Grand Theft Auto VI, or as its friends call it, GTA 6, will be a console-only game when it goes on sale on November 19. But while Rockstar Games has yet to confirm when PC gamers will be able to get in on the action, a new GamesBeat report claims that it will be within the first three months of 2027.

With GTA 6 launching on Xbox Series X|S and PS5 in around a month, PC gamers have been left wondering if they should consider picking up the console version — and even buying a whole new console to play it. But GamesBeat reports that might not be necessary, with a Q1 2027 release potentially sooner than a lot of gamers had worried may be the case.

Those gamers had plenty of reasons to be worried that a longer wait could be in the cards, too. GTA V was released on consoles around a year and a half before the PC version. Console gamers were able to put the game through its paces in September 2013, with PC owners waiting until April of 2015.

While far from official, the news comes from industry sources "familiar with the studio's plans," although they were given anonymity for obvious reasons.

It's perhaps no surprise that Rockstar Games is keen to open GTA 6 up to as many potential buyers as possible. It's thought to have cost upwards of $2 billion to create, and making that money back is a lot easier when you add PC gamers to your list of customers.

Rockstar Games will also likely want to get its money-making online version of GTA 6 into the hands of players as soon as possible, too. It won't be ready at launch, but is expected to debut in 2027.

While GTA games have historically been popular among console gamers, there are reasons to choose the PC version if it's available to you. The console version of GTA 6 is expected to run at just 30 FPS at launch, for example.

GTA 6's development hasn't been an easy one. The game itself is thought to be in the hands of "Cyberleek," someone who has already shared clips of the game and has threatened to leak the entire game if their demands are not met. Those demands include their memecoin reaching a $30 million valuation, perhaps hinting at their true motivation.

Chinese tech companies have bought more than 1 million Nvidia gaming and workstation GPUs to plug gaps in demand for AI computing power, Financial Times reports. The report cites industry insiders who claim the buying spree highlights an ongoing and significant reliance on U.S. AI hardware, despite a burgeoning homegrown market.

The report firstly notes that China's national strategy for developing AI has led to a doubling of domestic AI chip production this year; however, the country cannot keep up with demand from its biggest tech companies. The report cites a shortfall of nearly 1.5 million chips, with only 3.5 million expected to be manufactured domestically while demand "far exceeds" 5 million. To compensate, China is purportedly turning to Nvidia's gaming and workstation processors, which are compliant with U.S. export controls, repurposing them for AI.

According to FT, the chips are "mostly" Nvidia's RTX Pro 6000D, RTX Pro 5000, and the RTX 5090, the latter of which is the best graphics card on the market for enthusiast gaming. As the report notes, these Blackwell chips can't compete with Huawei's Ascend 910C and other homegrown flagship offerings, but they are useful for "simpler AI workloads," such as prefilling.

This is significant pressure on a GPU market where prices for enthusiast cards have already skyrocketed. The RTX 5090's MSRP is $1,999; however, the card can now only be found at a handful (three) of third-party resellers for no less than $7,199, and has all but disappeared from the market.

The report highlights that demand for Nvidia's GPUs is driven in part by its CUDA software, which remains more favorable than Huawei's Cann alternative.

As for the enthusiast market, it was recently reported that Nvidia has halted RTX 5090 production, to be replaced by a 24GB RTX 5080 flagship. That would mark a significant step down from the 32GB the 5090 currently boasts, a troubling sign for enthusiasts that the enthusiast gaming GPU market appears to be receding, rather than advancing.

Anthropic's Frontier Red Team has demonstrated two components of a potential AI-powered worm that, if key issues with the practical implementation are resolved, could spread across consumer devices including inexpensive Android TV boxes and smart appliances, hypothetically without relying on datacenter infrastructure. The experiments show that AI agents can configure inference across different hardware platforms and orchestrate replication across a network. There are still some serious limitations, though, particularly around the gap between the capabilities of today's models versus the hardware constraints of potential targets.

In its October 12 report, titled "AI models may be capable of self-replicating without access to a datacenter," Anthropic examines a potential class of malware called a weight-based replicator. Rather than distributing conventional executable code, it would propagate AI model weights alongside the software infrastructure needed to run inference on compromised devices, and it's not pure theory, either.

The researchers demonstrated that Qwen3.5-9B can establish an inference server on eight of nine tested hardware types, spanning NVIDIA Jetson Nano devices, Apple Silicon Macs, Xeon servers, a Google TPU, AMD's MI300X, and at least one PC with an RTX 4090, among others. They also ran Gemma4-26B-A4B across 15 off-brand Android TV boxes costing approximately $55 each, achieving a combined generation rate of 0.39 tokens per second.

Anthropic also tested whether a model could orchestrate replication across a network. The experiment used eight Google Cloud nodes running Android 15 emulators. A seeded agent propagated between nodes through an unauthenticated Android Debug Bridge (ADB) port, transferring files and establishing an inference server on each target. GLM-5.2, a titanic model with 744 billion parameters over 1TB in size, completed the replication sequence across all eight nodes in four of five trials, reaching seven nodes in the remaining trial.

No other tested open-weight model was able to complete the sequence at all without orchestration from GLM-5.2, and they weren't able to meaningfully ask a larger model for help, either, despite being equipped with the capability. Naturally, GLM-5.2 wasn't actually replicating itself onto smart TV boxes; instead, it established an inference server for the much smaller Llama 3.1 8B on each target. GLM-5.2 ran on a separate inference server because the emulated nodes couldn't handle the larger model.

In other words, Anthropic demonstrated that a very large, externally hosted model can orchestrate a simplified replication sequence across machines with deliberately exposed ADB interfaces, and it showed that small models can set up inference, but it absolutely hasn't proven that a small model can independently replicate itself across consumer hardware. That distinction, admittedly fine, is nevertheless pretty important when the entire premise is that small models could soon spread without relying on datacenter infrastructure.

The experiments expose a central constraint of the research: models capable of reliably completing the replication sequence aren't currently small enough to run on inexpensive target devices, while models that fit within those devices' memory budgets, despite being capable of setting up inference, still can't reliably complete the entire process. This gap between the intelligence needed for reliable replication and the maximum model size that target hardware can support means that this threat model isn't really applicable right now, but Anthropic warns that gap could narrow, and potentially soon.

Using historical improvements in general AI capability (measured through the Epoch Capabilities Index), Anthropic projects that a model within the 30-billion-parameter class could reach the necessary capability level by the end of 2026. But once again, that's a hypothetical, and it still doesn't address the substantial efficiency problem.

Based on measured inference performance and the token requirements of its setup experiments, Anthropic estimates that establishing an inference environment would take approximately 28–51 hours for Qwen3.5-9B and 71–150 hours for Gemma4-26B-A4B at the observed throughput of its cheap Android TV boxes, and it’s worth noting that the boxes it used are configurations with 4GB of RAM, a relative luxury among these cheap set-top boxes. A model-driven replicator could take days to establish an inference environment on a new host, whereas conventional malware can execute its payload within seconds when its assumptions about the target hold. A conventional worm can spread to tens of thousands of vulnerable targets in minutes.

Model weights also impose substantial bandwidth and storage costs. Anthropic acknowledges that compromised hosts could download weights from external repositories rather than receiving them directly from an infected device, and that not every compromised machine would need to host a model. Nevertheless, distributing multi-gigabyte payloads and maintaining communication between machines running a sharded model would generate tremendous network traffic, making the activity very easy to detect.

Anthropic estimates that a hypothetical fleet comparable in size to the infamous Kimwolf botnet, which infected more than two million devices at its peak, could support approximately 133,000 instances of Gemma4-26B-A4B if every 15 devices collectively hosted one model. At the measured throughput (which benefits considerably from LAN latency), Anthropic says that such a fleet would provide roughly 40 Hopper H100-equivalents of inference capacity.

This is a very messy comparison that takes significant liberties with the data, but even at that it must be said that it's not particularly intimidating. We're talking about two million infected devices that must remain infected and operable for months (or years; infecting 2 million devices would take around 6,300 agent-years even with the fastest 28-hour stand-up speed) to produce less AI inference throughput than a few blades of previous-generation GPUs.

Anthropic notes that a real replicator could exploit other types of hardware, deploy different models across heterogeneous devices, and avoid loading model weights onto every compromised host. Those possibilities certainly complicate the comparison, but arguably they complicate it beyond the bounds of this discussion.

The research does identify a meaningful security concern: AI agents could make malware more adaptable to unfamiliar environments and reduce the amount of target-specific engineering required. A hybrid approach, combining conventional code for routine operations with AI-driven reasoning when unexpected conditions arise, could offer some of those benefits without requiring every compromised device to run an inference engine continuously. This is definitely concerning, but we've already seen AI agents using frontier intelligence write their own code to compromise secured systems, so that specific angle on this research isn't exactly groundbreaking.

Anthropic's experiments are useful in that they provide evidence that autonomous software configuration and simplified network replication are increasingly feasible, but turning those capabilities into a materially more dangerous class of malware will take improvements in model reliability, hardware compatibility, deployment efficiency, and the ability to overcome real-world security controls, which the firm didn’t test. There’s a ton of data and some interesting findings not discussed here in the actual paper, so if you’re interested in the research you should go check it out.

A person claiming to be responsible for the recent hack of Denmark’s national registry claimed that they were able to gain access because of an IT company’s weak password. According to The Register, Pays ApS, an IT and data services company that lets customers reference the Danish Central Register of Persons (CPR) was the source of the hack, with the hacker saying that one of the accounts they breached was only protected by a ‘123456’ password.

Copenhagen has confirmed the hack, with a government official saying that the breach was discovered 12 days after it happened when an invoice revealed an unusual amount of activity from the company. The Danish government said that 8.8 million records have been illicitly retrieved, although the hacker claimed that they do not intend to sell or leak the information. While the government did not mention which company the hacker exploited, Pays ApS managing director Sophie Laursen confirmed that the hacker used the company’s access to the database to exfiltrate the data.

This incident shows that a system’s security is only as strong as the weakest link, with the Danish database getting compromised through a third-party user’s poorly chosen password. Given that CPR essentially contains information on virtually every Danish citizen, one would expect that it would require users to at least have a more complicated password, if not two-factor authentication. This isn’t the first time that an incident reveals shortcomings in government database protection, though — Indonesia realized that it had no backups when a ransomware attack in 2024 affected over 230 public agencies, while South Korea lost 858 terabytes of data after a catastrophic fire at a government data center last year.

We expect the Danish government to overhaul its password policies in the near future, especially now that AI is making it easier and more efficient for hackers to hit their targets. Recent incidents like the attacks on South Korean banks and against the Taiwanese government were reportedly conducted with the help of AI agents. Hackers also breached OpenAI using Claude tools, showing just how potent AI has become as a hacking tool in the wrong hands. But with a password like “123456,” potential hackers wouldn’t need to use any AI tools to break into weakly protected systems.

Nvidia has today announced that its somewhat controversial DLSS 5 technology — AI-powered neural rendering for gaming — is now two times faster than the current model, marking a 10x performance leap since March. The model is also now smaller and uses up to 20% less VRAM.

Nvidia says it has achieved this through a combination of "systematic pipeline optimizations and neural model refinements." As mentioned, the latest performance jump over the current model is a 2x leap, which means that the transformation DLSS applies to games through lighting and beyond will now run at higher frame rates or more intense settings.

Nvidia says the DLSS 5 October update shrinks the overall DLSS 5 model's footprint by nearly a quarter to 118 million parameters, and reduces VRAM usage at 4K by 20%. As such, the company claims that at similar visual fidelity, the GPU overhead versus the September model has been halved. Elsewhere, Nvidia says the change can boost frame rates by up to 1.4x.

The new faster model will debut in NBA 2K27 on October 16; you can see a comparison in the video below:

Nvidia confirmed it will bring DLSS 5 to Hogwarts Legacy next month. The technology continues to be supported on RTX 50-series GPUs, as well as GeForce NOW and the new RTX Spark lineup.

Nvidia is also introducing a new faster Performance Mode for Frame Generation on RTX 50 Series, as well as RTX 40 series GPUs, and RTX Spark laptops. The company says that a new "Preset C" mode replaces the AI model previously used "to calculate optical flow for elements like UI or ray-traced effects" with a new algorithm that is faster and lighter, boosting DLSS Frame Generation, MFG, and Dynamic MFG. The company says this is worth 35% in terms of speed on the RTX 5060.

Epic Games has reportedly delayed a shooter based on Disney’s Marvel and Star Wars franchises, with its developers told to use more AI. According to Bloomberg, the yet-to-be-named game was supposed to be released in March of 2027, but its launch date has been pushed back to an unspecified date. Aside from that, the company also told the people working on the project to switch to an “AI first” production model. One of the game directors was quoted telling staff that there will be “no more handwritten code” and that the game’s art would now be “generated with full AI workflows.”

Around the same time this news came out, Epic boss Tim Sweeney posted an update on X that seemingly confirms the change. “We have a huge pivot underway here at Epic, moving developers around to retool for maximum AI acceleration,” the Epic founder said on the platform. “The aim isn’t to do the same stuff with fewer people, but to enable everyone here to build MORE and BETTER stuff, and to bring the benefits to all teams using Unreal.” Sweeney has previously criticized Steam for putting AI tags on games, calling it “irresponsible of Valve.” He says that AI is just a tool and that it’s useful for handling boring, menial, and repetitive tasks like finding errors in code or rigging 3D models. “We’re embracing AI-accelerated development, led by Epic developers who are the visionaries and creative drivers for everything we do,” Epic Games communications director Jake Jones told the publication.

The announcement still reportedly left some of the developers working on the project in a state of astonishment. They were hoping that the directive wasn’t serious or that Epic Games would change its mind about the decision, while others jokingly asked if they should ask Claude to fix its own errors. The delayed title was supposed to be the first in a series of games involving Disney intellectual property, which had invested $1.5 billion in the game developer and publisher in 2024. However, Bloomberg reports that progress on the game has suffered because it lacked the number of people required to keep the schedule on track. It seems that the company is trying to make up for lost time by pushing its people to use AI in the hopes that they’ll be able to work much more quickly.

AI is indeed quite a useful tool, with some developers using it to build surprisingly complicated vibe-coded games, like this GTA clone set in Taipei or this decompiled version of Call of Duty: Modern Warfare 2. One group even used Gemini for their free game demo, leading to a cost of $1,000 a day in AI usage bills. Despite that, many creators and developers have been against the use of AI in the industry, with one major gaming convention in the UK outright banning games that were built mostly using AI.

CXMT expects to launch its first 4F² product, a server DDR5 RDIMM, by the end of the year, company president Cao Kanyu said in remarks reported by Yicai. The memory will be built on a denser cell layout, not yet commercialized, using vertical transistors to reduce the cell’s footprint by about one-third on paper. No speeds or capacities have been announced yet for the new product.

Cao spoke about the new RDIMM at the Integrated Chips and Chiplets Conference on Saturday. A 4F² cell is 2F by 2F at about two-thirds the area of current 6F² cells at the same feature size, and designs so far all stand the transistor up. The company has produced research and patent filings on the technology with papers in 2021, 2023, and 2025, and an 8Gb full-array research example was demonstrated at IEDM 2023.

Cao said CXMT’s version, the Vertical Surrounded Gate (VSG) transistor, has a channel that stands vertically with the gate wrapped around it, allowing stronger gate control with less leakage. Most importantly, standing the transistor up shrinks the cell. CXMT now has more than 300 published patent families tied to 4F², he added. The report says the industry as a whole is moving toward 4F² with 3D solutions that decouple DRAM and CMOS processes, combining them with wafer-level hybrid bonding, which allows logic and cell density to be optimized independently. Cao also covered CXMT’s own hybrid-bonding work, which began in 2019, with published patents.

Aside from this announcement, China’s primary DRAM maker has been in the news lately for its manufacturing and market-share gains. Its fifth-generation G5 DRAM technology platform, announced Sept. 20, is in mass production. TrendForce puts CXMT’s share of global DRAM revenue at 9.5% in the second quarter, up from 7.6% in the first, good for fourth place. Last November, CXMT showed off DDR5-8000 and LPDDR5X-10667. It has revealed itself as a manufacturer to be taken seriously by the biggest existing players.

Samsung showed off a 16Gb, 10nm-class 4F² DRAM design in its ISSCC 2026 paper in February. That one also used vertical-channel transistors (VCT), with the array bonded on top of the periphery using wafer-to-wafer hybrid copper bonding. The company claims the bonding raises dies per wafer by more than 20% with the same design rules. In April, The Elec reported that Samsung had a working 4F² VCT die on its sub-10nm “10a” process, with mass production targeted for 2028. Later South Korean reports clouded that date: the VCT version has since been split off as “D0a-V” with no timeline, and there is no firm timeline for adopting 4F².

SK hynix laid out plans at VLSI 2025 for a 4F² vertical-gate platform and 3D DRAM at nodes of 10nm and below, with circuitry bonded under the cell array. The April report also puts SK hynix’s 4F² debut at the 10b node, one step after Samsung’s 10a. Micron’s plans remain less clear, with no widely reported 2026 statement.

The announcement is perhaps more interesting for what wasn’t mentioned: capacity, speed, die density, process node, named customers, or intended volume. All we have is a date and a purported cell design, admittedly well-supported by the literature, but no product that has been tested by anyone outside of CXMT. Beyond Cao’s talk, CXMT hasn’t posted a release about the product in its Chinese or English newsrooms.

South Korean reports have said that CXMT’s initial products may only partly use 4F² and that producing stable units at volume is a separate challenge. With about 11 weeks left in the year, it will be interesting to see what CXMT actually delivers.

