Public stock exchanges "appear to be warming to climate tech startups," reports TechCrunch. "Or at least some of them." This week, nuclear startup X-energy went public, raising $1 billion in an upsized share offering that appears to have delivered a windfall for its investors, including Amazon [and Google]. Retail investors apparently can't get enough, with the stock popping 25% in its first hour of trading. Also this week, geothermal startup Fervo said it filed for an initial public offering. The size of the Fervo IPO has yet to be disclosed, but private investors have valued the company at around $3 billion, according to PitchBook.

The move to go public aligns with what investors told TechCrunch at the end of last year. After years of tepid attitudes toward climate tech companies, they expected public markets to start welcoming energy-related startups. Nearly every investor that weighed in on the question said the startups with the best chances of going public specialize in either nuclear fission or enhanced geothermal. Fervo, specifically, was mentioned several times. Thank data centers for that. The AI craze has taken a trend of rising demand for electricity and made it sexy and salable.

An anonymous reader shared this report from Bloomberg: More than three years after acquiring Twitter, Elon Musk says he's nearing his long-stated goal of turning it into an "everything app" with a new financial services tool that he pledged to launch for the public this month... Early users testing the service have touted competitive perks, including 3% cash back on eligible purchases and a 6% interest rate on cash savings — the latter of which is roughly 15 times the national average. Musk's new product is also expected to offer free peer-to-peer transfers, a metal Visa debit card personalised with a user's X handle, and an AI concierge built by Musk's xAI startup that tracks spending and sorts through past transactions, according to reports from users with early access.

Musk, who first rose to prominence in Silicon Valley by co-founding PayPal Holdings Inc, sees payments as crucial to creating a so-called super app similar to social products that have flourished in China. WeChat, for example, lets users hail a ride, book a flight and pay off their credit card... If it works, X Money would sit at the intersection of social media and finance in a way no American product has attempted at this scale... Creators who currently receive payments from X for engagement will be switched from Stripe to X Money as their payment platform, according to early users — a move that guarantees an initial base of active accounts. Some have already been testing X Money to send payments to one another through the app's chat feature or directly through their profiles, according to early participants in the rollout...

X currently holds licences in 44 states, according to its website, and likely won't be able to operate in states where it hasn't obtained a licence.

How will Apple change in September under its new CEO — former hardware chief John Ternus? The blog Geeky Gadgets is already expecting "significant updates to the iPhone over the next three years," as well as streamlined internal engineering (plus durability enhancements and high-capacity batteries).

2026: Foldable display
2027: Bezel-less iPhone 20 (celebrating the iPhone's 20th anniversary)

CNET's web sites (which include ZDNET, PCMag, Mashable and Lifehacker) are even hosting a contest "to see which of our readers can make the best Apple predictions for 2026. Answer five questions in any of our three rounds of the contest to be entered to win [$applePrize] in September."

But the blog 9to5Mac already has a list of new upcoming Apple products, courtesy of Bloomberg's Mark Gurman (who appeared on the TBPN podcast this week "to talk about Apple's CEO transition, what to expect from John Ternus, and more." As part of the conversation, Gurman said: "There are six major Apple products in development right now, six major new product categories." Here's the full list he shared:

1. AI AirPods
2. Smart glasses
3. Pendant
4. Smart display
5. Tabletop robot
6. Security camera

[...] Gurman has reported on the Pendant before as a new AI wearable that's an alternative to AI AirPods and Glasses. All three products are expected to rely heavily on a paired iPhone for Siri and other AI features. The smart display ('HomePad'), tabletop robot, and security camera are all brand new Apple Home products.
The AI features arrive "thanks to the revamped Apple Foundation Models trained by Google Gemini," reports the AppleInsider blog (citing Gurman's Power On newsletter at Bloomberg). The smart doorbell camera will include "an Apple Intelligence-upgraded version of the facial recognition already included with HomeKit Secure Video. Today, HSV can utilize the Apple Home admin's tagged faces in their Photos app to label people that are viewed on the camera. When a known person rings the doorbell, Siri will announce them by name over the HomePod chime."

