An anonymous reader quotes a report from Ars Technica: On Monday, the State Bar of California revealed that it used AI to develop a portion of multiple-choice questions on its February 2025 bar exam, causing outrage among law school faculty and test takers. The admission comes after weeks of complaints about technical problems and irregularities during the exam administration, reports the Los Angeles Times. The State Bar disclosed that its psychometrician (a person skilled in administrating psychological tests), ACS Ventures, created 23 of the 171 scored multiple-choice questions with AI assistance. Another 48 questions came from a first-year law student exam, while Kaplan Exam Services developed the remaining 100 questions.

The State Bar defended its practices, telling the LA Times that all questions underwent review by content validation panels and subject matter experts before the exam. "The ACS questions were developed with the assistance of AI and subsequently reviewed by content validation panels and a subject matter expert in advance of the exam," wrote State Bar Executive Director Leah Wilson in a press release. According to the LA Times, the revelation has drawn strong criticism from several legal education experts. "The debacle that was the February 2025 bar exam is worse than we imagined," said Mary Basick, assistant dean of academic skills at the University of California, Irvine School of Law. "I'm almost speechless. Having the questions drafted by non-lawyers using artificial intelligence is just unbelievable." Katie Moran, an associate professor at the University of San Francisco School of Law who specializes in bar exam preparation, called it "a staggering admission." She pointed out that the same company that drafted AI-generated questions also evaluated and approved them for use on the exam. The report notes that the AI disclosure follows technical glitches with the February exam (like login issues, screen lag, and confusing questions), which led to a federal lawsuit against Meazure Learning and calls for a State Bar audit.

Apple was fined 500 million euros ($570 million) on Wednesday and Meta 200 million euros, as European Union antitrust regulators handed out the first sanctions under landmark legislation aimed at curbing the power of Big Tech. From a report: The EU fines could stoke tensions with U.S. President Donald Trump who has threatened to levy tariffs against countries that penalise U.S. companies. WSJ adds more details: The commission also issued cease-and-desist orders that could have a bigger impact than the fines. One order targets Apple's App Store and the other takes aim at Meta's use of personalized ads -- important revenue streams for each company.

[...] The EU's action against Meta focuses on the company's effort to get users to agree to seeing personalized ads on Instagram and Facebook -- its main source of revenue. The commission ordered Meta to stop requiring users to either agree to those ads or pay for a subscription. It said it was still evaluating whether a "less-personalized ads" option that Meta introduced last fall complies with that order, raising the specter of further changes.

The Apple case deals with the company's App Store rules. The commission said Apple had failed to comply with an obligation to allow app developers to inform customers, free of charge, of alternative ways to purchase digital products.

Walmart is taking a lesson from the humble honeybee in its quest to make its deliveries as fast as possible. From a report: The retail giant already boasts a formidable store count of 4,700 locations across the US, which puts it within a short drive of more than 90% of households. But in order to grow its reach without necessarily having to build new supercenters, Walmart says it has been using a relatively new hexagonal map segmentation -- a change from the conventional ZIP code or radius-based strategies that are commonly used in determining delivery areas.

Walmart says the strategy allows it to better understand where customers are and which stores have what they want. As bees have long known, hexagons can be an excellent shape for making the most of a given space, and Walmart says the more precise maps allow it to reach an additional 12 million US households with same-day delivery.

"This is helping us to adapt how we service our customers, by allowing us to go from a fixed-mile radius into a much more dynamic catchment area that caters to the needs of the customers that a particular store will serve," Walmart global tech senior director of engineering Parthibban Raja told Fast Company in December, following a pilot of the concept. Walmart says its platform uses a combination of its own data and open-source software to create new delivery zones.

Offices nationwide are ditching harsh fluorescent lighting in favor of advanced systems designed to improve cognitive function and entice remote workers back to physical workplaces. Companies are investing in circadian-tuned lighting that adjusts intensity and color temperature throughout the day to mimic natural light patterns, syncing with employees' biological rhythms, according to WSJ.

The technology arsenal includes faux skylights displaying virtual suns and moons, AI-controlled self-tinting windows, and customizable lighting zones that can be adjusted via remote control. Research suggests these innovations may improve brain function during tasks requiring sustained attention. "We've known for a long time that natural light is better and makes people feel better," says Peter Cappelli, professor at Wharton School. The innovations stem from discoveries in the early 2000s of photosensitive retinal cells that affect biology independent of vision. Industry specialists report a "huge uptick in requests," though implementation adds 20-30% to project costs, potentially slowing mainstream adoption.

