Creating A video game demands hard, repetitive work. How Could it be? Developers are in the business of building world, so it’s easy to understand why the Industries of games I would be thrilled to hear about generative AI. With A small team of computers could make a map that is as big as a football field. San Andreas. Crunch The days of games being released in an unfinished state are gone. A new age is coming.
There These are, at the most, two interrelated issues with this narrative. First, there’s the logic of the hype itself—remIniscent of the frenzied gold rush over crypto/Web3/the metaverse—that, consciously or not, seems to consider automating artists’ jobs a form of progress.
Second, there’s the gap between these pronouncements and reality. Back in NovemberWhen? DALL-E appeared to be everywhere, venture capital firm Andreessen Horowitz Posted a Long-term analysis Their website boasts about a “generative AI revolution in games” That would accomplish everything, from reducing development time to changing the types of titles being produced. The The next month Andreessen Partner Jonathan Lai Posted a Twitter Thread Expounding on a “Cyberpunk where much of the world/text was generated, enabling devs to shift from asset production to higher-order tasks like storytelling and innovation” Theorizing about what AI could do “good + fast + affordable” game-making. Eventually, Lai’s mentions filled with so many irritated replies that he posted a Second thread Recognizing “there are definitely lots of challenges to be solved.”
“I have seen some, frankly, ludicrous claims about stuff that’s supposedly just around the corner,” ” Patrick MillsThe acting lead for the CD franchise content strategy is. Projekt RedThe developer of Cyberpunk 2077. “I saw people suggesting that AI would be able to build out Night City, for example. I think we’re a ways off from that.”
Even Many people who advocate for generative AI in games believe that a lot of the excitement over machine learning is out of control. It’s “ridiculous,” ” Julian Togelius, codirector of the NYU Game Innovation LabHe has written dozens upon this topic. “Sometimes it feels like the worst kind of crypto bros left the crypto ship as it was sinking, and then they came over here and were like, ‘Generative AI: Start the hype machine.’”
It’s not that generative AI can’t or shouldn’t be used in game development, Togelius explains. It’s that people aren’t being realistic about what it could do. SureWhile AI can design generic weapons and create dialog, it is not as efficient as text or image generation. You Generators that create a face with wonky ears and gibberish text can be forgiven. But A broken level of a game is no good, regardless how magical it may look. “It is bullshit,” He says, “You need to throw it out or fix it manually.”
Basically—and Togelius has had this conversation with multiple developers—no one wants level generators that work less than 100 percent of the time. They Make games inaccessible, and destroy entire titles. “That’s why it’s so hard to take generative AI that is so hard to control and just put it in there,” He said.