An appeals court in California has resurrected a 2022 lawsuit over claims Apple convinced them not to use a third-party repair service to fix cracked iPhone screens.

In the last few years, Apple has been more open to enabling repairs of its hardware performed outside of its support ecosystem. While its position has relaxed a lot, it still has to deal with its policies from prior years.

A filing for the Court of Appeal for the State of California in August reveals a panel has reversed an earlier court’s ruling to quash a lawsuit over Apple’s repair policies. The three-judge appeals Sixth Appellate District panel has brought the lawsuit back to life.

In 2022, plaintiffs Jesse Granato and Janice Zarad said they were told by an Apple employee in 2021 that using a third-party repair service would void their warranty coverage. The Courthouse News Service reports the plaintiffs claim this encouraged them to pay for a screen repair through Apple itself.

The lawsuit accused Apple of inflating the cost of independent repairs in various ways, including withholding parts, manuals, and software. It also allegedly conditioned warranties on using authorized repair shops.

A Santa Clara Superior Court judge agreed with Apple’s response that the lawsuit lacked standing under the state’s unfair competition law. Something the Court of Appeal overturned in 2026.

Repairing the lawsuit

In the unanimous decision, the judges explain that, as pleaded, Apple’s practices at the time “substantially injure consumers by allowing Apple to extract inflated payments for repairs or to increase demand for new products by incentivizing replacement over repair.”

The plaintiffs also couldn’t identify any benefit to Apple’s repair policies that outweighed the harm they caused, wrote acting presiding Associate Justice Cynthia Lie.

The panel decided that the plaintiffs had adequately pleaded under the unfair competition claim.

The plaintiffs also attempted to claim that Apple had violated the California 2024 Right to Repair Act, which Apple actually backed. However, the panel pointed out that the law was enacted after the initial suit was filed.

There was also an alleged violation of the 1975 Magnuson-Moss Warranty Act, by Apple allegedly refusing and instructing authorized repair shops to refuse in-warranty services, if repairs were performed elsewhere outside of any warranty.

However, while Lie explains the plaintiffs hadn’t adequately managed to claim the violation of the law, it was ruled that the claims violated the spirit of the law.

The case, revived, has been remanded to a lower court.

The introduction of optical media in the form of CDs meant a revolution in the world of gaming consoles, escaping the restrictions of a few dozen MB of storage and instead offering a theoretically infinite amount of storage through the miracle and tedium of swapping discs. After the SNES narrowly escaped getting a CD add-on and the N64 doubled down on cartridges, we can now at least get an impression of what it’d be like if the Nintendo Entertainment System had been gifted a CD add-on back in the 1980s, courtesy of a project by [Throaty Mumbo].

There’s also an accompanying video containing typical hijinks and a demonstration of this system. Initially [Throaty Mumbo] was going to make a SNES CD add-on to match that console’s initial prototype, but doing it for the NES seemed more fun. Obviously, since the NES is quite limited hardware-wise it was always going to be a struggle, even if the original front-loading NES conveniently has a mostly unused expansion slot.

On the custom PCB there is an RP2350B microcontroller that mediates between an Everdrive N8 Pro cartridge and an IDE CD drive, along with a PCM5102 audio DAC. The expansion port is hereby used to receive the audio samples on its audio mix input pin, along with power. After boot the game ROM is read off the CD by the MCU and streamed over USB to the Everdrive.

Combined with the previous work [Throaty Mumbo] did to revive the long-defunct Japanese online service for the NES, it’s an exciting time for fans of the iconic console.

In the very first moments of the universe, matter didn’t exist as we know today. A millionth of a second or so after the big bang, the universe was a dense, hot soup scientists call quark-gluon plasma (QGP). For several years, particle colliders—which smash molecules together at nearly the speed of light—have been able to replicate this state, but often using heavy elements like lead.

Now, a recent experiment by the European Organization for Nuclear Research (also known as CERN from its French acronym) has demonstrated this plasma can be produced by much smaller collisions. Since there’s no longer an accessible natural source of this primordial sludge, these micro big bangs can help reveal what happened in the first few minutes of our universe.

First, a little context. Quarks are what make up protons and neutrons, which, in turn, are the building blocks of atoms and thus all matter. Meanwhile, gluons—as their name suggests—stick quarks together.

During the first microseconds of the universe, quarks and gluons were not yet confined within protons and neutrons but instead formed an extremely hot plasma. As the universe expanded, the matter cooled, and the quarks condensed into larger particles.

After decades of studying QGP in large nuclear collisions, physicists are now trying to understand the limits of this strange state of matter. In particular, they are exploring just how much they can scale down a collision and still observe a collection of particles that behaves like a drop of fluid.