An anonymous reader shares a report: In a shocking development, Google won't roll out a new standalone prompt for third-party cookies in Chrome. It's a move that amounts to a U-turn on the Chrome team's earlier updated approach to deprecating third-party cookies, announced in July last year, with the latest development bound to cause ructions across the ad tech ecosystem. "We've made the decision to maintain our current approach to offering users third-party cookie choice in Chrome, and will not be rolling out a new standalone prompt for third-party cookies," wrote Anthony Chavez, vp Privacy Sandbox at Google, in a blog post published earlier today (April 22). "Users can continue to choose the best option for themselves in Chrome's Privacy and Security Settings." However, it's not the end of Privacy Sandbox, according to Google, as certain initiatives incubated within the project are set to continue, such as its IP Protection for Chrome Incognito users, which will be rolled out in Q3.

Google has argued in court that the U.S. Department of Justice's proposal to break up its Chrome and Android businesses would weaken national security and harm the country's position in the global AI race, particularly against China. CNBC reports: The remedies trial in Washington, D.C., follows a judge's ruling in August that Google has held a monopoly in its core market of internet search, the most-significant antitrust ruling in the tech industry since the case against Microsoft more than 20 years ago. The Justice Department has called for Google to divest its Chrome browser unit and open its search data to rivals.

Google said in a blog post on Monday that such a move is not in the best interest of the country as the global battle for supremacy in artificial intelligence rapidly intensifies. In the first paragraph of the post, Google named China's DeepSeek as an emerging AI competitor. The DOJ's proposal would "hamstring how we develop AI, and have a government-appointed committee regulate the design and development of our products," Lee-Anne Mulholland, Google's vice president of regulatory affairs, wrote in the post. "That would hold back American innovation at a critical juncture. We're in a fiercely competitive global race with China for the next generation of technology leadership, and Google is at the forefront of American companies making scientific and technological breakthroughs."

An anonymous reader quotes a report from MIT Technology Review: Arete Glacier Initiative has raised $5 million to improve forecasts of sea-level rise and explore the possibility of refreezing glaciers in place. Off one atoll, just south of the Maldives' capital, Male, researchers are testing one way to capture sand in strategic locations -- to grow islands, rebuild beaches, and protect coastal communities from sea-level rise. Swim 10 minutes out into the En'boodhoofinolhu Lagoon and you'll find the Ramp Ring, an unusual structure made up of six tough-skinned geotextile bladders. These submerged bags, part of a recent effort called the Growing Islands project, form a pair of parentheses separated by 90meters (around 300 feet). The bags, each about two meters tall, were deployed in December 2024, and by February, underwater images showed that sand had climbed about a meter and a half up the surface of each one, demonstrating how passive structures can quickly replenish beaches and, in time, build a solid foundation for new land. "There's just a ton of sand in there. It's really looking good," says Skylar Tibbits, an architect and founder of the MIT Self-Assembly Lab, which is developing the project in partnership with the Male-based climate tech company Invena.

The Self-Assembly Lab designs material technologies that can be programmed to transform or "self-assemble" in the air or underwater, exploiting natural forces like gravity, wind, waves, and sunlight. Its creations include sheets of wood fiber that form into three-dimensional structures when splashed with water, which the researchers hope could be used for tool-free flat-pack furniture.Growing Islands is their largest-scale undertaking yet. Since 2017, the project has deployed 10 experiments in the Maldives, testing different materials, locations, and strategies, including inflatable structures and mesh nets. The Ramp Ring is many times larger than previous deployments and aims to overcome their biggest limitation.

In the Maldives, the direction of the currents changes with the seasons. Past experiments have been able to capture only one seasonal flow, meaning they lie dormant for months of the year. By contrast, the Ramp Ring is "omnidirectional," capturing sand year-round. "It's basically a big ring, a big loop, and no matter which monsoon season and which wave direction, it accumulates sand in the same area," Tibbits says. The approach points to a more sustainable way to protect the archipelago, whose growing population is supported by an economy that caters to 2 million annual tourists drawn by its white beaches and teeming coral reefs. Most of the country's 187 inhabited islands have already had some form of human intervention to reclaim land or defend against erosion, such as concrete blocks, jetties, and breakwaters.

