Author name: Mike M.

despite-everything,-us-ev-sales-are-up-28%-this-year

Despite everything, US EV sales are up 28% this year

With all the announcements from automakers planning for more gasoline and hybrid cars in their future lineups, you’d think that electric vehicles had stopped selling. While that might be increasingly true for Tesla, everyone else is more than picking up the slack. According to analysts at Rho Motion, global EV sales are up 30 percent this year already. Even here in the US, EV sales were still up 28 percent compared to 2024, despite particularly EV-unfriendly headwinds.

Getting ahead of those unfriendly winds may actually be driving the sales bump in the US, where EV sales only grew by less than 8 percent last year, for contrast. “American drivers bought 30 percent more electric vehicles than they had by this time last year, making use of the final months of IRA tax breaks before the incentives are expected to be pulled later this year,” said Charles Lester, Rho Motion data manager.

With the expected loss of government incentives and the prospect of new tariffs that will add tens of thousands of dollars to new car prices, now is probably a good time to buy an EV if you think you’re going to want or need one.

Perhaps surprisingly, growth in the much more EV-tolerant European Union was barely higher, at 29 percent for the year to date, helped by a new tax on plug-in hybrid weight in France, Rho Motion says. Both Germany and the UK EV markets have grown by 40 percent this year.

China is speeding past the rest of the world in terms of electrifying its transportation, and unsurprisingly it comes out on top in Rho Motion’s data, with 35 percent growth for the year to date compared to 2024. Looking month by month shows an even more impressive 73 percent increase year over year, thanks to where the lunar new year fell in 2024 and 2025.

Despite everything, US EV sales are up 28% this year Read More »

apple-patches-0-day-exploited-in-“extremely-sophisticated-attack”

Apple patches 0-day exploited in “extremely sophisticated attack”

Apple on Tuesday patched a critical zero-day vulnerability in virtually all iPhones and iPad models it supports and said it may have been exploited in “an extremely sophisticated attack against specific targeted individuals” using older versions of iOS.

The vulnerability, tracked as CVE-2025-24201, resides in Webkit, the browser engine driving Safari and all other browsers developed for iPhones and iPads. Devices affected include the iPhone XS and later, iPad Pro 13-inch, iPad Pro 12.9-inch 3rd generation and later, iPad Pro 11-inch 1st generation and later, iPad Air 3rd generation and later, iPad 7th generation and later, and iPad mini 5th generation and later. The vulnerability stems from a bug that wrote to out-of-bounds memory locations.

Supplementary fix

“Impact: Maliciously crafted web content may be able to break out of Web Content sandbox,” Apple wrote in a bare-bones advisory. “This is a supplementary fix for an attack that was blocked in iOS 17.2. (Apple is aware of a report that this issue may have been exploited in an extremely sophisticated attack against specific targeted individuals on versions of iOS before iOS 17.2.)”

The advisory didn’t say if the vulnerability was discovered by one of its researchers or by someone outside the company. This attribution often provides clues about who carried out the attacks and who the attacks targeted. The advisory also didn’t say when the attacks began or how long they lasted.

The update brings the latest versions of both iOS and iPadOS to 18.3.2. Users facing the biggest threat are likely those who are targets of well-funded law enforcement agencies or nation-state spies. They should install the update immediately. While there’s no indication that the vulnerability is being opportunistically exploited against a broader set of users, it’s a good practice to install updates within 36 hours of becoming available.

Apple patches 0-day exploited in “extremely sophisticated attack” Read More »

six-ways-microsoft’s-portable-xbox-could-be-a-steam-deck-killer

Six ways Microsoft’s portable Xbox could be a Steam Deck killer

Bring old Xbox games to PC

The ultimate handheld system seller.

Credit: Microsoft / Bizarre Creations

The ultimate handheld system seller. Credit: Microsoft / Bizarre Creations

Microsoft has made a lot of hay over the way recent Xbox consoles can play games dating all the way back to the original Xbox. If Microsoft wants to set its first gaming handheld apart, it should make those old console games officially available on a Windows-based system for the first time.

The ability to download previous console games dating back to the Xbox 360 era (or beyond) would be an instant “system seller” feature for any portable Xbox. While this wouldn’t be a trivial technical lift on Microsoft’s part, the same emulation layer that powers Xbox console backward compatibility could surely be ported to Windows with a little bit of work. That process might be easier with a specific branded portable, too, since Microsoft would be working with full knowledge of what hardware was being used.

If Microsoft can give us a way to play Geometry Wars 2 on the go without having to deal with finicky third-party emulators, we’ll be eternally grateful.

Multiple hardware tiers

Xbox Series S (left), next to Xbox Series X (right).

One size does not fit all when it comes to consoles or to handhelds.

