A veteran AI researcher and games industry professional argues that the rush to embrace generative AI is damaging the games industry's reputation and obscuring genuinely valuable ML applications. The piece distinguishes between harmful generative AI hype (IP violations, hallucinations, energy costs, slop) and legitimate ML uses already embedded in games production—motion matching, matchmaking, QA bots, GPU profiling, and upscaling. The author calls for the industry to reclaim the narrative, establish good practice guidelines, and honestly evaluate where generative AI helps versus harms, warning that consumer anti-AI sentiment is already growing and will intensify if studios don't act responsibly.
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The boom (and bust?)Finding meaning in the noiseIt's not black and whiteFor every gain, where is the loss?Sort: