Intel has asked the Federal Communications Commission (FCC) to make an exception for the automated guided vehicles (AGVs) that the company uses to transport the sensitive silicon wafers and other materials, containers, and supplies needed to make the most advanced chips in its fabs. According to Bloomberg, the American chipmaker fears that its AGVs would fall under the blanket prohibition against foreign-made robots after they were added to the FCC’s Covered List.

AGVs are niche machines that chip fabs use to transport materials and supplies between tools and sections of the fab, helping ensure that the cleanroom conditions required for each manufacturing process are maintained. This makes them critical equipment for U.S. semiconductor manufacturing, but, apparently, there are no suitable domestic alternatives for these devices at the moment. Intel’s current fleet of AGVs requires continuous maintenance, including software and firmware updates, and if it’s forced to find a local supplier for its AGVs, the company says that it would take years, crippling the United States’ chipmaking efforts.

The biggest AGV suppliers are Japanese companies like Murata Machinery and Daifuku Co., while a few smaller businesses from South Korea and Taiwan are also trying to break into the market. It’s unclear why these companies haven’t applied for a conditional approval yet, which would allow them to continue selling these products in the U.S. while also promising Washington that they’ll set up a manufacturing base in the country. This is something that Netgear has already done, allowing it to continue selling its foreign-made routers despite being an American company.

Intel says that it remains unclear if updates to its AGVs would break compliance with the FCC, and that it’s asking the agency to issue a conditional waiver “out of an abundance of caution to ensure the ongoing operation of these specific AGV units.” While Team Blue is the only company concerned about AGVs at the moment, other chip manufacturers would likely need a similar waiver in the near future, especially as they build more fabs in the U.S. This includes TSMC, which is planning to build 12 more fabs and four packaging facilities in Arizona, Samsung, with its new Taylor, Texas, fab, and even Elon Musk’s Terafab, which has already begun construction.

Washington has been using the FCC to force companies to invest in American manufacturing. Its blanket bans on foreign-made products like drones and routers have affected some of the biggest brands in the U.S., including DJI and TP-Link. While these bans do not outright ban the sale of all products made by these companies, especially those that have already been approved before, they make it impossible for them to introduce new products and even release software updates to their existing product line. The FCC eventually walked back on the software update ban, but they still would not be able to register new products unless they build them in the U.S.

A software engineer who’s also into drones and 3D printing has shared a single-motor drone that they built inside their home and tested on their bed. Joshua Bird shared a video of how they created it on YouTube, highlighting the unique technique they used to maintain controllability and stability. The design used a combination of a hinged propeller, rapid changes to the motor’s rotation speed, and a custom flight controller and motor controller firmware that allowed the motor to react to necessary changes in under 0.2 milliseconds.

Most rotary wing aircraft require a mechanism to counteract the torque generated by the motor or engine and to change its flight direction, typically with the use of a swash plate to change rotor disk attitude and a secondary propeller. While this method has been effective for decades, it has made rotary-wing aircraft heavier and more complex. This single-motor drone cut the need for a secondary mechanism by constantly adjusting the speed of the motor — speeding it up produces more reaction torque while slowing it down applies opposite reaction torque. This essentially turns into a balancing act between these two forces to reduce the torque on the drone body to a more manageable level.

The hinged rotor also relies on the same mechanism for directional control instead of relying on a swashplate. Each rotor blade sits on a 45-degree hinge that makes it pivot when the motor accelerates. As this happens, one blade pitches up to produce more lift, while the other blade pitches down, reducing lift. By accelerating and decelerating the motor as needed, Bird would be able to change the drone’s roll and pitch movement. It also combines this with the main rotor torque, motor adjustments, and the 3D-printed stabilizing fins to produce effective yaw control as well.

This was the theoretical part — the majority of the build video focused on fixing issues, including the part where Bird built a high-speed camera using a Sony camera and a flash unit controlled by a microcontroller that gets its signals from the prototype drone’s motor controller and camera shutter. This home-made high-speed camera revealed that the drone’s propellers were too soft and had to be replaced with a 3D-printed version that used sturdier filament.

The creator had to launch several test flights from their bed, many of which resulted in a crashed drone and some wall damage as they fine-tuned the drone’s programming. Bird was eventually able to make the 3D-printed drone fly, although it was limited to the bedroom because of its fixed-base IR beacon navigation method. They said that they eventually want to add a linear camera to the build so that it could take off in other environments in the future.

While other researchers and engineers have built smaller, quieter drones, with China even revealing a mosquito-sized unit, Joshua Bird’s single-motor project is still a unique take on drones. But what made the YouTube video much more interesting is the problem-solving process and the solutions that came afterward. You can check out the complete video below and even start your own similar project by looking at the Single Propeller Drone GitHub repository.

The U.S. Air Force has just successfully conducted an airborne test where an F-22 Raptor pilot directed an Anduril YFQ-44A Fury drone during simulated combat. According to The Defense Watch, the fighter pilot gave tactical commands to the autonomous wingman, which then interpreted them into a series of tasks and flight maneuvers to achieve the desired outcome.

The successful test is part of the USAF’s Collaborative Combat Aircraft (CCA), which seeks to integrate drones into fighter squadrons. These uncrewed aircraft must be able to respond to the fighter pilot’s tactical commands and then operate autonomously, though. That’s because fighter pilots already have a heavy workload — flying their own aircraft, managing sensor data, threat assessment, and weapons release decisions — so requiring them to manually fly a drone is next to impossible. Command integration means that the F-22 Raptor pilot could assign the Fury drone a specific tactical task, like monitoring for and engaging enemy air defenses, while they focus on the primary mission, such as taking out enemy fighters.

