Great, so now all games require AI-upscaling you’re left out of any ability to play them
EN/NL PhD @ TU Delft CGV Loves EDM, LoL, TFT and MTG
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Great, so now all games require AI-upscaling you’re left out of any ability to play them
my card supports FSR
Yeah this is “we have DLSS at home”. As someone who tested both, DLSS is the actually good one, FSR is a joke of an imitation that’s just slightly fancier TAA. Try DLSS Quality at 1440p or DLSS Balanced at 4K and you’ll see it’s game-changing.
Yeah the top one is accidental so if you’re farting you’re probably still wearing your pants
I have 30h in the game now. It’s worth the hype.
Not working on Sync, Android 14, Pixel 7 :(
He’s definitely proficient at handies
Predecessor
In the original episodes, Shinji accepts the instrumentality project. In EoE he rejects it. Very significant difference
Eva is fantastic now that the rebuilds actually have a somewhat uplifting ending that gives perfect closure. I detested Eva for many years but my mind was changed by the rebuilds
Not without his heart exploding
Tbh that’s right wing rhetoric. “It doesn’t matter that it’s factually false, it’s enough that it could be true”
Can we talk about trans lefts instead?
Unfortunately doesn’t work on LCDs, your black point also goes up
I’m not from the US, Idc
Cursive big f: “integration”, which can be interpreted in two ways. One is “area under the curve” for some part of the curve. Other is “average value of a part of the curve multiplied by the size of that part of the curve”. Curve being the function, the graph, f(x), however you wanna call it.
Normal d: “differentiation” (from difference), infinitely small change. Usually used in ratios: df/dx means how much does f(x) change relative to x when you change x a little bit.
Cursive d: “partial”, same as normal d but used when working with higher dimensional data like 3D. Can also mean “boundary” of something. Example: boundary of a volume in 3D, like wrapping paper around a box. Or, boundary of such wrapping paper itself, if it’s not perfectly connecting.
Omega: just a Greek letter used as a variable, in this case there’s a history of it being used as a sort of “density” variable in the field of differential geometry. The college row in the meme is kind of translating the high school row from a function to a 3D volume.
Neural networks aren’t going anywhere because they can be genuinely useful, just not to solve every problem
That’s specifically LLMs. Image recognition like OP has nothing to do with language processing. Then there’s generative AI which needs some kind of mapping between prompts and weights, but is also a completely different type of “AI”
That doesn’t mean any of these “AI” products can think, but don’t conflate LLMs and AI as being the same
To Dr. Iver Mectin