Credit: Sam Machkovech

One size does not fit all when it comes to consoles or to handhelds. Credit: Sam Machkovech

On the console side, Microsoft’s split simultaneous release of the Xbox Series S and X showed an understanding that not everyone wants to pay more money for the most powerful possible gaming hardware. Microsoft should extend this philosophy to gaming handhelds by releasing different tiers of portable Xbox hardware for price-conscious consumers.

Raw hardware power is the most obvious differentiator that could set a more expensive tier of Xbox portables apart from any cheaper options. But Microsoft could also offer portable options that reduce the overall bulk (a la the Nintendo Switch Lite) or offer relative improvements in screen size and quality (a la the Steam Deck OLED and Switch OLED).

“Made for Xbox”

It worked for Valve, it can work for Microsoft.

Credit: Valve

It worked for Valve, it can work for Microsoft. Credit: Valve

One of the best things about console gaming is that you can be confident any game you buy for a console will “just work” with your hardware. In the world of PC gaming handhelds, Valve has tried to replicate this with the “Deck Verified” program to highlight Steam games that are guaranteed to work in a portable setting.

Microsoft is well-positioned to work with game publishers to launch a similar program for its own Xbox-branded portable. There’s real value in offering gamers assurances that “Made for Xbox” PC games will “just work” on their Xbox-branded handheld.

This kind of verification system could also help simplify and clarify hardware requirements across different tiers of portable hardware power; any handheld marketed as “level 2” could play any games marketed as level 2 or below, for instance.

Six ways Microsoft’s portable Xbox could be a Steam Deck killer Read More »

elon-musk-blames-x-outages-on-“massive-cyberattack”

Elon Musk blames X outages on “massive cyberattack”

After DownDetector reported that tens of thousands of users globally experienced repeated X (formerly Twitter) outages, Elon Musk confirmed the issues are due to an ongoing cyberattack on the platform.

“There was (still is) a massive cyberattack against X,” Musk wrote on X. “We get attacked every day, but this was done with a lot of resources. Either a large, coordinated group and/or a country is involved.”

Details remain vague beyond Musk’s post, but rumors were circulating that X was under a distributed denial-of-service (DDOS) attack.

X’s official support channel, which has been dormant since August, has so far remained silent on the outage, but one user asked Grok—X’s chatbot that provides AI summaries of news—what was going on, and the chatbot echoed suspicions about the DDOS attack while raising other theories.

“Over 40,000 users reported issues, with the platform struggling to load globally,” Grok said. “No clear motive yet, but some speculate it’s political since X is the only target. Outages hit hard in the US, Switzerland, and beyond.”

As X goes down, users cry for Twitter

It has been almost two years since Elon Musk declared that Twitter “no longer exists,” haphazardly rushing to rebrand his social media company as X despite critics warning that users wouldn’t easily abandon the Twitter brand.

Fast-forward to today, and Musk got a reminder that his efforts to kill off the Twitter brand never really caught on with a large chunk of his platform.

Elon Musk blames X outages on “massive cyberattack” Read More »

blood-typers-is-a-terrifically-tense,-terror-filled-typing-tutor

Blood Typers is a terrifically tense, terror-filled typing tutor

When you think about it, the keyboard is the most complex video game controller in common use today, with over 100 distinct inputs arranged in a vast grid. Yet even the most complex keyboard-controlled games today tend to only use a relative handful of all those available keys for actual gameplay purposes.

The biggest exception to this rule is a typing game, which by definition asks players to send their fingers flying across every single letter on the keyboard (and then some) in quick succession. By default, though, typing games tend to take the form of extremely basic typing tutorials, where the gameplay amounts to little more than typing out words and sentences by rote as they appear on screen, maybe with a few cute accompanying animations.

Typing “gibbon” quickly has rarely felt this tense or important.

Credit: Outer Brain Studios

Typing “gibbon” quickly has rarely felt this tense or important. Credit: Outer Brain Studios

Blood Typers adds some much-needed complexity to that basic type-the-word-you-see concept, layering its typing tests on top of a full-fledged survival horror game reminiscent of the original PlayStation era. The result is an amazingly tense and compelling action adventure that also serves as a great way to hone your touch-typing skills.

See it, type it, do it

For some, Blood Typers may bring up first-glance memories of Typing of the Dead, Sega’s campy, typing-controlled take on the House of the Dead light gun game series. But Blood Typers goes well beyond Typing of the Dead‘s on-rails shooting, offering an experience that’s more like a typing-controlled version of Resident Evil.

Practically every action in Blood Typers requires typing a word that you see on-screen. That includes basic locomotion, which is accomplished by typing any of a number of short words scattered at key points in your surroundings in order to automatically walk to that point. It’s a bit awkward at first, but quickly becomes second nature as you memorize the names of various checkpoints and adjust to using the shift keys to turn that camera as you move.

Each of those words on the ground is a waypoint that you can type to move toward.

