In meetings last week, White House officials told executives from Anthropic, Google and OpenAI about some of those plans, people briefed on the conversations said. The working group is likely to consider a number of oversight approaches, officials said. But a review process could be similar to one being developed in Britain, which has assigned several government bodies to ensure that A.I. models meet certain safety standards, people in the tech industry and the administration said.

The discussions signal a stark reversal in the Trump administration’s approach to A.I. Since returning to office last year, Mr. Trump has been a major booster of the technology, which he has said is vital to winning the geopolitical contest against China. Among other moves, he swiftly rolled back a Biden administration regulatory process that asked A.I. developers to perform safety evaluations and report on A.I. models with potential military applications. “We’re going to make this industry absolutely the top, because right now it’s a beautiful baby that’s born,” Mr. Trump said of A.I. at an event in July. “We have to grow that baby and let that baby thrive. We can’t stop it. We can’t stop it with politics. We can’t stop it with foolish rules and even stupid rules.” Mr. Trump left room for some rules, but he added that “they have to be more brilliant than even the technology itself.”

The White House wants to avoid any political repercussions if a devastating A.I.-enabled cyberattack were to occur, people in the tech industry and the administration said. The administration is also evaluating whether new A.I. models could yield cyber-capabilities that could be useful to the Pentagon and U.S. intelligence agencies, they said. To get ahead of models like Mythos, some officials are pushing for a review system that would give the government first access to A.I. models, but that would not block their release, people briefed on the talks said.

A new, bipartisan bill introduced (PDF) by Democratic Senator of California Adam Schiff and endorsed by the biggest AI developers in the world — including OpenAI, Google, and Microsoft — would change the K-12 curriculum to shoehorn in “AI literacy,” something that young people and teachers alike already hate in schools. The Literacy in Future Technologies Artificial Intelligence, or LIFT AI Act, would empower the new director of the National Science Foundation (NSF) to make grant awards “on a merit-reviewed, competitive basis to institutions of higher education or nonprofit organizations (or a consortium thereof) to support research activities to develop educational curricula, instructional material, teacher professional development, and evaluation methods for AI literacy at the K-12 level,” the bill says.

It defines AI literacy as using AI; specifically, “having the age-appropriate knowledge and ability to use artificial intelligence effectively, to critically interpret outputs, to solve problems in an AI-enabled world, and to mitigate potential risks.” The bill is endorsed by the American Federation of Teachers, Google, OpenAI, Information Technology Industry Council, Software & Information Industry Association, Microsoft, and HP Inc. […] The grant would support “AI literacy evaluation tools and resources for educators assessing proficiency in AI literacy,” according to the bill. It would also fund “professional development courses and experiences in AI literacy,” and the development of “hands-on learning tools to assist in developing and improving AI literacy.” Most importantly for real-world implications, it would fund changing the existing curriculum “to incorporate AI literacy where appropriate, including responsible use of AI in learning.”

There will be 16GB configurations available for each, but adding a lower-spec model could mean the 16GB version is getting a price hike. However, the silver lining is that the specs from MysticLeaks also include camera upgrades and brighter displays for the Pro models. The RAM shortage is pushing other phone makers, including Samsung, to raise prices, too.

Welcome to the modern era of podcasting in which thousands of new shows are released into the world every day with a sizable portion likely being AI-generated. Figuring out exactly which ones fall into that growing category is becoming more difficult just as the industry is starting to take this issue seriously. In only the past month or so, Amazon launched a feature that explains a product by generating a quasi-podcast, complete with co-hosts talking to each other and taking questions from users. Shout out to Business Insider reporter Katie Notopoulos for spotting this (and, naturally, demoing it with an adult diaper rash-cream). Not long ago, Nicholas Thompson, chief executive officer of the Atlantic, noted “podslop” dominated his Spotify search results when he typed in the word “Sora.” This was around the time that OpenAI shut down its user-generated, AI-content-only app.

[…] All of which raises some big, difficult questions. For one, what should the listening platforms do about this incursion? As of right now, Apple Podcasts requires creators who generated a “material portion” of their show using AI to disclose it. The platform also bans misleading or deceptive content. Spotify hasn’t published any specific guidelines around AI, though it maintains general rules around dangerous and misleading content. Where this conversation gets even trickier is when it comes to money. Many of these podcasts are hosted on at least one free service that allows programs to opt into their ad marketplace with zero barrier to entry, meaning these shows (and the hosting service) profit off every listen or download. Spreaker, a company owned by iHeartMedia, is the primary one to watch here. Though it tells users to disclose when they rely on AI, it still allows those shows to opt into its programmatic ad marketplace, which pays creators 60% of the revenue generated by the ads placed in their shows. It stands to reason that most of these thousands of shows don’t reach many people. But in the aggregate, the ears and dollars could add up. Are the advertisers on board with being next to AI-generated content, some of which might be deemed “slop?”

Cohen said GameStop has a commitment letter from TD Bank to provide up to $20 billion in debt financing to help make a deal possible. GameStop delivered an offer letter to eBay on Sunday and released a copy of it following the Journal’s report on the details of the bid. Cohen wrote in the letter to eBay Chairman Paul Pressler that GameStop started building its eBay position on Feb. 4. It said its offer consists of 50% cash and 50% GameStop shares.