According to a recent article in Physical Review Letters, CERN and an international team of collaborators were able to generate the substance using oxygen-16 and neon-20. Both are less than a tenth of the weight of a lead atom, which was previously considered one of the lightest elements capable of generating QGP.

“We have pushed the boundary for how small the atomic nuclei can be while still re-creating this primordial matter—what you could call a ‘little big bang.’ We now know more about the fundamental conditions required for matter to transition into this extreme state,” You Zhou, a researcher at the Niels Bohr Institute in the Netherlands and a coauthor of the study, explained in a press release.

The scientists found that, despite the small size of the oxygen and neon nuclei, the collisions produced signals consistent with the behavior they expected to find in QGP. For an instant, the generated matter appeared to expand collectively like a fluid before cooling and reverting to particles.

“Hopefully, this will help us better understand how the plasma behaved during the first moments of the universe—and how it later evolved into the forms of matter that everything around us is made of,” Zhou added.

This story originally appeared on WIRED en Español and has been translated from Spanish.

The Internet Archive has a habit of preserving unique things, ones that nobody else thought about, and its newest collection is the best example yet. I’d say it’s one that every AI historian should bookmark.

Curated under the title “Vintage Artificial Intelligence,” the collection contains decades of software that tried to convince people that they were talking to a thinking machine (though with wildly varying success).

So what exactly is in this new collection?

Created by Jason Scott, the new collection gathers emulated software from the 1970s through the 1990s. All of them are playable directly in a browser. While none of them actually think in any real sense, the idea is how convincing these decades-old programs can be at simulating the experience of talking to a real person. 

Out of all the entries in the collection, ELIZA anchors the set. Joseph Weizenbaum’s DOCTOR script, which was originally built to mimic a therapist, worked so well that early users reportedly opened up to it as if it were a real person, a trick that still deserves some credit even decades later. 

The software was rewritten so many times that the archive holds dozens of versions. Then there’s Racter, a commercial chatbot from 1985 that went well beyond conversation. It generated full passages of prose, and some of them were so strange that they ended up in published work. Consider it an eerie prequel to what LLMs can do today. 

How do you actually try it?

Beyond the chatbots, Activision’s Alter Ego walks you through simulated life stages as a psychologist-designed decision game. On the other hand, Little Computer People, built by Pitfall! creator David Crane, imagines what it would be like if tiny people were secretly living inside your machine. If you ask me, it was oddly ahead of its time. 

Suspended splits a cryogenically frozen player’s mind across six separate robots. Each one handles a different task alone, a structure that feels startlingly familiar today. The collection also pays homage to early autonomous agent games like Robot War, where players pre-programmed warriors to battle automatically.

If you’re curious, just poke around the collection directly on Internet Archive’s site right now. It doesn’t require any downloads or setup. Everything runs through in-browser emulation. It’s a genuinely fun way to trace how today’s AI conversations started decades before they got complicated, and well worth losing an afternoon to.

The big news today is, of course, the successful launch and deployment of NASA’s Nancy Grace Roman Space Telescope earlier this morning. The space agency’s latest observatory lifted off at 7:26 AM Eastern from Launch Complex 39A at Kennedy Space Center aboard a SpaceX Falcon Heavy, and by 8:00 AM it was separated from the rocket’s upper stage and flying on its own.

While the sound and fury of launch is exciting, it’s just the beginning of the journey for Roman. It will take several months for the spacecraft to complete its roughly 1.5 million-kilometer trek out to Earth’s second Lagrange point (L2), where it will set up shop near — in cosmic terms, anyway — the James Webb Space Telescope (JWST). Along the way, it will switch on and test various systems and components, with its primary 300 megapixel infrared camera scheduled to power up in three weeks or so.

There’s a lot to cover about the Roman Space Telescope. Built from spy satellite spare parts donated by the National Reconnaissance Office and featuring a field of view 100 times greater than that of Hubble, its launch is widely considered to be one of the most important scientific milestones of the decade. We’ll be bringing you more about the past, present, and future of this flagship mission as it progresses.

From real space missions to virtual ones, this week the developers of EVE Online announced that 2.4 million lines of code that keep the massively multiplayer online role-playing game running would finally be making the switch to Python 3. Given the immense complexity of the codebase, it’s been stuck at Python 2.7 since their last overhaul back in 2010, a situation which has become increasingly difficult to manage as time goes on.

The announcement goes into a surprising amount of depth about the state of Python in EVE. We imagine most players couldn’t care less, but naturally the developers have strong feelings about the situation and perhaps thought it would benefit others in a similar situation to get their thoughts out there.

