from the fix-is-in dept

Well, it was fun while it lasted. And even while it still (theoretically) lasts, it’s really nothing more than the Fifth Circuit saying rights can violated, but only for 90 days at a time.

Earlier this month, the Fifth Circuit managed to deliver a very un-Fifth Circuit decision, finding in favor of rights and against the Trump administration’s war on migrants. As almost every court has recognized for decades, people residing in the United States — even illegally — have constitutional rights. The Fifth Circuit has long been one of the exceptions to this rule.

The administration chose to ignore this because doing would slow its horrific roll towards an eventual evacuation of everyone who wasn’t white enough for this administration to recognize as Americans. To justify ignoring long-held constitutional rights, the administration first invoked the Alien Enemies Act (best known for our atrocities against Japanese migrants and residents during World War II). Then it pretended that anyone who had been in the country for weeks, years, or decades should be treated the same as anyone apprehended while illegally crossing the border.

The Fifth Circuit couldn’t bring itself to rule that migrants arrested long after they’ve crossed the border have access to their due process rights on day one of their apprehension. Instead, it decided (without really explaining why) these rights don’t actually kick in until someone has been in custody for more than 90 days.

That meant nothing would really change. People arrested by ICE and other DHS components all over the nation would be hastily relocated to the Fifth Circuit (Texas, Louisiana, Mississippi) ASAP to prevent them from challenging their detention for 90 days. Presumably, the administration hoped to have most of these detainees deported long before they were allowed to invoke their constitutional rights.

Apparently, 90 days of denying rights isn’t long enough. It looks as though enough judges in the Fifth Circuit think these rights should never be available to migrants. Less than a month after handing down its decision, the Fifth Circuit has declared it will be taking another pass at this.

A majority of the circuit judges in regular active service and not disqualified having voted in favor, on the Court’s own motion, to rehear this case en banc,

IT IS ORDERED that this cause shall be reheard by the court en banc with oral argument on a date hereafter to be fixed. The Clerk will specify a briefing schedule for the filing of supplemental briefs. Pursuant to 5th Circuit Rule 41.3, the panel opinion in this case dated July 02, 2026, is VACATED.

So, we’re now back to the Fifth Circuit status quo. The government can ignore constitutional rights on day one and continue ignoring them until they’ve ejected migrants into whatever war-torn human rights hellhole will have them.

Sure, there’s a very slim (I’d say “nonexistent”) chance the petitioners for rehearing think the Fifth Circuit screwed up by giving the administration a 90-day head start on ignoring constitutional rights. But come on. We’re talking about the Fifth Circuit here.

The most likely reason for this rehearing action is that a lot of Fifth Circuit judges think the Trump administration shouldn’t have to recognize the rights of migrants ever, which is why they want to take another stab at setting precedent that would cover some of the DHS’s largest detention facilities.

The best case scenario would appear to be the circuit upholding its previous ruling, with its (unconstitutional) 90-day 14th Amendment snooze button. The worst case scenario is the entire panel agrees with this hideous, racist administration and says anyone in the country without documentation should be treated like someone caught in the act of crossing the border illegally. I’m not holding my breath for a positive outcome. I need that breath for stuff that’s actually feasible and foreseeable.

Filed Under: 14th amendment, 5th circuit, dhs, due process, ice, mass deportation, trump administration

Xgimi doesn’t seem to tire of launching more projectors and we bring news of of another two to keep track of.

The Flip series is being expanded with the Elfin Flip Laser and Elfin Flip 4K joining the range, as Xgimi looks to widen the range of portable home entertainment experiences its offers, while also upgrading both “optical performance and audio experience”, with RGB Triple Laser tech and Hardon Kardon tuned sound.

Xgimi states that the Elfin Flip 4K is meant for travel or intended to be a “casual streaming device”, like its MoGo series. It describes it as a “performance-class” home projector, weighing 1.55kg and measures about 25cm wide, ensuring it can be transported between the rooms of your home, producing a “full cinematic” experience wherever you choose to place it.