Credit: Outer Brain Studios

Each of those words on the ground is a waypoint that you can type to move toward. Credit: Outer Brain Studios

When any number of undead enemies appear, a quick tap of the tab key switches you to combat mode, which asks you to type longer words that appear above those enemies to use your weapons. More difficult enemies require multiple words to take down, including some with armor that means typing a single word repeatedly before you can move on.

While you start each scenario in Blood Typers with a handy melee weapon, you’ll end up juggling a wide variety of projectile firearms that feel uniquely tuned to the typing gameplay. The powerful shotgun, for instance, can take out larger enemies with just a single word, while the rapid-fire SMG lets you type only the first few letters of each word, allowing for a sort of rapid fire feel. The flamethrower, on the other hand, can set whole groups of nearby enemies aflame, which makes each subsequent attack word that much shorter and faster.

Blood Typers is a terrifically tense, terror-filled typing tutor Read More »

the-x-37b-spaceplane-lands-after-helping-pave-the-way-for-“maneuver-warfare”

The X-37B spaceplane lands after helping pave the way for “maneuver warfare”

On this mission, military officials said the X-37B tested “space domain awareness technology experiments” that aim to improve the Space Force’s knowledge of the space environment. Defense officials consider the space domain—like land, sea, and aira contested environment that could become a battlefield in future conflicts.

Last month, the Space Force released the first image of Earth from an X-37B in space. This image was captured in 2024 as the spacecraft flew in its high-altitude orbit, and shows a portion of the X-37B’s power-generating solar array. Credit: US Space Force

The Space Force hasn’t announced plans for the next X-37B mission. Typically, the next X-37B flight has launched within a year of the prior mission’s landing. So far, all of the X-37B flights have launched from Florida, with landings at Vandenberg and at NASA’s Kennedy Space Center, where Boeing and the Space Force refurbish the spaceplanes between missions.

The aerobraking maneuvers demonstrated by the X-37B could find applications on future operational military satellites, according to Gen. Stephen Whiting, head of US Space Command.

“The X-37 is a test and experimentation platform, but that aerobraking maneuver allowed it to bridge multiple orbital regimes, and we think this is exactly the kind of maneuverability we’d like to see in future systems, which will unlock a whole new series of operational concepts,” Whiting said in December at the Space Force Association’s Spacepower Conference.

Space Command’s “astrographic” area of responsibility (AOR) starts at the top of Earth’s atmosphere and extends to the Moon and beyond.

“An irony of the space domain is that everything in our AOR is in motion, but rarely do we use maneuver as a way to gain positional advantage,” Whiting said. “We believe at US Space Command it is vital, given the threats we now see in novel orbits that are hard for us to get to, as well as the fact that the Chinese have been testing on-orbit refueling capability, that we need some kind of sustained space maneuver.”

Improvements in maneuverability would have benefits in surveilling an adversary’s satellites, as well as in defensive and offensive combat operations in orbit.

The Space Force could attain the capability for sustained maneuvers—known in some quarters as dynamic space operations—in several ways. One is to utilize in-orbit refueling that allows satellites to “maneuver without regret,” and another is to pursue more fuel-efficient means of changing orbits, such as aerobraking or solar-electric propulsion.

Then, Whiting said Space Command could transform how it operates by employing “maneuver warfare” as the Army, Navy and Air Force do. “We think we need to move toward a joint function of true maneuver advantage in space.”

The X-37B spaceplane lands after helping pave the way for “maneuver warfare” Read More »

measles-outbreak-hits-208-cases-as-federal-response-goes-off-the-rails

Measles outbreak hits 208 cases as federal response goes off the rails

Vitamin A is a fat-soluble vitamin that stays in the body. Taking too much over longer periods can cause vomiting, headache, fatigue, joint and bone pain, blurry vision, and skin and hair problems. Further, it can lead to dangerously high pressure inside the skull that pushes on the brain, as well as liver damage, confusion, coma, and other problems, according to the American Academy of Pediatrics.

Nevertheless, in an interview with Fox News this week, Kennedy endorsed an unconventional regimen of a steroid, an antibiotic and cod liver oil, praising two Texas doctors for giving it to patients. One of the doctors Kennedy championed was disciplined by the state medical board in 2003 for “unusual use of risk-filled medications,” according to a report by CNN.

In a yet more worrying sign, Reuters reported Friday afternoon that the CDC is planning to conduct a large study on whether the MMR vaccine is linked to autism. This taxpayer-funded effort would occur despite the fact that decades of research and numerous high-quality studies have already been conducted—and they have consistently disproven or found no connection between the vaccine and autism.

The agency’s move is exactly what Democratic senators feared when Kennedy was confirmed as the country’s top health official. In Senate hearings, Kennedy refused to say that vaccines do not cause autism. Democratic senators quickly warned that his anti-vaccine stance could not only move the country backward in the fight against vaccine-preventable diseases, but also hold back autism research aimed at finding the real cause(s) as well as better treatments.

