sciencehabit shares a report from Science.org: In The Martian, fictional astronaut Mark Watney survives the wasteland of Mars by growing potatoes in lunar soil -- with a bit of help from human poop. The idea may not be so far-fetched. In a preprint posted this month on bioRxiv, researchers show potatoes can indeed grow in the equivalent of Moon dust, though they need a lot of help from compost found on Earth. To make the discovery, scientists first had to re-create lunar regolith -- the loose, powdery layer that blankets the Moon's surface. To replicate that in the lab, David Handy, a space biologist at Oregon State University (OSU), and his colleagues used a mix of crushed minerals and volcanic ash that matched the chemistry of the Moon. But lunar regolith is entirely devoid of the organic matter that plants need to grow. "Turning an inorganic, inhospitable bucket of glorified sand into something that can support plant growth is complex," says Anna-Lisa Paul, a plant molecular biologist at the University of Florida not involved with the work. So Handy and his colleagues added vermicompost -- organic waste from worms -- into the regolith. They found that a mix with 5% compost allowed the potatoes to grow while still emulating the stressful conditions of the lunar environment. After almost 2 months of growth, the team harvested the tubers, freeze-dried them, and ground them up for further testing. Analysis of the potatoes' DNA showed stress-related genes had been activated. The potatoes also had higher concentrations of copper and zinc than Earth-grown ones, which may make them dangerous for human consumption. The plants' nutritional value, though, was similar to traditional potatoes -- a surprise to the scientists, who expected lower levels of nutrition "because the plants might have been working overtime to overcome certain stressors," Handy says.

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Nvidia unveiled its Vera Rubin Space-1 system for powering AI workloads in orbital data centers. "Space computing, the final frontier, has arrived," said CEO Jensen Huang. "As we deploy satellite constellations and explore deeper into space, intelligence must live wherever data is generated." CNBC reports: In a press release, the company said that its Vera Rubin Space-1 Module, which includes the IGX Thor and Jetson Orin, will be used on space missions led by multiple companies. The chips are specifically "engineered for size-, weight- and power-constrained environments." Partners include Axiom Space, Starcloud and Planet. Huang said Nvidia is working with partners on a new computer for orbital data centers, but there are still engineering hurdles to overcome. "In space, there's no convection, there's just radiation," Huang said during his GTC keynote, "and so we have to figure out how to cool these systems out in space, but we've got lots of great engineers working on it."

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An anonymous reader quotes a report from 404 Media, written by Jason Koebler: Over the last few months, various academics and AI companies have attempted to predict how artificial intelligence is going to impact the labor market. These studies, including a high-profile paper published by Anthropic earlier this month, largely try to take the things AI is good at, or could be good at, and match them to existing job categories and job tasks. But the papers ignore some of the most impactful and most common uses of AI today: AI porn and AI slop. Anthropic's paper, called "Labor market impacts of AI: A new measure and early evidence," essentially attempts to find 1:1 correlations between tasks that people do today at their jobs and things people are using Claude for. The researchers also try to predict if a job's tasks "are theoretically possible with AI," which resulted in this chart, which has gone somewhat viral and was included in a newsletter by MSNOW's Phillip Bump and threaded about by tech journalist Christopher Mims. (Because everything is terrible, the research is now also feeding into a gambling website where you can see the apparent odds of having your job replaced by AI.) In his thread, Mims makes the case that the "theoretical capability" of AI to do different jobs in different sectors is totally made up, and that this chart basically means nothing. Mims makes a good and fair observation: The nature of the many, many studies that attempt to predict which people are going to lose their jobs to AI are all flawed because the inputs must be guessed, to some degree. But I believe most of these studies are flawed in a deeper way: They do not take into account how people are actually using AI, though Anthropic claims that that is exactly what it is doing. "We introduce a new measure of AI displacement risk, observed exposure, that combines theoretical LLM capability and real-world usage data, weighting automated (rather than augmentative) and work-related uses more heavily," the researchers write. This is based in part on the "Anthropic Economic Index," which was introduced in an extremely long paper published in January that tries to catalog all the high-minded uses of AI in specific work-related contexts. These uses include "Complete humanities and social science academic assignments across multiple disciplines," "Draft and revise professional workplace correspondence and business communications," and "Build, debug, and customize web applications and websites." Not included in any of Anthropic's research are extremely popular uses of AI such as "create AI porn" and "create AI slop and spam." These uses are destroying discoverability on the internet, cause cascading societal and economic harms. "Anthropic's research continues a time-honored tradition by AI companies who want to highlight the 'good' uses of AI that show up in their marketing materials while ignoring the world-destroying applications that people actually use it for," argues Koebler. "Meanwhile, as we have repeatedly shown, huge parts of social media websites and Google search results have been overtaken by AI slop. Chatbots themselves have killed traffic to lots of websites that were once able to rely on ad revenue to employ people, so on and so forth..." "This is all to say that these studies about the economic impacts of AI are ignoring a hugely important piece of context: AI is eating and breaking the internet and social media," writes Koebler, in closing. "We are moving from a many-to-many publishing environment that created untold millions of jobs and businesses towards a system where AI tools can easily overwhelm human-created websites, businesses, art, writing, videos, and human activity on the internet. What's happening may be too chaotic, messy, and unpleasant for AI companies to want to reckon with, but to ignore it entirely is malpractice."