While there’s certainly an argument to be made that the only justification they really need for making the migration is that 2.7 hit end-of-life back in 2020, the developers explain that the more immediate problem for them was that various tools and libraries they wanted to use were no longer compatible with the Python 2.x series. They also point out hopes that speed improvements made in the latest version of Python will eventually translate into better game performance down the road.

In more terrestrial news, this week the necessary regulatory amendments were passed to make plug-in solar systems legal in the United Kingdom. Assuming the wiring meets the necessary requirements, consumers can pick up the hardware and install it themselves without involving an electrician, although they may still need to contend with landlords and local ordinances that may limit their ability to physically mount the panels. The rules as they stand now allow each residence to have four panels with a total combined output rating of no more than 2,000 watts, although critically, the system is only allowed to generate a maximum of 800 watts at the inverter. As the government and consumers get more comfortable with plug-in solar systems, these numbers will likely increase over time.

Solar isn’t the only area where DIY approaches are moving into the mainstream. This week, Citrix pitched a “different approach to endpoint resiliency”: an isolated Linux-based operating system called UniconOS that users can boot into should the computer’s primary Windows installation become compromised or otherwise inoperable. The idea is that an independent, read-only backup OS kept on its own partition will reduce downtime, since the computer can still be used while IT figures out what the hell happened.

This solution will sound suspiciously familiar to anyone who’s booted a live Linux system from CD/DVD/USB in the last few decades. Try not to keep yourself up all night wondering why you never pitched the idea to some hungry venture capitalists in exchange for a yacht in the Bahamas.

Finally, on the theme of new technology embracing the old ways, we bring you Defrag98, a web reincarnation of Microsoft’s dial-up era Disk Defragmenter tool. While it won’t actually improve the performance of your modern solid-state drive, you may find your own mood boosted by the wave of nostalgia when you see — and hear — the classic tool go to work.

That’s right, not only do the blocks dutifully flip from red to blue just like you remember, but all the while you’ll be treated to the unmistakable whirs and clicks of a spinning hard drive circa the turn of the millennium. Never forget what they took from us.

See something interesting that you think would be a good fit for our weekly Links column? Drop us a line; we’d love to hear about it.

If you have been paying close attention to artificial intelligence, you may have noticed your worries about job security growing instead of shrinking. According to the AI Monitor 2026 from TU Darmstadt, the more you understand AI, the more you worry it’ll take your job, not less. Based on a representative survey of over 2,000 people in Germany, the study breaks the long-held belief that fear comes from ignorance.

The more you know, the more you worry

Almost half of people with very strong AI knowledge, around 43%, expect AI could soon take over their work. That number drops sharply among people who understand AI less. Professor Peter Buxmann, who led the study, called this both remarkable and worrying, since most debates assume concerns stem from a lack of information.

His data says otherwise. People who understand AI best also see its disruptive potential most clearly. What matters even more than industry is whether your actual output can be digitized. If your job produces text, analysis, reports, code, or presentations, you’re far more exposed than someone whose work depends on physical presence. However, daily AI use at most workplaces still remains fairly limited for now.

A knowledge gap making things worse

Despite how disruptive AI already feels to many, most people haven’t been trained to handle it. Just 15% of respondents have participated in any kind of AI training so far, revealing a real skills gap in AI usage. The concerns people actually have are also surprisingly grounded.

AI hallucinations and data privacy top the list of worries, while only four in ten respondents consider a future superintelligence even likely. Younger workers reported more job anxiety than older ones, and overall concern about job security climbed across every occupational group compared to last year.

The fix isn’t telling people to calm down

Buxmann pushed back against simple reassurance as a fix. People who lose jobs lose more than income, they lose social connection and a sense of purpose too. Rather than dismissing these concerns, he argues they should be addressed through better training and honest conversations about how work is changing.

While generative AI will create new kinds of jobs, he says, it’s unlikely to replace disappearing roles on a one-to-one basis. So the real takeaway for policymakers and employers is that preparation matters more than reassurance ever will.

The new Epson LifeStudio Grand UST projector may not ring any bells. But its rebranding hides the fact that it’s little more than a minor update to the Epson EpiqVision Ultra LS650. That was a decent projector when it came out, but not an amazing one.

With the LifeStudio Grand, Epson has made some improvements. The Google TV operating system works well, and there’s an extra HDMI port where its predecessor offered just two. It also doesn’t have whiny fans. But the image is still a little soft and not as dazzlingly colorful as RGB laser projection. The projector’s motion interpolation also needs a lot of work. And Epson’s switch from Yamaha to Bose for sound tuning hasn’t made the audio better.

With competitors improving considerably over the past year, the LifeStudio Grand is in troubled waters. If you can’t see the DLP rainbow effect and don’t mind drawing the curtains from time to time, you can get a much better projector for your money by shopping elsewhere.