“When you continue to sow doubt about settled science it makes it impossible for us to move forward,” Senator Maggie Hassan (D-N.H.) said in a Senate hearing. “It’s the relitigating and rehashing … it freezes us in place.”

Measles outbreak hits 208 cases as federal response goes off the rails Read More »

cmu-research-shows-compression-alone-may-unlock-ai-puzzle-solving-abilities

CMU research shows compression alone may unlock AI puzzle-solving abilities


Tis the season for a squeezin’

New research challenges prevailing idea that AI needs massive datasets to solve problems.

A pair of Carnegie Mellon University researchers recently discovered hints that the process of compressing information can solve complex reasoning tasks without pre-training on a large number of examples. Their system tackles some types of abstract pattern-matching tasks using only the puzzles themselves, challenging conventional wisdom about how machine learning systems acquire problem-solving abilities.

“Can lossless information compression by itself produce intelligent behavior?” ask Isaac Liao, a first-year PhD student, and his advisor Professor Albert Gu from CMU’s Machine Learning Department. Their work suggests the answer might be yes. To demonstrate, they created CompressARC and published the results in a comprehensive post on Liao’s website.

The pair tested their approach on the Abstraction and Reasoning Corpus (ARC-AGI), an unbeaten visual benchmark created in 2019 by machine learning researcher François Chollet to test AI systems’ abstract reasoning skills. ARC presents systems with grid-based image puzzles where each provides several examples demonstrating an underlying rule, and the system must infer that rule to apply it to a new example.

For instance, one ARC-AGI puzzle shows a grid with light blue rows and columns dividing the space into boxes. The task requires figuring out which colors belong in which boxes based on their position: black for corners, magenta for the middle, and directional colors (red for up, blue for down, green for right, and yellow for left) for the remaining boxes. Here are three other example ARC-AGI puzzles, taken from Liao’s website:

Three example ARC-AGI benchmarking puzzles.

Three example ARC-AGI benchmarking puzzles. Credit: Isaac Liao / Albert Gu

The puzzles test capabilities that some experts believe may be fundamental to general human-like reasoning (often called “AGI” for artificial general intelligence). Those properties include understanding object persistence, goal-directed behavior, counting, and basic geometry without requiring specialized knowledge. The average human solves 76.2 percent of the ARC-AGI puzzles, while human experts reach 98.5 percent.

OpenAI made waves in December for the claim that its o3 simulated reasoning model earned a record-breaking score on the ARC-AGI benchmark. In testing with computational limits, o3 scored 75.7 percent on the test, while in high-compute testing (basically unlimited thinking time), it reached 87.5 percent, which OpenAI says is comparable to human performance.

CompressARC achieves 34.75 percent accuracy on the ARC-AGI training set (the collection of puzzles used to develop the system) and 20 percent on the evaluation set (a separate group of unseen puzzles used to test how well the approach generalizes to new problems). Each puzzle takes about 20 minutes to process on a consumer-grade RTX 4070 GPU, compared to top-performing methods that use heavy-duty data center-grade machines and what the researchers describe as “astronomical amounts of compute.”

Not your typical AI approach

CompressARC takes a completely different approach than most current AI systems. Instead of relying on pre-training—the process where machine learning models learn from massive datasets before tackling specific tasks—it works with no external training data whatsoever. The system trains itself in real-time using only the specific puzzle it needs to solve.

“No pretraining; models are randomly initialized and trained during inference time. No dataset; one model trains on just the target ARC-AGI puzzle and outputs one answer,” the researchers write, describing their strict constraints.

When the researchers say “No search,” they’re referring to another common technique in AI problem-solving where systems try many different possible solutions and select the best one. Search algorithms work by systematically exploring options—like a chess program evaluating thousands of possible moves—rather than directly learning a solution. CompressARC avoids this trial-and-error approach, relying solely on gradient descent—a mathematical technique that incrementally adjusts the network’s parameters to reduce errors, similar to how you might find the bottom of a valley by always walking downhill.

A block diagram of the CompressARC architecture, created by the researchers.

A block diagram of the CompressARC architecture, created by the researchers. Credit: Isaac Liao / Albert Gu

The system’s core principle uses compression—finding the most efficient way to represent information by identifying patterns and regularities—as the driving force behind intelligence. CompressARC searches for the shortest possible description of a puzzle that can accurately reproduce the examples and the solution when unpacked.

While CompressARC borrows some structural principles from transformers (like using a residual stream with representations that are operated upon), it’s a custom neural network architecture designed specifically for this compression task. It’s not based on an LLM or standard transformer model.

Unlike typical machine learning methods, CompressARC uses its neural network only as a decoder. During encoding (the process of converting information into a compressed format), the system fine-tunes the network’s internal settings and the data fed into it, gradually making small adjustments to minimize errors. This creates the most compressed representation while correctly reproducing known parts of the puzzle. These optimized parameters then become the compressed representation that stores the puzzle and its solution in an efficient format.