Cryptocurrency enthusiasts are often advised to acquire a hardware wallet like one of the Ledger models, theoretically adding the ultimate layer of security. And yet not even that approach is 100% safe, as a currently unfolding investigation revealed that Ledger resellers in Southeast Asia and Europe are carrying hacked wallets laden with eSIM and LTE modules for exfiltration of recovery phrases. At least $93 million (and going) has already reportedly been siphoned off users' balances. Hardware sold directly by Ledger is so far unaffected.

The first booby-trapped wallet originated from reseller Cryptobilis, which has currently ceased all sales of hardware wallets of all brands. The offending unit came from a store in Malaysia, though Cryptobilis also sells in Indonesia and the Philippines. Researcher Mark Karpelès has been looking into hacked wallets for a while now, and one of them came via Amazon Japan, bought from a Chinese seller and shipped from Malaysia. Cryptobilis also sells other brands of wallets such as Trezor, Coolwallet, and Tangem, though so far there is no news of contamination beyond Ledger.

Ledger recommends that users who bought wallets from Cryptobilis in the past 90 days do not perform their initial setup, as that's where the private key exfiltration reportedly occurs. To those who have already done so, Ledger recommends moving their assets to a new wallet with a new seed. The data theft is performed by hiding a flexible PCB under the display assembly to capture the pixels showing the private key entered during the first setup. The information then heads off to the aforementioned eSIM+LTE combination for exfiltration.

Meanwhile, new reports have come in from Europe, as techie Johannes, seemingly located in Germany, found at least two hacked wallets at MediaMarkt, a well-known tech and appliances retailer. He bought one unit and found that it had the same exact hardware modifications as its Asian counterparts, suggesting that the Asian and European events may be related. Johannes then bought a second one at a different MediaMarkt location, and sure enough, it was also modded.

Notably, most hacked wallets found so far are confirmed to be brand-new units instead of returns. Malfeasants will often buy new hardware and return it to the store with modifications, so that the next unsuspecting customer gets bit.

Johannes had a MediaMarkt employee at one of the stores look up the wallets' stock information, and at least the one unit came from Aqipa GmbH, a Europe-wide distributor — meaning the blast radius may be much wider than MediaMarkt or Germany. Since this is a recent development, Ledger hasn't published any guidance, though we imagine it'll be similar to the aforementioned steps.

In his blog post, Mark Karpelès notes that earlier iterations of hacked wallets with eSIM cards had hand-made implants, but that, concerningly, the hardware bolt-ons inside the latest finds appear to be manufactured to order. If true, this might mean that there's a production line somewhere intercepting Ledger wallets and manufacturing hacked wallets in bulk.

Ledger publishes instructions detailing how users can verify the physical integrity of their wallets, including pictures of every component, for every model of wallet the company offers, so they can closely inspect for add-ons. Likewise, prospective users should only download software from the official Ledger website URL — a task made harder by numerous scam sites with booby-trapped software, pretending to be the official ones.

While Sony remains committed to phasing out physical media, Nintendo is taking the opposite approach. In a recent interview with the Brazilian YouTube channel Coelho no Japão, Bill van Zyll, Nintendo's VP and General Manager for Latin America, confirmed that the company has no plans to abandon cartridges.

"Historically, we’ve been very agnostic, right?" stated van Zyll in the interview.

The Nintendo executive firmly continued, "We go off what the consumer prefers, and take that into account very heavily. We also have a platform that was just launched. We're barely just over a year into NS2. It's got both digital and physical – that capability. There's no plans to ditch physical. We know how much the fans like it as well, so our position has been to be agnostic."

In an era where the gaming industry is rapidly shifting toward digital distribution, it is comforting to see at least some companies still supporting physical media. The core issue with digital purchases is that you do not truly own what you buy; instead, you are purchasing a license to access the game, unlike owning a cartridge or game disc. Some storefronts, such as GOG or itch.io, offer DRM-free downloads of the titles you purchase, but only a handful of them exist.

However, even cartridges cannot completely escape the march toward digitalization. With the release of the Nintendo Switch 2, Nintendo introduced game-key cards, physical cards that contain a license to download the full game data. Modern AAA game releases have exceeded the storage capacity of traditional cartridges or discs. For instance, Black Myth: Wukong and the upcoming Grand Theft Auto VI use this code-in-a-box model.

On the Nintendo Switch and Switch 2, cartridges max out at 32GB and 64GB, respectively. That is not much capacity by modern standards, so publishers turn to game-key cards as a compromise for a physical release. Compared with fully digital releases, game-key cards bind the license to the card, so owners can still trade or sell them like normal cartridges.

Owning physical copies can sometimes cost more than going digital, especially for Nintendo’s first-party titles. Effective as of May 2026, physical versions of first-party Nintendo titles sell for $10 more than their digital counterparts. The price increase was due to manufacturing, packaging, and distribution costs for cartridges. However, Nintendo frames the pricing adjustment differently, claiming it lowered digital game prices by $10 to pass the savings on to consumers.

Nintendo has announced plans for the Switch 2 to mirror its predecessor's lifespan, about six to seven years. No one anticipated Sony's decision to phase out game discs, so Nintendo's future remains uncertain, even though the company pledged to continue physical releases. With the Switch 2 launching just last year, we can at least look forward to another six good years of physical media.

At OCP 2026 today, Intel has given Crescent Island a proper name: the Intel GPU D-Series. For the first time, the company also shared a theoretical peak performance target for the chip: 1.3 PFLOPS of FP8. It also disclosed the final memory bandwidth to expect from these AI inference accelerators: 1.5 TB/s. This new information adds to the slow drip of disclosures Intel has made about Crescent Island throughout 2026.

We already knew that Crescent Island is the first chip to be built on Intel's Xe3P graphics architecture (or massively parallel computing architecture, really, as the chip lacks most or all of the graphics-specific functional units that would characterize a true GPU). Intel will release GPU D-Series products in an air-cooled PCIe form factor with a TDP of 350W and up to 480GB of LPDDR5X memory.

For reference, each of the 72 Rubin GPUs in Nvidia's Vera Rubin NVL72 rack-scale system can push a theoretical 17.5 PFLOPS of FP8 throughput, but each of those chips requires liquid cooling and likely has a TGP measured in kilowatts. In any event, it should be clear that the GPU D-Series is targeting an entirely different performance envelope and infrastructure requirements than Rubin.

Intel GPU D-Series products, in contrast, are meant to be deployed in traditional air-cooled rack servers scaling up to eight GPUs, like Nvidia's HGX systems. In such a configuration, Intel says that GPU D-Series chips could power inference on models spanning more than one trillion parameters. Intel also highlights the chip’s suitability for “large language models, long-context inference, and concurrent inference services," creating a foundation for "multi-tenant AI services, robotics, and other latency-sensitive workloads."

In order for that kind of distributed inference deployment to work, in which multiple GPUs will presumably act as one, Intel will also need a robust software stack. The company is highlighting the “common Xe software foundation” it’s already built for AI across its Xe Cores in iGPUs and discrete GPU products.

To bring Xe accelerators into the data center, Intel says it’s working with “a broad ecosystem of OEMs, ODMs, neoclouds, independent software vendors, appliance providers, and AI-native companies.” To that end, Intel says customer sampling of GPU D-Series products is in progress, although it didn’t provide any details of a broad launch.

It’ll remain to be seen whether the Intel GPU D-Series is the product that finally gives Intel an AI accelerator toehold after the failure of the Data Center GPU Max family (code-named Ponte Vecchio) and its mothballed follow-ons, as well as a series of silicon acquisitions that failed to coalesce into a coherent AI strategy.

But in a world that’s hungry for every compute cycle for inference, a product with a proven architectural shape that’s targeted specifically at that workload in an accessible thermal and electrical envelope might be just the recipe Intel needs to start getting traction as AI models keep advancing in intelligence and agentic workflows assume ever-greater importance in the computing vision of the future.

Bambu Lab has officially teased its S1 3D scanner, ahead of its planned release in November 2026. No details of the product have been released yet, but FCC filings and Bambu Lab’s partnership with SCANOLOGY may hint at the scanner’s capabilities and shared technology.

3D scanners are a niche within a niche, and not necessarily within the 3D printing niche either. 3D scanning is used in many fields, like game asset creation, texture assets, archaeology, prosthetics, and museum archiving; and the rise of 3D printing has created a small but growing demand in the form of reverse engineering automotive and various niche parts. However, because of PC requirements, the intensive and technical scan cleanup, and resurfacing in CAD programs, it remains a small niche; a niche currently being served by brands such as Creality with their CR-Scan line of 3D scanners, Revopoint’s Pop series, mini, and all-in-one MIRACO scanner, and SHINING3D’s Einstar prosumer-level 3D scanner.

Speculations in Bambu Lab’s own forums found FCC filings for a label and drawing of the scanner. The label shows a 60W-rated input, leading some to speculate a shared platform with SCANOLOGY’s 3DeVOK MT Gen2, a wired composite 3D scanner released in 2026, using both blue and IR lasers, and also has a rated input of 60W. The input rating doesn’t necessarily confirm that they share technology, but it does give a small hint of its potential capabilities, with the number of lasers and potentially a screen dictating the power requirements.

Considering the flat spot and the top of the handle on the FCC drawings, it looks like there may be a screen, possibly like the 3DeVOK MT Gen2. More importantly, the 60W rating with no hints of a battery on the label may mean this scanner will require a PC to operate. This is often a pain point, as you would either need a powerful laptop to bring while scanning, or use a really long USB cable to your PC. As for the price, the 3DeVOK MT Gen2 is officially priced at $8,299, which is a very high price point, further making it unlikely that they may share a platform if Bambu Lab wants to keep consumer-friendly pricing.

Brazilian developer RafaelNGP has created his own Homebrew called PSBox Cloud Gaming on his jailbroken PS5 and released it for download on GitHub. The mod, created in part using Claude, allows Xbox Cloud Gaming to run natively on a PS5, with up to 4 DualSense controllers mapped to Xbox for compatibility.

The lines between consoles and PC have been blurring lately, and even more so for the PS5, with jailbreak mods allowing for many new capabilities it was never intended for. We recently covered a story about the original Xbox being emulated on a jailbroken PS5, but a more modern and usable mod is this natively running Xbox Cloud Gaming mod. Gone are the days of switching to your Xbox or PC to play xCloud; just run it on your PS5 — that's what RafaelNGP thought to himself before making PSBox Cloud Gaming.

Rafael explains how easy it is to get it running, with just a .zip file download from their GitHub, extraction to a specific folder, waiting for a Homebrew loader to mount the “game,” then launch and sign in as usual. Users are able to sign in using their phone through a code on the TV. It currently supports a 1080p60 stream, but can be upscaled to 4K using the PS5’s GPU with AMD FSR 1 or Anime4K upscalers. The application is still not perfect, with testers reporting video issues such as macroblocking, pink artifacts, and vibration issues on the DualSense controllers, while others are thrilled and having a good experience.

As if emulating the original Xbox and playing xCloud on a PS5 weren’t enough, a comment under the Reddit post asked whether they could use local Xbox Remote Play on it, intending to stream games from an Xbox they already have to the PS5. Rafael said it didn’t work yet, but promptly created an update days later enabling Xbox Remote Play.

The PS5’s library of exclusives may be lackluster, but it seems that the PS5 has more to offer than its own games outside of what Sony intends for it, thanks to the jailbreaking community.

When GlobalFoundries abandoned development of leading-edge nodes in 2018, it also canceled the development of its 7nm-class FinFET fabrication technology that it co-developed with IBM. Almost exactly eight years later, GlobalFoundries is back with a 7nm-class manufacturing process, only this time the node relies on planar transistors and fully-depleted silicon-on-insulator (FD-SOI). It is aimed at automotive, edge AI, industrial, robotics, sensors, and other devices that prioritize low power consumption, high integration, and cost efficiency over maximum performance.

"We are delighted that GlobalFoundries has announced its next-generation 'single-digit FD-SOI; node, building on technology that CEA-Leti has been advancing for decades," said Sébastien Dauvé, chief executive of CEA Leti. "Through the FAMES pilot line, CEA-Leti continues to shape the future European roadmap for FD-SOI and works every day to promote its adoption in a wide range of applications."

FDX Fusion enters the scene

The new fabrication technology from GlobalFoundries is called FDX Fusion, and it promises 7nm-class 'digital performance' (an ambiguous claim; we will try to interpret it later) and more than twice the transistor density of its original 22FDX process introduced circa 2015. To achieve its target goals, the first generation of FDX Fusion will combine innovations in SOI substrates, transistor structures, and back-end interconnects, though keep in mind that GF has not disclosed transistor dimensions, contacted gate pitch, minimum metal pitch, or actual transistor density. GF plans to launch production of chips on FDX Fusion at its Dresden, Germany, facility in 2028, which will mark its return to the development of substantially more advanced FD-SOI fabrication processes after years of efforts to enhance its existing 22nm-class platform.

In addition to improved 'digital performance,' FDX Fusion will support RF transistors with fT/fmax of up to 0.5 THz, analog and mixed-signal circuitry, embedded nonvolatile memory, and in-memory computing capabilities. The combination is intended to enable highly integrated chips that can process information from sensors, execute AI inference workloads, control external devices, and communicate wirelessly without the need for numerous separate ICs. GF also intends to provide processor IP based on MIPS, ARC, and RISC-V architectures to accelerate the development of such products.

That being said, the main selling point of FDX Fusion is not necessarily its 7nm-class 'digital performance' and high-performance processor IP, but rather its ability to combine relatively powerful digital logic with RF, analog and mixed-signal circuitry, embedded nonvolatile memory, and in-memory computing capabilities on a single chip. This combination — which is why GloFo calls the process technology FDX Fusion — could enable highly integrated SoCs that would otherwise require multiple chips manufactured on different process technologies, which means additional tapeout costs as well as power consumption.

GlobalFoundries said it plans to deliver initial demo silicon for customer evaluation in early 2027, followed by the first process design kit (PDK) in mid-2027. The company is already collaborating with several customers on the technology, although it has not identified specific products or committed production volumes. Specifically, GF mentioned in its press release that BMW, Bosch, Infineon, NXP, Siemens, and Tesla have expressed interest in FDX Fusion, though only Infineon specifically confirmed collaboration on future 7nm-class technologies for radar and wireless communications.

Significant development

The GlobalFoundries announcement represents a significant development for GF's FD-SOI roadmap. The company introduced 22FDX in 2015 and announced its 12FDX successor in 2016, which promised performance comparable to 10nm FinFET, full-node density improvements, and up to 50% lower power consumption. Initial 12FDX customer tape-outs were expected in 2019, but the technology has never been adopted for commercial products. Instead, GF focused on enhancements to 22FDX and eventually the introduction of 22FDX+ (around the time when Samsung unveiled its 18FDS+), with additional capabilities for RF, embedded memory, and low-power applications. Interestingly, 12FDX was still a part of GF's investor roadmap in 2022.

FDX Fusion could therefore represent the realization of GF's original ambitions to scale FD-SOI beyond 22nm-class, although the company has not explained whether the new technology incorporates developments from its earlier 12FDX program. Meanwhile, CEA-Leti, which has conducted research into advanced FD-SOI technologies for years, describes FDX Fusion as a single-digit FD-SOI node. Nonetheless, GF's claim of 7nm-class 'digital performance' does not necessarily imply comparable transistor dimensions or integration density.

From an industry perspective, FDX Fusion could provide an alternative to advanced FinFET and perhaps even gate-all-around processes for applications that require reasonably powerful digital logic alongside RF, analog, and embedded memory. Such integration could reduce system complexity and power consumption, particularly in edge AI devices where energy efficiency and real-time responsiveness are critical.

Perhaps more importantly, the technology could give European semiconductor developers access to a more advanced locally manufactured process without dependence on leading-edge foundries in Asia or the U.S.

Questions remain

However, the commercial success of FDX Fusion will depend on its actual performance, density, production costs, and the availability of a competitive design ecosystem, the latter arguably being the hardest part given the lack of any comments from leading electronic design automation (EDA) and IP developers.

When GlobalFoundries claims 2X 'digital performance' comparable to that of 7nm-class technologies, it doesn't reveal whether it means transistor switching speed, standard cell performance, achievable operating frequency, or something else. In addition, the company promises more than twice the logic density of its first-generation FDX technology, although the firm does not reveal any actual numbers. Consequently, it is unclear how FDX Fusion will compare with established 7nm-class FinFET technologies, which offer mature defect density and yields, plenty of supply, an established design ecosystem, and predictable pricing among other things, in terms of transistor density, performance, power consumption, and production costs. While CEA-Leti's comment seems promising, actual numbers are always better.

The very fact that GF's FDX Fusion planned 2028 introduction will come roughly nine years after the originally anticipated first 12FDX tape-outs illustrates significant technological and/or financial difficulties associated with the development of FD-SOI beyond the 22nm generation. So, while GlobalFoundries' FDX Fusion initiative certainly looks promising, it remains to be seen how that is going to play out for the contract chipmaker and its clients.

For now, the lineup of supporters from the automotive and industrial sectors — BMW, Bosch, Infineon, NXP, Siemens, and Tesla — certainly looks promising. But what about other applications? While established semiconductor companies such as Infineon and NXP already possess extensive processor IP portfolios, smaller fabless developers could benefit from GF’s MIPS and ARC processor cores, RISC-V expertise, and custom chip design capabilities, which could substantially reduce the cost and complexity of developing specialized SoCs. Still, to attract a broader range of chip developers, GlobalFoundries will need a mature ecosystem of EDA tools, standard-cell libraries, memory compilers, interface IP, and other silicon-proven building blocks. These are the things that GlobalFoundries has not touched upon in its press release.