CATL has unveiled a second-generation Shenxing battery capable of delivering a 520km range in just five minutes of charging, surpassing BYD's recent breakthrough and positioning both Chinese firms ahead of Western rivals in EV battery tech. The battery manufacturer also introduced a sodium-ion battery called Naxtra, offering up to 500km range for EVs and potential to diversify global energy resources. The Financial Times reports: The claims by the Chinese battery groups would put them ahead of major western rivals. At present, Tesla vehicles can be charged up to 200 miles (321km) in added range in 15 minutes, while Germany's Mercedes-Benz recently launched its all-electric CLA compact sedan, which can be charged for up to 325km within 10 minutes using a fast-charging station. [...] The second generation of the Shenxing battery, which boasts a range of 800km on one charge, can achieve a peak charging speed of 2.5km per second, the company said at a media event ahead of this week's Shanghai auto show.

"We look forward to collaborating with more industry leaders to push the limits of supercharging through true innovation," said CATL's chief technology officer Gao Huan, adding that he wanted the new batteries to become "the standard for electric vehicles." Analysts at Bernstein said the latest progress meant that charging speeds had more than doubled in the past year and "increased tenfold over the past 3-4 years." Huan said the new Shenxing battery would be installed in more than 67 EV models this year. He later told reporters that energy density would not be sacrificed as a trade-off for fast charging.

During its tech day, CATL also unveiled its new sodium-ion battery, which it said would go into mass production in December. The battery brand called Naxtra is able to give a range of about 200km for a hybrid vehicle and 500km for an electric vehicle, according to Huan. [...] At the event, Huan claimed the new sodium-ion battery would enable the industry's shift from "single resource dependence" to "energy freedom" and reshape the global energy landscape. He added that he was in discussions with several companies about using sodium-ion batteries in their vehicles.

An anonymous reader quotes a report from Tom's Hardware: While most people enjoy PCs that are powered by SSDs, mechanical hard drives are still king in the datacenter. When these drives reach the end of their useful lives, they are usually shredded, and the key materials they're made of -- including several rare earth elements (REE) -- end up as e-waste. At the same time, countries are mining these same materials and emitting a lot of greenhouse gases in the process. And China, a major source of REE, recently announced export restrictions on seven of them, potentially limiting the U.S. tech industry's access to materials such as dysprosium, which is necessary for magnetic storage, motors, and generators.

[On Thursday], Western Digital announced that it has created a large-scale hard disk drive recycling program in concert with Microsoft and recycling-industry partners CMR (Critical Materials Recycling) and PedalPoint Recycling. The new process reclaims Rare Earth Oxides (REO) containing dysprosium, neodymium, and praseodymium from hard drives, along with aluminum, steel, gold, palladium, and copper. The REO reclamation takes place completely within the U.S. and those materials go back into the U.S. market.

Dubbed the Advanced Recycling and Rare Earth Material Capture Program, WD's initiative has already saved 47,000 pounds worth of hard drives, SSDs, and caddies from landfills or less-effective recycling programs. WD was able to achieve a more than 90% reclaim rate for REE and an 80% rate for all of the shredded material. The drives came from Microsoft's U.S. data centers where they were first shredded and then sent to PedalPoint for sorting and processing. Magnets and steel were then sent to CMR, which uses its acid-free dissolution recycling (ADR) technology to extract the rare earth elements.

Amazon has delayed some commitments around new data center leases, Wells Fargo analysts said Monday, the latest sign that economic concerns may be affecting tech companies' spending plans. From a report: A week ago, a Microsoft executive said the software company was slowing down or temporarily holding off on advancing early build-outs. Amazon Web Services and Microsoft are the leading providers of cloud infrastructure, and both have ramped up their capital expenditures in recent quarters to meet the demands of the generative artificial intelligence boom.

"Over the weekend, we heard from several industry sources that AWS has paused a portion of its leasing discussions on the colocation side (particularly international ones)," Wells Fargo analysts wrote in a note. They added that "the positioning is similar to what we've heard recently from MSFT," in that both companies are reeling in some new projects but not canceling signed deals.

Google is confronting an existential threat as the U.S. government tries to break up the company as punishment for turning its revolutionary search engine into an illegal monopoly. From a report: The drama began to unfold Monday in a Washington courtroom as three weeks of hearings kicked off to determine how the company should be penalized for operating a monopoly in search. In its opening arguments, federal antitrust enforcers also urged the court to impose forward-looking remedies to prevent Google from using artificial intelligence to further its dominance. "This is a moment in time, we're at an inflection point, will we abandon the search market and surrender them to control of the monopolists or will we let competition prevail and give choice to future generations," said Justice Department attorney David Dahlquist.

