is a senior reporter covering technology, gaming, and more. He joined The Verge in 2019 after nearly two years at Techmeme.
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How it started
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.
How it’s going
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.
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