This does not mean that the USAF can start deploying drones alongside fighter jets in frontline squadrons, though. Successful command integration is just the first of several hurdles that the program must go through before it can achieve operational status. The program needs to determine the limits of the drone’s tactical autonomy, safe flight control, and weapons authorization, all of which are separate functions that must be tested accordingly. The Air Force also needs to see how the drone performs with electronic interference, and how it could continuously operate if it cannot receive instructions due to interrupted communications. Aside from figuring out the drone’s capabilities and incorporating it into fighter doctrine, it must also be integrated into the USAF’s logistics and supply chain. This includes drone maintenance and service, weapons handling, deployment procedures, and forward airbase operations with limited infrastructure.

Even though the latest test is seemingly successful, the CCA still needs to go a long way before it can start operational deployment. Nevertheless, the USAF is intent on pushing the project forward, as it sees autonomous drones as a force multiplier for crewed aircraft, allowing a single pilot to command multiple jets to achieve missions at a lower cost compared to using all-crewed aircraft. Other nations, like Sweden and China, are also experimenting with a similar concept of having a single operator take command of multiple drones, but the most significant difference of the CCA is that it focuses on air power instead of ground-based operations.

While China and Russia rush to build a SpaceX competitor, the UK is taking another route by developing an alternative to satellite internet that relies mostly on aircraft. Its Advanced Research and Invention Agency (ARIA) is funding 18 projects aimed at building aircraft that will deliver wireless communications to areas in the UK and the rest of the world that are not served by terrestrial networks. According to The Register, the program, called Enduring Atmospheric Platforms, aims to have a unit with a 300-watt communications payload aloft and holding station for a week.

These units are called high-altitude pseudo-satellites (HAPS), with ARIA allocating $94 million over three and a half years for these projects. There are three technical areas in focus at the moment: TA1, which aims to develop the underlying technologies; TA2, which looks into the integration and testing of the developed systems; and TA3, which will concentrate on actual deployment.

Two startups have proposed multiple drone systems that will cover the entire United Kingdom — Carousel, by Menapia, wants to build a constellation that can hover at altitudes of up to 12 miles, while Enduring Drone Networks, by VFP Aerospace, proposes a relay of units that automatically fly back to their ground station for charging and servicing, with a cost of about $67,000 per drone.

Two other proposals suggest wireless power — one is Scalable Laser Ltd, which is working on a laser-based technology that pairs high-power laser diodes on the ground with advanced photovoltaic receivers in the air. On the other hand, Space Solar Engineering Ltd wants to use radio frequencies, like microwave, to deliver power to airborne units. There’s also a more novel approach from the University of Bath, which plans to use atmospheric gravity waves — using the upward movement of air caused by weather fronts and geographical features and the subsequent pull of gravity that brings it back down — to extend the range and endurance of HAPS aircraft.

"This research expands the UK's leadership in high-altitude platforms to become the place where this industry is designed, built, and scaled," says ARIA program director Rico Chandra. "Getting there means backing bold ideas, from fixed-wing solar aircraft to designs nobody predicted, including aircraft that fly on spinning wings instead of propellers."

China's state-run newspaper has downplayed the call of Anthropic founder Dario Amodei to “pace the frontier.” China Daily, the official English mouthpiece of the Communist Party of China, questioned the move, which was supported by OpenAI CEO Sam Altman and SpaceXAI’s Elon Musk, asking if they were doing it out of concern for humanity or if they’re afraid of competition from China.

“The report, and the corporate ‘alliance’ that followed it, amounted in essence to a coordinated play — a response to Chinese competition and to the regulatory pressure coming from Washington. Its aims were threefold: to blunt China's AI advance, to win a favorable policy environment at home and to keep investors' enthusiasm for US AI alight,” the publication wrote. It further criticized the move thusly: “The proposed coordination among the three companies sounds rather like a club whose membership rules have been drafted before the guest list is announced. A global AI-safety framework that excludes China is not quite global.”

The paper also called out the U.S. efforts in blocking Chinese AI advancement, both through hardware, by blocking Beijing’s access to the latest Nvidia chips, and software, with Amodei’s multiple accusations of illegal distillation of Claude by Chinese AI labs. China Daily said that these efforts have apparently failed, and cited the success of the DeepSeek and Kimi K3 models, which turned out to perform well enough but at a much lower cost.

The availability of those models has resulted in many AI users shifting demand to cheaper tokens, like Kimi K3 (low) and DeepSeek V4 Pro, over the expensive frontier models like Fable 5.1, GPT 5.6 Sol, Grok 4.6, and Kimi K3 (max).

China Daily also took issue with Amodei’s focus on excluding China from his proposal. It suggests that the move is meant to widen the technological gap between the two rivals when it comes to AI technology and give American AI labs breathing room to “pace the frontier,” and that it reveals how Washington sees Chinese AI as an existential threat.

Nevertheless, Chinese policy acknowledges some of the risks that Amodei raised. The Standardization Administration of China, in cooperation with the Cyberspace Administration of China, says that the development of AI technology must be monitored as it may go beyond human control.

“Treating the AI race as a zero-sum game makes the cooperation needed to manage those risks more difficult. China and the US should cooperate where neither can manage the consequences alone,” says the state media outfit. “The planned AI-safety dialogue between the two sides and future high-level exchanges offer opportunities for practical engagement. The promise of AI lies in serving humanity's common good, not in being weaponized for geopolitical gain or instrumentalized for personal profit.”

South Korean memory chip manufacturer SK hynix is in talks with Intel to start manufacturing inside the U.S., according to Reuters. The company is reportedly considering multiple options, including leasing space at the under-construction Intel Ohio One site and forming a joint venture with Intel and other AI hyperscalers desperate for HBM.