The proceedings, known in legal parlance as a "remedy hearing," are set to feature a parade of witnesses that includes Google CEO Sundar Pichai. The U.S. Department of Justice is asking a federal judge to order a radical shake-up that would ban Google from striking the multibillion dollar deals with Apple and other tech companies that shield its search engine from competition, share its repository of valuable user data with rivals and force a sale of its popular Chrome browser. Google's attorney, John Schmidtlein, said in his opening statement that the court should take a much lighter touch. He said the government's heavy-handed proposed remedies wouldn't boost competition but instead unfairly reward lesser rivals with inferior technology. "Google won its place in the market fair and square," Schmidtlein said.

Over 100 mid-market software companies are caught in a dangerous "squeeze" between AI-native startups and tech giants, according to a new AlixPartners study released Monday. The consulting firm warns many face "threats to their survival over the next 24 months" as generative AI fundamentally reshapes enterprise software.

The squeeze reflects a dramatic shift: AI agents are evolving from mere assistants to becoming applications themselves, potentially rendering traditional SaaS architecture obsolete. High-growth companies in this sector plummeted from 57% in 2023 to 39% in 2024, with further decline expected. Customer stickiness is also deteriorating, with median net dollar retention falling from 120% in 2021 to 108% in Q3 2024.

In February tech journalist Nicholas Carr published Superbloom: How Technologies of Connection Tear Us Apart.

A University of Virginia academic journal says the book "appraises the past and present" of information technology while issuing "a warning about its future." And specifically Carr argues that the government ignored historic precedents by not regulating the early internet sometime in the 1990s. But as he goes on to remind us, the early 1990s were also when the triumphalism of America's Cold War victory, combined with the utopianism of Silicon Valley, convinced a generation of decision-makers that "an unfettered market seemed the best guarantor of growth and prosperity" and "defending the public interest now meant little more than expanding consumer choice." So rather than try to anticipate the dangers and excesses of commercialized digital media, Congress gave it free rein in the Telecommunications Act of 1996, which, as Carr explains,

"...erased the legal and ethical distinction between interpersonal communication and broadcast communications that had governed media in the twentieth century. When Google introduced its Gmail service in 2004, it announced, with an almost imperial air of entitlement, that it would scan the contents of all messages and use the resulting data for any purpose it wanted. Our new mailman would read all our mail."

As for the social-media platforms, Section 230 of the Act shields them from liability for all but the most egregiously illegal content posted by users, while explicitly encouraging them to censor any user-generated content they deem offensive, "whether or not such material is constitutionally protected" (emphasis added). Needless to say, this bizarre abdication of responsibility has led to countless problems, including what one observer calls a "sociopathic rendition of human sociability." For Carr, this is old news, but he warns us once again that the compulsion "to inscribe ourselves moment by moment on the screen, to reimagine ourselves as streams of text and image...[fosters] a strange, needy sort of solipsism. We socialize more than ever, but we're also at a further remove from those we interact with."
Carr's book suggests "frictional design" to slow posting (and reposting) on social media might "encourage civil behavior" — but then decides it's too little, too late, because our current frictionless efficiency "has burrowed its way too deeply into society and the social mind."

Based on all of this, the article's author looks ahead to the next revolution — AI — and concludes "I do not think it wise to wait until these kindly bots are in place before deciding how effective they are. Better to roll them off the nearest cliff today..."

Chad Anderson is the founder/managing partner of the early-stage VC Space Capital (and an investor in SpaceX, along with dozens of other space companies). Space Capital produces quarterly reports on the space economy, and he says today, unlike 2021, "the froth is gone. But so is the hype. What's left is a more grounded — and investable — space economy."

On Yahoo Finance he shares several of the report's insights — including the emergence of "investable opportunities across defense-oriented startups in space domain awareness, AI-driven command systems, and hardened infrastructure." The same geopolitical instability that's undermining public markets is driving national urgency around space resilience. China's simulated space "dogfights" prompted the US Department of Defense to double down on orbital supremacy, with the proposed "Golden Dome" missile shield potentially unleashing a new wave of federal spending...