The Conversation published this warning from privacy/tech law/electronic surveillance attorney Anne Toomey McKenna (also an affiliated faculty member at Penn State's Institute for Computational and Data Sciences). The U.S. government "is able to purchase Americans' sensitive data because the information it buys is not subject to the same restrictions as information it collects directly. The federal government is also ramping up its abilities to directly collect data through partnerships with private tech companies. These surveillance tech partnerships are becoming entrenched, domestically and abroad, as advances in AI take surveillance to unprecedented levels... " Congressional funding is supercharging huge government investments in surveillance tech and data analytics driven by AI, which automates analysis of very large amounts of data. The massive 2025 tax-and-spending law netted the Department of Homeland Security an unprecedented US$165 billion in yearly funding. Immigration and Customs Enforcement, part of DHS, got about $86 billion. Disclosure of documents allegedly hacked from Homeland Security reveal a massive surveillance web that has all Americans in its scope. DHS is expanding its AI surveillance capabilities with a surge in contracts to private companies. It is reportedly funding companies that provide more AI-automated surveillance in airports; adapters to convert agents' phones into biometric scanners; and an AI platform that acquires all 911 call center data to build geospatial heat maps to predict incident trends. Predicting incident trends can be a form of predictive policing, which uses data to anticipate where, when and how crime may occur...

Meanwhile, the Trump administration's national policy framework for artificial intelligence, released on March 20, 2026, urges Congress to use grants and tax incentives to fund "wider deployment of AI tools across American industry" and to allow industry and academia to use federal datasets to train AI. Using federal datasets this way raises privacy law concerns because they contain a lifetime of sensitive details about you, including biographical, employment and tax information....
The author argues that it's now critical for Americans to know "why the laws you might think are protecting your data do not apply or are ignored." On March 18, 2026, FBI Director Kash Patel confirmed to Congress that the FBI is buying Americans' data from data brokers, including location histories, to track American citizens.... But in buying your data in bulk on the commercial market, the government is circumventing the Constitution, Supreme Court decisions and federal laws designed to protect your privacy from unwarranted government overreach... Supreme Court cases require police to get a warrant to search a phone or use cellular or GPS location information to track someone. The Electronic Communications Privacy Act's Wiretap Act prohibits unauthorized interception of wire, oral and electronic communications.

Despite some efforts, Congress has failed to enact legislation to protect data privacy, the use of sensitive data by AI systems or to restore the intent of the Electronic Communications Privacy Act. Courts have allowed the broad electronic privacy protections in the federal Wiretap Act to be eviscerated by companies claiming consent. In my opinion, the way to begin to address these problems is to restore the Wiretap Act and related laws to their intended purposes of protecting Americans' privacy in communications, and for Congress to follow through on its promises and efforts by passing legislation that secures Americans' data privacy and protects them from AI harms.
Thanks to long-time Slashdot reader sinij for sharing the article.

The AI industry is largely failing to ask a key design question, argues theoretical neuroscientist/cognitive scientist Vivienne Ming. Are their AI products building human capacity or consuming it?

In the Wall Street Journal Ming shares her experiment about which group performed best at predicting real-world events (compared to forecasters on prediction market Polymarket) — AI, human, or human-AI hybrid teams. The human groups performed poorly, relying on instinct or whatever information had come across their feeds that morning. The large AI models — ChatGPT and Gemini, in this case — performed considerably better, though still short of the market itself. But when we combined AI with humans, things got more interesting. Most hybrid teams used AI for the answer and submitted it as their own, performing no better than the AI alone. Others fed their own predictions into AI and asked it to come up with supporting evidence. These "validators" had stumbled into a classic confirmation bias-loop: the sycophancy that leads chatbots to tell you what you want to hear, even if it isn't true. They ended up performing worse than an AI working solo.

But in roughly 5% to 10% of teams, something different emerged. The AI became a sparring partner. The teams pushed back, demanding evidence and interrogating assumptions. When the AI expressed high confidence, the humans questioned it. When the humans felt strongly about an intuition, they asked the AI to come up with a counterargument... These teams reached insightful conclusions that neither a human nor a machine could have produced on its own. They were the only group to consistently rival the prediction market's accuracy. On certain questions, they even outperformed it...

We are building AI systems specifically designed to give us the answer before we feel the discomfort of not having it. What my experiment suggests is that the human qualities most likely to matter are not the feel-good ones. They're the uncomfortable ones: the capacity to be wrong in public and stay curious; to sit with a question your phone could answer in three seconds and resist the urge to reach for it. To read a confident, fluent response from an AI and ask yourself, "What's missing?" rather than default to "Great, that's done." To disagree with something that sounds authoritative and to trust your instinct enough to follow it. We don't build these capacities by avoiding discomfort. We build them by choosing it, repeatedly, in small ways: the student who struggles through a problem before checking the answer; the person who asks a follow-up question in a conversation; the reader who sits with a difficult idea long enough for it to actually change one's mind. Most AI chatbots today default to easy answers, which is hurting our ability to think critically.

I call this the Information-Exploration Paradox. As the cost of information approaches zero, human exploration collapses. We see it in students who perform better on AI-assisted tasks and worse on everything afterward. We see it in developers shipping more code and understanding it less. We are, in ways that feel like progress, slowly optimizing ourselves out of the loop.
The author just published a book called " Robot-Proof: When Machines Have All The Answers, Build Better People." They suggest using AI to "explore uncertainty.... before you accept an AI's answer, ask it for the strongest argument against itself."

And they're also urging new performance benchmarks for AI-human hybrid teams.

After Australia banned social media for users younger than 16, teenagers "immediately worked to circumvent the restrictions," reports Fortune: 14-year-old in New South Wales, told The Washington Post in December 2025, just before the implementation of the ban, she planned to use her mother's face ID to log in to Snapchat and . In a Reddit thread on ways to bypass the ban, one user suggested using a printed mesh face mask from Temu to outsmart apps' facial recognition tools. Others still have tried VPNs that obscure their locations.

A new report suggests these efforts are working. In a survey of 1,050 Australians ages 12 to 15 conducted last month, the UK-based suicide prevention organization the Molly Rose Foundation found more than 60% of teens who had social media accounts before the ban still had access to at least one of those platforms. Social media sites including TikTok, YouTube, and Instagram, have retained more than half of their users under 16. About two-thirds of young users say these platforms have taken "no action" to remove or reactive accounts that existed before the restrictions.

The survey comes at the heels of the Australian internet regulator calling for an investigation into the five largest social media platforms over potential breaches of the ban.
The article points out that "Greece, France, Indonesia, Austria, Spain, and the UK have or are considering similar action, and eight U.S. states are weighing legislation that would put guardrails or ban social media use for minors.

It's the U.S. government's main link to the AI industry, reports The Washington Post, working to assess national security risks of new models like Anthropic's "Mythos".

To run it they'd hired Collin Burns, who'd worked at OpenAI and then Anthropic. But Burns started work Monday at the Center for AI Standards and Innovation — and then "was pushed out Thursday by the White House, according to the people, who spoke on the condition of anonymity to describe private conversations." Officials were concerned about Burns having worked at the AI company, which has fought bitterly with the Trump administration in recent months, according to one of the people and another person. That person said some senior figures at the White House had not been briefed on Burns's selection in advance... The new pick was Chris Fall, a scientist with a long career spanning the federal government and academia. Burns had been asked to resign that afternoon, according to one of the people familiar with the situation...

Dean Ball, a former Trump administration AI adviser, said on social media that Burns had given up valuable Anthropic stock and moved across the country to take the government position, and had been "rewarded by his country with a punch in the face." "Obviously what happened is Burns was bumped because of his association with Anthropic," Ball wrote. "A dumb but predictable own goal."

BMW's latest concept car moves the color-changing tech it debuted back at CES 2022 closer to reality by embedding an E Ink panel directly into the hood. The Verge reports: BMW's previous concepts wrapped the entire vehicle in a patchwork of E Ink panels that were all custom-sized and shaped to match its contours. It was an approach that wasn't practical for mass production, and one that wasn't very durable. The new BMW iX3 Flow Edition is potentially the most exciting of all of BMW's concepts as it embeds the E Ink Prism technology directly into the structure of the vehicle's hood panel, instead of just slapping it on top. The new approach has "undergone BMW's stringent quality testing" so that it meets the "requirements of automotive engineering and everyday use," according to a release from E Ink.

The BMW iX3 Flow Edition's color-changing capabilities are limited to its hood with eight different animations (which appear restricted to a grayscale palette) that can be changed by the driver at the push of a button. It's not exactly the color-changing car that BMW has been teasing for years and you still can't buy one, but by focusing on making this technology more practical and functional these vehicles are one step closer to moving past the concept phase.