An animated GIF showing the multi-step process of CompressARC solving an ARC-AGI puzzle.

An animated GIF showing the multi-step process of CompressARC solving an ARC-AGI puzzle. Credit: Isaac Liao

“The key challenge is to obtain this compact representation without needing the answers as inputs,” the researchers explain. The system essentially uses compression as a form of inference.

This approach could prove valuable in domains where large datasets don’t exist or when systems need to learn new tasks with minimal examples. The work suggests that some forms of intelligence might emerge not from memorizing patterns across vast datasets, but from efficiently representing information in compact forms.

The compression-intelligence connection

The potential connection between compression and intelligence may sound strange at first glance, but it has deep theoretical roots in computer science concepts like Kolmogorov complexity (the shortest program that produces a specified output) and Solomonoff induction—a theoretical gold standard for prediction equivalent to an optimal compression algorithm.

To compress information efficiently, a system must recognize patterns, find regularities, and “understand” the underlying structure of the data—abilities that mirror what many consider intelligent behavior. A system that can predict what comes next in a sequence can compress that sequence efficiently. As a result, some computer scientists over the decades have suggested that compression may be equivalent to general intelligence. Based on these principles, the Hutter Prize has offered awards to researchers who can compress a 1GB file to the smallest size.

We previously wrote about intelligence and compression in September 2023, when a DeepMind paper discovered that large language models can sometimes outperform specialized compression algorithms. In that study, researchers found that DeepMind’s Chinchilla 70B model could compress image patches to 43.4 percent of their original size (beating PNG’s 58.5 percent) and audio samples to just 16.4 percent (outperforming FLAC’s 30.3 percent).

Photo of a C-clamp compressing books.

That 2023 research suggested a deep connection between compression and intelligence—the idea that truly understanding patterns in data enables more efficient compression, which aligns with this new CMU research. While DeepMind demonstrated compression capabilities in an already-trained model, Liao and Gu’s work takes a different approach by showing that the compression process can generate intelligent behavior from scratch.

This new research matters because it challenges the prevailing wisdom in AI development, which typically relies on massive pre-training datasets and computationally expensive models. While leading AI companies push toward ever-larger models trained on more extensive datasets, CompressARC suggests intelligence emerging from a fundamentally different principle.

“CompressARC’s intelligence emerges not from pretraining, vast datasets, exhaustive search, or massive compute—but from compression,” the researchers conclude. “We challenge the conventional reliance on extensive pretraining and data, and propose a future where tailored compressive objectives and efficient inference-time computation work together to extract deep intelligence from minimal input.”

Limitations and looking ahead

Even with its successes, Liao and Gu’s system comes with clear limitations that may prompt skepticism. While it successfully solves puzzles involving color assignments, infilling, cropping, and identifying adjacent pixels, it struggles with tasks requiring counting, long-range pattern recognition, rotations, reflections, or simulating agent behavior. These limitations highlight areas where simple compression principles may not be sufficient.

The research has not been peer-reviewed, and the 20 percent accuracy on unseen puzzles, though notable without pre-training, falls significantly below both human performance and top AI systems. Critics might argue that CompressARC could be exploiting specific structural patterns in the ARC puzzles that might not generalize to other domains, challenging whether compression alone can serve as a foundation for broader intelligence rather than just being one component among many required for robust reasoning capabilities.

And yet as AI development continues its rapid advance, if CompressARC holds up to further scrutiny, it offers a glimpse of a possible alternative path that might lead to useful intelligent behavior without the resource demands of today’s dominant approaches. Or at the very least, it might unlock an important component of general intelligence in machines, which is still poorly understood.

Photo of Benj Edwards

Benj Edwards is Ars Technica’s Senior AI Reporter and founder of the site’s dedicated AI beat in 2022. He’s also a tech historian with almost two decades of experience. In his free time, he writes and records music, collects vintage computers, and enjoys nature. He lives in Raleigh, NC.

CMU research shows compression alone may unlock AI puzzle-solving abilities Read More »

no-one-asked-for-this:-google-is-testing-round-keys-in-gboard

No one asked for this: Google is testing round keys in Gboard

Most Android phones ship with Google’s Gboard as the default input option. It’s a reliable, feature-rich on-screen keyboard, so most folks just keep using it instead of installing a third-party option. Depending on how you feel about circles, it might be time to check out some of those alternatives. Google has quietly released an update that changes the shape and position of the keys, and users are not pleased.

In the latest build of Gboard (v15.1.05.726012951-beta-arm64-v8a), Google has changed the key shape from the long-running squares to circle shapes. If you’re using the four-row layout, the keys are like little pills. In five-row mode with the exposed number row, the keys are collapsed further into circles. The reactions seem split between those annoyed by this change and those annoyed that everyone else is so annoyed.

