We're Laugh-Crying at This Footage of an AI-Generated Video Game
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We're Laugh-Crying at This Footage of an AI-Generated Video Game
"Last week, AI investor Matt Shumer posted AI-generated first-person-shooter footage that was intended to be an impressive glimpse at the future of video games. "AI games are going to be amazing," he tweeted in the caption of the 84-second clip. But instead of demonstrating that the video game industry is about to be revolutionized by the advent of generative AI, the clip drew widespread derision and mockery."
"And it doesn't take long to figure out why: to call the video AI slop carnage would be an understatement. The clip lacks virtually any degree of continuity or cohesion, with entire subway stations and cars popping into existence at random. "Bro, this looks like s***," one unimpressed user tweeted in response. "This is what video games look like to someone who doesn't play video games," another user offered."
"The model used in the video struggles greatly to render text, for instance, with the character following signs through a subway - or "Sublone" - station to a "Canual" or "Canuial" street in "Uptoown" of an unidentified metropolis. One freeze-frame reveals what appears to be a poor imitation of an in-game context menu, with labels offering the player to "Coidemt" or " Lerg"
An AI-generated first-person-shooter clip intended to showcase future video game visuals was widely mocked for incoherent, artifact-filled output. The footage lacks continuity and cohesion, with entire subway stations and cars popping into existence and scene elements appearing and disappearing unpredictably. Generated text and UI elements are garbled — signs read "Sublone" and "Canual" or "Canuial" and a context menu shows options like "Coidemt" or "Lerg". The clip reveals that current generative video models struggle to render believable three-dimensional spaces, maintain spatial consistency, and reproduce controlled environments comparable to modern game engines, undermining immersion.
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