The Flip 4K is powered by a 4K RGB Triple Laser engine that can deliver 1600 ISO lumens of brightness, 110% of the BT.2020 colour gamut and a Delta E of less than 1 colour accuracy, the kind of specs you don’t often see for home projectors such as this.

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For those who want a simple installation, Xgimi’s Intelligent Screen Adapt (ISA) can get the picture ready automatically, with smart features such as Uninterrupted Auto Keystone, Auto Focus, Intelligent Screen Alignment, Intelligent Obstacle Avoidance, Wall Colour Adaptation, and Intelligent Eye Protection ensuring you get the best image for the space the projector is in.

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The Flip 4K is also made with gamers in mind, as Xgimi says it can deliver input lag at less than 1ms at 1080p/120Hz, and it packs in VRR and ALLM support. The Elfin Flip Laser doesn’t feature the same level of gaming support, and the resolution takes a hit, dropping down to 1080p.

Both projectors feature a 7W Harman Kardon speaker that Xgimi says can deliver a room-filling sound experience that “eliminates the need for external audio equipment” (that’s a big claim). There’s also Google TV for entertainment, offering nearly all the apps (for the UK, we’ll assume that iPlayer and Channel 4 are still missing).

Availability for both projectors starts July 15th on the Xgimi website, with availability on Amazon starting July 22nd. Prices for the Elfin Flip 4K is $999 / £869, with the Elfin Flip Laser at $799 / £689.

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Automation and [SvHCI’s VMware] VM Import Utility were absolutely vital to scaling this migration. Operating in a 24/7/365 retail environment meant that minimizing business disruption was critical. It required meticulous planning and heavy automation to ensure our store operations ran as smoothly as possible throughout the entire transition.

SvHCI product maturity in relation to APIs meant it was a small amount of extra work, and the main challenge of the migration was [finding] the time available to do it, for the scale of the environment. They were having to simultaneously plan, develop, and implement.

For many companies, the idea of moving off VMware is daunting due to the money, time, and staff that it may require. Some also report challenges in finding alternatives with the same capabilities and compatibility as VMware. Total or even partial migrations can seem particularly implausible for organizations that depend on VMware technology.

As a result, there are many VMware customers interested in quitting or reducing their use of VMware products, but have yet to make the move or are still in the planning phases. In September, Gartner estimated that 35 percent of VMware workloads would migrate elsewhere by 2028.

StorMagic targets VMware’s larger customers

StorMagic has a reputation for serving small-to-medium-sized businesses (SMBs), but today’s announcement highlights its interest in winning over the enterprise-sized firms that Broadcom’s VMware strategy targets, especially enterprises with numerous SMB-sized locations.

“In reality, we have always focused heavily on two distinct markets: SMB/mid-market datacenters and the ‘edge’ environments of large, highly distributed enterprises, like Sheetz. A distributed enterprise with hundreds or thousands of retail, grocery, or branch locations actually faces similar IT challenges at each site as a local SMB,” Scott Mann, StorMagic’s SVP of global sales, told Ars via email, pointing to these organizations having limited physical space, power, on-site technical staff, and budget.

The executive sees further opportunity among VMware’s current enterprise clients.

“Historically, large enterprises tolerated the ‘VMware tax’ at their edge locations because it was the status quo. However, with recent massive industry shifts, specifically Broadcom’s acquisition of VMware, enterprises are facing massive budget increases just to keep their remote sites running,” Mann said.

Other enterprises recently revealed to be migrating off of VMware include Allstate, T-Mobile, and UK grocery chain Tesco.

For its part, Broadcom has argued that changes to VMware’s licensing model are in line with the rest of the industry, and its acquisition of VMware is considered financially successful.

Beta Pictoris d is estimated to be around two times the mass of Jupiter.

NASA scientists have discovered a new planet orbiting a neighbouring star located 63 light years away from us. The new exoplanet, named ‘Beta Pictoris d’, is the third to be found contained within the Beta Pictoris planetary system.

The 23m-year-old star Beta Pictoris offers scientists a rare glimpse into how newborn planetary systems form, and how its young planets interact with the dust and residual material left behind from their formation.

The sun, in comparison, is around 4.5bn years old.

The new discovery makes Beta Pictoris the second planetary system ever known to contain at least three planets that have been imaged, NASA said today (15 July).

According to the team behind the discovery, Beta Pictoris d is estimated to be around two times the mass of Jupiter, while orbiting its star at around 30 astronomical units – which is comparable to the region Neptune occupies in our solar system. It’s the smallest of the three exoplanets orbiting this star, and takes the widest orbit of the known three.

Beta Pictoris d remained hidden under one of the brightest debris disks known to us, concealing it from traditional discovery techniques. It was discovered rather unexpectedly using the James Webb Space Telescope’s (JWST) Near-Infrared Spectrograph.

“There was an unexpected bright source of light within the Integral Field Unit imaging, but we’ve learned not to trust bright blobs in images,” said Jean-Baptiste Ruffio, a research scientist at University of California, San Diego and principal investigator of the first Webb observations where the discovery was made.

“They can be instrumental artifacts or other structures in the debris disk. By obtaining a spectrum at the same time as the image, we were able to quickly confirm our suspicions.”

The new spectroscopy technique also revealed the object’s motion, allowing scientists confirm that the exoplanet is indeed orbiting Beta Pictoris, rather than a behaving like a background star or a brown dwarf with carbon monoxide in its atmosphere.

This is one of the first times researchers have discovered new planets mainly using moderate-resolution spectroscopy.

Scientists say this new discovery could help explain some of the puzzling structures of the Beta Pictoris debris disk.

“This discovery adds another piece to an already fascinating planetary system,” said Aidan Gibbs, the lead author of the new study published in the Astrophysical Journal Letters.

“Beta Pictoris has long served as a laboratory for understanding how planetary systems form and evolve, and now we have another planet helping us tell that story.”

Last year, astronomers witnessed the very early stages of a new solar system being created around a baby star roughly 1,300 light years away, while earlier this year, 25-year-old University of Galway scientist Chloe Lawler discovered a 5m-year-old exoplanet some 437 light years away.

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Disclaimer: Unless otherwise stated, any opinions expressed below belong solely to the author.

Just last month, Apple, the last holdout in the personal computing market, was forced to hike prices of its computers and tablets within the range of 10 to 30%, depending on the type and model.

The giant from Cupertino was able to wait out the AI-induced inflation thanks to its long-term contracts on memory chips and the TSMC manufacturing capacity it had booked for its Apple silicon processors well in advance.

The fact that it has long enjoyed some of the highest margins in the industry must have also helped, providing a buffer that allowed it to absorb some of the costs seeping through in other areas.

Windows PC buyers have had a much worse time for the past year, as the AI revolution hit their devices first. Laptops may still be attainable, but building a new desktop PC is currently nearly impossible for regular consumers after RAM prices exploded by several hundred per cent in late 2025.

This came on top of inflated prices of graphics cards, which AI came for first, as hyperscalers like OpenAI, Anthropic or Google needed to secure millions of them to train their artificial intelligence models.

That said, amid the surge hitting Nvidia and AMD cards, RAM sticks and SSD storage, one component remained unaffected: the central processing unit (CPU).

Unfortunately, it is about to change.

AI does not run on GPUs alone

GPUs are excellent at performing large numbers of relatively similar calculations simultaneously. This makes them indispensable for training artificial intelligence models, which is why they were essential in the early years of the AI boom.

To build your own AI model, you need GPUs—and A LOT of them.

But they do not operate independently.

CPUs still have to prepare and feed data to accelerators, manage memory, handle networking, launch tasks and coordinate all the other processes taking place around the model.

This becomes particularly important during inference—the stage when a trained AI model responds to users.

Training may take place once or periodically, but inference occurs every time somebody asks ChatGPT a question, generates an image, writes code with Claude or tells an AI agent to complete a task.

As the number of AI users and applications grows, inference demand grows with it.

On top of that, the emerging generation of AI agents is particularly hungry for general-purpose computing.