Just five years after bringing its Software Guard Extensions (SGX) technology to its mainstream server platform, Intel on Friday announced plans to discontinue its support after its upcoming Xeon 'Diamond Rapids' CPUs and concentrate its confidential computing efforts on Trust Domain Extensions (TDX). The company will continue to support existing SGX-enabled platforms into the early 2030s, but at the same time will expand TDX capabilities to address emerging requirements of cloud computing, enterprise workloads, and agentic AI applications.

Without a doubt, data sovereignty requirements are an increasingly important factor as organizations seek to protect sensitive information from unauthorized access even when they process it on infrastructure operated by third parties. Although both Intel SGX and TDX are designed to protect sensitive information while it is being processed, they use substantially different approaches.

SGX provides hardware-protected enclaves within applications to isolate selected code and data from other software, including the operating system and hypervisor. By contrast, TDX isolates entire virtual machines from the underlying host environment, including the hypervisor and other VMs. While SGX requires developers to design or modify applications to use protected enclaves, TDX can protect existing workloads inside confidential VMs without extensive changes to individual applications, something that makes TDX particularly attractive to cloud service providers that operate large numbers of virtual machines.

While both SGX and TDX have faced numerous security vulnerabilities over the years, including side-channel attacks, privilege-escalation flaws, and attacks against their attestation mechanisms, Intel does not cite security concerns as a reason for its decision to discontinue SGX.

Intel's decision to phase out SGX reflects the industry's preference for VM-level isolation over application-specific enclaves. According to Intel, TDX provides scalability, ease of deployment, and the operational model required for widespread adoption of confidential computing. Although SGX enabled confidential computing in the data center and continues to serve security-conscious customers, Intel believes future demand will favor TDX. Diamond Rapids will therefore be the final Xeon generation to support SGX, which gives customers several years to validate alternative solutions based on TDX and migrate existing applications. Intel will continue to provide security updates and support for SGX-enabled platforms into the early 2030s, so its customers will have plenty of time to adopt TDX for new deployments.

Meanwhile, Intel plans to expand TDX capabilities with additional security technologies. These include Intel TDX Connect, which is designed to enable trusted I/O, as well as post-quantum cryptography and enhanced attestation mechanisms. Trusted I/O is particularly important for workloads that communicate with external devices, as protection of computations inside a virtual machine does not necessarily extend to data transferred between the VM and accelerators or other peripherals (read, CXL expanders, though Intel has not stated this for sure). Improved attestation will help organizations verify the integrity of protected environments, while post-quantum cryptography will help address future security threats. Meanwhile, Intel has not disclosed specific availability dates for these enhancements.

One important driver behind Intel's confidential computing strategy seems to be accelerated adoption of agentic AI. Unlike conventional applications, autonomous agents may access sensitive enterprise information, execute operations across multiple systems, and interact with other agents. Intel expects many such workloads to run on CPUs, and here TDX may offer practical advantages for agentic AI applications. Unlike SGX, TDX can protect entire agent execution environments without extensive software modifications and enable multiple agents to operate in separate, hardware-isolated VMs on shared infrastructure. For GPU-accelerated AI workloads, Intel works with Nvidia to coordinate confidential computing technologies across CPUs and GPUs to extend protection to sensitive data and AI models throughout the processing pipeline (which is obviously broader than Intel's development of custom Xeon CPUs for Nvidia).

Intel TDX is already available through major cloud providers, including Alibaba Cloud, Google Cloud, IBM Cloud, Microsoft Azure, and Volcano Cloud. Meanwhile, Red Hat, Canonical, and VMware are adding TDX support to their software platforms to enable adoption in private clouds and enterprise environments.

Frore Systems has introduced its bespoke LiquidJet Diamond liquid-cooling coldplate series that uses a diamond surface combined with a multi-stage 3D short-loop jet-channel microstructure to address precise hotspots on next-generation AI accelerators, such as AMD's Instinct MI400 and MI500-series, Nvidia's Rubin, and beyond. The company claims its new coldplates can handle hotspots with power densities reaching 770 W/cm², reduce GPU temperatures by up to 22C compared with conventional coldplates, and improve AI token throughput per watt by as much as 35%.

LiquidJet Diamond combines the expertise it used for its original LiquidJet coldplate product and the LiquidJet Nexus bespoke coldplate for Nvidia Blackwell and Nvidia Rubin-based servers. Unlike Nexus, which integrates multiple coldplates into a large cooling assembly for several processors, LiquidJet Diamond is an individual GPU coldplate, albeit a bespoke one.

From an internal technology perspective, Frore’s coldplates employ a three-dimensional, ultra-short-loop, multi-stage architecture with coolant channels customized for the power distribution of a specific processor. Meanwhile, the key innovation in LiquidJet Diamond is an additional heat spreader integrated into the bottom of the coldplate. This spreader incorporates diamond wafers positioned directly above the GPU’s hotspots to distribute heat more efficiently before it reaches the liquid-cooling structure. Diamond (carbon) has exceptionally high thermal conductivity, which can exceed 20 W/cm·K, compared with approximately 4 W/cm·K for copper. According to Frore, the addition of diamond heat spreaders allows LiquidJet Diamond to handle hotspots with power densities of up to 770 W/cm², compared with approximately 600 W/cm² for the original LiquidJet. However, the company has not disclosed how the diamond wafers are manufactured or integrated into the coldplate.

According to Frore, its original LiquidJet coldplate reduces GPU temperatures by approximately 12C compared with conventional skived coldplates (based on its simulation model), which translates into a 25% improvement in AI tokens per watt, according to the company’s estimates. Meanwhile, a custom Liquid Diamond heatspreader promises to further reduce hotspot temperatures by up to 10°C, while the complete LiquidJet Diamond solution provides a 16C – 22C reduction in GPU temperatures and improves token efficiency by 30%–35%, Frore claims. The company also expects 75% higher heat-transfer efficiency and over 150% higher maximum hotspot power density than conventional cold plates based on its models.

Frore plans to demonstrate LiquidJet Diamond at the OCP Global Summit on October 12 – 16, where it will showcase cooling for Nvidia's 2,300W Rubin accelerator and hotspots reaching 770 W/cm². However, the company has not disclosed whether the demonstration involves production GPUs or some type of thermal test vehicle.

AMD is bringing a new reference rack-scale design to the data center ecosystem with Helion. It’s a standardized, 21-inch rack reference design that will complement the Helios rack AMD revealed at OCP Global Summit last year. This year, we have Helion, which AMD says can house up to 32,768 Zen 6 cores in a CPU-only deployment using the dense 256-core design available with the EPYC ‘Venice’ 9996.

The rack design is standardized, based on the Open Compute Project’s ORv4 specification, which is slightly wider and taller than a standard IT rack. Helion is designed to support 44 OpenU trays, which are 21 inches wide and 48mm tall, slightly larger than a standard EA1-310 tray. AMD says the reference design supports both air-cooled and direct liquid-cooled deployments.

The design is also compliant with OCP’s DC-MHS (Data Center Modular Hardware System) standard. MHS is designed to bring “interoperability between key elements of data center, edge, and enterprise infrastructure,” according to OCP.

Although AMD has renders of the design you can see in the presentation below, it won’t actually sell racks. This is a reference design that AMD is contributing to OCP, and OEMs and ODMs will actually bring that design to market. AMD didn’t share partners supporting Helion during a pre-briefing with the press. The company says CEO Lisa Su will announce partners during the lead keynote at the OCP Global Summit later today.

AMD also didn’t share deployment partners, though it suggested that Helios customers will also deploy Helion racks.

Unlike Helios, which is built for AI training and inference, Helion is a more flexible rack solution primarily focused on CPUs. In a CPU-only deployment, the design can hold up to 128 EPYC 9996 CPUs, bringing that impressive 32,768 core count per rack. This configuration would likely look something like an agentic AI sandbox system, which is then connected to an inference system.

This model for personal AI agents is in use today, both in Meta’s Muse and OpenAI Dots. Each user has a sandbox with a slice of compute from the host system, with the backbone of an inference server. Some workloads are handled on those CPU-only servers, such as building software, but the heavy-duty AI inference happens elsewhere.

Presumably, this is the model AMD is aiming at with Helion as hyperscalers build out CPU capacity on the back of agentic AI. However, the design is flexible, supporting up to 16 MI350P GPUs and 102 Tbps of networking, though at the cost of CPU capacity. This hybrid configuration is targeted at enterprises, says AMD, giving them an all-in-one rack for data management, networking, and AI usage.

AMD says the Helion rack will be available starting in the first half of 2027, likely riding the wave of Zen 6 deployments that are expected to start ramping up later this year.

Full AMD OCP 2026 presentation

In its latest industry report, TrendForce has projected that global notebook shipments could witness a decline of a low single-digit percentage in 2027. Laptop manufacturers are also expected to reconsider their production strategies as rising costs make manufacturing outside China less attractive. The share of global notebook production outside China is projected to fall from 24% in 2025 to 21% in 2026 and potentially below 20% in 2027.

The biggest concern is expected to be the shift from component availability to weakening consumer demand, as manufacturers continue to tackle high CPU, DRAM, and SSD prices. The firm also added that if component prices continue to remain on the higher side, brands might pass more of these costs on to consumers.

Notebook shipments are expected to benefit from improved CPU availability and manufacturers stocking up on components in 2026. However, TrendForce warns that it does not directly translate into healthy demand. In anticipation of higher prices, certain customers have upgraded their devices earlier than planned. Essentially, fewer people will be looking forward to buying new laptops in 2027.

Additionally, once inventories purchased at lower prices gradually run out, manufacturers will face greater pressure to absorb higher component costs or pass them on to consumers. Increasing the retail price could further weaken demand, while absorbing the additional costs would squeeze profit margins. Manufacturers could also make changes to specifications, including memory capacity, to control production costs, potentially making their products less competitive.

It is estimated that the CPU, DRAM, and SSD account for approximately 68% of the bill of materials (BOM) cost for mainstream notebooks with a $900 manufacturer’s suggested retail price in the third quarter of 2026. TrendForce said manufacturers are unlikely to maintain pricing, specifications, and profitability simultaneously in 2027.

Rising component costs will continue to put pressure on manufacturers. While DRAM supply is likely to remain tight due to AI demand, NAND flash availability could improve in the second half of 2027. TrendForce says the key challenge will be whether consumers can absorb higher laptop prices. If manufacturers manage to limit price increases by adjusting specifications and absorbing some costs, shipments could decline by a small percentage in 2027. However, if higher costs are passed on to consumers, the decline could reach the high-single-digit range.

A vibecoder and modder has revealed they successfully launched Minecraft inside a modded iPhone port of GTA V, immediately showing the Minecraft HUD and loading in Steve. This was done using Claude Opus 5.5, doing everything from writing the code to testing the game; 0xProbability claims that they have not touched the phone while Claude successfully flies the Ender Dragon around Los Santos.

Minecraft in GTA V isn’t surprising, considering the vast amount of wacky mods you can put into the game. However, running it on an iPhone, now that’s just absurd. 0xProbability wasn’t the one to port GTA V onto the iPhone; they credit that to C22, a student of EPFL, a prestigious school in Switzerland. C22’s port is impressive; it’s running GTA V natively on the iPhone, based on a version of GTA V that was adapted to run in a web browser, and making that run as a native iOS application instead — even supporting multiplayer. The README states that it runs on iOS 15 or later and even macOS 14 or later on Apple silicon, ideally with 8GB of RAM or more. The port runs at an impressive 50-60 FPS on an iPhone 17 and only uses 1.1GB of RAM, as shown in C22’s video on X, showcasing their work.

As if GTA V on an iPhone isn’t impressive enough, vibecoder 0xProbability modded this version of GTA V with Minecraft. Before putting it on the iPhone, the developer experimented with possibly the same browser version of GTA V with Minecraft, complete with block-building mechanics, not just Minecraft mobs and characters. On one of their posts, they stated: “It’s crazy what you can run in a browser nowadays,” emphasizing how web browsers used to be for simple .io games, while in 2026, you can now play heavy 3D games on them.

While it would be impressive if the developer manually modded the iPhone port of GTA V himself, it’s also interesting to see how much Anthropic’s Claude Opus 5.5 is able to write code and test it all on its own.

A GitHub programmer has created an Nvidia bug tracker page that compiles each driver update’s release notes and feedback threads on the forums, logging progress on 462 different driver bugs. They first shared their creation, called NvidiaWatch, in late September and then released an update on the r/Nvidia subreddit earlier this week.

The programmer said that each bug gets its own page, meaning anyone affected by it could easily track if the latest driver update has already solved the issue. Each driver update also gets a dedicated page that includes the release notes, fixed bugs, and open issues that Nvidia couldn’t address yet. The creator also added a chart that tracks the number of known issues that were fixed during that release, fixed in a later release, remained open, and those that were carried over from an earlier driver release.

This website is quite useful for anyone running into issues with their Nvidia hardware, as they’d be able to track whether their problem has already been recognized by the company and whether it has done something about it. It’s also a good idea for anyone wanting to update the driver on their GPU to consult NvidiaWatch first; that way, they could avoid some nasty surprises like the fan control bug that came with the GeForce 595.59 driver.

Hopefully, someone could create a similar update but for Windows updates. A website like WindowsWatch would absolutely be useful, especially as the Microsoft operating system has a lot more users than Nvidia GPUs. This would help savvy users determine if an update is problematic, allowing them to roll back or pause updates before they encounter an issue, while also making Microsoft’s notes easier to understand for the layperson. Having a trend graph could also pressure Microsoft to fix issues much more quickly, as users could now see the number of problems piling up between fixes. This would be a bit complicated, though, especially as there are many different Windows versions, with some updates only affecting a few versions.

An ongoing cyberattack has reportedly struck major supermarket chains across Europe, disrupting refrigeration control systems. The attack — which has reportedly seen units set to continuously defrost at 50 degrees Celsius — is also apparently affecting deliveries and in-store pricing powered by electronic shelf labels, La Dépêche reports.

According to the report, "several" major retailers have been targeted by a cyberattack, which has hit Danfoss-made refrigeration controls used by French supermarkets Intermarché, Leclerc, and Coopérative U. Indeed, the latter's president, Dominique Schelcher, has confirmed as of Monday morning that "A cyberattack has been affecting the refrigeration production facilities of several stores in our network since last night." Schelcher said teams had been mobilized to fix the issue and promised an investigation into the incident, which he described as "extremely serious."

The report states the units have had their automatic defrosting systems activate, but that hackers have also configured the function — which normally runs for just two hours a day — into a continuous, forced defrosting cycle with the temperature set to a toasty 50 degrees Celsius. Sources reportedly described "a wave of heat" escaping from fridges and freezers

Early reports indicate losses are already approaching 300,000 euros, but could run into several million euros nationwide. Separately, NOS in the Netherlands reports that several supermarket chains have been hit with a malfunction due to a cybersecurity incident on Sunday afternoon. Albert Heijn, Etos, and Gall & Gall have had their websites taken down, impacting deliveries. Electronic shelf labels have also been compromised, disrupting in-store pricing. "We have immediately taken measures to protect our IT environment. Part of this involves the preventive temporary shutdown of a number of systems," Albert Heijn said in a statement.

It is unclear at this stage whether the two attacks are related or how widespread either of them is. Belgium's Delhaize chain, which belongs to Albert Heijn, has also reported disruption. Images online show stores in Amsterdam warning customers about price problems, and the suspension of loyalty programs that have also been impacted by the incident.

A GPU repair specialist has uncovered another GPU scam involving a counterfeit RTX 4090, with a fake GPU die and memory chips designed to resemble genuine components. The graphics card was purchased for 30,000 Rubles, or approximately $350, as a potential repair project. However, upon close inspection, it was revealed that the board was fitted with dummy components.

According to VIK-off (h/t VideoCardz), the Russian repair specialist received the GPU from a customer who purchased the card as a bare printed circuit board (PCB). Since the original cooling system was missing, it was difficult to verify whether it actually worked before the purchase was made. Now we’ve seen similar scams in the past, but this particular case stands out due to the sheer effort that was put into making the counterfeit components.

According to Vik-Off, the counterfeiters managed to replicate intricate details including the labeling, GPU package, chip markings, as well as the compound surrounding the processor. The fake GPU die was even soldered onto the PCB using a ball grid array (BGA), making it appear as though it had been installed during the original manufacturing process.

However, certain inconsistencies gave it away, like the color of the substrate, surface reflections, and certain lettering. After removing the fake GPU package, the repair specialist found that its contact area did not resemble that of a functional processor, while the solder mask started to deteriorate during cleaning.

Even though the memory chips looked genuine at first, removing one of the packages revealed what appeared to be GDDR6 memory rather than the GDDR6X chips used on the RTX 4090. The markings on these chips closely resembled genuine Micron memory packages, making the counterfeits even more difficult to identify. Vik-Off suspects the PCB design could be based on an RTX 3090 Ti, although there is no conclusive proof.

This isn’t the first time a counterfeit RTX 4090 has made its way into the hands of customers. Back in June, Chinese hardware shop owner Brother Zhang came across a broken RTX 4090 that had been purchased for around $222. A closer inspection revealed that the card was essentially a replica with a plastic imitation of Nvidia’s AD102 GPU die instead of the actual silicon. Additionally, the "TW 3043E2" marking indicated that the card was somehow manufactured in 2030.

One should always be cautious when purchasing used high-end graphics cards, especially those marked as repairable or untested. The onboard components and chip markings might look convincing, but that does not guarantee that the hardware inside is genuine. Always ask the seller for proof that the card works and, whenever possible, drop it in a system and test it before handing over your money.

Developer Maurice Heumann details in his blog how AI agents were able to decompile Call of Duty: Modern Warfare 2 (2009), which the post calls only “a popular first-person shooter,” in an effort to rebuild its source code in C++, taking three months and over 500 billion tokens. The agents originally attempted to cheat a byte-for-byte check added after the first month of code ran, but it was “semantically wrong,” and now 99% of the game’s functions are present, with 83% matching the original.