This move could help alleviate the memory shortage. It would also complement the company’s expansion in Indiana, where it recently broke ground on an HBM packaging plant a few weeks after its historic $26.5-billion Nasdaq listing. It’s unclear yet if these talks are part of the results of the South Korean president’s visit to Silicon Valley in an effort to expedite negotiations between its top tech companies and their U.S. counterparts, but SK Group chairperson Chey Tae-won told reporters in July, “I think we need to build a factory in the United States. If possible, I believe we should build it.”

However, there are also concerns that Seoul might object to such investment. The South Korean government just unveiled a $520 billion investment plan to increase chipmaking capacity within its shores and keep the country competitive in the AI race; at the same time, it’s also in talks with the U.S. to finalize its $350 billion investment commitment to Washington to reduce tariffs on South Korean goods, $200 billion of which is still undecided on which projects it will be deployed on. Meanwhile, the Commerce Department has threatened to impose more tariffs on South Korean and Taiwanese tech companies if they fail to invest in U.S. manufacturing. This potentially puts SK hynix at a precarious position, especially as it balances the demands from the White House and the Blue House.

Neither company has confirmed these rumors, though. SK hynix told Reuters that it’s “reviewing various measures, including establishing additional production bases, to strengthen the competitiveness of its memory business,” but “no matters have been determined at this stage.” On the other hand, Intel called them speculation and declined to comment on the matter, only saying that it was continuing to invest in the Ohio project, which is expected to come online between 2030 and 2031.

The estimated natural gas consumption of data centers in the U.S. is expected to massively increase as these facilities increasingly rely on gas turbine generators for their power. According to Bloomberg, data centers are projected to use up to 15 billion cubic feet per day by 2035, a 117% increase from the previous forecast of 6.9 billion cubic feet. This number tracks with other data center forecasts, which suggest that data centers will use 20% of U.S. power by 2035, amounting to about 194 gigawatts.

Many data center projects have already been delayed by the lack of available power infrastructure, with power plants expected to take so much longer before they come online. It’s for this reason that many developments have turned towards onsite generators, so much so that AI demand is now compounding the jet engine shortage already plaguing the aviation industry.

Elon Musk was among the first to use gas turbines to power a data center when he deployed them at the Memphis Supercluster in 2024, even though he didn’t have permits for some of them. Now, it seems that the world’s richest man has seen this trend and has invested a billion dollars to buy a portable gas and diesel turbine leasing company. He even announced that SpaceX will start in-house turbine blade manufacturing to help cut down on the manufacturing bottleneck plaguing the jet engine industry.

New technologies like small modular reactors are currently being developed as an answer to AI data centers’ insatiable demand for power, like Ampera’s 3D-printed modular thorium nuclear reactor or Valar Atomics’ Ward 250 nuclear microreactor. Many AI hyperscalers, including Amazon, Google, Microsoft, Nvidia, and Oracle, have even invested in projects like these in a bid to generate massive amounts of clean energy for AI. However, they’re expected to take a few more years before they could become commercially viable — time that tech giants do not have. Because of this, Musk said that “natural gas will still be needed to supplement and bootstrap solar for several years.”

The deployment of natural gas turbines in data centers isn’t good news for the communities living around them, though. The NAACP said in its lawsuit against SpaceXAI that the use of these turbines at Colossus 2 increased nitrogen oxide exhaust by 111%, PM2.5 particles by 83%, and formaldehyde emissions by 88%. While the company has already pledged to remove all its unpermitted generators, the process will take at least a year as the portable turbines are slowly being replaced by a 1.2-gigawatt on-site power plant.

Aside from this, the massive demand for natural gas could potentially put a strain on the supply, causing prices to rise and hit the average consumer. Domestic natural gas producers are projected to raise their output by 35 billion cubic feet per day in the next decade, but this still falls short of the forecasted demand by around 11 billion cubic feet per day. So, unless output manages to catch up with the demand, prices are expected to shoot up and cause a scramble for available supply. Still, some experts suggest that there are still more than enough undeveloped gas fields within the U.S. to allow the industry to increase natural gas supplies and reduce costs.

Microsoft founder Bill Gates has said in an interview that the world’s governments are not ready for artificial intelligence. The billionaire philanthropist made the warning in an interview with Reuters, saying that nations must prepare for the various risks that the technology poses to the workforce and society as a whole.

“I don’t think any government is nearly as deep on this as they have to be. Governments are way behind on this one,” Gates told the publication. He also added, “There’s all sorts of movies where some aliens are coming, and magically, the U.S. and China and everybody comes together to solve the problem. AI is kind of like this alien intelligence. It’s here, and we better do like it shows in those movies.” In line with this, he said that he has been in talks with world leaders like U.S. President Donald Trump to share his concerns, and that he’s also trying to meet with Chinese President Xi Jinping.

While concerns AI’s impact on jobs and human society may seem small compared to the news about runaway AI taking over the world and ending all human life, governments still cannot ignore these seemingly lesser issues. This is especially true if businesses stop hiring people in favor of AI tools, with the CEO of Microsoft AI predicting that they could replace every white-collar job in 18 months. This is why Gates argues that authorities across the world must have plans in place when this begins to happen, even going as far as saying that some jobs should be “Human Reserved.”

It’s unclear what steps Bill Gates believes governments should take to prepare and protect its citizens from the predicted turmoil that AI technologies will bring on humanity, but U.S. Senator Bernie Sanders has already proposed an AI sovereign wealth fund that would have direct ownership stakes on American AI firms. He even went as far as introducing the Ban Artificial Superintelligence Act, which puts the penalty of developing powerful AI tools at par with building rogue nuclear weapons. However, the current administration has downplayed all these concerns about AI, with President Trump calling them a hoax.

Despite his warnings, Gates still believes that AI has great potential for good. The Gates Foundation is planning to spend at least a billion dollars in the next two years to give more people access to AI, saying that it could help the world’s poorest people “if managed properly and accessed equally.” This amount of money will go towards supporting the use of AI in education, healthcare, and agriculture, and even the expansion of large language models so that they would work across all the languages on earth.

The Greenlink Connector, which costs $580 million (GBP 430 million) and connects Ireland to Wales via an undersea power cable, was rerouted after scores of Harry Potter fans complained that it would go through the grave of the beloved house elf “Dobby.” According to The Guardian, project manager Simon Ludlam pointed out in a BBC interview that the cable would transition underwater at Freshwater West. Unfortunately, Ludlam was unaware that this was the filming location for the site where the Harry Potter character was buried in the movie franchise. When the BBC aired the clip, the project began receiving hundreds of calls about the site.

Ludlam recounted to The Guardian a discussion with a colleague when they told him, “Apparently, we’re going to go straight through Dobby’s grave.” He answered, “Dobby? Who’s Dobby? I don’t know Dobby.” It seemed that the project manager was in disbelief when it was finally explained that Dobby is the freed house elf who was killed in the process of rescuing Harry Potter and his friends in the last book. “He is a fictitious character in a fictitious book — the whole thing is fictitious. What are you talking about?” Ludlam said, after which his colleague replied, “No, it’s very, very serious.” In the end, the company working on the project acquiesced to the demands and concerns of the Harry Potter fans and rerouted it. “A lot of people were very happy about that, and the project is now going [ahead], and Dobby’s happy,” the project manager said.

The Shell Cottage, where Dobby is buried, is on the outskirts of the fictional town of Tinworth, in Cornwall, but the original film series shot the scene in Freshwater West. Many Harry Potter fans leave stones marked with “Here lies Dobby, a free elf,” as a nod to the epitaph that the titular hero left on his grave. The National Trust, which owns the land, has previously warned pilgrims not to do so, as the area is ecologically sensitive, but it seems that people still do so. The fans’ resistance to having Dobby’s “grave” desecrated seemingly prevented the undersea cable from going through the area. It was instead rerouted in an area that was close to some Bronze Age remains and urns, which, ironically, are associated with human burial.

Undersea cables are crucial infrastructure connecting distant locations for sending information, power, and other crucial resources. Many of them face increasing threats, especially in areas that face geopolitical pressure, like Taiwan and the Baltic Sea, which is why companies are creating technologies to help detect intentional tampering. However, it seems that the one thing that the planners of this particular project did not take into account is the passion of Harry Potter fans.

An elderly farmer in Chuzhou, China, has been following AI advice since he started using it a year ago, but after months of interactions, it recently gave some terrible advice that led to the death of his entire crop. According to Taiwanese outfit CTWANT [machine translated], 67-year-old Wu initially didn’t trust the AI app but eventually changed his mind after it proved to be useful. Unfortunately, this mistake turned out to be disastrous, as it directly caused the death of 150 mu, or 24.7 acres, of sesame seedlings.

Wu asked the AI for advice on weed and pest control, after which it came up with “Hundred Acres of Sesame Grass Control + Pest Control,” and recommended that they use “high-efficiency flupyrimethalin” and “flusulfasulfaether” to kill weeds and mixed it with “thiamethoxazine” and “methyl salt.” The farmer followed the AI’s advice to the letter without confirming the information via agricultural technicians (or even just counter-checking its answers online).

The very next day

The result of the AI’s mistake was quickly apparent, as, just the following day, the weeds and the sesame seedlings died en masse. “If you spray it, the next day the seedlings won’t survive,” Wu said during a video interview. “Both the grass and the seedlings will die, and the seedlings will die even faster.”

When he asked the AI why this happened, it suggested that the “flusulfasulfaether” might be behind the issue. Agricultural experts said that this chemical was primarily used against broadleaf weeds in soybean fields. The USDA [PDF] categorizes sesame as a broadleaf plant, meaning it will also be easily affected by this herbicide. Furthermore, this chemical is designed for targeted spraying on affected areas only and shouldn’t be applied to the entire field. The farmer claimed that the AI did not warn him of the risks of following its answers, but its chat page had a reminder that said, “AI generation may be incorrect, please verify.”

Although AI is a powerful tool, it also has a history of giving bad advice and making bad choices. Just a couple of days ago, one developer had his entire profile directory deleted during a routine backup procedure after it encountered a typo. Even Meta’s AI Alignment director fell victim to this, after she had to manually terminate her AI agent to stop it from accidentally clearing out her entire inbox. That’s why it’s imperative that users are aware of AI’s limitations every time they use it.

This is one of the first instances in which we reported an AI mistake resulting in a physical consequence in the real world. We also cannot entirely blame the person for trusting the tool — after all, he was skeptical of it at first, meaning it produced results that made the farmer trust it over time. But even if an AI’s output has been reliable recently, that doesn't mean that it is absolutely trustworthy. After all, current LLMs are nothing but prediction engines — you cannot guarantee a correct answer every time you use them, especially if they have been trained on a public knowledge base whose dataset hasn’t been completely filtered for accuracy and factuality.

Noctua is known for making high-end, high-quality fans and air coolers, which it has been doing for over 20 years, recently expanding into AIOs. However, it appears that there were a few questions regarding its PC case compatibility database, which some PC DIYers say don’t match the data from the manufacturer’s website. The company cleared this up in a blog post, saying that it has undertaken its own measurements and it has determined that 56 of the more than 100 cases it has tested showed significant deviation from the details officially listed online.

The company gave two diverging situations of inaccurate official measurements. The first one is when the case is larger than what is actually written, which would allow PC builders to attach a larger cooler. Noctua said that the deviations aren’t minor, either. For example, the NZXT H2 Flow case is listed as being compatible with a maximum 75mm CPU cooler height, but the actual case can accommodate an air cooler up to 79mm. There’s also the Thermaltake TR100, which is 2.7mm larger than what the Thermaltake website says, and the Corsair Frame 4000D, which gives you 10mm of extra clearance.

This is a good thing, as any cooler you bought based on their website’s measurement means that it will definitely fit, but Noctua said that this is a missed opportunity. That’s because you could’ve bought a larger cooler that delivered more performance in the same case.

On the flip side, the company warned that there were also some cases that were actually smaller versus the numbers in their specifications. It cited two examples — the Asus Prime AP201 and the Lian Li B4-mATX. The former is 1.7mm shorter while the latter is 3.5mm shorter than what’s listed on their specific product pages.

This could to be a major issue, especially if you bought items that fitted the available space exactly, based on the manufacturer’s measurements. It would mean that these parts would either be touching the case panels, or worse, not allow them to close at all. If that’s the case, you’ll have to spend extra effort to return either the part or the case and get something that fits better.

The safest solution to this is for you to buy the PC case before you shop for the remaining parts of your build. This is especially true if you’re looking at the best mini-ITX cases, as the tight tolerances mean that you don’t have much margin if the numbers aren’t accurate. But by having the case physically available and measuring it yourself, you’re at least confident that what you’re buying will fit. Alternatively, you can check out Noctua’s compatibility search page, with the clearances of the cases in its database verified by its team.

This compatibility tool will give you peace of mind when shopping for the best cooler and is useful for confirming measurements even if you end up buying from another brand. But this begs the question — are the variations between official and actual measurements limited to the air coolers? Or are the numbers for other components, like the GPU, PSU, and other key components also inaccurate? Noctua’s website only covers coolers, so you’ll have to rely on other pages (or your own measurements) if you want some confirmation of a case’s specifications and clearances for other parts like GPUs and PSUs.

Most megafactories usually take years to go from conceptualization to construction, but a recent drone flyover of the Terafab showed that progress has already started on the ground less than five months after Musk unveiled it. However, the video doesn’t do justice to the true scale of its footprint, so X user Nic Cruz Patane created a visualization to help us understand how large the chip manufacturing facility is.

The site will reportedly have a floor space of at least 100 million square feet, making it larger than Giga Texas (10 million sq. ft), the Pentagon (6.6 million sq. ft), Apple Park (2.82 million sq. ft), and the Mall of America (5.6 million sq. ft), combined. This also makes it significantly larger than New Century Global Center in Chengdu, China, with has an interior space of “just” 18.9 million sq. ft.

While this might seem like an absurd amount of space for chip manufacturing, it appears that the Terafab will need it because it’s going to be more than just a chip fab making AI processors — instead, it will be an all-in-one facility that will produce logic and memory chips, as well as have lithography, packaging, and testing under one roof.

Elon Musk started talking about building his own chip manufacturing facility in late 2025 and officially announced the project in March of this year. The reasoning behind this project is that both SpaceX and Tesla will require at least 1TW of compute, which is more than ten times that current global chip supply.

Nvidia CEO Jensen Huang warned that a project like this will be an “extremely hard” challenge, but it appears that Musk is willing to put his massive resources on the line for this. Intel CEO Lip-Bu Tan even said that he can “think of no better partner than Elon Musk” to explore “unconventional” ways of chip manufacturing.

Musk is no stranger to both leading and funding projects that otherwise seemed impossible. Although he did not found Tesla, his investment and leadership in the company led it to become an industry trailblazer in EVs. He fundamentally changed commercial space travel with SpaceX; something that used to be the purview of NASA and other national governments, and he also broke a record when he set up 100,000 Nvidia H200 GPUs in just 19 days back in 2024 — a process which Huang said usually takes four years.

It seems that Terafab is Musk’s biggest project to date, which is estimated to require up to $119 billion in investments. But even though it seems that this project already has a secure customer base in SpaceX and Tesla, the former acknowledges that there’s a risk that this ambitious megafactory may not be successful.

The city council of Emporia, Kansas, the same council that had a teacher arrested for clapping in support of the opposition, announced that it will move its meetings online after its members received death threats. According to 404 Media, Emporia announced this move two days before the meeting set for August 5, 2026, and will also affect the one set on August 19, 2026.

“In the interest of public safety, the Emporia City Commission meetings scheduled for Wednesday, August 5, 2026, and Wednesday, August 19, 2026, will be conducted virtually. No public comment period will be provided during either meeting,” the city said on its Facebook page.

“The City remains committed to conducting the public’s business in an open and transparent manner while taking reasonable measures to protect the safety of elected officials, City staff, and members of the public. The City appreciates the public's understanding and cooperation as it implements these temporary measures while ensuring the continuity of City business.”

The move to a virtual meeting is an understandable move given the death threats on some of the city leaders. However, it also canceled public comments and instead directed citizens to an email address and phone number where they can air their concerns privately. This led to some citizens airing their complaints in a protest outside the Emporia municipal auditorium.

“While I don't doubt that there are credible threats, my big question is on how many there are and from where they are coming. Mayor Smith did mention in yesterday's meeting that the threats don't seem to really be coming from locals but ‘it only takes one’ to ruin a meeting so they went virtual. I feel like we're being punished for the actions of outsiders,” Lux Claridge, the person arrested in the previous council meeting, told 404 Media.

“I'm not so upset about going virtual, it makes sense, but back it up with examples of these threats. I'm more upset that they opted to close public comment and I don't understand why.”

One of the things that the council considered during the meeting was the petition to put a data center ban on the ballot, with the members voting unanimously to send it for judicial review. The council claimed that doing otherwise could open the city to a lawsuit from either side, although it did not elaborate on the reason why this would happen.

While we haven’t heard of a local jurisdiction getting sued for passing a data center ban, one Texas senator warned a county in the state that it cannot legally impose this. So, the commissioners are likely being careful to avoid legal issues, even if they’re in another state.

The AI-driven memory apocalypse has made computer parts so expensive that the average buyer has stopped building PCs. Multiple research firms have already said that, but we’re now seeing it in action in the market. Uniko’s Hardware shared on X four crazy combos of RTX 5090 GPUs being sold on the Taiwanese e-commerce platform PChome24h.

Some of the GPUs that come with a lot of "freebies" include the Asus ROG Astral GeForce RTX 5090, Gigabyte Aorus RTX 5090 Master, MSI GeForce RTX 5090 Gaming Trio OC, and a Gigabyte Aorus RTX 5090 AI Box external graphics card. These items are priced in NTD, but we’ll list them below, including their retail prices in dollars (NTD 32.25 = USD $1 exchange rate) and the included items.

As we can see, even though GPU prices are quite inflated, many of them come with enough freebies that you can start building one high-end system and three to five entry-level gaming rigs. They’re still priced relatively high compared to Amazon or Newegg in the U.S., though, but we have to keep in mind that Taiwan is a different market, so there will likely be variations in prices plus VAT.

While this might be an amusing piece of trivia for some people, it’s actually evidence of a disturbing trend in the PC building industry. Multiple research firms have been saying that the market will contract by double digits this year, with the entry-level PC market being hit the hardest, and that it’s not expected to bounce back until 2029. These combos are just evidence of that, at least in Taiwan.

That’s because sellers often put slow-moving products in a combo to help get their inventory moving. Given the number of motherboards, entry-to-mid-range GPUs, and other components included in these combos, it’s safe to say that these items aren’t selling and retailers are doing all these crazy deals just to free up capital.

As the AI-driven memory crisis has pushed up the prices of memory and graphics cards, many have already paused or delayed their purchases and upgrades. Only those with deep pockets who can afford to spend thousands of dollars on parts and combos like these are still buying PC parts.

The community of Gilroy, California, about 30 miles southwest of San Jose, was surprised when an Amazon data center started construction in their town last month. But as many projects like these have been suffering from opposition and delays across the country, the Wall Street Journal reports that this specific site avoided scrutiny by adhering to local zoning rules set 45 years ago.

Amazon’s Gilroy project sits on a 56-acre piece of farmland between a Walmart Supercenter and the Gilroy Premium Outlets. The company and the city didn’t exactly keep the project secret when it started its application in 2020. In fact, there were disagreements between the tech giant and the city government during the process. The publication noted that some Amazon officials were frustrated by slow permitting progress, which was delayed by at least one year. At the same time, the city pushed back on some of the company’s requests, especially if they were no longer up for discussion.

Roger Wehner, Amazon Web Services vice president of economic development, told WSJ that the site had gone through a long approval process, which required public notices and public-comment periods. However, when Gilroy resident Rosa Rodriguez wanted to state her concern about the damage a data center can do to a region suffering from drought, she was told that the comment period had already lapsed in 2024, long before data centers became a hot topic across the country.

Gilroy City Mayor Greg Bozzo said that other industrial projects that had a similar scale to the Amazon data center have previously been approved without resistance.

“It didn’t bother them that a food-distribution center came to Gilroy without their engagement, but now it bothers them that a data center is coming to Gilroy without them having the possibility of engagement,” Bozzo said.

Still, he conceded the people are now more aware about data center developments and added, “We…have an opportunity to change the way that we do business in Gilroy. We’re adapting to the times.”

The tech giant also said that it’s engaging more with the community, with Amazon officials claiming that they met residents directly and even hosted an open house where people can ask questions and leave comments. It also addressed fears that the development would cause a water shortage, which other data centers have already caused, saying the company is constructing a wastewater recovery system to supply its water needs and will even build a pipeline to bring wastewater from the source to its plant.

Bozzo also highlighted the benefits that Amazon will bring to the city, especially increased tax revenue, construction jobs, and a million-dollar donation towards a new fire truck. He also pointed out that the tech giant has been giving grants to non-profit organizations in the city, as well as sponsoring the annual Gilroy Garlic Festival.

But at this point, it’s not the Amazon data center the people of Gilroy are having an issue with. Instead, it’s the fact that a major project that has the potential to have a major impact on the community has been approved without the knowledge of many residents.

Software performance expert, scientist, and GitHub developer Daniel Lemire compared historical computer memory prices and showed that decades of falling prices were undone in just a matter of months because of the massive demand for HBM. According to his X post, this event is a historical anomaly, and he cannot think of an instance where technology hardware prices reverted to levels from decades before.

“RAM on a per unit basis is about as expensive as it was in 2007,” Lemire said. He also added, “I do not think anyone can predict what will happen, but I am guessing that we either find a way to build AI systems without so much memory, or we find really clever ways to make much more memory much faster.”

We also checked third-party data compiled and maintained by David Shim for the Stanford DAM Project. The latest price for DDR5 memory sits between $13.28 and $11.41 per GB — the last time RAM hit this price was in 2008, when the price for DDR2 hovered by $15 and 11.00 per GB. These are based on nominal USD values, though. If we take 2024 inflation into account, the current amount for DD5 is between $12.74 and $10.94 per GB, which was last achieved in 2011, when DDR3 prices were at $11.85 per GB.

