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AI can’t make good video game worlds yet, and it might never be able to
Long before the generative AI explosion, video game developers made games that could generate their own worlds. Think of titles like Minecraft or even the original 1980 Rogue that is the basis for the term “roguelike”; these games and many others create worlds on the fly with certain rules and parameters. Human developers painstakingly work to make sure the worlds their games can create are engaging to explore and filled with things to do, and at their best, these types of games can be replayable for years because of how the environments and experiences can feel novel every single time you play.
But just as other creative industries are pushing back against an AI slop future, generative AI is coming for video games, too. Though it may never catch up with the best of what humans can make now.
Generative AI in video games has become a lightning rod, with gamers getting mad about in-game slop and half of developers thinking that generative AI is bad for the industry.
Big video game companies are jumping into the murky waters of AI anyway. PUBG maker Krafton is turning into an “AI First” game company, EA is partnering with Stability AI for “transformative” game-making tools, and Ubisoft, as part of a major reorganization, is promising that it would be making “accelerated investments behind player-facing Generative AI.” The CEO of Nexon, which owns the company that made last year’s mega-hit Arc Raiders, put it perhaps the most ominously: “I think it’s important to assume that every game company is now using AI.” (Some indie developers disagree.)
The bigger game companies often pitch their commitments as a way to streamline and assist with game development, which is getting increasingly expensive. But adoption of generative AI tools is a potential threat to jobs in an industry already infamous for waves of layoffs.
Last month, Google launched Project Genie, an “early research prototype” that lets users generate sandbox worlds using text or image prompts that they can explore for 60 seconds. Right now, the tool is only available in the US to people who subscribe to Google’s $249.99-per-month AI Ultra plan.
Project Genie is powered by Google’s Genie 3 AI world model, which the company pitches as a “key stepping stone on the path to AGI” that can enable “AI agents capable of reasoning, problem solving, and real-world actions,” and Google says the model’s potential uses go “well beyond gaming.” But it got a lot of attention in the industry: It was the first real indication of how generative AI tools could be used for video game development, just as tools like DALL-E and OpenAI’s Sora showed what might be possible with AI-generated images and video.
In my testing, Project Genie was barely able to generate even remotely interesting experiences. The “worlds” don’t let users do much except wander around using arrow keys. When the 60 seconds are over, you can’t do anything with what you generated except download a recording of what you did, meaning you also can’t plug in what you generated into a traditional video game engine.
Sure, Project Genie did let me generate terrible unauthorized Nintendo knockoffs (seemingly based off of the online videos Genie 3 is trained on), which raised a lot of familiar concerns about copyright and AI tools. But they weren’t even in the same universe of quality as the worlds in a handcrafted Nintendo game. The worlds were silent, the physics were sloppy, and the environments felt rudimentary.
The day after Project Genie’s announcement, stock prices of some of the biggest video game companies, including Take-Two, Roblox, and Unity, took a dip. That resulted in a little damage control. Take-Two president Karl Slatoff, for example, pushed back strongly on Genie in an earnings call a few days later, arguing that Genie isn’t a threat to traditional games yet. “Genie is not a game engine,” he said, noting that technology like it “certainly doesn’t replace the creative process,” and that, to him, the tool looks more like “procedurally generated interactive video at this point.” (The stock prices ticked back up in the days after.)
Google will almost certainly continue improving its Genie world models and tools to generate interactive experiences. It’s unclear if it will want to improve the experiences as games or if it will instead focus on finding ways for Genie to assist with its aspirational march toward AGI.
However, other leaders of AI companies are already pushing for interactive AI experiences. xAI’s Elon Musk recently claimed that “real-time” and “high-quality” video games that are “customized to the individual” will be available “next year,” and in December, he said that building an “AI gaming studio” is a “major project” for xAI. (Like with many of Musk’s claims, take his predictions and timelines with a grain of salt.) Meta’s Mark Zuckerberg, who is now pushing AI as the new social media after the company cut jobs in its metaverse group, envisions a future where people create a game from a prompt and share it to people in their feeds. Even Roblox, a gaming company, is pitching how creators will be able to use AI world models and prompts to generate and change in-game worlds in real time, something that it calls “real-time dreaming.”
But even in the most ambitious view where AI technology is feasibly able to generate worlds that are as responsive and interesting to explore as a video game that runs locally on a home console, PC, or your smartphone, there’s a lot more that goes into making a video game than just creating a world. The best games have engaging gameplay, include interesting things to do, and feature original art, sound, writing, and characters. And it takes human developers sometimes years to make sure all of the elements work together just right.
AI technology isn’t yet ready to generate games, and whoever thinks it might be is fooling themselves. But AI-generated video is still bad, and it was still used to make a bunch of bad ads for the Super Bowl, so tech companies are probably still going to put a lot of effort toward games made with generative AI. In an already unstable industry, even the idea that AI tools could rival what humans can make might have massive ramifications down the line.
But the complexity of games is different from AI video, which has improved considerably in a short period of time but has fewer variables to account for. AI game-making tools will almost certainly improve, but the results might never close the gap from what humans can make.
- In a long X post, Unity CEO Matthew Bromberg argues that world models aren’t a risk, but a “powerful accelerator.”
- While the video game industry probably shouldn’t feel threatened by AI world models just yet, generative AI tools will continue to be controversial in game development. Even Larian Studios, beloved for games like Baldur’s Gate 3, isn’t immune to backlash.
- Steam requires that developers disclose when their games use generative AI to generate content, but in a recent change, developers don’t have to disclose if they used “AI powered tools” in their game development environments.
- Some games, like the text-based Hidden Door and Amazon’s Snoop Dogg game on its Luna cloud gaming service, are embracing generative AI as a core aspect of the game.
- NYU games professor Joost van Dreunen has a take on the situation around Project Genie.
- Scientific American has a great explanation of how world models work.
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Valve has some good news and bad news about Steam Controllers. The good news: if you make a reservation for a Steam Controller, the company will now show you one of three estimates of when you’ll be able to actually order your gamepad: by September 2026, by December 2026, or sometime in 2027. The bad news: any reservations made today “indicate a 2027 date for shipping,” Valve says.
“We have no plans to stop making Steam Controller,” according to Valve. “But as we look at the current demand compared to how many we know we can make by the end of the year, we want to manage expectations as much as we can with regards to when folks can expect to receive their order.”
Valve’s very good new Steam Controller went on sale in early May, and the initial rush led some people to run into frustrating problems with trying to check out ahead of the controllers eventually going out of stock. A few days later, the company announced that it would be implementing a reservations queue for interested buyers so they could get on a waitlist. If you’re on the waitlist, when you get notified that a Steam Controller is ready for you to buy, you have 72 hours to actually make the order.
“When we launched Steam Controller last month, we quickly saw that initial demand exceeded our expectations,” Valve says. “Switching to a reservation queue has (hopefully) cut down on the headaches on the customer side, and for us it’s also been helpful as we plan ahead and try to get as many out as quickly as we are able.”
All three of Valve’s big hardware products were delayed from a planned early 2026 launch because of the component crisis, Valve still hasn’t announced when the Steam Machine PC or Steam Frame VR headset might go on sale. However, just yesterday, Valve officially launched its big SteamOS 3.8 update with support for the Steam Machine. It’s also been importing a lot of hardware into the US as of late.
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The next time you pull up to a McDonald’s drive-thru, the voice taking your order may not be human. McDonald’s is testing a new AI-powered system called ArchIQ at five U.S. locations. The company has not said where those restaurants are located. The voice assistant, nicknamed Archy, can take drive-thru orders and has shown it can handle both English and Spanish.
For anyone who has repeated “no pickles” into a speaker box more than once, this could sound helpful. However, if you remember McDonald’s last AI drive-thru experiment, you may also wonder whether your burger order could somehow turn into a bag full of surprise McNuggets.
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WOULD YOU EAT AT A RESTAURANT RUN BY AI?
McDonald’s is testing an AI drive-thru system called ArchIQ at five U.S. restaurants. (Kurt “CyberGuy” Knutsson)
What is McDonald’s AI drive-thru?
ArchIQ is McDonald’s new AI system for restaurants. It can take drive-thru orders and also help with operations behind the scenes.
In a post on X, McFranchisee, an anonymous McDonald’s franchisee account, said the system is currently in five test stores and has processed more than one million transactions. The account also said about 90% of orders were completed without a human stepping in. That number sounds promising. Still, McDonald’s has not confirmed a nationwide launch date. For now, this remains a limited test.
The system also appears to connect with a bigger McDonald’s plan called “McDonald’s > NEXT.” CEO Chris Kempczinski described the strategy as a way to bring in more customers and improve restaurant productivity. The plan also includes menu changes, restaurant redesigns, technology upgrades and more focus on hospitality.
Why McDonald’s is testing AI ordering
Drive-thrus can get chaotic fast. Someone changes an order after the total appears. A child calls out from the back seat. Road noise makes the speaker hard to hear. Then the driver remembers the extra sauce after everything has already gone through. That is the type of pressure McDonald’s wants AI to handle.
If ArchIQ works well, it could help restaurants move cars through the line faster. It may also reduce mistakes during busy hours. Workers could then focus more on preparing food, handling payments and helping customers who need a real person.
ArchIQ also appears to have a management role. In the same X post, McFranchisee described Archy as a tool that could alert managers to bottlenecks or other issues before they slow down operations.
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The AI assistant, nicknamed Archy, can take drive-thru orders and may also help managers spot restaurant slowdowns. (McFranchisee)
McDonald’s tried AI drive-thru ordering before
This new test follows McDonald’s earlier AI drive-thru experiment with IBM. That program involved more than 100 restaurants. McDonald’s ended the test in 2024 after customers complained about order accuracy. Some mistakes also went viral, creating an embarrassing moment for McDonald’s and raising questions about whether the technology was ready for the drive-thru. Customers reported wrong items, strange quantities and other order mix-ups. That history is why this new test will get extra attention.
This time, McDonald’s is working with Google technology. McFranchisee also claimed every McDonald’s in the U.S. is getting Google Edge Cloud hardware in anticipation of the rollout. McDonald’s seems to believe the newer system can perform better than the last one. The real test will come when regular customers use it during real drive-thru rushes.
How McDonald’s AI drive-thru could help customers
If McDonald’s gets this right, the most obvious benefit is speed. An AI ordering system does not get tired during a long shift. It may also help more customers order in the language they prefer. That could make a busy drive-thru feel less frustrating, especially during breakfast or late-night hours.
The system may also ask clearer follow-up questions and catch missing details before the order reaches the kitchen. That would be a win for customers who want to get in, get their food and get on with the day.
The biggest problem with AI drive-thru orders
The biggest concern is accuracy. AI can still misunderstand people. That gets frustrating fast when you are trying to grab lunch between errands or get your kids fed from the back seat. A wrong order wastes time. It also puts workers in the position of fixing a mistake the machine made.
There is also the customer service side. Some people like hearing a real person at the speaker. Others may find an AI voice cold or annoying, especially if the system gets confused.
Then there is the privacy question. If an AI system takes your order, customers may wonder what gets collected, how long it is kept and who can access it. McDonald’s has not publicly explained those specifics for this current ArchIQ test.
ALEXA+ LETS YOU ORDER FOOD LIKE A REAL CONVERSATION
A drive-thru menu board stands outside a McDonald’s restaurant in Hercules, Calif., on Oct. 23, 2024, amid an E. coli outbreak linked to onions in Quarter Pounder sandwiches that has sickened dozens and killed one person across the U.S. (David Paul Morris/Bloomberg via Getty Images)
How to avoid AI drive-thru mistakes
Before you leave the drive-thru, take a moment to check the order screen. Make sure the items match what you said. Listen when the system repeats your order. Keep your receipt until you confirm the food is right.
Also, avoid sharing extra personal details at the speaker box. Your order should only require your food choices and payment.
If the AI gets confused, ask for a crew member. You do not need to keep going back and forth with a machine over fries.
What this means for you
For now, you probably will not notice a change at your local McDonald’s. The ArchIQ test appears limited to five U.S. restaurants, and the company has not said when it could expand.
Still, this gives customers a preview of where fast food may be heading. AI could soon play a bigger role in how restaurants take orders and manage the kitchen. That may speed up the line, though it could also make the experience feel less personal.
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Kurt’s key takeaways
McDonald’s clearly wants AI to play a bigger role in its restaurants. From a business point of view, the idea makes sense. Shorter drive-thru lines could help franchisees and customers. Better restaurant data could also help managers fix problems faster. But I still want the human backup. Food orders can be messy because people are messy. We change our minds. We talk over each other. We forget the extra ketchup until the last second. AI may handle much of that one day. For now, I would treat it like any busy drive-thru interaction. Speak clearly. Check the order. Do not pull away until you know your food is right.
Would you trust an AI voice to take your McDonald’s order, or do you still want a real person on the other end of the speaker? Let us know by writing to us at Cyberguy.com
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Midjourney CEO David Holz just showed off the company’s first hardware product and plans to build a San Francisco spa, which he admitted is a bit different from the “cat pictures” produced by its AI image generator. Dubbed The Midjourney Scanner, it’s an ultrasound-based full-body scanner that uses a ring of sensors to capture vertical slices of the inside of your body, looking at the composition of your muscle, fat, bone, and organs to start. Holz said ideally, you could do this once a year or every single day, as it “aims for image quality comparable to MRI in many ways.”
He mentioned that one way he’d like to use it would be to see how his body changes in response to diet and workout changes, saying, “I’m not the most measured man on Earth yet, you know, but maybe I want to have that daily [measurable information].” A set of job listings advertises the company’s goal as trying to “build and launch the world’s first full-body ultrasound CT scanner, ultimately bringing safe, fast, and high fidelity preventative scanning to billions via a magical spa experience.”
The Midjourney Scanner was developed in a partnership with ultrasound tech company Butterfly Network, which said it uses “40 Butterfly Ultrasound-on-Chip imaging modules per system.”
The scanning process starts with stepping onto a platform that drops down into the water on rails through a ring of thousands of transducers that create ultrasonic waves. It then records the ripples passing through your body to analyze them and create detailed 3D images. The scan takes about 60 seconds. Holz said about a dozen people have been scanned so far.
It starts by stepping into a shallow pool of golden light. You then begin to descend into the water. Your body passes through a ring of underwater sensors, each acting like a dolphin, using its echolocation. The sensors send ultrasonic sound waves through your body from every angle. With enough waves, and enough angles, we form an image of what’s happening inside your body.
It combines those sensors with two petaflops of processing power. But after watching the livestreamed reveal, I’m still unclear on what Midjourney’s AI image generation tech exactly has to do with the Midjourney Medical effort, beyond an alternative business for otherwise-unused AI compute.
Holz hopes to put 10 of the scanners into a Midjourney Spa location in San Francisco’s Union Square that will open before the end of 2027 and offered to scan the hands of attendees at its launch event. The Midjourney Spa will have a gym, saunas, and cold plunges to go along with the hot tub–equipped scanning rooms where visitors will get into the water to be scanned.
He did mention that various medical applications would require FDA clearances, but for now, Midjourney Medical says it’s working on “body composition maps” that don’t require the same level of clearance as diagnostic imaging. It also says the “library of scans” users create can be shared with doctors, AI health tools, or others, and that, “We take data privacy seriously — more details on our data policies will come as we get closer to launch.”
Holz suggested that eventually these scans could become better than an MRI, without radiation, powerful magnets, or other complicating factors, to get a look at what’s going on inside people’s bodies “real fast.” In response to a question, he imagined a future where the FDA had a class of devices to look at “weird” things and allowed people to “just try to get as much data as we can.”
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