Despite Valve’s efforts to prevent scalpers from taking advantage of the Steam Machine’s limited supply, there are still a few opportunists out there who are taking the risk of selling the pre-order slot that they have won. A quick search for “Steam Machine” on eBay would pull up results for pre-order slots sold at a significant premium above Valve’s own $1,049 retail price.

We see various listings for the 512GB version selling between $1,363.70 to $2,800 — a 30% to 167% premium. Scalper prices for the 2TB version are far more egregious, with listings priced between $2,399 and $2,899, making it 93% to 140% more expensive than buying it directly from the Steam Store.

Valve has already anticipated this event, especially given the massive interest in the Steam Machine and limited supply. This has happened multiple times before, especially with the arrival of the PlayStation 5 and every Nvidia GPU launch since the 30 series. To avoid frustration among legitimate gamers who couldn’t score a console during the first run of pre-orders but see several listings from third-party sellers with excruciatingly tall markups, Valve set up a randomized reservation system to make buying the Steam Machine as fair as possible.

“A launch that starts at a specific day and time tends to reward bots, people with fast internet connections, talented gaming fingers for quick F5/refresh reactions, and those who can schedule their life around that moment. By accepting reservation signups over the course of a few days, without any incentive to be first, we're hoping to take away some of that friction,” the company said on the Steam Machine FAQ section. “The longer timeframe also allows us to do some extra validation on the signups to make sure they're real accounts, with only one per household.”

There are some stringent requirements before a Steam account can be considered for the privilege of buying a Steam Machine. This includes: a Steam account in good standing, a Steam purchase on or before April 27, 2026, and only one Steam Machine per household. These criteria will make it quite difficult for professional scalpers to scoop up multiple Steam Machine units and sell them at a premium on the used market. Despite that, it seems a few people are willing to trade their slot for cash and have put their reservations up for sale on eBay.

If you weren’t lucky enough to secure a Steam Machine reservation, you might get tempted to pick one up from these scalpers. However, we strongly advise against that, as you’re taking several risks. For one, there is no guarantee that the seller you’re talking to is legitimate. Even though they may have 100% rating, it’s quite easy to game the system to achieve this. You might end up getting scammed out of your hard-earned cash, especially if they ask for payment first before shipping the item.

While being among the first to get a Steam Machine might bring a good feeling, you shouldn’t let FOMO dictate your spending decisions. In fact, it might even be better to wait a little longer because the first batch of Steam Machines will only have one 16GB stick of RAM, meaning it won’t have the advantages of dual-channel memory. While there’s no guarantee that future releases will use two 8GB sticks instead, Valve said this may change.

An aerospace worker and programmer created a GitHub-hosted program that lets your Steam Controller automatically walk back towards its charging puck as soon as you place it down on your desk. The web app, called the Auto-Charge Vision Tracker, uses a camera and computer vision to determine where your controller is, then it uses its powerful built-in motors to make it creep towards its docking station to top itself up when you’re not using it. The great thing about this web app is that you don’t need to install anything on your PC to use it. Just go to the website, connect your Steam Controller, ensure your camera is directly overhead your desk, click the puck, the front, and the back of your controller, and you should be good to go.

This is an interesting use case for the Steam Controller’s haptic motors, which are primarily designed to give feedback to gamers. Although this app, which you can run in the background on your browser, is designed to make recharging your controller more comfortable, you do need a flat surface without any obstructions to ensure that the Steam Controller can reach the charging puck. Aside from that, the vibration and movement on the desk tends to cause abrasion on the controller’s surface, meaning you’ll soon find flat spots appearing on the surface that contact your desk. Ray Foss, the maker of the GitHub repo, said that adding rubber feet should help prevent this and might also give the controller better acceleration and handling.

Another programmer has created something similar before — a web app that uses the controller’s rumble motor to let it slip and slide on your desk. But what makes this project different is that instead of manually “driving” your Steam Controller, it uses computer vision to automatically guide the controller back towards the charging puck, making it look like a robot vacuum.

These apps have limited usability — after all, the Steam Controller would still be unable to hop from the coffee desk in your living room to the TV console where your charging puck and Steam Machine are likely sitting. Nevertheless, it shows Valve’s commitment to making it easy for gamers to use their devices the way they want to. The company even released the CAD files for the Steam Controller and Puck back in May 2026, just a few days after the controller became widely available. But if you want to give this curiosity a try, you can easily do so by going to the Auto-Charge Vision Tracker website. The program’s files are also readily available on GitHub if you want to play around with the program and make your own version.

The memory chip shortage has caused the prices of consumer electronics to shoot up, meaning everything, from cheap phones to VR headsets, is more expensive now. But if you’re on the market for a Meta Quest 3S, now is your chance as it’s currently 15% off on Amazon. This $53.20 discount means that its price drops to just $296.79, making it close to the original $300 price point it launched at prior to the RAMpocalypse. However, this is a limited-time deal, so if you’re intent on getting that headset, you better get it right now.

• Check out the Meta Quest 3S on Amazon

This VR headset is a more affordable version of the top-of-the-line Meta Quest 3, which was launched about a year earlier, and is originally $250 cheaper. But even though Meta had to make some compromises, like lower-resolution displays and a shallower field-of-view, the Meta Quest 3S is still quite a capable device. It also feels as premium as the more expensive device, although the base version is limited to only 128 GB. If you want more storage, you can get the 256GB version, which is also discounted at 15% on Amazon, cutting its price from $449.99 to just $382.49. A copy of Batman: Arkham Shadow is also bundled with this purchase, making it a great deal for those who want to play a new game on their VR headset.

The Meta Quest 3S is a completely wireless affair, meaning you don’t have to worry about getting tangled when using it. Despite having a smaller battery compared to the Meta Quest 3, this VR headset could still last for a good 2.5 hours of continuous use. The included controllers are also powered by a single alkaline AA battery each, although we recommended in our review that you have at least four rechargeable lithium-ion batteries on hand so that you’ll always have a fresh set of batteries ready when the controllers run out of power.

If you’re looking for a great standalone VR device but want to save as much as you can, the Meta Quest 3S deal is exactly what you’re looking for. But you have to act quick as the discount that brings it down to pre-memory chip shortage pricing is only available today.

If you're looking for more savings, check out our Best PC Hardware deals for a range of products, or dive deeper into our specialized SSD and Storage Deals, Hard Drive Deals, Gaming Monitor Deals, Graphics Card Deals, gaming chair, or CPU Deals pages.

OpenAI CEO Sam Altman said during a staff Q&A meeting that its latest model, GPT-5.6, is available in limited preview to only a small group of customers handpicked by the U.S. government. According to The Information, the federal government, specifically the Office of the National Cyber Director and the Office of Science and Technology Policy, asked the AI tech company to stagger the release of its latest model. While Altman did not mention how long the delay for the general release of GPT-5.6 will be, he said in a memo that he hoped it would happen in a couple of weeks. In the meantime, the U.S. government is granting access to the latest model on a case-by-case basis only.

Despite OpenAI’s agreement to the delay, sources say that Commerce Secretary Howard Lutnick called Altman to warn him against releasing GPT-5.6 to the public without prior approval from government agencies. “We’ve made clear to the U.S. government that this is not our preferred long-term model and will work with them and others in industry to achieve a more sustainable approach for future releases,” the OpenAI chief said in the Thursday memo.

This wasn’t the first time that an American AI lab has delayed the release of its frontier model due to security concerns. Back in early April, Anthropic released Claude Mythos Preview to select key institutions first, allowing them to prepare for the general release of the powerful AI model. It eventually built Fable 5, a watered-down version of Mythos with built-in safeguards to prevent misuse, and released it in June 2026. However, the U.S. government disagreed with the company’s belief that it was a safer model and put both Fable 5 and Mythos on an export control list just three days after it dropped. This meant that foreign nationals, even those who work for Anthropic, are banned from accessing the model. Since the company cannot enforce compliance, it just decided to pull the model completely from the market.

The increasing advancement of AI models has the White House scrambling to prevent them from falling into the wrong hands. This is especially true as it continues to compete with rival China for supremacy. Although the U.S. has taken steps like export controls to slow Beijing’s progress, many industry leaders believe that it’s only a matter of time before the East Asian country catches up. So, even though the Trump administration initially promised that it would reduce regulations to help AI advance much more quickly in the country, President Donald Trump has changed his tune and signed an executive order earlier this month that asks U.S. AI labs to give the government access to their latest models 30 days before it gets a general release.

However, this move has got some industry experts concerned. “…this escalation of government intervention is nothing to celebrate. It is horrible for the broader AI ecosystem,” Head of AI Policy and think tank Abundance Institute and former FTC Chief Technologist Neil Chilson said in their blog. “Continued arbitrary, unexplained deployment of export control authority will make companies slow-walk new models, depriving the public of powerful new tools. Every AI model, like all software before it, will have vulnerabilities that require patching. The US government should not hang a Sword of Damocles over every lab’s head, with no indication when it might drop or why.”

After Epic revealed its plan for Unreal Engine 6, CEO Tim Sweeney said in an interview that Valve should stop requiring developers from disclosing if they used AI in making their game. The Epic chief executive made the statement to PC Gamer as he was talking about the use of AI tools in game development. The upcoming version of Unreal Engine 6 will come with AI integrations, which will supposedly make it easier for programmers, developers, and everyone else working in the gaming industry to build games. However, the use of AI tools still carries a stigma among players to the point that titles with this disclosure get significantly fewer reviews and are often viewed less favorably.

He says that AI tools are useful for streamlining boring, repetitive, and menial labor, like reviewing code for over an hour to find an error or doing the rigging work required to make a 3D model move realistically. While it was unfortunate that some AI tech companies trained their models on stolen data, the Epic chief executive said that the AI industry has changed and is now moving towards better practices, especially when it comes to training data. He even pointed at Adobe, which he says is ensuring the provenance of the data it used for training its AI. However, PC Gamer pointed out that Epic uses Nano Banana and GPT Image, which do not claim stringent AI training data controls, and that the Unreal Engine’s AI integrations include models such as Gemini, which have been accused of copyright infringement.

“I think the main usage case that we've seen within Epic, and we're seeing developers actually find gainful, is using AI to reduce the drudge work. The software is still architected by software architects, and they're still writing the important parts of code, and artists are still coming up with a creative vision for characters, deciding between concepts,” Sweeney told the publication. He also added, “If you want to launch a game, and get it as widely publicized as possible, you've got to put it on Steam so people can wish list it, and if you want to play it on Steam, then you have to get this Scarlet Letter of AI attached to your product, and now there is a hater community trying to kill the game. I think it's really irresponsible of Valve. They shouldn't do it, because it makes it much, much, much harder for a game developer to have a chance of success.”

The Epic executive has a point here, as AI can indeed be a useful productivity tool if used correctly and ethically. But even if that was the case, Valve still requires developers to add the AI-generated content disclosure, which could have a negative impact on reviews and ratings. While the Steam platform does not require the disclosure of the use of AI-powered tools in the developers’ workflow, they’re required to note it if AI-generated assets appear in the game or in marketing material. This would presumably include assets that have been partially built using AI tools or were based on AI-generated content.

According to market research platform Game Oracle, titles that had the generative AI disclosure received 53% less reviews than the same type of game that did not have it. Furthermore, it’s more likely to get a negative review. However, it also conceded that several other factors could be at play here, like studios substituting creativity and the proper development process with AI tools, resulting in titles that are obviously AI slop.

Sweeney argues that AI is just a tool for productivity that could help game developers create unique content. The AI disclosure warning on Steam games, in theory, should not influence how games are perceived — after all, what should matter to gamers is the experience of playing the game. Unfortunately, the controversies surrounding AI are negatively affecting the reputation of titles that use these tools. When paired with studios that substitute AI for real creativity, it’s understandable why this AI warning has such a negative impact on game titles.

Anthropic, the American AI lab that created one of the most advanced large language models available today, has said in a letter to the U.S. Senate that Chinese AI tech giant Alibaba has illicitly used Claude to train its own models. According to Reuters, the company sent the letter to Sen. Tim Scott (R-S.C.), the chair of the U.S. Senate Banking Committee, and Sen. Elizabeth Warren (D-Mass.), the ranking member of the said committee, before a scheduled hearing set to tackle AI issues.

This isn’t the first time that Anthropic has accused Chinese AI labs of “stealing” the capabilities of its AI model to train their own. Earlier this year, the company claimed that DeepSeek, Moonshot, and MiniMax used 24,000 fraudulent accounts and made 16 million exchanges collectively to train their own AI LLMs on Claude’s output. This method of training AI using the output of a more advanced model is called distillation, and while there are legitimate uses of this technique, such as when a frontier AI model is distilled to create a lighter, cheaper version of itself, it argues that competing labs can also use the same technique to build their own models at “a fraction of the time, and at a fraction of the cost, that it would take to develop them independently.”

The American AI lab says that it traced the distillation campaign back to operators that had connections with Alibaba, one of the largest Chinese tech companies often compared to Amazon, and Alibaba Qwen, its AI lab. Anthropic warns that distillation may help China create a frontier AI model that could match Mythos Preview’s capabilities — something many American lawmakers are afraid of.

While U.S. tech companies still enjoy an advantage when it comes to the latest AI models, Chinese tech companies are quickly catching up. In fact, Elon Musk estimated that a Chinese AI lab would have achieved a Fable 5-class AI model by the first quarter of next year, but the CEO and founder of Chinese AI lab Z.ai confidently replied, “won’t take that long.” Aside from that, many enterprise users are slowly switching to more affordable open-source Chinese LLMs for their agents as token costs spiral out of control, reserving the most powerful (and expensive) American models only for the most complicated tasks.

Both the U.S. and China are pushing hard to achieve AI supremacy, with the two rivals taking steps to reduce the advantage of the other. For example, Washington has been using export controls to limit Chinese access to advanced hardware needed to build the most advanced chips and for training AI, while Beijing countered this with its own controls on rare earth materials, some of which serve as key ingredients in chip making.