Technological advances, especially in manufacturing and miniaturization, meant that tech became cheaper over time. This has been true ever since the first general-purpose digital computer was created 80 years ago. ENIAC cost the government $400,000 in 1946, meaning it would probably cost around $6,850,297.44 today. However, its computing power equaled roughly 5,000 additions per second — by comparison, one of the cheapest smartphones you can get today, the Moto G Play, is on sale for $99.99. This smartphone is powered by a Snapdragon 680 processor with AI performance of 3.3 TOPS — that is 3.3 trillion operations per second. We can’t really compare the ENIAC to a modern processor, but it at least shows us the scale by which technology has advanced, and prices have dropped.

The massive increase in memory prices in recent times wasn’t caused by technological regression or a bottleneck in supply — instead, it’s the massive demand for HBM driven by the AI race. “The memory output is increasing by around 20% per year. Now, normally, that would be fantastically fast and amazing for any large, mature industry, but ask yourself, ‘Is the demand increasing by 20% a year?” Elon Musk said during the last SpaceX earnings call. “No, the demand is increasing by 200% a year, maybe higher.”

Other experts and industry leaders agree with Musk. The chairman of the SK Group, the holding company that owns memory chip manufacturer SK hynix, said that RAM prices are “abnormally high,” and that the industry must take steps to increase supply and lower prices. Even RAM that uses chips from Chinese manufacturer CXMT, which some people look to as a cheaper alternative, generally tracked the prices of modules that use chips from the big three (Micron, Samsung, and SK hynix).

Aside from computers, other industries are already being affected by the shortage, including graphics cards, smartphones, gaming consoles, and even automobiles. We do not know how long the current memory crisis will last, but the situation is unsustainable and “something has to give.” The scary thing is that nobody knows what would happen if and when that time comes.

The Salem City Council convened a public meeting last July 27, where it discussed the proposed $5.1 billion Oakline at Mill Creek data center by Verrus. As the people converged on the meeting site, a TikTok user spotted a guillotine towed by a bike outside of the venue, signaling the people’s discontent with the project.

According to NewsData, the consultation lasted for more than six hours as several members of the community voiced their opposition towards it. The developer’s representatives were initially on-site to hear the comments, but had to leave midway through as they were confronted by some protesters.

“During a break in the proceedings, a group of opposition members cornered Verrus representatives and shouted insulting remarks, to the point where it no longer felt safe to stay,” Verrus spokesperson JP Newmann said, according to the publication. “We appreciate the support of local law enforcement in helping de-escalate the situation and escorting Verrus representatives from the site safely.”

One week after the meeting, Salem announced a data center moratorium that would halt all data center developments in the city for one year as it considers zoning laws to accommodate developments such as this. This adds Salem to the long list of jurisdictions that have passed similar moratoriums, including Seattle, Washington, and the State of New York.

Unfortunately, the Verrus project will likely not be affected by this delay as it filed its application three days before the announcement. Despite this, Governor Tina Kotek (D) announced that Oregon will terminate a deal to sell a 32-acre plot of land that forms part of the three plots of land on which the project will sit. While it still leaves Verrus with approximately 43 acres, it means that it would have to go back to the drawing board to change its plans. This is similar to what Nashville did when it used its eminent domain power to deny the land that another developer wanted to use to build a data center near the historic Nashville Zoo.

But because Verrus submitted its application before the moratorium announcement, the city is still processing its proposed data center project. That does not mean that it will get an immediate green light, though. It still has to go through an extensive permitting process, which includes technical studies, permit conditions, and enforceable agreements, among others.

Oregon is one of the first states to enact a law that ensures large consumers, like data centers, pay for the majority of the grid upgrades needed to serve their needs. This allowed Portland General Electric, the state’s largest power provider, to increase the bills of users who used more than 20 MW by 30%, while also affecting a 1.3% cut in residential electricity costs. But despite this protection that stops ratepayers from price shocks, many people are still against data center projects in their towns and cities.

Nvidia has a booth at the annual QuakeCon, which is happening from August 6 to 9 at the Gaylord Texan Resort & Convention Center in Grapevine, Texas, where the company is selling RTX 50-series GPUs at their original launch price. The company said in its blog post that several Founders Edition graphics cards are available at MSRP while supplies last, and that there will also be several prizes and freebies, including the GeForce Trading Cards Series 1.

“If you’re attending this year’s event between August 6th and 9th, head to the GeForce booth ASAP to get in on the action,” Nvidia said in its blog update. “And if you want a GPU upgrade, our team is bringing Verified Priority Access IRL to QuakeCon, enabling you to purchase Founders Edition GeForce RTX 5090, 5080, and 5070s at MSRP while supplies last.”

The firm officially announced the RTX 50-series in Las Vegas at CES 2025, with the RTX 5090 priced at $1,999, the RTX 5080 at $999, the RTX 5070 Ti at $749, and the RTX 5070 at $549. However, the supplies of these GPUs were limited — the 5090s and 5080s went out of stock on the same day that they arrived on store shelves. It took several months for the RTX 50-series to finally dip below MSRP, but this only lasted a few months as the memory shortage took hold and caused VRAM prices to skyrocket.

This means that the best graphics cards for gaming are quite expensive at the moment, with Tom’s Hardware’s GPU price tracker showing the best price for the RTX 5090 sitting at $4,381 — more than double the $1,999 MSRP that Nvidia set for the GPU. Even the RTX 5080, 5070 Ti, and 5070 aren’t immune to these price increases, with the most affordable options for the graphics cards sitting at $1,289 (29% over MSRP), $989 (32% over MSRP), and $629 (more than 14% over MSRP), respectively.