Google plans to invest up to $40 billion more in Anthropic, starting with $10 billion now and another $30 billion tied to performance milestones. CNBC reports: Anthropic said the agreement expands on a longstanding partnership between the two companies. Earlier this month, Anthropic secured 5 gigawatts worth of computing capacity as part of an announcement with Google and Broadcom that will start to come online next year. Anthropic could decide to add additional gigawatts of compute in the future.

[...] The relationship between the two companies (Google and Anthropic) dates back to 2023, when Google invested $300 million in the AI lab for a stake of about 10%. Months later, Google poured in another $2 billion. Ahead of Friday's announcement, Google's investment in Anthropic exceeded $3 billion, and it reportedly owned a 14% stake in the company. Now, the leading tech companies are investing tens of billions of dollars in the frontier AI labs -- OpenAI and Anthropic -- in funding rounds that far exceed any prior investments in startups. Much of that investment will return in the form of revenue.

Norway plans to ban social media access for children under 16 (source paywalled; alternative source), "joining a growing number of countries responding to concerns about the potential harm kids face online," reports Bloomberg. From the report: The bill comes after "overwhelming" demand from the public, the government said Friday. It plans to bring the legislation to parliament before the end of the year. The limit will apply up until January 1 the year a child turns 16 with technology companies responsible for age verification, the government said. "We want a childhood where children get to be children," Prime Minister Jonas Gahr Store said in the statement. "Play, friendships, and everyday life must not be taken over by algorithms and screens." "Children cannot be left with the responsibility for staying away from platforms they are not allowed to use," Karianne Tung, Norway's minister of digitalization, said in the statement. "That responsibility rests with the companies providing these services."

Recent Slashdot coverage of countries instituting or proposing social media bans has included Australia, France, Austria, Indonesia, and Denmark.

An anonymous reader quotes a report from Wired: New gas projects linked to just 11 data center campuses around the US have the potential to create more greenhouse gases than the country of Morocco emitted in 2024. Emissions estimates from air permit documents examined by WIRED show that these natural gas projects -- which are being built to power data centers to serve some of the US's most powerful AI companies, including OpenAI, Meta, Microsoft, and xAI -- have the potential to emit more than 129 million tons of greenhouse gases per year. As tech companies race to secure massive power deals to build out hundreds of data centers across the country, these projects represent just the tip of the iceberg when it comes to the potential climate cost of the AI boom.

The infrastructure on this list of large natural gas projects reviewed by WIRED is being developed to largely bypass the grid and provide power solely for data centers, a trend known as behind-the-meter power. As data center developers face long waits for connections to traditional utilities, and amid mounting public resistance to the possibility of higher energy bills, making their own power is becoming an increasingly popular option. These projects have either been announced or are under construction, with companies already submitting air permit application materials with state agencies. [...] The emissions projections for the xAI and Microsoft projects, and all the others on WIRED's list, were pulled directly from publicly-available air permit documents in state databases as well as public air permit materials collected by both Cleanview and Oil and Gas Watch, a database maintained by the Environmental Integrity Project, an environmental enforcement nonprofit. Actual greenhouse gas emissions from power plants are usually lower than what's on their air permits. Air permit modeling is based on the scenario of a power plant constantly running at full capacity. That's rarely the reality for grid-connected power plants, as turbines go offline for maintenance or adjust to the ebbs and flows of customer demand.

"Permitted emission numbers represent a theoretical, conservative scenario, not the actual projected emissions," Alex Schott, the director of communications at Williams Companies, an oil and gas company that is building out three behind-the-meter power plants in Ohio for Meta, told WIRED in an email. Internal modeling done by the company, Schott added, shows that actual emissions could be "potentially two-thirds less than what's on paper." The projections involved, however, are still substantial. Even if the actual emissions from these power plants end up being half of the emissions numbers on the permits, they still could create more greenhouse gas emissions than the country of Norway emitted in 2024. This number is, according to the EPA, equivalent to the emissions from more than 153 average-sized natural gas plants. (WIRED's analysis does not include emissions from backup generators and turbines on the data center campuses themselves, which create smaller amounts of emissions.) Energy researcher Jon Koomey says the data center boom has created a shortage of the most efficient gas turbines, pushing some developers toward less efficient models that would need to run longer and produce more emissions. "[Data center operators'] belief is that the value being delivered by the servers is much, much more than the cost of running these inefficient power plants all the time," he said.