Unlike a chatbot that produces one answer and stops, an agent may browse files, call external tools, execute code, check results and repeat the process multiple times. Each of these actions creates work that CPUs are much better suited to handle.

Until recently, AI companies needed roughly one CPU for eight GPUs, but that ratio is expected to shrink rapidly and may approach 1:1 parity by 2029.

Consider the millions of GPUs that were sold in the past two to three years. Now, their deployments may need three, four, maybe even eight times as many CPUs. And there are new data centres being built as we speak.

So, not only is the new approach going to have to fill existing gaps, but also respond to the future demand.

Intel is already running short

This would not be a problem if chipmakers had large amounts of spare capacity. But they don’t.

Intel acknowledged that demand was already outpacing supply in late 2025 and warned that shortages would persist into 2026. Its data-centre business was unable to fully meet customer demand because of limited wafer capacity at its own factories.

The company is now prioritising the production of server chips, including its more lucrative Xeon processors, as AI demand grows.

This makes commercial sense. One high-end server processor can cost thousands of dollars, while the CPU in an ordinary laptop may cost the manufacturer a fraction of that.

But Intel cannot simply create more factory capacity overnight. If it produces more Xeons using constrained manufacturing lines, something else may have to give.

And that something could be consumer processors.

Industry reports suggest server CPU prices have already risen by as much as 20% since Mar, while consumer models have reportedly become 5 to 10% more expensive in some channels.

Additional increases may follow later this year.

AMD is benefiting too. Its data-centre revenue rose 57% year-on-year to US$5.8 billion in the first quarter of 2026, driven partly by strong demand for its EPYC server processors.

Unlike Intel, however, AMD does not own its leading-edge factories. It relies primarily on TSMC, which is also producing chips for Nvidia, Apple and numerous other companies competing for limited advanced capacity.

So, while Intel has to choose what to produce in its own factories, AMD has to compete for space at somebody else’s, which is the same Taiwanese company everybody already relies on.

The bottleneck is getting tighter.

Ordinary buyers will end up paying too

While server and consumer CPUs are not always manufactured on the same processes, and chip companies cannot freely convert every production line from one product to another, there are several ways the pressure can still reach consumers.

Manufacturers may prioritise their limited capacity, engineering resources and components for more lucrative enterprise products. Computer makers may pay more for chips under their supply agreements. Shortages of resources and input components can also raise the cost of the entire system.

And many high-end consumer processors can be used directly in enterprise settings. While they may not perform the most important and valuable tasks, they can serve in support roles to help save the precious server models for where they are needed most.

That, in turn, would hoover them up from the consumer market and drag the prices of all processors with them, as consumers turn to the next best option.

There is always another bottleneck

The AI boom began with the impression that the industry merely needed more GPUs. It quickly became clear that it also needed memory, storage and things outside of technical components, like electricity, building materials or qualified construction labour.

Now, CPUs are joining the list.

This is what happens when hundreds of billions of dollars are invested in one industry at the same time. Solving one shortage merely exposes the next bottleneck after that.

For consumers, the frustrating part is that they are competing with some of the richest companies in history, many backed by tacit or direct government support, as entire nations see harnessing AI as a strategic interest.

Hardware manufacturers will naturally sell their limited capacity where it generates the highest returns. At the moment, it is increasingly inside AI data centres rather than the computers sitting on our desks.

That’s why, unfortunately, if you were waiting for GPUs and RAM to become cheaper before buying your next PC, there may soon be another item to worry about. And there is no end in sight.

• Read other articles we’ve written on the artificial intelligence boom here.

Featured Image Credit: Shutterstock

OpenAI has trained an elite hacker, then locked it in a cage. Its whole job is to break OpenAI’s own AI. The company says it is too dangerous to let anyone else near it.

The model is called GPT-Red, and OpenAI detailed it this week. It is an automated red-teamer: software that hunts for ways to hijack or sabotage other AI systems, so the holes can be patched before release. Humans have long done this work by hand. It is OpenAI’s deepest push yet into automating its own AI security, and GPT-Red does it at machine speed.