Unfortunately, this isn’t likely the worst that we will see when it comes to GPU pricing. There has been some disturbing news that prices for RTX 50-series GPUs jumped by 30% in South Korea as wafer costs from TSMC have increased, and GDDR7 modules push past $20. While this hasn’t reached the U.S. at the moment, there is fear that retailers in the country will follow suit soon.

Such is the state of the PC building industry that RTX 50-series GPUs at MSRP have now become a come-on to desperate gamers who just want to upgrade their gaming PCs for a reasonable price. Unfortunately, “Verified Priority Access IRL” is only available during the convention and only until supplies last — once there’s no more stock on site, you’d have no choice but to troll the interwebs for a deal or a secondhand unit if you refuse to pay for more than the MSRP. Alternatively, if you believe that you’ve got the skills, Nvidia is also hosting Quake III Arena RTX Remix and DOOM: The Dark Ages | Revelations challenges, where the best players will each receive an RTX 5070 Founders Edition GPU.

A developer posted on the r/ClaudeCode subreddit a major error that their AI tool executed, which resulted in the deletion of their entire drive. According to u/Ecstatic-Big5126, they instructed Opus 5 to back up their system. While the AI proceeded with the task, it thought that it had created the backup in the wrong directory and then proceeded to run an “rm -rf” command on the supposed backup. Unfortunately, it mistakenly deleted the entire profile folder in its confusion.

It seemed that the AI was running on a Unix-style shell on Windows when it confused the Unix-style path of /c/Users/ as a temporary backup because it was expecting the traditional C:\Users\ path. So, when its expectations did not match, the tool decided to run the rm -rf “/c/Users/harih/” command, proceeding to clear every file and folder in the user’s profile.

“I asked Claude Opus 5 to create a backup. Instead, it created the backup in the wrong directory and then proceeded to "rm -rf" my entire drive,” u/Ecstatic-Big5126 wrote. “After wiping everything, it just replied: "Sorry, typo." ...like nothing had happened.” They also added, “That was simultaneously the funniest and most painful AI moment I've had.”

The lesson here is that while AI LLMs are powerful tools, they still shouldn’t be given unfettered access to your system (or any system, for that matter). There have already been several examples of AI and AI agents messing up systems and deleting everything — one of the earliest examples includes an AI coding platform deleting an entire company database despite a code freeze, and a Google agentic AI wiping a user’s drive without permission.

There have been a number of high-profile mistakes of this nature. AWS has reportedly suffered from outages caused by blundering AI coding bots, while Meta’s AI Alignment director had her inbox wiped by her OpenClaw agent. PocketOS even had its entire database wiped in nine seconds by a rogue Cursor tool, which was compounded by its cloud provider’s lack of safeguards.

While the AI tool going out of bounds is the primary reason for these errors, the user is also partly to blame for thinking that it can fully understand what they want it to do. That’s why AI LLMs should never be given full access to important systems, and they shouldn’t have free rein to run delete commands like “rm -rf.”

This event will be a learning experience for u/Ecstatic-Big5126. But as AI agents increase in popularity, especially among inexperienced programmers and developers, we can only expect incidents like these to happen more frequently in the future.

The State Corporation Commission, Virginia’s independent state agency that regulates public utilities, has ordered data centers to pay for all the required transmission infrastructure that the project will use exclusively. According to Realtor.com, Governor Abigail Spanberger (D) has recently been pressing AI hyperscalers to reduce their impact on the power grid and utility prices.

Virginia currently has the greatest number of data centers across the U.S., with the state hosting at least 570 sites. Because of the massive power demand of these sites, the state has been experiencing issues with electricity price hikes, with one county even asking its employees, including schools, to conserve power. PJM Interconnection, which distributes power to the state, has increased prices by 76%, with Monitoring Analytics, the independent watchdog keeping an eye on the utility company, saying that this is mostly due to AI data centers.

The move requiring data centers to pay for their own upstream electrical infrastructure should, hopefully, ease the burden on the average Virginian. "We are taking real steps to address rising energy costs for Virginians," said Gov. Spanberger. "I will continue to work with the General Assembly and take action to make sure data centers pay their fair share, adhere to strict environmental standards, and listen to the concerns of local communities.”

This is one of the first statewide announcements that will enforce President Donald Trump’s ratepayer protection pledge. Trump summoned the biggest AI hyperscalers to the White House in early March and made them promise that they will “pay their own way” when it comes to building the infrastructure they need. But despite this, the burden of more expensive electricity hasn’t eased for the average American. The administration expanded this promise in late July to include state governors, utility companies, and data center developers.

Many critics said that this pledge is nothing but a piece of paper, with some comparing it to a “pinky promise.” After all, this is just a commitment and not a regulation that would penalize companies that don’t comply. Nevertheless, it seems that it has spurred at least one state to make a move that should, hopefully, have a material impact on the average citizen.

Aside from Virginia, Oregon is the only other state, so far, that has raised electrical rates for large consumers, like data centers. According to the Oregon POWER Act, facilities that consume 20 MW or more are assigned to a higher rate class. Portland General Electric, the state’s largest power supplier, has already implemented this, resulting in a 30% rate increase for these big power users, while also cutting residential costs by 1.3%.

While the average consumer isn’t necessarily paying for the power that data centers consume, utility companies had to conduct massive grid upgrades to support the increased demand from these developments. The utility companies then equally passed on all the necessary capital expenditure to all consumers, instead of just the data centers. By requiring data centers to spend on their own grid upgrades, further increases in electricity prices could, hopefully, be prevented.