Defense tech is on fire, but commercial location-based services and logistics are freezing over. Companies like Shield AI and Saronic raised monster rounds, while others are relying on bridge financings to stay afloat...

Q1 also saw a breakout quarter for geospatial artificial intelligence (GeoAI). Software developer Niantic launched a spatial computing platform. SkyWatch partnered with GIS software supplier Esri. Planet Labs collaborated with Anthropic. And Xona Space Systems inked a deal with Trimble to boost precision GPS. This is the next leg of the space economy, where massive volumes of satellite data is finally made useful through machine learning, semantic indexing, and real-time analytics.

Distribution-layer companies are doing more with less. They remain underfunded relative to infrastructure and applications but are quietly powering the most critical systems, such as resilient communications, battlefield networks, and edge-based geospatial analysis. Don't let the low round count fool you; innovation here is quietly outpacing capital.
The article includes several predictions, insights, and possible trends (going beyond the fact that defense spending "will carry the sector...")

• "AI's integration into space (across geospatial intelligence, satellite communications, and sensor fusion) is not a novelty. It's a competitive necessity."

• "Focusing solely on rockets and orbital assets misses where much of the innovation and disruption is occurring: the software-defined layers that sit atop the physical backbone..."

• "For years, SpaceX faced little serious competition, but that's starting to change." [He cites Blue Origin's progress toward approval for launching U.S. military satellites, and how Rocket Lab and Stoke Space "have also joined the competition for lucrative government launch contracts." Even Relativity Space may make a comeback, with former GOogle CEO Eric Schmidt acquiring a controlling stake.]

• "An infrastructure reset is coming. The imminent ramp-up of SpaceX's Starship could collapse the cost structure for the infrastructure layer. When that happens, legacy providers with fixed-cost-heavy business models will be at risk. Conversely, capital-light innovators in station design, logistics, and in-orbit servicing could suddenly be massively undervalued."

Matt Asay answered questions from Slashdot readers in 2010 (as the then-COO of Canonical). He currently runs developer relations at MongoDB (after holding similar positions at AWS and Adobe).

This week he contributed an opinion piece to InfoWorld arguing that DeepSeek "may have originated in China, but it stopped being Chinese the minute it was released on Hugging Face with an accompanying paper detailing its development." Soon after, a range of developers, including the Beijing Academy of Artificial Intelligence (BAAI), scrambled to replicate DeepSeek's success but this time as open source software. BAAI, for its part, launched OpenSeek, an ambitious effort to take DeepSeek's open-weight models and create a project that surpasses DeepSeek while uniting "the global open source communities to drive collaborative innovation in algorithms, data, and systems."

If that sounds cool to you, it didn't to the U.S. government, which promptly put BAAI on its "baddie" list. Someone needs to remind U.S. (and global) policymakers that no single country, company, or government can contain community-driven open source... DeepSeek didn't just have a moment. It's now very much a movement, one that will frustrate all efforts to contain it. DeepSeek, and the open source AI ecosystem surrounding it, has rapidly evolved from a brief snapshot of technological brilliance into something much bigger — and much harder to stop. Tens of thousands of developers, from seasoned researchers to passionate hobbyists, are now working on enhancing, tuning, and extending these open source models in ways no centralized entity could manage alone.

For example, it's perhaps not surprising that Hugging Face is actively attempting to reverse engineer and publicly disseminate DeepSeek's R1 model. Hugging Face, while important, is just one company, just one platform. But Hugging Face has attracted hundreds of thousands of developers who actively contribute to, adapt, and build on open source models, driving AI innovation at a speed and scale unmatched even by the most agile corporate labs.

Hugging Face by itself could be stopped. But the communities it enables and accelerates cannot. Through the influence of Hugging Face and many others, variants of DeepSeek models are already finding their way into a wide range of applications. Companies like Perplexity are embedding these powerful open source models into consumer-facing services, proving their real-world utility. This democratization of technology ensures that cutting-edge AI capabilities are no longer locked behind the walls of large corporations or elite government labs but are instead openly accessible, adaptable, and improvable by a global community.
"It's Linux all over again..." Asay writes at one point. "What started as the passion project of a lone developer quickly blossomed into an essential, foundational technology embraced by enterprises worldwide," winning out "precisely because it captivated developers who embraced its promise and contributed toward its potential."

We are witnessing a similar phenomenon with DeepSeek and the broader open source AI ecosystem, but this time it's happening much, much faster...

