Yeah, it’s both: https://github.com/LemmyNet/lemmy/issues/4286
I had a lil dum dum moment. Lol
Check out !lemmydirectory@lemmy.dbzer0.com. :3
Yeah, it’s both: https://github.com/LemmyNet/lemmy/issues/4286
I had a lil dum dum moment. Lol
Wait, something like that didn’t even cross my mind and now I’m questioning myself… Give me a moment to look it up on my phone. Will report back if I get the answer…
Damn, I though lemmy was more open to you folks and it’s sad to see that I was simply missing what’s going on. :(
It will reach both the moderators of the community where it was commented/posted and admins of the instance where the account is made.
Read your research papers my fren.
I don’t know if that counts but fan translating comics/novels using machine translation WITHOUT DOING ANY PROOFREADING AFTERWARDS.
Look at the products or the text in the background. I thought the text was photoshopped but turns out it was generated as well.
Damn, they got me good.
Do you know how feasible is lowering the price permanently?
I wish I could watch the movie already. 😭
What we do to this planet is disturbing. (I know I don’t bring in anything to this conversation but felt like saying it.)
Meanwhile my phone lowers the volume by itself an I’m thinking how to fix it. I assume it’s because of dust or something. Annoying ah with this random popping out and lowering volume when I want sound.
Gals with axes? 🤔
Is there something about the meme that reminds you of it? Never played the game so am curious. haha
Sure, you don’t need to ask. :)
Nope, a neural network:
https://arxiv.org/abs/2408.14837 “Diffusion Models Are Real-Time Game Engines”
We present GameNGen, the first game engine powered entirely by a neural model that enables real-time interaction with a complex environment over long trajectories at high quality. GameNGen can interactively simulate the classic game DOOM at over 20 frames per second on a single TPU. Next frame prediction achieves a PSNR of 29.4, comparable to lossy JPEG compression. Human raters are only slightly better than random chance at distinguishing short clips of the game from clips of the simulation. GameNGen is trained in two phases: (1) an RL-agent learns to play the game and the training sessions are recorded, and (2) a diffusion model is trained to produce the next frame, conditioned on the sequence of past frames and actions. Conditioning augmentations enable stable auto-regressive generation over long trajectories.
My pc but that’s too easy so I choose my bed as the very next thing. Good comfortable sleep is important.