The massive power project, expected to provide energy to a million New York City customers a year, travels underground and underwater, from the northern plains at the Canadian border to the filled-in marshlands of coastal Queens, much of it loosely following the Hudson River. Its construction included the underwater installation of more than two million feet of cable imported from Sweden. It also required special boats, loaded with equipment that could shoot water jets deep into the sediment, to create trenches for the cable. Then, when it came to placing cable beneath the landscape, more than 700 land-use easements were needed, plus an additional 1.55 million feet of cable.

The Champlain Hudson Power Express has found a way to plug into the city, but it wasn’t easy. The work included 10 new manholes and more than three miles of new underground circuitry, according to Con Edison, the city’s primary electricity provider. “It was literally a hand weave under the streets of Queens,” said Jennifer Laird-White, the head of external affairs for Transmission Developers. The hydropower travels from Canada via two buried cables that are as round as cantaloupes. Those lines snake for hundreds of miles under a lake, several rivers (including the Hudson for about 90 miles) and through buried trenches alongside train tracks and roads. The cables resurface in Astoria, Queens, where a converter station shapes, filters and refines the raw power into a product that New Yorkers can consume.

In two cavernous rooms that could be mistaken for “Star Wars” sets, the electricity flows through 30 hanging structures encased in what look like metallic, dinosaurlike exoskeletons. Each one weighs about as much as a small humpback whale and contains microprocessors, thousands of valves and fiber wires. “I am still wowed when I walk into that facility,” said Mr. Harrison, the engineer. “I mean, it is just mind-boggling.”

Since Andrej Karpathy coined the term “vibe coding” just over a year ago, we’ve seen a rapid increase in both the capabilities and popularity of using AI models to throw together quick programming projects with less human time and effort than ever before. One such vibe-coded project, Gaming Alexandria Researcher, launched over the weekend as what coder Dustin Hubbard called an effort to help organize the hundreds of scanned Japanese gaming magazines he’s helped maintain at clearinghouse Gaming Alexandria over the years, alongside machine translations of their OCR text.

A day after that project went public, though, Hubbard was issuing an apology to many members of the Gaming Alexandria community who loudly objected to the use of Patreon funds for an error-prone AI-powered translation effort. The hubbub highlights just how controversial AI tools remain for many online communities, even as many see them as ways to maximize limited funds and man-hours. “I sincerely apologize,” Hubbard wrote in his apology post. “My entire preservation philosophy has been to get people access to things we’ve never had access to before. I felt this project was a good step towards that, but I should have taken more into consideration the issues with AI.”

This week, Niantic Spatial, part of the team behind Pokemon Go, announced a partnership with Coco Robotics, a company that makes short-distance delivery robots for food and groceries. Soon, those robot couriers will scoot around sidewalks using Niantic’s Visual Positioning System (VPS)— a navigation tool that can reportedly pinpoint location down to a few centimeters just by looking at nearby buildings and landmarks. Niantic trained that VPS model on more than 30 billion images captured by Pokemon Go users, and claims it will help robots operate in areas where GPS falls short. […]

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

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

NemoClaw installs Nvidia’s OpenShell, a new open-source runtime that keeps agents safer to use by enforcing an organization’s policy-based guardrails. OpenShell keeps models sandboxed, adds data privacy protections and additional security for agents, and makes them more scalable. “This provides the missing infrastructure layer beneath claws to give them the access they need to be productive, while enforcing policy-based security, network, and privacy guardrails,” Nvidia said in the announcement. The company built OpenShell with security companies like CrowdStrike, Cisco, and Microsoft Security to ensure it is compatible with other cybersecurity tools.

Nvidia said NemoClaw can be installed in a single command, runs on any platform, and can use any coding agent, including Nvidia’s own Nemotron open model family, on a local system. Through a privacy router, it allows agents to access frontier models in the cloud, which unites local and cloud models to help teach agents how to complete tasks within privacy guardrails, Nvidia explained. Nvidia seems to be hoping that the additional security can make OpenClaw agents more popular and accessible, with less risk than they currently carry. The bigger picture here is how NemoClaw could give companies the added peace of mind to let AI agents complete actions for their employees, where they wouldn’t have previously.

On Tuesday, March 10, a massive explosion shook the city of Beit Shemesh, just outside Jerusalem, in yet another Iranian ballistic missile attack during the ongoing war. Rescue services scrambled to the scene in search of possible casualties, though as it turned out, the projectile had struck a forested area just outside the city, around 500 meters from homes. On The Times of Israel’s liveblog that day, I reported that the missile had hit an open area and no injuries were caused, citing the rescue services, as well as footage that emerged showing the massive explosion caused by the missile’s warhead. But what I thought was a seemingly minor incident during the war has turned into days of harassment and death threats against me.