Heumann’s goal since the beginning has been to produce an “accurate, stable and feature-complete recreation,” and he wrote on X less than two weeks ago that the game was fully playable. By his estimate, the project consumed 600–700 billion tokens. In another X post, he said he doesn’t pay for his own tokens but put the cost at about €1,200 with subscriptions or $200,000–$250,000 with API tokens.

The difficulty turned out to be not in producing the code but verifying it was correct, forcing the developer to create a check and to make sure the agents couldn’t game it. The other challenge, as he put it, was that “corporate America was here to ruin our fun.” Two earlier blog posts on the project have since been removed, and the video in his Sept. 30 X post was disabled after a report by the copyright owner. No comment from Activision is currently on record.

The method includes pointing a fleet of agents, using Anthropic’s Claude and OpenAI’s Codex, at the original 2009 PC game. Heumann started with a Claude Max (20x) plan, then added Codex Pro and used both simultaneously. These are flat-rate plans and do not use per-token API billing. “Most of the time,” the developer relied on Sonnet 5, although Opus 5.5 and OpenAI’s Luna, Sol, and Terra were “also used a lot.” For harnesses, he relied mostly on the Claude Code and Codex CLIs.

The agents read the code through IDA using Hex-Rays’ ida-mcp server. The work started with four agents, three workers and a reviewer; by Sept. 30, he wrote on X, it had “17 agents working in parallel.” Keeping all of this straight meant having one GitHub issue per translation unit, and having all agents and humans share a single Discord channel with GitHub webhook CI posts. The developer also tuned the auto-compaction threshold, from the default 90% of the context window maximum to 42% to help clear finished functions out of memory. Agents also had a tendency to drift, so an hourly cron job had them reread instructions.

The agents’ first month of code was extremely readable but “semantically wrong” for multiple reasons: wrong function signatures, types and struct layout issues, and logic that was invented or removed. The agents also made unneeded architectural changes, such as turning a config-variable lookup into one that was “orders of magnitude more expensive.”

The reviewer agent failed to stop this as there were no objective acceptance criteria, and the workers’ comments justifying their changes “effectively acted as unintentional prompt injection,” Heumann says. The team eventually stripped all comments from the source, which “helped a lot,” he wrote on X. An attempt to salvage the first four weeks of code took more time than starting from scratch would have.

The answer was an automated check, so the team switched to the same compiler used to build the original game. A script compares each rebuilt function against the game’s executable at the byte level. Calls and data references are at different addresses and are skipped, with target symbols and offsets checked instead, but data and types get the same check. Then it’s a simple matter of pass/fail for each function, and every match is recorded so CI can recheck it and alert on regressions. While this type of matching is slow and sometimes challenging, a match guarantees identical behavior down to reproducing original bugs.

Even with this positive change, the agents immediately tried to cheat by writing “inline assembly” and “repeatedly tried to modify this script to exclude their function from comparison,” Heumann wrote. Inline assembly and similar shortcuts were then banned in the agents’ instructions, and CI now hashes the verification script and checks it against a hash stored as a GitHub Actions secret. Agents cheating is an expected outcome at this point with many such reports, such as when OpenAI’s models went after ExploitGym answers instead of solving the capture-the-flag challenges directly. As Heumann discovered, having a reviewer agent alone may be insufficient.

Before the check was originally implemented, the cheaper, less capable Haiku and Luna models “produced extremely bad results,” the post says. With the check in place, there was sufficient feedback to make the models work, which cut costs and let the project scale up. After almost two more months, 99% of the functions were present, with 83% meeting the byte-exact requirements. Heumann believes the 16% lacking a byte match are still semantically correct, but diminishing returns were getting real. The blog claims the game “runs flawlessly” as it stands.

For “obvious reasons,” the project’s code is remaining private and will be used “for my own needs only,” Heumann says. As he put it on X, the “decompiled code is obviously also copyrighted.” However, the developer has started extending Sogen, his userspace emulator, into lightweight sandboxing for agents, a response to his project’s agents wiping VMs. It will not be production-ready for a while.

As for the decompilation project, Heumann says that it is a special case, as not every project can do a byte-for-byte reference, but thinks every project can get close “with enough creativity.” One takeaway lesson is that you should be willing to move past failures as “Generating code is cheap now. Throw it away if it’s bad” and focus on correctness over productivity.

Redditor u/cal93 had the used PC they bought for $650 from an unnamed seller suddenly blocked from working by a remote trigger. According to their post, they bought the computer a few months ago on OfferUp, but downloading a Windows update last month led to the situation. Fragile, which is NZXT’s partner that runs the Flex subscription program, commented on the thread, saying that the PC they bought was a rental and that the seller had no right to sell it. We spoke with the Redditor, and documents reviewed by Tom's Hardware confirm that they were sent an entirely new PC by Fragile, free of charge, to replace the stolen PC they originally purchased, with the requirement that the stolen PC be turned in to the police.

“We’re sorry you’ve been put in this situation. The PC you purchased was being rented through NZXT Flex, and the person who sold it to you did not own it or have the right to sell it. We understand you paid for what you believed was a legitimate purchase, and we want to help,” the company said. “Please email us or call/text with a link to this thread so we can connect with you directly. You can also DM us here on reddit. In situations like this, we typically work with the buyer and local law enforcement to help pursue the seller. Please keep any messages, the original listing, and proof of payment.”

This response was great news for u/cal93, who said that they were using the computer for school. They added to the thread that they were happy with the proposal and would provide more details once the company gave them the green light. u/cal93_’s latest Reddit update gave us more details about the transaction. They said that the seller sold the PC to them, which appears to be an NZXT Flex One unit worth around $1,500, for $650. When Fragile saw the post and reached out, the company asked for proof — receipts, chats, and seller information — after which it agreed to replace the “bricked” PC. The Redditor is just waiting for the shipping label and instructions to drop off the device at FedEx and then hopefully get their replacement soon after.

NZXT’s PC rental program started back in 2024 and is one solution for a person who needs a computer right now but can’t afford the upfront spend requirement of buying one. However, the program faced issues a little over a year in, resulting in a RICO lawsuit in California. This ended with the company paying a settlement earlier this year, totaling $3.45 million, to affected customers. Because of this, some commenters call this move a “rare” win for the user, while also earning NZXT and Fragile some positive feedback.

Whatever the case, the Redditor said that they got the best possible scenario, as they will get a new PC to replace the one they were scammed on. Fragile also said that it will pursue the person who sold the rental NZXT PC, so they’re not getting away scot-free either.

A Reddit post by user markpronkin (“OP”), titled “54gb vram for 35$,” says the user purchased an old crypto mining rig, originally discovered in a garage, for a negotiated 3,000 rubles, or about $35. The rig was rusty, and the buyer “had zero idea if it works, so did the seller,” with a pre-purchase test request refused. However, on the first try, all nine Nvidia P106-100 GPUs, with 54GB of VRAM between them, worked. The initial test: a successful local run with the 35-billion-parameter model Qwen3.6-35B-A3B in Ollama, which operated at over 30 tokens per second.

The rig was discovered in a “damp garage” the seller had purchased years earlier, then listed on Avito, a Russian classifieds site. The OP had concerns about whether or not the rig would work and offered to test it and pay more if it functioned, but the seller refused, and the price was negotiated down without a test. The cost was low enough to take the risk, the buyer said. Even in the case the rig worked, performance was imbalanced, as the main system has a weak Celeron CPU with very little system memory.

The setup was originally intended for crypto mining with specialized Nvidia P106-100 GPUs, Pascal-generation cards with 6GB of GDDR5 each that OP calls “basically gtx 1060 6gb.” Gigabyte’s P106-100, for reference, has 8,008 MHz memory with a 192-bit bus width for about 192 GB/s per card. The hardware was originally introduced around the middle of 2017. The cards are no longer entirely supported as CUDA 13.0 removed offline compilation for GPUs below compute capability 7.5, which includes Pascal GPUs, and driver branch 580 is “the final [one] that supports GPUs before CC 7.5,” Nvidia says on its developer blog. Security updates are supported through October 2028, however.

The first test was a mixture-of-experts model using Alibaba’s Qwen with “35B [parameters] in total and 3B activated,” per Qwen’s model card on Hugging Face; it’s roughly a 24GB download. The initial test had it at “30+ tokens a second” in Ollama but it can probably operate faster “with mtp and some optimizations,” OP says, referring to multi-token prediction.

Another user stated that such performance was possible on a CPU alone, to which OP replied, “On a 35$ device without any optimizations?” A dense, non-MoE model such as Qwen3.8-27B is unlikely to run as well, but “It should run any MoE model that fits entirely into VRAM decently well.” Performance is also expected to be limited by the PCIe 2.0 x1 motherboard slots.

The system is capable but would have some limitations due to the sizes of some popular models. Qwen3.6-35B-A3B at 8-bit should fit at 36.9GB, as should Llama 3.3 70B at 4-bit, at 42.5GB; at 5-bit, just below 50GB, it would leave little room for context. Larger models are probably not workable, and even the 70B 4-bit Llama would hit a ceiling around 4.5 tokens per second before hitting other bottlenecks, since each token reads all 42.5GB, card by card, at about 192 GB/s. The performance the buyer achieved is in spite of the rig, and the MoE model was the best choice for that type of result.

The buyer still got a good deal, as the price comes out to about 65 cents per GB of VRAM. For comparison, an RTX 5090 with 32GB of VRAM and 1,792 GB/s of memory bandwidth launched at $1,999 in early 2025. The rig has 1.7 times the VRAM for less than 2% of that price, but each of its cards has about a ninth of the bandwidth. According to OP, the mostly compute-only P106 cards sell for about 50% of their GTX counterparts.

One important caveat here is electricity costs, with the GPUs having a combined 1,080W TDP as estimated by one commenter, but OP says their power is free and generally inexpensive in Russia as a whole.

With the rig securely in hand, the OP’s next move is to transfer the hardware to a better case that supports up to an i7-7700K CPU and 32GB of RAM. The new case allows for 12 GPUs, so buying three more of the same adds up to 72GB of VRAM total. The solution is attractive because of “unlimited usage and actual privacy,” the buyer said to WiredEntrepreneur. Repurposing used hardware for a self-hosted AI solution with appropriately sized MoE models is a viable, useful project for enthusiasts who want freedom. From the OP’s perspective, more VRAM means more freedom.

Video game console sales in the U.S. have cratered, with both the PS5 and Xbox seeing a massive drop in YTD sales through the end of August compared with last year. Mat Piscatella, the video game industry advisor at research firm Circana, shared the numbers on his Bluesky account — PlayStation 5 sales have dropped by 25%, putting it at its lowest point since 2013, when gamers held off buying PlayStation consoles in anticipation of the arrival of the PS4, while Xbox’s retail figures have cratered by 33% YTD, putting its sales numbers at an all-time low since its launch almost 25 years ago.

From Circana's US Retail Tracking Service:For 2026 YTD ending August, Xbox hardware unit sales are down 33% versus a year ago in the US, while PlayStation hardware units are 25% lower.Xbox YTD US hardware unit sales are at an all-time low, while PlayStation is at lowest point since 2013.

— @matpiscatella.bsky.social (@matpiscatella.bsky.social.bsky.social) 2026-10-11T15:51:03.015Z

Piscatella said price sensitivity is becoming a real problem among gamers, especially as the chip shortage has pushed console manufacturers to raise prices. Microsoft has raised the price of the Xbox three times in the past two years, with the 512GB versions jumping by $100 and 1TB models becoming $150 more expensive. Worse, the company has killed off the 2TB model. This brought the Xbox Series S to $499.99 (512GB) and $599.99 (1TB), while the Xbox Series X now costs $749.99 for the Digital Edition, and the disc version costs $50 more at $799.99.

PlayStation fans haven’t escaped these price hikes, as Sony raised prices for that console by $100 to $150. The base Digital Edition PS5 now costs $599.99, while the version with an optical drive is priced at $649.99. If you want the PS5 Pro, you’ll have to shell out $899.99, while those who want to stream games from their console via the PlayStation Portal must now pay $249.99 — $50 higher than its $199.99 launch price. Even used consoles didn't escape inflation, with Sony bumping the price of refurbished PS5 Slim consoles by $100, bringing them to $399.

Despite the higher prices, the PS5 Pro remains in short supply, which is why used prices have now reached the stratosphere. Refurbished PS5 Pros now cost $1,399 at GameStop, almost $500 more than the MSRP of a new one (if you can find one in stock at that price). While this price might feel egregious, it’s about $100 less than the prices of new units we found at Best Buy and Walmart, and sealed units on online marketplaces sell for about $100 less than this.

AI chip shortage-driven price hikes, along with rising living costs, have made console purchases less of a priority for many families, driving this massive downturn in retail sales. The arrival of the much-anticipated GTA VI in November, along with the upcoming holiday season, will hopefully help consoles bounce back. Still, Piscatella says the U.S. hardware market has never been more precarious since the early 1980s.

Cyberleek, the infamous group that's been drip-feeding the gaming community with improperly tone-mapped leaks of GTA 6 from what appears to be a real final build of the game, has just put down an ultimatum for Take-Two Interactive and Rockstar Games: do a physical release for GTA 6 and apologize, or the group will release a full build of the game with the complete story mode. It's not clear exactly what Cyberleek wants an apology for, but that's the demand.

As we reported previously, Cyberleek is leveraging its stolen build of Grand Theft Auto VI to try and pump its memecoin, $CYBERLEEK on Solana. That has seemingly always been the plan; the leakers cashed out some $250,000 just hours before Rockstar's Extended Look show went live on Netflix. We thought that would probably be the last we heard of Cyberleek, but the outlaw has returned this week with more leaks, including footage of both main characters as undressed as they get and numerous major story spoilers.

This time, Cyberleek's goals are grander, and also more transparently self-serving. While the leakers previously spoke of high-minded ideals, like preserving gamer ownership of games, this latest message, titled "The Offer," simply demands that the Cyberleek memecoin hits "30 million marketcap" before they will release the build. That's right: even if Take-Two completely ignores Cyberleek, apparently nothing will happen unless the memecoin hits $30 million.

That's not happening soon, because the market cap of the memecoin is only $5 million and is actually trending sharply downward from a peak of $7.6 million at 5:00 AM Central US time. Have the people lost faith in Cyberleek? Or is it simply that people are realizing what a scam this whole operation is and doing the mature, intelligent thing by electing to wait for the official release of the game?

Well, it could be something to do with the image above, where Cyberleek demanded a $6 million market cap for the Cyberleek memecoin to provide "4K closeups, fully naked" of the main character, Lucia. Those promised prurient photos have not appeared on the site yet, but speaking as a gamer myself, this shameful scenario really isn't doing anything to help the reputation of gamers everywhere.

GTA VI launches on November 19, 2026, barely more than a month away. Neither Rockstar nor Take-Two have addressed the leaks directly; Rockstar said that the situation is "heartbreaking" for the development team, which is understandable. If you're excited for GTA VI, do yourself a favor and stay away from these poor-quality leaks. Whoever has the development build doesn't play the game very well and doesn't understand HDR tonemapping, so all the clips are badly washed out and some of the most boring gameplay you have ever seen in your life. Take my word for it and go listen to "Love is a Long Road" one more time.

A YouTuber has received an unexpected visit from the police over an automatic license plate recognition (ALPR) camera he built to specifically track police cars, using the same technology law enforcement has infamously used to track ordinary citizens. In a video posted to his channel on October 7, Anthony Sistilli says two police officers showed up at his doorstep on September 20th to ask questions about the device, asking what his intentions were with the project.

Sistilli, a Canadian software engineer and YouTuber, pointed out the irony of the officers' concerns, explaining that they mirror the privacy concerns of ordinary citizens who are growing increasingly weary of the recent spike in blanket surveillance brought about by a mass installation of ALPR cameras. Flock Safety, a U.S. public safety technology company, recently scaled its centralized national surveillance network to over 120,000 cameras operating across 49 states, according to the company, capturing billions of vehicle scans every month.

The development sparked widespread public backlash, with critics arguing that Flock has quietly built a massive government surveillance dragnet without a public vote or federal oversight, since any police department on the network can search across state lines. Security researchers later discovered the network included 335,701 Flock cameras and created a “Flock Surveillance Map,” exposing their locations.

Similar ALPR camera surveillance networks exist in Canada, where Sistilli resides, prompting him to build his own device, but this time, encoded to exclusively track police cars. He detailed the build in several TikTok videos, describing it as “a personal Flock surveillance camera to Flock the Flockers.” He then posted a video of himself using the device in real life. The video brought Peel Regional Police, the local law enforcement serving Sistilli’s city, Brampton, Ontario, to his doorstep two weeks later.

“One of them [the officers] took the time to specifically mention how scary it would be for them, because people would be able to find out where they lived, when they got on their shift and what they were doing throughout the day, and that that type of powerful information could put them personally at risk for any bad apples that might want to track them down,” Sistilli narrated. He went on to point out that these were the exact concerns ordinary citizens had about constant surveillance, suggesting there should be more policies and systems around such networks. The officers reportedly responded that there was probably no effective way to implement this without giving away details of active investigations to criminals.

After several investigative reports exposed incidents where officers misused Flock’s database, with instances of stalking of exes and their acquaintances, public backlash snowballed into physical resistance that has seen residents covering or destroying the cameras. Several municipalities, including major hubs like Los Angeles and Fullerton, have now suspended or outright canceled their Flock contracts due to constituent privacy concerns.