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Arizona has filed criminal charges against Kalshi, accusing it of operating an illegal gambling business. "Kalshi may brand itself as a 'prediction market,' but what it's actually doing is running an illegal gambling operation and taking bets on Arizona elections, both of which violate Arizona law," Arizona Attorney General Kris Mayes said in a statement. The case could ultimately head to the Supreme Court to decide whether federal oversight by the Commodity Futures Trading Commission overrides state gambling laws. Bloomberg reports: While state regulators have taken steps to crack down on what they say is unlicensed betting on Kalshi's site, Arizona appears to be the first state to escalate to criminal charges. The charges cited in the complaint are misdemeanors, which carry less serious penalties than felonies. [...] Prediction market exchanges like Kalshi have said they should continue to be regulated by the US Commodity Futures Trading Commission despite opposition from some state officials, who argue the trading should come under state gambling laws. Arizona's criminal complaint follows Kalshi's move last week to block the state's gaming department from taking enforcement action against the company. "These are the first criminal charges of any kind filed against Kalshi in any court in the United States, but it will likely be the first of several," said Daniel Wallach, a sports and gaming attorney.

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Residents in rural Ohio are pushing a constitutional amendment to ban large data centers over 25 megawatts, citing concerns about energy use, water consumption, and lack of transparency around proposed projects. "My biggest concern is because I love Adams County," Nikki Gerber told Cleveland.com. "What it feels like they are doing is just taking advantage of the unzoned rural areas of Ohio, where they can go ahead and put in whatever they want." From the report: Gerber and a handful of residents from Adams and Brown counties gathered about 1,800 signatures in eight days to start the ballot process. They submitted those petitions to the Ohio attorney general's office on Monday. That's the first step before supporters can begin collecting signatures statewide. State law requires at least 1,000 valid voter signatures to begin the process. The petitions must also include the full text of the proposed amendment and a summary explaining what it would do. Attorney General Dave Yost's office now has 10 days to decide whether the summary fairly and truthfully describes the proposal. If it does, the measure will move to the Ohio Ballot Board. Supporters would then need to gather about 413,000 valid signatures by July to place the amendment before voters this November. The report notes that a 25-megawatt limit "would effectively block most modern data centers from being built in Ohio."

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The Champlain Hudson Power Express, a $6 billion, 339-mile buried transmission line, will soon deliver Canadian hydropower from Hydro-Quebec to New York City. The project could supply up to 20% of the city's electricity and power roughly one million homes throughout the year. "This is far and away the largest project I have ever worked on," said Bob Harrison, who has worked in infrastructure for 40 years and is the head of engineering for the Champlain Hudson Power Express. "We like to say it's the largest project you'll never see." The New York Times reports: 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."

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An anonymous reader quotes a report from Ars Technica: 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." "I'm very, very disappointed to see [Gaming Alexandria], one of the foremost organizations for preserving game history, promoting the use of AI translation and using Patreon funds to pay for AI licenses," game designer and Legend of Zelda historian Max Nichols wrote in a post on Bluesky over the weekend. "I have cancelled my Patreon membership and will no longer promote the organization." Nichols later deleted his original message (archived here), saying he was "uncomfortable with the scale of reposts and anger" it had generated in the community. However, he maintained his core criticism: that Gemini-generated translations inevitably introduce inaccuracies that make them unreliable for scholarly use. In a follow-up, he also objected to Patreon funds being used to pay for AI tools that produce what he called "untrustworthy" translations, arguing they distort history and are not valid sources for research. "... It's worthless and destructive: these translations are like looking at history through a clownhouse mirror," he added.

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More than 30 billion images captured by Pokemon Go players have helped train a visual mapping system developed by Niantic. The technology is now being used to guide delivery robots from Coco Robotics through city streets where GPS often struggles. Popular Science reports: 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.

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