Organizations that cling to proprietary approaches (looking at you, OpenAI!) or attempt to exert control through restrictive policies (you again, OpenAI!) are not just swimming upstream — they're attempting to dam an ocean. (Yes, OpenAI has now started to talk up open source, but it's a long way from releasing a DeepSeek/OpenSeek equivalent on GitHub.)

The Trump administration is "taking measures to restrict the sale of AI chips by Nvidia, Advanced Micro Devices and Intel," especially in China, reports the New York Times. But that's triggered a series of dominoes. "In the two days after the limits became public, shares of Nvidia, the world's leading AI chipmaker, fell 8.4%. AMD's shares dropped 7.4%, and Intel's were down 6.8%." (AMD expects up to $800 million in charges after the move, according to CNBC, while NVIDIA said it would take a quarterly charge of about $5.5 billion.)

The Times notes hopeful remarks Thursday from Jensen Huang, CEO of Nvidia, during a meeting with the China Council for the Promotion of International Trade. "We're going to continue to make significant effort to optimize our products that are compliant within the regulations and continue to serve China's market." But America's chipmakers also have a greater fear, according to the article: "that their retreat could turn the Chinese tech giant Huawei into a global chip-making powerhouse." "For the U.S. semiconductor industry, China is gone," said Handel Jones, a semiconductor consultant at International Business Strategies, which advises electronics companies. He projects that Chinese companies will have a majority share of chips in every major category in China by 2030... Huang's message spoke to one of his biggest fears. For years, he has worried that Huawei, China's telecommunications giant, will become a major competitor in AI. He has warned U.S. officials that blocking U.S. companies from competing in China would accelerate Huawei's rise, said three people familiar with those meetings who spoke on the condition of anonymity.

If Huawei gains ground, Huang and others at Nvidia have painted a dark picture of a future in which China will use the company's chips to build AI data centers across the world for the Belt and Road Initiative, a strategic effort to increase Beijing's influence by paying for infrastructure projects around the world, a person familiar with the company's thinking said...

Nvidia's previous generation of chips perform about 40% better than Huawei's best product, said Gregory C. Allen, who has written about Huawei in his role as director of the Wadhwani AI Center at the Center for Strategic and International Studies. But that gap could dwindle if Huawei scoops up the business of its American rivals, Allen said. Nvidia was expected to make more than $16 billion in sales this year from the H20 in China before the restriction. Huawei could use that money to hire more experienced engineers and make higher-quality chips. Allen said the U.S. government's restrictions also could help Huawei bring on customers like DeepSeek, a leading Chinese AI startup. Working with those companies could help Huawei improve the software it develops to control its chips. Those kinds of tools have been one of Nvidia's strengths over the years.
TechRepublic identifies this key quote from an earlier article: "This kills NVIDIA's access to a key market, and they will lose traction in the country," Patrick Moorhead, a tech analyst with Moor Insights & Strategy, told The New York Times. He added that Chinese companies will buy from local rival Huawei instead.

"Seismologist Deborah Kilb was wading through California earthquake records from the past four decades when she noticed something odd," reports CNN, "a series of deep earthquakes that had occurred under the Sierra Nevada at a depth where Earth's crust would typically be too hot and high pressure for seismic activity..." Kilb flagged the data to Vera Schulte-Pelkum, a research scientist at the Cooperative Institute for Research in Environmental Sciences and an associate research professor of geological sciences at the University of Colorado Boulder... Using the newfound data, the researchers imaged the Sierra Nevada through a technique known as receiver function analysis, which uses seismic waves to map Earth's internal structure. The scientists found that in the central region of the mountain range, Earth's crust is currently peeling away, a process scientifically known as lithospheric foundering. Kilb and Schulte-Pelkum reported the findings in December in the journal Geophysical Research Letters.

The hypothesis lined up with previous speculation that the area had undergone lithospheric foundering, which happens when Earth's outermost layer sinks into the lower layer of the mantle. Now, the study authors believe that the process is ongoing and is currently progressing to the north of the mountain range, according to the study... What's happening under the Sierra Nevada could offer rare insight into how the continents formed, Schulte-Pelkum said. The finding could also help scientists identify more areas where this process is happening as well as provide a better understanding of earthquakes and how our planet operates, she added...

