Nvidia CEO Jensen Huang threw out a lot of numbers — mostly of the technical variety — during his keynote Monday to kick off the company’s annual GTC Conference in San Jose, California. But there was one financial figure that investors surely took notice of: his projection that there will be $1 trillion worth of orders for Nvidia’s Blackwell and Vera Rubin chips, a monetary reflection of a booming AI business.

About an hour into his keynote, Huang noted that last year Nvidia saw about $500 billion in demand for its Blackwell and upcoming Rubin chips through 2026. “Now, I don’t know if you guys feel the same way, but $500 billion is an enormous amount of revenue,” he said. “Well, I’m here to tell you that right now where I stand — a few short months after GTC DC, one year after last GTC — right here where I stand, I see through 2027, at least $1 trillion.”

While it’s often very easy to reprogram your spacebar to do a different action via your keyboard’s software, it’s a lot harder to reprogram your brain to hit any other key when you try to jump in game. Spacebar makes you jump. Everyone knows that; it’s practically etched onto your brain if you’re a long-time mouse and keyboard player. So, why does a split spacebar help with that? It comes down to this: once you know which side of a spacebar you tend to thwack with your thumb, you can program the other side to do whatever you want. I hit the right-side of my spacebar every time when I’m typing. Therefore, when I started using a Wooting 60HE v2 with a split spacebar, I set the left-side to be the delete key; the keyboard lacking a dedicated delete key for its 60% size.

Though for gaming, the split spacebar offers much more varied purpose. People do strange things with the WASD keys that I won’t litigate here, but I’m pretty sure most gamers use their left thumb to strike the spacebar for gaming. Right? Right. If you fall into this category, you have the option of using the right-side spacebar for things like a chunky melee key, or, my personal favorite, an in-game voice chat key.

The SEC will vote on the proposal once it is published, after a public comment period which typically lasts at least 30 days, the report said. The WSJ report added that the rule is expected to make quarterly reporting optional and not eliminate it altogether. The proposed change in the reporting standard would allow listed companies to publish results every six months instead of the current mandate to report figures every 90 days.

Trump, who first floated the idea in his first term as president, has argued the change in requirements would discourage shortsightedness from public companies while cutting costs. Skeptics, however, caution delaying disclosures could reduce transparency and heighten market volatility.

Japan’s Hayabusa 2 spacecraft visited Ryugu in 2018, where it shot two projectiles — one small and one large — into the surface of the asteroid and collected the resulting debris. It arrived back at Earth with the samples in 2020 and researchers have been analyzing these in detail ever since. Yasuhiro Oba at Hokkaido University in Japan and his colleagues examined two samples, one from the asteroid’s surface and one comprised of subsurface materials excavated by the projectiles. In both, the team found all five primary nucleobases, which are the compounds that make up the nucleic acids DNA and RNA when combined with sugars and phosphoric acid.

This isn’t the first time that nucleobases have been found in asteroid samples: they have been seen in meteorites, too, and in samples from the asteroid Bennu. The researchers did find different abundances of the various nucleobases among the various samples, though, which hints that these compounds might be useful for tracing asteroids and meteorites back to the parent bodies that they broke off from in the distant past, as well as understanding the evolution of those parent bodies over time.

Republican lawmakers in multiple states and Congress are advancing proposals to shield polluters from climate accountability and prevent any type of liability for climate change harms — even as these harms and their associated costs continue to mount. It’s the latest in a counter-offensive that has unfolded on multiple fronts, from the halls of Congress and the White House to courts and state attorneys general offices across the country.

Dozens of local communities, states and individuals are suing major oil and gas companies and their trade associations over rising climate costs and for allegedly lying to consumers about climate change risks and solutions. At the same time, some states are enacting or considering laws modeled after the federal Superfund program that would impose retroactive liability on large fossil fuel producers and levy a one-time charge on them to help fund climate adaptation and resiliency measures. But many of these cases and climate superfund laws could be stopped in their tracks, either by the conservative majority on the U.S. Supreme Court or by the Republican-controlled Congress.

Last month the court decided to take up a petition lodged by oil companies Suncor and ExxonMobil in a climate-damages case brought against the companies by Boulder, Colorado. The petition argues that Boulder’s claims are barred by federal law, and if the justices agree, it could knock out not only Boulder’s lawsuit but also many others like it. The court is expected to hear the case during its upcoming term that starts in October. There is also a possibility that Republicans in Congress will take action before then to gift the fossil fuel industry legal immunity, similar to that granted to gun manufacturers with the 2005 Protection of Lawful Commerce in Arms Act. Sixteen Republican attorneys general wrote (PDF) to U.S. Attorney General Pam Bondi in June suggesting that the Department of Justice could recommend legislation creating precisely this type of liability shield. And last month, one Republican congresswoman announced that such legislation is indeed in the works.

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.