More specifically, Britannica alleged that OpenAI illegally used its “copyrighted content at a massive scale” when training its AI models. Not just with training, the encyclopedia company claimed that ChatGPT’s responses to user queries sometimes contain “full or partial verbatim reproductions of [Britannica’s] copyright articles.”

Along with claims of copyright violations, Britannica argued that OpenAI was also responsible for trademark infringement. According to the lawsuit, ChatGPT generates “made-up content or ‘hallucinations’ and falsely attributes them” to Encyclopedia Britannica. The lawsuit doesn’t specify an amount for monetary damages, but Britannica is also seeking an injunction to prevent OpenAI from repeating these accusations.

As noted by Apple, the AirPods Max 2 offer active noise-cancellation that’s 1.5 times more effective when compared to its predecessor. Transparency mode, which allows you to hear your surroundings while wearing the headphones, also sounds “more natural” with the AirPods Max 2, according to Apple.

The AirPods Max 2 support 24-bit, 48kHz lossless audio when connected with a USB-C cable, as well as offer up to 20 hours of listening time on a single charge. Other capabilities include loud sound reduction, a camera remote feature that works by pressing the digital crown to take a photo or start a recording, as well as a personalized volume feature that “automatically fine-tunes the listening experience” based on your preferences over time.

Under the agreement, Meta will also buy an additional $15 billion worth of capacity planned by Nebius over the coming five years if it is not sold to other customers, giving the contract a total value of up to $27 billion, Nebius said. The deal is the latest example of U.S. tech giants’ efforts to supplement their own AI data-centre build-outs by locking in scarce GPU and power capacity from “neocloud” providers like Nebius. Nebius CEO Arkady Volozh said the latest Meta deal would help “accelerate the build-out and growth of our core AI cloud business.”

Spending on data center projects in the U.S. has exploded, surpassing offices for the first time at the end of last year. It’s a trend Matt Kunz saw early on when Meta built a computing hub outside Columbus, Ohio. Other tech companies soon swarmed into the area, drawn by its stable economy, university talent pipeline and ample power, water and land, said Kunz, vice president and general manager at Turner Construction Co., the firm that led Meta’s build-out. Since Meta broke ground in 2017, it’s expanded its data center campus, and Amazon.com Inc., Alphabet Inc.‘s Google and Microsoft Corp. made plans to join it nearby.

“When one shows up, almost all the other ones tend to follow,” Kunz said. For Turner, a construction giant responsible for supertall office skyscrapers, sports stadiums and cultural venues around the globe, data centers are commanding more of its bandwidth. The company completed $9.4 billion of the projects last year, more than five times its 2020 total. Last month, Turner announced it was chosen as one of the contractors on a $10 billion data center for Meta in Indiana. Tech companies’ needs for AI processing facilities have made data centers the latest darling of the real estate industry. The properties are figuring heavily into portfolios of major investors such as Blackstone, Brookfield Asset Management and KKR, on a bet that long-term demand for computing power will continue to grow. At the same time, office development has slowed as cities across the U.S. contend with vacancies that have piled up since the Covid lockdowns.

Construction spending for data centers has climbed steadily in recent years, while outlays for general office projects headed downward, U.S. Census data show. The two crossed paths in December, with roughly $3.57 billion spent on data centers that month, compared with $3.49 billion for offices, according to preliminary estimates. The shift is likely to continue and “may perpetuate itself even further as AI is utilized for automating day-to-day jobs,” said Andy Cvengros, co-lead of U.S. data center markets for the brokerage Jones Lang LaSalle Inc. “It’s going to directly impact the amount of office space people need.”

The case was filed by Samsung, which claimed that TCL was running deceptive advertising, and more court cases on the same topic are coming in other countries, including the US. The lawsuits all make the same claim: that what TCL calls a QLED isn’t a QLED as it’s commonly understood, and that consumers are being mis-sold TVs as a result. The court found that TCL’s quantum dot TVs, such as the QLED870 series available in Germany, didn’t deliver the characteristics of a quantum dot LED, and that consumers were being misled as a result.

The tests were commissioned by Seoul chemicals company Hansol Chemical (which, it’s worth noting, works with Samsung, a key TCL rival, and which heavily promoted the results of these tests alongside launching the court case) and carried out by Geneva’s SGS and the UK’s Intertek. According to ET News (via Google Translate), “no indium (In) or cadmium (Cd) was detected in three TCL QD TV models. Indium and cadmium are essential materials that cannot be omitted for QD implementation… if neither is present, QD technology cannot be said to have been applied.” You can see the test results here.

TCL disputed the findings — “The QD content may vary depending on the supplier, but it definitely contains cadmium,” it responded — and published its own tests, including a test by SGS, the same firm that conducted tests for Hansol. The results contradicted Hansol Chemical’s tests, but those tests used a different methodology: where TCL’s tests focused on TCL’s quantum dot films, Hansol’s commissioned tests were on finished TCL TVs. […] Hansol Chemical has filed a complaint against TCL with the US Federal Trade Commission, alleging false advertising, and TCL is also facing class action lawsuits in several US states making the same claim. TCL isn’t alone here: Hisense has also been targeted in the US.