Evidence for this process has been hard to come by. It is not visible from above ground, and it's an extremely slow process. Scientists theorize that the south Sierra finished the process of lithospheric foundering about 4 million to 3 million years ago, according to the study. It appears that these natural events happen occasionally around the world, Schulte-Pelkum said. "Geologically speaking, this is a pretty quick process with long periods of stability in between. ... This (lithosphere foundering) probably started happening a long time ago when we started building continents, and (the continents) have gotten bigger over time. So it's just sort of this punctuated, localized thing," she added...

Further study within this area could also help scientists better understand how the Earth evolves on long timescales. If the lithospheric foundering continues underneath the mountain range, one can speculate that the land will continue to stretch vertically, changing the way the landscape looks now [said Mitchell McMillan, a research geologist and postdoctoral fellow at Georgia Tech, who was not involved with the study]. But that could take anywhere from several hundred thousand to a few million years, he added.

Some actors who sold their likenesses to AI video companies like Synthesia now regret the decision, after finding their digital avatars used in misleading, embarrassing, or politically charged content. Ars Technica reports: Among them is a 29-year-old New York-based actor, Adam Coy, who licensed rights to his face and voice to a company called MCM for one year for $1,000 without thinking, "am I crossing a line by doing this?" His partner's mother later found videos where he appeared as a doomsayer predicting disasters, he told the AFP. South Korean actor Simon Lee's AI likeness was similarly used to spook naive Internet users but in a potentially more harmful way. He told the AFP that he was "stunned" to find his AI avatar promoting "questionable health cures on TikTok and Instagram," feeling ashamed to have his face linked to obvious scams. [...]

Even a company publicly committed to ethically developing AI avatars and preventing their use in harmful content like Synthesia can't guarantee that its content moderation will catch everything. A British actor, Connor Yeates, told the AFP that his video was "used to promote Ibrahim Traore, the president of Burkina Faso who took power in a coup in 2022" in violation of Synthesia's terms. [...] Yeates was paid about $5,000 for a three-year contract with Synthesia that he signed simply because he doesn't "have rich parents and needed the money." But he likely couldn't have foreseen his face being used for propaganda, as even Synthesia didn't anticipate that outcome.

Others may not like their AI avatar videos but consider the financial reward high enough to make up for the sting. Coy confirmed that money motivated his decision, and while he found it "surreal" to be depicted as a con artist selling a dystopian future, that didn't stop him from concluding that "it's decent money for little work." Potentially improving the climate for actors, Synthesia is forming a talent program that it claims will give actors a voice in decision-making about AI avatars. "By involving actors in decision-making processes, we aim to create a culture of mutual respect and continuous improvement," Synthesia's blog said.

schwit1 shares a report from Interesting Engineering: Australia's Q-CTRL developed a new system called "Ironstone Opal," which uses quantum sensors to navigate without GPS. It's passive (meaning it doesn't emit signals that could be detected or jammed) and highly accurate. Instead of relying on satellites, Q-CTRL's system can read the Earth's magnetic field, which varies slightly depending on location (like a magnetic fingerprint or map). The system can determine where you are by measuring these variations using magnetometers. This is made possible using the company's proprietary quantum sensors, which are incredibly sensitive and stable. The system also comes with special AI-based software, which filters out interference like vibrations or electromagnetic noise (what they call "software ruggedization"). The system is small and compact and could, in theory, be installed in drones or cars and, of course, aircraft.

Q-CTRL ran some live tests on the ground and in the air to validate the technology. As anticipated, they found that it could operate completely independently of GPS. Moreover, the company reports that its quantum GPS was 50 times more accurate than traditional GPS backup systems (like Inertial Navigation Systems or INS). The systems also delivered navigation precision on par with hitting a bullseye from 1,000 yards. Even when the equipment was mounted inside a plane, where interference is much worse, it outperformed existing systems by at least 11x. This is the first time quantum technology has been shown to outperform existing tech in a real-world commercial or military application, a milestone referred to as achieving "quantum advantage."

Amazon plans to release its first TV streaming device powered by Vega OS later this year while courting major publishers to bring their apps to the platform, according to Lowpass, which cites sources familiar with the company's plans and multiple leaks.

Vega, a Linux-based operating system, may eventually replace Amazon's Android-based Fire OS across its device ecosystem. The company has already implemented Vega in three products: the Echo Show 5 and Echo Hub smart displays, as well as the Echo Spot smart clock/speaker. The tech giant has moved more cautiously in transitioning its TV hardware to Vega, having previously delayed a Vega-powered streaming stick originally slated for release in late 2024.