Michael Thomas, the founder of clean energy research firm Cleanview, has been tracking gas permits for data centers across the country. He calls behind-the-meter power "a crazy acceleration of emissions." He added: "It's almost like we thought we were on the downside of the Industrial Revolution, retiring coal and gas, and now we have a new hump where we're going to rise. That terrifies me in a lot of ways."

Apple has fixed a bug that could cause parts of Signal notifications to remain stored on iPhones even after messages disappeared and the app was deleted. "Affected users concerned about push notifications can update their devices to stop what Apple characterized as 'notifications marked for deletion' that 'could be unexpectedly retained on the device,'" reports Ars Technica. "According to Apple, the push notifications should never have been stored, but a 'logging issue' failed to redact data." From the report: Vulnerable users hoping to evade law enforcement surveillance often use encrypted apps like Signal to communicate sensitive information. That's why users felt blindsided when 404 Media reported that Apple was unexpectedly storing push notifications displaying parts of encrypted messages for up to a month. This occurred even after the message was set to disappear and the app itself was deleted from the device.

404 Media flagged the issue after speaking to multiple people who attended a hearing where the FBI testified that it "was able to forensically extract copies of incoming Signal messages from a defendant's iPhone, even after the app was deleted, because copies of the content were saved in the device's push notification database." The shocking revelation came in a case that 404 Media noted was "the first time authorities charged people for alleged 'Antifa' activities after President Trump designated the umbrella term a terrorist organization." "We're grateful to Apple for the quick action here, and for understanding and acting on the stakes of this kind of issue," Signal's post said. "It takes an ecosystem to preserve the fundamental human right to private communication."

In their post, Signal confirmed that after users update their devices, "no action is needed for this fix to protect Signal users on iOS. Once you install the patch, all inadvertently-preserved notifications will be deleted and no forthcoming notifications will be preserved for deleted applications."

Meta is reportedly cutting about 10% of its workforce, or roughly 8,000 jobs, while closing thousands of open roles it had intended to fill. "We're doing this as part of our continued effort to run the company more efficiently and to allow us to offset the other investments we're making," said Janelle Gale, Meta's chief people officer. The company had almost 79,000 employees at the start of the year. Quartz reports: Meta CEO Mark Zuckerberg has poured resources into building out AI capabilities, directing spending toward model development, chatbot products, and the engineering talent to support them. Meta set its 2026 capital expenditure guidance at $115 billion to $135 billion, almost double the $72 billion it spent in 2025. Employees have been encouraged to use AI agents internally for tasks such as writing code.

The early disclosure, Gale explained, was prompted by the fact that information about the cuts had already made its way into press reports before the company was ready to announce. "I know this is unwelcome news and confirming this puts everyone in an uneasy state, but we feel this is the best path forward, given the circumstances," she wrote.

According to the memo, severance for affected workers in the United States will cover 18 months of COBRA health insurance premiums, along with a base pay component of 16 weeks that increases by two weeks for each year of service. Departing employees will have access to job placement assistance and, where applicable, help navigating immigration status. Packages outside the U.S. will vary by country. Meta cut between 10% and 15% of its Reality Labs workforce in January, shut down several VR game studios, and shed about 700 positions across at least five divisions in March.

An anonymous reader quotes a report from Reuters: Tesla CEO Elon Musk said on Wednesday the EV maker plans to use Intel's next-generation 14A manufacturing process to make chips at its Terafab project, an advanced AI chip complex Musk has envisioned in Austin. The contract would mark Intel's first major customer for the technology, a breakthrough for the chipmaker which has struggled to stand up its contract manufacturing business essential for taking on top rival TSMC. Intel CEO Lip Bu Tan has said that the company would exit the chip manufacturing business altogether if it failed to secure an external customer.

Intel has previously said it was in discussions with large customers about 14A, but has not yet disclosed a major external customer. It declined to comment on Musk's remarks. [...] "Given that by the time Terafab scales up, 14A will be probably fairly mature or ready for prime time," Musk said. "14A seems like the right move, and we have a great relationship with Intel," he said. Ben Bajarin, head of technology consultancy Creative Strategies, said that Intel's 14A technology could "turn out to be a bigger deal for Intel than folks thought." "It's important to have multiple partners as early design partners to help clean the pipe and work through needed learnings at the leading edge. They will definitely have scale, so a great first non-Intel customer," Bajarin said.