Flock and its proponents insist the network has helped lower crime, a claim critics say misreads the data. Sistilli’s video also details aggressive, arguably deceptive marketing tactics Flock uses to convince municipalities to accept cameras. Another issue is centered around the collection and handling of the data. The company says its cameras are protected by on-device encryption and only briefly store images before they are forwarded to its servers. However, hackers reportedly extracted over 27,000 clips and 1.6 million images, captured in a span of 21 days, from a stolen Flock camera.

It might be reasonable to assume that desktop PCs are built in a certain way due to decades of evolution and optimization. However, we're getting used to TrashBench challenging convention, and we're pleased to say the video below represents one of this enthusiast's best cooling innovations yet. In this latest video, completely ignoring the accepted norms of GPU placement delivered up to a 19°C hotspot temperature reduction but adversely impacted CPU temperatures. However, some more tweaking resulted in a 14°C reduction in hotspot temperatures and a 3.3°C cooler CPU.

TrashBench's plan was to prepare his RTX 3080 desktop PC and "test it normally, then start moving s*** around." This process began with an entirely conventional setup with the CPU cooled by a 360mm AIO, and the triple-fan RTX 3080 slotted directly into the usual PCIe expansion slot.

With the traditional build complete, TrashBench tested this baseline with a constant thermal load from looping 3DMark Time Spy and 7-Zip’s built-in benchmark. The fans in the system had their RPMs locked for consistency. Now he could start "trying to figure out if we’ve been putting the parts in the wrong place."

Beginning the first 'alternative' PC build, we heard the modder muse, "cable management isn’t important here... Is it ever?" Then we saw the GPU tested at the bottom of the case, and vertically to the side, facing one way or another, and either side of the triple case fans on the side. Meanwhile, the CPU AiO cooler was tested with the radiator fans pushing air out or bringing air in.

In summary, some configurations mostly benefitted the GPU or the CPU. But, as we noted in the intro, the sweet spot - where a worthwhile benefit was recorded in cooling both the GPU and CPU was still very worthwhile.

Taking the lessons learned from the best GPU and CPU cooling ideas, and striking a balance, TrashBench finalized his reinvented PC cooling design. That was with the CPU mounted vertically, directly against the side intake fans, and the CPU AiO cooler radiator in a traditional exhaust config. See the screenshot for the observed benefits. We’d headline this sweet spot configuration as delivering a 3.3°C cooler CPU and chilling the GPU hotspot by 14°C.

If you want to try this kind of GPU repositioning testing, a PCIe riser cable is essential. We saw TrashBench use them in a number of lengths.

Russian bot traffic has dropped dramatically in the past few days after Ukraine knocked out Yandex’s biggest data centers, with a third attack happening last night. Cloudflare reports that bot traffic from the Yandex network has dropped to just 0.4% of the maximum number of HTTP requests recorded in the past two weeks. It initially dropped to around 57% on Oct. 8, which happened when Ukraine hit a Yandex data center housing two supercomputers in Sasovo, Russia, located around 195 miles to the southeast of the Kremlin. A second, bigger Yandex campus in Kaluga, about 220 miles to the west of Sasovo, was knocked offline yesterday.

These attacks are apparently Ukraine’s response to Moscow’s strikes on its own data centers, some of which resulted in the outage of some of the most popular piracy websites.

Yandex is Russia’s equivalent to Google, and its Yandex Cloud service status reports that at least 84 services are currently offline. Global internet monitoring firm NetBlocks said that Yandex’s network traffic has dropped to just 30% for Yandex Cloud and 63% for Yandex LLC, most likely resulting in slower internet services or complete disruption for the average Russian. Unfortunately, the ordinary Russian wouldn’t be able to use high-speed satellite internet as a backup, as Starlink does not work in Russia, while the competing Rassvet constellation has had a good number of its existing satellites fall back to the surface after launch.

These incidents are a result of the ongoing conflict in Ukraine, which escalated dramatically in 2022 after Russia’s failed attempt to capture Kyiv. However, many observers say that the war actually started in 2014 when Russian forces seized Crimea and occupied parts of eastern Ukraine after the fall of the pro-Russian government that year.

The hostilities, which have dragged on for years, saw the introduction of new technologies and strategies, specifically in drone warfare. It began with the wide deployment of commercially available drones on the front lines, typically for reconnaissance, dropping explosives, and kamikaze-style attacks. However, it has since evolved into long-range warfare, with specially built drones able to reach distances of over 1,500 miles and destroy Tu-95 strategic bombers situated well behind the front lines.

The drone strikes on data centers are relatively new developments. While data centers on bases are often considered valid targets, Russia’s justification for the attacks on civilian data centers was that Ukrainian military intelligence used them. This isn’t the first time that civilian data centers have also been hit by drones and missiles. AWS sites in Bahrain and the UAE have been hit multiple times since Washington started its bombing campaign against Iran, with the company telling its clients to move their data to sites outside the region, as it doesn’t have a recovery timeline.

A creative director just created a AAA version of the classic Minesweeper game that used to come with Windows. Mike Lacher shared his creation on LinkedIn, which he called a “big-budget, triple-A” reboot, with “loot boxes and brand integrations” set to arrive in the first quarter of next year. When you visit the Triple-A Minesweeper page, you’ll be greeted by the classic Minesweeper logo similar to what you’d expect to see on a Windows 95 desktop. But when you double-click on the icon, you’ll be greeted by the usual sweeping audio entrance that you find on big-budget games, alongside a series of logos from the usual suspects — Unreal Engine, Nvidia, Bink Video, and Wwise — before finally seeing the Minesweeper title splash appear across the page.

Once the loading screens finish, you’re immediately transported to the Minesweeper game. But instead of just loading the game window, you’re greeted by the screen as if you’re coming to after being knocked out in a first-person video game. This is where Nora, your apparent handler, calls you “Sweeper” and introduces what you need to do. It also says, “I’m patched into your neural hub,” just like what many sci-fi games do.

If you wait a while before pressing anything, you’re going to be greeted by a series of voice messages from the apparent antagonist, called “The Don,” plus a series of annoying side characters like your apparent best friend “Clyde,” and some scientist telling you to find things for a neural HUD upgrade called “Dr. K.” There’s also a “DJ Dan” calling you a “mysterious hero” on the radio, similar to the radio station that you’d expect in the coming GTA VI. In between the annoying voice messages, you also get this constant internal monologue saying, “Time’s wasting. Better sweep these mines,” and “It’s time to sweep these mines.”

As you play one round of Minesweeper, Nora practically gives away the game with a yellow mark telling you where to press so that you don’t die. But if you’re hard-headed and prefer to step on the mines instead, the game doesn’t end. Instead, you’re just given a red damage marker, just like in Call of Duty. Unfortunately, it’s just a single round, so once you complete the level, you’re presented with the rolling credits.

It’s unclear if Lacher used AI to build this version of Minesweeper, but the final version is apparently a jab at how modern video games hold the player’s hand to get them through the first few rounds, plus all the voices that fill in the dead air to keep the “conversation” going. While they’re designed to be helpful, not every game needs them, so it’s a good idea to have the option to shush them if you want to explore the map in peace. Now, even though Triple-A Minesweeper can get on your nerves if you don’t get through it as quickly as possible, there’s a twist in the ending suggesting a sequel. You'll have to visit the website if you want to find out what the surprise is.

The Nintendo 64 game Super Mario 64 has come to the Microsoft Zune HD, Hackaday reports, through a project that runs natively on the device’s hardware through the unofficial OpenZDK kit, per the repo’s README. A touchscreen controller overlay is drawn over the game’s video, and the game “plays (mostly) at full speed with sound, touch controls and saves,” from the rsheldiii repo, although no ROM is included and one dumped from your own cartridge is required. The Zune HD, a 2009-era media player that rivaled Apple’s iPod, has Nvidia Tegra hardware inside, and the project is built on sm64ex, a fork of the unofficial, decompiled Super Mario 64 PC port.

The Zune HD, part of our 2009 gift guide, was marketed as having a “3.3-inch glass screen” using OLED and touchscreen technology, from Microsoft’s media alert at the time, with Tegra providing the “multimedia muscle,” according to an Nvidia release. The unit was originally priced between $219.99 and $289.99, depending on capacity, and uses the Nvidia Tegra APX 2600 chip. The operating system is Windows CE-based, with third-party games going through Microsoft’s XNA. The Zune was short-lived, with Microsoft halting production in 2011, but an exploit led to OpenZDK coming out that allowed for homebrew.

The implementation depends on native ARM code on top of the Zune HD’s OS, using OpenZDK. The device’s firmware is not modified, but the port, according to the developer, should only be used “at your own risk,” a standard disclaimer. It leverages an OpenGL ES 2 renderer derived from Fast3D with prebuilt shader variants, using Nvidia’s cgc and shaderfix tools, because the Zune’s graphics driver can’t compile OpenGL Shading Language (GLSL) shaders. Blending is compiled into the fragment shaders as well, since the GPU lacks fixed-function blending hardware. These workarounds are what make the project interesting.

The game’s logic runs at 30 ticks a second, but some lag is present when the Zune is unable to keep up. There is also no official FPS number. The game renders at 480x272 in landscape, with the device rotated to match. The audio synthesis runs on its own thread at a higher priority than the game, so it is not impacted by a slower frame rate. The touch control overlay provides a facsimile analog stick as well as the A, B, Z, R, four C, and Start buttons, with customizability for button style and opacity.

The project itself relies on a Super Mario 64 decompilation effort completed by fans in 2019, with a C source that rebuilds a matching ROM. The decompilation doesn’t include all of the game’s assets, and extraction requires a copy of the game. The ROM is read on the PC during the build, and the finished game can later be moved over to the device through USB. The build runs on Docker in Linux, so no Windows PC is required. The repo has no releases, and the port, which applies 14 patches to a pinned version of sm64ex, has only been tested on firmware 4.5.

The full PC port arrived in May 2020, of which sm64ex is a fork with extra features, such as mouse look and a cheats menu. Nintendo’s legal representatives responded quickly, targeting “sites hosting the compiled version of the Mario 64 PC port” and at least one gameplay video, Video Games Chronicle reported. However, a number of ports have found their way out for the 3DS, Wii U, PS2, PlayStation and PS Vita, Dreamcast, Nintendo DS and DSi, the web, and now the Zune HD.

The project shows what could have been on the Zune HD had Microsoft been less restrictive with development. Ports are nothing new, but the number has been increasing lately, potentially due to the wider availability of powerful AI tools; the repo’s first commit ends “Co-Authored-By: Claude Opus 5.5,” so AI was used at least in part. An example of something different is a decent Doom port to an $8,000 Hasselblad X2D camera, born from firmware research, showing there are multiple pathways to the same goal.

When it comes to the gaming industry, the billions bandied about regarding AAA titles often lead many to think that if your game scores a hit, you're essentially set for life. Unfortunately, the sad reality is that indie developers often have to end up pinching pennies or outright in a deficit despite strong sales. Omer Develioğlu, the co-founder of Northend Games, offered a candid breakdown of how $560,000 in income over five years for sales of his games ended up as just $134,000 split two ways, with $73,000 in his and the co-founder's pockets. In the end, the co-creator got only $15,000 per year and continues to drive his 2012 Mazda, hardly the riches one would expect.

The $560,000 gross figure refers to sales for two titles: Northend Tower Defense and Deepstone Rift (Early Access), both sold on Steam, for a grand total of 135,000 units. In an accompanying video, Develioğlu mentions that an impressive 53.3% of sales come directly from China.

Unfortunately, he also says that the country's customers are very demanding, and that the refund rate there is disproportionately large. Thus, $134,000 goes right away towards said refunds, with a rate of 22%, "way above" the purported standard of 10-15%. For what it's worth, the Chinese refund rate is corroborated by both older and recent third-party figures. Current tally: $426,000.

Then there's Steam itself. The platform is widely beloved by gamers everywhere for its value-add features like the Workshop, but also for the basic notion of not making the other platforms' questionable business decisions. Having said that, Gabe Newell's enterprise has also been on the receiving end of criticism thanks to fees starting at 30%, which only go down for amounts over $10 million and beyond. As Develioğlu's games are nowhere near those figures, 30% it is: $127,000 for Steam, and $297,000 for the devs... or so you'd think.

Next up, there's the U.S. withholding taxes. The developer lived in Iraq and moved to Thailand, a country that has a tax agreement with the U.S. to prevent double taxation. Even still, Uncle Sam's slice is 5%, bringing the total down to $287,300.

Now, it's time for one of the more controversial aspects: the publisher's cut. According to Develioğlu, his Asian publisher took care of PR, distribution, and marketing in the China, Japan, and South Korea regions. The fact that the majority of the game's sales came from China could mean the publisher did a good job, but the cut was hefty: $115,000, seemingly in a sliding scale, leaving take-home at $172,000.... before local taxes.

Develioğlu doesn't clear up what the publisher's cut, perhaps due to an NDA. The most logical option is that the $115,000 fee refers to the sales in Asian countries. Given that 53.3% of sales are in China, and that the publisher also handled Japan and Korea, this would mean a percentage cut of around 35-40% of net income.

As an exercise, we ran the figures assuming no publisher, only 15% of sales in Asia, and a lower refund rate. Interestingly, the net amount was nearly the same.

Thailand's offices also want in on the action, and take 15% away from Northend Studios, a mercifully low rate as it's a digital product. Even still, it's $26,000 off the cash pile, now reduced to $146,000.

Finally, Develioğlu split this 50/50 with his co-founder at Northend Games, for a grand personal total of $73,000 for five years' work, or roughly $15,000 per year of work. As the developer notes, he lives in Thailand, and this comparatively small amount is still more than the country's average wage, letting him make games as a full-time occupation. (For reference, the average wage in Thailand is around $5,280 a year).

But as he says, despite making half a million dollars in sales, instead of buying a Lamborghini, he still drives a 2012 Mazda.

Over 3,400 “victim servers” were hit by cryptomining malware PoeLLM during a campaign named Canto Incognito, tracked since April 2026, Lumen’s cybersecurity research team Black Lotus Labs reports. The malware’s “command-and-control (C2) mechanism” used address encoding through four words in a two-stanza poem on GitHub, altered 11 times so far, to direct affected hosts to new C2 servers. Most of those hit look to be running “vulnerable versions of open-source AI/LLM services, such as LiteLLM and Ollama,” despite an April LiteLLM fix that probably patched the exploitation path.

The malware’s payload consists of XMRig and Iron miners, connected to Kryptex mining infrastructure, with infected servers becoming scanners and exploit servers. The “primary commonality amongst the first 900 victims” was contact with “an endpoint for the Russian crypto mining service,” Lumen says. This indicates that it may be financially motivated. “AI infrastructure is becoming an attractive target” because exposed AI services may contain valuable data and hardware access, especially GPUs. In the meantime, it has “blocked all traffic to and from the PoeLLM C2 servers.”

The primary targets are LiteLLM, a proxy server (AI Gateway) to call LLM APIs, a way companies can route their apps to many models through one endpoint, and Gotenberg, a Docker-based API for PDF conversion, which has a guide warning not to expose it to the internet. Also hit are Ollama, which allows you to run open-weight models on your own hardware, although it is not internet-exposed by default, and Gitea, a self-hosted Git platform. Ivanti Sentry, an enterprise gateway appliance, “may also have been targeted,” and one instance was how Lumen discovered the campaign.

Although the malware’s methodology involves leveraging poetry, this is only for pointing the infected servers to the C2 server. It is not a form of an AI jailbreak through harmful requests or prompt injection, or what is known as “adversarial poetry,” described in a paper last year.

The poem, “On the Nature of Connection,” was first committed in April, with each new version pointing to a new C2 server. The malware is able to decode the new address by pulling specific words and converting them into an IPv4 address. Lumen says that “the malware creator has not changed the pattern used in deciphering the poem” at the time of reporting. Using a poem likely aided in obfuscation as it is “a perfect vehicle for hiding an important message,” the researchers told The Register.

The malware is “deployed through vulnerability exploitation of publicly exposed services,” with broad scanning beginning in May. For LiteLLM, a crafted POST to the connection endpoint “was likely the exploitation path,” based on a flaw where two endpoints would run a supplied command on the host with no role check (CVE-2026-42271), which CISA added to its list of exploited vulnerabilities in June. Lumen didn’t detail the methods for Ollama, Gotenberg, and Gitea.

If you want to check your own systems, look at connection logs for the indicators of compromise listed on Lumen’s GitHub page. Be sure to audit external exposure when installing any open-source tool and close unnecessary ports. Patch any and all network devices. Follow the individual advisories for the vulnerable products — LiteLLM 1.83.7 or later and Ivanti Sentry R10.5.2, R10.6.2, or R10.7.1.

When Lumen published its report, three of the 12 C2 servers were still active and the campaign “continues to infect new victims.” The firm “will continue to monitor for new traffic.” More attacks like this seem likely: Lumen says enterprise attack surfaces are “expanding rapidly as AI infrastructure grows.”

California is taking another swing at banning 3D-printed “ghost guns,” and this time the target is one of the world’s largest manufacturers of 3D printing filament. Polymaker LLC, headquartered in Shanghai with U.S. operations based in Houston, was named in a civil lawsuit filed October 5, 2026, by San Diego County Counsel on behalf of the People of the State of California. The complaint alleges that Polymaker marketed its filament in such a way as to appeal to gun enthusiasts and thus transform harmless PLA into a regulated “firearm precursor part.”

Under California law, a firearm precursor part is “defined to include any article marketed or sold to the public to become or be used as the frame or receiver of a functional firearm once completed, assembled or converted,” according to the civil complaint filed in San Diego County Superior Court. The County seeks disgorgement of profits, civil penalties and injunctive relief.

The complaint acknowledges that 3D printing filament itself is not illegal. But prosecutors argue that Polymaker actively cultivated and monetized the “ghost gun” community by supporting and then hiring Sean Aranda, who goes by The 3D Print General on social media. Aranda, a 3D printing expert, book author, and gun enthusiast, was banned from YouTube in 2023 over firearm policy violations. His YouTube channel at the time had 123K subs. Polymaker, which had been sponsoring his channel with a special edition creator spool of khaki colored PLA Pro, came to his rescue with a job offer. He became the Head of Customer Experience, which entailed fostering Polymaker’s online community and attending community festivals with the company. He is now a Senior Technical Account Manager for Polymaker.

Aranda is mentioned 65 times in the 39-page People v. Polymaker complaint. The prosecution implies that Aranda was specifically hired for his connection to the 3D printing gun community and not that he was simply a qualified individual searching for a job away from content creation.

The prosecution attempts to link a common marketing tactic used within the online creator community to the illegal proliferation of ghost guns: affiliate links. Affiliate links are used by content creators to promote the products they use, be it spools of PLA, energy drinks, or dog food. When an audience member clicks a link and makes a purchase, the content creator is awarded a small percentage of the sale.

Polymaker supports all manner of 3D printing content creators, and the application for affiliate links is publicly posted on its website. The application asks for your name, location, and number of followers on assorted platforms. It does not ask what type of content you create or how big your audience might be. “Whether you run a YouTube channel, a TikTok account, or a niche 3D printing blog, you're welcome here. If you love Polymaker, you qualify.”

The lawsuit is presented by San Diego County’s new Consumer Fairness and Public Protection Division. If it prevails, the ramifications will extend far beyond 3D-printed firearms. If a manufacturer in Texas can be held civilly liable in California because a YouTuber used that product to do something that is not against the law in their home state, every raw material supplier, software developer, and desktop hardware manufacturer operating in the digital age could find itself in the crosshairs.

Brandon Thomas, developer of ArtCraft, a suite of open-source creative tools meant to replicate Adobe applications for free, has now announced apps to replace Microsoft Office tools such as Excel, PowerPoint, and Word, respectively, named GridCraft, DeckCraft, and WordCraft, that are created with Claude. Thomas has shared his new clones to ArtCraft GitHub, making them free for all to download.

After our previous story covering ArtCraft, we have since discovered that u/ai_art_is_art is Brandon Thomas, a highly talented software engineer with 15 years of experience under his belt. After his ArtCraft project became popular, many criticisms followed about vibecoded software and AI slop, to which Brandon responded on his X account, saying that he does know how to code.

One of the biggest pain points for these software programs is OS compatibility, while Adobe runs on MacOS and Windows, Linux requires additional compatibility layers and Windows emulation to work. One of ArtCraft’s biggest selling points is being able to run all the software across all three platforms while still giving an identical user experience regardless of OS — this is also part of the parity that ArtCraft wants to achieve. While Google provides these tools for free with Google Sheets, Docs, and Slides available on all platforms through a browser, the online-only model takes away the ownership aspect of the software, fearing that one day the tools would suddenly require a subscription and users would not have any say in it.

Microsoft sits among the most criticized companies for its business practices, similar to Adobe. What was once a one-time purchase now comes as a subscription package with various tools that many don’t need; many even have overlapping features and uses, essentially wasting some of the subscription value. It seems that Brandon Thomas is not only creating open-source alternatives, but is also creating a targeted protest against these practices.

ArtCraft’s Discord community is also growing very quickly, with constant recommendations of other software they would like to see, with CADcraft being commonly discussed among 3D printing and engineering enthusiasts who don’t like Autodesk, similar to Microsoft and Adobe. As many free alternatives as there were before the rampant vibecoding, it seems that this growing collection of tools is not only functional, but a message to the large companies as well. Most of these apps are still far from what they intend to replace, however, so we'll have to see how deep this message cuts.

Spain’s Museo de Historia de la Computación unveiled its 18-month-long project to commemorate the 50th anniversary of both the Cray-1’s first operational use in Los Alamos and Apple’s founding. The replica uses 30 Mac Minis, 25 dual-core i5 units, and five quad-core i7 units from 2012-2014, totaling 70 cores that produce a peak of 1.5 TeraFLOPS; a theoretical 9,375x jump from the original Cray-1's 160 MegaFLOPS. After one quad-core machine went offline, the current reported peak sits at 1.3 TeraFLOPS.

The original Cray-1 is considered to be the first commercially successful supercomputer, with 80 systems sold in its heyday. Science and engineering institutions sought it out to churn through gigantic datasets for uses ranging from intense weather prediction and aerodynamics to nuclear physics and structural analysis, among many others.

It was very efficient at these computations thanks to vector processing, a computing technique we take for granted nowadays. Vector computing made this supercomputer so powerful; while most computers still handled tasks one instruction at a time, the Cray-1 could process chunks of numbers in parallel, saving a huge amount of time.

The replica has 70 cores from the 30 Mac Minis, and of course, vector processing has since become the norm and a standard feature of modern CPUs; jumping from a single core to 70 “modern” cores and 50 years' worth of innovation is what Museo de Historia de la Computación wants to showcase in this project. It is not only a replica, but a representation of how far technology has come.

The original version was cooled by a network of refrigerant lines that led to 20-ton refrigeration compressors in a separate room, while the replica is cooled passively through a convection-tower design and is extremely quiet, with only the Ethernet switches making the most noise. The museum plans to use silent switches to make it even quieter.

For visitors to see it in action, the museum also created a retro-style control terminal, akin to what you’d see in old movies: a large metal desk with a keyboard in the middle and multiple screens embedded into a panel spanning the desk, with angled features flanking the screens, completing the 70s control terminal silhouette.

On the screen, you can see it churning away at large matrix multiplication problems, the sort of thing it’s good at. Surprisingly, the team behind it realized they could run the supercomputer on macOS Mojave, which supports MPI (Message Passing Interface), allowing the instructions to spread across several Mac Minis for parallel computing. That's not the end of it, though: the museum plans to start a crowdfunding campaign and buy 70-80 M4 Mac Minis to fill the remaining slots, aiming to enter the TOP500 supercomputers list.

Plan your trip if you want to see it; it’s on permanent display, and the museum is open to the public on Saturdays from 11:30 AM-2:00 PM, but it doesn’t allow tours without a guide, and it's closed during summer, Christmas, January, and February.

A U.S. military-backed company plans to deliver a payload to any point on Earth within 90 minutes by prepositioning assets in space and then calling down delivery vehicles as needed. Sierra Space, a subsidiary of the Sierra Nevada Corporation, has successfully completed two test drops of its Ghost reentry vehicle while carrying a bottle of whiskey and a software-defined radio. According to Aviation Week, the test was conducted using high-altitude balloons that dropped it from 35,000 feet and 68,500 feet.

While this test isn’t as exciting as SpaceX rockets landing on a platform at sea, it’s still an achievement for the team working on the project, as it’s the first test of the vehicle in two years. This demonstration is part of the U.S. Space Command’s Apollo Nexus training exercise, which aims to demonstrate the needed synchronization of multiple units in complex operations.

The test’s payload isn’t just two random items, either. They’ve been specifically selected to show that liquids and sensitive electronics could survive part of the trip back to the surface. “We were able to safely demonstrate that and prove that we could come through all of those environments and then be recoverable in a certain period of time by the team on the ground,” Sierra Space senior vice president Erik Daehler told the publication.

It should be noted that these cargo units aren’t designed to be launched by rockets from another side of the world to be delivered to frontline forces as needed. Instead, they’re designed to stay in orbit for up to five years and then be called down to troops as needed — similar to how Orbital Depots drop down from the sky when called by an SCV in StarCraft II. “Getting something into theater to the warfighter when they need it is critical,” Daehler added. “If you’re in a denied area where you couldn’t get a C-17 or a C-130 to be able to drop into the theater, space is a perfect logistics node.”

The company says that Ghost can deliver its payload to any point on Earth within 90 minutes of getting called down. However, since it is based in space, the military would have to anticipate what supplies are needed, launch them, and keep them in orbit for up to five years. This is similar to how the U.S. pre-positions supply and cargo ships in remote bases across the world like Guam and Diego Garcia, so it could easily deploy materiel where it’s needed. The Ghost is a seemingly small unit, though, with a capacity of just five to ten tons, so it won’t be able to deploy tanks or artillery pieces across the world. Still, it’s a useful device for dropping equipment, ammunition, and supplies, like this in-house assembled drone or microwave counter-drone system, to units that need them without having to risk assets and aircrew.

Masayoshi Son, founder of SoftBank, is seeking up to $100 billion from Gulf investors to establish a fund that would acquire companies and improve their operations using artificial intelligence and robotics, according to the Financial Times. The initiative comes as SoftBank faces growing concerns over its $65 billion investment in OpenAI and its delayed initial public offering (IPO).

Unlike SoftBank's previous investment vehicles, which primarily financed technology companies, the proposed fund would purchase established businesses and introduce AI and other advanced technologies to improve their operations in a bid to improve their value, which is a relatively novel model to make money on AI. Son has reportedly approached influential investors in the Middle East, including senior figures in the United Arab Emirates, in recent weeks to get the money to acquire companies that have not yet adopted AI and/or robotics, but which could substantially improve their business positions by doing so.

Roze, SoftBank's robotics and physical AI division, would reportedly play a major role in these transformations, though exact details remain unclear. Son also intends to eventually take Roze public at a substantial valuation, though neither the fund's establishment nor its financing is guaranteed. In fact, at this point it is unclear whether the fund will only finance acquisitions, or will also finance development of Roze.

SoftBank has already committed approximately $65 billion to OpenAI, and the company remains the crown jewel of its investment strategy. The Japanese company has financed its investments using internal resources, external capital, and borrowing partly secured by its holdings in Arm. Meanwhile, SoftBank's well-being significantly depends on the valuation of OpenAI, which has yet to become a highly profitable company. Despite risks associated with OpenAI valuation, SoftBank continues to pursue aggressive AI expansion.

Son has previously attracted substantial financing from Middle Eastern sovereign wealth funds. Saudi Arabia's Public Investment Fund and Abu Dhabi's Mubadala participated in SoftBank's original $100 billion Vision Fund in 2017. Since its establishment, Vision Fund 1 has accumulated approximately $29 billion in investment gains, whereas Vision Fund 2, which holds the OpenAI investment and is primarily financed by SoftBank, has generated $20.5 billion as of June. Abu Dhabi has also expanded its AI investments through MGX and G42.

Last month, SoftBank raised more than $11 billion through the largest junk bond issuance on record, with yields reaching 9.75% (i.e., very expensive borrowing as risks are high). As of June, the company's net asset value stood at ¥72.3 trillion ($456.57 billion), while its loan-to-value ratio was 13%, considerably below its normal operating limit of 25%. However, a substantial portion of SoftBank's assets is tied to technology companies, including Arm and OpenAI, so a decline in their valuations could increase the company's LTV to uncomfortable levels even without further borrowings.

Son's investment history includes Alibaba's massive success and WeWork's 2023 bankruptcy, so it remains to be seen where the current strategy leads SoftBank.

Ting-Wei “Willy” Sun, a third-party broker and “fixer” who’s been charged alongside Super Micro co-founder Yih-Shyan “Wally” Liaw and sales manager Ruei-Tsang “Steven” Chang for conspiring to unlawfully divert Nvidia AI chips to China, has pleaded guilty to the allegations against him. According to Bloomberg, Sun’s plea comes as part of an agreement with prosecutors, although the details of any possible cooperation arrangement remain undisclosed. Sun is also expected to be sentenced on Sept. 8, 2027, after entering his plea.

The case against the individuals was revealed earlier this year after it was discovered that they diverted Super Micro servers containing Nvidia chips to China. The three were reported to have sent the servers to a Southeast Asian company, which then proceeded to fake the paperwork and create dummy servers for inspectors. Workers then used hair dryers to remove the serial numbers on the real servers to transfer them to the dummy server shells to complete the illusion, while the real servers made their way to China. Further investigation revealed that the three used a Thailand-based corporation to receive the servers, which were then delivered to Alibaba, even as the Chinese tech giant denied receiving the banned Nvidia hardware.

Super Micro has also denied any knowledge of the operation, even as it has netted $2.5 billion in sales since it started in 2024. Nevertheless, the company’s shareholders have sued it, accusing it of concealing its dependence on illicit sales to China. Liaw, on the other hand, has pleaded not guilty to the charges and was released on a $5 million bond. The Super Micro co-founder is set to go to trial this coming Nov. 2, even as the third co-conspirator, Chang, remains a fugitive.

Taiwanese authorities are also building their own case against the illegal shipment of AI chips to China, with the investigators raiding some Super Micro offices and the homes of six individuals. The company, on the other hand, denied that its premises were raided, insisting that it cooperated with the police and provided access to the workstations and gadgets of the employees that were being investigated. It also said that it has been collaborating with both U.S. and Taiwanese authorities over the smuggling investigation, and that it has even fired several employees after completing its own independent investigation. Soon after this, Taiwan indicted nine more people involved in the illegal smuggling of Nvidia B300 GPUs.

Sun’s guilty plea is the latest development in the U.S.’s clampdown on illegal AI chip exports, which happened soon after another tech CEO was arrested in California for smuggling $300 million in Nvidia AI servers to China. These cases show how serious the White House is about protecting its hardware advantage over Beijing in the AI race, even as AI development is facing its own challenges at home.

Don’t throw away your PlayStation 2 games just yet. Modder Sword has released PS5SX2 for jailbroken PlayStation 5 consoles. This new software brings PlayStation 2 games to Sony’s latest console and supports physical discs, letting you relive your favorite classics in their original form.

For those active in the PlayStation emulation scene, the name PS5SX2 will immediately ring a bell, and for good reason. PS5SX2 is a native port of PCSX2, a very popular PlayStation 2 emulator for PC. Sword has successfully adapted the PCSX2 CPU recompilers to run on the PlayStation 5’s powerful custom Zen 2 chip. Unlike previous hacks that run PCSX2 on a host system and stream to the television, the PlayStation 5 does the recompiling and rendering.

PS5SX2 uses Vulkan as its backend renderer. However, since the PlayStation 5 lacks a standard operating system with official Vulkan driver support, emulation software requires a custom translation layer. Instead of developing a Vulkan driver from scratch, Sword uses a modified version of ps5vk, developed by renowned coder Mihawk-99, who has brought us projects like RetroArch.

PS5SX2 embraces virtually all popular disc image formats used for PlayStation 2 emulation, including ISO, CHD, CSO, and ZSO. More impressively, it fully supports physical PlayStation 2 game discs. It supports built-in optical drives and external USB optical drives. It reportedly works with discs from all regions. The only drawback is that the software can only read PlayStation 2 games released on DVDs, not CDs. It is more of a hardware limitation, though, since the PlayStation 5's optical drive lacks the laser needed to read standard CDs.

Beyond bringing PlayStation 2 fun to the PlayStation 5, PS5SX2 adds an impressive suite of features to enhance your retro gaming experience. One standout feature is high-resolution upscaling, enabling 6X scaling over the PlayStation 2's native resolution for up to 4K on modern displays. The emulator also supports a wide variety of upscaling and post-processing filters, including AMD’s FidelityFX Super Resolution (FSR). Patch files (.pnach) are also compatible with PCSX2, so that games can unlock widescreen or 60 FPS support for certain titles.

Beyond graphical enhancements, PS5SX2 packs other cool features. Gamers can fine-tune graphics, audio, and gameplay settings directly from their smartphone or tablet, and changes take effect instantly. PS5SX2 also lets gamers play online by emulating the PlayStation 2's network adapter and routing traffic to community servers. It also supports keyboard and mouse, couch co-op for up to four players, and the ability to create virtual memory cards up to 64MB per game.

PlayStation 2 disc support is only the tip of the iceberg. When asked about the potential inclusion of PlayStation 3 disc support for an RPCS3 port currently under development, the developer, Sword, responded affirmatively: "Yes, it’s coming with it :)." Sony's decision to kill game discs only further spurred the homebrew community to develop methods to preserve disc usage. The irony is that community projects, such as PS5SX2, have contributed to boosting the PlayStation 5's value.

Sony implemented backward compatibility on the PlayStation 5 for both physical and digital PlayStation 4 games. It is evident that the console can play games from older generations of consoles all this time. This raises an interesting question: why has Sony been holding out on its fans?

In case you've been missing out on the action over on Tom's Hardware Premium, we're back with another roundup to fill you in on everything you missed. Central to this week's theme is how Artificial Intelligence and its subsequent buildout are currently impacting all areas of the semiconductor industry.

Headlining this week is our report on how smart software utilization may play a part in the electricity consumption of AI data centers. We sat down and talked with experts in the domain to find out.

• Software could be the easiest fix for hyperscalers' AI power squeeze, researchers say — data center demand is expected to rival Japan's electricity usage by 2030

Reports state that Tencent has reached a deal to lease high-performance AI chips from Oracle to the tune of $7 billion over five years. While the figure on its surface sounds significant, the estimated lease price is around 43% less than an Nvidia H100 leased at $2.80 per hour on a one-year contract, meaning that Tencent may have scored a slight coup in the terms of its lease agreement. While no specific chips have been named, the size of the deal and the prices point toward a Hopper-class GPU. We explored how this rental loophole may be used by Chinese firms to potentially gain access to otherwise export-controlled hardware.

• Tencent scores 100,000 offshore AI chip deal with Oracle for $7 billion despite climbing prices — per-hour costs estimated to be 43% under standard H100 rental rates

If you cast your minds back to last week, Synopsys revealed a slew of new agreements and partnerships; one of the most notable among them was an agreement with OpenAI, unveiling a 'GPT-Synopsys' — a specialized AI model that leverages Synopsys' domain IP knowledge and EDA tools, with OpenAI's capability to design LLMs. GPT-Synopsys is, in all likelihood, a chipmaking-specialized AI model, which may play a part in the development of successors to OpenAI's Jalapeño AI ASIC. As we've previously explored, AI models designing chips will likely run into hurdles surrounding IP usage, which become a non-factor if both AI labs and IP holders decide to team up in a manner such as this, setting the stage for chip design's agentic future.

• OpenAI and Synopsys partner to build "GPT-Synopsys" for autonomous chip design — specialized AI model will operate EDA tools, allowing engineers to deliver more sophisticated chips faster

Neon is a noble gas that's widely used in the DUV chipmaking process, with over 70% of global supply being used by the now-older lithography machines. Crude neon production has usually been focused in Ukraine, and ever since the advent of the country's ongoing conflict with Russia, global supply has been disrupted. Now, companies are racing to bring neon gas recycling systems to market in order to make the most of supplies. Japanese lithography toolmaker Gigaphoton and rival Kanten Techno have both developed machines that recycle the material at varying degrees of success. While DUV lithography remains a primary focus for the Chinese chipmaking ecosystem, the material is not widely used in the newer EUV systems that many leading-edge nodes currently utilize.

• Gigaphoton debuts neon recycling system with claimed 50% recovery rate — systems throw a lifeline to chipmakers that utilize 70% of global neon supply in DUV lithography

Qualcomm has reportedly reached a deal with Huawei to license its patents for the first time. While the official announcement is light on detail and subject to approval, an additional report claims that Huawei's LogicFolding chip-stacking methods are also included in the deal, with products ranging across AI, networking, compute, and other technologies. What makes Huawei's LogicFolding approach so notable is that the technique follows and targets faster data transmission as a foil to not having access to the most advanced EUV machines. Additionally, many of the techniques that LogicFolding incorporates echo what others in the chip industry are already doing, which makes it an eyebrow-raising move on Qualcomm's part. Historically, patent licensing between the two companies has been on the other foot — Huawei licensing Qualcomm patents — not the other way around. We explore the deal in detail in our full article.

• Qualcomm will license patents behind Huawei’s LogicFolding chip architecture, report says — the Kirin 9050 Pro already uses it, with a teardown showing its lower die is mostly cache and I/O

Two former Groq employees and shareholders have filed a proposed class action lawsuit against Groq's former board and CEO, alleging that the company's board breached its duties and cost stockholders billions, following Groq's $20 billion deal with Nvidia in December 2025, according to a new report. The deal between Groq and Nvidia didn't involve an acquisition, and Nvidia is not a named defendant in the case, though the vast majority of Groq's staff have reportedly since joined Nvidia directly. The Groq3 LPU has since been showcased as a part of Nvidia's Vera Rubin ecosystem, which is currently ramping. Nvidia's Groq 3 LPX is scheduled to ship alongside Vera Rubin in H2 2026.

• Former Groq engineers sue board over $20 billion Nvidia deal, saying it handed Nvidia the LPU and the team that built it — plaintiffs allege the board kept billions from other shareholders

The AI train keeps rolling, with a new release from European firm Mistral, named Large 4, ML4, or, if you have seen any of the company's social media posts, Le Chonk. The race towards building capable open-weight models has predominantly been dominated by either U.S. or Chinese labs, meaning a European breakthrough is significant. Testing lab Artificial Analysis scored ML4 a reasonable 38 on its overall intelligence index, and it is currently outrun by numerous Chinese models, including Kimi K3 (max), GLM-5.3-Flash, and MiMo-V2.6.Pro. However, the model excels in cybersecurity tasks, only outmatched by a select few.

So, Europe's sovereign AI efforts appear to still be playing catch-up to Chinese alternatives, despite clear advancements. The global race to deploy capable closed and open-weight models marches on, and Mistral expects that the exact weights for ML4 will be released before the end of October.

• Independent tests rank Mistral’s new trillion-parameter Large 4 the best AI model outside the U.S. and China — but Chinese open-weights still overcome Europe's best efforts

To gain full access to the articles we mention above, as well as unlock Bench, you'll need to purchase a Tom's Hardware Premium subscription. Your support goes a long way in helping us to publish deeper, more insightful articles that might not otherwise be covered.

The U.S. Senate has been conducting a year-long investigation into AI data centers, and its findings suggest that some developers have been misleading the public about the costs and benefits that these projects bring to their communities. According to Time, data center developers have routinely pointed to the number of construction jobs that projects bring to neighborhoods, but many have allegedly refused to share the number of permanent positions these projects bring to the neighborhood once they’ve reached operational status. A few companies that did give numbers point to a ratio of one permanent position for every megawatt of capacity, meaning a 100-megawatt development, which consumes around the same amount of electricity as 100,000 homes, would only hire 100 people.

“Congress must hold Big Tech accountable so these companies pay their fair share,” Senator Elizabeth Warren (D-Mass.) told the publication. Senator Chris Van Hollen (D-Md.) also said, “This report lays bare what we have long known: working Americans and local communities are footing the bill for Big Tech’s massive expansion of data centers, while these companies continue to operate without transparency.”

Aside from the lack of permanent jobs, the authorities also looked at the tax incentives these companies have been getting from local and state governments. The investigation revealed that although property-tax breaks catch critics’ attention during the application process, sales-tax exemptions on computer equipment are reportedly more lucrative, especially as these sites maintain, replace, and upgrade their hardware. The report estimated that 39% of a 1GW data center’s spending is allocated towards expensive GPUs, so if the data centers do not deliver the jobs and economic benefits they’ve promised, then the state is losing out on a lot of revenue.

The investigation also revealed that the surveyed companies — Amazon, Google, Meta, Microsoft, CoreWeave, Digital Realty, and Equinix — don’t want to cover the costs of the additional infrastructure needed to serve their data centers even though they previously promised to “pay their own way.” While the companies said that they were willing to pay for direct costs, they argued that they should not be responsible for the larger investments that could potentially benefit other customers, such as new power plants and transmission lines, even though these were primarily driven by their power demands.

There have already been efforts to legislate the ratepayer protection pledge that data center developers signed earlier this year, but it has failed because senators thought that it was “toothless.” This investigation shows that Congress is not giving up and that it’s conducting an even broader effort to regulate the infrastructure behind AI, especially with regard to its massive power consumption and other issues that residents living around them have been protesting against.

After the rough reception of Windows Vista, Windows 7 launched in 2009 to largely positive reviews. Even 17 years later, it remains one of the most beloved versions of Windows ever released. But how does this nearly two-decade-old operating system hold up on modern hardware? We managed to install Windows 7 on a modern PC and put it to the test across eight DirectX 11 games and two DirectX 9 titles to see how its gaming performance compares to Windows 11 today. Surprisingly, Windows 7 still carves out many notable wins over its successor.

At launch, Windows 7 was very similar to Windows Vista in many respects. Vista had introduced significant changes under the hood compared to Windows XP, including technologies such as SuperFetch, ReadyBoost, ReadyDrive, new asynchronous APIs, and other I/O improvements. It also introduced native processor power management and various memory-management enhancements. On the visual side, Vista was the first version of Windows to feature Windows Aero, with its distinctive glass-like window borders.

Windows 7 retained many of these underlying technologies while addressing several of Vista’s biggest criticisms. One notable improvement was greater control over User Account Control (UAC), allowing users to adjust how frequently they received UAC prompts. In Vista, these prompts could appear far too often, becoming a major source of frustration for many users.

Windows 7 also benefited from something that had nothing to do with the operating system itself: more powerful hardware. When Vista launched, many mid-range and budget PCs struggled to deliver smooth performance, particularly when using more demanding visual features such as Windows Aero. By 2009, however, PC hardware had advanced considerably, and the performance required to run these features smoothly was no longer a significant concern for most users.

The Challenge of Running Windows 7 on a Modern PC

Getting Windows 7 running on modern hardware is not as straightforward as installing a current version of Windows. At 17 years old, the operating system predates many of the technologies used by modern PCs, meaning driver support is extremely limited. For example, Windows 7 does not include native NVMe or USB 3.0 support, so the necessary drivers have to be slipstreamed into the installation ISO. Microsoft did eventually release patches that added NVMe support, but without injecting the appropriate drivers into the ISO, the Windows 7 installer will not recognize an NVMe drive.

Our system is based on AMD’s AM5 platform (with the full system specifications detailed later in the article), which presents another limitation: there are no official Windows 7 chipset drivers for the platform.

Fortunately, we are using an RDNA 2 GPU, which does have Windows 7 driver support, allowing us to use a relatively modern graphics card for our testing.

The motherboard is also an important consideration. Modern motherboards that have dropped CSM (Compatibility Support Module) and legacy boot support can make installing Windows 7 considerably more difficult, and in some cases may prevent the operating system from booting altogether. Fortunately, our motherboard still supports CSM, so this was not an issue for our setup.

Test System

Windows 7 system specs

• AMD Radeon RX 6950 XT
• Ryzen 7 9800X3D
• 64GB (2x32GB) G.SKILL Flare X5 DDR5 @6000 MHz CL30
• Seagate Lightsaber FireCuda (530) NVMe SSD
• ASUS ROG STRIX B850-F Gaming WiFi
• Corsair Nautilus 360 RS AIO Cooler
• HAGS not supported by driver
• Windows 7 Ultimate 64-bit Service Pack 1 (Build 7601)
• AMD Adrenalin 22.6.1 for Windows 7 (2022)

Windows 11 system specs

• AMD Radeon RX 6950 XT
• Ryzen 7 9800X3D
• 64GB (2x32GB) G.SKILL Flare X5 DDR5 @6000 MHz CL30
• Seagate Lightsaber FireCuda (530) NVMe SSD
• ASUS ROG STRIX B850-F Gaming WiFi
• Corsair Nautilus 360 RS AIO Cooler
• HAGS not supported by driver
• Windows 11 25H2 (Build 26200.9278)
• AMD Adrenalin 22.6.1 for Windows 11 (2022)

For Windows 7, we disabled Secure Boot, enabled CSM, and set Boot Device Control to Legacy OPROM Only. Enabling CSM means that we no longer have access to Resizable BAR (it's not supported anyway). For Windows 11, we disabled VBS (Virtualization-Based Security) and HVCI (Hypervisor-Protected Code Integrity).

It is important to note that while we used Adrenalin 22.6.1 for both Windows 11 and Windows 7 testing, the two packages contain different internal driver versions. Although both packages were released in June 2022, the Windows 11 driver is based on a more advanced codebase than the Windows 7 driver.

In both cases, we performed a clean install of each operating system and filled the SSD to about 50-60%.

Performance Testing

We tested ten games in total: eight using DirectX 11 and two using DirectX 9. The DirectX 11 titles are the primary focus, as both systems support them natively. By comparison, our Windows 11 system will run DirectX 9 games through the D3D9On12 mapping layer, while our Windows 7 system will run them natively. There are ways to get around the use of D3D9On12 on Windows 11, but we want to evaluate the out-of-the-box experience that most gamers would encounter. As a result, we expect Windows 7 to have an advantage in the DirectX 9 titles.

It will become apparent in the results below that the advantages of each operating system will vary depending on whether we are CPU-limited or GPU-limited.

Metro 2033 Redux (DX11)

Metro 2033 Redux was released in 2014 and features a new lighting engine, higher visual fidelity, and new locations for certain levels. The game is predominantly GPU-bound, but there are moments when GPU utilization drops sharply as you traverse the game world. At these points, the CPU becomes the limiting factor, resulting in a corresponding drop in performance.

Although Windows 11 delivers a higher average frame rate, Windows 7 handles the CPU-related performance drops much better, resulting in significantly stronger 1% lows. Installing the AMD chipset drivers and enabling Resizable BAR improves 1% lows on Windows 11 slightly, but it still falls well behind Windows 7.

Windows 11’s more advanced graphics driver appears to provide an advantage in GPU-limited scenarios, while Windows 7’s lower CPU overhead offers more consistent frame pacing, though with lower peak performance.

Batman: Arkham Origins (DX11)

Batman: Arkham Origins runs on a modified version of Unreal Engine 3 and uses several DX11 enhancements such as Tessellation, Ambient Occlusion HBAO+, Percentage Closer Soft Shadows (PCSS), and Depth of Field (DoF).

When CPU-limited at 1080p, Windows 7 once again puts in a strong showing, outperforming Windows 11 in both average frame rate and 1% lows. Surprisingly, Windows 7 also comes out ahead at 4K in Origins, though with a far smaller advantage. As we will see throughout the remainder of our testing, however, this is a rare occurrence. Even so, Windows 7 maintains a slight performance advantage over Windows 11 at 4K in this title.

Batman: Arkham Knight (DX11)

Batman: Arkham Knight was both a critical and commercial success, despite a notoriously troubled PC launch plagued by severe bugs and major performance issues. Visually, however, the game still holds up remarkably well, and modern hardware is more than capable of brute-forcing this demanding PC port.

Windows 7 again delivers higher performance at 1080p when we are CPU-limited. Windows 11 jumps ahead when we become GPU-limited at 1440p and 4K.

Batman: Arkham City (DX11)

Batman: Arkham City was the second entry in the series, following Arkham Asylum, and the first to support DirectX 11. This introduced features such as tessellation, which adds greater geometric detail to characters and environments.

In Arkham City, our system is GPU-bound at every resolution tested, giving Windows 11 the advantage across the board.

The Witcher 3: Wild Hunt (DX11)

The Witcher 3 faced some controversy at launch over reductions in image quality compared to its initial reveal. CD Projekt Red quickly released a patch addressing these concerns and improving the game’s visuals. From a performance perspective, however, the game was extremely demanding at launch.

While the game is very GPU bound in general, at 1080p we did encounter a slight CPU bottleneck, which gave Windows 7 an advantage in 1% lows. At 1440p and 4K, Windows 11 takes a slight lead.

Control (DX11)

Control is the newest title we tested for this comparison, having launched in 2019. While the game introduced several ray tracing features, these were exclusive to the DirectX 12 API. Since Windows 7 does not support DirectX 12, we tested Control using DirectX 11 on both operating systems. Even without ray tracing, Control remains the most graphically advanced title in our Windows 11 vs Windows 7 comparison.

Windows 11 wins across the board. This is not a surprise, as we are GPU-limited across all resolutions tested.

Hitman: Absolution (DX11)

Hitman: Absolution was released in 2012 and was the first game to use the Glacier 2 engine. The updated engine could handle crowds of up to 1200 characters, which was unprecedented at the time. The game also featured several DirectX 11 enhancements, including global illumination and tessellation.

This is another game that pushes the GPU hard, regardless of resolution. Our test system was GPU-limited even at 1080p.

Hitman 2 (DX11)

Hitman 2 was released in 2018, making it the second-newest game in our operating system comparison. It features detailed environments, dense crowds, and full reflections across many surfaces, making it an impressive-looking title overall.

Hitman 2 is another example where our test system is GPU-limited at every resolution, giving Windows 11 a clean sweep across the board.

Batman: Arkham Asylum (DX9)

We now move to our first DirectX 9 game. As previously mentioned, Windows 7 should have an advantage here because our Windows 11 system must use the D3D9On12 mapping layer for DirectX 11 games. But just how much of an advantage?

Significant advantages for Windows 7 in average frame rate and 1% lows, especially at 1080p and 1440p. The advantage is reduced at 4K, but the performance is still smoother overall in Windows 7. Another translation layer, such as DXVK, may close the gap.

Borderlands 2 (DX9)

Borderlands 2 is our second DirectX 9 game and the final overall game tested.

Once again, another massive win for Windows 7 at the lower resolutions. The performance at 4K is virtually identical.

Bottom Line

Windows 11 is optimized for GPU-hungry games

The results are interesting, but perhaps not entirely surprising. The DirectX 9 results are largely in line with our expectations, given that Windows 11 must run these games through the D3D9On12 mapping layer, yielding substantial advantages for Windows 7.

The DirectX 11 results are more nuanced, but a clear trend emerges: Windows 7 has the advantage when we are CPU-limited, while Windows 11 performs better when we are GPU-limited. This makes sense given that Windows 11 uses graphics drivers built on a more advanced codebase, while Windows 7 is a leaner operating system with fewer background processes and, consequently, lower CPU overhead.

Microsoft has recently detailed its K2 plan, which aims to improve the performance and reliability of Windows 11. We hope these continued efforts to improve Windows 11 pay off.

The lower CPU performance we observed in Windows 11 cannot be attributed to its most notable security features, such as VBS (Virtualization-Based Security) and HVCI (Hypervisor-Protected Code Integrity), as we disabled both during testing. Notably, Windows 7 does not support VBS or HVCI at the software level, while Windows 11 supports hardware virtualization extensions (such as Intel VT-x or AMD-V) and Second Level Address Translation (SLAT). Additionally, fixed-function hardware can reduce the impact of virtualization to varying degrees, based on the CPU architecture's capabilities. However, additional telemetry and other background services still pop up and use precious CPU cycles.

Using the latest chipset drivers and enabling features such as Resizable BAR does not help Windows 11 close the gap in CPU-limited scenarios by any significant margin. Ultimately, we would like to see Windows 11 become leaner and more efficient, as our results suggest there is still some performance left on the table, particularly on the CPU side.

Anthropic, OpenAI, and other AI labs are reportedly gaming out scenarios where a rogue AI wreaks havoc on critical infrastructure, like financial services, internet and telecommunications, or utilities such as power and water. According to Axios, the leadership of these companies is privately preparing for such an incident, similar to how the Pentagon has been running war games to see the results of different strategies in case of a nuclear exchange between nations.

Planning like this is not unheard of in the corporate world, with enterprises sometimes running business continuity exercises to account for contingencies. However, what’s concerning is that these exercises are in preparation for a major AI incident, something that many industry experts believe would happen within the next six to 12 months. "OpenAI conducts preparedness exercises where teams discuss and work through a range of potential scenarios," a company spokesperson told the publication. "These scenarios are not treated as inevitable but are meant to help us prepare for a variety of circumstances."

Dario Amodei recently released a warning about an AI-driven botnet “swarm” taking over the entire internet in the coming months, especially after incidents of OpenAI’s models escaping their testing environments. We’ve also heard of incidents where a “kill switch” failed to stop a rogue agent, forcing the startup to pause testing. The threat is so great that Anthropic listed “existential risks to humanity” as one of its major risk factors in its IPO prospectus, allocating nearly a third of the document to covering this issue. A former OpenAI safety employee has spoken out about this, saying that the current risks stem from a lack of safety culture — something that the aviation and nuclear industries have already learned through experience.

Despite that, the White House has refused to impose regulations on artificial intelligence, instead preferring to make Nvidia, OpenAI, Anthropic, and other AI labs promise to “self-police” AI development. But even though the current administration is lenient on AI labs and development, Axios says that one of the things that the scenarios focus on is how to educate Congress after a major incident. An event like this would probably result in Congress attempting to slow or shut down AI development, though planners think that such a move would face significant challenges. It will still likely have an impact on the economy, though, especially as big tech has already spent more than $1 trillion in AI infrastructure, with an additional $32 trillion expected to be invested until 2050.

The heads of Anthropic, OpenAI, and SpaceXAI have all agreed that a slowdown is needed for AI safety, but it’s unclear what steps these companies have taken to put that into effect. While gaming out scenarios like these is par for the course for any major organization, it still doesn’t give us comfort that they’re essentially preparing for “The Day After Tomorrow” of an AI apocalypse.

Easy Fox, the developers behind a free, AI-powered game demo on Steam, has been forced to take out a bank loan as more players tried out its title. The game, called Teach My Little Sister How To Drive, uses Google Gemini to listen to your voice commands and generate responses, with ChatGPT serving as a fallback system. In its latest update, Easy Fox said that the number of players trying out the game has grown over 20 times, which is more than what it expected. This led its costs to skyrocket to more than a thousand dollars daily, and cheaper fallback AI models have led to slop injected into gameplay, impacting the user experience.

SteamDB showed an average player count of under 10 people until late August, when it started gaining steam. By late September, this had ballooned to around 50 players, before finally hitting a peak of 431 on Oct. 1. “We are currently spending over $1,000 per day on AI services for the demo,” the team wrote on its Steam update. Easy Fox also added, “This isn’t because each player is particularly expensive to support. The total cost has increased because so many people are playing, and we have taken out a bank loan to help keep the demo running.”

Since the game’s sole control method is your voice, AI is a critical part of its programming to recognize your commands and translate them into instructions for the virtual little sister. Since the game is still a free demo, Easy Fox needs to pay for the ongoing usage costs of the game. However, the developers said that the cost of using AI will be included in the price of the game once it gets final release. “For the paid release, we plan to account for expected AI usage in the game’s price,” the team said in its update. “Players will not be charged separately for their individual AI token usage after purchasing the game.”

The developers also said that they plan on introducing local AI models for gamers with capable hardware, so they don’t have to rely on external services, which could run into limits. This is one of the issues that the game has been grappling with, especially as the increased number of users has caused it to hit usage limits on Google Gemini. This has forced the game to fall back on the less capable ChatGPT Realtime Mini 2.1 model, which has led to some player issues, like delayed responses and wrong inputs. It also said that it’s testing alternative AI models for smoother gameplay in Russia, which does not have easy access to Western models because of sanctions. They might find it hard to find suitable replacement AI models, though, because Ukraine has struck Russia’s largest data center.

Increasing AI costs is one of the reasons why some companies have abandoned tokenmaxxing. Even though the price of AI has been falling quite rapidly compared to other technologies, the fact that AI agents use so many more tokens than AI chatbots has made the use of the technology more expensive than anticipated, especially as AI subscriptions have hit a pricing wall.

Nvidia has reportedly ceased selling its GB202 graphics processors for consumer-grade GeForce RTX 5090-series add-in-boards (AIBs), including 'D' variants for the Chinese market, according to a leaked notice from an unknown factory cited by @hongxing2020, who tends to have insights into the graphics card market. Another prominent leaker @Zed__Wang confirmed the report and said that from now on the GB202 silicon will be exclusively used on data center and professional graphics cards.

"According to a notification from the factory, Nvidia will no longer manufacture any RTX 5090 models, including the D variants," a message cited by @hongxing2020 reads. "Going forward, the highest-end GeForce graphics card will be the RTX 5080 24GB, while the RTX 5080 16GB version will be discontinued. Please spread the word."

This is, of course, an unverified claim and not an official Nvidia announcement. We asked Nvidia for a comment, though the company has yet to respond. Typically, Nvidia does not comment on rumors.

While the information is strictly unofficial for now, the alleged decision would make considerable economic sense for Nvidia, as the company can sell GB202 processors on data center and professional graphics cards that cost substantially more than the GeForce RTX 5090. In fact, Nvidia's recently introduced RTX Pro 5500 features the same number of CUDA cores — 21,760 — as the GeForce RTX 5090, but comes with 84GB of GDDR7 memory instead of 32GB and targets considerably more lucrative professional visualization (ProViz) and AI applications. Meanwhile, the fully-fledged RTX 6000 Pro with 24,064 CUDA cores and 96 GB of memory can easily sell for $15,000.

By discontinuing GB202-based GeForce products, Nvidia could prevent its relatively inexpensive consumer graphics cards from competing with its own professional accelerators in the lucrative AI sector. Essentially, the company is redirecting its limited semiconductor manufacturing allocation toward higher-margin products without necessarily sacrificing its position in the gaming market, as neither the GeForce RTX 5080 nor RTX 5090 have direct rivals.

Even if Nvidia has indeed discontinued shipments of GB202 processors for consumer graphics cards, GeForce RTX 5090 boards are unlikely to disappear from the market overnight. Nvidia's add-in-board partners, distributors, and retailers likely have inventories of GPUs and finished graphics cards that could sustain availability for some time. However, if Nvidia no longer supplies GB202 processors for GeForce products, the availability of RTX 5090 cards will inevitably decline, which will affect prices of these AIBs.

Meanwhile, Nvidia could be preparing to refresh its GeForce RTX 50-series lineup. The company has long been rumored to be developing GeForce RTX 50 Super graphics cards, including an RTX 5080 Super with 24GB of GDDR7 memory, although their introduction has reportedly been postponed due to memory supply constraints. The rumored GeForce RTX 5080 24GB could therefore represent a revival of these plans, and with no more GeForce RTX 5090 32GB on the market, the new product will have better memory supply.

Nvidia is also developing its next-generation Rubin-based GeForce RTX 60-series GPUs, but recent rumors suggest that these products will not arrive until late 2027, or even 2028. Consequently, if the reports about the discontinuation of the GeForce RTX 5090 are accurate, Nvidia could leave the enthusiast gaming market without a GB202-class flagship for a considerable period, so if you are in the market for the absolute best graphics card, now is the time to get it.

Ukranian DLSS 5 experimenting YouTube channel Valery Kryzhanovsky showcases the MS-DOS version of Pac-Man with 4x Multipass in four different rendering modes. The video shows weird and glitchy effects, with some rendering modes completely removing green Inky’s eyes and the dots.

This cursed experiment is another attempt at putting DLSS 5 in games it wasn’t designed for, nor are the games designed to use such upscaling technology. While Nvidia’s leaked upscaler has been used for modern 3D games it’s designed for, it has become a meme to run it in games that aren’t even 3D at all, and some attempts aren’t even games at all.

Valery was able to do this by running Pac-Man through the MAME arcade emulator and using ReShade to inject DLSS 5 into the graphics pipeline, and RenoDX to allow the DLSS 5 parameters to be tweaked. Valery emphasizes that this is not native, and of course it isn’t; the game was never designed to accommodate anything like it — that’s why it needed to be injected externally.

Valery elaborates why 4x Multipass is needed in his blog post, saying that 1x basically does nothing for some older games. Multiple passes are needed in order for the changes to stack up, stating that this usually makes it look bad, but in some cases, photorealism could be achieved. However, for Pac-Man, there is basically no 3D information DLSS 5 could gather. The game is flat, and it has barely any human-like features for DLSS to enhance, except eyes, which is probably why it gave it sunken eye bags or cheekbones, as Valery described in the description of the video. Duke Nukem, however, fared a lot better with the metal environment and occlusion along the walls and ceiling.

In the video, Valery tries out 4 different rendering modes: Natural, Default, Cinematic, and Denoise. Valery describes each mode: “Natural keeps the maze readable. Default decides the ghosts need cheekbones. Cinematic puts Blinky in a film nobody greenlit. Denoise clears the board of everything, dots included. One yellow circle, four ghosts, and four different opinions about what any of them are supposed to look like.”

The video doesn’t state which modes are enabled, but one of the modes definitely removed the eyes from the green ghost, making it look genuinely terrifying, as if it were one of those cursed game Creepypastas. All it needs is some red dots in that hollow chasm, and you’d have a stereotypical 2013 scary meme.

Valery further explains in his blog post that DLSS 5 is still undertrained, lacking temporal context, and is similar to earlier DLSS models. The 150MB DLSS 5 build is only a small peek into what it could be come release date — which will come with a more mature model and likely a larger file size.

The open-source AnyPS5 project has reached 100% GPU shader instruction coverage, a significant milestone in its effort to run PlayStation 5 games natively on Windows and Linux PCs. The project's live progress tracker now lists all 1,166 instructions in its tracked AMD RDNA 1 and RDNA 2 instruction set as implemented. There's a fairly important asterisk attached to that number, though: it doesn't mean the PS5's GPU is fully supported, much less that PS5 games are ready to run on your PC.

The distinction is in how AnyPS5 defines "implemented." In this case, it means the project's shader decoder recognizes an instruction. That's an essential first step, but it doesn't necessarily mean every instruction is implemented in translation to SPIR-V, never mind a guarantee that the instruction's behavior is correct in every situation, that every GPU feature is supported, or that a game's shaders will render properly. Consider the network libraries: libSceHttp is reported at 95% implementation, but the technical-debt document explicitly states that no HTTP request reaches the network in the current implementation.

If you're confused about AnyPS5, let me break it down for you. The most accurate starting point is "native porting through binary transformation and API reimplementation," rather than conventional PS5 emulation. AnyPS5 takes an existing PS5 executable (in standard ELF format, like Linux) and relinks it into a native x86-64 Linux ELF or Windows PE executable. It doesn't need the game's original source code, and it doesn't rebuild the game from scratch; instead, it adapts the existing machine code and supplies native replacements for the PS5 system libraries the game expects to find.

The line gets blurrier when we reach the GPU. PS5 games use Sony's proprietary AGC graphics interface and AMD RDNA-specific shader instructions instead of the standard graphics APIs and shader formats familiar to PC developers. AnyPS5 reimplements the necessary graphics behavior and translates RDNA shader programs into SPIR-V for execution through Vulkan. That's translation, reimplementation, and arguably some emulation of hardware behavior at different levels, but it's not a conventional emulator recreating an entire virtual PS5 and running the game inside it. The CPU code can generally execute directly on a compatible x86-64 host, though AnyPS5 also provides a "--to-intel" option to convert supported AMD-only instructions for Intel processors.

There's plenty left to do beyond shader decoding. The project's tracker reports 84.69% implementation across 2,578 of the 3,044 system-library functions currently declared in its codebase. That figure doesn't represent every function in the PS5's firmware, nor does it guarantee that each implemented function behaves exactly as it does on the console. Graphics state, texture formats, synchronization, memory management, audio, and other system services must also work correctly for an entire game to run.

The project's official compatibility list currently identifies Dreaming Sarah, a charming but technically very simple 2D platformer, as its single verified playable title. Developers are making progress with more demanding games (including the recent Ghost of Yotei), but experimental bring-up reports still document substantial rendering, stability, and performance problems. Reaching a game's intro or rendering its first 3D scene is real progress; obviously, it isn't the same thing as playing through the game.

There's also no retail-disc-to-desktop shortcut here. AnyPS5's documented workflow starts with an already-extracted game ELF, its associated modules and resources, and a properly built set of host-side compatibility libraries. It isn't a disc-ripping or decryption tool, so you're going to have to figure out how to extract the game ELF and resources yourself.

Hardware requirements will vary by game, but memory headroom is a big concern: on Windows, the project warns that a title may request up to 13,824 MB (13.5 GB) of direct memory, with the full allocation charged against the system's commit limit immediately. That's not a universal free-RAM requirement, but it does mean that this isn't something to try on any old PC with 16GB of RAM and a small page file.

To be clear, none of this should be taken to mean I'm not gobsmacked by the achievement. Recognizing every instruction in the project's tracked RDNA list is a critical step toward broader compatibility, and the work now being done to translate those instructions and reproduce the surrounding GPU behavior is precisely what makes the project interesting. There's real work by humans going on here, too; the project counts over 100 human contributors besides the expected assistance from Claude (and potentially other assistants not credited directly on GitHub).

The more likely long-term outcome of AnyPS5 isn't a universal PS5 emulator where you insert a disc and press "play," but a powerful framework for unofficial native PC ports of individual games. There's a tricky legal tangle to work out there, though, and there's also still a tremendous amount of work between today's milestone and that future, but progress on the project is rapid. It may well be the case that we end up playing the PS5 version of GTA VI on PC before Rockstar drops an official PC release.

YouTube hardcore PC modder TrashBench attached waterblocks, a water pump, and a 360mm radiator to a Metabox laptop with an Nvidia GTX 1060 and Intel Core i7-8750H. This Frankenstein’s monster of a laptop dropped a whole 60℃ on both the CPU and GPU during benchmarks and stress tests and gained an average of 14% after overclocking.

TrashBench, a YouTuber popular for extreme PC modifications involving various watercooling solutions, decided to “fix” laptop cooling by taking a cut-up 360mm AIO from another project and plans to use it on the Metabox P950EP. Metabox is an Australian brand of laptops rebranded from Clevo, an ODM brand from Taiwan that often gets rebranded in various countries. TrashBench intends to use this laptop for his daughter to play Fortnite on.

The modder intended to use the stock AIO pump along with a second waterblock for the CPU, but after testing whether it would be strong enough to push through a second block, TrashBench realized he would need a bigger pump. He also needed to use another waterblock since the new pump was a standalone one, unlike the waterblock and pump combo on an AIO.

The waterblocks were mounted via a 3D-printed holder, then screwed down to the existing holes previously used for the stock heatpipe and blower cooler. More 3D-printed mounts were used to hold the radiator behind the screen of the laptop, but couldn’t be screwed in because the space between the screen and shell was too small. TrashBench reluctantly used Loctite 2-part epoxy to attach the radiator mount onto the laptop.

That’s not all epoxy was used for, as he didn’t forget about the RAM and VRMs. A heatsink was attached to them, with thermal pads bringing the RAM level with the VRMs to use a single heatsink for each cluster. The VRMs had a dab of thermal paste and a spot of epoxy to keep the heatsink in place, making the modification permanent.

After fully assembling everything and attaching the blocks, pump, and radiator with flexible clear tubes using screw hose clamps, TrashBench tested it for leaks. “I think we’re good,” he says, just before a few bubbles passed by.

The laptop uses 19v, while the pump and fans use 12v, so a DC-DC step-down converter was soldered to the original blower fan’s electrical contacts. Unfortunately, the power source powers on as soon as the laptop is turned on, with no way to make them only turn on under load. So the modder used a toggle switch mounted to a 3D-printed plate, screwed onto the bottom shell that had a large gaping hole cut out of it to accommodate the pump and waterblocks.

To allow the laptop to stand, a 3D-printed riser was screwed to the bottom and is the final touch to the build. As ridiculous as it looks, it impresses with its performance, averaging 60℃ below stock, with the CPU and GPU staying well below 40℃ under full load.

Conservative but clear performance gains were seen after benchmarks, but with the amount of temperature overhead, TrashBench decided to see how much more he could get by overclocking, and it was worth it, as Forza Horizon 5 went from 75 FPS to 77, and then to 83 FPS after overclocking.

Hot on the heels of a Ukrainian drone strike on a Russian Yandex data center in Sasovo that caused a major outage, a Yandex facility in Kaluga has been struck in a similar fashion. The huge data center was so badly damaged that Russian state media admitted that multiple modules had been removed from service completely.

United24 Media reports that the facility is located in Grabtsevo industrial park and was designed to be the largest Yandex data center in all of Russia. It only entered service in the second half of 2023, lasting three years before this incident.

The Kaluga data center is a sprawling complex that covers around 1.4 million square feet (130,000 square meters). It's so vast that its 63-megawatt power capacity is around 50% higher than some other data centers owned by Yandex. With more than 3,800 server racks, it's perhaps easy to see why it became a target for Ukraine's drone operators. If, of course, the facility was the intended target for the attack — something yet to be confirmed.

As for what all those server racks actually do, it's reported that Yandex's internal services are housed at the facility. It was ultimately built to allow Yandex to expand its cloud offering.

It's as yet unclear how this drone strike is affecting everyday Russians, but the previous Sasovo strike also impacted Yandex Cloud. At the time, users reported problems with Yandex Mail, Disk, Documents, Pay, and Market despite Yandex claiming that key services remained up and running.

Russian state media TASS confirmed the severity of the attack, saying that “Several modules of the Yandex data center in Kaluga have been completely taken out of operation as a result of a UAV attack, [Yandex] reports.”

This incident is just the latest in a run of attacks on digital infrastructure both in Russia and Ukraine. Russian missiles struck a Ukrainian facility earlier this month, taking the world's second-largest torrent tracker offline in the process.