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Streamers And Voice Actors Refuse To Work With Popular New Gacha Game Over Gen AI Concerns

Streamers And Voice Actors Refuse To Work With Popular New Gacha Game Over Gen AI Concerns https://ift.tt/UiGrP1F At first glance, Neverness to Everness has everything that a gacha game fan wants and needs--cute character models, a supernatural open world, and even realistic cars to drive around in. However, just a few days after launch, some players have begun to spot assets suspected to have been created with generative AI. As a result, popular streamers and even a voice actor that worked on the game have started refusing to work with Neverness to Everness and its developer, Hotta Studio. In one video , many are pointing out "artifacting"--unintended distortions that occur as a result of using AI to generate an asset. At one point, the character's entire outfit design appears to change after his hand blocks a portion of it. In another part of the game, players claim that Neverness to Everness features a billboard with scenes from the anime Weathering With You that appe...
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The Last Of Us Part 2 Remastered Trailer Shows Off Roguelike No Return Mode

The Last Of Us Part 2 Remastered Trailer Shows Off Roguelike No Return Mode https://ift.tt/Z1gcpAG

The Last Of Us Part 2 Remastered was announced last month, and one of the most interesting new features it will add is a roguelike survival mode called No Return. Naughty Dog has now released a trailer that shows what players can expect when they take on the Infected, Clickers and more in this all-new way to play.

No Return will let players choose between multiple familiar faces from TLOU2, with Dina, Jesse, Lev, and Manny all shown on the character-select screen. Other names seen on the character menu include Ellie, Joel, Abby, Tommy, and Mel.

Players will find weapons and mods throughout a run, which will allow them to slowly power up as they battle more powerful enemies. When a player dies, they’ll be able to start again, but the weapon mods found in subsequent runs will be randomized.

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