Seaport Research Partners analyst Jay Goldberg said Musk's vote of confidence in Intel's technology outweighed the unknowns about the Terafab project. "Having a customer is more important than the timing," he said. Goldberg said that Musk's lofty estimates of how many chips its robots could one day require may or may not materialize, but even making chips for Tesla's existing businesses would be a significant win for Intel. "It's not equivalent to Apple or Nvidia" in terms of chip volumes, Goldberg said. "But it's a real customer. It can be real volumes."

Google announced two new tensor processing units (TPUs) for the "agentic era," with separate processors dedicated to training and inference. "With the rise of AI agents, we determined the community would benefit from chips individually specialized to the needs of training and serving," Amin Vahdat, a Google senior vice president and chief technologist for AI and infrastructure, said in a blog post. Both chips will become available later this year. CNBC reports: After years of producing chips that can both train artificial intelligence models and handle inference work, Google is separating those tasks into distinct processors, its latest effort to take on Nvidia in AI hardware. [...] None of the tech giants are displacing Nvidia, and Google isn't even comparing the performance of its new chips with those from the AI chip leader. Google did say the training chip enables 2.8 times the performance of the seventh-generation Ironwood TPU, announced in November, for the same price, while performance is 80% better for the inference processor.

Nvidia said its upcoming Groq 3 LPU hardware will draw on large quantities of static random-access memory, or SRAM, which is used by Cerebras, an AI chipmaker that filed to go public earlier this month. Google's new inference chip, dubbed TPU 8i, also relies on SRAM. Each chip contains 384 megabytes of SRAM, triple the amount in Ironwood. The architecture is designed "to deliver the massive throughput and low latency needed to concurrently run millions of agents cost-effectively," Sundar Pichai, CEO of Google parent Alphabet, wrote in a blog post.

A satirical but working tool called Malus uses AI to create "clean room" clones of open-source software, aiming to reproduce the same functionality while shedding attribution and copyleft obligations. "It works," Mike Nolan, one of the two people behind Malus, who researches the political economy of open source software and currently works for the United Nations, told 404 Media. "The Stripe charge will provide you the thing, and it was important for us to do that, because we felt that if it was just satire, it would end up like every other piece of research I've done on open source, which ends up being largely dismissed by open source tech workers who felt that they were too special and too unique and too intelligent to ever be the ones on the bad side of the layoffs or the economics of the situation." 404 Media reports: Malus's legal strategy for bypassing copyright is based on a historically pivotal moment for software and copyright law dating back to 1982. Back then, IBM dominated home computing, and competitors like Columbia Data Products wanted to sell products that were compatible with software that IBM customers were already using. Reverse engineering IBM's computer would have infringed on the company's copyright, so Columbia Data Products came up with what we now know as a "clean room" design.

It tasked one team with examining IBM's BIOS and creating specifications for what a clone of that system would require. A different "clean" team, one that was never exposed to IBM's code, then created BIOS that met those specifications from scratch. The result was a system that was compatible with IBM's ecosystem but didn't violate its copyright because it did not copy IBM's technical process and counted as original work.

This clean room method, which has been validated by case law and dramatized in the first season of Halt and Catch Fire, made computing more open and competitive than it would have been otherwise. But it has taken on new meaning in the age of generative AI. It is now easier than ever to ask AI tools to produce software that is identical in function to existing open source projects, and that, some would argue, are built from scratch and are therefore original work that can bypass existing copyright licenses. Others would say that software produced by large language models is inherently derivative, because like any LLM output, it is trained on the collective output of humans scraped from the internet, including specific open source projects.

Malus (pronounced malice), uses AI to do the same thing. "Finally, liberation from open source license obligations," Malus's site says. "Our proprietary AI robots independently recreate any open source project from scratch. The result? Legally distinct code with corporate-friendly licensing. No attribution. No copyleft. No problems." Copyleft is a type of copyright license that ensures reproductions or applications of the software keep it free to share and modify.

CATL unveiled a new wave of EV battery tech, "including a lighter battery pack rated for a 1,000-km (621-mile) driving range and an upgraded fast-charging battery that can go from 10 percent to 98 percent in under seven minutes," reports Interesting Engineering. From the report: The launches were made during a 90-minute event in Beijing ahead of the Beijing Auto Show, where automakers are expected to showcase next-generation EVs and connected technologies. CATL said its latest Qilin battery -- a high-energy-density pack often paired with nickel manganese cobalt (NMC) cells for long range and improved space efficiency -- can deliver a 1,000-km (621-mile) driving range. It is designed to deliver long range while reducing battery pack weight.