“Firefly, Joss Whedon’s ‘anti-Trek drama’ premieres tonight, on Fox, 8 E/P. I normally despise hypespeak, but this time it’s the only language that fits: this is groundbreaking, mind-boggling, totally original. I’ve seen a bootleg of the pilot (which, unfortunately, the network is holding back) and I promise you this is the most geek-friendly SF you’ve seen in a long time. Yes, more so than Star Trek and B5, and way past Star Wars. I’ve never seen the future so skillfully, realistically, and lovingly portrayed. Here is the Official Site and a leading fan site.”

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

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

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

“You can’t separate this really from their ongoing interactions with Epic and the settlement that they came to,” they argue. Twelve days ago Epic Games and Google announced a new proposal for settling their long-running dispute over the legality of alternative app stores on Android phones. (Rather than agreeing to let third-party app stores into their Play Store, Google wants them to continue being sideloaded, promising in a blog post last week that they’ll even offer a “more streamlined” and “simplified” sideloading alternative for rival app stores. “This Registered App Store program will begin outside of the US first, and we intend to bring it to the US as well, subject to court approval.”)

So “developer verification” could be Google’s fallback plan if U.S. courts fail to approve this. “If the Google Play Store has to allow any third-party repository app store, Google essentially has given up all control of the apps. But if they’re able to claw back that control by requiring that all developers, no matter how they distribute their apps, have to register with Google — have to agree to their Terms & Conditions, pay them money, provide identification — then they have a large degree of indirect control over any app that can be developed for the entire platform.”

There’s now a “huge backlog” of signers for an Open Letter that already includes EFF, the Software Freedom Conservancy, and the Free Software Foundation. He believes Android’s existing Play Protect security “is completely sufficient to handle the particular scenarios they claim that developer verification is meant to address”…

The Keep Android Open site urges developers not to sign up for Android’s early access program when it launches next week. (Instead, they’re asking developers to respond to invites with an email about their concerns — and to spread the word to other developers and organizations in forums and social media posts.) There’s also a petition at Change.org currently signed by 64,000 developers — adding 20,000 new signatures in the last 10 days. And “If you have an Android device, try installing F-Droid!” he adds. Google tracks how many people install these alternative app repositories, and a larger user base means greater consequences from any Android policy changes.

Plus, installing F-Droid “might be refreshing!” Prud’hommeaux says. “You don’t see all the advertisements and promotions and scam and crapware stuff that you see in the commercial app stores!”

It was published by O’Reilly and by the FSF under the GNU Free Documentation License (GNU FDL). This is a free license allowing use of the work for any purpose without payment.

Obviously, the right thing to do is protect computing freedom: share complete training inputs with every user of the LLM, together with the complete model, training configuration settings, and the accompanying software source code. Therefore, we urge Anthropic and other LLM developers that train models using huge datasets downloaded from the Internet to provide these LLMs to their users in freedom.

We are a small organization with limited resources and we have to pick our battles, but if the FSF were to participate in a lawsuit such as Bartz v. Anthropic and find our copyright and license violated, we would certainly request user freedom as compensation.

Despite the potentially transformative impact of fusion, which in theory could provide limitless clean energy and create a £12 trillion global market, no country has managed to use this fledgling technology to generate useable electricity… [T]he UK is backing a spherical tokamak design… investing an initial £1.3 billion into a prototype fusion power plant called Step (Spherical Tokamak for Energy Production) on the site of a decommissioned coal-fired power station at West Burton in Nottinghamshire. Paul Methven, chief executive of the government-owned UK Industrial Fusion Solutions, which is delivering the Step project, said the aim is to get the reactor operating early in the 2040s. “It’s quite an aggressive programme,” he said. “We need to show that we can achieve genuine ‘wall socket’ energy — which has not been done before.”

On Monday, [science minister] Vallance will also announce £180 million for a facility in Culham, Oxfordshire, to manufacture tritium fuel and £50 million for training 2,000 scientists and engineers in fusion-related disciplines. The government is also buying a £45 million fusion-dedicated AI supercomputer called Sunrise to model plasma physics. Scientists at the UK Atomic Energy Authority last year developed an AI model that can rapidly simulate how the ultra-hot fuel in a fusion power plant will behave, cutting calculations that previously took days down to seconds…

Vallance will also announce new support and collaboration for the many fusion, robotics, engineering and AI start-ups working in Britain, to develop a strong supply chain for a new fusion sector. One of those companies, Tokamak Energy, which spun out from the UK Atomic Energy Authority in 2009, has already built a smaller reactor that has informed the Step design. In March 2022, it became the first private organisation in the world to surpass 100 million degrees Celsius in its reactor.