EBay said Monday morning its board and financial advisers would review GameStop’s unsolicited proposal. It said there were no discussions with or outreach from GameStop before receiving the offer. Ebay added that it will review the offer “with a focus on the value to be delivered to eBay shareholders, including the value of the GameStop stock consideration and the ability of GameStop to deliver a binding, actionable proposal.”

If eBay isn’t receptive, Cohen said he was prepared to run a proxy fight and take the offer directly to its shareholders. The window for shareholders to nominate director candidates at eBay ahead of an annual meeting scheduled for this June has already closed, according to the company’s proxy materials. Cohen told the Journal that putting his videogame retailer and eBay under one roof could create opportunities to cut costs and improve earnings. The two companies have some overlap already, including a focus on selling collectibles such as trading cards. “There is nobody who is more qualified, based on my experience, to run the eBay business,” Cohen said, referencing his time at GameStop and previously Chewy, the online pet-products marketplace he co-founded.

In a timely publication for May 4, also known as Star Wars Day, scientists have identified nearly 30 more candidate planets, whose distances range from 650 to 18,000 light years away from Earth. […] More than half of the stars in the universe exist in binary or multiple star systems. The researchers instead used a method known as “apsidal precession,” searching for a wobble between stars that orbit around and eclipse each other.

“If we monitor the exact timing of these eclipses … that can tell us that there’s something else going on in the system,” said Margo Thornton, the study’s lead author and a PhD candidate at UNSW. After eliminating other factors such as the rotation and gravitational pull of the two stars, the team identified 36 star systems out of 1,590 whose behavior could only be explained by a third body. For “27 of those objects, it is possible that they are planet mass,” Thornton said.

More research into their spectra — the light they emit — was needed to formally confirm them as circumbinary planets, she said. “It’s just a matter of: what is the mass of it? Is it a planet? Is it a brown dwarf? Is it a star?” The team discovered the potential planets — which likely range from Neptune-sized to ten times heavier than Jupiter — using data from Nasa’s Transiting Exoplanet Survey Satellite, a planet-hunting space telescope that launched in 2018.

In a makeshift demonstration kitchen in Concord, California, cooking oil splatters in and around a frying pan, which catches fire on an unattended gas stove. Within moments, a smoke detector wails. But in this demonstration, something less common happens: An AI-driven sensor activates and wall emitters blast infrasound waves toward the source of the fire in an attempt to put it out. The science of acoustic fire suppression, which has long been known and documented in scientific literature and the press, works by vibrating oxygen molecules away from a fuel source, depriving the fire of a critical component needed for combustion. Indeed, after just a few seconds of infrasound, the tiny kitchen blaze goes out.

“We were able to not just point-and-shoot like a fire extinguisher; we figured out how to run it through ducting and distribute it like a sprinkler system,” said Geoff Bruder, co-founder and CEO of Sonic Fire Tech, during the presentation. The company’s goal is to replace sprinklers, which are effective at stopping fires but can also do significant water damage to a property. Sonic Fire Tech appears to be the first company trying to commercialize the science of acoustic fire suppression. Its executives have already been touring Southern California; Wednesday’s event was the first in the northern half of the state.

The company aims to make this infrasound technique mainstream in both commercial (for instance, a data center, where sprinklers would damage electronics) and in-home installations, given that sprinklers are already required in all new California homes built in 2011 and later. Sonic Fire Tech also hopes to produce a backpack-based system that could be worn by wildland firefighters headed out into the field. “We are making meaningful technological improvements on a monthly basis,” Stefan Pollack, a company spokesperson, emailed Ars after the event. But two experts who spoke with Ars raised serious questions about the potential for this technology to supplant traditional sprinklers in a home. They are even more skeptical as to whether the technique can be effective in an uncontrolled wildfire situation, where flames can grow very quickly.

Parents also said they had caught their children drawing on facial hair in a bid to evade the technology. One mother said: “I did catch my son using an eyebrow pencil to draw a moustache on his face, and it verified him as 15 years old”… From a sample of 1,000 UK children, 46% said they believed age checks are easy to bypass, while 32% admitted to having done so.

[T]he scale and structure of the recent AI deals go beyond standard incentive mechanisms… When a seller pays customers to buy its products, it is unclear if its revenue growth reflects vibrant demand or a willingness to accept subsidies.

This warning comes from a prominent figure in the investing community. For six years Robert Pozen was chairman of America’s oldest mutual fund company, after five years at Fidelity. An advocate for corporate governance, he’s currently a lecturer at MIT’s business school (and the author of the book Remote Inc.: How to Thrive at Work…Wherever You Are). “As AI companies prepare initial public offerings, investors should scrutinize their numbers closely,” Pozner writes, warning about “time-limited financial support”.

Private-equity firms, enticed by promised returns, might demand rapid rollouts of AI products, rather than ensuring their orderly and safe development. Portfolio companies of private-equity firms may embrace AI tools not because they are needed but because adoption is mandated by their owners. Consultants may favor one set of AI models based on the subsidy instead of the merits.

If guarantees and subsidies are major factors in the rapid adoption of AI tools, investors should be skeptical of AI companies’ revenue projections. Many of their customers enticed by consultants will stop paying full price when the financial incentives are gone. Many of the portfolio companies of private-equity firms could back away from selected AI tools once these joint ventures expire. The challenge with evaluating these AI financing deals is the lack of transparency. At present, AI vendors don’t separate revenue driven by subsidies or joint ventures from standard sales.

The lesson from the telecom debacle is that financial engineering can obscure, for years, the difference between real customer demand and demand driven by incentives. When AI companies begin to finance their own product distribution, guaranteeing returns to investors and subsidizing sales, it’s a signal for investors to dig deeper.

Roblox cut its full-year 2026 bookings forecast by roughly $900 million at the midpoint on Thursday, blaming stronger-than-expected headwinds from its mandatory age-verification rollout on an audience that skews heavily toward children and teenagers. Full-year 2026 bookings are now projected at $7.33 billion to $7.60 billion, a range that sits roughly $900 million below the prior guidance of $8.28 billion to $8.55 billion; analysts had expected $8.38 billion, according to Yahoo Finance. Roblox stock fell almost 22% in premarket trading....

Daily active users rose 35% year over year to 132 million, while hours engaged climbed 43% to 31 billion hours… Daily Active Users and hours engaged fell below forecasts of 143.8 million and 33.68 billion, respectively, according to Yahoo Finance… Users who have not completed age checks have faced restricted communication features, and the process has weighed on the platform’s ability to bring in new users. Russia’s blocking of the platform, which took effect in December 2025, added further drag on user growth, according to Yahoo Finance. As of the end of the first quarter, 51% of global daily active users had completed age verification, with 65% of U.S. users having done so, Roblox said....

The safety push has come with legal costs. Roblox accrued $57 million in the first quarter for settlements and settlement proposals with certain states over youth-related consumer protection and digital safety matters, with payments structured over multiple years, the company said.

In addition to play changes it’s left for players to discover, this version updates the code to compile with C99, makes it much easier to cross compile the code for other systems than the one running, and now uses Lua for its dungeon generation. Happy hacking!

Three systems binaries are provided: Windows, MS-DOS and Amiga. Yes, Nethack still supports MS-DOS, and yes, it still supports classic Amiga: it explicitly supports AmigaDOS 3.0, meaning it can still run on 68000 machines… That these are the only systems they provide binaries for shouldn’t be seen as an indication that these are the “most important” platforms for Nethack, it’s more that, since it’s entirely open source, building it yourself is entirely possible, and more expected than with most software. Nethack can be built for Linux, Windows 8-11, AmigaDOS, MacOS (I’m not sure if this includes classic Mac too but it might), Windows CE (wow), OS/2 (additional wow), BeOS, VMS and multiple Unixes… Another option is to play through public Nethack servers. The most popular of these are probably alt.org and Hardfought.

OpenAI introduced AI-generated pets to the Codex app, its agentic tool that helps with coding. These “optional animated companions” don’t do any coding themselves, but serve as a floating overlay that can tell you what Codex is working on, notify you when Codex completes a task or whether it needs your input on something. The new feature lets developers see Codex’s active thread, without having to switch away from your current open app.

Users can prompt Codex directly to generate their own companion, then share it online. A quick scroll through the homepage reveals the community has already gotten to work. Current creations include Goku, Patrick Star, Microsoft’s long-retired Clippy, OpenAI CEO Sam Altman, Anthropic CEO Dario Amodei, and — naturally — a goblin.

On a March afternoon, artificial intelligence detected something resembling smoke on a camera feed from Arizona’s Coconino National Forest. Human analysts verified it wasn’t a cloud or dust, then alerted the state’s forest service and largest electric utility. One of dozens of AI cameras installed for the utility Arizona Public Service had spotted early signs of what came to be known as the Diamond Fire. Firefighters raced to the scene and contained the blaze before it grew past 7 acres (2.8 hectares).

As record-breaking heat and an abysmal snowpack raise concerns about severe wildfires, states across the fire-prone West are adding AI to their wildfire detection toolbox, banking on the technology to help save lives and property. Arizona Public Service has nearly 40 active AI smoke-detection cameras and plans to have 71 by summer’s end, and the state’s fire agency has deployed seven of its own. Another utility, Xcel Energy in Colorado, has installed 126 and aims to have cameras in seven of the eight states it serves by year’s end… ALERTCalifornia is a network of some 1,240 AI-enabled cameras across the Golden State that work similar to the system in Arizona....

Pano AI, whose technology combines high-definition camera feeds, satellite data and AI monitoring, has seen a growing interest in its cameras since launching in 2020. They’ve been deployed in Australia, Canada and 17 U.S. states, including Oregon, Washington and Texas… Last year, its technology detected 725 wildfires in the U.S., the company said… Cindy Kobold, an Arizona Public Service meteorologist, said the technology notifies them about 45 minutes faster on average than the first 911 call.