friday, citing sources familiar with the situation, in a setback for the EU carmakers' efforts to fend off Chinese rivals. From the report: The collapse of negotiations could mean the German carmaker may have to go it alone in developing its own affordable electric vehicle (EV). Renault will continue designing its electric Twingo, scheduled to hit the market in 2026. Both had hoped that sharing the work would cut costs that represent a key hurdle for European carmakers in the face of cheaper cars from China.

Volkswagen broke off discussions mainly because Renault had wanted to build the car in one of its plants at a time when VW is seeking to fully utilise its European production network, one of the sources said.

After shutting down its awards system last July, Reddit announced that it is bringing it back, with much of the same and some new features. There'll be "a new design for awards, a new award button under eligible posts and a leaderboard showing top awards earned for a comment or a post," reports TechCrunch. From the report: The company sunset its awards program last year along with the ability for users to purchase coins. At the same time, Reddit introduced "Golden Upvotes," which were purchased directly through cash. In a new post, the company said the system wasn't as expressive as awards. "While the golden upvote was certainly simpler in theory, in practice, it missed the mark. It wasn't as fun or expressive as legacy awards, and it was unclear how it benefited the recipient," the social network said.

Users who want to give awards to posts and comments will need to buy "gold," which kind of replaces coins. On a support page, the company mentioned that, on average, awards cost anywhere between 15 to 50 gold. Gold packages in Reddit's mobile apps currently start at $1.99 for 100 gold. Users can buy as much as 2,750 gold for $49.99. The company is also adding some safeguards to the awards system, such as disabling awards in NSFW subreddits, trauma and addiction support subreddits, and subreddits with mature content. Additionally, users will be able to report awards to avoid them being used for moderator removals.

Michael Kan reports via PCMag: AT&T has struck a deal to bring satellite internet connectivity to phones through AST SpaceMobile, a potential rival to SpaceX's Starlink. AT&T says the commercial agreement will last until 2030. The goal is "to provide a space-based broadband network to everyday cell phones," a spokesperson tells PCMag, meaning customers can receive a cellular signal in remote areas where traditional cell towers are few and far between. All they'll need to do is ensure their phone has a clear view of the sky.

AT&T has been working with Texas-based AST SpaceMobile since 2018 on the technology, which involves using satellites in space as orbiting cell towers. In January, AT&T was one of several companies (including Google) to invest $110 million in AST. In addition, the carrier created a commercial starring actor Ben Stiller to showcase AST's technology. In today's announcement, AT&T notes that "previously, the companies were working together under a Memorandum of Understanding," which is usually nonbinding. Hence, the new commercial deal suggests AT&T is confident AST can deliver fast and reliable satellite internet service to consumer smartphones -- even though it hasn't launched a production satellite.

AST has only launched one prototype satellite; in tests last year, it delivered download rates at 14Mbps and powered a 5G voice call. Following a supply chain-related delay, the company is now preparing to launch its first batch of "BlueBird" production satellites later this year, possibly in Q3. In Wednesday's announcement, AT&T adds: "This summer, AST SpaceMobile plans to deliver its first commercial satellites to Cape Canaveral for launch into low Earth orbit. These initial five satellites will help enable commercial service that was previously demonstrated with several key milestones." Still, AST needs to launch 45 to 60 BlueBird satellites before it can offer continuous coverage in the U.S., although in an earnings call, the company said it'll still be able to offer "non-continuous coverage" across 5,600 cells in the country.

An anonymous reader quotes a report from New Scientist: Efforts to build a global quantum internet have received a boost from two developments in quantum information storage that could one day make it possible to communicate securely across hundreds or thousands of kilometers. The internet as it exists today involves sending strings of digital bits, or 0s and 1s, in the form of electrical or optical signals, to transmit information. A quantum internet, which could be used to send unhackable communications or link up quantum computers, would use quantum bits instead. These rely on a quantum property called entanglement, a phenomenon in which particles can be linked and measuring one particle instantly influences the state of another, no matter how far apart they are. Sending these entangled quantum bits, or qubits, over very long distances, requires a quantum repeater, a piece of hardware that can store the entangled state in memory and reproduce it to transmit it further down the line. These would have to be placed at various points on a long-distance network to ensure a signal gets from A to B without being degraded.

Quantum repeaters don't yet exist, but two groups of researchers have now demonstrated long-lasting entanglement memory in quantum networks over tens of kilometers, which are the key characteristics needed for such a device. Can Knaut at Harvard University and his colleagues set up a quantum network consisting of two nodes separated by a loop of optical fibre that spans 35 kilometers across the city of Boston. Each node contains both a communication qubit, used to transmit information, and a memory qubit, which can store the quantum state for up to a second. "Our experiment really put us in a position where we're really close to working on a quantum repeater demonstration," says Knaut. To set up the link, Knaut and his team entangled their first node, which contains a type of diamond with an atom-sized hole in it, with a photon that they sent to their second node, which contains a similar diamond. When the photon arrives at the second diamond, it becomes entangled with both nodes. The diamonds are able to store this state for a second. A fully functioning quantum repeater using similar technology could be demonstrated in the next couple of years, says Knaut, which would enable quantum networks connecting cities or countries.

In separate work, Xiao-Hui Bao at the University of Science and Technology of China and his colleagues entangled three nodes together, each separated by around 10 kilometers in the city of Hefei. Bao and his team's nodes use supercooled clouds of hundreds of millions of rubidium atoms to generate entangled photons, which they then sent across the three nodes. The central of the three nodes is able to coordinate these photons to link the atom clouds, which act as a form of memory. The key advance for Bao and his team's network is to match the frequency of the photons meeting at the central node, which will be crucial for quantum repeaters connecting different nodes. While the storage time was less than Knaut's team, at 100 microseconds, it is still long enough to perform useful operations on the transmitted information.