Generative AI Won’t Revolutionize Game Development Just Yet

these tools’ low barrier of entry, says Adrian Hon, the CEO and founder of independent games developer Six to Start and the co-creator ofProcedural generation, at least as the term is typically understood, requires a coder; anyone can use tools like Midjourney and Stable Diffusion. He can see how they could help with prototyping or mood-boarding during a game’s early concept phase.

But, Hon notes, many artists are skeptical of AI. Part of the backlash to the generative AI hype has been that these tools are modeling their output on the work of human creators. Some are even suing Stable Diffusion and Midjourney, claiming that Stable Diffusion, which powers Midjourney, was trained on images. “Obviously, there’s a whole copyright question. We know about all these suits going on,” he says.

As with so many discussions about automation, the hype here is detached from current reality . But, leaving reality for a second, it’s notable that much of the conversation around generative AI seems almost to revel at the prospect of replacing humans.

“The focus on generative AI is another facet of what feels like an attack on creators and the act of creation, one that is expressed in a lot of different ways in our society right now,” he says. Reflecting a prevailing mood among artists across mediums, he sees nothing interesting about art made by an AI. “It’s a dead end,” he says.

There’s definitely an unsettlingly inhuman element to all of this, one that you could imagine manifesting as a torrent of AI-generated shovelware run on predatory monetary systems. But at the higher echelons of game development, games created entirely by machines—ones worth playing, at least—are some way off. “The way some people say it’s going to be used, to just suddenly replace people and do the whole job by itself, is bullshit,” says Togelius. “You need humans.

Source: Gaming Daily Report (gamingdailyreport.net)

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