The company said the product is aimed at automakers facing tighter efficiency rules in China and other markets. It also rolled out an upgraded Shenxing battery -- CATL's fast-charging lithium iron phosphate (LFP) pack -- that targets one of the biggest barriers to EV adoption: charging time. CATL said the pack can recharge from 10 percent to 98 percent in less than seven minutes.

The new Shenxing battery marks a significant improvement over CATL's previous version, which charged from 5 percent to 80 percent in 15 minutes, according to Financial Times. [...] The company also announced plans to begin mass delivery of sodium-ion batteries in the fourth quarter. Sodium-ion technology is seen as a lower-cost alternative that could reduce dependence on lithium, cobalt, and nickel.

An anonymous reader quotes a report from the New York Times: SpaceX, Elon Musk's rocket and satellite company, said on Tuesday that it had struck a deal with the artificial intelligence start-up Cursor that could result in its acquiring the young company for $60 billion. SpaceX is making the deal just as it prepares to go public in what is likely to be one of the largest initial public offerings ever. In a social media post, SpaceX said the combination with Cursor, which makes code-writing software, would "allow us to build the world's most useful" A.I. models.

SpaceX added that the agreement gave it the option "to acquire Cursor later this year for $60 billion or pay $10 billion for our work together." It is unclear if the companies plan to consummate the deal before or after SpaceX's I.P.O., which could happen as early as June. [...] Cursor, which has raised more than $3 billion in funding, was founded in 2022 and made waves as a fast-growing A.I. start-up. It was under pressure in recent months after OpenAI and Anthropic announced competing code-writing products that were embraced by tech companies. Cursor had been in talks to raise funding in recent weeks.

Alex Bores, a former Palantir employee and current Democratic House candidate in New York, is proposing an "AI dividend" that would send direct payments to Americans if AI drives major job losses. "At its core, the AI Dividend is simple: if AI dramatically increases productivity and concentrates wealth, the American people have a stake in those gains," a memo on the policy reads. Axios reports: The dividend would fund direct payments to Americans. It would also be invested into workforce training and education, as well as government capacity to "govern AI safely and fund independent oversight," per the plan memo.

"You don't take out fire insurance because you expect your house to burn down -- you have insurance in case something goes awry," Bores told Axios in an interview. "Here we have, for the first time, a technology where the makers of the technology are explicitly saying that their goal is to replace all human labor." "The fact that they've put it out there means government needs to take it seriously." [...]

The proposal would be funded through:
- A token tax, described in the memo as a "modest tax on AI consumption"
- Equity participation in frontier AI firms
- Changes to the tax code that would reduce incentives to invest in AI "when it leads to less work" "If [AI companies] they can support this plan, that would show that they actually believe in what they're putting out there," Bores said. "If they're not doing it, then I think it shows that they're really putting window dressing out there."

Further reading: Palantir Posts Bond Villain Manifesto On X

DeanonymizedCoward writes: Engadget reports that Palantir has posted to X a summary of CEO Alex Karp and Nicholas W. Zamiska's 2025 book, The Technological Republic, which reads like a utopian idealist doodled on a Bond villain's whiteboard. While the post makes some decent points, it also highlights the Big-AI attitude that the AI surveillance state is in fact a good thing, and strongly implies that the Good Guys need to do war crimes before the Bad Guys get around to it. "The ability of free and democratic societies to prevail requires something more than moral appeal," one of the 22 points states. "It requires hard power, and hard power in this century will be built on software."

The book is billed as "a passionate call for the West to wake up to our new reality," and other excerpts in the social media post include assertions such as: "Free email is not enough. The decadence of a culture or civilization, and indeed its ruling class, will be forgiven only if that culture is capable of delivering economic growth and security for the public"; "National service should be a universal duty"; "The postwar neutering of Germany and Japan must be undone"; and "Some cultures have produced vital advances; others remain dysfunctional and regressive."

The statement criticizes the West's resistance to "defining national cultures in the name of inclusivity," as well as the treatment of billionaires and the "ruthless exposure of the private lives of public figures."