Change can be hard sometimes, so certainly some of the discontent is just a function of having the phone interface changed without warning. If you find it particularly distasteful, you can head into the Gboard settings and open the Themes menu. From there, you can tap on a theme and then turn off the key borders. Thus, you won’t be distracted by the horror of rounded edges. That’s not the only problem with the silent update, though.

The wave of objections isn’t just about aesthetics—this update also moves the keys around a bit. After years of tapping away on keys with a particular layout, people develop muscle memory. Big texters can sometimes type messages on their phone without even looking at it, but moving the keys around even slightly, as Google has done here, can cause you to miss more keys than you did before the update.

No one asked for this: Google is testing round keys in Gboard Read More »

china-aims-to-recruit-top-us-scientists-as-trump-tries-to-kill-the-chips-act

China aims to recruit top US scientists as Trump tries to kill the CHIPS Act


Tech innovation in US likely to stall if Trump ends the CHIPS Act.

On Tuesday, Donald Trump finally made it clear to Congress that he wants to kill the CHIPS and Science Act—a $280 billion bipartisan law Joe Biden signed in 2022 to bring more semiconductor manufacturing into the US and put the country at the forefront of research and innovation.

Trump has long expressed frustration with the high cost of the CHIPS Act, telling Congress on Tuesday that it’s a “horrible, horrible thing” to “give hundreds of billions of dollars” in subsidies to companies that he claimed “take our money” and “don’t spend it,” Reuters reported.

“You should get rid of the CHIPS Act, and whatever is left over, Mr. Speaker, you should use it to reduce debt,” Trump said.

Instead, Trump potentially plans to shift the US from incentivizing chips manufacturing to punishing firms dependent on imports, threatening a 25 percent tariff on all semiconductor imports that could kick in as soon as April 2, CNBC reported.

The CHIPS Act was supposed to be Biden’s legacy, and because he made it a priority, much of the $52.7 billion in subsidies that Trump is criticizing has already been finalized. In 2022, Biden approved $39 billion in subsidies for semiconductor firms, and in his last weeks in office, he finalized more than $33 billion in awards, Reuters noted.

Among the awardees are leading semiconductor firms, including the Taiwan Semiconductor Manufacturing Co. (TSMC), Micron, Intel, Nvidia, and Samsung Electronics. Although Trump claims the CHIPS Act is one-sided and only serves to benefit firms, according to the Semiconductor Industry Association, the law sparked $450 billion in private investments increasing semiconductor production across 28 states by mid-2024.

With the CHIPS Act officially in Trump’s crosshairs, innovation appears likely to stall the longer that lawmakers remain unsettled on whether the law stays or goes. Some officials worried that Trump might interfere with Biden’s binding agreements with leading firms already holding up their end of the bargain, Reuters reported. For example, Micron plans to invest $100 billion in New York, and TSMC just committed to spending the same over the next four years to expand construction of US chips fabs, which is already well underway.

So far, Commerce Secretary Howard Lutnick has only indicated that he will review the finalized awards, noting that the US wouldn’t be giving TSMC any new awards, Reuters reported.

But the CHIPS Act does much more than provide subsidies to lure leading semiconductor companies into the US. For the first time in decades, the law created a new arm of the National Science Foundation (NSF)—the Directorate of Technology, Innovation, and Partnerships (TIP)—which functions unlike any other part of NSF and now appears existentially threatened.

Designed to take the country’s boldest ideas from basic research to real-world applications as fast as possible to make the US as competitive as possible, TIP helps advance all NSF research and was supposed to ensure US leadership in breakthrough technologies, including AI, 6G communications, biotech, quantum computing, and advanced manufacturing.

Biden allocated $20 billion to launch TIP through the CHIPS Act to accelerate technology development not just at top firms but also in small research settings across the US. But as soon as the Department of Government Efficiency (DOGE) started making cuts at NSF this year, TIP got hit the hardest. Seemingly TIP was targeted not because DOGE deemed it the least consequential but simply because it was the youngest directorate at NSF with the most workers in transition when Trump took office and DOGE abruptly announced it was terminating all “probationary” federal workers.

It took years to get TIP ready to flip the switch to accelerate tech innovation in the US. Without it, Trump risks setting the US back at a time when competitors like China are racing ahead and wooing US scientists who suddenly may not know if or when their funding is coming, NSF workers and industry groups told Ars.

Without TIP, NSF slows down

Last month, DOGE absolutely scrambled the NSF by forcing arbitrary cuts of so-called probationary employees—mostly young scientists, some of whom were in transition due to promotions. All those cuts were deemed illegal and finally reversed Monday by court order after weeks of internal chaos reportedly stalling or threatening to delay some of the highest-priority research in the US.