Epson LifeStudio Grand review: Price & release date

CarPlay is great for listening to music on the go, but a few tweaks will help it sound even better in your car.

Wired CarPlay gives you lossless audio

Harry Howitt/Shutterstock

Download high-quality music before you drive

Hadrian/Shutterstock

Check the equalizer and volume settings on your iPhone

Zalfar/Shutterstock

Watch out for this unusual CarPlay bug

Harry Howitt/Shutterstock

Give CarPlay the best source you can

Igor Alecsander/Getty Images

Elon Musk says he’s found a way to solve one of AI’s biggest bottlenecks by making a hard-to-manufacture turbine part himself.

On Saturday, Musk confirmed what a secret foundry SpaceX has been building in Bastrop, Texas, is for — an apparent response to a story that was already closing in on the details. Earlier in the day, The Information published a report citing job listings that explicitly mention a “blades and vanes foundry,” plus findings from Corey Trinetti, a due diligence specialist who authors detailed reviews of AI infrastructure sites in his newsletter and who’d reported that SpaceX had bought roughly 830 acres near its existing Starlink factory in Bastrop between March and June.

“SpaceX and Tesla are each building 100GW/year of solar production capacity as fast as possible,” Musk wrote on X on Saturday, “but natural gas will still be needed to supplement and bootstrap solar for several years. The limiting factor for nat gas turbine production is casting the blades & vanes. By doing in-house casting at SpaceX, we can accelerate nat gas turbines coming online by up to 18 months, which is a profound game-changer.”

The “why” of all this goes back to one of the biggest challenges facing the AI industry right now. GPU shortages are still an issue — Nvidia’s newest Blackwell chips are still running lead times of several months, for example — but a second constraint has emerged alongside it, which is the physical power grid. The International Energy Agency projects global data center electricity use will roughly double by 2030, and gas turbine maker GE Vernova says it’s essentially sold out of production capacity through 2030 due largely to AI infrastructure demand.

That shortage is why building private gas-fired plants next to data centers, instead of waiting on the grid, has become a ubiquitous strategy for so-called hyperscalers, including Amazon, Google, Meta, OpenAI, and Microsoft. After years of prioritizing wind and solar, they’re all now betting on natural gas to get data centers online faster.

As for the casting bottleneck specifically, according to The Information, the blades inside a gas turbine’s hottest section run at temperatures around 3,000 to 3,600 degrees Fahrenheit, which is roughly 800 degrees hotter than the melting point of the very metal alloy they’re made from. That’s only possible because of the blades’ internal cooling channels and thermal-barrier coatings, plus the specific way each blade is cast. Just four companies worldwide have mastered the casting process well enough to produce them at industrial scale, and all of them are tapped out right now.

What makes the whole thing especially difficult is that each blade has to be cast as a single, unbroken crystal, grown slowly inside a vacuum furnace, without the microscopic seams that let ordinary cast metal crack under stress. It’s a tricky process even for the smaller blades used in jet engines; the blades in power-plant turbines are considerably larger, which makes producing them at that scale and without defects even harder.

If SpaceX pulls this off — and it’s easier said than done, of course — it would mean a Musk-controlled entity holds a manufacturing capability that every other AI infrastructure builder currently depends on a tiny oligopoly for, giving SpaceXAI an edge that’s difficult for any well-funded but non-manufacturing competitor to copy quickly.

But it would also mean more gas turbines coming on fast, and turbines in the ground are already drawing federal lawsuits and peer-reviewed health research over the pollution they emit.

In Memphis, where SpaceXAI has run gas turbines to power its Colossus data centers since 2024, the NAACP has repeatedly accused the company of operating turbines without the permits or pollution controls required by federal law. The organization’s concern is that turbines like these emit smog-forming compounds and hazardous chemicals like formaldehyde, pollutants linked to asthma, respiratory disease, and certain cancers. (The site sits near neighborhoods that already face heavy industrial pollution, and University of Memphis researchers said that in their own admittedly limited analysis, air pollution grew “slightly worse” because of the data center.)

But Memphis just happens to be the most visible case. The same fight is playing out anywhere gas turbines have become the default fix for data center power shortages. In Virginia’s “Data Center Alley,” a study commissioned by the Piedmont Environmental Council, using the EPA’s own COBRA health-impact model, found that emissions from a single facility’s eight full-time gas turbines could reach more than 2.5 million people across multiple counties — with the heaviest impact landing on already-marginalized communities — and cause an estimated 3.4 to 6.5 additional premature deaths a year, translating to $53 million to $99 million in annual health-related damages.