DOOM Series

unpopular opinion:

DOOM 3 was the best Doom Game.
Would love it modded to the max. A proper horror/scare doom game.
 
Liked it, but it never hit the horror/apprehension button for me.
Actually, spent more time play MP than the campaign 2016 Doom, and Eternal I didn't even push to finish.
Iterations now are just ott action gorefests, which is great, but misses the mark for me.

Love stuff like Dead Space and System Shock :love: etc.
 
I love the new Doom games. Definitely not horror but great, rhythmic gameplay - like combat puzzle games as you balance the action with rapid navigation and ammo vs health kills.
 
Liked it, but it never hit the horror/apprehension button for me.
Actually, spent more time play MP than the campaign 2016 Doom, and Eternal I didn't even push to finish.
Iterations now are just ott action gorefests, which is great, but misses the mark for me.

Love stuff like Dead Space and System Shock :love: etc.

It’s more actionlike with the pacing. The gore is just to satisfy your ego when you feel particularly badass churning through the demons.

Doom 2016 was great, the last one was just too difficult for me, even on easy. :D

I’m done with Taras Nabad on Ultra Violence. ;) still to go is Nekravol, that Urdak (heaven) level and then Final Sin.
 
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Google reaches grim AI milestone, replicates playable version of Doom using algorithm

Doom has been ported to dozens of devices, but it's never been playable quite like this. Google researchers have now generated an AI version of the retro first-person shooter classic entirely via neural network, based on ingested video clips of gameplay.

It's a milestone, if a grim one, recorded in a paper published this week entitled "Diffusion models are real-time game engines" (thanks, VentureBeat). This documents how a small team from Google were able to "interactively simulate" a version of Doom, with only a "slightly better than random chance" of humans being able to tell the difference.

Humans are still (currently) required to play Doom first, to provide the video clips of gameplay that are then fed into GameNGen, the research team's game engine which is "powered entirely by a neural model". It's the same principle as the now-commonplace ability for AI to learn from and then generate static images, based on ingesting huge amouts of dubiously-sourced data online.

GameNGen then produces sequential frames based on its learnings of 'watching' that gameplay, which are then output at 20fps with a visual quality "comparable to the original".



 
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