“The Office of Personnel Management does not have any authority whatsoever under any statute in the history of the universe to hire and fire employees at another agency,” US District Judge William Alsup said, calling probationary employees the “life blood” of government agencies.

Ars granted NSF workers anonymity to discuss how cuts were impacting research. At TIP, a federal worker told Ars that one of the probationary cuts in particular threatened to do the most damage.

Because TIP is so new, only one worker was trained to code automated tracking forms that helped decision-makers balance budgets and approve funding for projects across NSF in real time. Ars’ source likened it to holding the only key to the vault of NSF funding. And because TIP is so different from other NSF branches—hiring experts never pulled into NSF before and requiring customized resources to coordinate projects across all NSF fields of research—the insider suggested another government worker couldn’t easily be substituted. It could take possibly two years to hire and train a replacement on TIP’s unique tracking system, the source said, while TIP’s (and possibly all of NSF’s) efficiency is likely strained.

TIP has never been fully functional, the TIP insider confirmed, and could be choked off right as it starts helping to move the needle on US innovation. “Imagine where we are in two years and where China is in two years in quantum computing, semiconductors, or AI,” the TIP insider warned, pointing to China’s surprisingly advanced AI model, DeepSeek, as an indicator of how quickly tech leadership in global markets can change.

On Monday, NSF emailed all workers to confirm that all probationary workers would be reinstated “right away.” But the damage may already be done as it’s unclear how many workers plan to return. When TIP lost the coder—who was seemingly fired for a technicality while transitioning to a different payscale—NSF workers rushed to recommend the coder on LinkedIn, hoping to help the coder quickly secure another opportunity in industry or academia.

Ars could not reach the coder to confirm whether a return to TIP is in the cards. But Ars’ source at TIP and another NSF worker granted anonymity said that probationary workers may be hesitant to return because they are likely to be hit in any official reductions in force (RIFs) in the future.

“RIFs done the legal way are likely coming down the pipe, so these staff are not coming back to a place of security,” the NSF worker said. “The trust is broken. Even for those that choose to return, they’d be wise to be seeking other opportunities.”

And even losing the TIP coder for a couple of weeks likely slows NSF down at a time when the US seemingly can’t afford to lose a single day.

“We’re going to get murdered” if China sets the standard on 6G or AI, the TIP worker fears.

Rivals and allies wooing top US scientists

On Monday, six research and scientific associations, which described themselves as “leading organizations representing more than 305,000 people in computing, information technology, and technical innovation across US industry, academia, and government,” wrote to Congress demanding protections for the US research enterprise.

The groups warned that funding freezes and worker cuts at NSF—and other agencies, including the Department of Energy, the National Institute of Standards & Technology, the National Aeronautics and Space Administration, the National Institutes of Health—”have caused disruption and uncertainty” and threaten “long-lasting negative consequences for our competitiveness, national security, and economic prosperity.”

Deeming America’s technology leadership at risk, the groups pointed out that “in computing alone, a federal investment in research of just over $10 billion annually across 24 agencies and offices underpins a technology sector that contributes more than $2 trillion to the US GDP each year.” Cutting US investment “would be a costly mistake, far outweighing any short-term savings,” the groups warned.

In a separate statement, the Computing Research Association (CRA) called NSF cuts, in particular, a “deeply troubling, self-inflicted setback to US leadership in computing research” that appeared “penny-wise and pound-foolish.”

“NSF is one of the most efficient federal agencies, operating with less than 9 percent overhead costs,” CRA said. “These arbitrary terminations are not justified by performance metrics or efficiency concerns; rather, they represent a drastic and unnecessary weakening of the US research enterprise.”

Many NSF workers are afraid to speak up, the TIP worker told Ars, and industry seems similarly tight-lipped as confusion remains. Only one of the organizations urging Congress to intervene agreed to talk to Ars about the NSF cuts and the significance of TIP. Kathryn Kelley, the executive director of the Coalition for Academic Scientific Computation, confirmed that while members are more aligned with NSF’s Directorate for Computer and Information Science and Engineering and the Office of Advanced Cyberinfrastructure, her group agrees that all NSF cuts are “deeply” concerning.

“We agree that the uncertainty and erosion of trust within the NSF workforce could have long-lasting effects on the agency’s ability to attract and retain top talent, particularly in such specialized areas,” Kelley told Ars. “This situation underscores the need for continued investment in a stable, well-supported workforce to maintain the US’s leadership in science and innovation.”

Other industry sources unwilling to go on the record told Ars that arbitrary cuts largely affecting the youngest scientists at NSF threatened to disrupt a generation of researchers who envisioned long careers advancing US tech. There’s now a danger that those researchers may be lured to other countries heavily investing in science and currently advertising to attract displaced US researchers, including not just rivals like China but also allies like Denmark.

Those sources questioned the wisdom of using the Elon Musk-like approach of breaking the NSF to rebuild it when it’s already one of the leanest organizations in government.

