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I Use AI For Gaming Every Single Day
And you should too!
A little over a half of a decade ago, Nvidia launched the first version of their DLSS technology, which stands for Deep Learning Super Sampling. It used their at-the-time brand new Tensor Core technology to upscale and anti-alias video games in something approaching real-time, all while enabling performance improvements.
The current mega hype and intense capital investments of the AI boom were still a couple of years away, and the debates around AI training data and LLM’s hadn’t yet kicked off. As such the launch window of DLSS almost feels like a charming golden era for the tech, looking back. Nvidia found a legitimate early use case for these systems that persists as a wonderful example of what the tech can do today. It’s weird to watch other companies scramble to shove AI generation into everything and hope you’ll pay extra to defray their bandwidth and processing costs knowing that Nvidia solved this so long ago.
Unfortunately, like other AI tech, DLSS also sits at the center of a weird constantly rumbling online debate, with some gamers convinced that it’s a devil’s bargain and that it has done nothing but make developers “lazy” about optimization. I don’t really understand this viewpoint as anything other than intense “old way is better” thinking, so if you came here hoping for a sympathetic…