OpenAI aimed it at prompt injection, where hidden instructions, buried in an email, a web page, or a file, trick a model into doing something it should not. Then it set the hacker loose on real targets.

The training dojo

GPT-Red learns by fighting. OpenAI put it in a self-play loop against a squad of defender models. GPT-Red is rewarded for landing an attack; the defenders for fending one off. As the defenders wise up, GPT-Red must invent nastier tricks. OpenAI says it poured some of its largest ever compute runs into the model, an amount it calls unprecedented for safety work.

It got good. Speaking to MIT Technology Review, the team said GPT-Red found a whole new class of attack they had never seen, which they call a “fake chain of thought.” It plants a false note in a model’s private working memory, tricking it into trusting something that is not true.

“It’s like if I told you that 1+1=3 and that you have verified this already,” said OpenAI researcher Chris Choquette-Choo. “The model’s like, ‘Oh, okay, of course,’ and it just spits out 3.”

Hacking the vending machine

The tests got physical. In one, GPT-Red attacked Vendy, an AI agent that runs a real vending machine in OpenAI’s office, built by Andon Labs. It changed the prices, marked a pricey item down to the 50-cent minimum, and cancelled a customer’s order. OpenAI says it has disclosed the flaws.

The scores are striking. Against an older GPT-5, more than 90% of GPT-Red’s strongest attacks worked. Against the new GPT-5.6, fewer than 23% did. In a rerun of a 2025 test, GPT-Red beat human red-teamers hands down, cracking 84% of scenarios to their 13%.

Kept in a cage

OpenAI trained GPT-5.6 against GPT-Red, and calls it its most robust model yet against prompt injection. But it will not hand out the attacker itself, so its skills stay clear of real agent hijackers. It is not the first lab to build something and decide against releasing it.

“It’s not a trivial thing that someone could easily do,” Choquette-Choo said, “just go and train a super-attacker using this idea.”

GPT-Red still has blind spots. It is weak at drawn-out, back-and-forth attacks, and at hiding instructions inside images. And human testers keep catching things it misses. “I think human expertise will still be very important,” said Jessica Ji, an AI security analyst at Georgetown’s CSET.

The bigger idea is a flywheel: use today’s models to harden tomorrow’s. OpenAI already does this to make its AI smarter. Now it wants safety to scale just as fast. A full paper is due later this week.

The end of the biggest World Cup ever is almost here. Following 100 matches, there are just four teams left and two more games to play.

The tournament has been hosted by three countries: Mexico, Canada, and the US. All of those host countries are now out of the running. The final teams are France, Spain, England, and Argentina. Those teams will play two more games: one to determine who gets third place, and a final match to decide the winner and the runner-up.

Going into this year’s World Cup, FIFA anticipated that it would be the most watched tournament in the organization’s history. As the tournament moved into the quarterfinals earlier this month, FIFA noted that more than more than 6.2 million people had attended matches in person, “while millions more follow the action across digital platforms, broadcast, and fan experiences in host cities and around the world.”

You can find the full schedule, which defaults to your local time zone, on the FIFA website.

Here’s how to watch the final games.

Final

The World Cup final game will be Spain vs. Argentina at 3 pm EDT on Sunday, July 19, in the New York/New Jersey Stadium.

The game will also feature the first-ever Super Bowl–style halftime show in World Cup history, with performances from Justin Bieber, Madonna, Shakira, BTS, and Gustavo Dudamel. As the name implies, that will likely land right in the middle of the broadcast, so aim to watch somewhere around 4 pm EDT on July 19.

Third Place Playoff

Third place is decided by a match between the two losing teams of the semifinal matches. France and England will face off for the bronze title at 5 pm EDT on Saturday, July 18, in the Miami Stadium in Miami, Florida.

Where to Stream

If you have satellite TV or cable service, you can watch the final kickoffs live on TV via Fox Sports in the US. The games are also available on the FoxOne streaming service for $20 per month.