Ars confirmed that some PhD programs have been cancelled, as many academic researchers are already widely concerned about delayed or cancelled grants and generally freaked out about where to get dependable funding outside the NSF. And in industry, some CHIPS Act projects have already been delayed, as companies like Intel try to manage timelines without knowing what’s happening with CHIPS funding, AP News reported.

“Obviously chip manufacturing companies will slow spending on programs they previously thought they were getting CHIPS Act funding for if not cancel those projects outright,” the Semiconductor Advisors, an industry group, forecasted in a statement last month.

The TIP insider told Ars that the CHIPS Act subsidies for large companies that Trump despises mostly fuel manufacturing in the US, while funding for smaller research facilities is what actually advances technology. Reducing efficiency at TIP would likely disrupt those researchers the most, the TIP worker suggested, proclaiming that’s why TIP must be saved at all costs.

Photo of Ashley Belanger

Ashley is a senior policy reporter for Ars Technica, dedicated to tracking social impacts of emerging policies and new technologies. She is a Chicago-based journalist with 20 years of experience.

China aims to recruit top US scientists as Trump tries to kill the CHIPS Act Read More »

elon-musk-loses-initial-attempt-to-block-openai’s-for-profit-conversion

Elon Musk loses initial attempt to block OpenAI’s for-profit conversion

A federal judge rejected Elon Musk’s request to block OpenAI’s planned conversion from a nonprofit to for-profit entity but expedited the case so that Musk’s core claims can be addressed in a trial before the end of this year.

Musk had filed a motion for preliminary injunction in US District Court for the Northern District of California, claiming that OpenAI’s for-profit conversation “violates the terms of Musk’s donations” to the company. But Musk failed to meet the burden of proof needed for an injunction, Judge Yvonne Gonzalez Rogers ruled yesterday.

“Plaintiffs Elon Musk, [former OpenAI board member] Shivon Zilis, and X.AI Corp. (‘xAI’) collectively move for a preliminary injunction barring defendants from engaging in various business activities, which plaintiffs claim violate federal antitrust and state law,” Rogers wrote. “The relief requested is extraordinary and rarely granted as it seeks the ultimate relief of the case on an expedited basis, with a cursory record, and without the benefit of a trial.”

Rogers said that “the Court is prepared to offer an expedited schedule on the core claims driving this litigation [to] address the issues which are allegedly more urgent in terms of public, not private, considerations.” There would be important public interest considerations if the for-profit shift is found to be illegal at a trial, she wrote.

Musk said OpenAI took advantage of him

Noting that OpenAI donors may have taken tax deductions from a nonprofit that is now turning into a for-profit enterprise, Rogers said the court “agrees that significant and irreparable harm is incurred when the public’s money is used to fund a non-profit’s conversion into a for-profit.” But as for the motion to block the for-profit conversion before a trial, “The request for an injunction barring any steps towards OpenAI’s conversion to a for-profit entity is DENIED.”

Elon Musk loses initial attempt to block OpenAI’s for-profit conversion Read More »

trump’s-25%-tariffs-take-effect;-canadian-pm-calls-it-“a-very-dumb-thing”

Trump’s 25% tariffs take effect; Canadian PM calls it “a very dumb thing”

President Trump’s 25 percent tariffs on Canada and Mexico took effect today, and the White House increased a tariff on China from 10 to 20 percent in an executive order. Canada, Mexico, and China announced retaliatory moves, and stock markets sank globally.

Industry groups and companies have warned the Trump tariffs will raise prices for cars, groceries, consumer technology, and other products.

Canada was hit with a 10 percent tariff on energy exports to the US, while other Canadian exports are subject to the 25 percent tariff. Prime Minister Justin Trudeau said his country would impose 25 percent tariffs on over $100 billion worth of US goods.

China responded with new tariffs of 10 to 15 percent on US agricultural products starting March 10 and other retaliatory moves such as blacklisting 15 US companies. Mexican President Claudia Sheinbaum said she will announce retaliatory tariffs and other measures on Sunday.

“There’s no motive, reason or justification that supports this decision that will affect our people and nations,” Sheinbaum reportedly said at a news conference. “We will always seek a negotiated solution, in a framework of respect.” Sheinbaum said Mexico wants “dialogue, with reasoning and rationality.”

Trudeau: Trump tariffs “a very dumb thing to do”

Trudeau said that Trump imposing tariffs is “a very dumb thing to do” and that Canada “will not back down from a fight.” Addressing US residents, Trudeau said, “We don’t want this, but your government has chosen to do this to you.”

Trump’s executive orders have blamed Canada for “the flow of illicit drugs across our northern border,” Mexico for a “sustained influx of illegal aliens and illicit opioids and other drugs,” and China for a “sustained influx of synthetic opioids, including fentanyl.”

Trump’s 25% tariffs take effect; Canadian PM calls it “a very dumb thing” Read More »