I keep seeing this idea that RT/Tensor cores take "a lot of space up" but I really don't see any evidence of that at all. Turing has the same CUDA/mm2 as GP100 but it does it with Tensor, RT, double the cache and twice as many dispatch units and a process that's the same density. They take up space sure - they definitely don't take up "a lot of space". Regardless, I'm responding to people comparing this to Freesync vs Gsync - RPM has a fixed die cost as well that's been idle with the exception of Farcry 5 - so looking at it your way they both cost die space for a feature used in relatively little titles. As far as quality, DLSS utilizes an autoencoder which is basically the same implementation that Microsoft demonstrated for their upscaler on DirectML early last year and will most likely be the same that AMD uses. You can tweak the weights, train longer, etc to improve quality. With only one example on a game that seems to be somewhat abandoned it's hard to say what DLSS or any AI upscaler will be like.