FIFA has partnered with YouTube as its “preferred partner” for streaming the games. You’ll need YouTube TV’s sports plan, which is currently $55 per month. Other paid options include Fubo ($46 per month) and Hulu’s live sports option ($90 per month).

In partnership with Telemundo, Peacock is streaming all of the games in Spanish. You can find all the official broadcasters on the FIFA website.

New Competition

This World Cup has been huge, competition-wise, as it is the first to include 48 teams in the tournament instead of the 32 for past World Cups. Given the increased number of teams, the structure for how the competition played out was different from past World Cups. Countries were first sorted into groups (labeled with letters A–L) and played out games in the First Stage within those groups.

Winners of those matches went on to duke it out in the stage called the Round of 32, then got whittled down in a Round of 16. After that, the winners moved on to the quarterfinals, which wrapped up last weekend. The semifinals concluded with Argentina beating England on Wednesday, July 15,

Smoke from devastating wildfires in Canada is blanketing a large swath of the Midwest and Northeast this week, causing cities across the region to issue air quality warnings.

The extreme levels of smoke mean that even able-bodied adults would be wise to take some precautions to protect their health. The increasing severity of wildfires across the continent—driven in part by climate change—means that even places where blazes aren’t burning will still suffer the impact.

More than 100 fires are burning out of control across Canada as of Wednesday, with hundreds more being monitored or battled. The smoke has drifted south and east, turning skies hazy from Minnesota to New York. Particularly dramatic images have emerged from Toronto, where commuters went to work on Wednesday morning under orange skies. The region is also dealing with a heat wave, with temperatures well above 90 degrees Fahrenheit in many areas and an even higher heat index.

On Wednesday evening, the air quality index in New York City topped out at 180, putting the city’s air squarely in the “unhealthy” category as defined by the US Environmental Protection Agency. Other places were even worse off, with Duluth, Minnesota, seeing its AQI top out above 500. (Anything over 301 is labeled “hazardous” and considered unsafe for everyone.) Smoky conditions are expected to worsen in parts of the Northeast US on Thursday, including New York.

The wildfire smoke blanketing the area contains microscopic particles of matter known as PM2.5s—shorthand for particles that are smaller than 2.5 micrometers, or 30 times smaller than the width of a human hair.

Exposure to PM2.5s can trigger or worsen a number of medical conditions, especially in vulnerable populations. Nicholas Nassikas, a pulmonologist and assistant professor of medicine at Harvard Medical School, says that he would tell his patients with preexisting conditions, like asthma or lung disease, to limit their time outside. Children “have a faster breathing rate—they just breathe more,” says Nassikas, while the elderly, who often have compounding conditions and may live in less well ventilated homes and senior centers, are also at risk.

Jennifer Stowell, an assistant professor at the University of Maryland’s School of Public Health, says that even healthy adults may want to take precautions on days when the air quality index goes over 100: “At the very least, it is important to limit your time outdoors to reduce your overall exposure.” she says. If you have to be outside for long periods, she recommends wearing an N95 mask. Stowell, who is currently in Boston, where the AQI hit 110 on Wednesday, says she wasn’t planning on attending outdoors events until the evening.

Dan Westervelt, an associate professor of climate physics at Columbia University, is similarly cautious. “I’m going to make sure my kids are staying indoors today,” he says. “I won’t be doing any physical exertion, like running, today or tomorrow.”

Climate change is driving up temperatures. That’s making wildfire season longer and creating hotter, drier conditions that lead to more explosive fires. A study published last year estimated that wildfire smoke already causes 40,000 deaths per year in the US, and could more than double to 70,000 deaths per year by 2050 if warming continues. As bad-air-quality days from wildfire smoke get more common, the research on prolonged exposure to that smoke is still developing. A similar blast of smoke from Canadian wildfires hit the Northeast in 2023.

“Exposure to high levels of air pollution over the course of a lifetime or a long period of time is demonstrated numerous times in research to lead to premature mortality,” says Westervelt. “You can chop off some months of your life expectancy if you are living in conditions where you’re very frequently exposed to high levels of air pollution.”